**Deadline Extended         Dates To Be Remember : Abstract Submission : 24th September 2021 | Full Paper Submission : 25th September, 2021 | Registration Deadline : 26th September, 2021

Scientific Program

Keynote Session 09:30 to 10:00

Biography

Dr. Charyna earned her Bachelor degree from Universitas Islam Indonesia, Yogyakarta. She continued her study directly to get her M.A. and Ph.D from Department of Psychology and Human Development, Universiti Kebangsaan Malaysia. She is now working as a Senior Lecturer in Faculty of Psychology Universitas Pancasila, Jakarta, Indonesia where she has been working-since 2011. In addition to providing a high quality educational experience for students, she has been held a responsibility for Vice of Quality Assurance, Head of Developmental and Clinical Psychology Center Studies, and Vice Dean for Academic, and last Students Affairs, and Alumni for 4 years.

Dr. Charyna is very keen on doing research wich focuses on Empathy and how it plays role in some issues such as cyberbullying behavior, moral values, and other personality problems. She had presented her research in international/national conferences (such as The International Academic Forum – Tokyo, Conference on Humanities, Social Science, & Business Studies – Seoul, Asian Psychological Association Convention – Malang, etc). Her article had been published in national accredited psychology journal, such as Journal of Family and Consumer Sciences, Journal of Psympathic, Journal of Konseli, etc, and international, such as International Research Journal of Human Resources and Social Sciences, Electronic Journal of Research in Educational Psychology (publish on this September), etc. Also, she has been named one of the Reviewers for the National Accredited Journal of Psychology in Universitas Gunadarma, Jakarta.

Therefore, her research findings brings her to be speaker such as program of Jakarta Children-Friendly City and regularly share her knowledge through radio broadcast. Recently, Dr. Charyna has awarded grant of Digital Innovation Module from Minister of Education and Culture (2021) in regards to empathy in social media. She has also written a number of book chapters, and the latest one was about Empathy in the Covid-19 pandemic and published in National Book Chapter of Developmental Psychology (pandemic Covid-19 Ed). Now, she is currently finishing her book, Empathy in Human Developmental Psychology perspective.

Keynote Session 10:00 to 10:30

Biography

Oscar Correia has more than 20 years’ experience in Information Technology spanning various sectors including education, telecommunications, mobile financial services, IT outsourcing and product management. His last assignment was leading one of the largest mobile money managed services as Vice President, Financial Services at MahindraComviva. Prior to that he spent 10 years at Airtel Africa working in Kenya where he played various roles from IT Director to Head of Products. Oscar has a degree in Electrical Engineering from the University of Nairobi, a Post Graduate Diploma in Telecommunications from Ashton University and an MBA from Warwick Business School. He also holds certifications in ITIL and Cisco as well as PRINCE2 certification. He is currently the Deputy Vice Chancellor at Cavendish University Zambia where he teaches Project Management and Artificial Intelligence. He also continues to have an interest in financial inclusion, especially mobile money. He is also a member of IEEE and on the Payments Working Group of the ITU for development of the GovStack initiative.

Biography

Prof. (Dr.) Sunil Kumar Khatri is working as Director of Campus at Amity University Tashkent. Earlier he had worked as Director for Amity Institute of Information Technology and Additional Director for Amity Directorate of Engineering & Technology at Amity University UP, Noida, India. He has more than two decades of administrative and teaching experience. He is a Fellow of IETE, Sr. Life Member of CSI, IEEE, IASCSIT and Member of IAENG. He is Secretary in SREQOM, Immediate Past Convener, EAC, IEEE UP Section Executive Council and Past Vice-Chairman of CSI Noida Chapter.

He was conferred with Honorary Visiting Professorship by University of Technology Sydney, Australia in Oct, 2016. He has been conferred “Award of Excellence in Educational Leadership” in 2017, “IT Innovation & Excellence Award for Contribution in the field of IT and Computer Science Education” in 2012 and “Exceptional Leadership and Dedication in Research” in the year 2009. He has the recognition of being listed in Marquis Who’s Who, USA continuously for the last nine years.

Dr. Sunil Kumar Khatri is Editor of International Journal of Systems Assurance, Engineering and Management, Springer Verlag. He is in Editorial Board of several Journals from USA, Egypt, Hong Kong, Singapore and India.

He has Eleven edited books, Ten guest edited special issues of international journals, Eleven patents filed, done two international projects and more than 225 papers in international and national journals and proceedings. His areas of research are Artificial Intelligence, Software Reliability and Testing, and Data Analytics.

Session Chairs

Biography

Dr. Nirzar Kulkarni is the associate Director and Professor from Dr. Ambedkar Institute of Management Studies & Research, Deekshaboomi, Off VIP Road, Nagpur – 440010, NAAC Accredited “A” Grade &; NBA Accredited Institute. He is doctorate in Business Management, an engineering graduate with MBA, MCM, and PGDCCA. He has also cleared SET exam. He is having a teaching experience of more than 24 years as full time university approved faculty.

He is a recognized Ph. D. Supervisor in Business Management & Administration. He is having a Fourteen researchers awarded Doctorate under supervision till date. He has worked as Ph.D. evaluator & referee, Ex Member, RRC, Management Board, Gondwana University, Gadchiroli. He is Member, RRC, Computer Management Board, S. F. Pune University, Pune. He has Seven research papers presented in National Conferences., Thirty one research paper published in International Journals with ISSN no., Twelve research papers published in International Conferences with ISBN no., Three research papers published in SCOPUS listed Journals. His Google Citation Index- 18 & H Index - 2 (Sept 2020). He is Advisory committee member for international journal (ISSN 2319-2429). He is Member, Editorial board of International journal & worked as reviewer. He has filled a Patent filed titled “An automated system for integrated hospital inventory & workforce management and method thereof” Publication ID- 202021026249, dated: 17-07-2020 and he has Two Copyrights registered on his name.

Biography

Ashwin Perti is Working as an Assistant Professor in Department of Computer Science, Ghaziabad (Uttar Pradesh). Completed M. Tech. in Computer Science and Engineering in Mobile Ad-Hoc Network. I had a total working experience of 19 Years.

Pursuing my Ph.D. From Dr. APJ AKTU, Lucknow, (Uttar Pradesh) in the field of Sentiment Analysis and Community Detection using Deep Learning.

Area of expertise include Machine learning, Deep Learning, NLP, Soft Computing.

I have published 2 Patents and many research papers in International Conferences related to Security and Deep Learning. Done FDP and seminar on Big Data Analytics using Hadoop.

Biography

Dr.Lokesh C is an Associate Professor in the Department of Electrical and Electronics Engineering, Vidyavardhaka College of Engineering, Mysuru, India. He received Ph.D in the stream of Electrical and Electronics Engineering Science from Visvehvarayya Technological University (VTU), Belagavi, India. His research area includes Low Power Analysis in Digital Communication System, Analog circuits, Digital Circuits.

Biography

Prof. Dr. S. Nagarajan is the Principal of Surendra Institute of Engineering and Technology, Siliguri, Darjeeling, West Bengal. Before joining this position, he was working as a Professor and Head in the Department of Electrical and Electronics Engineering at Jerusalem College of Engineering, Chennai. He has 23 years of experience in teaching in various institutions. He completed his Ph.D. from Anna University in the year 2014. He is serving as the Deputy Director, Charles Walter Society for Research and Innovation.

Dr. S. Nagarajan is a leading academic researcher and He was the Professor and Head of the Department for 10 years, he is a role model for other staff members in the pursuit of academic excellence, leadership, and managerial skills. He has very good ambassadorial and diplomatic skills.

Dr. S. Nagarajan took on the responsibilities for setting and advancing the academic strategy of the Department in line with Faculty and University strategic plans. He developed and sustained an appropriate structure for management, consultation, decision-making, and communication with staff and students. He makes effective use of all staffing resources and seeks opportunities for collaboration and joint working with others beyond the department and beyond the Faculty. Under his leadership, guidance, and active involvement the team of faculty members has worked for NBA (2003,2009&2019), NAAC (2005,2015) Accreditation and Autonomous (2019) status and earned a praiseworthy comment from the committee. He introduced activity-based learning in Jerusalem College of Engineering through various student clubs to enrich students' knowledge. As a leader, he was a Professor of Placement and Training, Disciplinary Committee Chairman, and Social Media Champion of the college. He also acted as a Chief Superintendent for University examinations and Chairman for Board of Studies, Central valuation & QP scrutiny of Department of EEE, JCE,2019

He is a recognized supervisor for M.S/PhD of Anna University. His research area includes Electrical Machines & Drives, Power Electronics, Renewable Energy, and Power Systems. Presently he is guiding 2 research scholars. Under his guidance, 30 UG batches and 15 PG students had completed their projects successfully.

