Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India最新文献

{"title":"SEPIC Converter based Solar Charger using PIC Microcontroller","authors":"V. Geetha, D. Marshiana, C. Vinothkumar, P. Prince","doi":"10.4108/EAI.16-5-2020.2304109","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304109","url":null,"abstract":". The production of Electricity is one of the largest blessings that were given by the science to mankind. It has also become a component of the present life and one cannot imagine a world without it. The need for electricity to work with electronic gadgets and electrical appliances for our day to day life increases drastically. To reduce the utilization of energy from electricity board, solar power is used. The aim of this work is to design and optimize the solar charger which increases its capacity of solar energy using SEPIC converter. The SEPIC converter allows and maintains the constant dc output voltage. This technique is analyzed by using a PI controller and the optimization of power and its performance is carried out by PIC microcontroller. The importance of SEPIC converters and its application in the field solar charger used in industrial and home appliance were analyzed","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999493","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":"Bionic Eyes for Visually Impaired Using Deep Learning","authors":"Dahlia Sam, K. Jayanthi, I. Jacob, N. Kánya, Shekaina Justin","doi":"10.4108/EAI.16-5-2020.2304024","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304024","url":null,"abstract":"Today’s world is a cluster of elegant creations made by God and men. Most of us are lucky enough to experience those wonders. It is not the same with the ones who cannot experience these mysteries, who cannot feel or make a visual of what is in front of them. It’s a challenge to survive in this world without sight. The blind have to manage without even being able to make a proper shape and picture of what’s in front of them. If technology can come to their aid, it would be a boon. This paper focuses on using deep learning to help the visually impaired draw an image in their minds using spectacles with a built in camera, which narrates the visuals or happenings around them through voice. This smart spectacles acts as the sixth sense for visually challenged people through which they can lead an independent life.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115704884","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":"Data Analysis on Student Proficiency Conjecture and Course Selection Assortment","authors":"A. Jovith, D. Saveetha, Dheeraj Sharma","doi":"10.4108/EAI.16-5-2020.2304208","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304208","url":null,"abstract":"Conventional online instructive frameworks still have weaknesses when contrasted with a genuine study hall education, for example, absence of logical and versatile help, and absence of adaptable help of the introduction and input, absence of the agreeable help among understudies and frameworks. Likewise, they depend on the live information and anticipate the out comings dependent on that. This does exclude information of understudies in a foundation concentrating for some earlier years. This poses a problem for any learning and predictive algorithms to work on them. This work intends to assist the students in articulating their subject, club, project, internship, job preferences. In addition to student profiling, the venture additionally gives counsel to understudies with respect to how the profiles might be utilized to improve their scholastic and quantitative aptitude. In this regard, it is trusted that the profiles will give a valuable device to enable understudies to build up their employability. The profiling framework monitors the learning exercises and connection history of every individual understudy into the understudy profiling database model. In light of this model and along these lines the work demonstrates dynamic learning plans for individual understudies.Data analytic tools, classification techniques, and algorithms will be used to predict the outcomes of the student subject choices. Data (marks and interests) of the students will be classified into clusters upon which self-learning, predictive algorithms will be implemented to cater to students interests and needs. Regression techniques like map reduce will be used to segregate and classify data into definite datasets. It works on these four dimensions like input, comprehending, preparing and understanding. This paper gives the best way to use collaborative filtering strategies for understudy execution forecast. These strategies are frequently utilized in recommender frameworks like Netflix. The essential thought of such frameworks is to use the similitude of users dependent on their evaluations of the things in the system. We have chosen to utilize these procedures in the instructive condition to foresee understudy execution. We compute the comparability of understudies using their examination results, shown by the evaluations of their recently passed subjects.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811802","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":"Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review","authors":"A. U. Nandhini, K. Dharmarajan","doi":"10.4108/EAI.16-5-2020.2304019","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304019","url":null,"abstract":". An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately. causes due to family heredity and environment factors. The family history shows a higher risk of diabetes in close family members. The classification is used to predict the diabetes results in accurate manner. The moto of analysis tasks were to understand the concepts of Predictive algorithm which is used to anticipate diabetics.