2022 International Conference on Computer, Power and Communications (ICCPC)最新文献_第6页

To Optimizing Energy Utility Using Cell-Leach Protocol in Wireless Sensor Network 利用Cell-Leach协议优化无线传感器网络的能量利用

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072103

R. Nandhini

{"title":"To Optimizing Energy Utility Using Cell-Leach Protocol in Wireless Sensor Network","authors":"R. Nandhini","doi":"10.1109/ICCPC55978.2022.10072103","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072103","url":null,"abstract":"In this work, we analyze the effectiveness of the Cell-LEACH protocol in optimizing energy-constrained wireless sensor networks. A WSN consisting of independent sensor that communicate with each other in a distributed manner to have an overview of the environment. The sensors are connected to the microcontroller and powered by a battery. The goal of a wireless sensor network is to have high reliability and long life and higher coverage. LEACH is the first hierarchical routing approach for wireless sensor networks. Wireless Sensor Network (WSN) has an important role in Cell-Leach based approach where WSN is known as Wireless Sensor Network. In a WSN that has multiple nodes and many sensors connected to each node. In WSN, which integrates various circuits, several computer embedded systems, many sensors, distributes large wireless communication, some advanced networks, provides technology acquisition, and allocates multiple information processors. Wireless sensor networks have battery-powered sensor nodes and are used to transmit information through environmental monitors. At this point, energy efficiency is an important issue for many WSNs. As a result, various routing techniques have advanced, such as improving network lifetime, achieving the greatest scalability, and also increasing the highest reliability. On the other hand, WSN uses a common hierarchical clustering protocol called LEACH and runs a standard algorithm. The proposed algorithm used is Cell-LEACH and it is developed as Cell Low Energy Adaptive Clustering Hierarchy. Numerous sensors are built into each of the cell heads. No pulling and regrouping is done in this formation. Here, the cell head sends all data at a certain time using TDM. In this case, the Cell head performs data aggregation and sends the processed data to the cluster heads, while performing a similar function and transmitting data to the base stations, while performing a similar function and transmitting data to the base station.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"55 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":"116268970","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

Pre-Installation Analysis of a Solar Grid-Connected Photovoltaic System for a Countryside Energization in Jharkhand via “PV syst”, India 通过“光伏系统”，印度贾坎德邦农村能源的太阳能并网光伏系统预安装分析

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072149

Shashank K Pandey, B. Gupta, Sarang Kapoor

{"title":"Pre-Installation Analysis of a Solar Grid-Connected Photovoltaic System for a Countryside Energization in Jharkhand via “PV syst”, India","authors":"Shashank K Pandey, B. Gupta, Sarang Kapoor","doi":"10.1109/ICCPC55978.2022.10072149","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072149","url":null,"abstract":"In India due to diversified topography, it is impossible to satisfy the power demands through conventional energy resources. Therefore, many engineers & scientists are trying to establish an effective technique which can substitute existing energy systems i.e. coal energy. It has been proven that solar energy has the potential to fulfil the energy requirement of rural and urban regions of India. Earlier a simulation based design has been carried out for a 50 kWp solar PV system for village-Pathrota addressed at Madhya Pradesh. In this study, a solar grid-connected PV system which has a capacity of 65 kWp has been done via PVsyst tool version 7.2.12 for countryside in Garhwa district of Jharkhand, India. The latitude and longitude of the sites are 24.27° North & 83.48° East respectively. The entire analysis is based on seasonal tilt angles for the proposed site. The performance ratio for the designed system is 76.15 % as per selected geographical location, which is quite satisfactory. Further, suggested solar-cell system produces satisfactory amount of energy i.e. 98.36 MWh/year. The specific production is 1511 kWh/kWp/year for the proposed methodology. Based on the experimental study & data, it is found that the suggested PV system has the capability to fulfil the required load demands with great efficiency & reliability.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"57 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":"116540187","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

High-Precision and Low-Latency FPGA-Based Weather Station 基于fpga的高精度低延迟气象站

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072196

K. Ramesh

引用次数: 1

Comparison of Machine Learning Algorithms for Hotel Booking Cancellation in Automated Method 酒店预订自动取消的机器学习算法比较

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072135

R. Prabha, G. Senthil, A. Nisha, S. Snega, L. Keerthana, S. Sharmitha

引用次数: 0

Fine-grained sentiment analysis using neural networks to identify guest preferences based on online reviews 使用神经网络进行细粒度情感分析，根据在线评论识别客人偏好