Among the plethora of awards that Dr. Nagarajan has received, are the Best Teacher Award from Jerusalem College of Engineering for two consecutive years in 2002 and 2018; Best Outstanding Teacher Award from Pearl foundation, 2016; Best performer award from JCE; Best Teacher Award from Rotaract Club Five Star, Chennai during teachers day celebration, Septemper'18; Best HOD of year-2019 by IARE, June '19, Noida; Best Distinguished Teacher Award of year-2019 by MTC Global, September'19, Bangalore; Best researcher Award by VD good technology, November'19, Vishakhapatnam and Committed faculty award from JCE. He is a Fellow member of IEI, a Life Member of IET, IEAE & ISTE. Further, he has also received funds from IEI-KANCHIPURAM local chapter to conduct a national seminar on Design Challenges in E-Vehicle, Jan-2020.

He is a member of the Editorial Board of IEAE and IJCERT journals. He has organized many FDTP programs sponsored by Anna University and ISTE. Dr. S. Nagarajan has published more than 62 papers in International Journals and conferences. He has authored 3 textbooks for Engineering students (Circuit Theory, Design of Electrical Machines & Digital Logic Circuits). He has been selected as the Most Promising Educator in higher Education across India for the year 2019" by uLektz Wall of Fame, an initiative to identify, recognise and appreciate the contributors of higher education.

Biography

Ts. Ir. Dr. KING KUOK KUOK is a senior lecturer at Swinburne University of Technology Sarawak Campus. He received his MEng from the UNIMAS in 2004 and Ph.D. from the Universiti Teknologi Malaysia (UTM) in 2010. His current h-index and i10-index is 11 and 13 respectively, with more than 400 citations. He has published more than 50 indexed journal research papers, more than 25 conference proceedings and 9 book chapters. He has a number of collaborations throughout the world (e.g., Australia, New Zealand, Russia, UAE, the Czech Republic, Bangladesh, and Malaysia). His research interests include climate change, water resources, water supply, hydrology, artificial intelligence, soil erosion and sedimentation. His second area of interest is in building information modelling and project management. Dr Kuok had involved in organising 11 conferences as different roles. He is also member of Editorial Board of the Journal Modern Management Forum, Singapore since 2019, Expert Scientific Editor for Academic Exchange Information Center (AEIC) from China since 2021. He is also Professional Technologist registered with the Malaysia Board of Technologists (MBOT) and qualified Chartered Professional Engineer in Malaysia, ASEAN, and APEC countries.

Technical Session

Biography

Deeparati Basu is currently a Senior Research Fellow (SRF) in the Department of Physics, Jadavpur University, Kolkata. She received her B.Sc. and M.Sc. degree in Electronics from University of Calcutta and Jadavpur University respectively. She was the recipient of university gold medal in her masters and afterwards awarded DST INSPIRE fellowship by Govt. of India for pursuing her doctoral research.

Abstract

Multi-parametric sensors are preferred over single parameter sensor due to their increased efficiency, accuracy and precision measurements. In optical biosensing field, though there is large number of highly sensitive instruments available, most of them are extremely costly and provides single parameter detection only. So in this work, we have designed a simple optical breadboard based assembly with laser source and camera connected to PC, which provides a study of four different optical parameters (transmission, reflection, scattering and absorption) simultaneously. We have performed noise level analysis of different type of laser sources and cameras for achieving minimum limit of detection (LOD) for the biosensor system. A MATLAB based GUI platform has been designed for interfacing purpose and image processing is done on the picture data collected by the camera to achieve highly sensitive results. Chitosan-Silica nanocomposite (CSNC) membranes were used as semitransparent biosensing platform for glucose detection and optimization of our instrument performance.

Biography

Ms. Urvi Rathod has completed her M.E. in Civil (Town and Country Planning) from Gujarat Technological University and pursuing Ph. D from Uka Tarsadia University since 2019. Presently she is working as an Assistant Professor in Civil Engineering Department, Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University..

Abstract

Abstract The Urbanization is increasing all around the world especially in developing country like India. It is an unavoidable outcome of economic development, refers to the shift from a rural area to urban area which cause serious pressure of traffic congestion, pollution and other related problems. Dispersion of urban land use over large areas leads to traffic congestion, poor air quality and finally urban decay problems. More than half of the world’s population now lives in urban area and is predicted up to 60% of global population by 2030. Many developing countries are suffering severe traffic congestion due to its rapid urbanization and booming of motorization which put high pressure on urban transport systems. Urbanization has a major impact on land use characteristics. Travel behaviors in any city mainly relay on its land use distribution and transport planning. This study indicates that the integration of land use with transportation planning reduces the use of motorization transportation and promotes the use of public transport. The paper mainly focuses on the traffic problem and how the transportation planning depends upon the land use distribution and transportation network in developing cities.

Biography

Monsiri Balsook works as a senior engineer of ESD & Environmental control. She received a Bachelor of Electrical Engineering degree from Chiangmai University, Thailand. and earned an M.S. degree in Finance from CMU Business School. She is interested in innovation and technology management.

Abstract

In recent years, temperature and humidity monitoring in the microelectronic manufacturing industry grows increasingly significant in product quality. The Internet of Things (IoT) is the new challenge for moving from a traditional to a digital platform. This project begins with a collaboration between industry and university. It aims to improve the IoT temperature and humidity relative control system in a manufacturing cleanroom by connecting a factory’s ancient model temperature and humidity recorder with a Raspberry Pi. This program transmits data to a MongoDB server-internal web service, displays it on a website, and uses the Line application to send an automated email when not meet the specification. Real-time notification is sent to the relevant team to resolve the issue. It’s such a challenge project management. In conclusion, this project can aid in increasing productivity and efficiency way. Furthermore, a reliable temperature and humidity environmental control system ensure that product quality is maintained.

Biography

Amenah Hasan Flaih Al – Obaidi have a Master degree in Information Technology, her specialist in Data Mining from the South Ural State University, Russia, 2018.

Also, she had a Higher Diploma degree in a computer engineer from the Technical University of Electronic and Electrics engineering in Baghdad, Iraq, 2012. In addition to a Bachelor degree In the same field of the Higher Diploma degree, Baghdad, Iraq, 2006. Currently, she works as a Senior Lecturer in University of Thi-Qar / Nassiriyah / Iraq.

Abstract

In this research, experimental methodology has been conducted to analyzing a large set of undergraduate course evaluations from an Engineering faculty. We have shown how useful the application of data mining techniques in course management systems, although we have shown these techniques separately, they can also be applied together in order to obtain interesting information in a more efficient and faster way. Approximately 19 semesters has been assessment at a rate of 400 students divided by the four grades taught by 26 instructors by answering the obligatory questions. The data has been collected from these responses and transformed it into appropriate forms for mining. After that, built classification model, extract association rules and clustering the courses and students by using knime program.

Biography

Ebrahim Hamid Sumiea awarded with Bachelor Degree in Software Engineering from Asia Pacific University (APU) 2014. Since, 2014 to 2018, he assigned with 2 jobs title; Software Engineering Associate and Warehouse Operations Manager in Ministry of Electricity and Energy - YEMEN. Currently, he is pursuing Master of Business Administration (specialization in Engineering Management). My research interest includes technology and technology management.

Abstract

For effective staff's performance using online meetings applications during covid-19, it is mandatory that staff have the behavioral intention to measure, test, and manage their own data. Understanding of Public Higher Education Institution (PHEI) staff’ intention and behavior toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this research to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model.

This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model’s explanatory power and to make it more applicable to PHEI staff’ behavioral intention.

The data was collected from employees at the PHEI in east coast Malaysia, with 108 people responding to the survey. The completed questionnaire survey was sent to the selected respondents through social media, and the WhatsApp application. The data was then analyzed using SmartPLS software (PLS-SEM) version 3.0 to corroborate the hypotheses that had been developed previously.

Findings show that there are significant impacts between 5 factors, namely Behavioural Intention (BI), Effort Expectancy (EE), Facilitating Conditions (FC), Habit (HT) and use Behaviour, which are influence the acceptance and usage of online meeting platforms using by PHEI staff. The usage and adoption of online meeting platforms by PHEI staff was found to be more influenced by habit in this research. This suggests that the need to use such applications will become more addictive in the future.

Biography

Mrs.Rekha P S obtained B.E.(E&EE) from Mangalore University and M.Tech. from VTU, Karnataka, 2010. She is pursuing her Research currently on Power Electronics and Drives under the guidance of Dr. Vijayakumar, Professor, Department ECE, SJBIT, Bangalore. She has published many research articles in reputed journals and presented papers in National and International conferences.

Abstract

Switched reluctance motor torque ripple is more complex by the influence of many factors. It is predominantly included; doubly salient construction of the motor body; spreading with extreme non linearity; nonlinear impacts of mechanical parameters lead to incessant working of SRM. The main deficit of SRM is torque ripple which then upsurge acoustic noise due to its non-linearity comportment. To attenuate the torque ripple and the noise associated with it many tumbling techniques has been offered with results. From the outcomes it has been clinched that there are numerous controllers that gives the least torque ripple when it is used in Switched reluctance motor drive.

