R. Kavin, V. Gowri, M. Naveenaa, T. Navishree, J. Nithish
{"title":"Wireless Power Transmission in Electric Vehicle Using Solar Energy","authors":"R. Kavin, V. Gowri, M. Naveenaa, T. Navishree, J. Nithish","doi":"10.1109/ICSPC51351.2021.9451697","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451697","url":null,"abstract":"Wireless Power Transfer [WPT] using the magnetic induction technology which could avoid humans from the hazardous accident caused due to the using of cables. We improve power transfer efficiency between the coils by using MOSFET (metal oxide semiconductor field effect transistor) switches in the inverter. Due to this higher frequency, the charging of the battery will be fast and high efficient. This will enhance the EV driving experience. By introducing WPT in an electrically powered vehicle, the barriers of charging time, range, and price can be easily controlled. The WPT era is developing rapidly in recent years.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115783287","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":"Congestion Control Scheme for Efficient Energy (CCSEE) in Mobile Adhoc Networks","authors":"G. N. Rao, D. Veeraiah","doi":"10.1109/ICSPC51351.2021.9451721","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451721","url":null,"abstract":"MANET- collection of movable nodes connected together wirelessly in a self-configured manner in the absence of stable framework. Consequent movable of nodes will leads to higher energy consumption for the network. Higher energy utilization come about packets rebroadcasting and continual packet loss. The primary objective of the adhoc wireless network is to make sure more energy efficient [1]. To impart minimal energy utilization and to shrug off longer congestion, model for energy consumption and routing for multipath schemes are needed. A Congestion Control Scheme for Efficient Energy (CCSEE) is proposed to prevent congestion and improve energy efficiency of network. By simulation, the proposed scheme accomplishes minimal energy consumption, little PLR, high PDR, low end to end delay and overhead than ACLMRP, CLTMRP schemes.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125273068","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":"Four Port hybrid-converter based on a photovoltaic system and the piezoelectric effect","authors":"B. Balaji, U. Sathishkumar, R. Subathanan","doi":"10.1109/ICSPC51351.2021.9451781","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451781","url":null,"abstract":"For DC-DC power conversion, a bidirectional DC-DC four-port converter is used. The force converter is equipped with two complete scaffold converters (one filling in as inverter and other as rectifier). This bidirectional direct current–direct current converter is well-suited for electric car applications. The proposed geography has the advantages of being a simple circuit geography with delicate exchanging execution without the need for additional gear, strong proficiency, and ease of control. This feature makes the converter attractive for medium- and high-power applications, especially in energy unit vehicles and force era, where high force thickness, ease of use, light weight, and high reliability are expected of power converters. A PIC Micro Controller is used to generate beats that are used to power and monitor MOSFETS devices using the PWM method. The PWM technique is used to reduce the circuit's harmonics.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"38 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133256116","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. Nagaraju, P. Ashok babu, B. Sadgurbabu, Rajeev Ratna Vallabhuni
{"title":"Design and Implementation of Low power FinFET based Compressor","authors":"V. Nagaraju, P. Ashok babu, B. Sadgurbabu, Rajeev Ratna Vallabhuni","doi":"10.1109/ICSPC51351.2021.9451693","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451693","url":null,"abstract":"Compressors are the essential supplements of Full adders and half adder in any multiplier design. Compressors play a vital role in reducing delay and increasing the overall performance of a multiplier. In this paper, various compressors such as 5:3, 10:4, 15:4 and 20:5 are designed and implemented in Cadence virtuoso tool at 180nm technology. Later on, the compressor was designed using FinFET technology. The designs in both technologies were simulated, and their performance was compared. Simulation analysis depicts that the compressor designed in FinFET technology will show less power consumption than CMOS technology.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133410176","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}
Kiruthiga Devi M, D. M S, Vimal Kumar V, Martina Jaincy D E, Kalpana R A, Sanjai Kumar R M
{"title":"FARMER’S ASSISTANT using AI Voice Bot","authors":"Kiruthiga Devi M, D. M S, Vimal Kumar V, Martina Jaincy D E, Kalpana R A, Sanjai Kumar R M","doi":"10.1109/ICSPC51351.2021.9451760","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451760","url":null,"abstract":"In the year 2020,agriculture contributes about 19.9% of India's GDP and employed about 60% of the country's population which makes it important part of the country's economic growth. Till 2018, it was about 15.41% only but now it has been increased with the help of the latest technologies like IOT,AI,CHATBOT etc. The proposed system is a mobile application which was developed to assist the farmers by two ways, the voice bot and the suggestion bot. To respond the farmer's queries in the multi-language, we have created an agricultural multi linguistic voice bot using Google translator,pysttsx3 and Google search engines. Also, we have the suggestion bot to give a versatile suggestion to the answer of farmer's query related to weather, crop, fertilizer, soil etc. Using this mobile application, farmers will progress towards better farming practices and increase the agricultural production.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248154","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}
S. Budhiraja, S. Agrawal, B. S. Sohi, Neeraj Sharma
