2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)最新文献_第5页

Design of Modern Open Distance Education System based on Random Sampling Speech Algorithm and Intelligent Action Acquisition Algorithm 基于随机抽样语音算法和智能动作获取算法的现代远程开放教育系统设计

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951973

Jinfeng Zhao

引用次数: 0

Analysis of Piezoelectric Based MEMS Micromirror for Optical Communication 基于压电的微机电系统光通信微镜分析

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951948

G. Dinesh Ram, S. Praveen Kumar, T. K. Srinivasan, T. Aravind, S. Ramya, D. Lingaraja

引用次数: 0

A Deep Q Network Optimization Algorithm for DoS Attack in WSN 面向WSN DoS攻击的深度Q网络优化算法

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952125

A. Puviarasu, P. Jeyabharathi, K. Lavanya, S. Vimalnath, V. Sureshkumar, P. Naveen

引用次数: 2

Improved Localization by Route Positioning based Node Location Detection on the Wireless Sensor Network 基于路由定位的无线传感器网络节点位置检测改进定位

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951868

P. Nandhini, A. Suresh

{"title":"Improved Localization by Route Positioning based Node Location Detection on the Wireless Sensor Network","authors":"P. Nandhini, A. Suresh","doi":"10.1109/ICOSEC54921.2022.9951868","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951868","url":null,"abstract":"Instead of a single multi-hop connection, Wireless Sensor Networks (WSN) use high-powered hop communication. Performance of data communication on most of the mobile devices has been analyzed to establish wireless data transfer of multi-hop wireless power. The data packets enable the network activity by establishing a connection from source to destination. By considering the energy restrictions in wireless sensor nodes, a novel method has been proposed to monitor the sending point of each and every node and the location identification mechanism has been implemented at the receiving point of the node. Based on the ID, the proposed study has developed a Route Positioning based Node Travel Location Identification algorithm (RP-NTLD to perform network localization. This is entirely dependent on the network route, and if the unknown node is restricted, it becomes available for route positioning and the estimation of remaining nodes. Based on the unique ID given for each node, the network node searches the data and broadcast the route based on the node position. The proposed research investigation intends to develop new and improved network route design computation for wireless sensor networks. The proposed dynamic wireless network configuration is implemented on the real time data, as a result efficient performance metrics values are obtained.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619334","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

DDoS Attack Detection using Enhanced Long-Short Term Memory with Hybrid Machine Learning Algorithms 基于混合机器学习算法增强长短期记忆的DDoS攻击检测

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951976

M. Sinthuja, K. Suthendran

引用次数: 0

Analysis of Inspection and Monitoring Integrated Robot System based on UWB Positioning Algorithm 基于超宽带定位算法的巡检监控综合机器人系统分析

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9951980

Huibo Xu

引用次数: 0

Skin Cancer Classification and Early Detection on Cell Images using Multiple Convolution Neural Network Architectures 基于多重卷积神经网络架构的细胞图像皮肤癌分类与早期检测

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952115

Ananda Sutradhar, Shorove Tajmen, Al-Amin Dhaly, F. M. J. Mehedi Shamrat, Md Sadekur Rahman Talukder, Ankit Khater

{"title":"Skin Cancer Classification and Early Detection on Cell Images using Multiple Convolution Neural Network Architectures","authors":"Ananda Sutradhar, Shorove Tajmen, Al-Amin Dhaly, F. M. J. Mehedi Shamrat, Md Sadekur Rahman Talukder, Ankit Khater","doi":"10.1109/ICOSEC54921.2022.9952115","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952115","url":null,"abstract":"Skin cancer is an abnormal growth of epidermal cells that can spread over time. It can develop gradually and become death threatening if left untreated. Early detection and prevention are essential as it may prevent the cells from spreading. In this study, skin cell image data is used to classify Benign and Malignant cells using CNN models. The image dataset goes through several data preprocessing techniques before being applied to achieve the most efficient outcome from four pre-trained CNN models. The pre-trained models used in the study are InceptionV3, MobileNetV2, VGG19, and EfficientNetB7. With the advancing epoch, an increase in accuracy is observed from the models. The highest accuracy of InceptionV3, MobilenetV2 and VGG19 is 89.86%, 83.06% and 77.5%, respectively, whereas EfficientNetB7 comes with a significantly lower accuracy score of 49.03%. The domination of InceptionV3 over all other models is observed in Precision, Recall and F1-Score while classifying skin cancer cells.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982265","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

Design of Flexible and Wearable Antenna for 5G IoT Application 面向5G物联网应用的柔性可穿戴天线设计

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952088

S. Suneesh, A. Siva Priya, K. Abirami, T.V Dhruva, A. Rajesh

引用次数: 1

Survey on Fast Charging with SoC Estimation 基于SoC估算的快速充电研究进展

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952016

C. R. A. Varshini, A. Tiwari, Arya Jha, K. Annamalai, K. Deepa, V. Sailaja

引用次数: 1

Prediction of Coronary Artery Disease by Adapting Hybrid Approach of Machine Learning Methods 基于混合机器学习方法的冠状动脉疾病预测

2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) Pub Date : 2022-10-20 DOI: 10.1109/ICOSEC54921.2022.9952111

Vijay Parthasarthy, L. Pallavi, Harishchander Anandaram, M. Praveen, S. Arun, R. Krishnamoorthy

{"title":"Prediction of Coronary Artery Disease by Adapting Hybrid Approach of Machine Learning Methods","authors":"Vijay Parthasarthy, L. Pallavi, Harishchander Anandaram, M. Praveen, S. Arun, R. Krishnamoorthy","doi":"10.1109/ICOSEC54921.2022.9952111","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952111","url":null,"abstract":"Recently, there have been many implementations of AI and its application tactics in the field of medicine, and it is commonly mentioned as a substantial rich data. One of the major causes of death from one end of the world to the other is coronary artery disease, which can be prevented with early diagnosis. The goal of this work is to use reliable clinical data to predict coronary course infection. Expecting Coronary Artery Disease (CAD) is a very challenging and challenging undertaking in the clinical profession. One of the virtuosi in the clinical field is the early forecast, especially in the cardiovascular region.. The earlier studies on the creation of the early forecast model encouraged an understanding of the new approaches to find the variation in clinical imaging. An eating plan graph prepared by the concerned doctor following early anticipation might satisfy the cardiovascular counteraction. Our exam paper includes a forecast based on a suggested computation created using a pooling region bend AI technology. This data-based ID is a crucial element for accurate expectation. Despite the weak pixels around it, this extensive methodology has a respectable impact on deciding variety in clinical images. With the help of vein halting and vein plaque, this pooling region development in our AI calculation is storing contracting veins and tissues. The new flexible picture-based grouping strategies are presented in this investigation piece, which also contrasts the current characterization techniques with anticipated CAD previous for a higher exact worth. This suggested method uses any prior cardiac ailment as evidence to draw a conclusion. In our suggested calculation, the decision-production of grouped yield yields more precise results.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124887669","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