1 Internet of Things, Cryptography, Blockchain and Data security: New Trends and Challenges , Muzafer Saracevic
Security is a very important aspect of a smart system as one of the core smart city components. That is why the concept of smart cities must pay special attention to the security of the individual Internet of Things (IoT) components that make up smart cities. For an IoT system to operate smoothly, all participants in the communication must permit the system to collect information about them - e.g., on the street by various sensors, at home by various devices, such as mobile devices, etc. Such a large set of data collected about the citizens in a smart city is a major security issue [1].
2 Acceleration Analysis of a Rotating Object , Ryspek Usubamatov
Any rotating object with variable velocity about a fixed point generates centrifugal and tangential accelerations that are the components of the inertial forces. The known textbooks of engineering mechanics contain chapters for the acceleration of a ro- tating object that is presented by not accurate mathematical processing. Such a mathematical model for the acceleration of the rotating object yields the incorrect result that leads an unjustified increase in the size of the mechanical component of machines. In engineering, rotating components of machines is a subject of exact computing of inertial forces which non-observance reflects on the reliability of their work. This work considers an analysis of the acceleration of a rotating object at a fixed point and pres- ents the precise mathematical model for its acceleration. Keywords: Radial and Tangential Acceleration; Rotating Object; Fixed Point
3 The Recurrence Inversion of the rotating objects at the Space Stations is the Gyroscopic Effect. , Ryspek Usubamatov, Marek Bergander
The space flights of the astronauts discovered a new physical phenomenon that is recurrence inversions of the rotating objects at the condition of weightlessness. This physical effect is an object of stare studying by scientific researchers of the entire world. They published only a dozen manuscripts with approximated and numerical models and assumptions because of complex prob- lems. The analytical approaches of the new gyroscope theory enabled the description of the physics of the phenomenon of the rotating object in the weightless conditions of space flights. On the rotating object, at the free flight, are acting the inertial forces generated by its circular motions around the earth and its rotating mass. Keywords: Inertial toque; Gyroscope theory; Mathematical model; Inversion
4 A State-Space Model from a Finite Element Method of Flexible chassis Model and Control It by (LQR) Problems , Mohamed Reyad Ghazy, Ayman M Abdel Haleem, Alla Ahmed Abdul-Rahman and Magdy Abdul-Aty Abdullah
The present paper aims to design an active vehicle system suspension by modification passive suspension into consideration the chassis is flexible to provide us the actual suspension image to make the best performance of the car and ride comfort. Cre- ation of a State-Space half-car Model from a Finite Element, Model achieved by use MATLAB and Controlled by (LQR) Problems with its parameters Q and R which used in the determination of optimal car suspension systems design. The challenge is mini- mizing the chassis deflection; displacement and reduce the acceleration of suspension vibration. It is shown in our result that the model response to the Q and R-value is positive. Keywords: Finite Element method; Beam equation; alf car vehicle; Simply supported beam
5 DeepGen Network based Voice Conversion , Sheena Christabel Pravin, M Palanivelan, S Saravanan
A DeepGen network is proposed for voice conversion, which is the process of modification of a speech utterance by a source or- ator to that of a target orator, preserving the linguistic contents. Automatic dubbing is an application of speech processing which facilitates the modelling of the large variability of pitch. The proposed DeepGen network automizes voice conversion by taking blocks of consecutive frame-wise linguistic and fundamental frequency features. This block-wise approach models temporal dependencies within the features of the input block. Voice conversion, which is also called as voice cloning has always required significant amount of recorded speech but the proposed DeepGen network intends to convert one voice to another using a rela- tively smaller set of speech samples by bootstrapping samples from a larger speech dataset. The proposed generative model is a variant of the convolutional generative model with encoder and decoder blocks that bring into line the hidden structures of the feature spaces from the source and target voices on a two-stage training process. An attractive and efficient voice conversion is thus obtained in the real-world scenario using the proposed DeepGen network. The novelty of the work lies in the induction of a deep learning generative network for cloning voice in Tamil language. Keywords: DeepGen network; Voice Conversion; Generative Network; Convolutional generative model; Feature spaces
6 DeepGen Network based Voice Conversion , Sheena Christabel Pravin, M Palanivelan, S Saravanan
A DeepGen network is proposed for voice conversion, which is the process of modification of a speech utterance by a source or- ator to that of a target orator, preserving the linguistic contents. Automatic dubbing is an application of speech processing which facilitates the modelling of the large variability of pitch. The proposed DeepGen network automizes voice conversion by taking blocks of consecutive frame-wise linguistic and fundamental frequency features. This block-wise approach models temporal dependencies within the features of the input block. Voice conversion, which is also called as voice cloning has always required significant amount of recorded speech but the proposed DeepGen network intends to convert one voice to another using a rela- tively smaller set of speech samples by bootstrapping samples from a larger speech dataset. The proposed generative model is a variant of the convolutional generative model with encoder and decoder blocks that bring into line the hidden structures of the feature spaces from the source and target voices on a two-stage training process. An attractive and efficient voice conversion is thus obtained in the real-world scenario using the proposed DeepGen network. The novelty of the work lies in the induction of a deep learning generative network for cloning voice in Tamil language. Keywords: DeepGen network; Voice Conversion; Generative Network; Convolutional generative model; Feature spaces
7 Spatial Computing - Revolutionizing Industry and Mankind , Snigdha Sen
Smart and compact is the new lifestyle. And hence, our machines should also cope up with this lifestyle of our fast-moving lives, where performance shall not be compromised by the spatial aspects of our machines. Whether it be installing virtual forms into actual space or placing actual objects in a machine for digitization, it is Spatial Computing. To summarize, it is an umbrella term for Augment- ed, Virtual and Mixed Reality. Fueled by AI, Spatial Computing devices can spatially sense the world around us. Spatial Computing will be the next wave of disruptive technologies that will get its foothold in the 2020s.
8   Grand Challenges for Technical Education in India and The Future of Engineering Education , R Natarajan
This Paper provides an analysis of the Challenges and Opportunities for Technical Education, globally and with particular reference to India. The concept of Grand Challenges is first explained, followed by the Grand Challenges for Technical Education in India. The evolution of Engineering Education systems worldwide is traced through the response of Global and National Engi- neering Education to Industry 5.0. The impact of pervasive Change all around us is demonstrated through several examples, lead- ing to the demise of business and education as usual. The special features of XXI Century Learners and Teachers, the emerging changes in employment and careers and the opportunities and challenges for Engineering Education in India are next discussed. Th evolution of Industry 1.0 to 5.0 is next traced along with the corresponding evolution of Education 1.0 to 5.0. The dire need for changes in Engineering Education Systems and Processes is demonstrated through the changes in the four subsystems com- prising the overall system. The future of Engineering Education is postulated in terms of the integration of several features which have existed as separate entities till now, and the creation of Education 5.0 -compatible graduates
9 Influence of Blasting Activities on Slope Stability: A Case Study , Mohamed Fredj, Riadh Boukarm and Abderrazak Saadoun
In the phosphate mine, the Kef-Essnoun deposit extended to (N75° E), soft and brittle tectonics resulted in an abrupt change in the dip of the phosphate layer flush or the dip angle is subvertical or steeply inclined towards the Southeast and sometimes the Northwest. The overall edge angle of the pit evaluated at 55° for a depth of 75 m. Several incidents of slope failure occurred in the mine, and a considerable disruption to production and monetary losses occurred. It is expected that slope failures may be triggered due to blasting in a steeply sloped laminate. In order to study the causes of slope failures, on the one hand, a back analysis was applied in order to assess the most probable physical and mechanical characteristics of the layer generating the movement, and on the other hand, the slope was analyzed by the limit equilibrium methods (LEM). The calculation of the safety factor (SF) value was carried out under static loads and dynamic loads were taken into account, which led to the conclusion that the dynamic load affects the safety factor. Keywords: Slope stability; Blasting; Safety factor; LEM; Open-pit Mine
10 New Image Encryption Scheme Based on Dynamic Substitution and Hill Cipher , Younes Qobbi, Abdeltif Jarjar, Mohammed Essaid and Abdelhamid Benazzi
In this work, we propose a new color image encryption technique. After transiting of the original image into a vector and de- composing it into blocks of three pixels, along with modifying of a seed block by an initialization vector computed from the plain image, a preliminary confusion will be handled by a substitution matrix developed under the control of the two chaotic maps used in the system. The achieved block will be injected in affine transformation provided by an invertible matrix accompanied by a dynamic translation vector to surmount the problem of null or uniform blocks. The encrypted block will be linked to the original block to setup diffusion and avalanche effect to protect the system from differential attacks. Simulations ap-plied to on a large number of color images prove the robustness of the pro-posed approach against known attacks. Keywords: Chaotic maps; Affine transformation; Substitution
11 Internet of Everything (IoE): Intelligence, Cognition, Catenate , Ganesh Khekare
Internet of Things (IoT) focuses on physical entities whereas Internet of Everything (IoE) focuses on everything viz., People, Pro- cess, Things, Data. IoE intelligently tries to collect and process the data not only from IoT but also from various technologies and even treat people as a node. The IoE is transpiring technology. In the last decade demand for IoE has been increased due to various things like the use of smart devices; increased demand for voice-based services; the concept of smart cities has been evolved; more requirements of processed data in fields of artificial intelligence and machine learning; fog computing, edge computing, deep learn- ing, data analytics, etc. IoE is expected to reach the milestone of 30 billion IoE units at the end of the year 2022. IoE has emerged as a key technology that enables everything to be connected through the internet. As technology is advancing day by day, automa- tion is playing an important role. In every field, IoE is generating a vast amount of data like health systems, traffic systems, smart city monitoring systems, education systems, social networking sites, government organizations, etc. To handle a huge amount of data, a system is required through which it becomes easier to track, analyse, handle, and apply that data in a better way [1].
12 Security of Internet of Things , Smita Sanjay Ambarkar
Internet of Things (IoT) escalates the technology to new heights thereby tremendously increasing the ranges of the connected appli- cations [1]. The applications of IoT mainly include healthcare, agriculture, smart homes, vehicles, mart cities, smart grids etc. The IoT creates revolution in all the applications using the interconnection of embedded devices like sensors, actuators, gateways. The services provided by these IoT based applications are resultantly excellent. However this ubiquitous computing generates the huge data and therefore the protection i.e. providing privacy and security to this data is a prime concern. If the security and privacy of this data is not taken care of then it highly impedes the future development. Many IoT devices uses the open source software which further enhances the insecurity in these devices [2]
13 Upcoming Technological Advancement in Renewable Energy Sources (Solar, Wind & Fuel Cell) , Siddhi Vinayak Pandey
The demand of renewable energy generating resources are increasing drastically due to rapid increase in global energy demand. Renewable energy based resources provide green energy which protects the environment and make our living sustainable. The re- newable energy based resources decreases our dependency to limited resources such as: coal, fossil fuels etc. It is economically good and decreases our dependency to foreign energy sources also. The recent trending renewable energy generating resources are: Solar, Wind & Fuel Cell.
14 Smart Materials: Fabrication, Usage and Challenges , N Gupta
Smart materials are the materials which can change their shape on application of force, temperature etc. They regain their structure when force is withdrawn. Such materials are finding their widespread usage in different industries as medical, semi-conductor, aero- space, defense etc. sectors. These materials such as Nitinol, can act as per the stimulus applied and they are widely used in making artificial limbs etc. Now a day’s miniature medical instruments are also used which have a high degree of precision, accuracy. They are used in admin- istering drugs, medicines etc. They are corrosion resistant and are compatible with the human body. They are also used in neurology, cardiology, orthopedics and stenting [1].
15 Material Selection for Manufacturing Disc Brake Rotor for a Racing Go Kart Having Single Hydraulic Disc Brake System , Aman Dharmendra Chheda and Ravikant Hattale
In a racing go kart with single hydraulic disk brake system, disc or rotor is a device for slowing or stopping the motion of a wheel while it runs at a certain speed which converts kinetic energy into heat energy. The widely used brake rotor material is Grey Cast Iron (CGI) which consumes much fuel due to its high specific gravity. Also, it is heavy due to high density which in return affects the performance of the race go kart. The aim of this paper is to develop the material selection method and select the optimum material for the application of brake disc system emphasizing on the substitution of this cast iron by any other lightweight material. Material performance requirements were analysed and alternative solutions were evaluated among cast iron, aluminium 7075 T6, titanium grade 5 alloy, and stainless steel 420. Mechanical properties, thermal properties, FEA (finite element analysis), were used as the key parameters in the material selection stages. The analysis led to Titanium Grade 5 mate- rial as the most appropriate material for brake disc system for a 150-cc racing go kart having single hydraulic disc brake system with the top speed of 110 Kmph. Keywords: Racing Go-Kart; Disc brake rotor; Grey cast iron; Aluminium; Titanium; Stainless steel; Material Selection; Mechan- ical; Thermal; FEA
16 New Heuristic to Optimize the Travelling Salesman Problem , Souhail Dhouib
One of the fundamental combinatorial problems is the Travelling Salesman Problem (TSP) where a salesman is invited to visit all cities with the cheapest cycle. To solve this problem, we designed in [1] a new column row heuristic entitled Dhouib-Matrix-TSP1 (DM- TSP1). DM-TSP1 is characterized by its rapidity to generate an initial basic feasible solution after just n simple iterations where n is the number of cities. Also, DM-TSP1 is branded by its flexibility to use different statistical metrics such as Sum, Min, Range, Standard De- viation, Q1, Q3 etc. Furthermore, inspired from DM-TSP1 we designed in [2, 3] a new stochastic heuristic named Dhouib-Matrix-TSP2, a new iterated metaheuristic in [4] and a new multi-start metaheuristic in [5]
17 Cloud Computing Security Issues , Muhammad Imran Tariq
Handheld devices captured the world and now every person who is technology dependent is replying upon the cloud computing. The rapid growth in the user of the mobile computing arises various question and opened new dimensions of research. Now, the uni- versities and industry stake holders are looking new ideas to maximum utilize the mobile computing benefits and give maximum relief to its customers. This mobile computing and cloud computing gives both hardware and software advantages and also new concepts. Cloud computing being the new technology in the field of information technology is the most recogonized and emerging technology. In past, lot of researches have been conducted to find the different areas of cloud computing but still few areas are still needs to be explored including the security, privacy, business values. The most hot topics that needs to be explored are current gaps and trends. The industry reports and practical experiences should be given most weightage. We needs to highpoint the importance of the cloud computing and its security and privacy issues.
18 Data Science: The Science to understand Oil of 21st Century , Geetika Vashisht and Vishesh Goyal
21st century is all about automation. Human race is obsessed with automation. Taking Amazon’s shopping website as an instance, it uses customers’ shopping data to figure out the shopping patterns and tries to predict your next order and to restock its warehouses nearest to you with what you are most likely to order so they can get products to you as soon as possible. This is called “prime now” under which they deliver 90 percent of things you need within 3 hours. Amazon even has patent called anticipatory shipping under which they will try to deliver things before you even order them based on your data. So, amazon is trying to become a little wishing machine you just open it and you get what you wish for. Also, apps like YouTube and instagram can keep you engaged for hours with- out even needing your input, they have this auto play feature under which you can passively enjoy for hours. So, what is driving all of these advancements? It’s the data -the oil of 21st century and Data science is an ensemble of techniques to extract petrol from this oil which is in a sense useless in its raw form. Now, the question arises that where this data does comes from? It’s from us, everything we do online all of our searches, likes, credit card swipes, Facebook posts everything is being collected into a trillion-dollar data industry. The reason why Facebook, Google, Amazon are the most powerful companies on planet is because last year data surpassed oil in value. These companies have mastered how to use the data they collect efficiently and reap huge number of profits from it. But let’s take a step back and ask ourselves first!
