2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第5页

Performance Enhancement of Mutation and Crossover Components by using Differential Evolution Algorithm 利用差分进化算法增强变异和交叉分量的性能

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-0003

Aathira M, G. Jeyakumar

{"title":"Performance Enhancement of Mutation and Crossover Components by using Differential Evolution Algorithm","authors":"Aathira M, G. Jeyakumar","doi":"10.1109/ICCMC48092.2020.ICCMC-0003","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-0003","url":null,"abstract":"The Differential Evolution (DE) algorithm, under the family of Evolutionary Algorithms (EAs), is one of the powerful algorithms used for solving continuous parameter optimization challenges. The simplistic nature and robustness of the classical DE algorithm have drawn researchers’ attention towards its progressive enhancement. This work reports on an investigation of the behavioral changes of the classical DE algorithm, evoked when its mutation and crossover components are fine tuned for enhancement of DE’s performance. The scope of this study covers the implementation of a mutation level enhancement and a crossover level enhancement, followed by their integration. The mutation and the crossover components are augmented by incorporation of Centroid DE and Superior-Superior & Superior-Inferior DE logics, respectively. The algorithms appraised in this inquiry were classical DE, Centroid based DE(cDE), Superior-Superior based DE (ssDE), Superior-Inferior DE (siDE), Centroid Superior-Superior DE (cssDE) and Centroid Superior-Inferior DE (csiDE). These algorithms were evaluated by comparison of the values of their mean objective function (MOV), and their speed, at solving the global optimization problems in a simple benchmarking function suite with 4 functions of different categories. The study concludes that the DE algorithm shows enhancement performance with modified mutation and crossover components. However, with a trend for inconsistency for varying values of its control parameters and benchmarking problems.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115808349","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 CPW Fed Patch Antenna Design for Weather Monitoring, Air Traffic Control and Defense Tracking Applications 用于天气监测、空中交通管制和国防跟踪应用的CPW贴片天线设计

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000185

Sathuluri Mallikharjuna Rao, T. Saikumar, J. Reddy, V.Ravi Chowdary, Ammam.Jaya Apurva Rani

引用次数: 0

Prediction of Energy Demand in Smart Grid Using Deep Neural Networks with Optimizer Ensembles 基于优化器集成的深度神经网络智能电网能源需求预测

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000109

P. Seethalakshmi, K. Venkatalakshmi

{"title":"Prediction of Energy Demand in Smart Grid Using Deep Neural Networks with Optimizer Ensembles","authors":"P. Seethalakshmi, K. Venkatalakshmi","doi":"10.1109/ICCMC48092.2020.ICCMC-000109","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000109","url":null,"abstract":"The smart grid is a combination of smart network devices and systems that support the efficient generation, distribution and transmission of energy from source to destination. Energy is becoming one of the most important resources of daily life. In general, technology advancements are rapidly increasing and energy demand is also increasing due to the discovery of new electrical/electronic devices. Most of the conditions, there is a mismatch between energy generation and energy consumption. The big challenge is to maintain a balance between generating energy and using it. The service providers need to forecast the energy demand well in advance with minimal error to maintain the equilibrium state, even a small error in the predictive mechanism leads to a loss for both service providers and consumers. To address these problems we proposed an energy prediction model based on Long Short Term Memory (LSTM). It has emerged as a promising Artificial Neural Network (ANN) technique for predicting time series issues due to the properties of selective retrieval patterns for a long time. Further, the LSTM model is optimized by using Optimizer Ensembles to improve the efficiency of the proposed model. The simulation results show that the proposed LSTM achieves better predictive results (less error, high efficiency) compared to existing methods such as Moving Average (MA), Linear Regression (LR) and k-Nearest Neighbors (k-NN) techniques.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123226121","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: 2

Constellation Design for Dual-Mode OFDM-IM 双模OFDM-IM的星座设计

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000150

Shilpa Sridhar, Latha, Arpita Thakre

引用次数: 2

Crime Analysis and Prediction using Optimized K-Means Algorithm 基于优化k -均值算法的犯罪分析与预测

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000169

S. Krishnendu, P. Lakshmi, L. Nitha

引用次数: 10

Fault Detection of Electric Vehicle Charging Piles Based on Extreme Learning Machine Algorithm 基于极限学习机算法的电动汽车充电桩故障检测

