2022 International Conference on Computer, Power and Communications (ICCPC)最新文献_第2页

High step up converters with EMI filters for Renewable Energy Resources 用于可再生能源的带EMI滤波器的高升压变换器

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072052

K. Dinesh, Abitha Memala

引用次数: 0

A Deep Reinforcement Learning based policy gradient for Energy Consumption in Edge Computing 基于深度强化学习的边缘计算能耗策略梯度

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072146

G. Saranya, E. Sasikala

引用次数: 0

VSCODE- Code With Voice Using Natural Language Processing(NLP) 使用自然语言处理(NLP)的语音代码

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072106

M. Prakash, A. Ponmalar, S. Deeba, A. Akilandeswari, S. Rasool, P. Lavanya

引用次数: 0

Organic Farming in Drainage Systems with Advanced Automation through Robotics and IoT 通过机器人和物联网实现先进自动化的排水系统中的有机农业

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072248

Althaf Shaik, Nafisa Badruzaman, Devadharshini Gajendran, Geethalakshmi M, J. Anand

{"title":"Organic Farming in Drainage Systems with Advanced Automation through Robotics and IoT","authors":"Althaf Shaik, Nafisa Badruzaman, Devadharshini Gajendran, Geethalakshmi M, J. Anand","doi":"10.1109/ICCPC55978.2022.10072248","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072248","url":null,"abstract":"Wastage of water is huge in India. A report from the Central Water Commission shows that India gets as much as 4,000 billion cubic meters of precipitation, yet just 8% of that is conserved efficiently. As per Composite Water Management Index (CWMI) report almost 600 million individuals, which is practically half of the nation's population, are confronting water scarcity issues. At the same time, the aggregate sum of the farming area started to decline on the grounds because of its utilization for metropolitan, rural, and business advancement. If this condition continues, there will be no agricultural land in the future for growing crops. There is currently no Internet of Things (IoT) application being introduced in drainage basins for crop production for smart agriculture. The efficient cultivation of crops in the drainage basin with the aid of IoT and robotics will have a significant impact on sustainability measures. The usage of the principle of buoyancy for growing crops on the drainage basin is an innovation that makes an impact in saving water. For the healthy growth of crops in the drainage basin, the water quality parameter is monitored continuously using IoT devices. This proposed method includes a Fe6 capsule which is eco- friendly to absorb the dirt present in the water. This paperwork gives the possibility of “Organic farming in drainage system with advanced automation through robotics and IoT” in which robotics is included in automation.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358601","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}

引用次数: 0

Machine Learning Based Smart Social Media Mining for Disorder Communication Detection 基于机器学习的智能社交媒体挖掘无序通信检测

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072247

S. Sajithabanu, A. Ponmalar, R. Dhanalakshmi, R. Lakshmi, M. Vivitha, Harish Anantha Krishnan R

{"title":"Machine Learning Based Smart Social Media Mining for Disorder Communication Detection","authors":"S. Sajithabanu, A. Ponmalar, R. Dhanalakshmi, R. Lakshmi, M. Vivitha, Harish Anantha Krishnan R","doi":"10.1109/ICCPC55978.2022.10072247","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072247","url":null,"abstract":"Social Media are gaining momentum in this digital era. Data is being shared on social media on random intervals across the world. The Population of the persons in social media has overcome the population of certain countries of the world, which implicates the growth of the social media at this juncture. Any news or posts in the social media can be so trending that the post get viral within fraction of time, thus attracting the attention of the other persons. Whilst this can be taken in the positive account, precautions have to be taken to avoid the social media being misused. Any news or posts related to hatred, spread of misappropriate content relating to religion, sex, countries or borders, or any other news that can harm or spread hatred towards any community or people has to be stopped, else it may create havoc or damages of property or a brand that can affect the lives and the reputation of many. This paper puts out a novel approach to identify those mental disorders communication from the social media accounts by using machine learning approach.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150554","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}

引用次数: 0

Review and Analysis on Network on Chip 片上网络技术综述与分析

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072109

G. V. V. Rao, A. Kavitha, P. Arthy

引用次数: 0

DeepNap: An Efficacious Fuzzy Expert Model to Previse Type 1 Narcolepsy and Type 2 Narcolepsy DeepNap:一种有效的模糊专家模型来预测1型和2型嗜睡症

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072055

Pasupuleti Baskaran Lakshmidevi, J. Josy, R. Ramesh

引用次数: 0

Design and Parameter selection of E- Vehicle 电动汽车的设计与参数选择

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072127

S. Gomathi, F. Gnanaraj, M.R. Faridhabanu, M. Vengadapathiraj, R. Kamalakannan, M. Arthy

引用次数: 0

Hyphema Eye Disease Prediction with Deep Learning 利用深度学习预测前房积血眼病

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072218

C. Rekha, K. Jayashree

引用次数: 0

Fabrication of Arsenic (III) Nano Sensor After Optimising by Glassy Carbon Electrode 经优化的玻碳电极制备砷(III)纳米传感器

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072293

C. V, V. G, S. M., H. R, S. K

{"title":"Fabrication of Arsenic (III) Nano Sensor After Optimising by Glassy Carbon Electrode","authors":"C. V, V. G, S. M., H. R, S. K","doi":"10.1109/ICCPC55978.2022.10072293","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072293","url":null,"abstract":"Contamination and toxic waste are acting the most important role in horrible health threats. Water, the greatest important object for lifetime and is used up without the awareness of impurities. Arsenic - III beyond 10 micro grams per liter (µg/L) is considered as toxic to natural lifespan which roots lung cancer or skin melanoma and cardiac disease, mutagenic hazardous effects. Impurity of Arsenic takes place in ground and oceanic water may perhaps healthiness risk towards marine living things. Arsenic purification needs severely approved in all methods for water decontamination. The existing - conventional methods are bulky, costly, time consuming and need chemist to operate. An extraordinary system for the calibration for recognizing of arsenic impurity limits in water were tested by GCE- carbon glassy electrode modified by Gold-Au in 0.55 Moles of Sulphuric acid. Au- gold atoms were deposited on GCE for enhancement using Steering voltage uninterruptedly applying from −0.599 to 0.599 V in 0.55 Moles of H2SO4 & HAuCl4.3H2O - Sulphuric Acid & Chloro Auric Acid solution in the chemical setup on the stirrer. The strip was tested by Pulse Differential Voltammetry, CV-Cyclic Voltammetry, LSV- Linear Sweep Voltammetry, CSV - Cathodic Stripping Voltammetry and Anodic Stripping Voltammetry (ASV). After optimization, the fabricated sensor strip was succeeded a LOD as 0.2 measures per Billion (ppb) with 10 seconds of transformation at −0.94 V whereas the Maximum Contamination Level (MCL) of Arsenic by WHO-World Health Organization is 10 ppb (10 µg/L) in drinking water. Finally, the fabricated Nano sensing screen printed feeler strip was also examined for many bulk metal pollutants detection like Lead, Silver, Gold, Bismuth and Copper in water by DPV Mode at a time. Lab On Chip - LOC user friendly system was developed for bulk metal pollutants. It facilitated faster, cheaper, portable, automated, user friendly and precise detection.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131309170","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}

引用次数: 0