19 Conventional Photogrammetry versus UAV-Photogrammetry , Irineu da Silva
The term photogrammetry has various meanings for different application areas and over time, it has changed its definitions de- pending on the technological stage of its development. Currently, the most adequate definition is to consider it as the methodology for modelling 3D space from 2D images generated by digital sensors. In the beginning, it was just photogrammetry which became Analog Photogrammetry, Analytical Photogrammetry and finally, Digital Photogrammetry, which is being replaced by two competing terms which are conventional photogrammetry and UAV-photogrammetry. The question here is whether they are sufficiently different to deserve two distinct denominations
20 Conventional Photogrammetry versus UAV-Photogrammetry , Irineu da Silva
The term photogrammetry has various meanings for different application areas and over time, it has changed its definitions de- pending on the technological stage of its development. Currently, the most adequate definition is to consider it as the methodology for modelling 3D space from 2D images generated by digital sensors. In the beginning, it was just photogrammetry which became Analog Photogrammetry, Analytical Photogrammetry and finally, Digital Photogrammetry, which is being replaced by two competing terms which are conventional photogrammetry and UAV-photogrammetry. The question here is whether they are sufficiently different to deserve two distinct denominations
21 Contribution of Creative Mathematicians in the Development of Machine Learning , Muzafer Saracevic and Dzenis Pepic
Machine Learning and Deep Learning are two areas in Computer Science that are expanding and are increasingly finding applica- tions in solving the real problems of the industry. They are related to developing the ability to “learn” computers without prior explicit programming, but rather a conceptually inverse process is already taking place, in which the machine uses a huge amount of data and recognizes laws due to which certain processes occur. Machine learning relies on so-called models, which represent a wide range of mathematical functions that originally belong to different mathematical disciplines, such as algebra, mathematical analysis, probabili- ty, and statistics, or discrete mathematics. And all this is simplified through various computer software and tools.
22 ICT Advantage that creates a paperless Work Environment in an Academy of Technical Educations , K Kamal
This paper is on the use of an Student Information Management System (SIMS) that facilitated students, teaching and non-teach- ing staff’s to online collect data and also digitally manage them effectively, On use of such systems in the campus, it converts the Academy into a paperless office through its various modules which have been highlighted here along with some suggestions on the possibility on customization to pave way further and hence to much suit the Academy’s digital work flow requirements in future.
23 On a Customised ‘Sims’ that Buttressed Student Centric Green Pedagogy in the Academy during Corona-Lockdow , K Kamal and Ekta Malik
The outcomes of an in-house intellectual research carried out that provided the necessary input to customize and make it more worthy of a Student Information Management System (SIMS) developed earlier by an IT firm for the Technical Education Academies, are highlighted here. Each of the modules of this SIM subsequently were so customized to effectively incorporate all those necessary changes which arise from researched conducted to incorporate some of those basic concept of IoT with it. This researchinvolved was pertaining to threading each other all those existing IT systems running within the campus of an Academy. Once completely customized, this SIM was then found to have buttressed in disseminating the student centric green pedagogy in the academy specially during this Covid-19 Pandemic Time. Keywords: ICT-(Information and communication Technology); e-Governance, ERP-(Enterprise Resources planning; SIM-(Stu- dent Information Management); ATE-(Academy of Technology Education); OBE-(Outcome Based Education)
24 UVC Based Sanitizing Chamber , Dr. Syed Sumera Ali, Suryawanshi Ajit Rohidas, Karpe Dipika Aniruddha and Agrawal Shashank Radheshyam
In this pandemic situation of COVID-19, sanitizing is one of the most important and crucial activity which needs to be done timely. As per the report issued by medical experts COVID-19 can leave on the surfaces that the patient or a person suffering from Covid-19 may touch timely. The molecules of virus can land on surfaces or devices of daily use and thus infecting the it and making it more prone to be infectious. The contagious mode of the virus makes it more deadly and results in extreme precautions to be taken in order to prevent an individual from getting infected by the virus. In order to overcome this problem sanitizing chamber can be used to sterilize the equipment and make them ready to use again for the users. In a country with less developed medical facilities and services sterilization proves to be a useful step. The medical equipment like masks, mobiles, wallet, small clothes, etc. can also cause viruses. Our project provides support to healthcare organization’s looking for alternative methods to preserve and reuse such equipment. In the context of COVID-19, everyone has to protect themselves and for that, everyone is doing what they need to do to pro- tect themselves, but we are making this project to sanitize the things that can be infected due to certain things. People are using sanitizer to protect themselves from getting infected but if they can’t use sanitizer on some things then they can be bad because there are different types of sanitizers available in the market but they are in liquid form and you can use liquid sanitizer on your mobile, electronics, and money. Can’t use and to avoid the risk that a person can be infected from this thing, we have started this project in which you can sanitize your mobile, electronics, money, etc., and its use will not spoil those things, because it is not in liquid form, but in light form. Destroys germs. Keywords: UVC; COVID-19
25 Pre-Processing of Multichannel Biomedical Signals Based on Information-Measuring Systems , Djumanov Jamoljon, FF Rajabov, KT Abdurashidova, NS Botirov and IB Zuparov
In the paper has considering the possibilities of creating hardware and software of circuits, algorithms and software for processing and recognition of biosignals. And also, the creation of a circuit, algorithms and software for the system for picking up, processing and selecting biosignals. The aim of the research is to develop a method, an algorithm, and a complex of applied programs for automatic recognition of electrocardiographic signals to improve the efficiency of diagnostics of cardiovascular diseases. The object of research is systems for measuring, analyzing and selecting biosignals. Keywords: Biomedical signal; Digital filtering; EEG; ECG; Gastrogram; Enterogram; Filter coefficient; visualization; Non-invasive method; Software; Interference suppression
26 New Challenges and New Approaches to the Development of the Vocational Education system in the Central Black Earth Economic Region , Moiseev Vladimir Viktorovich and Pastukh Tamara Alexandrovna
The article deals with issues related to the development of vocational education in the Central Black Earth Economic Region as a key component of the formation and development of human potential. The article examines the current state of vocational education in five regions and identifies the main internal constraints and external challenges facing the vocational education system. The authors define the conditions for the further development of the higher education system, promising areas of activ- ity of universities and propose an algorithm for the formation of the concept and design of a competitive educational program. Keywords: Human capital; Professional education; Educational development; Educational program concept; Educational pro- gram development
27 Engineering and the Environment , Mainak Ghosal
We all know that our environment is a complex of physical, chemical, and biotic factors that act upon all living beings or communi- ties. In Dictionary environment simply means ‘surroundings’ (environ) and it is the aggregate of that which includes social & cultural conditions or influences. The environment provides us food (Roti), clothing (Kapda), shelter (Makan), and fulfills all our desires and needs whether big or small. Moreover, the entire life support or ecological cycles of humans depends wholly on the environment. In ad- dition, it also helps in supporting and maintaining various other thousands of ecological cycles sustaining on earth. The environment we live in is made up of natural or geographical and built or man-made. We Indians have a tradition of worshipping our environment as Vaastu-Shastra breaks down it into five (5) parts namely-fire, air, water, earth & space. Even before India’s independence in 1947, several environmental legislations existed but only after the UN Conference on the Human Environment (Stockholm, 1972)did the National Council for Environmental Policy and Planning within the Department of Science and Technology was setup in 1972. This Council late revolved into a full-fledged Ministry of Environment and Forests (MoEF) in 1985 which today is the apex administrative body in the country for regulating and ensuring environmental protection. India is the 1st country to effect such legislation where con- stitutional sanction was given to environmental concerns through the 42 nd Amendment, which incorporated them into the Directive Principles of State Policy and Fundamental Rights and Duties. Last but not the least, it may not be exaggerated to mention that animals (e.g., Crayfish-quality of freshwater; Corals- seawater rise and sea temperature fluctuation, which in turn are signals of climate change; Peregrine falcons-an indicator of pesticides like DDT; Frogs/toads-pollution, etc.) often act as an indicator which offers key clues to environmental change and pollution and by monitoring changes in the behavior, physiology, or the number of an indicator species, scientists can monitor the health of its whole environment.
28 Physics of Gyroscopic Effects , Ryspek Usubamatov
The history of sciences contains unusual examples of the achievements in physics and mathematics, which methods did not use for problems in applied science during the centuries. One such example is the intricate motions and acting forces of the ordinary revolving disc, which theory was worked out in our time. The top toys were invented in ancient times, which intricate motions aston- ished the people of different civilizations. The unusual motions and acting forces of the top toys today are called gyro effects [1].
29 Vibration Attenuation and Joint Navigation through Robust Control System Hardware for Multi-Degrees-of-Freedom Flexible Robots , Pratik Chothe, Shreyash Gajlekar, Aniket Bhelsaikar, Viinod Atpadkar, Nilesh Uke and Debanik Roy
The inherent vibration occurring due to compliance of Flexible Robotic System (FRS) provides numerous challenges to achieve accuracy at the end-effector of the FRS. This paper focuses on the study of influence of electronic control system hardware over electromechanical output of the FRS. The paper provides an insight to the relationship between drive current and motor torque with vibrations in the system. Design details of the novel indigenously-developed control electronics and, finally the controller of the prototype FRS will be reported in this paper, backed up by the glimpses of mechanical hardware. The performance and robustness of the prototype FRS will be finally discussed based on some representative analysis and results thereof. We will dis- cuss about implementing various trajectory functions in the control program of the prototype FRS. The paper will further lead to modified linear trajectory where parabolic blends are introduced to reduce the infinite acceleration, which would eventually reduce the vibration in the links of the FRS. Keywords: Flexible Robot; Control System; Electronics; Vibration; Rheology; Sensor; Gripper; Trajectory Functions
30 Ontologies in Various Domains: A New Perspective of Ideas , Tanaya Das
The term ontology came from two Greek words i.e., “Onto” and “logos”. It denotes “study or knowledge about everything that ac- tually exists”. Philosophers defined the word “Ontology” in their own way. It is discipline of philosophy [1] that deals with structures of things, events, processes, and relations in every aspect of reality. In recent years, research in multidisciplinary fields has exploded in various sectors or domain. “Ontology” term from philosophy was adapted and repurposed to fit the needs of sectors or domain. Thecore goal of ontologies is to provide a vision of a domain. Ontologies consist of all relevant domain-specific terminologies and con- nections that help to identify core concepts and accumulate critical information related to the domain. Nowadays, ontology is deployed in various fields to capture the domain knowledge.
31 Managing Alumni-Alma Mater Relationship , R Natarajan
This paper looks at several facets of alumni-alma mater relationship and strategies for managing it for achieving success. It is recog- nized that nostalgia is the glue that can sustain the relationship, and continuous mutual communication is essential to keep alive the relationship. There are mutual expectations which must be carefully fulfilled. The driving forces for promoting the alumni-alma mater relationship and critical success factors should be recognized and nurtured. Regular Reunions, on campus and at the different alumni centers are necessary to maintain the momentum of the relationship
32 Application of Man-Machine-Environment System Engineering to Create a New World of Changqing Oilfield , Jiajun Sun
A small oil field has been unknown in the past 30 years, why in the last 10 years it created an amazing miracle in China and even in the global oil industry? To answer this question scientifically, you have to have a scientific theory. In terms of depth and breadth of this problem, undoubtedly the most scientific theory is systems engineering theory; and from the perspective of oil- field production growth referred to on this issue, the most appropriate theory is man-machine-environment system engineering (MMESE) theory. Changqing oilfield applied MMESE to develop low-permeability reservoirs with extraordinary results, proving the value of MMESE. Keywords: Application; MMESE; Changqing oilfield
33 Revisiting Global University Rankings , R Natarajan, P N Razdan and Madhu B K
Interest in and popularity of global university rankings have been on the rise worldwide. They have been utilized by the several stakeholders for different types of decision making. There is also general recognition that no ranking system is perfect and there are specific criticisms of each ranking system. One of the most controversial parameters is Perception which THE and QS claim to be the centerpiece of their systems and allot about half of the overall score to it. This aspect is examined here with respect to THE and QS global ranking systems and the national NIRF rankings, by comparing the scores with and without inclusion of the perception scores. It is argued that Perception is entirely subjective and comes in the way of providing a level playing field for all institutions.
34 Estimation of Level of Algorithms Parallelization and Efficiency of Using Different Error- Correction Codes in Cloud Realizations of Parallel Computing Algorithms , Igor Melnyk and Andriy Luntovskyy
The basic matrix algorithms for statement of parallel task in the cloud computing systems are considered in this paper. This algorithm is generally based on using the approach of arithmetic-logic relations and forming of recurrent matrixes. Possibility of using different error-coding methods for sending the request on parallelization task and receiving the answer is also considered. Comparative analyze of corrective ability of RS and convolutional codes is provided. As a result of provided investigations the relation for estimation the level of task parallelization is proposed. Choosing of convolutional codes for transmitting the data for parallelization the calculation task in cloud systems using of convolutional codes is recommended. Keywords: Parallel Computing; Cloud Computing; Arithmetic-Logic Relation; Error-Correction; RS-Coding; Convolutional Coding
35 Circular Economy and Sustainability , Sharad Gupta
Circular economy offers an alternative to linear economy model and can provide up to $4.5 trillion in economic benefits to 2030. It would give these benefits by promoting the removal of waste and the persistent safe use of natural resources. This transition to circular economy would requires unique collaboration considering that only 8.6% of the world is circular today (Gawel, A, 2021) [2]. For this long journey, research must look at sustainability from the perspective of consumers also who consider sustainability in different buying situations (Gupta & Sinha, 2015) [7] more so during this time of COVID19 pandemic (BCG, 2021) [1]. Production and consumption represent two sides of the same coin. Therefore, research must look at both production as well as consumption for increasing circularity in pursuit of sustainability. We now examine circular economy and sustainability from production perspective and then from consumption perspective.
36 Image Segmentation and Optimization Techniques: A Short Overview , Shubham Mahajan and Amit Kant Pandit
Segmentation aims to distinguish many essential parts that define objects. Segmentation, a challenging step in image processing, plays a key role in detecting objects and pattern recognition [1]. It is necessary to develop an image segmentation algorithm that does not require human intervention and minimal computational resources. The solution to the problem previously proposed relies on C and K-means clustering algorithms [2-3]. But the cluster number computation was its key drawback, along with the fact that the sys- tem’s computing complexity increased exponentially.
37 Advancement in Manufacturing: Industrial Revolution 5.0 , Rahul Katna
Industrial revolution 5.0 is the buzzword nowadays. Although we haven’t really got the optimum from the industrial revolution 4.0, yet the Industrial 5.0 in now gaining attention from manufacturers worldwide. The concept of was first presented by Japan as Society 5.0 as A human-centered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space [1-3]”. The focus of IR 5.0 shifts from shareholders to stakeholders and, additionally, it rein- forces the contribution of industry to the society at large.
38 Materials Innovation and Design using Manufacturing Techniques, Md Salah Uddin
Materials manufacturing processes and systemic mechanical behavior investigations are necessary requirements for materials in- novation and applications. Mechanical performance and cost-effectiveness are pivotal parts of the application and requirement-driven material design process. Therefore, the structure-property relationship addresses the material design and mechanical and chemical (i.e., corrosion) performance in various engineering applications
39 Scheduling with Maintenance Technique in Dynamic Job Shop System including Machine Breakdowns, Kaouther Ben Ali, AchrafJabeur Telmodi and Said Gattoufi
Machine scheduling is concerned with the problem of optimally scheduling available machines. However, scheduling literature review has been focused on common assumptions that machines are available at all times. The availability constraint is may not frequency occurred because a machine may become unavailable during a certain periods of time. This paper is addressed to study the problem of job shop in dynamic environment with the risk of random machine breakdown. It is considered a NP Hard optimization problem. Predictive maintenance is an answer to prevent the system from risk of machine breakdown. The objective function is to minimize the completion time of the last job being executed. Hence, we propose a met heuristic approach based on GA approach to solve the issue. Experimentation results assume that the used approach based on maintenance function is required to produce, for each machine, the adequate scheduling plan. Keywords: dynamic job shop scheduling problem; genetic algorithm; makespan; preventive maintenance; operating schedule; optimization problem
40 Financial Management of Micro, Small and Medium Enterprises during COVID Times–Analytical Review with reference to Indian MSMEs, Abhijit Kelkar
COVID-19 outburst has harmed not only the Indian economy’s economic and social activities, but also the global economy as a whole. Cushioning levels of shocks especially for financial downs remain to be restricted for MSMEs. The main reason is due to limited potential for raising and management of funds. This generates a significant impact on MSMEs. This paper seeks to evalu- ate MSMEs’ contribution towards the Indian economy along with analyzing the barriers and challenges that existed prior to and during the COVID period. Challenges were indeed in presence before COVID 19 also but during and post COVID 19, their intensity, severity and scope have changed a lot. In addition, a few more are also emerged newly. To analyze the overall effect and impact of these challenges, a range of descriptive statistics along with correlation and co-integration is used. Cointegration is used to analyze the relation among variables such the amount of MSMEs, investment amount, employment, etc. output. This pandemic has crashed into MSMEs like a tons of bricks. COVID 19 remains to be a huge uncertainty and with the understood scope of this uncertainty so far, government must establish a continuous monitoring mechanism and announce early corrective actions to restore confidence in the MSMEs sector. MSMEs should be encouraged to connect to the internet market and fiscal incentives for this sector should also be strengthened. The Indian government should take a variety of initiatives to improve SMEs in India and achieve the goal of making India self-sufficient.