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000157

Xinming Gao, Gaoteng Yuan, Mengjiao Zhang

引用次数: 3

Network Slicing in 5G and the Security Concerns 5G中的网络切片和安全问题

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00014

A. Mathew

{"title":"Network Slicing in 5G and the Security Concerns","authors":"A. Mathew","doi":"10.1109/ICCMC48092.2020.ICCMC-00014","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00014","url":null,"abstract":"The fifth-generation (5G) of mobile communications is currently being rolled out, with service providers adopting it in their networks. 5G enables the connection of multiple devices and their communication over the Internet, giving it the capability to support the Internet of Things (IoT). One of the technologies behind its support of multiple and diverse devices is the network slicing technology which helps in managing the logical networks comprising of different user equipment. The objective of the present study is to explore the network slicing technology and investigate the security concerns that it introduces to 5G. The study adopts the systematic review, which is a qualitative methodology, for gathering and analyzing data. The review comprises of the analysis of various literature sources obtained from Google Scholar, IEEE, and the Cochrane Library. The data analysis process is thematic in nature, focusing on security challenges, their solutions, and the merits of network slicing. The literature findings indicate that network slicing has two major challenges, namely security and the implementation of 5G radio access network (RAN) to accommodate slicing. The potential solutions to these challenges include network isolation through slicing, cryptography, authentication, and manual slice allocation to different devices. The principle conclusions derived from the proposed study are that the network slicing is suitable for 5G and the solutions remain effective in minimizing the security risks it poses to the network.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121570526","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: 16

Enhance Safety and Security System for Children in School Campus by using Wearable Sensors 利用可穿戴式传感器增强校园儿童安全保障系统

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000183

R. Kamalraj, E. S. Madhan, K. Ghamya, V. Bhargavi

{"title":"Enhance Safety and Security System for Children in School Campus by using Wearable Sensors","authors":"R. Kamalraj, E. S. Madhan, K. Ghamya, V. Bhargavi","doi":"10.1109/ICCMC48092.2020.ICCMC-000183","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000183","url":null,"abstract":"Child security in the school campus is most important in building a good society. In and around the world the children are abused and killed also in sometimes by the people those who are not in good attitude in the school campus. To track and resolve such issues an enhanced security feature system is required. Hence in this paper an enhanced version of security system for children is proposed by using ‘Wearable Sensors’. In this proposed method two wearable sensors nodes such as ‘Staff Node’ and ‘Student Node’ are paired by using ‘Bluetooth’ communication technology and Smart Watch technology is also used to communicate the Security Center or Processing Node for tracking them about their location and whether the two nodes are moved away from the classroom. If the child node is not moving for a long period then it may be notified by the center and they will inform the security officers near to the place. This proposed method may satisfy the need of school management about the staff movements with students and the behavior of students to avoid unexpected issues.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"695 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241554","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

A Survey on Video-based Evidence Analysis and Digital Forensic 基于视频的证据分析与数字取证研究综述

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-00024

R. Mante, Reshma Khan

{"title":"A Survey on Video-based Evidence Analysis and Digital Forensic","authors":"R. Mante, Reshma Khan","doi":"10.1109/ICCMC48092.2020.ICCMC-00024","DOIUrl":"https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00024","url":null,"abstract":"In the past couple of decades, the most emerging domain across the globe is Information Technology [IT]. It has made a significant contribution in cracking the criminal case and preparing the strong cases in the court of justice. IT technologies have become a vital tool for examination and gathering of the digital evidences. As crime rate is increasing day-by-day, in order to reduce the occurrence of crime and bring the culprit of the crime to justice, the computer forensics plays an indispensable role. With the recent technological developments, it has become more powerful and portable. Large amount of data has created stored and accessed everyday. Many technologically advanced devices are acting as repositories for the collected personal information. Such devices remain portable and accessible with a single click or even to the voice command. To have such large-scale information is important to get the conviction for the culprits but at the same time, investigating agencies has to maintain the privacy of the recovered data to make it admissible in the court. This gives rise to the security mechanism for such data. Collection, analysis, investigation and reporting of the digital data come under forensic science, which is a part of digital forensics domain. In this paper, we have presented a review on the existing researches available in the field of video forensic analysis.","PeriodicalId":130581,"journal":{"name":"2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127276437","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: 3

Fuzzy c-means Segmentation on Enhanced Mammograms Using CLAHE and Fourth Order Complex Diffusion 基于CLAHE和四阶复扩散的增强乳房x线图像模糊c均值分割

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2020-03-01 DOI: 10.1109/ICCMC48092.2020.ICCMC-000120

M. Mohan, Lekshmi Priya T, L. S. Nair

引用次数: 1