{"title":"Automatic Employability Test for Factory Workers using Collaborative Filtering","authors":"Ahona Ghosh, S. Saha","doi":"10.1109/IBSSC51096.2020.9332221","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332221","url":null,"abstract":"With the quick increase in world-wide population, need of automation is getting increased in every field. Employability tests are often used to check the ability of an experienced or fresher employee to work in a team and also their skill, to know how their actions can impact others. In this context, automated employability test for factory workers will motivate people to stay employable in the labor force of the future and help the organizations to perform recruitment process in an efficient manner. In this paper, we have proposed an automatic employability test platform using Collaborative filtering where similar and best matched activities have been recognized first by the use of item-based-collaborative filtering and then based on the performance of similar activities done by similar subjects, the ranking of employability has been determined for unknown workers using User-basedcollaborative filtering. If the ranking is higher than a previously defined threshold, the subject is said to be appropriate in the scenario and his/her employability is confirmed, but if the ranking is less than the threshold, then the subject is asked to practice more and take the next assessment of employability. To deal with the difference in body structure and habits of doing same action differently at first, we have considered the mean of the rankings of seven different activities and then weighted rank has been calculated to take the inter personal similarity into account. The proposed system is a novel work in this domain and outperforms the other existing works also.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Smartphone Controlled Experiment to determine the Energy Band Gap of a Semiconductor using Novel Graphical Techniques","authors":"Abhijit Poddar, Monali Poddar","doi":"10.1109/IBSSC51096.2020.9332211","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332211","url":null,"abstract":"A smartphone or a tablet running on Android has been used to control an experiment to determine the energy band gap of a semiconductor. The smartphone is interfaced with the experimental circuit through a cheap microcontroller. A dedicated android application has been developed to help the user perform the experiment by acquisition and plotting of the data in real time. Curve-fitting and novel graphical techniques have been employed to determine the energy band gap, bypassing the need to use expensive electronic instruments. The graphs may be plotted on a virtual e-graph paper mimicking an actual graph paper on the smartphone screen. Since the user may not touch any instrument except his own smartphone while carrying out the experiment, chances of acquiring Covid-19 inside the laboratory would also have been reduced.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129999545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kowshik Kolvekar, Sahil Lotlikar, M. Naik, Ashwin Faldesai, Yeshudas Muttu, M. Colaco
{"title":"Cayenne based Plant Monitoring Control System","authors":"Kowshik Kolvekar, Sahil Lotlikar, M. Naik, Ashwin Faldesai, Yeshudas Muttu, M. Colaco","doi":"10.1109/IBSSC51096.2020.9332186","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332186","url":null,"abstract":"India is the world’s major producer of various agricultural materials like fruits, vegetables, pulses, etc. Tomato is the most widely cultivated crop in India making it the most profitable agribusiness. Until industrial revolution, almost two-third of the human residents depends only on farming. For major development & solidification of India’s agriculture, research and extension system is one of the most vital needs for agricultural development. If agriculture is to be safe, healthy & sustainable, it is essential to have healthy crops as they play an important role in generating sufficient quantities of healthy foods & contribute to the quality of life. Hence, for the increased production, suitable evaluation of crop disease in the field is very critical. Tomato horticulture farmers face lots of problems out of which leaf disease is of major concern because it happens at the earlier stage of the plant growth and if not treated on time it can destroy the full cultivation. This paper focuses on monitoring the tomato crop plantation and tomato leaf disease classification using image processing techniques and artificial neural networks. With this system farmer will now be able to view his farm and will be able to take control actions based on the measured parameters stored onto the cloud making the system very efficient.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"690 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116956934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research-ready, Technology-set, Deployment-go: the role of blockchain in peer-to-peer energy trading","authors":"Kevin Joshi, G. Trivedi, Pratyaksh Maru","doi":"10.1109/IBSSC51096.2020.9332220","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332220","url":null,"abstract":"The source of end-user electricity demand is shifting from centrally located conventional power plants to a mix consisting of distributed renewable energy. Consequently, the grid infrastructure is undergoing a transformation to accommodate the intermittent injection of renewable energy, reduce losses and improve consumer engagement. Such a bidirectional exchange of energy and information, in a modern electricity grid, shows the appropriateness of data-driven and ICT based smart solutions for efficient resource utilization. One such intervention gaining world-wide traction with assorted objectives of cost minimization, utilization of locally generated renewable energy, peak reduction, etc. is peer-to-peer (P2P) energy trading. The research community and pilot-scale commercial deployments considerably focus on blockchain as an enabler of P2P energy trading. Therefore in this work, we analyze state-of-the-art from research publications and pilot/commercial deployments of P2P energy trading using blockchain. Further, the analysis is used with Technology Readiness Level (TRL) framework to classify the existing solutions, challenges and future directions in application of blockchain for P2P energy trading.