41 Vibration Signature Based Monitoring on FSW Process and Verification by FEA, Akshay Todakar, Nakandhrakumar R S, M Ramakrishnan and V Meenakshisundaram
Experimental study conducted during joining butt weld in FSW process on Al 6061 alloy of size 50 mm width X 100 mm length X 8 mm thickness of two plates wherein the effect of the interaction between the plates, tool and the vibration that occurs during the process are investigated, are reported. In this study, joining sides of the workpiece samples are artificially induced with air gaps of drilled holes in 2mm, 3mm, 5 mm diameter holes and 3mm width X 4 mm depth of slots in random distances. The vibra- tion behaviour of the tool and workpiece joining system are characterized by a frequencies arrived in modal analysis using Finite Element Analysis (FEA), each mode corresponds to tool and workpiece system. Variations in the amplitudes of vibration signals in the particular range of frequencies from 6.0 to 7.0 kHz are proportional to workpiece and significant changes in linear pattern indicate the defective and steady joining area of workpiece. So, this method is effective in monitoring of workpiece joining in FSW process. The Fast Fourier Transform (FFT) analysis of vibration signal shows the changes in individual frequencies and is used for identifying the frequency range of monitoring workpiece with gap and without gap conditions. The steady joining portions cause the vibration which corresponds to 4thregion frequencies of workpiece.
42 The Universality, Major Harm and Deep Causes of Irrational Construction Periods, Sun Jiajun
Rome was not built in a day, the Long March was not completed in one step, and the project period has its own objective laws. Respecting the objective law of the project duration, consciously using this law to serve the project, and acknowledging that the project duration is incompressible under the premise of various constraints are the theoretical qualities that every project manager should have. It is an extremely wrong concept to regard the project duration as a “sponge that is still empty at will be squeezed”, and the irrational construction period under the guidance of this concept is a universal problem in project manage- ment. Keywords: engineering duration irrational
43 Visualizing the Blue Print for 2030, Mainak Ghosal
Just 8 years in hand. By 2030, the development in India & the world will be accompanied by a shift in the underlying demographics. There will be vast changes which include increasing urbanization trends, peaking of the population in the working-age group, and a large shift towards the services sector employment. It’s high time we focus on the value of the following potential opportunities oth- erwise we may again miss the bus.
44 Analysis and Application of Pavement Interlayer Properties, Chaohua Zhao and Kang Su
The load varies with the thickness of the pavement, so there are different layers in pavement structures, between which inter- layer interfaces contacting with each other inevitably in different modes. In this paper, based on investigation and analysis, the interlayer contact modes of pavement structures are classified as “interlayer coupling” and “interlayer connection”, which are defined according to their mechanical properties. Based on the existing ordinary cement concrete pavement, this paper analyzes the formation, development and evolution of interlayer coupling, and finds that the failure of interlayer coupling is the cause of early pavement damage. Cement pavement structure with isolating course is proposed as a method and countermeasure to elim- inate these hazards, the feasibility of which is verified theoretically. Conditions and approaches achieving interlayer connection in pavement structures are proposed as well. Application of interlayer connection is introduced using a novel type of polymer skeleton porous concrete pavement structure as an example. Keywords: pavement design; interfaces; bond; roads & highways; structural analysis
45 Main Evaluation Factors of Fractured Formation Leakage in Bohai Bay Basin, Jiang Shao-long, Zhang Guo-qiang, MU Gui-peng, Yuan Ren-guo and Xin Zhao-ling
In the central area of the Bohai Oilfield including Bozhong block, the geological structure is complex, faults and fractures are extensively developed and the formation is broken. As consequence, there is leakage to some extent in most exploratory wells in Bozhong Block, significantly affecting the drilling efficiency and increasing drilling risks. The problem of well leakage in this block needs to be addressed urgently. For this purpose, the research group firstly researches into the wellbore leakage mecha- nism, and then establishes a regional leakage pressure prediction model by depiction of the main controlling factors of leakage and preliminarily obtains the following findings: (1) the leakage in Bozhong Block mainly occurs at the depth of 2700-3400m, with Member 2 and Member 3 of Shahejie Formation as the main leakage zones and the fractures and faults as the main leakage passages; (2) the fracture index that can most clearly reflect the well leakage characteristics in Bozhong Block is the fracture evaluation index obtained using the resistivity ratio method, and may be considered as a main controlling factor for evaluation of fractured leakage; (3) according to the statistics on leakage of 22 wells in Bozhong Block, there are nine wells with leakage, totaling 13 leakage points. Based on the statistics and modeling, a leakage pressure prediction model for this block is obtained preliminarily. The research on the leakage mechanism and leakage pressure prediction of fractured formation in Bozhong Block is helpful for reasonable optimization of borehole trajectory, improvement of leakage control of fractured reservoirs, reduction of drilling cost and raising of operation efficiency. Keywords: well leakage; fracture; leakage pressure
46 Deep Learning based Object Detection Methods: A Review, Divya Mishra
Recently, object detection has become one of the effective and popular trends in computer vision to deal with numerous appli- cations such as in medical image processing of breast cancer, skin cancer, brain injuries, blood cells, and more. Also, it is used in video surveillance stations for real-time monitoring of crowd and anomaly detection. The application is widely used in satellite images and astronomy, fraud detection, and in the field of remote sensing to detect disaster-prone areas from satellite images so that important measures can be taken at the correct time to overcome or reduce the loss of life and property. For example, in medical applications earlier diagnosis procedures usually tend to figure out early diabetes, cancer and a few more diseases. Despite many existing object detection methods in state-of-the-art literature, it is getting harder to identify the best fit model for the specific application or dataset. Therefore, it is highly important and much needed to bring all the existing techniques to a single platform and mention their advantages and limitations. In this paper, a thorough literature review and comparison of vari- ous existing deep learning-based object detection methods are presented using three different parameters named mean average precision, frames per second, and data set used. Such information is useful for researchers and practitioners to identify the better approaches among the others easily according to the dataset in hand. Keywords: Object detection; Deep learning; Convolution neural networks
47 Application of Java Relationship Graphs to Academics for Detection of Plagiarism in Java Projects, Divya Tyagi, Ritu Arora and Yashvardhan Sharma
In today’s online learning environment, plagiarism detection tools are increasingly used by teachers and instructors to restrain students from plagiarism. Moreover, need for plagiarism detection tools to detect plagiarism in programming assignments has also increased manifolds. In this paper, we present the application of Neo4j Graph Databases to detect similarity between Java program submissions by students, in academics. This is done by converting a Java program into a specialized dependency graph and then implementing various comparison techniques on this graph. The two graph comparison techniques proposed and implemented in this paper are based on structural comparison of graphs by node-type count comparison and elemental compar- ison of method nodes in graphs by body-element-count comparison. The results of these two techniques are combined with the call graph-based technique, proposed in an earlier work, to calculate overall similarity index between program codes. This study captures a large category of changes that may be introduced to the code for plagiarism. Keywords: Plagiarism Detection; Computer Science; Object Oriented Programming; Java Programs, JavaRelationshipGraphs (JRG); Dependency Graphs; Call Graphs; Neo4j Graph Databases
48 Namúli Mount, the Identity and the Landscape of Gurué, Rute Sousa Matos
This reflection arises from a look at the African landscape, the mountains and their ecosystems, the agriculture, the heri- tage, communities and identity. This is about the landscape, which integrates man and territory, and its multifunctionality that includes the production system (agriculture), protection (ecosystems, flows and ecological processes) and the cultural system (communities and the way they build space). This set constitutes a complex and relational system resulting in the identity of a region and the communities that inhabit it. The excessive exploitation of natural resources and the tendency towards the growth of an economy based on tourism, causes the transformation of the landscape to occur in the sense of losing its character, its culture and, consequently, its identity. The objective of this work is to identify invariants of this landscape, which can be considered in future proposals for planning and management plans for this area, in order to preserve the Gurué landscape and its identity. Through an analysis of the existing cartography and bibliography, the natural systems, their flows and processes and the cultural and heritage elements of this area were first identified and characterized. Based on this diagnostic phase, invariant el- ements (either natural or cultural) that determine the culture and identity of this landscape and must therefore be safeguarded and maintained, were identified. The guidelines appear later, in this sense - the preservation of fundamental values in the culture and identity of Namúli Mount and the landscape of Gurué, where it is inserted. Keywords: Namúli; Gurué; Landscape, Multifunctional; Identity
49 Natural Farmed Intelligence (NFI): Possibility against Advanced Artificial Intelligence, Md Sadique Shaikh
Today’s near future and far future all technologies centrally based on “ARTIFICIAL INTELLIGENCE” (Man Made) and becoming more and more precise and accurate everyday as compare to human “NATURAL INTELLIGENCE” (God Made) though human invented, engineered and implement A.I as its pioneer. In every field A.I (Man Made) beat to N.I (God Made) as we realized and surrounded with minor to minor and major to major A.I based Computing, Communication, Mobiles, Internet, Internet of Everything with smart A.I Processed and controlled devices having RFIDs in Ubiquitous communication network, space science, medical robotics, industrial robotics, electronic automation, smart appliances and Humanoid robotics. One day might be condition would be A.I programme itself according its need of execution and ruled on N.I that means on Human Civilization also called “Robotics Violence”. More and more min- iaturized A.I chip perform thousand times greater operations/tasks/processes from it’s previous due to the Nanotechnology and ad- vanced Electronics. Hence A.I is good but equally bad for mankind and even till date we are on just trial basis to implement human-like “Robotics Emotions” in A.I, Bionic Brain and Humanoid. Therefore today I am diverting my readers from A.I to towards “Synthetic Biology”, “Human Biology” and “Neuroscience”. We much familiar with Biology and Neuroscience but let me explain in brief about syn- thetic biology or SynBio is “a multidisciplinary domains of research integrated/cascade with atoms/cells manipulation to form/farm/ fabricate new biological devices, systems and parts or to reengineer and make more effective systems, parts those are already available in nature using biotechnology, genetic engineering, molecular biology, system biology, biophysics, membrane science, molecular en- gineering, chemical, biological, mechanical, computer and nanotechnology engineering’s”. Now what is my intention to discuss above here as likewise using material physics and electronics we mimic and engineer A.I from N.I with the help of neuroscience equally true and possible using Biology, Synthetic Biology and Neuroscience we mimic and engineer N.I itself to form External N.I that is similar like our human brain with N.I inside our skull can we able to farm same biological brain outside the human body using “Brain Cells” and the answer is Big “Yes”. Even researchers in “Petri Dish” also known as Petri Plate/Cell-culture Dish widely used in all walks of biological experiments to store, manipulate, engineer and performance check of cells , hence Brain cells manipulated and engineered in Petri Dish to form Human Brain like Natural Intelligence (N.I). This farmed neural schema in Petri Dish is N.I which is the great contribution to mankind and reported this little brain cells in Petri dish programmed and learn to them few games and results astonish its play the game 10 times faster than Artificial Intelligence. Hence today humankind just engineered and stored single “Neural Schema” network of brain cells and learn them to play chess which beat to A.I as one small unit in Petri Dish will be tomorrow hopes to farm complete human brain (N.I) outside using synthetic biology and I named the technology “Natural Farmed Intelligence (NFI)”. The amazing fact about NFI is its exactly same like human brain but several time faster and accurate to it in comparison, because it in unprogram from families, relation, responsibilities, stressors as affect on Human Brain Inside and work ultra high speed. Another good thing since NFI mimic and engineer from Brain and made up of “Brain Cells” as Building Block hence to implement exact same human brain-like emo- tions in it very easily which work in favor of mankind and against of “Robotics or A.I Violence” in future.
50 Possibility of “Bumanoid (Biologically-humanoid)” After Success in Natural Farmed Intelligence (NFI), Md Sadique Shaikh
This my second research letter in continuation of first one based on NFI. And here further I am expanding it with Application “Bu- manoid”. Let me first recall you again “Natural Farmed Intelligence (NFI)” than after approach how to Bumanoid possible using NFI. As using material physics and electronics we mimic and engineer A.I from N.I with the help of neuroscience equally true and possible using Biology, Synthetic Biology and Neuroscience we mimic and engineer N.I itself to form External N.I that is similar like our human brain with N.I inside our skull can we able to farm same biological brain outside the human body using “Brain Cells” and the answer is Big “Yes”. Even researchers in “Petri Dish” also known as Petri Plate/Cell-culture Dish widely used in all walks of biological exper- iments to store, manipulate, engineer and performance check of cells, hence Brain cells manipulated and engineered in Petri Dish to form Human Brain like Natural Intelligence (N.I). This farmed neural schema in Petri Dish is N.I which is the great contribution to mankind and reported this little brain cells in Petri dish programmed and learn to them few games and results astonish its play the game 10 times faster than Artificial Intelligence.
51 Hacking Human: Hacking the Weakest link in the Security Chain, Eman Ali Metwally and Haytham Tarek Mohammed
“Social engineering (SE) is the art of operating people into performing actions or divulging confidential information”. It is unique of the best creative and active means of achievement access to secure systems and gaining sensitive information up till now wants negligible technical knowledge. SE does not certainly need a big amount of official information in instruction to be successful. SE depends on person’s psychology such as interest, courteousness, unwariness, greed, inattentiveness, wariness, and indifference. This paper shows the state of the art attacking methods especially SE and its countermeasures that will help the user be more secure and aware of these attacks
52 One International Platform Two Engineering Papers, Sun Jiajun
The scientific paper of Sun Jiajun, engineer of Changqing Oilfield, appeared on Medicon. There is an engineer in Changqing Oilfield, his name is Sun Jiajun. In February of this year, his paper titled “Applying Human-Ma- chine-Environment System Engineering to Create a New World in Changqing Oilfield” was published by the Medicom Engineering Journal. This paper uses the perspective of a witness and applies the famous scientist Qian Xuesen. A theory founded by leading my country’s aerospace science and technology personnel - Human-Machine-Environmental System Engineering, provides a theory, data and a high degree of explanation for the fact that Changqing Oilfield has achieved leapfrog growth in oil and gas production over the past ten years; In March of this year, his other paper titled “Universality, Major Harm and Deep Causes of Irrational Engineering Duration” was published again by the Medicon Engineering Journal. A comprehensive commentary with a theoretical framework is given on historical achievements, huge progress and realistic gaps; for the irrational engineering construction period problem of the infrastructure maniac, its historical reasons are analyzed, its universality is pointed out, and the causes of the problem are analyzed. The hazard is quantitatively analyzed, and the underlying reasons for the existence of the problem and the path selection to promote its improvement are pointed out at the same time
53 Knee Abnormality Prediction based on Power Spectrum Analysis of Surface EMG Signals, Sali Issa, Mahmoud A.M. AlShurafa and Abdel Rohman Khaled
This article proposes an improved extraction feature for lower limb knee abnormality prediction application using surface EMG raw data. Public UCI dataset is chosen for system evaluation, where each subject was informed to perform three different motions of walking, standing up, and sitting down. In feature extraction, EMG spectrograms are derived using Short Time Fourier Transform (STFT), power spectrum of range 10-250 Hz is chosen, then, the linear coefficients of EMG power spectrum for each frequency bin during time are extracted as a final feature of size 30x2. For system prediction, Convolutional Neural Network (CNN) with other two common machine learning classifiers were constructed. The proposed system experiments proves that EMG signals of Semitendinosus(ST) muscle with CNN classifier produces the highest accuracy of 95%. Keywords: Knee Abnormality; EMG Signal; CNN Classifier; Prediction System; UCI Database
54 Intelligent Load Shedding Strategy based on Fuzzy Logic Control (ILSF), Mahmoud A.M. AlShurafa and Sali Issa
Microgrid (MG) is a new form of electrical power grid, combined from different Distribution Sources, MGcan work as a power source or power load in two different operation mode: grid-connected mode and stand-alone mode, one of the main challenges which can be faced in the stand-alone mode is achieving the power balance between the produced power by MG sources and consumed power by MG loads, Load Shedding (LS) is a strategy which can be used for accomplish that balance. This paper em- phasis an Intelligent Load Shedding based Fuzzy Logic Control (ILSF), Due to the benefits of Fuzzy Logic Control (FLC), it’s used for controlling the shedding process of different MG loads according to the Solar Power Forecasting Data. The proposed control system procedures are illustrated and simulated, the results demonstrate the robustness and flexibility of ILSF system. Keywords: Load management; Load shedding, Microgrid, Power system control; renewable energy
55 An overview on 5G mobile network antennas: Trends and Challenges, Moutaouakil Abdelhakim
To deploy the 5G mobile network, operators must install tens of thousands of new antennas. They are one of the major technological developments of 5G. For 5G, as for all other generations of mobile networks, antennas are an essential support. They are the ones that relay and transmit the signal. Without antennas, there are no waves, and therefore no 5G network. In order for the new 5G mobile net- work to work, operators must deploy tens of thousands of new antennas. Indeed, 5G antennas are totally different from 4G antennas. And, they contain some of the major technological innovations of 5G, which give the new mobile network its uniqueness. They are called Massive Mimo, beamforming, Small cells [1].
