2022 International Conference on Computer, Power and Communications (ICCPC)最新文献_第5页

A Comprehensive Review on Gas Leakage Monitoring and Alerting System using IoT Devices 基于物联网设备的气体泄漏监测与报警系统综述

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072144

P. Naveen, K. Teja, K. S. Reddy, S. M. Sam, M. D. Kumar, M. Saravanan

{"title":"A Comprehensive Review on Gas Leakage Monitoring and Alerting System using IoT Devices","authors":"P. Naveen, K. Teja, K. S. Reddy, S. M. Sam, M. D. Kumar, M. Saravanan","doi":"10.1109/ICCPC55978.2022.10072144","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072144","url":null,"abstract":"Over the past three decades, gas leakage is a major problem in the households, hotels, street shops, industries, apartments etc. The number of deaths due to the explosion of gas cylinders has been increased in recent years. The main idea of this paper is to compare different articles worked on the gas detection, to save people lives and their property from the fire accidents. There are several methods to stop the accidents due to the gas leakage that is to install the gas leakage detection system which can automatically detects the gas and helps to stop the gas leakage. The gas detection system detects the LPG, using gas sensors and to monitor temperature in different places. The gas detection system is built using Gas Sensor, Arduino Uno and some output devices. Due to this gas leaking the houses, apartments, industries, big buildings will be in risk because of the fire exposures. Mainly, the gas detection system is used for sending SMS to the user or authorized person that he can take immediate actions like turning off the gas valve from the cylinder and call to the fire station while fire is exposing. When the gas is leaking the buzzer gives a beeping sound that indicates the fire is detected. This system opens the windows, doors automatically when the gas is leaking and then GSM alerts the users that the gas is leaking by sending a notification to their mobile. Mostly fire accidents occurred because of the poor quality of rubber tube in gas cylinders. The gas supply from regulator to the burner may be on even the regulator is in off condition due to blocks in burner or leakage of gas pipes. When the gas leakage goes high it turns ON the LED to indicate and makes an alarm with the help of buzzer. Most of the system used 16×2 LCD display for this problem. An LCD displays the gas leakage result. This paper discussed about the future problems due to the gas leaking and the development in gas leakage.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"38 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":"114727987","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: 1

Early Lung Cancer Prediction using Correlation and Regression 早期肺癌预测的相关与回归分析

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072059

K. Sivanagireddy, Srinivas Yerram, S. S. N. Kowsalya, S.S. Sivasankari, J. Surendiran, R. Vidhya

引用次数: 2

Investigating of Bi-Directional converter for hybrid renewable energy for a grid-connected and isolated load system 并网隔离负荷系统混合可再生能源双向变换器的研究

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072043

Karthikeyan Nagarajan, Anbarasi G.D Jebaselvi

{"title":"Investigating of Bi-Directional converter for hybrid renewable energy for a grid-connected and isolated load system","authors":"Karthikeyan Nagarajan, Anbarasi G.D Jebaselvi","doi":"10.1109/ICCPC55978.2022.10072043","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072043","url":null,"abstract":"Even though both developed and developing countries now have a better idea of the types of energy they can expect to access in the future, they are investing more time and resources into researching and developing renewable energy sources of all kinds. The work involved in producing, and dispersing load is substantial. Hybrid renewable energy systems, which include battery backup, have proven to be a productive area of study and development all over the globe. Most of the studies' primary attentions are on hybrid renewable energy systems. Wind and solar power are two renewable energy sources with great promise and real-world applications. Wind resources in India are plentiful, and the country also has excellent solar potential. The hybrid system's most notable difficulty is maintaining consistent voltage. A synchronous generator is desirable due to its low maintenance requirements and high mechanical durability. The Bi-Directional Converter A hybrid system is analyzed here; it is used to share power between a standalone load and the grid. This system is powered by a combination of solar and wind energy. The PWM inverter is used to make the asynchronous generator's voltage output more consistent. The work is simulated with the help of MATLAB simulation tools.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"98 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":"124951168","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

Bioimpedance MR Scanning For Hypertension and Functional Experience 生物阻抗磁共振扫描高血压和功能体验

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072065

R. Kalaivani, B. Gopi, D. Ravikumar, J. Premalatha, V. P. Srinivasan, S. Renukadevi

{"title":"Bioimpedance MR Scanning For Hypertension and Functional Experience","authors":"R. Kalaivani, B. Gopi, D. Ravikumar, J. Premalatha, V. P. Srinivasan, S. Renukadevi","doi":"10.1109/ICCPC55978.2022.10072065","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072065","url":null,"abstract":"Present anatomy detection solutions generally use data mining techniques to use large annotated datasets to learn how anatomy is detected. These solutions are subject to various constraints, including the use of suboptimal techniques in function development and the influence of technologically inappropriate anatomy detection search schemes. To deal with those problems, a process pursuing a new model in which the identification problem is reformulated as an artificial agent learning task is suggested. The anatomy model and object study with deep strengthening learning with the capabilities of multi-scale image processing in a single behavioral context are integrated. This approach tested over 1 million image slices, demonstrating that, although it increased detection precision by 20–30 percent, it dramatically outperformed state-of-the-art solutions to identify different anatomical constructions without loss from a clinical acceptance perspective. By 2–100 magnitude orders for the detection speed in comparison methods, guaranteeing that large three-dimensional scans produce unparalleled real-time performance is strengthened.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"19 1 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":"130062259","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