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125815113","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":"Deep Learning Based Smart Survilance Robot","authors":"V. Ganesan, Smritilekha Das, Tamal Kumar Kundu, Prof. Naren.J, S. Bushra","doi":"10.4108/EAI.16-5-2020.2304191","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304191","url":null,"abstract":". Surveillance Robot aims to blend IoT capabilities with the support of cloud and machine learning is an advancement to deliver a sophisticated solution for real time security. Industrial and commercial surveillance data security is required for small camera as well as large scale deployment with a drones or robot cars. This paper deals with face recognition using AWS Rekognition and video streaming using AWS kinesis and AWS SNS(Simple notification Service) . AWS Rekognition uses deep learning algorithms to introspect the video stream and find objects / faces on them and compare it with the collection of information that it has trained previously. It detects face with video feed and scans the database to identify the person with AWS Rekognition ,there is also an option of adding new faces by uploading photo of the person to an S3 bucket and face can be indexed . ,","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528979","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":"An Efficient Machine Learning Model for Location Aware Credit Fraud and Risk Classification and Detection","authors":"V. Muthulakshmi, C. Saravanakumar, A. Tamizhselvi","doi":"10.4108/EAI.16-5-2020.2304200","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304200","url":null,"abstract":". Online transaction grows in enormous rate because of the strength of usage by the user. User always use online mode to pay the amount to the respective merchant. Various method of payment is available in the market but credit card is so popular due to the pre credit is assigned to the customer by banker. Card user gets extra time for paying the payment which gives comfortable live to them. Security of the card suffers in various factors such as theft, fraud, illegal access, so it is protected by using modern algorithm with automated capability. Artificial Intelligent algorithms are applied to detect the fraud but that is not achieving enough accuracy. This type of problem is overcome by using location based risk identification model with multidimensional features for analysis. Three phases of processing is carried out namely feature management, risk management and Location awareness. The focus of the model is to protect the credit card frauds in multi level security by identifying the source and location of access. It achieves high level of security when compared to all exiting algorithms with reliable manner.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121494185","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":"HYDROGEN HYBRID MACHINE","authors":"D. Ramya, R. Basha, M. L. Bharathi","doi":"10.4108/EAI.16-5-2020.2304104","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304104","url":null,"abstract":"This work is focuses on the working system, which runs on both mechanical energy (engine), and electrical energy (motor) and to conserve fuel in tank by using the sustainable resource hydrogen thus the system will be working on hydrogen, petrol and Ni Mh cell. As a result, to make a working system which runs on both mechanical energy (engine) and electrical energy (motor)[1,2,3,4].","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128044449","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":"Corrosion Characterization of Friction Stir Weld Joints of Dissimilar Aluminum Alloys","authors":"K. Ramesha, P. D. Sudersanan, N. Santhosh, S. Jangam","doi":"10.4108/EAI.16-5-2020.2304097","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304097","url":null,"abstract":"Friction Stir Welding is a solid state welding process used in aero-space, automobile and machine tool industry. However, corrosion of the friction stir weld zones is still a major drawback that needs to be addressed immediate-ly; hence the current work focuses on the corrosion characterization of the fric-tion stir weld joints of dissimilar aluminium alloy. In the present research, fric-tion stir welding is carried out at different set of parametric conditions and the weld joints are characterized for weight loss corrosion in sodium chloride saline medium. The friction stir weld joints of dissimilar aluminium alloys are ob-tained using three sets of process parameters viz., tool profiles of straight cylin-der, taper cylinder, and straight triangular; tool rotational speed of 800 rpm, 1000 rpm, and 1200 rpm; tool feed rate of 100 mm/min, 120 mm/min, and 140 mm/min; tool offset of 0.5 mm, 0 mm, and -0.5 mm. The corrosion characterization is carried out for friction stir weld joint using immersion tests. The results give an overview of the variation in the corrosion with time, and the effect of process parameters on the corrosion behavior of weld joints.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"393 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790426","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":"Dynamic Blackhole Grayhole detection for IoT devices connected using DTN","authors":"Afroze Ansari, M. Waheed","doi":"10.4108/EAI.16-5-2020.2304036","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304036","url":null,"abstract":"IoT based connections are common in new era of communication and henceforth, an over sight of analysis is required to be viewed on challenges occurred under transmission channel. In this paper, a new technique is developed to assure the safer transmission of data via IoT devices connected using Delay Tolerant Network (DTN). Typically, the technique aims to detect blackhole and Grayhole attack and hostage nodes to assure early detection. The technique is first of its kind in IoT devices. The experimental results of technique are evaluated using a real-time IoT MSP431 module and the result demonstrates an accuracy of 96.07% of detection under a 64 cluster node environment of WSN.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130896787","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":"Roof Pond with Intermittent Pumping as Passive Cooling alternative for Reinforced Cement Concrete Roof Top Slab","authors":"Sanjay Lipare, Nagaraj Patil, S. Patil, Avinash Podtar","doi":"10.4108/EAI.16-5-2020.2304098","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304098","url":null,"abstract":"RCC roof slab retains more thermal energy when it is exposed to sun-light. This increases the room temperature. The increased temperature creates unacceptable thermal comfort to the occupants. In this paper, authors are investigating the effect of suggested passive cooling method to reduce the storage of thermal energy into the RCC roof slab. The roof exposed to sunlight is the most critical part of residential buildings. Indoor residential do not provide thermal comfort to occupants during peak summer, which creates an undesira-ble effect on occupant’s ability to function properly. Mechanical cooling devic-es like air conditioners are not environment-friendly and energy sustainable. The response time of the passive cooling system to irradiation remains slow. This is a desirable behaviour to control thermal variations which in turn moderates thermal loads concurrently. The author’s proposed the open pond with intermittent pumping which achieves the thermal comfort. The authors' seminal efforts are to design the passive cooling roof slab with minimal use of energy and further directions for the sustainability of energy systems, impact on day to day activity.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132912480","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}