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wearable Computing Enablement for Smart Health","authors":"Abdul Hannan Satopay, Saurabh Mehta","doi":"10.1109/IBSSC51096.2020.9332187","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332187","url":null,"abstract":"The technology advancement that we see today can provide much more benefits in a wide variety of ways. A lot many of this technology has been explored, but for some technology such as an accelerometer, we have only touched the base. Much data is available through the accelerometer, and this data can help in changing the lives of many people. In this report, a system is proposed that take benefits of the data provided by the accelerometer to give actionable information related to three major areas such as sleep monitoring, posture monitoring and pedometer. These three areas have a significant role to play in an individual’s health and lifestyle. Consider work or home, young or mature; everyone can make use of this information and make data-driven decisions. At the same time, the prototype allows the device to be connected to the world wide web giving the live time feedback and update so that any decision which will be made will be through the real-time data. Along with these three major areas, additional features such as temperature monitoring and custom alarm have also been added to showcase the capability that such a technology can provide thanks to the modular approach that is being followed. In the end, through performing testing, it concludes that such a system is feasible and the data it provides is relatively accurate and can help an individual improve the lifestyle.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121130635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrated Technological Tools for Effective Blended Learning","authors":"D. Lakshmi, M. Lakshmi","doi":"10.1109/IBSSC51096.2020.9332223","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332223","url":null,"abstract":"Higher Education of India encourages blended learning in the universities by introducing a wide range of online courses. Presently, India is good at integrating Information and Communication Technology (ICT) which enables educators and learners to adopt blended and flipped teaching and learning in the classrooms. This unexpected COVID-19 pandemic situation doubles the leverage of technology and stimulates teachers and students to go online. This research paper explores various technological tools for effective blended teaching and learning. When online classes are started students and teachers are apprehensive but gradually engrossed in this uncanny situation to resume the process. In the course of the journey, how effectively these technological tools are used to recommence the studies are the objectives of this paper. The students’ performance records were assessed as a measure of quality learning through the tools. The research was conducted in order to identify the students’ adaptability to the present situation as well as blended learning. The research has focused on specific technological tools like Google Classroom, Docs, Slides, Sheets, Forms, Hangouts, Meet, etc for teaching and learning and assessments. The results of the students show that blended teaching and learning is an effective approach by using technological tools.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117206852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rohit Bhimte, Kalyani Bhole-Ingale, Pritesh Shah, R. Sekhar
{"title":"Precise Position Control of Quanser Servomotor using Fractional Order Fuzzy PID Controller","authors":"Rohit Bhimte, Kalyani Bhole-Ingale, Pritesh Shah, R. Sekhar","doi":"10.1109/IBSSC51096.2020.9332216","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332216","url":null,"abstract":"Sophisticated automation is dependent upon industrial robots with precise position control servomotors. In the present work, a fractional order fuzzy PID controller (FOFPID) was designed to improve the position control response of a rotary servo system. The control errors and their fractional derivatives were applied as input scaling factors to the fuzzy logic controller (FLC). Fuzzy inference system (FIS) was employed to restrict performance indices in control signals. FOFPID performance for a Quanser servomotor was compared against PID, fractional order PID and fuzzy PID (FPID) controllers in terms of both simulations and hardware implementation. The controller performance evaluation metrics included time domain characteristics such as rise, peak, settling times and over / undershoots. The integral absolute and integral time absolute errors were also evaluated for comparisons among the different controllers. Results establish that only the FOFPID controller achieves zero percent over and undershoots. It also attains better set point tracking over other controllers. Thus, FOFPID controller is the key to precision robotics in the smart factories of tomorrow.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123199031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-Linear Spectral Unmixing: A Case Study On Mangalore Aviris-Ng Hyperspectral Data","authors":"Dharambhai Shah, Y. Trivedi, T. Zaveri","doi":"10.1109/IBSSC51096.2020.9332215","DOIUrl":"https://doi.org/10.1109/IBSSC51096.2020.9332215","url":null,"abstract":"Due to the low spatial resolution of the sensor, multiple scattering and intimate mixing at the ground, the majority of the pixels in the hyperspectral image are of mixed type. In this case, spectral unmixing is used to decompose this mixing effect. From the literature, it is clear that non-linear unmixing is more accurate and robust compared to linear unmixing. In this paper, we take a Mangalore dataset captured using Airborne Visible/ Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) camera to compare various non-linear unmixing. The paper presents and extensive comparison of various endmember extraction algorithms and abundance estimation algorithms. The performance of algorithms was assessed using two quality metrics (Spectral Angle Mapper and Reconstruction Error). Three types of experiments were carried out; endmember extraction accuracy assessment, testing of abundance estimation efficacy and comparison of linear and non-linear models. The simulation results conclude that Energy-based Convex Set (ECS) and Polynomial PostNonlinear Model (PPNM) give accurate results on the considered study site for endmember extraction and abundance estimation respectively.","PeriodicalId":432093,"journal":{"name":"2020 IEEE Bombay Section Signature Conference (IBSSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}