Biography

Mr. Prashant Y. Itankar is pursuing Ph.D. He has 20 years of teaching experience. He is good in various subjects such as Computer Graphics, Discrete Structure, System Security, Data Mining and Project Managements. He has published 10 papers in international journal, 3 international conferences, 2 in national conferences.

Abstract

Word Sense Disambiguation (WSD) is an open issue in the space of Natural language preparing. Numerous WSD systems uses data based independent philosophy as it reveals us from using marked corpus. Yet, this strategy depends comprehensively upon data. Working on the data for vulnerability objective is one of the huge issues in WSD. Yet Multilingual lexical resource is an asset for data based systems (KBS), various KBS have not yield great results due to nonattendance of satisfactory information needed for disambiguation. Multilingual information can help with boosting the display of WSD in various dialects. Joining lexical semantic information from different vernaculars further creates WSD task. We utilize Babel Net, a gigantic multilingual resource provider to achieve the task and plan a semantic word cloud to give world class disambiguation by driving additional data

Biography

My name is Gaurav Agrawal, a student pursuing his Bachelors of Technology (BTech) in Chemical Engineering from Manipal Institute of Technology, Manipal, Karnataka, India. My research interests lie in drug delivery systems and renewable energy. I am also an avid reader and enjoy listening to music in my free time

Abstract

Electrospun nanofibers have drawn a lot of attention lately to researchers across various fields of study. Their excellent and desirable properties such as high specific surface area, tunable porosity, timely and sustained drug release have put them into consideration as a potential system for drug delivery. Nonsteroidal anti-inflammatory drugs (shortened as NSAIDs) are one of the most popular pain relief medicines in the world which are used to cure headaches, sprains, swellings, fever, and a few symptoms of arthritis. However, the major downside of using these NSAIDs is that they can cause severe side effects or discomfort in the patients. Studies regarding NSAIDs’ delivery using electrospun nanofibers are found to allow site-specificity and requires a lower overall drug dosage, thus curbing the extent of the side effects caused. This review aims to analyze the current research on the promising and innovative application of NSAIDs loaded nanofibers as a drug delivery system.

Biography

Praveen C K is a 3D Character Animation expert. He has completed his Masters in Multimedia and Animation in Punjab Technical University, Punjab, India. His area of specialization is Character Animation. He has 1.5 years of work experience in India as 3D Character animator. He extended his career as academician in Lovely Professional University, Punjab, India and later joined in Vellore Institute of Technology as Assistant Professor (Jr), Vellore, India.

Abstract

The animation-based lectures have been employed in recent decades to enhance the learning ability and cognitive load of students across age groups from pre-school to university. This study aims to bring out the recent advances in this field and it also evaluates the influence of the parameters such as students’ prerequisites, their learning processes, outcomes and environment on their learning ability and cognitive load. Further, this work also discusses and analyses the implementation of animation-based lectures, and the pedagogy used for communication. The review results showed the impact of animation-based lectures on improving the students’ academic performance, subsequently enhancing the education standard, thereby enabling a consistent curriculum delivery. Finally, this investigation explores the limitations and open challenges in the implementation of animation-based lectures, in addition it also reports the future recommendations and potentials for instructional animation.

Biography

I am Mrs.kalpana Deepak vidhate. I completed my M.E. in Control Systems from PES Modern COE, Pune in savitribai phule pune university ,pune with (6.83 CGPA) in 2012, I am working as assistant professor in electrical engineering department at Dr. vithalrao vikhe patil college of engineering, Ahmednagar, Marashatra since 2008. I have a Membership of Institution of Engineers, India. I have been received Research Grant of Rs. 2 lacs by BCUD, savitribai phule pune University under (QIP) Quality Improvement Programme for the research project entitled “PLC Based Poka-Yoke System for Output Shaft Assembly”. I have received ‘Lady Engineer Award’ form Institution of Engineers, India ahmednagar local center I have attended various Workshops/Seminars/ FDP organized by pune university. I have attended and paper presented at various national Conferences. I have organized various Workshops/Seminars/ events in the department. I have conducted guest lectures at various colleges in ahmednagar on different topics electrical technology, PLC and SCADA, Computer programming, numerical methods . I have Taught Subject for UG Course such as material science , electrical technology, instrumentation engineering , numerical methods and computer programming, PLC and SCADA Applications , UEE, EIMT , BEE, EEE

Abstract

Energy management is the process of regulating and lowering your company's energy consumption. It allows you to: Cut costs – this is becoming increasingly crucial as energy prices continue to climb. Utilization of energy provided strong impetus for the construction of energy production and consumption patterns featuring diversified integration, interaction of supply-demand side. The future energy utilization system will move towards a user-centered integrated energy system (IES) the innovation of recent energy marketing prospectus. The future energy utilization system will also generate more new integrated energy service providers to better serve the individual demands of customer. It can be predicted the smart energy residential area for providers of integrated energy services to conduct user-side service management. Furthermore, the analysis and understanding of energy use behavior is an important way for integrated energy service providers to take on to the trend of increasing user energy demand and diversification of energy utilization, and also provide necessary means for users to make personalized energy use plans. These studies also provide methods and possibilities for user’s energy consumption behavior analysis. However, only few literatures studied the user energy consumption behavior using ML Techniques, For energy service providers to maintain market competitiveness. Therefore, the user energy behavior cluster analysis based can help the energy that is incorporated service providers to grasp the user energy behavior rules from the data, and maximize their own interests while satisfying users' personalized needs. Multi-thread demand forecasting model can utilize for minimize energy consumption. Can helpful to improve Effective energy costing.

Biography

Niharika Agrawal received BE and ME Degree in Electrical Engineering from SGSITS Engineering College, Indore. She has worked as Assistant Professor in Electrical Engineering and has teaching experience of 10.5 years. Currently she is working towards the Ph.D. Degree at SJB Institute of Technology, Bangalore from VTU University. Her research interest includes Power System, Renewable Energy, Microgrids, Soft Computing, Control Systems, Power Quality.

Abstract

The demand of electricity is continuously increasing. Due to increase in power demand and interconnections the transmission system is highly stressed. The different ways to meet the rising demand are either to increase the power generation or to use the existing system in a better way. The first option is expensive and needs huge investment. Thus, the existing transmission lines should be utilized in a cost-effective manner. Stressed transmission system in turn may lead to unsecure and unsafe operation of the power system. PSS are used to damp low frequency oscillations. But for mitigating interarea oscillations and also to prevent transient instability TCSC which is a series FACTS device is a good alternative to consider here. TCSC is used along with PSS to improve the transient stability of the power system There are two different types of PSS considered in this paper. TCSC is used in coordination with both the types of PSS

Biography

Ms. Supriya K Patil holds a bachelor’s degree in electronics and communication and perusing master’s degree in industrial electronics from JSS Science and Technological University Mysuru and working as project trainee in Robert Bosch Engineering and Business solutions. Area of interest includes image processing, AI in automotive field.

Abstract

Detection and object recognition is a challenging task in the area of Computer vision. The objective of this paper is to introduce a new approach for billing that is more efficient and accurate than current billing systems employed in fruit stores. The classification of fruits is done with deep learning neural networks, and load capabilities are calculated with strain gauge. Open CV and NumPy libraries are used to implement the image processing algorithms in Raspberry Pi boards. In this paper, the system can recognize the type of fruit, estimates the weight in gram, calculates the overall price, and allows customers to pay using RFID. Furthermore, this system offers smart warehouses that perform multi parameter monitoring and convey the data to the owners, allowing them to take appropriate measures at the right time for its longer shelf life.

Biography

Kiran Venneti was born in Rajahmundry in 1985. He received the BE and M.Tech degrees from Kalsar College of Engineering and Hindustan University in 2007 and 2011. He is currently pursuing Ph.D. degree from NIT, Assam. Since 2014, he has been with Aditya College of Engineering, where he is Assistant Professor in Department of ECE at Surampalem. His research interests focus on medical image processing, pattern recognition, Embedded Systems and IoT.

Abstract

The brain is the most important organ in the human body, responsible for controlling and regulating all critical life functions for the body and a tumor is a mass of tissue formed by the accumulation of abnormal cells, which keep on growing. A brain tumor is a tumor which is either formed in the brain or has migrated No primary cause has been identified for the formation of tumors in the brain till date. Though tumors in the brain are not very common (Worldwide brain tumors make up only 1.8% of total reported tumors), the mortality rate of malignant brain tumors is very high due to the fact that the tumor formation is in the most critical organ of the body. Hence, it is of utmost importance to accurately detect brain tumors at early stages to lower the mortality rate. We have thus proposed a computer-assisted radiology system which will assess brain tumors from MRI scans for the management of brain tumor diagnosis. In this study, we have implemented a model that segments images using Watershed and PSO algorithm, extracts features using DWT and PCA algorithms and finally classifies the tumors using CNN, SVM and Lazy IBK algorithms with a high degree of accuracy.

Biography

GOPINATH DEVARAJ is a visual effects expert. He has completed his Masters in Electronic Media and his business studies in Auckland, New Zealand. His area of specialization is Digital Compositing VFX. He has nine years of work experience in India and in New Zealand for 4 years as production manager of news media and as Visual effects artist. He extended his career as academician in ICAT Design & Media College and later joined in Vellore Institute of Technology as Assistant Professor (Jr).