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072095

L. Rosewelt, Rajesh Kambattan Kovarasan, Sridevi P. Ponmalar

{"title":"Fine-grained sentiment analysis using neural networks to identify guest preferences based on online reviews","authors":"L. Rosewelt, Rajesh Kambattan Kovarasan, Sridevi P. Ponmalar","doi":"10.1109/ICCPC55978.2022.10072095","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072095","url":null,"abstract":"Online reviews are a sort of user-generated content that sway not only prospective guests' reservation decisions but also provide timely feedback to hotels on how to enhance their service offerings in response to guest feedback. Customer preferences can be inferred from online hotel evaluations by analysing the reviews for subtle indications of approval or disapproval of specific features. Sentiment component extraction, feature pair identification (FPI), and sentiment orientation analysis are all basic activities in fine-grained sentiment analysis. Yet, current fine-grained sentiment analysis techniques fail to identify FPIs reliably, particularly when dealing with review evaluations. To boost the efficiency of FPI detection, we develop a new convolutional neural network (i.e., CNN) model that can fully exploit unstructured and structured information. In addition, we present a modified fine-grained sentiment analysis methodology that integrates a term clustering algorithm for “aspect terms” to determine a correct “customer sentiment intensity value” for each evaluated aspect, rather than a simple “positive” or “negative” rating. At last, we undertake an empirical analysis of hotel web reviews to demonstrate the rationality and benefits of the suggested methodology. The empirical findings show that our suggested method can effectively identify consumer preferences from online evaluations of hotels and can enhance the effectiveness of FPI identification. Furthermore, we discover that different sorts of clients have distinct tastes in the amenities offered by hotels.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"34 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":"131196847","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

An Effective Addressal of Traffic using Tensor Flow 基于张量流的有效交通寻址

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072253

S. Swathi, S. P. Chakaravarthy, A. J. Wilson, A. P. Bharathi

{"title":"An Effective Addressal of Traffic using Tensor Flow","authors":"S. Swathi, S. P. Chakaravarthy, A. J. Wilson, A. P. Bharathi","doi":"10.1109/ICCPC55978.2022.10072253","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072253","url":null,"abstract":"Effective city surveillance using CCTV with automated accident alarm to the adjacent police station and automatic death alert based on the nearby police station Keep a record or log to indicate if action has been done and the specifics of that activity. Whether the accident be more severe or mild there's somehow need for a medical assistance. So, the system automatically arranges a call out for ambulance to the location. Instead of using a single model for detection of accident, severity and vehicle type we are going to use multiple models which follows a hierarchy in this way the computation power needed for prediction will be optimized compared to a single model. Themodel that are built and trained are CNN which takes images as an input if anaccident is detected than the image is fed to the next two models or else it will predict for the next image. If accident is detected, then the image is fed to the next model to know the accident severity and vehicle type if severity is medium or high than the algorithm sends the details to the police station and calls an ambulance and record it in the database afterward it will turn on the recording mode (it will retrieve video 5 minute prior to the accident till the ambulance arrived) after the detection of the ambulance the Accident prediction cycle continuous.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"74 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":"129347079","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

Healthcare Monitoring System of Patients using IoT 基于物联网的患者健康监测系统

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072094

J. Antosheeba, A. Sangari, D. Sivamani, K. Jayashree, A. Marthanda, R. Ramkumar

引用次数: 1

Real Time Livestock Rearing 实时家畜饲养

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072153

Jose A. Anand, K. Pawan, M. Narendran, Margaret Johnson, S. Rakesh

引用次数: 0

Rainfall Prediction using ARIMA and Linear Regression 基于ARIMA和线性回归的降雨预测

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072125

C. Vijayalakshmi, K. Sangeeth, R. Josphineleela, R. Shalini, K. Sangeetha, D. Jenifer

{"title":"Rainfall Prediction using ARIMA and Linear Regression","authors":"C. Vijayalakshmi, K. Sangeeth, R. Josphineleela, R. Shalini, K. Sangeetha, D. Jenifer","doi":"10.1109/ICCPC55978.2022.10072125","DOIUrl":"https://doi.org/10.1109/ICCPC55978.2022.10072125","url":null,"abstract":"Rainfall is the greatest of nature's gifts for our daily life, as well as the most important climate factor affecting human lives with farmers and agricultural complex systems. Rainfall forecasting is very difficult because excessive and sudden rainfall can have numerous problems, such as agriculture and property destruction, so for a better forecasting model is required for early warning that can save risk to agriculture and life property. Time series data have been used extensively in classical statistics. The proposed methodology predicts annual rainfall by time series ARIMA model and Linear Regression a machine learning algorithm. Time series data have been used extensively in classical statistics. The ARIMA has been trained to produce excellent outcomes. The ARIMA model demonstrated greater accuracy in all seasonal and yearly rains. To offer a solid prediction, this method, like time series ARIMA, requires a strict assumption of stationarity. We use real data from the Indian government website and Kaggle to compare model quality in ARIMA using different evaluation metrics. As a result, the ARIMA model accurately predicts rainfall and it is used for agriculture purpose in future.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"209 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":"115972672","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

Reconfigurable Tunning Antenna for S Band Navigation Receiver Applications 用于S波段导航接收机的可重构调谐天线

2022 International Conference on Computer, Power and Communications (ICCPC) Pub Date : 2022-12-14 DOI: 10.1109/ICCPC55978.2022.10072215

Sivarama Subramanium G, S. Muthuvel, A. G

引用次数: 0