56 Basic Evaluation for Dynamic Behavior of Waterdrop on Line-patterned Silicone Surface using Equation of Motion, Kenji Yanagisawa and Chinatsu Saito
Inspired by the water-repellent and self-cleaning properties of the lotus leaf in the natural world, artificial superhydrophobic surfaces have generated extensive attention in academia and industry. Hydrophobicity and the sliding behavior of waterdrops is a very important phenomenon in our daily life as well as in many industrial processes. However, the difference between these two phenomena is not well understood. This study was performed to predict movement of waterdrop on surfaces of silicone sheet and was focused on interface resistive forces between waterdrop and surfaces. Various hydrophobic sheets having dif- ferent the waterdrop contact ratio (the ratio of the contact area between the waterdrop and the sheet) were prepared. And the relationships between the sliding angles, the sliding velocities and the surface structure were investigated. Equation of motion is used to calculate the interface resistive forces from the sliding angle and the sliding velocities. As the result of calculation, interface resistive forces between waterdrop and the surfaces are equivalent to force of the gravity. The interface resistive forces decrease with decreasing the waterdrop contact ratio. Sliding velocities seems to affect interface resistive forces. This research clarifies that sliding velocity and interface resistive forces are related to positive correlation by the waterdrop contact ratio. The relationship may help prediction of movement of drops on surfaces. Keywords: Hydrophobicity; Surface topography; Interface resistive force; Sliding behavior of waterdrop; Sliding velocity; Equa- tion of Motion
57 Power Quality Improvement Using Modified ANFIS in Hybrid Miniature Solar Power Generation Units through Reduction of Total Harmonic Distortion, J Samuel Manoharan
Research in solar ponds have been on an increasing trend in recent times as an alternative for fast depleting non-renewable source of energy. Solar ponds are artificial saline water holding structures which are capable of retaining heat in the saline mol- ecules. A suitable thermo electric generator is capable of extracting power from these ponds. A miniature solar pond has been taken up for experimentation and output power quality improvement has been achieved by reducing the total harmonic distor- tion using an adaptive neuro fuzzy inference system. Experimental results justify power quality improvement using the proposed learning based approach. Keywords: Solar Pond; thermo electric generator; Total harmonic distortion; Power quality improvement
58 Gamified Interaction’s Impact on Consumers’ Purchasing Decisions: A Health and Fitness apps Perspective, Abhishek Yadav
The ultimate goal of any brand is to get positive responses from customers both emotionally and behaviorally for its market- ing activities. This study examined how gamified interactions on health and fitness applications impacted consumers’ purchase intentions and assessed the role of positive emotions and brand engagement in developing this relationship. Data were collected from users of health and fitness apps through a self-administered questionnaire and analyzed using the partial least square structural equation modelling technique. The findings suggest a strong indirect relationship between gamification and purchase intention. The study also found positive emotions and brand engagement to be significant sequential mediators of the gamifica- tion-purchase intention relationship. Keywords: Health and fitness application; gamification; purchase intention; positive emotion; brand engagement
59 A Complete Assessment of Tribo-corrosive Behaviour of CI Engine Using Emulsified Dual Fuel Bio-Diesel Blend, Sajan Chourasia, NimeshGajjar, Harshal Oza and Nirav Joshi
Biodiesel is relatively higher corrosive compare to Diesel. Biodiesel is self-oxidation in nature. The current investigations are to determine the tribological and corrosive behavior of biodiesel and their dual biodiesel emulsified fuel blend on CI engine vital parts (i.e., Piston, Valves, Cylinder liner, Cylinder head, Fuel pump, Bearings). The emulsified fuel was made from dual biodiesel (i.e., Neem and Palm) with Diesel and water. The tribological and corrosive effects were performed on metal surfaces of Copper, Aluminum, and Iron. These metals were selected based on the base composition of engine vita parts. A static immersion test was conducted for corrosion for 150 days at room temperature and for tribology, a pin-on-disc apparatus test was performed. These test also includes scanning electron microscopic, weight, dimension and physical visualization analysis of corroded and worn- out metal surfaces. To identify the cause of the corrosion, wear on the metal surface, the Gas chromatography-mass spectrometry test has been conducted. This test will also help to determine the chemical composition of the test fuels. It has been observed that biodiesels have good anti-wear properties in comparison to Diesel and emulsified fuel. On the other hand, Diesel and emulsified fuel show good corrosive properties compare to biodiesels. Keywords: CI Engine; Dual Bio diesel; Emulsification; GC-MS, SEM Analysis; Wear Analysis; Friction Analysis; Corrosion Analysis
60 The “Ivermectin” to South Africa’s Educational Landscape, Pariksha Singh, Ciska Snyman and Jayshree Harangee
Globalisation is making the threats we face more intertwined. In addition to the COVID-19 outbreak crossing international borders, South Africa is experiencing devastating floods. Despite its diversity, it has affected everyone, regardless of nationality, education level, income level, and gender. Despite this, the repercussions have disproportionately impacted the most disadvantaged. Education is no different. With the help of parents coupled with the desire to learn, students from wealthy homes may be able to make their way past restricted higher education institutes to other learning prospects. When institutions shifted fully online, those from low-income fam- ilies were disadvantaged. These disasters have brought several shortcomings and inequities in our educational institutions, ranging from a scarcity of access to the internet, connectivity issues, and computers required for online learning to the absence of supportive surroundings needed to engage with learning to a mismatch of resources and necessities.
61 Brain Computer Interface (BCI) Technology, Sali Issa
Brain Computer Interface (BCI) is a direct interface or communication path between human brain and computers. In BCI technology, it is possible for machines to interact immediately with the cognitive state of human brain, measure its activity signals using electrical electrodes in most cases, and interpret these signals for controlling external devices [1].
62 Assessment of Groundwater in Al-Lith Region, Sami Goren, Khalid Albijali, Rayan Alghamdi, Abdul Gaffar Alomari and Meshal Alzahrani
There are many random wells in the city of Al-Lith, especially in the east of the city of Al-Lith in (the study area). There are no desalination companies in the area, and there are no data showing that the wells are potable & non-potable, and there is no information about the groundwater level in the area. In the beginning, the locations of the targeted wells were determined to conduct the study on, and then the samples were collected from the 20 identified sites in the east of the city of Al-Lith, from 20 wells, and the depth of each well was also determined. According to the results, the aim is to give idea for the water wells whether potable or non-potable. Keywords: groundwater, water well, water quality, pollution, potable water
63 Grameen Bank & Islami Bank Bangladesh Limited - Two Paths of Social Business and Their Unique Financial Journey, Hafizur Rahman and Khwaja Aziz
According to a research the number of social businesses is estimated to exceed 20000 globally. “34% are in operation for be- tween 2-5 years and constitute 2-3% of GDP-2010” [2-4]. In fact, modern social business is a recent phenomenon increasingly receiving worldwide attention especially when income inequality is expanding exponentially parallel to the growth of dollar mil- lionaires both in the developing and developed societies. This paper demonstrates how social business can vary in form, distinct both in principles and practices but unique in substance. In other words, how they operate to impact economic life of men and women especially in poverty reduction and economic growth of a nation such as Bangladesh. Keywords: Shariah based; Model; Income; Hypothesis; Investments; Rural development; Empowerment; Poverty reduction
64 ML Enabled WhatsApp Chatbot using IBM Watson, Manasi Chhibber and Madhulika Bhadauria
A chatbot mimics human interaction through voice or text interactions. Chatbots are used by businesses to interact with con- sumers in addition to the traditional client care channels like via phones, mails or social media. The most basic type of chatbot system handles jobs by interpreting user input and then searching its directory for content related to particular words or phras- es. In a nutshell, it works as a keyword-based content retrieval system. Watson Studio provides a collaborative environment and resources to work on data in order to solve business challenges. Users may select tools for analyzing and displaying their data, cleaning and shaping it and using it for constructing and training machine learning models. Watson Assistant is a business-ori- ented AI chatbot. This enterprise AI technology can be used to create conversational AI applications. Since, loan application pro- cess can be extremely cumbersome, so we have developed a chatbot using IBM Watson that could help in easing this process. The chatbot has been integrated with WhatsApp using Twilio. By answering a series of standard questions related one’s application, one can see the risk percentage involved in taking the loan. This has been enabled using Machine Learning models. Keywords: chatbot; machine learning; IBM Watson; loan risk prediction
65 Diaper with Automated Drainage System for Dependent People, Cuevas Rene, Alonso Gustavo, Feliciano Angelino, Alarcón Antonio, Catalán Arnulfo and Aquino Yasmin
During the life cycle of people, some lose functional autonomy and a capability, which leads to dependency, with little or no mobility, due to physical or psychological factors, and not having sphincter control, some are exposed to frequent use of urine col- lectors such as diapers or bladder catheter for urination control, which cause inflammation and erosion of the skin by prolonged contact with urine. This work shows the implementation of a prototype diaper designed with reusable fabrics and an integrated device for automated drainage, combining Information and Communication Technology (ICT) tools and electronic components that together achieve a device capable of directing and / or route the urine collected from each urination, to a urine collection bag, its self-control allows minimizing the time of exposure to moisture and avoid over hydration of the skin, which causes severe skin lesions. The purpose of making this project known is for educational and motivational purposes for the areas of knowledge where technologies are applied for the benefit of society. Keywords: reusable cloth; collection bag; catch urine; sphincters
66 Solving V2X Blocking Algorithm, Li Yongdong
LTE-V2X is becoming the most technology for automatic pilot. But the interference affects the capacity of V2X when the traffic is busy. This article presents the soling V2X blocking algorithm to void the problem happening. It is time division method. Node B acts as a master to assign the slot and symbol to all of OBUs under the area. If out of range of LTE network, the OBUs votes one OBU as Node B to allocate the slot and symbol to them, all OBUs Synchronization with the OBU, then time division can work. Keywords: V2X; OBU; Node B; Time division; LTE; interference; blocking; PBCH; broadcast; synchronization; Mode 3. Mode 4
67 Human Intelligence and Machines, Tilottama Goswami
Current trends in engineering and technology have made a great impact in automation on a day-to-day basis in almost every field. The advantages of automation are manifold -reducing human interventions, increase in productivity, reducing human errors, and to enhance their capability to work; especially in hazardous and danger zone areas. Human labor-intensive tasks/repetitive tasks where human fatigue and error is a usual phenomenon are usually good candidates for automation. Can automation succeed in tasks which need human expertise and intelligence? Its limitations does not allow it to automate every task. Automation is a straightforward algorithm which takes input data and produces output according to the algorithm. When intelligence and cognitive capabilities have to be embedded in a machine to mimic the way human would execute the task, automation becomes conceptually closer to Artificial Intelligence (AI).
68 Predicting Global Average Land Temperatures Using Microsoft Azure Machine Learning Studio, Sagar Tewari, Sarthak Agarwal and Madhulika Bhatia
To accurately calculate the global average temperature has proven to be an arduous task since the 19th century, the major rea- sons are maintaining accurate records of the same locations over a lengthy period which has strained the meteorologists, espe- cially in places located remotely, like mountains or deserts. This is the reason meteorologists use global averages which generally span over 3 decades to give perspective and context to information. We decided to use the Linear Regression Model to achieve this task at hand. Linear regression is an algorithm which is used for determining the relationship between an dependent variable and some independent variables which are also known as sca- lar response explanatory variables respectively. The relationship between dependent and independent variables are calculated using predictor functions which are linear in nature whose parameters which are not known are found out through the means of the data provided. Hence, it is paramount that we give our model a clean and digestible data so that it learns well and predicts accurately. It’s equally important that we maintain the dimensions of the data and be careful that it is not too high or not too low, it should be just right. We also employed the Pearson’s Correlation method for Feature Selection. After which we also tuned the hyperparameters among other things to gain the most suitable parameters for the model. Finally, we compared our results from normal model generation to hyperparameter tuned model. Keywords: AZURE; Machine Learning; Linear Regression; Pearson’s Correlation Coefficient
69 Additive Manufacturing Technologies: A Pathway to Organ Printing, Prajwal Agrawal
With the advent of additive manufacturing, various processes have been developed over the years. A prominent example is bioprint- ing. The technology involves the use of biocompatible materials and living cells to construct functional structures and constructs that mimic the properties of human body tissues [1]. It is estimated that 20 people die every day due to a lack of organ transplantation in the United States alone [2]. With the development of new diseases and an increasing population, this number is expected to increase over time. It is possible for bioprinting to provide a solution for this issue, but it will need many modifications and development to result in a living organ with multiple cell types and materials [3].
