R. Suguna, M. Priya, B. Charuhasan, M. Dhakshnamoorthy, R. Kumar, K. L. Prabha
{"title":"Enhancement of Solar Output with Dual Axis Solar Tracker using Arduino","authors":"R. Suguna, M. Priya, B. Charuhasan, M. Dhakshnamoorthy, R. Kumar, K. L. Prabha","doi":"10.1109/ICPECTS56089.2022.10046812","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10046812","url":null,"abstract":"Collection of Sun's energy at the maximum level can be simply possible by using the tracking system. The proposed network aims in tracking the direction of highest radiation angle of sun's beam. This is done by fixing the panel with the geared motors embedded with sensors and controllers. Two servo motors are controlled by the c program embedded in the arduino controller and the LDR sensor. This method gives high output when working with tracker than without tracker and gives high efficiency. This can be applicable in simple low voltage systems where the complex techniques and algorithms cost more. The output power of the system with tracker and without tracker was studied. The voltage and current characteristics of the system with tracker and without tracker for different time period from morning to evening was found and drawn.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123501867","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}
V. K, K. P, S. S, Saranya S, S. G, Sankari Subbiah
{"title":"Cloud Assisted IOT Enabled Forest Fire Detection System","authors":"V. K, K. P, S. S, Saranya S, S. G, Sankari Subbiah","doi":"10.1109/ICPECTS56089.2022.10047712","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047712","url":null,"abstract":"Forest fires tend to happen in wild areas as a result of human negligence and environmental change. They harm the environment and may result in the deaths of humans and wild animals. As a result, forest fires must be detected early in order to avoid further damage. Many existing systems, such as satellite networks, CCD cameras, wired systems, and Bluetooth technology, may provide a comprehensive view of the biosphere, but only after an extensive scan period. This method is ineffective because it only identifies forest fires after they have already started. The cloud assisted IoT enabled technique was proposed as an alternative to traditional forest fire detection methods. The Adafruit cloud server stores all of the real-time analysis values, which are collected with the help of the sensor nodes The Internet of Things is used for a range of functions, including habitat surveillance, intelligent systems, agricultural sectors, security and smart manufacturing. This proposed system consists of a system for measuring temperature, light intensity, and quality of air in order to avoid a disaster (forest fire) that would lead to a substantial reduction in the natural threads. Several tests were performed in this project to demonstrate the system's viability.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170093","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":"Comparative Study of Various Cloud Service Providers: A Review","authors":"Anurag Choudhary, P. Verma, Piyush Rai","doi":"10.1109/ICPECTS56089.2022.10047594","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047594","url":null,"abstract":"Cloud computing refers to a location in which information can be accessed remotely. By storing files and apps on remote servers, cloud service providers allow their customers to access them via the Internet. This implies that the user does not need to be at a specific location to obtain access to it, allowing them to work remotely. In addition, Cloud computing offers several advantages and problems to small, medium, and big businesses. Any corporation, whether in the financial, technological, or engineering sectors, may discover a valuable cloud component for the organization's demands. There are various cloud service providers that exist in the present market and are highly sought after by enterprises to meet their demands, but Amazon Web Services, Oracle Compute, Microsoft Azure, Google Cloud Platform and IBM Cloud are the most extensively utilized. The aim of this review paper is to present a comparative study of the various cloud service providers with respect to the pricing model, compute services, storage services, key cloud tools, database services, networking services, management services, and security services. Furthermore, its key benefits and drawbacks are also present so that it becomes easier to select the most appropriate one for deployment and research development.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745107","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 Survey of Circulating Tumor Cells Segmentation and Classification Algorithms","authors":"K. S, R. S","doi":"10.1109/ICPECTS56089.2022.10046779","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10046779","url":null,"abstract":"Circulating tumor cells (CTCs) are very small cells carried around the body in blood circulation. CTC is the origin for metastases which denotes the tumor cells move from the original location to other organs or parts of the body over blood circulation. The early detection of CTC cells is used for patient risk assessment and to appraise treatment outcomes. Recently, image processing-based solutions have received more achievement in the field of medicine. CTC detection in the micro-scope image requires more effort due to its size and intensity. This work surveys various image processing algorithms used in CTC detection. Also, reviews different machine and deep learning models used in medical image segmentation and classification.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127712421","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 CNN based Multi Classification of Respiratory Disease using X-Ray Images","authors":"S. Varalakshmi, V. P, R. V","doi":"10.1109/ICPECTS56089.2022.10047331","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047331","url":null,"abstract":"COVID-19 debuted in Wuhan, China on December 19, 2019. In a brief period, deadly virus now migrated to practically every country. To avoid the causative agent COVID-19 disease, governments implement a number of strict restrictions, notably prohibiting people from leaving their homes. This paper focused on detecting and classifying disease such as viral pneu-monia, covidand normal from x-ray images using deep learning methods along with pre-trained models. Moreover, validation accuracy of CNN model attained around 91 % while performing layers in neural network. Several investigations examined that identifying disease of covid reached more accuracy around 98% with hybrid and other algorithms without removing noise from particular images. But this work mainly focused on normalizing images to make the computation very efficient, convergence faster too.