Abstract

Anxiety is a mental disorder that has become one of the major issues in today’s world, so identifying the person with the same is a challenging task. During the 1950s contemporary techniques of treating anxiety were introduced, which involved muscle relaxation techniques and electroshock in the case of advanced stages of anxiety disorder. However, these type of treatments could be life threatening. These days’ physicians have the option of deploying various advanced technologies for achieving effective results in anxiety disorder treatment. Using Virtual Reality (VR) for the physical simulation therapy could be a convenient and cost effective solution. This work discusses and analyses the effectiveness of various VR based anxiety disorders therapies. Moreover, this study also explores the possibility of using VR-assisted motion capture technology (MOCAP) for augmenting the effectiveness of anxiety disorder therapies. Further, it also discusses the various potentials and future directions for the VR technology based anxiety disorder treatment.

Biography

Murtaza Joya has completed his B tech at Aburayhan university Kabul and done his practical training at Sharif university of technology Tehran, Iran. He continued his study and published two review papers and working on new research related to earthquake. recently he had done his ME.CTM (Construction Technology and Management) in Civil Engineering Department of Chandigarh University, Punjab, India.

Abstract

The advancement of science and technology is a continuous process that contributes to the expansion of infrastructure across the world. Any country's growth is dependent on its infrastructure, and concrete plays a vital role in most infrastructures. This eventually increases the demand for cement. Cement manufacturing in India has increased in recent years, from 207 million metric tonnes in 2010 to 480 million metric tonnes in 2019. In the last few years, researchers have been making an attempt to develop sustainable and environmentally-friendly solutions for producing a spacious amount of concrete for the global construction industry. The answer could be Concrete without cement (Geopolymer concrete) and recycled materials, which we studied briefly

Biography

Rizqi Aisyah Kuncaraningrum, born in Malang, Indonesia in August 1994, she is the fifth of five children. The author studied from elementary school to undergraduate studies in Malang. Bachelor's education was taken at Brawijaya University majoring in Industrial Engineering. And now the author is continuing her master's degree at Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Abstract

This study considers the integrated problem of inspection, maintenance, and inventory in an imperfect production system. The production system can be performed in two state is in-control and out-of-control state, where some proportion of defective items are produced by the production system during both the in-control and out-of-control states. A production system, maintenance, and quality need more coordination to increase productivity and efficiency to reduce costs. A mathematical model is developed to representing the expected total cost per item is derived for an imperfect production system. This study aims to determine the optimal amount of buffer stock and inspection policies to minimize costs per item during the production process. This study proposed an extended product inspection policy for an imperfect production system. A buffer stock is established to meet demand while maintenance is performed. Product inspections are performed any arbitrary time of a production cycle, and after the inspection, all defective products produced until the end of the production run are fully reworked. The non-inspected items are sale with free minimal repair warranty. The inspection policy is imperfect, permitting type I and type II errors are considered to make the model more realistic. A numerical experiment along with graphical representations are to illustrate the proposed model. Sensitivity analysis of the optimal solution with respect to model parameters of the system which have direct influence on the optimal decisions, and the implications are discussed.

Biography

I am currently doing my PhD in philosophy of information technology in international Islamic university university Malaysia (2018 till now). I received my degree and first master in science in the university Gamal Abdel Nasser University of Conakry-Guinea (2006-2010), CELPAD ( centre for languages and pre-university academic development) in international Islamic university Malaysia (2012-2014), second master in information technology in international Islamic university Malaysia (2015-2018).

Abstract

Bitcoin is a e-currency created by the computational result of blockchain technology. It is the world's first decentralized anonymous digital circulation which accepts online transactions without relying on any third-party institutions or government. Though, its technology is considered as one of the secure online ledgers with strong cryptography integrated payment systems in financial sector, it is still struggling to integrate banks and finances for payment and people are reluctant to accept its adoption. The aim of this study it is to investigate the influential factors such as perceived trust, perceived risk, self-efficacy, resource appropriateness and intention to use of its adoption in our daily use. Therefore, to address this gap, the research utilized a quantitative method survey built on previous theories of Technological Acceptance Model (TAM), Theory of Reasoned Action (TRA), Delone and McLean Information System Success Model and Self-determination Theory Model (SDT) to lift up the barriers of bitcoin implementation. We used a sample of 402 participants for the analysis where seven main variables and nine hypotheses got formulated and tested using the partial least squares (PLS) path modeling with SPSS. The result shows that the analysis of the data provided support for all the hypotheses and established a positive relation between variables and the findings obtained have both academic and practical worth in terms of Information Systems technology adoption for improving the understanding of factors influencing bitcoin adoption in banking and finance.

Biography

Mr. Sandeep G. Sawant obtained his bachelor degree in the department of Civil Engineering from KIT’S College of Engineering (Autonomous) Kolhapur and got his master degree in Construction Management from Government College of Engineering karad and pursuing his Ph.D in Civil Engineering (Retrofitting) in Shivaji University Kolhapur Maharashtra. He has 10 years of teaching experience and currently working as an Assistant Professor in department of Civil Engineering, KIT’S College of Engineering (Autonomous) Kolhapur, Maharashtra, India

Abstract

The experimental program included strengthening and testing 30 rectangular cross-section beams. Each beam was tested under reversed cyclic loading tested under a two-point loading system. The experimental results show that an increased strengthened RC beam load carrying capacity is observed to be in the range of 0 % to 25% for forwarding loading (Positive load) and 33.33 % to 66.66% for reverse loading (Negative load) and deflection is increased in the range 10.55% to 85.15% for forwarding loading (Positive load) and 17.73 % to 130.85% for reverse loading (Negative load) as compared to the control beam.

Biography

Abitha Memala W., PhD, is an Associate Professor in the department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India. She has obtained her PhD degree from Anna University, Chennai, India and has 16 years of academic experience. Her area of research includes, condition monitoring of electrical machine, Power Electronics & Drives, Renewable Energy and industrial automation. She is a life member of ISTE.

Abstract

The relevance of the renewable energy sources like solar photovoltaic, fuel cell, wind etc., is increasing in a rapid manner and they are widely used in the various types of applications like Mining areas, Islands, hybrid electric vehicle, micro grid and aerospace industries etc., Combination of more than one source is an effective way to provide efficient output for these applications. So the concept of hybrid energy system attains a major role in the field of modern power generation. Combinations Such as solar PV/wind, solar PV/battery, wind/fuel cell, ultra-capacitor battery, fuel cell/solar PV etc., are used for power generation. But for the best integration of these hybrid sources, a proper method of interfacing of circuit’s power is mandatory. This paper proposes the integration of solar-PV/battery hybrid system for PV Hybrid system application with a converter. This is Combination of Two Inputs dc sources with Isolated Resonant Converter with Zero Voltage Switching to get a Single output. The Simulation is done in MATLAB/Simulink platform and the results are presented.

Biography

I am currently pursuing my research in Plasmonic Solar Cells at Department of Electronic Science, University of Delhi. I have completed my Post Graduation in Nuclear Physics from C.C.S. University of Meerut. At present, I am working in Deshbandhu College, University of Delhi as a faculty in Department of Physics.

Abstract

Effective employment of metal nanoparticles for improved efficiency of solar cells is well demonstrated. Adoption of dielectric nanoparticles for enhancing the performance of plasmonic solar cells has also been reported in recent years. In this work, scattering of incident radiation by silica (SiO2) dielectric nanospheres has been presented for enhanced light trapping in ITO/c-Si based plasmonic solar cells. Scattering efficiency of SiO2 nanospheres of various sizes (250nm-400nm) deposited on the top of ITO/c-Si structure has been simulated using the open-source software MEEP (MIT Electromagnetic Equation Propagation) via finite-difference time domain (FDTD) simulation. Transmittance at ITO/c-Si interface and spatial distribution of electric field have also been investigated. Simulation shows that SiO2 nanospheres exhibit relatively high scattering efficiency over a broad region of the electromagnetic spectrum including near infra-red region. Also, scattering efficiency and transmittance of incident radiation into the absorber layer rise significantly with the size of SiO2 nanospheres leading to effective light trapping.

Biography

Salah-Eddine Bendimerad was born in Sidi Bel-Abbes, Algeria, in 1973. He received the Engineer and the Magister (Dr.-Eng.) degrees in electrical engineering from Djillali Liabes University of Sidi Bel-Abbes, Algeria, in 1995 and 2007 respectively. Since 2012, he is Lecturer at Department of Electrical Engineering, Djillali Liabes University of Sidi Bel-Abbes, Algeria. He got his Ph.D. degree in high-voltage in 2013 and became Assistant Professor in 2014 at the same University. His research interests include electrostatic and electromagnetic applications.