70 Experimental Study of the Consolidation Characteristics of Saturated and Unsaturated Municipal Solid Waste (MSW) Using Large Scale Consolidometer, Gajrawala Tirth Nikhilbhai, Dr. M. V. Shah and Prof. Shalini. R. Singh
Municipal Solid Waste is a heterogeneous mixture of various materials such as food, glass, soil, ash, plastic, etc. Since there are no generally accepted sampling and testing procedures for waste materials, principles of soil mechanics. A good understanding of the properties of unsaturated Municipal solid waste is required for the design of the underground pipelines. Settlement pre- diction is an important issue to guarantee any post-closure structures on landfills. The present study is an attempt to determine the consolidation characteristics of saturated and unsaturated MSW from the Pirana landfill site, Ahmedabad (India) using a large size Consolidometer having an aspect ratio of 1:0.635. At present five tests were conducted on saturated municipal solid waste for 100% saturation and five on unsaturated MSW keeping a degree of saturation=50% at different water contents. The tests were carried out at the pressure of 20kpa, 40kpa, 80kpa, 160kpa, and 320kpa respectively. The consolidation settlement resulted in both types of waste being compared. It was concluded that the saturated MSW compacted on the dry side of the opti- mum has less settlement compared to the MSW compacted on the wet side of the optimum while the time taken for the unsatu- rated MSW was slightly higher as compared to that of the saturated MSW. Keywords: Municipal Solid Waste, Consolidation, Unsaturated, Compressibility
71 Evaluation of Green Total Factor Productivity in the Yellow River Basin of China, Jingcheng Li, Guangwei Rui and Xinyi Mei
The Yellow River Basin is an important energy production base, heavy industry base, and grain production area in China. Meanwhile, the ecological environment in this area is also very fragile. The success of carbon emission control in this region is re- lated to whether China can complete its vision of carbon peak and carbon neutralization on time. Taking carbon emissions as the non-ideal output of the economy into the nonparametric DEA Malmquist index model, this paper measures the green Malmquist index of 9 provinces in the Yellow River Basin from 2014 to 2020 and analyzes the impact of the green Malmquist index, green technology efficiency and green technology progress rate on the regional economic growth gap and its time evolution trend. The results show that the green total factor productivity of the region shows a fluctuating upward trend from 2014 to 2020, but the direction of efficiency progress is negative. Therefore, the Yellow River Basin needs to reform the management system of high energy-consuming industries and strengthen environmental supervision in the future. In addition, the changes in green total factor productivity in various provinces show high heterogeneity, which poses new challenges to the formulation of emission reduction policies. Keywords: The Yellow River Basin; Energy industry; Carbon control; Green total factor productivity
72 Ensure Automotive Cyber Security with Management, Wenbo Jia, Haijun Wang, Yingyi Yao, Jing Liu, Yanxin Wu, Xu Liu and Shubin Tao
With the automotive industry’s continuous development of electrification, connectivity, intelligentization, sharing, automotive cyber security issues are becoming increasingly serious. How to effectively guarantee the cyber security of automotive products has become one of the urgent problems to be solved in the whole automotive industry. According to current situation of the industry, this paper argues that strengthening the cyber security management is very important, and according to the domestic and foreign automotive cyber security related laws, regulations and standards’ requirements, proposes the construction route, evaluation and optimization focus of automotive cyber security management system based on the risk management of the whole automotive product life cycle, which provides reference for enterprises to ensure the cyber security of automotive products. Keywords: Intelligent Connected Vehicles; Cyber Security Management System; System Evaluation and Optimization
73 Social Issues/Challenges Faced By Engineers in India, Mainak Ghosal
India has the largest number of engineering graduates passing out every year when compared to the USA. But does our Engineering profession get recognized in the eyes of law? The answer is NO when compared to our Medical Professionals or Chartered Accountants or Architects. There is the Medical Council of India [1956] to regulate Doctors, the Institute of Chartered Accountants of India [1949] to regulate Chartered Accountants, and the Council of Architecture [1972] to regulate Architects, and all of these professional bodies are protected by statutes or by an act of parliament. In most countries, e.g., Australia, Japan, Canada, Malaysia, New Zealand, Pakistan, Sri Lanka, South Africa, Singapore, Tanzania, USA, UK, etc., professions such as Engineers are invariably governed by an act or law of the Government.
74 An Analysis Framework of Change Management, Linda Etareri
The organizational restructuring and institutionalization of Change Management is a fluid and elusive process that functions through a broad, holistic and yet a very conscious approach to implement, execute and create top-level excellent tasks, responsibili- ties, and duties with competency, organizational integrity, trust and professionalism in line as goals to achieve. As the top priority of company’s envisioned goals, visionary accomplishments and professionalism comes change management as the corrective tool and measures that can insure the improvement and advancement of organizational effectiveness. This seminar paper will aim at defining change management; it would create a discussion on the various views, and assertions of change management. The relevance of change management to the external and internal structures of organizations ensures, guarantees the heights and levels of develop- ment and advancement an organization can accomplish. In a competitive global market space were change is unavoidably constant, the understanding and studying of change management becomes the greatest means.
75 Corporate Social Responsibilities and its Principles, Corporate Behavior, Ethical Philosophies, and a Stakeholder Theory, Linda Etareri
Corporate Social Responsibility also known as corporate engagement with society is now a general expression in today’s pres- ent-day world and fundamentally it is fast-becoming a recognized methodological approach for organizations. Organizations illustrate, contribute and establish their incorporated customs through duties that reflect their common sense of share consciousness and ethics. The foundational elements of the Corporate Social Responsibilities of an organization reveals a clearer, deeper and acceptance of the organization’s operational culture of sustainability. The organization’s principles of transparency, its level of accountability all of these and more lays the structure that justifies an organization’s Corporate Behavior.
76 Fundamental Stages of Development through the Relevance of Team Building, Linda Etareri
There is a fast-growing precognition of team building that is sharpened by the technological capacity development of human resources in a technologically advancing world. As most organizations in the business world constantly evolve and strive to achieve competitive advantage in the market space, the relevance and role of team building becomes more fundamental and demanding. Teamwork elevates the trajectory and visionary inclination of organizations regardless of their sizes, successes and market dominance.
77 Control by Fuzzy Logic Associated with the Flow Oriented Command of the Dual Star Asynchronous Generator Integrated into a Wind Turbine, Zekraoui Said and Moualdia Abdelhafidh
This paper aims to study and simulate the control of a wind turbine based on a double star asynchronous generator (GASDS); to control the energy production of this conversion chain the mechanical power generated should be optimised. Ensuring max- imum power capture with the MPPT strategy (Maximum Power Point Tracking) for different wind speeds. For this purpose a control by fuzzy logic FLC associated with the orientation of the rotor flux FOC of the GASDS has been particularly described in order to improve system performance and better trajectory tracking in the case of the variant wind speed systems. Keywords: Wind Turbine; GASDS; Flow Oriented Command; MPPT; Fuzzy logic control; MATLAB
78 ReSmart-15: A Soft Information Gain Based Questionnaire for Early Dementia Detection, Hyeseong Park, Myung Won Raymond Jung, Ji-Hye Kim and Uran Oh
As the number of people affected by dementia increases, there is a need for diagnosing potential symptoms of early dementia, and questionnaires such as the mini-mental state examination (MMSE) are widely used for early dementia detection. To build a more effective questionnaire, we propose ReSmart-15, a dementia detection questionnaire that includes daily behavior-based questions in five categories (i.e., attention, spatial ability, spatiotemporal ability, memory, and thinking ability). To evaluate the effectiveness of each question in detecting early dementia, information gain can be used to rank their contributions. However, the current information gain-based method requires hard classification results such as whether the patient had been diagnosed with early dementia or not. In this paper, we propose a “soft information gain” based ranking system where each patient is diagnosed with an early dementia probability (from 0 to 1), not with a hard decision of early dementia (0 or 1). We conducted an experiment to test the effectiveness of ReSmart-15 compared to MMSE and found that the top 2 questions were from ReSmart-15, and 60 percent of the ReSmart-15 questions were in the top 10. Keywords: Early demantia; Questionnaire; Soft information gain
79 Engineering Geology: History, Practice, Modern Tasks, Viacheslav Yu Iegupov
Engineering geology (Ukrainian: Engineering Geology; German: Ingenieurgeologie; French: Geologie technique, geotechnique; Ital- ian: Geotecnica) is included in the complex of geological sciences. According to the “Mountain Encyclopedia”, this is a science about the structure, properties and dynamics of the geological environment, its rational use and protection during engineering and economic activities. The main tasks of engineering geology: study of the current state and patterns of formation of engineering and geological conditions, predicting their changes in the process of construction and economic activity; engineering and geological substantiation of protective measures ensuring the rational development of the territory, mineral resources and environmental protection.
80 A Naive Bayes Multi-class Weighted Classifier of Internet Packet flows over a MPLS Network, Roland Déguénonvo, Audace AV Dossou-Olory and Max Fréjus O Sanya
Our simulation is based first, on a qualitative approach for the classification of flows and traffic, and next on an experimental approach for the management of data volume on the other hand. The adopted approaches allowed us to get an idea on a NBWM (Naive Bayes Weighted Multi-class) classifier capable to output differentiated service classes in MPLS (Multiple Protocol Label Switching) networks. The classifiers we compared to our benchmark model were thoroughly processed. The accuracy rate of the proposed NBWM (Naïve Bayes Weighted Multiclass) classifier is about 68.75%, which puts it ahead of the other models encoun- tered. Keywords: Simulation; flow and traffic classification; NBMW classifier; MPLS networks; accuracy rate
81 Re-examining Design Games from the Perspective of Design Anthropology, Yan Wang
This paper discusses how design games play a role in design anthropology research and serve the operation method of image behavior. By defining the design game in design anthropology, we can solve the following two problems: firstly, pay attention to how to promote group cooperation and help design researchers understand the relationship between image, space and be- havior; secondly, this study helps researchers understand the vague role and cultural cognition of stakeholders in participatory design. In addition, this study designs a set of design game cards, through the extraction, collage, and reorganization of film im- ages, and further changes the observation perspective, once again expanding the game to the field of the art design and design anthropology. The ultimate goal of the research is to explore the research methods in the design process and the training of reconstruction logical thinking. In future work, the design education can use game cards as the carrier to reconstruct the cultural cognitive language. Keywords: Design Research Method; Image Behavior; Design Games; Cultural Cognition; Design Anthropology
82 Epistemiology of the South - “Navigating and Traversing the Proverbial Avalanche post PhD in the 21st Century - A Narrative Reflection”, Mfanelo Patrick Ntsobi
Knowledge can be transmitted, facilitated, developed, and produced in a variety of ways through education. As a matter of fact, universities in particular, are defined in terms of knowledge generation. We should not be surprised, then, that discussions about decolonizing (Western) education have expanded to encompass provincializing (Western) epistemology, given the close ties between education and educational institutions and epistemology. This presents a danger as epistemological pathways in- form thinking partners and behavioural dynamics of societies. Deconstructive debate that seeks to discuss educational decolo- niality from the Global South cannot articulate that with the exclusion of southern epistemological position towards reality with through the lens of its inhabitants. This is what confronts the post-doctoral scholar of the Global Centre for Academic Research and South Valley University, as independent entities within the Global South. This narrative reflection provides a baseline for a cogent discourse in favour of deconstruction of southern epistemological trajectory in education and social perspectives. Keywords: Doctoral education; Decoloniality; Social Discourse; Southern Epistemology
83 Students’ experiences in relation to the use of online learning and collaborative technologies during COVID-19 outbreak in South African Universities, Mfanelo Patrick Ntsobi, Paul Singh and Blondel Nyamkure
Student’s experiences on the use of online collaborative technology continues to attract attention of researchers in education and social sciences. Of particular interest is the reliance on technological and digital platforms, using web-based strategies during the outbreak of COVID-19 in institutions of learning. This study used an unlinked, anonymous survey to explicate experiences of students on the use of online technologies during the COVID-19 pandemic in South Africa. Consenting participants constituted a study population that was made up of first year accounting students in a public university in South Africa, drawing a sample of 190 from a population of 371. Using a theory of connectivism, the study found that students were eager and confident that collaborative technology could lead them to pass their examinations even if face-to-face intervention was missing. Collaborative technology consisting of tools such as WhatsApp, Blackboard and Zoom made it easy for them to relate with instructors and fac- ulty who were making efforts to deliver content in a simplified manner. The study further concluded that efforts have to be made to study the benefits of collaborative technology both to learners and faculty at institutions of higher learning. Keywords: Blended-learning; E-learning; Online learning; Technology; Universities
84 Drones / Unmanned Aerial Vehicles, R Hema
Unmanned aerial vehicles (UAVs), sometimes known as drones, have the highest potential for usage in a variety of applications in the near future. As drone technology advances, these devices will also get more affordable, sophisticated, and useful. An aircraft without a human pilot, flight crew, or passengers is called an Unmanned Aerial Vehicle (UAV), also referred to as a drone. UAVs were initially cre- ated in the 20th century for use in military operations. As control technologies became more affordable and effective, their employment in several non-military applications increased. Devices like transmitters, receivers, and sensors make it possible to control things. It is capable of carrying a lot of weight and flying at vast altitudes. A drone can be used for a variety of tasks, including aerial photography, surveillance, spraying water and pesticides on crops, inspecting fields for water connection leaks, and more.
85 Post Digitization Challenges and Solutions for India Palm Leaf Manuscripts, Nagendra Panini Challa
India is a country with a very deep and significant history and a grand heritage. Its culture and traditions are very unique, varied and celebrated the world over. Each and every district in the country has its own set of heritage structures, traditions and cultural practices. One of the important facets of our heritage is the palm-leaf manuscripts. Our country is home to more than five million palm- leaf manuscripts – the largest collection in the world. The manuscripts cover a variety of subjects - from music, to yoga, languages, art, architecture etc. Their fragile nature makes palm-leaf manuscripts susceptible to damage. It is the duty of our society to safeguard its culture and heritage and pass it on to the next generation. Information and Communication Technologies (ICT) provides us with an array of solutions for data collection, processing and presentation. The use of ICT in the preservation and dissemination of our Culture and Heritage is an area with high potential, and is to be explored in depth, in a domain-specific manner.
86 Piezoelectric Energy Harvester for IOT Application, Ashutosh Anand
It is now possible to minimise the size and power requirements of electronics devices in the fields of wireless sensors and implant- able medical devices (IMDs) thanks to the significant improvement in microelectronic VLSI technology. These IMDs, such as cardio- verter defibrillators, cardiac pacemakers, artificial retinas, brain, and bone stimulators, sensors, and cochlear implants, among others, can be placed in human bodies for diagnostic and therapeutic purposes. The various implantable devices can be used as diagnostic tools to track blood pressure, heart rate, and temperature for a variety of medical conditions, and they can also help with the manage- ment of diseases like diabetes (e.g., stimulation of brain and muscles). The pacemaker helps treat irregular heartbeats brought on by sick sinus syndrome or a blocked heart.
87 Modeling and Simulation - An Approach for Redefining the System, Ritesh Ramesh Palkar and Surabhi Rushabhakumar Gosavi
The basic needs for the human being to survive are food, clothes and shelter. In addition to these the regime has been broadening as per the demand. There are many desired products which are being manufactured using different processes. One of the essential processing unit is environment itself, where many processes are observed simultaneously. The earth is filled with lots of wonderful resources which are mostly used to support the human ecosystem. However with increase in the global population, the available re- sources seems to be limited.
88 Modeling and Simulation - An Approach for Redefining the System, Ritesh Ramesh Palkar and Surabhi Rushabhakumar Gosavi
The basic needs for the human being to survive are food, clothes and shelter. In addition to these the regime has been broadening as per the demand. There are many desired products which are being manufactured using different processes. One of the essential processing unit is environment itself, where many processes are observed simultaneously. The earth is filled with lots of wonderful resources which are mostly used to support the human ecosystem. However with increase in the global population, the available re- sources seems to be limited.