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234222","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 Conceptual Analysis on Lithium ion Batteries in the Field of Energy with its Limitation and Future Perspective","authors":"Keren Persis P, R. Geetha","doi":"10.1109/ICPECTS56089.2022.10047404","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047404","url":null,"abstract":"Lithium-ion batteries have attracted unprecedented attention for the past three decades because of its dominant power source in portable electronics and it is regarded as primary battery technology for Electric Vehicles. This paper will analyze the expedition of lithium-ion battery from its structure, electrodes, cathode, anode, separators, energy storage capacity, device stability, life span, cost and energy efficiency analysis, applications, advantages and limitations of battery with future perspective","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130724989","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":"Onsite maintenance identification of loose connections in battery set and testing connected with fire Diesel Pump generator","authors":"B. Rubini, S. P. Kumar, G. Kumar, D. Tharunkumar","doi":"10.1109/ICPECTS56089.2022.10047638","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047638","url":null,"abstract":"Switch gear robustness has a significant impact on power distribution system efficiency. The engineering factors that influence fire safety performance in commercial and government buildings have been investigated. During project work, all factors such as building structure, fire prevention compartments from damage, impression on people's evacuation routes, control design for being on fire, and further stable fire protection facilities are considered for fire safety design. The fire safety of commercial and government buildings is frequently impacted by renovation engineering. This article summarizes the Diesel fire pump, Battery, and Water pumping system classifications, as well as the factors influencing fire performance.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133417145","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}
M. Nalini, R. Gayathiri, A. V, Aishwarya Lakshmi. G, Harini. D
{"title":"Automatic Optimized Voice Based Gender Identification for Speech Recognition","authors":"M. Nalini, R. Gayathiri, A. V, Aishwarya Lakshmi. G, Harini. D","doi":"10.1109/ICPECTS56089.2022.10047573","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047573","url":null,"abstract":"In Today's world ecommerce and advertisements sectors becomes very crucial also unavoidable in this scenario identifying gender of a person is important to make ourselves safe and secure. This project identifies gender of a person, by using features of their voice and processing these features using various machine learning algorithms. For this purpose four different types of popular classifiers were used and showed their accuracy. Popular classifiers used here is Random forest MLP neural network, CHAID decision tree and XGBOOST using these classifiers the voice can be classified as male or female. Using XGBOOST classifier the accuracy attained is 99.621 which is highest accuracy when compared to other classifiers.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115585253","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}
Raadha Krishnan, Mekala Sanmitra, P. Saravanan, V. Madhanrai, L. Shankaralingam, S. Sivamani
{"title":"Numerical Investigation on Enhanced Aerodynamic Performance of a Bus using Vortex Generators - Air Tab and Shark Fin","authors":"Raadha Krishnan, Mekala Sanmitra, P. Saravanan, V. Madhanrai, L. Shankaralingam, S. Sivamani","doi":"10.1109/ICPECTS56089.2022.10047081","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047081","url":null,"abstract":"3D flow structures around bus models are computationally analyzed to understand the influence of vortex generator on bus body aerodynamics. The aerodynamics of a vehicle are extremely important since they influence the vehicle's overall performance. As the vehicle is moving on the road, various forces act on an automobile, such as drag and lift force, is a part of vehicle aerodynamics research. One of the primary causes of aerodynamic drag for automobiles is the flow separation at the vehicle's rear end. It is feasible to improve fuel economy by lowering the drag force. This research uses five identical bus models, four with VGs and one without. The purpose is to examine the effects of two types of vortex generators (Air-tab and Shark-fin) in terms of drag coefficient (Cd) and flow pattern developments by mounting the VGs at the rear end of the bus. The flow around the vehicle is considered to be incompressible. It is calculated using the incompressible Reynolds Navier-Stokes equations and k-ε turbulence model. Base Bus model, bus with top Shark-fin VG, bus with top Air-tab VG, bus with Shark-fin VG on 3 sides, bus with Air-tab VG on 3 sides. During the analysis, the bus is subjected to various inlet velocity ranges, ranging from 25m/s to 50 m/s, with an interval of 5m/s. The simulation results show a 7.898% reduction in coefficient of drag (Cd) from the bus model with Air tab vortex generators on 3 sides at 25 m/s.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115677154","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}
Banu Priya Prathaban, M. Jenath, Subash Rajendran, S. Surya
{"title":"ALow Cost QuArm Band for Controlling Contagious Diseases","authors":"Banu Priya Prathaban, M. Jenath, Subash Rajendran, S. Surya","doi":"10.1109/ICPECTS56089.2022.10047664","DOIUrl":"https://doi.org/10.1109/ICPECTS56089.2022.10047664","url":null,"abstract":"In the recent times it is found that there is a growing interest in the field of controlling the contagious diseases, especially after the outbreak of the novel COVID-19 (coronavirus). It still remains to be one of the biggest threats to humanity and people are dying and getting infected on a daily basis. Governments across the globe are trying their level best to contain the virus. They are also taking the necessary steps (e.g., travel bans, suspension of recreational and outdoor activities concerning mass audiences or public, isolation and contact tracing, social distancing, etc.). There are many patients who are undocumented just because they have coronavirus in their systems but they show no symptoms. Around 79% patients come under this category. It is to be noted that the total count of the number of cases at present in several countries differ from the actual people who are infected at present. This is because in the maj ority of cases, the symptoms show after a certain period of days and not just instantly. Also testing the whole population of a country in such a limited time is simply not possible. The World Health Organization recommended COVID-19 patients to isolate themselves from the healthy individuals in order to stop the spread of the disease. In order to ensure that this happens more efficiently and smoothly, in this paper an IoT based wearable band called QuArm band (i.e) Quarantine Arm band, which the patient can wear on his/her arm for tracking the real-time location of the patient to ensure that the quarantine rules are being followed is designed. This band is made keeping in mind the requirements of the public and the cost is set accordingly. Web interface alongside the band is made to retrieve the information. Notification on band tampering is also enabled.","PeriodicalId":103068,"journal":{"name":"2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905906","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}