{"title":"Effect of Pre-processing on MST based Infrared and Visible Image Fusion","authors":"S. Budhiraja, S. Agrawal, B. S. Sohi, Neeraj Sharma","doi":"10.1109/ICSPC51351.2021.9451647","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451647","url":null,"abstract":"Image fusion combines information from multiple images in a single image to increase the information processing capabilities. Infrared and visible image fusion is finding a lot of applications these days, as it brings complementary information from the source images in one image. The performance of image fusion is affected by noise and artifacts, which tend to creep in during fusion process. Pre-processing of source images is generally done to improve the quality of final fused image. In this paper, a general framework for fusion of infrared and visible image is proposed for investigating role of pre-processing on quality of image fusion. Various arrangements of image enhancement and denoising techniques are used to investigate the role of pre-processing in improving the efficiency of image fusion. The subjective and objective performance evaluations show that joint use of denoising and enhancement improves the performance of infrared and visible image fusion.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134471410","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":"CNN-Bi-LSTM Based Household Energy Consumption Prediction","authors":"Kshitij Gaur, Sandeep Kumar Singh","doi":"10.1109/ICSPC51351.2021.9451797","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451797","url":null,"abstract":"Driven by technological advances, there is a increase in electricity-based equipments and this leads to excessive energy consumption (EC) and demand for power every day. To enhance power management and collaboration between electricity used in a building and the smart grid, the EC must be predicted. Forecasting techniques used for prediction of the energy accurately are limited due to challenges like dynamic behaviour of residents and climatic condition. So, to conquer such challenges we proposed a deep learning based methodology. The proposed methodology uses hybrid model consisting of CNN and Bi-LSTM for predicting EC. The performance of the proposed methodology is tested using publically available real dataset. Test results shows that the proposed methodology are able to predict the consumption with very small error. The proposed methodology helps in management for producing optimum amount of power.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130367357","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}
Harivansh prasad Sharma, R. Agarwal, M. Pant, S. Karatangi
{"title":"Self-directed Robot for Car Driving using Genetic Algorithm","authors":"Harivansh prasad Sharma, R. Agarwal, M. Pant, S. Karatangi","doi":"10.1109/ICSPC51351.2021.9451804","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451804","url":null,"abstract":"The big issue with a human driving car is traffic, with the current continuous growth in the world population. The second big issue with the growing population is creating huge chaos, which leads to accidents. Every year nearly 1.35 million people lose their lives due to traffic crashes, and 20 to 50 million face serious injuries with some untreatable disability as of their road injury. Over 80% of accidents happen due to driver error. Other issues are the efficiency of the car as we are slowly transforming into the electric car. This paper introduced car with the self-driving feature using Genetic Algorithm to reduce the traffic with route optimization, and by reducing traffic, so that many problems related to driving can be solved. It minimizes the rate of an accident and also maximizes the efficiency of the car.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"646 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116091166","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 Novel Modelling Technique for Early Recognition and Classification of Alzheimer’s disease","authors":"Dinu A J, M. R.","doi":"10.1109/ICSPC51351.2021.9451803","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451803","url":null,"abstract":"A new algorithm is proposed in this paper using combined point detection based feature extraction methods like SURF, FAST, BRISK, Harris and Min Eigen for early prediction of various stages of Alzheimer's disease An analysis of the proposed method is done by combining it with Random Forest and Tree Bagger classifiers and the performance parameters are evaluated. From the experimental results, the classification accuracy obtained when random forest classifier is used is 98.42% and the classification accuracy obtained when Tree Bagger classifier is used is 98.17%. The random forest classifier provides more accuracy rate with high sensitivity and specificity when compared to Tree Bagger classifier. The new method is flexible to both classification and regression problems. Also it works well with both categorical and continuous values. From the experimental results, the proposed algorithm is found to be superior to the methods which uses single feature extraction and feature selection methods which are developed for the prediction and classification of Alzheimer’s disease.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124768040","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}
Padmashri. R, S. Srinivasulu, J. R. Raj, J. J, S. Gowri
{"title":"Perceptual Image Hashing Using Surffor Feature Extraction and Ensemble Classifier","authors":"Padmashri. R, S. Srinivasulu, J. R. Raj, J. J, S. Gowri","doi":"10.1109/ICSPC51351.2021.9451816","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451816","url":null,"abstract":"Image hash regimes have been widely used for authenticating content, recovery of images and digital forensics. In this article we propose a new algorithm for image haunting (SSL) with the most stable key points and regional features, strong against various manipulation of content conservation, including multiple combinatorial manipulations. In order to extract most stable keypoint, the proposed algorithm combines the Speed Up Robust Features (SURF) with Saliency detection. The keyboards and characteristics of the local area are then combined in a hash vector. There is also a sperate secret key that is randomly given for the hash vector to prevent an attacker from shaping the image and the new hash value. The proposed hacking algorithm shows that similar or initial images, which have been individually manipulated, combined and even multiple manipulated contents, can be visently identified by experimental result. The probability of collision between hacks of various images is almost nil. Furthermore, the key-dependent security assessment shows the proposed regime safe to allow an attacker without knowing the secret key not to forge or estimate the right havoc value.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121718193","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}