89 Promote the Development of New Energy Vehicles and Carbon Neutrality in Beijing, Xinyi Mei, Yuexue Miao, XiaojunJia and Xiguang Zhang
For the further implementation of Jinping Xi’s speech spirit, on the Fifth Plenary Session of the 19th CPC Central Committee. China will accurately grasp the characteristics of the Times in the new stage of development while facing “The overall strategy of the great rejuvenation of the Chinese nation and the great changes unseen in the world in a century”. China will unswervingly implement the new development concept of “innovation, coordination, green, open and sharing”. China will also speed up the construction of domestic and international dual cycle to promote the new development pattern of each other. In particular, we investigated and implemented the target goals and tasks of carbon peak and carbon neutrality set out in the 14th Five-Year Plan. According to the survey, with a population of 1.4 billion and a middle class of 560 million, in 2020,China had 280 million cars and 4.92 million new energy vehicles. In 2021, China had 302 million cars and 7.84 million new energy vehicles. China’s oil industry is 65 percent dependent on foreign investment, and gas-powered vehicles account for one-third of its oil con- sumption. Among them, Beijing has a permanent population of 21.886 million. In 2021, there were 6.143 million civil vehicles, an increase of 140,000, and 507,000 new energy vehicles, an increase of 107,000. According to the 2021 China Urban Transport Report, Beijing’s rush-hour commuter congestion index was 2.04. Beijing’s urban traffic congestion has been normalized. The environmental protection pressure of energy conservation and emission reduction is rather huge for Beijing. Energy consumption, pollution, traffic efficiency, travel safety and other problems are forcing the whole auto industry of Beijing to upgrade. Aiming at these problems, this paper puts forward four suggestions. Keywords: Electric vehicles; Industrial chain; Supply chain security; Carbon neutrality
90 Hysteresis Loop Measurement for Steel Sheet under PWM Excitation Condition, Xinyang Gao, Nana Duan and Shuhong Wang
This article adopts a method of measuring the hysteresis loop of oriented silicon steel sheet under the excitation of pulse width modulation (PWM) signal. A measurement platform was built on the basis of the traditional Epstein frame method. According to international standards, the length of the equivalent magnetic circuit of the Epstein frame was calculated, and the harmonic control method was used to achieve the measurement of the hysteresis loop of the oriented silicon steel sheet under PWM ex- citation. Starting from the traditional sinusoidal excitation, this paper measures the variation of the hysteresis loop of the sili- con steel sheet under different frequency excitation. On this basis, the waveform control and PWM signal output programming were carried out through the host computer, and the influence of high-order harmonics of different frequencies on the magnetic properties of the oriented silicon steel sheet under PWM excitation was compared. Provide theoretical basis for the design and research of transformer laminated core. Keywords: Pulse Width Modulation; High-order Harmonics; Hysteresis Loop
91 Pore Structure and Acoustic Characteristics of Shaximiao Formation in Sichuan Basin Citation: Zhao, Zhao Dan, Zhang Qingxiu, Guo Jingshu, Li Gang and Zeng Shuti
With the deepening of exploration and development, the natural gas development in Sichuan Basin has entered the stage of tight gas exploitation. There are significant differences between tight gas and conventional natural gas resources, which are embodied in more complex pore structure and lithology. These differences make it difficult to predict the “dessert” development area of tight rocks. Therefore, it is necessary to study the pore structure characteristics, petrophysical characteristics and forma- tion fluid of tight sandstones. In this paper, through CT scanning and thin section identification, the characteristics of rock micro pore structure in Qiulin area are found, and the petrophysical characteristics of tight rock reservoirs are found through P-S wave experiments. The research shows that the pores of Shaximiao Formation in Qiulin area are large, with pore diameter distribution of 0.05~0.5mm and the pores are relatively developed, with an average porosity of more than 10%. The study of rock physical properties shows that dense rock Poisson is higher than conventional carbonate rock and shale, and has the characteristics of low acoustic wave velocity and low Young’s modulus. Keywords: Tight sandstone; geological exploration; pore structure; acoustic characteristics; P-S wave experiment
92 Historic Moments Speak of History - Sort out the Historical Status and Great Significance of the Founding Merits of Qingsanjing in Changqing Oilfield, Sun Jiajun
Why did this voice come so late for the sound of Kei Mitsui?’ There are some objective reasons for this. On the one hand, the 1858 drilling team that undertook the drilling of the Qingsan well and most of its parties were almost 40 years old from the Changqing Oilfield by the reorganization Years, so the people who know the glorious history of Keimitsui are only a very small minority within the scope of the Changqing Oilfield; On the other hand, the important person who came to Qingsanjing to witness the great achievements of Qingsanjing belonged to the old Red Army veteran revolutionary Wang Xing, who left the oil system after serving as the director of the Military Control Commission of the Ministry of Petroleum for a short time, although this per- son was a great hero with legendary experience and major contributions, when he was no longer in an important position in the petroleum system, who cared about the fact that he had made a trip from Beijing to the small place of Zhaogoumen in Huachi County, Gansu Province, for an oil well! Of course, Lao Geming quietly came and left quietly, unwilling to add a simple style of reception affairs to the local government, so that his trip to Huachi failed to leave a historical record in the local area, which was also a reason why Qingsanjing’s meritorious name did not jump up at that time. Then, in 1989, the publication of the Changqing Oilfield Chronicle, The Well was mistakenly identified as a well of discovery, and the superposition effect of the historical phe- nomenon made the name of The Famous Well covered in layer after layer of smoke and dust. Without the eternal perseverance of sitting on the bench for ten years cold and not writing half a sentence in an article, it is very difficult to sort out a relatively clear and clear context for the historical status and significance of the merits of The Founding Father of Kei Mitsui. Penetrating the time and space distance of half a century, it is a major issue to sort out the historical status and significance of Kei Mitsui’s meritorious service. It is necessary to comb through the memories of the parties concerned, to sort them out in reliable historical documents, and to comb through the small place of Zhaogou Gate in Huachi County, the birthplace of Qingsanjing. Who would have thought that this sorting process would take a full twelve years of precious time. What can be comforted is that this mission has finally been completed now. Keywords: history of new Chinese petroleum entrepreneurship; History of oil exploration in Ordos; Entrepreneurial history of Changqing Oilfield; Merits of the Founding Fathers; Keimai
93 A Collection of Revolutionary Technologies for Low Permeability Cocoon Breaking in Changqing Oilfield, Sun Jiajun
What we want to summarize here is a low permeability oil and gas field. After 50years of polishing, those revolutionary tech- nologies branded with low permeability marks. In terms of its contribution, it is such a technical sequence from one row to six: first, oil and gas exploration technology that infinitely approximates the migration and accumulation law of Ordos hydrocarbon sources; The second is the brand-name, customized and service-oriented drilling fluid completion hydraulic fracturing technolo- gy; Third, natural fractures are not developed, and artificially created fracturing technology for low permeability oil and gas res- ervoirs; Fourth, the advanced water injection and pressure boosting development technology of ultra-low permeability oil fields, which is deficient in nature and then compensated by nature; Fifth, the large-scale cluster well technology that low-permeability oil and gas fields must be developed at low cost; The sixth is the horizontal well technology that allows the longest possible well section to lie flat in the oil and gas reservoir. It is these technologies that have exerted their effects on the low-permeability oil and gas reservoirs, resulting in many changes in the low-permeability oil and gas reservoirs in line with people’s wishes. It is these gratifying changes that converge into a continuous flow of oil and gas in Changqing Oilfield. Keywords: Low permeability features; Revolutionary technology; Fifty years; Changqing Oilfield
94 Experimental Study on Moisture Loss Mechanism in Apples Tissue, Georges El Achkar Bin Liu and Rachid Bennacer
In this paper, the moisture loss mechanism in biological tissue of apples was experimentally investigated in order to under- stand this mechanism and hence to extend their shelf life. An image conversion procedure, based on the use of image processing and AlgoLab Photo Vector softwares, was developed in order to characterise physically the internal porous structure of apples from the core to the skin. Several geometrical and physical parameters of the restructured porous media (porosity, fractal dimen- sion, tortuosity, capillary pressure, permeability) were determined, and a comparison between their trends was carried out and analysed. Besides, a moisture loss model was established and discussed. Keywords: bioproduct; apple; biological tissue; porous media; dehydration; experimentation
95 Numerical Study on Thermohydraulic Characteristics of Reciprocating Room Temperature Active Magnetic Regenerator, Georges El Achkar, B Liu and R Bennacer
In this paper, a thermohydraulic characterisation of a reciprocating room temperature active magnetic regenerator, with gadolinium particles used as a magnetocaloric material and water used as a heat transfer fluid, was numerically carried out. A two-dimensional transient flow model was developed using COMSOL Multiphysics software in order to determine the water flow distribution in two active magnetic regenerators of cross and parallel gadolinium particles distributions for different water inlet velocities of 0.06, 0.08, 0.1 and 0.12 m.s−1. The gadolinium particles have a radius of 1.5 mm and a distance from one another of 0.9 mm. Based on the simulations results of this model, a second two-dimensional transient coupled flow and heat transfer model was then developed using the same software in order to characterise the convective heat transfer in the active magnetic regenerator of cross gadolinium particles distribution for the same water inlet velocities. Keywords: Magnetic refrigeration; active magnetic regenerator; magnetocaloric material; gadolinium; magnetocaloric effect; flow distribution; heat transfer; modelling
96 The World is Changing Fast: Can AI Help Meet the Challenges?, Ivanna Dronyuk
About a quarter of a century ago, humanity crossed the millennium mark. Everyone was looking forward to drastic changes. And these changes did not take long; they are already walking across our planet. However, it turned out that it is not all that simple. First, the changes are related to technology. The scientific discoveries of the previous century served as a theoretical basis for tech- nological advances. A list of the most recent modern discoveries that provide a technological breakthrough for today: space explora- tion, the creation of computer machines, and the development of global networks. This is far from a complete list [1].
97 Identity Access Management in Metaverse, Manasi Chhibber, Sarthak Agarwal and Amit Dubey
Metaverse is a virtual apace where people can enter and interact with other users in a computer-generated surroundings. It is an integrated system of 3-dimensional virtual worlds. These are preferably accessed via a VR headset. Users’ eye movements, their voice commands and feedback controllers are mainly used to navigate around the metaverse. In this way they are able to fully immerse themselves in the virtual world and simulate their presence. With the advent of this new technology, challenges are bound to occur. Most importantly challenges related to security of users need to be dealt with. Every person entering and interacting in the metaverse must be a verified user so that identity frauds do not happen, hence keeping the users safe from malicious attacks. To deal with this issue, we have come up with two features, first, an avatar facial tracking based and second, a chat based. By using NLP and Deep Learning, we were able to 73.77% uniquely identity a person in a WhatsApp chat group with other people. For the facial recognition-based security feature, we have just laid out our theoretical approach. In future, we’re planning to make use of other features as well such as speech pattern recognition, body positioning retrieval, retinal movement tracking, etc. for allowing only authorized users to enter and interact in the metaverse. Keywords: metaverse; avatar security; Natural Language Processing; Deep Learning
98 A High Efficiency Class AB AlGaN/GaN HEMT Power Amplifier for High Frequency Applications, Madhukar Saini
GaN HEMT is chosen for many high frequency applications such as Power Amplifiers because of its desirable properties. Most semiconductors fail at high frequency applications because of their thermal and bias limitations. It’s very difficult to operate the amplifier at high frequency and high power ratings. The HEMT transistors can operate at high electric fields and high frequencies. The heterojunction structure provides more no of free electrons without any doping which significantly improves the mobility and the current. The heterostructure also blocks the current flow in unwanted directions. This paper explains about GaN HEMT transistor and its practical application as a Power Amplifier. CREE CGH40010F GaN (10 W) device is chosen and developed at the schematic level. The schematic provides 15.5 dB gain and 66% efficiency. Keywords: GaN HEMT; Hetero-junction; Power Amplifier
99 Performance Enhancement of a Water Cooled BIPV System, Monia Chaabane, Salma Benzarti, Hatem Mhiri and Philippe Bournot
Building-integrated photovoltaic systems (BIPV) currently represent a fundamental concept for the realization of sustainable buildings. However, these systems like any photovoltaic device are endowed with a limited efficiency due to the negative effect of the rise in the temperature of the cells. To limit this inconvenience, a cooling system must be applied. In this study, a suitable geometry was considered based on the temperature distribution in the base system. Indeed, a particular cooling system with a contact surface and a volume of water which increase as the temperature of the photovoltaic cells increases is considered. In addition, the external heat exchange surface of the proposed system is varied, linear and cylindrical based surfaces are studied. Numerical simulations were performed using the CFD package, Ansys. The main attention was focused on the overall system’s temperature and electrical efficiency improvement. Moreover, the gain generated in thermal energy is evaluated. The results revealed that the proposed system allows an important reduction of the PV cell temperature. While the non-cooled BIPV system temperature variation was in the range of 312.5 K - 348.5 K for a solar radiation ranging from 200 W/m 2 to 1000 W/m 2 , this variation is reduced to small values for the water cooled system, respectively from 301 K to 310.5 K. This reduction in the tem- perature of the PV cells has directly resulted in an improvement in the photovoltaic efficiency of the system where a minimum average value of 15% has been noted, while the values noted for the uncooled system vary between 12.3% and 14.8% in depend- ing on the incident radiation. Concerning the effect of the external heat exchange surface, the effect was not remarkable on the electrical performance of the system, however, the linear surface-based system proved to be more efficient in terms of thermal production than the cylindrical one. Finally, the effect of the flow rate is also discussed and the results show that for a relatively high value like 0.22 kg/s, a good reduction in the temperature of the PV cells can be achieved while ensuring a significant thermal production. Keywords: BIPV; adapted geometry; Computational Fluid Dynamics (CFD); performance improvement
100 New Normal for Financial Management post Covid-19: Analytical Review with reference to Banking sector in India, Abhijit Kelkar and Mohammed Hassan
After the COVID-19 shutdown, there emerged a “new normal” characterised by a combination of in-person and virtual contact. In a case-control study, a few researchers examined how the “new normal” affected people’s sleeping and eating habits compared to before the epidemic. In one research, secondary data may be the most crucial information in another. This occurs when data is utilised more than once, serving as primary data for the first study and secondary data for the second. One thing is constant in a world that changes rapidly: financial professionals must continually endeavour to enhance their abilities to maintain their jobs and advance their careers. When the country was placed under lockdown in March 2020 due to the coronavirus, credit growth halted in nearly every industry. The growth in stressed assets induced by the pandemic is projected to triple the cost of loans from the banking sector in FY21 compared to pre-COVID-19 levels. To address the high number of defaults, banks will need to repair or enhance their internal systems and modify their internal risk and early warning systems based on lessons acquired during the financial crisis. If banks want to ensure the success of their commercial and operational strategies in the future, they must act swiftly. A list of suggestions that might assist banks in preparing for the new normal.
101 Technique to convert Industrial Waste into Worth by using it in Road Construction, Abhishek Kanoungo
India has one of the largest road networks in the world comprising about 5.5 million kilometers as of April 2018 (MoRTH, 2018). During the previous few years, there has been an enormous growth in the development of the road network due to which connectivity between cities, towns, and villages in the country has improved. Indian road infrastructure is undergoing phenomenal growth and will continue to grow at higher rates in coming years too. In most cases, flexible pavements are being constructed at a rapid pace due to the advantages they provide over rigid pavements. The flexible pavements can be strengthened with the increasing amount of traffic at a later stage and are less expensive in regards to initial cost and maintenance. With the increase in traffic volume and climatic variations, the damage is being caused to the roads. It has been observed that the roads start developing cracks after the initial few years which further progress into a pothole and later a distressed patch is formed. Another factor is the poor-quality control during construction which renders the road unserviceable before its design life. Therefore, we must come up with a different approach to the improvement of pavements.
102 One Apple Today Rather Than Two Apples Tomorrow: How Can Behavioural Economics Explain Overeducation in Labour Markets?, Halah Essam Alattas
Overeducation is a frequently discussed term in the neoclassical conventional view of the labour market. According to this perspective, overeducation resulted from a temporary disequilibrium in labour markets. People are rational participants in the labour market; they opt to overeducate themselves in order to signal their ability, obtain experience and subsequently advance to better jobs. However, behavioural economics rose to prominence due to its distinctive contributions to the study of human behaviour and its challenges to the rationality assumption. In light of concepts such as fairness, loss aversion and hyperbolic discounting models, many long-held neoclassical assumptions are challenged or perhaps need to be reconsidered. This study intends to contribute to the overeducation literature by explaining the phenomena as a kind of labour market stratification that disadvantages overeducated employees relative to others with the same educational level engaged in a well-matched job. Keywords: Overeducation; behavioural economics; reference point; prospect theory
103 What is Medicon, Sun Jiajun
Within a year, 4 papers were published on the Medicon platform, and the article numbers were respectively MCET02012, MCET02023, M CET03073 and MCET03074. Is this an easy thing to do, or is it a little difficult, a little weight, a little capital can be enough for friends what about a thing that friends show off? This is a question that is best answered now. I want my friends to be able to give me my views relatively easily, but I can’t sell melons and boast about myself, and say how my articles are written.... Instead of talking to himself about how good the standard of his article is, it is better to evaluate the grade of this flat platform from another angle. As long as friends establish a basic understanding and judgment of this platform, they will naturally perceive it the level of my article. To look at things should be to use the point of view of universal connection, in the case of an article, in addition to looking at the causes inherent in the article itself an article should be associated with the platform on which the article was published in this way, the question will definitely be more comprehensive. Generally speaking, a tasteful issue platform also has most of its chapters this is why journals such as Nature, Science and Cell are prized all over the world. Medicon posted my article, instead of directly commenting on how the article is, it is better to see what the Medicon platform is like.