Abstract

In this study, the mutual inductance M of PCB coils was investigated, and an analytical method was developed for calculating the mutual inductance between two coaxial rectangular planar PCB coils. The results were acquired through calculations by using the Biot–Savart law. The complete integral calculations and the detailed demonstrations of this method is presented. The obtained formula was introduced in some code examples of coils with different number of turns. The analytical and experimental results were compared, and a strong agreement between them was observed.

Biography

BVNR Siva Kumar received the BTech Degree from K L College of Engg. and MTech from JNTUCE, Kakinada. He is currently pursuing the PhD degree under Amity University Madhya Pradesh, Gwalior. He had worked in Industry for 10 years and in Teaching from past 24 years. At present, he is working as Associate Professor of Electronics and Communication Engineering Department at Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh. He is the In-charge of LabVIEW Center Of Excellence. His current research interests include the modeling of Robotic systems and Human assisting devices. He published a patent on “Powered exoskeleton system and method for rehabilitation of foot/lower limb movements.

Abstract

In this paper, the process of selecting a material for the frame of Lower limb rehabilitation exoskeleton is discussed. Exoskeleton technology is fast developing and still it requires more to meet individual needs. Exoskeletons are made for Military, Industrial and Medical applications. In case of Military, they have to work in a harsh environment where as a rugged environment for industrial and sensitive environment for Medical applications. Exoskeletons could be “Human performance augmentation exoskeletons” for expanding physical abilities of Healthy people, “Assistive devices for individuals” with disorders like Neural Stroke, spinal cord injury, muscle weakness, and Post operative Patients and “Rehabilitation exoskeletons” for restoration. In specific, these are to be designed and fabricated by considering the patient condition for medical applications,. The design considerations should be of light weight, user friendly, maintenance free and should not be hazardous. These should be easily configurable for various applications. Rapid Prototyping, Mass customization and personalised design were proven in fields like Automobile, Consumer and Spare parts using 3D printing.

Lower limb Exoskeletons are mainly used to assist the people with walking difficulty. Rehabilitation exoskeletons are used to restore the people from GAIT disorders. Selection of a material for the fabrication of the exoskeleton frame is crucial. As exoskeletons are to be made as custom built with modification in specific parts during development, production and maintenance, 3D printing being used by various manufacturers and Research organizations. Apart from the conventional metals, the 3D printing materials Nylon, ABS, PLA, PET and Carbon Fibre were considered. Printing process is discussed with required settings as Infill percentage, shell thickness, Orientation of the part and selection of material.

Based on the parameter specifications of printing materials, application and availability, the above five materials are considered. The frame is designed in CATIAV5 and Finite Element Analysis was performed in Ansys WorkBench18. Also, Theoretical parameters are compared. Based on the results, suitable materials were suggested for different applications, duly considering the cost and durability.

Biography

Sharanabasava Patil is presently working as Assistant Professor in the Department of Civil Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, India. He received his BE in Civil Engineering and MTech in Transportation Engineering and Management from VTU Belagavi. He also worked as Quality Control Engineer in a Highway project.

Abstract

OGFC also known as porous asphalt is being used as surface course in flexible pavement since 1950. The advantages of using OGFC as surface layer are increase in permeability, good drainage properties and reduction in noise, slip resistance and enhanced surface friction. OGFC mix contains more quantity of coarse aggregates, small proportion of fine aggregates and it requires more percentage of binder content to produce the mix compared to dense graded mixes. Gap graded aggregates results in more air voids in OGFC mix. Polymer modified binder usage in OGFC mix showed improved performance. In this paper, research is carried out to decrease the cost of the mix using recycled concrete aggregates. Natural aggregates were replaced by recycled concrete aggregates (RCA) with increase in 10, 20, 30, 40, 50% using PMB-40 as binder and Arbocel fiber as stabilizing agent to reduce the drain down of the mixes. To assess the feasibility of RCA in OGFC Marshall Stability test to determine % air voids, Drain down test, Cantabro abrasion test and permeability test were carried out. Optimum Binder Content of both conventional and C&D replaced OGFC mix was determined by considering % air voids, Cantabro abrasion loss and drain down. From the laboratory investigation, it was concluded that 40% of natural aggregates can be replaced with recycled concrete aggregates in OGFC mix.

Biography

Ms. Arifa S. Tadvi completed a bachelor’s degree in Computer Science & Engineering from Pune University and perusing master’s degree in Computer Engineering from Mumbai University.

Since 2017, she has been with Yashwantrao Chavan College, where she is Assistant Professor in Department of Computer Science at Navi Mumbai. Her research interests focus on Deep Machine learning, Machine Learning, Security and Cyber Security.

Abstract

Due to the unavailable of proper vaccine of COVID-19 to control rather than cure, early and accurate detection of the virus can be a promising technique for tracking and preventing the infection spreading (e.g., by isolating the patients). This situation indicates to improve auxiliary COVID-19 detection technique. Computed tomography (CT) imaging is a mostly used technique for pneumonia because of its common availability. The application of artificial intelligence systems integrated with images can be a promising alternative for the identification of COVID-19. This paper presents a promising technique of predicting COVID-19 patients from the CT image using convolutional neural networks (CNN). The novel approach is based on DenseNet is the updated CNN architecture in the present state to detect COVID-19. The results outperformed 89% accuracy, with 90% recall showing good performance for the identification of COVID- 19.

Biography

Mr. S. Ravikumar is working as an Assistant Professor in Department of Computer Science & Engineering at Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India. He has 10 years of experience in teaching field. He is currently pursuing his Ph.D. His area of interests includes Data Science, Machine Learning and Artificial Intelligence.

Abstract

Stress is one of the key elements that influences the pleasant of our everyday life: from productivity and performance in production tactics to the ability of (civilian and army) individuals to make rational decisions. additionally, stress can prop-agate from one person to other operating in proximity or closer to a common goal, e.g., in an army operation or group of workers. actual-time evaluation of the pressure of people alone is, but, now not enough as know-how its source and direction wherein it propagates in a set of humans is equally if no longer greater crucial. Stress management in the place of job is a fact that maximum people should face for one reason or another and coping with its miles the important thing to long-term profession success. a few careers are more worrying than others. The principle reasons of workplace Stress appear like related to deficiencies within the management and corporation of work. Stress and culture aren't best predominantly visible in the industry however are visual, even within the service zone. typically, woman personnel will face Stress because of different factors which includes physical surroundings, organizational factors, private satisfaction and activity pride and many others. These studies have a look at explores the stressor and its control through employing a Structural Equation Modeling method. This look at is to discover the factors that motive stress for IT experts and to dis-cover a solution for it.

Technical Session

Biography

Engr. Marizen B. Contreras is a Registered Professional Industrial Engineer, a fulltime Associate Professor of the College of Engineering of the University of Batangas, Batangas City, Philippines. An MBA and MSME graduate and currently pursuing Doctor of Business Administration. Different professional organizations, local and international, recognized her scholarly works and vested her the following awards: Outstanding Paper Award recipient at WCBM 2018, Best Presenter Award at ICBELLP 2019, Best Paper Award at 5th HBP Faculty Research Forum and 13th NOCEI Research Forum 2019 and Selected Paper Award recipient at the WCBM 2019. She served as Session Chair at WCBM 2018 (Jeju National University) and 2019 (University of Kuala Lumpur). She also served as Keynote Speaker at the ICSTR 2019 (Hong Kong) and ICSTR 2020 (Seoul). She has published her research papers in the Kalingan Journal and Global Business and Finance Review 2018, a Scopus (Elsevier) indexed journal.

Abstract

The need for quality education is in demand nowadays and is parallel with the industrial companies’ efforts to level up their standards. The Electrical Engineering course which is an engineering steam that comprises study and understanding about electricity and electronics which main contribution to industrial applications is distribution of energy for different devices, design, and also the installation and monitoring of equipment to control engineering systems.

Understanding and developing the skills and concepts of the advanced process control (APC), distributed control systems (DCS), programmable logic controllers (PLC) and supervisory control and data acquisition (SCADA) for the Electrical Engineering course is challenging for both the trainers and instructors.

This paper showcases the hybrid instructional equipment for instrumentation and control systems, which is composed of laboratory equipment and laboratory manual that can be easily grasped by students to enhance their skills and knowledge about the course and which includes PLC ladder programming. This innovative method of teaching of instructional equipment is more effective compared to the conventional way of teaching with the supporting data gathered.

Biography

I am persuing my Masters in Pharmacy in field of Pharmaceutics from Shree Ram Murti Smarak College of engineering and technology Bareilly. I have completed my Bachelor's in Pharmacy from Mahatma Jyotiba Phule Rohilkhand University Bareilly in year 2019 . I am currently working on various projects with my Mentor S Akhtar Sir. I wish to start my carrer in Teaching Profession .

Abstract

Hair loss commonly referred to as alopecia or baldness, is the loss of hair on one's head or body. At the very least, the head is usually engaged. Hair loss can range in intensity from a tiny patch to the full body. Here we are discussing about alopecia with its classic and atypical forms. With the aid of this paper, we believe that certain natural medicines can treat alopecia without side effects. These multi-phyto constituent herbal extracts may cure alopecia either by offering dietary supplements or by serving as blockers of DHT and 5-alpha-Reductase.

