2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)最新文献_第6页

Image Transmission in Multi Carrier CDMA System with Different Equalization Techniques 不同均衡技术在多载波CDMA系统中的图像传输

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995159

Chachu N Helen, D. Judson

引用次数: 1

Spectral Analysis of EEG Data for Ocular Artifact Removal Using Wavelet Transform Technique 基于小波变换去除眼伪影的脑电信号频谱分析

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995021

R. K. Srinanthini, P. Srinivasan, S. Arun

引用次数: 4

A Comparison of Overlapping Community Detection in Large Complex Network 大型复杂网络中重叠社区检测方法的比较

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8994969

Khyati Fatania, D. Joshi, T. Patalia, Yasmin Jejani

{"title":"A Comparison of Overlapping Community Detection in Large Complex Network","authors":"Khyati Fatania, D. Joshi, T. Patalia, Yasmin Jejani","doi":"10.1109/ICRAECC43874.2019.8994969","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994969","url":null,"abstract":"Many large scale network contains community structure, that nodes are densely connected with own group and less connected to other groups. Community contains users those having similar characteristics from other groups or community. Now days, more number of people are paying attention on social network for information, news, comments, likes etc. Due to this social network sites generates large number of data. These issues often make social network data very complex to analyze manually. In network, there may be possibilities that one node may belongs to one or more than one groups that is called overlapping of nodes. Possibility of overlapping community is high in real world network. There are many fields in which community detection is necessary for example in politics, business, news, and social network like Facebook, Twitter, and LinkedIn etc. In social network large number of overlapping community is available, for analysis of this type of communities or groups in network is tedious task. Therefore research work is based on a heuristic approach to discover overlapped community in large complex network.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122310327","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

An Optimized Multiplexing System for Remote Sensing Optical Signals 一种优化的遥感光信号复用系统

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995037

Sudhan M.B, Abhilash K.S., Shijin Kumar P.S

引用次数: 0

A Deep Learning Approach To Computer Aided Glaucoma Diagnosis 计算机辅助青光眼诊断的深度学习方法

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8994988

A. Rebinth, S. M. Kumar

{"title":"A Deep Learning Approach To Computer Aided Glaucoma Diagnosis","authors":"A. Rebinth, S. M. Kumar","doi":"10.1109/ICRAECC43874.2019.8994988","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994988","url":null,"abstract":"Glaucoma has been listed as a major health deterrent and is one of the top three causes of vision loss which may lead to permanent blindness. Recent global health evaluation on primary health challenges conducted by World Health Organization (WHO) has identified eye related defects as one of the critical few. Survey reports highlight that if not treated, this can become a primary concern by 2020 leading to around 80 million people affected due to eye related defects. Irrespective of geologically being developed or developing country, retinal eye defects have progressing significantly over the earlier part of this century. Progression of eye defects can be reduced by the timely diagnosis of eye defects. Image processing in the recent years has gained traction and growth multiple avenues from facial recognition to computer aided diagnosis of diseases. Cost effective and efficient computer aided diagnosis of fundal abnormalities have been enabled using image processing. This paper discusses the different methodologies adopted for automatic detection and gives insight into the progression of image mining techniques.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802732","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: 4

A Technique to Determine Electromagnetic Properties of Martian Soil Simulant at RF frequency 火星土壤模拟物的射频电磁特性测定技术

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8994999

Nilofar A. Shekh, J. Pabari

引用次数: 0

Neural Network Prediction of Compressive Strength of Lightweight Coconut Shell Concrete 轻量化椰壳混凝土抗压强度的神经网络预测

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995134

J. J. Regin, P. Vincent, D. Shiny, L. Porcia

{"title":"Neural Network Prediction of Compressive Strength of Lightweight Coconut Shell Concrete","authors":"J. J. Regin, P. Vincent, D. Shiny, L. Porcia","doi":"10.1109/ICRAECC43874.2019.8995134","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995134","url":null,"abstract":"This work is a part of research investigation into the effective use of crushed coconut shells in the production of lightweight concrete. The natural coarse aggregate of this concrete was fully replaced with coconut shell aggregate and partial cement replacement with 0%, 5%, 10% and 15% of fly ash and silica fume. Based on trial mix method a suitable mix proportion was arrived. Long term compressive strength up to 365 days was studied. The optimum compressive strength was obtained for 10% silica fume mix. 28 days compressive strength of coconut shell concrete with partial replacement of silica fume and fly ash satisfies the minimum requirement of structural lightweight concrete. Hence it can be useful for structural purposes. For the prediction of compressive strength an Artificial Neural Network Model was developed using MATLAB and it includes seven inputs and one output. One hundred and sixty eight experimental data were used for developing the multilayer feed forward and back propagation neural network model. The mean square error for the predicted values with respect to the experimental value is 0.0348. The predicted compressive strength was compared with the experimental strength and found remarkably close to each other.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115185780","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

Hybrid DWT- DCT image steganography for encrypted secret image 用于加密秘密图像的混合DWT- DCT图像隐写

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995111

A. Vyas, Dr. Sanjay Vasant Dudul

引用次数: 1

Neural Network Predictive Control of Systems with Faster Dynamics using PSO 基于粒子群算法的快速动态系统神经网络预测控制

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995025

M. Nisha, M. John Robert Prince, A. J. Jones

引用次数: 1

HTTP Botnet Detection in IOT Devices using Network Traffic Analysis 基于网络流量分析的物联网设备HTTP僵尸网络检测

2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) Pub Date : 2019-03-01 DOI: 10.1109/ICRAECC43874.2019.8995160

Mohit Goyal, Ipsit Sahoo, G. Geethakumari

引用次数: 18