104 Problems and Countermeasures in the Construction of Intelligent Government under the Background of Big Data, ZhaoBin Pei and Ying Wang
With the rapid development of new generation of information technologies such as big data, cloud computing and the Internet of Things, the traditional government governance model has been unable to effectively cope with the changing social environ- ment and new challenges. The development of big data has made significant progress and breakthroughs in government’s mod- ern governance ability, which has become a new path of government data governance. The construction of smart government and the realization of smart government governance model are based on the rule of law as the basic guarantee, big data and other science and technology as the basic conditions, and smart decision-making as the core to build a dynamic network collaborative governance mechanism among government, market and society, so as to realize the efficient governance mode of smart govern- ment and promote the modernization of government governance ability. Starting from the construction of smart government, this paper mainly analyzes the mode concept, challenges and countermeasures of smart government construction in the era of big data. Keywords: Data Sharing; Smart Cities; Rule of Law Government
105 The Display Design and Implementation of Augmented Reality based on play-based learning model in museum contexts, Meilun Tan and Yan Guan
In an era of rapid advances in information technology, augmented reality is becoming increasingly evident as a new techno- logical medium for creating interesting learning experiences for the children’s education sector. It uses computer-generated 3D information to embed virtual objects into the physical environment, providing children with an interactive, immersive, virtu- al-real environment, and it is one of the powerful tools for arousing children’s interest in learning and enhancing their cognitive abilities. In this paper, we develop a museum learning service based on a PBL (play-based learning) model that combines AR technology, children’s games and museum learning. The practice was eventually implemented in the Chinese Geological Museum. Keywords: Augmented Reality; Learning based on games; Museum learning
106 Exploring Innovative Methods for Online Education, Anita Venugopal
Research suggests that online teaching has emerged as a crucial field of study in virtual education. The central aim of online teaching implies integration of new electronic devices and technologies in such a way so that it meets the goals of the curriculum and student learning environment without affecting the active learning in both online and offline mode. Many effective teach- ing methods are practiced by the educators to deliver the course online during class hours and outside class. In this paper, we present student’s response in promoting self-learning and collaborative-learning approaches. To achieve this, proper implemen- tation and structuring of course modules, usage of appropriate software’s, proper organisation of learning aids are considered to meet the competency needs of students that supports to enhance their self-learning abilities. Student evaluation during class hours enables educators to analyse effectiveness of teaching in online classes. The results of this approach is evaluated by col- lecting student’s response. Keywords: Virtual learning strategies, e-learning, peer learning.
107 Comparative Analysis of Information Design Research at China and Abroad Based on VOSviewer and CiteSpace, Ruhe Zhang, Lu Zhao and Yuting Liu
The progress and status of information design at home and abroad is comparative analysis. Based on the Web of Science and CNKI databases, the relevant documents of foreign and domestic information design were obtained as data resources, and bib- liometric analysis methods and content analysis methods were used to draw knowledge maps combined with the visualization functions of VOSviewer and CiteSpace software, and systematically analyzed the distribution of cooperation networks. Three aspects of hot topic distribution and time zone evolution analysis reflect the research status of this field. The research hotspots and trends in the field of information design at home and abroad are different. The foreign research in this field is earlier, the research institutions are closely connected, the research content is more detailed, and the human-oriented concept of informa- tion is concerned; the domestic research in this field is relatively late, there is a lack of connection between research institutions, and the research content is relatively scattered, focusing on the technology and method research of information design. The research in the field of information design in China should return to the human-oriented concept of metacognition, start from the information ontology, establish a research chain to explore human needs, and at the same time promote the research on intel- ligent information dissemination, and use innovative thinking to reconstruct more complex information problems. More detailed cross-cutting research, to establish rich information design context logic, to meet the more specific information needs of users. Keywords: information design; Visual analysis; Research trends; VOSviewer. CiteSpace
108 A Bridge, A Well and A World-Class Oil Field, Sun Jiajun
The Yellow River has a famous tributary called the Wei River, the Wei River has a famous tributary called the Jing River, and the Jing River has a less famous tributary called the Malian River; Not far from the place where the Malian River flows into the Jing River, a bridge was built in the sixties of the last century, and one end of the bridge connects to Changwu County in Shaanxi Province , the other end of the bridge is connected to the Qingyang area of Gansu Province, so the bridge was named Changqing Bridge; From here, tracing the Malian River up, you can find an old county town called Qingyang County and now called Qingcheng County, this The old county town is lifted by two rivers, east and west, on a high loess terrace; Although this is a small county town, it is a historical city that can be counted in the country, how long the history of ancient China is, how long the history of this county town is, and the historical story of this city cannot be told for three days and three nights;
109 Complex Solution of Engineering Problems by Graphic Methods, Aleksandr Yurievich Brailov
A geometrical problem is to determine the location of the image equidistant from four points that do not coincide in three-di- mensional space. A practical example of this problem is to determine the location of the lamp equidistant from four lamps, arbi- trarily located in the hall of an art gallery, a sports hall, on a site in a park and other objects. A method has been developed for the graphical determination of the geometrical place of an image equidistant from four points that do not coinciding in three-dimen- sional space. A methodology for the graphical solution of engineering geometric problems is proposed. Keywords: Geometric Image; Engineering Problem; Graphic Solution; Point; Sphere; Solution Methodology
110 Exploring Reinforcement Learning Environment for User-centric Applications in VANET, V Padmapriya and D N Sujatha
The past decade has identified Vehicular Ad Hoc Networks (VANET) as one of the promising technology for intelligent com- munication among vehicles. VANET supports the dissemination of safety, warning, and infotainment messages. Today, there is a growing demand for location-specific and infotainment messages among urban travelers. The class of applications that dissem- inates infotainment messages are called user centric applications. The task of dissemination is expected to be remunerative to promote cooperation among the vehicles. A vehicle that disseminates these user-centric messages earns a reward in the form of an incentive. Generally, the incentive bring in greed with a threat of malicious behavior in the network. Previously, several incentive-based approaches have been proposed that handle malicious behavior and maintain the equilibrium of rewards with the perspective of the Vehicular Network (VN). However, the Reinforcement Learning (RL) paradigm with its intelligent algo- rithms combined with vehicular networks is capacitated to handle several challenges in the incentive-based approaches. In this paper, we explore how RL environments can be adopted for the rewarding techniques in VANET. The paper concludes with open research challenges in this area. Keywords: Applications; Incentive-based; Reinforced Learning; Rewards; User-centric; Vehicular Networks
111 Insights to Unconventional Reservoir Fracturing: A Transdisciplinary Methodological Approach, Peter Wang Z
A better understanding of hydraulic fracturing behavior is even more crucial in unconventional plays as more new-well or infill-well are drilled and completed nowadays. Having integrated different sources of information/data such as the general trend of hydraulic fracturing practices during the last 20 years, DFIT and fracturing simulation, core analysis data, outcrops, the Hy- draulic Fracturing Test Site (HFTS), and fracturing monitoring in the wells or between wells such as pressure, tracers, DAS, DTS, DSS and so on. After synthesizing all kinds of data and information and applying multidisciplinary fusion ideas to the analysis, we proposed an innovative conceptual model of hydraulic fracturing coming along with some associated concepts; The transdis- ciplinary integration approach we used in this research follows all fundamental physics law and meticulously logical reasoning and analogy with crossing validation, the first principle thinking epistemologically because of the physics of unconventional fracturing is much more complicated than any single discipline can explain. More often than not, the solution coming from any discipline or data source is not a unique one. The cognition of the morphology or the called fracture pattern of hydraulic frac- turing is critical, which is virtually the conceptual model of fracturing. The conceptual model can directly impact the fracturing design and the way to evaluate actual fracturing. Using the proposed conceptual model, Fracturing Impact Volume (FIV), one can better explain what fracturing has done for unconventional plays and why it worked. With the proposed conceptual model and tossing aside the fracture network as the fracturing goal, many current fracturing practices can be improved significantly, and the way of production can be revised. This is a significant concept shifting in the unconventional fracturing arena. It is certainly not an easy task, but this paper makes a compelling case. With the FIV model in mind, the perception of “the greater the pumping rate, the higher net frac pressure, the better the fracturing to be” becomes unnecessary or makes little sense. This paper will decode the shale oil/gas flow mechanisms and demonstrate a better way to fracture and produce unconventional resources like shale oil/gas. Keywords: Conceptual model; Unconventional reservoir; Fracturing; Transdisciplinary integration
112 Identification of bird’s nest hazard level of transmission line based on improved yolov5 and location constraints, Yang Wu, Qunsheng Zeng, Peng Li, Wenqi Huang, Lingyu Liang and Jiajie Chen
Bird’s nest is a common defect in transmission line, which seriously affects the safe and stable operation of the line. This paper presents a method of bird’s nest hazard level identification based on improved yolov5 and location constraints, which solves the problem of bird’s nest multiple identification and hazard level classification. We integrate GhostModule and efficient channel attention (ECA) to design a lightweight attention mechanism convolution module (LAMCM). The original yolov5 is improved by using LAMCM and adding a prediction head, which improves the detection ability of small targets and alleviates the negative impact of scale violence. We only identify the bird’s nest on the panorama of Unmanned Aerial Vehicle (UAV) patrol, and classify the hazard level of the bird’s nest according to the location constraints of the bird’s nest and insulator. Experiments on coco data- set and self built transmission line dataset (TL) show that our algorithm is superior to other commonly used algorithms. On the COCO dataset, our algorithm achieved 49.1% AP at a real-time speed of ~79FPS on Tesla V100. On the TL dataset, the recognition effect of our algorithm on towers, insulators and bird nests has improved to varying degrees compared with the original yolov5. In particular, the recall rate of bird nest identification for three hazard levels has increased by more than 3%. The average recall rate of bird nest hazard level identification is 93%, and the average accuracy rate is 93.5%. Keywords: bird’s nest; transmission line; object detection; attention mechanism
113 Comparative Analysis of AISI 10B21 app Licable for Fasteners, Riya Rawat, Rohit Sharma, Asimul Haque, Vishal Sharma, Seema Mahto and Jimmy Mehta
Manufacturing components and parts for a specific application are generally fabricated by traditional methods followed by industrial standards. With the modern era of machining components new materials, composites and alloys have also been devel- oped for particular applications having desirable and required properties. Boron steel is one such material being used in manu- facturing industries for agricultural spades, knives, blades, etc. in its raw form. In the present work, boron steel’s properties and chemical composition have been compared when it is heat treated. It was observed that the working life span has been increased effectively and efficiently. This has also been verified using ANSYS. Keywords: boron steel; heat treatment; ANSYS
114 Insights on the Costa QDA Technique in Business and Leadership: A Post Covid-19 Outbreak Perspective, Mfanelo Patrick Ntsobi and King Costa
Business leaders with aptitude for using data intelligibly will be able to perform better post COVID-19 outbreak era. Literature posits that organisations are required to recognize the prudent role data plays in making crucial decisions about strategic direc- tions and ground-breaking decisions for maximising all stakeholders contribution, organisational growth, environmental, social and governance legitimacy. This is particularly pivotal during the time of catastrophic disasters or events that pose potential threats to business continuity and sustainability. While a lot has been researched in relation to Big Data, not much is available in literature regarding Big Qualitative (Qual) Data, and methods of computational approaches for transforming raw big qual data to information pieces that may produce relevant knowledge required for decision-making. This study proposes that informed decision-making will be beneficial to leaders who need to be at the cutting-edge of knowledge production within the dimension of ideation and innovation. The COSTA Technique provides researchers and organisations with real-time technological enablers, using mix-media applications and web-based approaches that provides business intelligence capabilities with high levels of effi- ciency and integrity to be utilised in decision making. The proposed approach to Data-Driven Decision-Making applies the capabilities framework that focuses on five key variables in decision-making, such as data governance, data analytics, insights exploitation, performance management and data integra- tion. The final outcome of utilizing the cloud-based COSTA QDA and technique culminates in presentation of methodologies that demonstrates how large volumes of textual data, also known and referred to as “big qualitative data” may be transformed to structured, coherent, meaningful and timely decision-making enablers. Keywords: Big data; Big Qual; Business Leaders; COSTA Technique; DDDM; Decision-making
115 Vegan Leather from Kombucha Tea and Scoby, Amruta Mokashi, Pranov Harale, Sandesh Chougule, Rushi Firodiya, Shreyas Gandhi and Adarsh Chougule
Cow leather, an animal product, is a common material. Despite being robust, it raises moral, social, and environmental con- cerns. The world is warming up, plant habitats and plant origins are being destroyed, artificial colours have an adverse effect on the environment and human health, and animal products and hair are utilized to make various types of leather and pricey fashionable clothing. Vegan leather, which was produced by recreating leftovers or growing living cells, may be a recent innova- tion for the manifesto on sustainable fashion. Another biomaterial manufactured without fleshing any animal is environmentally friendly and animal free leather, often known as “vegan leather” or “artificial leather”. As an alternative to cow leather or other animal leather, the creation of vegan leather using a symbiotic culture of bacteria and yeast (SCOBY) can be investigated. There is currently few research on the several substrates that can be used to create vegan leather using this process. In order to provide plant-based vegan leather, this paper used a variety of plant-based substrates, including SCOBY and kombucha tea. To sum up, this substance might also be thought of as a potential leather substitute for use in leather accessories like handbags and upper shoe soles. Keywords: Cellulose; Fleshing; Kombucha Tea; SCOBY; Sustainable
116 CFD Contribution on Fuel Cell Development, Antetomaso Christian, Irimescu Adrian and Merola Simona Silvia
The need to move away from fossil energy sources has never been so strong. One of the technologies under the spotlight in recent years is certainly that of Fuel Cells (FC). Direct Methanol Fuel Cells (DMFC), Solid Oxide Fuel Cells (SOFC) or Molten Carbonate Fuel Cells (MCFC) represent different developing paths of this technology, but they all share a couple of benefits with respect to other energy conversion devices: they have no moving parts and a quite simple working principle. But how can we push forward the devel- opment of FCs? Computational Fluid Dynamics (CFD) has been proven to be a powerful research aid in different fields of engineering. Similarly to other simulation tools (0D and 1D), 3D CFD opens up possibilities for parametric studies in a cost and time effective approach. Wheth- er it’s evaluating the effects of air-fuel mixture formation in an engine [1], comparing the performance of several types of air foils [2] or calculating the drag coefficient of a car with variable spoiler angles [3], this is what everyday CFD has to deal with. Different types of FCs require different considerations, so let’s focus on FCs for mobility: in this large family of by-products [4], Low Temperature Proton Exchange Membrane Fuel Cells (LT PEMFC) have been identified as the most suitable for vehicle implementation given their low operating temperature (80-100°C) and thus fast transient phase. This does not mean that this technology doesn’t show issues: current and voltage requirements force engineers to use a stack configuration of FCs, making it harder to keep the overall temperature field of the device under control, thus resulting in poor cell performance. Thermal management is a common problem for all FC types. A peculiar problem of LT PEMFC is flooding: the redox reaction taking place in the Membrane Electrode Assembly (MEA) generates water. A humid MEA is able to enhance transport phenomena [5], but too much water could flood the pathways of reactant gases [6].
117 Sustainability Resource of Natural and Technogenic Systems to External Influences, Viacheslav Iegupov and Gennadiy Strizhelchik
Considering the issues of human interaction with the environment, there is often a need to know the permissible limits of impacts under which the natural-technogenic system does not leave a stable permissible state. This applies to the most diverse areas of sci- entific and practical activity in natural or human-modified environments. For example, in geotechnics - it is necessary to know the limits of static and dynamic loads on soils, resistance to shear and other stresses; in hydrogeology - to additional infiltration feeding of groundwater, pressure gradients; in thermal physics - resistance to temperature effects. That is, it is necessary to assess the permissi- ble limits in a wide variety of areas of physical interactions in the “human - environment” system. In geotechnical, hydrogeological surveys for construction, the maximum permissible indicators of significant impacts are deter- mined and taken into account in each specific case. Then measures are taken to regulate (limit) the intensity of impacts or to increase the ability of the object to perceive and withstand these impacts. In general, this approach is an elementary control of a cybernetic nature.
118 Green Supply Chain: A Sustainable Option to Serve Mindful Consumers, N Gupta and Sharad Gupta
The concept of green supply chain is fast gaining momentum, because of the environmental concerns. The 6 R’s namely Reduce, Reuse, Recycle, Rethink, Refuse, and Repair are securing importance. A new concept of remanufacturing is also coming up Due to limited availability of natural resources, there is constant demand to reduce consumption [1]. The manufacturers are constantly tak- ing account of the environmental concerns while designing supply chains. The green supply chain management (GSCM) primarily emphasizes on reducing the waste generation and reusing the waste. GSCM is “integrating environmental thinking into supply chain management, including product design, material sourcing and selection, manufacturing processes, delivery of the final products to the consumers, and end-of-life management of the product after its useful life” [2].