Biography

Aparna Vodapalli is a Senior Application Architect with DXC Technology, Denmark with over 20 years of experience in IT software applications design, development and architecture. Lately, her focus has been into micro services based applications design, development and migration of traditional Java based applications running in various web serversto containers (Docker) while also focusing on continuous build integration and deployments.

Abstract

Technology is evolving at a very fast pace. One of the most common problems that any developer faces while developing an application is, the application may work in a localized environment. When the same application is deployed in production or migrated to a remote node the same application may not work due to the difference in the computing environment between the production and development. Also, developing the application is easy when it is divided into small chunks of code, these small chucks collectively called as microservices run on various virtual machines on the same host or a different host. In virtual machines as the resources are reserved, there is a high probability of resources being in an idle state. In this paper, we shall compare the performance of Container-based management systems and virtual machine systems in developing and deploying the applications.

Biography

Dr.Lokesh C is an Associate Professor in the Department of Electrical and Electronics Engineering, Vidyavardhaka College of Engineering, Mysuru, India. He received Ph.D in the stream of Electrical and Electronics Engineering Science from Visvehvarayya Technological University (VTU), Belagavi, India. His research area includes Low Power Analysis in Digital Communication System, Analog circuits, Digital Circuits.

Abstract

In a conventional Orthogonal Frequency Division Multiplexing (OFDM) based communication systems, the major deterrent factor which mainly impact over the efficiency of transmission is Peak to Average Power Ratio (PAPR) and it take place in the circuit due to the use of higher order linear amplifiers. This article mainly focuses on the iterative based algorithm for the minimization of PAPR in low power based OFDM module by a factor of 3 dB and for the clipping probability corresponding to10−2, and in comparison, with 5 dB equivalent for 10−5 resulting in asymmetrical minimum or no loss of symbols in code rate to achieve minimum signal to noise ratios (SNR). Lower rating of PAPR make the system to operate with improved efficient model of linear amplifier circuit, therefore for maximum minimization in power dissipation in transmitter by a factor of 3 at minimum SNR. Also, the algorithm used for the reduction of PAPR does not consists of any side data bits which are to be transmitted to the receiver module in order to perform decoding of information.

Biography

I am Siddhant Shrivastava, currently a PhD Scholar at Design Program IIT Kanpur. I have done my Masters from NIT Nagpur with Mechanical Engineering Branch and Engineering from Bansal Institute Bhopal. I have filed many patents and publish various research papers in National and International conferences. Recently I have won Gandhian award for the design & Development of ‘Multipurpose Proctoscope’. I am also awarded BIRAC BIG grant of 50 Lakhs Rupees for the PhD Project. My Area of Interest is Product Design, Biomedical Products, CAD, Frugal Innovation, TRIZ and Design Thinking.

Abstract

Hemorrhoids (generally referred as Piles) is a disease in which the veins in the anal canal and the lower rectum get inflated. This inflation in veins cause irritation, itching, pain and even cause bleeding inside and around the anal cavity. The growth of hemorrhoids can be internal or external depending upon whether the inflated vein is located inside the rectum or near the anal orifice. Stapled Hemorrhoidectomy is one of the most widely used surgical operation which uses Prolapse and Hemorrhoids (PPH) circular stapler for removing the internal hemorrhoids with the help of a circular blade and then it stapling the tissues around rectum area which stops bleeding. It helps in early recovery of the patient and the metallic staples comes out with sludge (human waste). The stapler currently used in the hemorrhoids surgery is needed to be disposed off after the operation. Patient has to bear the expenses of this single used surgical device. In this exploratory study, a reusable hemorrhoid circular stapler is realized by reverse engineering the current device and by using the concepts of frugal innovation to increase the usability of disposable staplers from single-use to at least 20 operations per cartridge. The reusability reduces the cost of operation exponentially. The new intervention produces satisfactory results on pre-clinical investigation studies

Biography

I am persuing my Masters in Pharmacy in field of Pharmaceutics from Shree Ram Murti Smarak College of engineering and technology Bareilly. I have completed my Bachelor's in Pharmacy from Mahatma Jyotiba Phule Rohilkhand University Bareilly in year 2019 . I am currently working on various projects with my Mentor S Akhtar Sir. I wish to start my carrer in Teaching Profession .

Abstract

Hair is a crucial component of a person's personality, and we use a variety of cosmetic items to care for it. Herbal formulations always have action and, in comparison to synthetics, have fewer or no negative impacts. The goal of this research was to assess the value of herbal hair oil in the treatment of common hair issues including baldness, alopecia, hair loss, grey hair, dryness, and dandruff.Rosemary oil, Cedarwood oil, thyme oil, chamomile oil, and tea tree oil, as well as carrier oils such as pumpkin seed oil, olive oil, coconut oil, and castor oil, are utilised in the formulation using a mechanical stirrer. To maintain proper sebaceous gland activity, all components provide important nutrients such as vitamin, antioxidant, protein, terpenoids, and many essential oils.

Biography

Kushala V M, Research Scholar, Sri Siddhartha Academy of Higher Education and Research, Tumkur. My area of Interest is Artificial Intelligence, Machine Learning, Deep learning, Ontology. I have extensive work experience working with well know companies. Currently working witn HCL technologies in Research and development team.

Am a research scholar under Dr. M.C.Supriya. Applying the concepts of Deep learning with agricultural domain to easy the production and health of the field is the main agenda of the research.

Abstract

Agricultural plays a very important role in the scenario of growing population with extent of cultivation land. Adopting new technologies helps in improvising the cultivation and the yield. Knowledge of data management and usage of data is the key technology that can be adopted in improving the agricultural practices. The knowledge of agricultural field can be captured and can be utilized with artificial intelligence techniques. Collaborating artificial intelligence with knowledge management technique like ontology helps in achieving a better goals. A study of these technologies and there implementations in the agriculture practices is briefed in this paper.

Biography

I am completed my M.Tech in Mechanical Engineering from Guru Jameshbar University of Science & Technology, Hisar Haryana, India. Have teaching experience of more than 4 years.Currently working as Assistant Professor in Mechanical Engineering Department of Ch. Devi Lal State Institute of Engineering & Technology, Panniwala Mota, Sirsa, Haryana. Interested research fileds are CNC laser cutting and automobile design.

Abstract

With the development of new software tools and their application in different fields, the development of safe and dynamically balanced ATV with the help of finite element analysis method attracts the growing competition in design of ATV roll cage. Finite Element Analysis is a high cost and time-devour technique, and simulating the issue statement is excessively time-consuming in the early stages of design. Perform a static stress study first to understand the adjustments that need to be made to the design. This will provide a simple simulation standard for the problem assertion that will take less time to compute; and then dynamic analysis will be used to assess the preliminary design's safety. Material collection, chassis and frame drawing, cross section determination, establishing roll cage strength requirements, stress analysis, and simulations to test the ATV against failure are all part of the design and development process. The impact force, loading point, mesh size dependence of generated stress, factor of safety and deformation all are investigated in the study.

Biography

Apeksha Jain is a Master of Engineering final year student at SGSITS, Indore. Her specialization is in Computer Engineering. Currently, she is writing her thesis on Underwater Image enhancement using Neural Style Transfer. She did a survey on various methods to improve the image quality of underwater images. She did her bachelor's of engineering in Information Technology. Her domain of interest is image processing and data science.

Abstract

In this paper, survey on different methods for enhancing quality of underwater images has been done. Underwater images comprises of blue or green haze. Presence of blue or green haze reduces understanding of the image. The goal is to help the researchers to understand underwater images clearly by removing green or blue haze from the images without losing important contents of the image. In order to achieve minimal content loss, the requirement of dataset is more. This goal makes haze removal a tedious task. To achieve this goal of obtaining enhanced underwater image neural style transfer has been proposed. Papers on methods like CNN, CycleGAN for removing haze from underwater images have been discussed. Further, different papers on neural style transfer have been studied. After studying all the ways to improve the image quality of underwater images neural style transfer has been proposed.

Biography

Dr. Roopa Belurkar is Assistant Professor in the Department of Chemistry, Parvatibai Chowgule College, Margao, Goa, accredited by NAAC with Grade 'A' (CGPA of 3.41 on a 4-point scale on the 3rd cycle), it was adjudged Best Affiliated College by Goa University at its Silver Jubilee celebrations in 2009 and was given the Best Educational Institute award by Business Goa in 2014. She received her BSc Degree (Chemistry), MSc degree in Inorganic Chemistry from Karnataka University, Dharwad, India. Further she received her Ph.D in Chemistry from Karnatak University which is one of the oldest and reputed universities in India. She was the recipient of the University Research Studentship while pursuing her Doctoral Research. She has done her research in transition metal Chemistry, and presently she is working on environmental aspects relating to primararily water and soil . She has published various papers in national and international journals.