A New Shunt Hybrid Active Power Filter Configuration Research and Implementation for Enhancement of Power Quality 一种提高电能质量的新型并联混合有源电力滤波器结构研究与实现

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072093

J.S. Linda Johnsana, R. S. Kumar

引用次数: 0

Energy Management in a smart community using deterministic approach at varying load demand 基于确定性方法的智能社区变负荷需求能源管理

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072075

Ayushi Shrivastava, P. Paliwal

引用次数: 0

Modified Modular Multilevel Inverter topology for Photovoltaic Applications 光伏应用的改进模块化多电平逆变器拓扑

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072123

Ragul Duraisamy, Thiagarajan Venkatraman

{"title":"Modified Modular Multilevel Inverter topology for Photovoltaic Applications","authors":"Ragul Duraisamy, Thiagarajan Venkatraman","doi":"10.1109/ICCPC55978.2022.10072123","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072123","url":null,"abstract":"Solar power plant replaces the conventional power generation due to the development of recent technologies and climate change. So, there is a need for appropriate inverter topology for integrating solar Photovoltaic system with the grid. Multilevel Inverter (MLI) is suitable for power transformation, which overcomes the limitations of square wave inverter such as Harmonic distortion, higher voltage stress and Electro Magnetic Interference (EMI). This paper proposes a seventeen-level modified asymmetrical inverter topology to convert DC power which consists of solar photovoltaics, fuel cell or battery to AC power for industrial and domestic loads. The proposed topology composes of nine IGBT semiconductor devices, one bidirectional switch and four asymmetrical solar PV System to produce seventeen level staircase type waveform and it is identical to sinusoidal shape. The pulse for the switches is produced by Nearest Voltage Level (NVL) algorithm which shows higher efficiency and reliability compared to other PWM techniques at the higher levels. The proposed topology for Solar PV system is validated by simulating in MATLAB/Simulink and harmonic spectrum of output current and voltage are analyzed. The Total Harmonic Distortion (THD) of current (I) is 0.35 % and voltage (V) is 1.33 % which follow IEEE519 standards.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"23 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":"126447130","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: 1

Gastric Disease Determination Using Advanced Deep Learning 利用高级深度学习确定胃病

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072249

K. Sangeetha, D. Gokulakrishnan, J. Sridhar, N. Shanthi, C. Vijayalakshmi, T. Muthamizhan

{"title":"Gastric Disease Determination Using Advanced Deep Learning","authors":"K. Sangeetha, D. Gokulakrishnan, J. Sridhar, N. Shanthi, C. Vijayalakshmi, T. Muthamizhan","doi":"10.1109/ICCPC55978.2022.10072249","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072249","url":null,"abstract":"Gastric cancer is perhaps the most widely recognized harmful cancers with unfortunate prognostic outcome. Endoscopic assessment is primarily used for early recognition, while obsessive affirmation and computed tomography scanning are proposed for additional treatment. Gastric cancer growth stays as one of the dangerous cancers with unfortunate forecast. The overall lack of pathologists offers a one kind of chance for the utilization of artificial intelligence assistance system to help frameworks to ease the responsibility and increment diagnostic accuracy. Most gastric cancer shows hereditary instability, either micro satellite precariousness or chromosomal precariousness, which is viewed as an early stage in gastric carcinogenesis. Contemporary classification of gastric cancer in view of histological highlights, genotypes and subatomic phenotypes assists better with understanding the qualities of each subtype, and work on early analysis, anticipation and treatment. This task fosters a strategy utilizing deep learning algorithms to anticipate the health issues like ulcer, heartburn, indigestion and nausea which includes various tests to show up the end. Progressed algorithm, MIFNET is utilized to precisely analyze the presence of illness efficiently. MIFNET is a aggregation of three distinct algorithm, called as multi task net, fusion net and global net, the aggregation of which gives precise expectation of gastric cancer without any further diagnosis. A web application utilizes React.js will be produced for getting the contribution from the client and then showing the anticipated outcome. Hence, this proposed system helps in powerful determination of gastric cancer with greater accuracy than the existing system. Subsequently, this proposed work helps in successful analysis of Gastric Cancer in various parts of the stomach with greater accuracy than the existing system.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"40 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":"122662814","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

Detection and Providing Suggestion for Removal of Weeds Using Machine Learning Techniques 使用机器学习技术检测并提供除草建议

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072190

S. G. Sundaram, A. Ponmalar, V. V, S. Deeba, H. R, J.H Vishwath

引用次数: 1

Influence of DLT in the E-Governance Strategy DLT对电子政务战略的影响

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072121

D. Kumar, B. Beena

引用次数: 0