119 Teachers Role in Outcome-Based Education, Dr. Syed Sumera Ali
The Outcome-based Education (OBE) introduce in the United States since 1994. Many countries started onwards for universities also implementing in public schools system since 2008. In Outcome-based education, teachers are the facilitators, rather than lecturers. In OBE teachers guide students through learning, hands-on, curricular activities & interactions to guide student engagement with new study material. Also motivate & encourage the application of developing knowledge and skills through the students.
120 The Link Between the Spread Information and the Maxwell’s Equation, Delphin Kabey Mwinken, Rituraj Rituraj, Adelino Joao Ganga Ngunza, Habaguhirwa Vedaste and Emoke Imre
The Forces between two charges are one the four fundamental forces that keep the world together Indeed when a single photon is emitted, it spreads over a system, the intensity decrease by square law of the distance which compliant with conser- vation of energy. A changing magnetic field creates an electric field, and a changing electric field creates a magnetic field, and an accelerating electric field creates an accelerating magnetic field. Electric lines are modeled for visualizing the effect in space of electrostatic forces that occur two or more charged particles. Maxwell equation provides a Mathematical model for electric, optical and radio technologies such as power generation, electrical motor and wireless communication. Unfortunately, Maxwell’s equation requires some advanced techniques which lie well beyond the understanding of this paper. The derivation of maxwell’s equations is approach established for the time -dependent from static laws, The variation of electrical fields and magnetic field and Faraday’s law can be derived without any assumption relativistic. Keywords: Mathematical model; Maxwell’s equations; Electromagnetism; Wireless communication
121 The Engineering Schools: Restoration the best Russian Traditions of Technical Education, Aida Nurutdinova R, Elena V Dmitrieva, Elmira R Vasilyeva and Liliya Z Samigullina
So what is the Russian engineering school? Why exactly is it necessary to restore it? Among the many publications on the founding of 30 engineering schools in Russia, there is almost no explanation of this phenomenon [1]. Perhaps this is due to the fact that historians of science know more about the “Russian engineering school”. Experts in the history of science and Higher Education in Russia are in solidarity in their main assessments and conclusions [2]. According to their opinion, from the birth of engineering education in Russia under Peter the Great and up to the present day, the engineering school has been preparing true engineering élite, who were capable of resolving the most challenging issues of ensuring security and technological development of the country. Since the end of the 19th century it has achieved such a level that it has always been a role model for others to follow. For a better understanding of the Russian engineering education, it is necessary to look at the main periods of its formation and development [3].
122 Intelligent Evaluation Method of MOOC Learning Efficiency Based on Kirkpatrick’s Model, Yangbo Wu and Ying Lin and Ng Giap Weng
In view of the poor evaluation effect of MOOC learning efficiency, this study proposes an intelligent evaluation method of MOOC learning efficiency based on Kirkpatrick’s model. Firstly, Kirkpatrick’s model is used to screen the evaluation indexes of MOOC learning efficiency, so as to construct the intelligent evaluation system of teaching-learning efficiency. Then optimize the intelli- gent evaluation steps of teaching efficiency. The experimental results show that this method has high practicability and accuracy in practical application, and can fully meet the research requirements. Keywords: Kirkpatrick’s model; MOOC ; Index system; Efficiency evaluation
123 Criteria For Site Selection of Semi-Automatic, Small and Medium-Sized Car Parking System from Sustainability Perspective, Tran Thanh Ha, Vo Minh Phuc and Nguyen Hong Minh Anh
The semi-automatic car parking system has been used in many cities across the world due to its many benefits, including its tiny model, compaction, need for less space, and speedy construction. The car parking system solution may hold the key to addressing the parking needs of urban areas since it has specifications that are appropriate to the needs and characteristics of HoChiMinh City. However, in terms of sustainable and aesthetically pleasing urban development, choosing the best location to place the parking model is difficult. Therefore, this research aims to determine the selection of criteria affecting the location of semi-automatic car parking criteria based on a Multicriteria Decision Making Model (MCDM). The contribution of this study is a set of guidelines with four primary criteria and eighteen sub-criteria to assist private businesses and local management organi- zations choose the best location for semi-automatic parking to maximize efficiency and toward urban sustainability. Keywords: small and medium car parking system; traffic planning; urban sustainability; MCDM
124 Probabilistic Methods in the Problems of Dynamics, Strength and Reliability of Rail Crews, AN Savoskin, GP Burchak and DA Bondarenko
Some aspects of the application of probabilistic methods in the problems of dynamics, strength and reliability of rail crews are consistently outlined. Methods for generating random perturbation and solving problems about random oscillations of crews with linear and nonlinear characteristics of spring suspension are considered. It is shown that random oscillations of nonlinear systems are non-stationary and to determine their probabilistic characteristics it is necessary to apply the averaging procedure for a set of implementations.
125 How Oversea University Students Use Mobile Devices to Support Their Foreign Language Learning and Their Learning Motivation, Binbin Zhu and Ying Sun
International students have greater difficulties navigating a variety of academic and social contexts than host nationals. Lan- guage-related issues were among the most often cited difficulties by students studying abroad. Many students who study abroad and rely on language to navigate have a tough time learning a new language. If asked to identify the most significant influence on language learning, most teachers and students would likely name motivation. Teachers of foreign languages frequently use the term “motivation” when describing successful or failed students. Nonetheless, there is no doubt that motivation is the most com- plex and difficult challenge confronted by language learners, particularly in this digital age. Numerous research on the efficiency of computer-assisted language learning have been conducted in recent years, and the literature on the psychology of language learning is vast. Regarding the psychological aspect of a mobile-assisted language-learning environment, relatively little research has been undertaken. In addition, few research have directly examined the attitudes of international students regarding the us- age of mobile devices to motivate their foreign language learning. The purpose of this article is to investigate Chinese over-seas university students’ use of MALL applications to motivate foreign language learning in Germany. The study evaluated whether and how perceived tools or activities can affect learners’ motivation to acquire foreign languages in informal settings. In addition, the reasons why mobile devices motivate language use and specific types of motivation are investigated. Keywords: Motivation for foreign language learning; Social-psychological linguistic; Mobile assisted instruction; Self-efficacy; Oversea university students
126 Indian Lean Construction Practices, Mainak Ghosal
In 2008 several Construction bodies sat together and formed The Institute for Lean Construction Excellence (ILCE) with the ob- jective to spread awareness about Lean practices. At present, several Construction majors like L & T, Shapoorji Pallonji, Afcons, URC Construction, TATA Realty, Godrej Construction & many more both construction or non-construction companies are following Lean Construction practices
127 E-sports Industry Promotes the Iterative Restructuring of Regional Culture Across Modes, Jing Zhang
While block chain, clean energy and virtual technology gradually complete the profound deconstruction of regional culture, there is also the “re-organization” and “re-visualization” of regional culture. The game paradigm is the operation mode, commu- nication language and interaction mechanism of e-sports. With “digital drive, cultures, art, innovation” as the starting point, the visual elements of the research on regional culture and block chain extending reality, realize the decentralized VR/AR/MR born from the physical world and the world seamless link (heart) and yuan universe the fusion, the technology is advance esports transmission iterative build regional culture important focus. Keywords: e-sports; cross-modal; regional culture; iterative construction; interactive experience
128 Shoreline Evolution Due to The Development of Thangassery Harbour in Kerala, Kunhimammu Paravath* and Nasar T
The shoreline, which is the boundary line between water and land is undergoing constant changes due to varying dynamic factors like, bathymetry, wave climate, currents, and coastal orientation. Shoreline movement causes erosion and accretion on the coast. The repeated storms and the rise in sea levels lead to coastal flooding and which contributes to erosion/accretion problem on the coast. For the present attempt, the shoreline evolution is analysed by using numerical method, due to the devel- opment of Thangassery harbour in Kerala coast in India. To predict the shoreline evolutions at Thangassery harbour Mike 21 SW and LITPACK modules are utilized. The studies reveal that after the harbour construction, there is tremendous accretion on the immediate south of leeward breakwater followed by erosion trend. Keywords: harbour; breakwater; shoreline; erosion; accretion; LITPACK
129 A Numerical Study to Choose the Best Model for a Bladeless Wind Turbine, Mohammed Amein Alnounou* and Sikata Samantaray
A new type of wind turbine has been created called the bladeless turbine, which uses a completely new type to capture wind energy, as it works with a minimum of moving parts to generate electric current using the vibration produced by the wind. In this chapter, numerical modeling of airflow around a two-dimensional cylinder was made and compared with the reference values to ensure the correctness of the program used, and then the three-dimensional cylinder was studied and the numerical study expanded to include several cases. Where the study was conducted on 5 different shapes of the mast by changing the angles of inclination of the cylinder under boundary conditions T=288.16 K, P=l atm, V = 0.0003 m/s and studying the effect of model dimensions on the results of the modeling process by comparing the pressure diagrams around the studied shapes in order to ensure that the results are within the least relative error. The results also showed that with increasing the angle of inclination of the cylinder, a lower pressure drop was obtained. Numerical modeling of the airflow around the bladeless wind turbine was also made according to two cases, the first case when the same boundary conditions V =0.0003 m/s, T = 288.16 K, P = l atm, the second case at reference boundary conditions V = 3 m/s, T = 300K, P = l atm, Using a regular mesh and hexahedron, the density of the used mesh has been modeled, and then reviewing the effect of the used perturbative model on the results, choosing the perturbative model best suited to the studied case, and comparing it with the reference case. Keywords: Vortex Induced Vibrations; Bladeless Windmill; Vortex Shedding; Numerical Modeling
130 Towards An Uncertain Integration and Composition Approach of Data from Heterogeneous WoT Health Services, Soura Boulaares*, Salma Sassi, Djamal Benslimane and Sami Faiz
Over the past few years, the use of electronic health records (EHRs), wearable devices and health apps has grown in popularity. Due to the abundance of collected and integrated data, self-management of health becomes more practical. Among the challeng- es facing the current health system are intelligent homes and intelligent workplaces made possible by the Internet of Things. The Web of Things (WoT) is a subset of the Internet of Things that aims to connect everyday things to the Internet and manage interoperability. Furthermore, collaboration of health data with data from various devices at home and at work, as well as open data on the Internet, is critical for successful and accessible health self-management. Unfortunately, shared health data may be untrustworthy for a variety of reasons. Uncertainty can be caused by heterogeneity, incompleteness, unavailability, and data inconsistency. To address the problem of health data uncertainty, we provide a probabilistic approach for composing uncertain Health Connected Data and computing the probabilities to deliver the final degree of uncertainty. We also present a method for parsing typical WoT objects into a new programmatic form that mimics the uncertainty of health data. Using a health care use case, we show how our technique successfully integrates uncertain health data with home, work, and sport environment data for the WoT domain. Keywords: Uncertainty; WoT; uncertain IoT; REST Data; Integration; Probability
131 Parameters Investigations Helpful for Manufacturing Industries, Bazani Shaik*, Muralidhara Rao, K Bhavanarayana, B Sudhakara Rao, J Ranga, SS Sarma, J Prasanth Kumar and A Rahul Kumar
Bazani Shaik*, Muralidhara Rao, K Bhavanarayana, B Sudhakara Rao, J Ranga, SS Sarma, J Prasanth Kumar and A Rahul Kumar
132 Design and Development of a High Gain UWB Quasi-Conical beam 3-element Antenna based on the concept Of Novel Fabry Perot Configuration, Joyanto Roychoudhary
Single directive beam Antennas suffer from a sufficient number of bottlenecks. Alternatively a multi-beam Antenna(MBA’s) where Antennas work independently and concurrently to achieve High Gain and Beamforming in the RF domain can prove as a candidate solution to present day Single Beam Antennas as they serve as key enablers for Massive-MIMO configuration, a breakthrough towards the conventional MIMO where a very large number of service Antennas operate fully coherently and adaptively. Here MBA’s operating in the mm-Wave band have attracted much interest and have been rigorously investigated here. With the demanding requirements of 5G which prove as advantageous solutions to today’s spectrum shortage at conventional cellular frequencies.
133 Prediction of Electric Vehicle Energy Consumption by Combining Real Vehicle Data and Machine Learning Methods, Zhengqian Wu, Xiaobing Chen* and Yugang Jiang
A highly nonlinear relationship exists between complex driving conditions, external influencing factors and vehicle energy consumption. Considering the spatiotemporal characteristics of vehicle operation, the significant feature parameters are extract- ed to improve the accuracy of vehicle energy consumption prediction. In this paper, an electric vehicle energy consumption pre- diction method that integrates real vehicle operation data and machine learning methods is proposed. Based on a large amount of real vehicle operation data, data cleaning and data integration methods are used to divide different kinematic segments. The key features of vehicle operation are extracted from the kinematic segment, and the correlation coefficient analysis is used to screen important feature values. Based on the XGBoost algorithm, the vehicle termination SOC prediction model is established to further obtain the results of the vehicle energy consumption. Through real vehicle operation data verification, the energy con- sumption prediction error within 0.04kWh, the results indicate that the proposed method gives out high accuracy. Keywords: electric vehicle; energy consumption analysis; XGBoost algorithm; kinematics segment
134 Prospects of Improving Biogas Technologies by Increasing Productivity of the Methane Generation Process due to Complex Processing of Organic Waste, Bieliatynskyi Andrii*, Kateryna Sorokina, Valentyna Yurchenko and Natalia Teliura
This paper aimed at analysing the current state of methods of increasing methane generation during treatment of organic sewage sludge. The authors considered the theoretical principles of biogas production and the main directions of intensification of methane fermentation processes. A chemical study of sediments produced at sewage treatment plants in the city of Kharkiv, Ukraine, showed that the C/N ratio in the investigated excess activated sludge is 4-5, in the mixture of primary and secondary sediment - 5-6, in sediment from sludge sites - 6 -10, which is significantly less than the ratio of 20:1, which limits the negative impact of increased nitrogen content in organic substrate for methane fermentation. The directions for rising speed of the first phase of sediment fermentation and directions for increasing methane output during fermentation of a complex organic sub- strate have been determined. The promising technologies of adding organic substrates, richer in carbon compared to sewage sludge, have been noted. This solution will not only make it possible to improve productivity of fermenters, but at the same time resolve the issue of organic waste management.
135 Intelligence Home Security Monitoring, Goral Hampika* and Pranay kumar Padegela
Major cities are highly endangered from thefts in a range of ways, such chain robberies, robberies committed by persons inside stores, and home invasions. These residential crimes take place by breaking in via the locked doors. It is sometimes possible to prevent murder of an owner during a late-night heist by having cops patrol the area at night and taking other security measures, according to state police. However, this strategy can’t stop home invasion robberies because authorities are unable to search every single house. A number of modules, including Auto-Configuration and Management, Communication Protocol, Auto-moni- toring and Control, and Objects Security Systems, are included in the proposed generic framework. The proposed generic frame- work comprises various modules such as Auto-Configuration and Management, Communication Protocol, auto-monitoring and Control, and Objects Access Control. The architecture of the new generic framework and functionality of various modules in the framework are also presented. The proposed generic framework is helpful for making every house as smart house to increase the comfort of inhabitants with security. Each of the components of generic framework is robust in nature in providing services at any time. The components of smart home system are designed to take care of various issues such as scalability, interoperability, device adaptability, security and privacy. The proposed generic framework is designed to work on all vendor boards and variants of Linux and Windows operating system. Keywords: Raspberry Pi; spy cam; Door Sensor; LCD; GSM; GPS; Buzzer
136 Z-source Inverter Based DSTATCOM, Jogeswara Sabat
Nowadays, the different custom power topologies are being competed in the utility market and also, their impact is compared on the basis of shunt compensation. By keeping the improved design of the DSTATCOM in the power system, there are critical issues to maximize the advantage of the existing device. Also, possible synchronization between different compensators for the purpose of achieving better PQ solutions is studied.
137 Artificial Intelligence, Transparency and Importance of Explainable AI, Mohan Bhandari
From the virtual assistants in our smartphones to the self-driving automobiles on our roadways, artificial intelligence (AI) is becom- ing more and more pervasive in our daily lives. Also, a variety of industries, including healthcare, banking, retail, and manufacturing, are using AI technology. It is critical to assess the current level of the technology and its possible effects on society as the usage of AI increases. We’ll examine some of the most important data on artificial intelligence in this editorial.