Abstract

Pressmud is the compressed waste product from sugar industries which is obtained after the extraction and filtration of sugarcane juice from sugarcane . From every 100 tons of sugarcane that is crushed, approximately 3 tons of pressmud is obtained as a waste product. This waste product finds its application in numerous fields like energy generation as an alternate fuel, and also can be used as a compost for improving the soil fertility. Besides the use of pressmud is a good fertilizer which can enhance crop productivity .It is also used as a soil restorative agent and as a soil conditioner. Crude pressmud for analysis for the present research work were collected from ten sugar Industries in North Karnataka, India. In this work, the physical and chemical properties such as pH, electrical conductivity, moisture content, total carbon content, nitrogen, phosphorus, potassium and moisture were analysed, which led to the understanding that pressmud is rich in chemical composition and chemical formulation and hence finds its application as a bio-compost in agricultural fields to improve the nutrient balance of the soil.

Biography

Yashomati R Dhumal was born on February 1984 in Kolhapur city, Maharashtra , India. She received her Bachelor of Engineering (B.E.), from the Department of Electronics , from the Savitribai Phule University of Pune, Maharashtra in 2007 and then joined the Bharati Vidyapeeth's College of Engineering for Women ,Pune in the Department of Electronics and Telecommunication as an assistant professor in 2008.She completed her Master of Engineering (M.E.), from the Department of Electronics Engineering, from the Bharati Vidyapeeth (Deemed to be University)College of Engineering ,Pune 2014. She continued her study to Doctor of Philosophy (PhD) in the Department of Electronics at the the Bharati Vidyapeeth (Deemed to be University)College of Engineering ,Pune.Her research interests lie in the area of Image Processing and Machine Learning.

Abstract

Personality is a blend of the person's different traits and skills. They may be used for forensic control, recruiting screening, medical symptoms, and a variety of other purposes. Handwriting samples were used in lieu of a graphologist online system that may be helpful for personality analysis and writer identification. Graphology is the expression of the human brain's subconscious thoughts via handwriting. Handwriting analysis may indicate traits such as mental and emotional instability by looking at the patterns produced by the handwriting. On the other hand, determining personality, particularly when it comes to the law, is challenging since there is no benchmark or scale that can provide comprehensive analytical findings. This article introduces a novel technique for predicting personality from handwriting that is based on the merging of Gabor Filters with Deep Neural Networks (DNN). In terms of better accuracy and recognition, the findings reported in this article were achieved by applying Convolutional neural networks. The suggested method has an accuracy rate of 98 percent. The suggested system is able to extract deep features and is resilient.

Biography

Neeraj Kumar Jain is providing his services as an Assistant Professor at INSTITUTE OF TECHNOLOGY & SCIENCE, Mohannagar, Ghaziabad, UP, INDIA affiliated to CCS University, Meerut.

He has teaching experience of 13 years with UG & PG students of Computer Applications and Science. He is into research for the last 4 years and pursuing Ph.D at Bundelkhand University, Jhansi. Till now he has published few papers and articles in national & international conferences. His area of interest includes IoT, Smart cities, ITC (Intelligent Traffic Control).

Abstract

Developing an intelligent traffic monitoring and control system is a significant issue in solving the traffic congestion problem. In a traditional traffic light controller, the green light phase is constant irrespective of the traffic volume. A number of traffic-light-controller systems have been implemented in the literature, which decides the green phase based on the time of the day. These systems do not find the optimum time management for unsteady traffic. The objective of the method is to minimize the delays and to increase the throughput. This paper presents a traffic light controller system based on the Mamdani Fuzzy Logic system. The triangular membership function is used to fuzzify the length of the queue and the length of the green light phase. The rules are designed based on the protocol used by the traffic policeman. The method is compared with the traditional approach. The supremacy of the proposed fuzzy traffic control system is observed by measuring the time delay for both approaches.

Biography

Anjali Xess (B.Sc. in H & HA, MTTM) Assistant Professor, Chitkara University has total 14 years’ experience of working in Industry as well as in academics. She has contributed in research papers in Hospitality Sector. Recently presented paper at International Conference which got published in Journal of Physics-Conference Series. Her research interest includes heritage tourism, sustainability tourism. She continues to enjoy the opportunity to travel for pleasure and research purposes in India.

Abstract

The concept of female's solo traveller has become a relevant tourists segment. Despite recent changes, as visitors, these women are searching for journeys that will take longer than a trip from one location to another. They chose to search for adventure, freedom, a sense of personal fulfilment, individuality, and escape. They are not flying alone because they do not have a choice or because they are lonely. They are motivated by particular motives for consciousness. The survey of our study shows that women from almost all age groups have expressed their interest in travelling whether for leisure or business purposes. This study also helps to allow hotel owners and managers to make the required changes in order to focus more proactively on the future in order to meet the needs of female customers and to evaluate the quality and technological interface properly, as some SLTs have indicated their concerns about safety and security during the trip. Hotels should give priority to ensuring that their SLT guests feel safe and comfortable. Some of the respondents pointed out that hotel rooms were not up to the mark because they lacked the facilities required by the SLTs. Hotel designers should also reflect on the planning of in-room hotel facilities. The survey extracted the measures to be taken by those making their first solo trip. It was suggested that future travellers select those hotels to stay in Delhi that offer priority to women's safety and protection. Before planning any trip, the first and foremost thing to do is research the hotel in depth, the travel history of the place and the experiences of other travellers to get an idea of the location. Most of the ladies advised that they should send a location link to their guardian while travelling as it would be convenient for them to keep track of them. The findings showed that the only way to feel better when travelling is by careful preparation prior to travel, such as background checks, destination information and knowledge of the local language for interaction with other travellers or locals.

Biography

Dr. A.Suresh Rao, has rich experience of total 16 years, out of which 2 years of industry and 14 years of academic. He as completed his Ph.D. in Data Mining from National Institute of Technology, Warangal. He is ratified as a Professor by JNTUH, Hyderabad in the year 2007. He has published more than 8 papers in Various peer reviewed International & National Journals. He also has multiple Government Sponsored Research Projects under his belt. His area of interest is Data Mining, Deep Neural Networks.

Abstract

Heart diseases are one of most common diseases seen among the people of all age groups. Most of the heart diseases are caused due to the subject’s food and daily activities. Assessing the risk factor of a subject is based on various parameters. These parameters are taken into consideration by cardiologist in figuring out the risk factor of underlying cardio vascular disease. While this is a manual process and may lead to delay and negligence from a subject’s side. Also, many times the underlying symptoms are overlooked. These underlying different symptoms and parameters might not look risky while analyzing the risk factor of the subject but on whole such individual parameters and vitals on analysis on the whole have a potential to predict the underlying cardio vascular disease. Here we apply machine learning techniques to predict the risk factor of the subject. The calculated risk factor is correlated with the outcome risk rating of diabetic retinopathy of the subject.

Biography

I am currently doing my PhD in Computer Science & Engineering in Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai (2019 till now). I received my bachelor degree(B.E - Computer Science & Engineering) from Bharathiyar University through PSG College of Technology, Coimbatore and my masters in software systems from BITS, Pilani Rajasthan. My research interests focus on Deep Learning, Natural Language Processing and Machine Learning. I have published one review paper and working on new research related to Text Based Recommendation System using NLP.

Abstract

With Agile development getting attraction there has been huge increase in the need to do software application development in highly organized, process driven and efficient way. With DevOps there can be numerous ways in which the software development can optimized both in terms of quality and in terms of cost. Optimization of cost using our existing resources can be challenging. We can look at ways to optimize the cost using the DevOps methodology existing tools in the market

Biography

I'm Praise Earnest, graduated from Providence College of Engineering, Chengannur, Kerala, India and later worked as a Trainee Engineer in an oil and gas company. Now pursuing MSc in Civil Engineering from Universiti Teknologi PETRONAS, Perak, Malaysia.

I had attended international internships, undertaken major and minor projects which had worked the skills in me. My research area includes freestanding risers, fatigue damage, vortex induced vibration, hydrodynamic forces, wave loads.

Abstract

Freestanding Risers are vertical steel pipes clamped by a near surface buoyancy can. These risers are affected by a variety of loads that lead to fatigue damages. As a result, the goal of this study is to anticipate the stresses experienced by freestanding risers subjected to hydrodynamic loads. The Morison equation was used to compute the wave and current loads operating on the risers in this work. The pipe diameter D, the wave height H, the wave period T and the water current Uc are the essential parameters explored. The study's findings demonstrate that the maximum stress on the risers is affected by wave height, wave period, pipe diameter, and water current.

Biography

My name is Shubham Warne. I have obtained a B.E degree in Mechanical Engineering from Mumbai University and now pursuing M-Tech in Cad/Cam & Robotics from K.J.Somaiya College of Engineering. My research shows how we can build a rescue boat which will be used to rescue livestock's which can be operated using IOT concept because now a days all the companies are using AI technologies.

Abstract

There are by and large three sorts of watercraft, in-land (utilized on lakes and streams), in-shore (utilized closer to shore) and off-shore (into more profound waters and encourage out to ocean). A rescue lifeboat may be a watercraft outlined with particular highlights for searching, protecting and sparing the lives of individuals in peril at ocean or in estuaries. In the United Kingdom and Ireland rescue lifeboats are typically vessels manned by volunteers, intended for quick dispatch, launch and transit to reach a ship or individuals in trouble at sea. Livestock rescue is one of the most important issue faced by rescue teams during flood. Livestock due to their size and weight are difficult to carry through boats. Also, no special craft is present to carry them during flood. This leads to loss of livestock lives in flood. Literature review was done on the animal searched and rescued operations during disaster. Small boats liked jon boats were useful to rescued small sized livestock liked dogs, hens, etc. but for livestock liked cattle and buffalos, ropes and lifebuoys were utilized and escorted out of water. Finally, in this paper we have discussed about the various parameters of rescue boat which will be used to rescue livestock during flood disaster. Also, we have discussed about the materials which will be used to design such kind of boats along with the information of fabrication in the later part of the paper.

Biography

Ashwani Kumar is an architect by profession. He passed out of esteemed Jamia Milia Islamia University with a Bachelor in Architecture. Further he honed his skills in architecture by doing a Masters in town planning from Institute of Town Planners, India. The Prestigious Astronomy Research center on the banks of Shipra river at Ujjain is one of his design thesis . He has contributed in planning of Greater Noida for about 20 years as an architect. Under which he specializes in Rain water harvesting. His quest for technical upskilling for rainwater harvesting landed him at Amity University for a Doctoral Study and currently he is student of the University.

Abstract

Ground water is the most reliable and replenish able resource which can be put into direct usage without much processing. The city of Greater Noida, like many other Indian cities uses ground water as the source for its domestic, commercial, industrial and agricultural purposes. Thus, this water surplus area turns into over exploited. As more and more villages turn into urban, its recharge surface reduced considerably and rainwater whatever received is flowing into drains without much recharge to ground water. The time series analysis of the ground water levels indicates corresponding depletion of water levels. This, coupled with increase in population forced authorities to drill more and more deeper wells in the area to cater the needs of the population and evolved industries. If this kind of ground water extraction and thereby lowering of water levels keeps on unabated there will be serious water crisis in the near future and enforcing additional stress to coming generations. The solution is refilling the extracted water to the aquifers through artificial means. Artificial recharge to aquifers can be possible by effectively harvest rainwater and send to aquifers by several available methods. This study suggests a three-tier system for rainwater harvesting for augmenting ground water levels. These levels of interventions are on different scales. Some of the rainwater harvesting methods needs to tackle on a city level and some others are on house hold level. Thus, three levels of rainwater harvesting are city level, community level and house hold levels of rainwater harvesting. Thus, a need of scale-based methods and practices are required for the city. City developments need to be water sensitive. All policies and infrastructure development need to have a line item on water resources, its conservation and prevention from getting polluted. Traditional water harvesting methods and sites need to be preserve along with newer methods of rainwater harvesting. The increase in impermeable surfaces has been created water logging on one side and scarcity of ground water on the other side. To mitigate these issues rainwater harvesting and augmentation of ground water levels are planned in three levels. On a city level, rainwater can be harvesting and used for augmenting ground water levels by reviving traditional percolation ponds, constructing recharge pit all along the major transportation network specially areas where water logging experiences and by proper usage of storm water. On a community and house hold levels roof top rainwater harvesting and its immediate usage and overflows to be used for recharging the ground water is suggested. This study also details a model for roof top rainwater harvesting. Maintenance procedure of artificial recharge structures are also explained here in this study.

Biography

Houari BOUDJELLA was born in Ain Temouchent, Algeria in 1981. He graduated in Electrical Engineering from Djillali Liabes University of Sidi Bel Abbes, Algeria in 2004 as electrical engineer, received the Magister degree in Electrical Engineering from the same University in 2008, and the Ph.D. (Engineering) from the University of Sciences and Technology Mohammed Boudiaf USTO-MB, Oran Algeria in 2021. Presently, he is serving as assistant Professor in the Department of Electrical Engineering, Kasdi Merbah University, Ouargla, Algeria since 2013. His research interest includes power system operation and planning, soft and evolutionary computing, Intelligent Methods for Power System optimization and Smart Grid planning, FACTS devices.

Abstract

Optimal power flow (OPF) is a non-linear complex optimization problem where the steady state parameters of an electrical network need to be determined to find a stable operating point with an economic, technical and environmental context. The complexity of the problem increases with the presence of constraints in the problem. In this paper, a hybridization between Particle Swarm Optimization (PSO) and Bat algorithm (BA) as population-based algorithms abbreviated as HBAPSO have been proposed and applied to find optimal solutions with different objectives of OPF. The proposed approaches is tested on a standard IEEE 30 bus system incorporating distributed generator units for several OPF objectives such as fuel cost, emissions, voltage deviation, voltage stability and power losses. Single objective and weighted sum multi-objective cases of OPF are studied under the scope of this paper. Simulation results are analyzed and compared with most recent studies on the problem.

Biography

Dr. Nurdiana Mulyatini, SE, MM. is a Lecturer at Galuh University, one of the best universities in the East Priangan area, West Java Province, Indonesia with a home based Management Study Program. Bachelor's education from Muhammadiyah University of Yogyakarta and completed Doctoral Education in Management Science at Pasundan University, Bandung. His field of expertise is in the Human Resources field and has produced many works related to the field of Organizational Behavior and Management in the Public Sector as well as various works in the field of General Economic Studies, as well as writing in National and International Journals.

Abstract

Since Covid-19 was established as a pandemic, many sectors were affected including small and medium industries. This study provides an overview of the efforts made by small and medium enterprises to minimize the negative impact of a pandemic on business continuity through financial literacy. The purpose of this study is to determine the extent of business actors' financial knowledge which includes budgeting decisions, profit allocation, savings, credit and investment decisions. The research method used is quantitative analysis with an explanatory survey approach to 100 MSME actors. The results showed that the financial literacy of business actors was still low, as indicated by the difficulty of financial management in the midst of a pandemic that caused losses and disrupted business stability. The conclusion of this study shows that financial literacy has a positive effect on financial decision making and promotes long-term economic growth.

Biography

He was born in Kano state, Nigeria. He had National Diploma and Higher National Diploma in Computer Science (equivalent to BTECH) 2008. He also had Postgraduate Diploma in Computer Science from Bayero University Kano, 2012. He had Master of Technology in Computer Science and Engineering from Lovely Professional University, India 2014. He specialized in Computer Vision. He also had Bachelor Degree in Computer Engineering from International University of Management Administration, Benin 2017. He is an associate member of Computer Professional Registration Council of Nigeria, and a member of Nigeria Computer Society. He had taught for more than a decade and presently a lecturer in Department of Computer Science, Federal College of Agricultural Produce Technology. He is presently the Head of ICT/MIS unit of the college.

Abstract

This Paper explains the Human Body Parts Detection, application and importance. Several Human Parts are detected using Viola - Jones Algorithm. Matlab is the tool used to implement the algorithm. Several Human Faces, eyes, Noses, Mouths, and Upper bodies were detected using the algorithm with high precision. The algorithm is efficient and robust.

Biography

Atmeshkumar S. Patel -is working as Assistant Professor in P.G. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Marathawada University, Aurangabad Maharashtra India. His qualifications are B.E (ECT), M.Tech. He is pursing Ph.D. at Dr. Babasaheb Ambedkar Marathawada University; Aurangabad He has presented and published papers in National and International Conferences. His areas of interest include Wireless Mobile Ad hoc network, Embedded System Design, IoT, and Artificial Intelligence.

Abstract

In this modern era of Artificial Intelligence (AI) and Internet of Things (IoT) which are acknowledged as the most significant areas of upcoming technology and is gaining attention from a wide range of different fields like Military application, Automation of Industries, Smart irrigation and Agriculture, e-learning platform of Education, The pandemic Tele health services, etc. IoT is a combination of different network like Wireless sensor network and Mobile Ad hoc Network. In these networks the limited Battery power is very serious issue. Maintaining connectivity for the longer time is also a big challenge considering the self-organizing nature of the network topology and the dynamic change in the behavior and position of nodes result in failures of communication link and node availability. This research paper present the kinetic energy harvesting Dynamic source of Power to supply the energy to the node battery, so that the failure of communication network will be avoided and hence it maximizes the life of Mobile Ad hoc network for the reliable communication in critical situation like Military operation and Emergency rescue operation. The overall focus of this research is to handle the challenges in MANET for prolong life of MANET. The paper deals with an analysis and experimental tests on a push to generate generator known as a Dynamic Source of Power has a built-in linear moving- coil generator with stationary magnet A Lithium-ion battery is charged to supply the power to the nodes of MANET. Analytical equations for the induced EMF, current, voltage, electromagnetic force and power have been derived. A prototype has been made and performs experimental tests on it. The results of laboratory tests have been compared with analytical calculations. The output electric power in comparison with other energy harvesting devices is high with low cost and more reliability.