2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)最新文献_第2页

Cardiac Arrhythmia Diagnosis System from Electrocardiogram Signal using Machine Learning Approach 基于机器学习方法的心电图信号心律失常诊断系统

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997151

R. Devi, V. Kalaivani

引用次数: 0

An Ultra Low Power VLSI Architecture for Viterbi Decoder using Subthreshold Adiabatic Logic 基于亚阈值绝热逻辑的Viterbi译码器超低功耗VLSI架构

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997189

M. Gladwin, N. Kasthuri

引用次数: 0

An Improved Transformerless Inverter Topology for Grid Connected Photovoltaic System 并网光伏系统无变压器逆变器拓扑的改进

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997134

P. Aswini, Zameer Ahmad, P. Narasimham

引用次数: 2

Automatic Optic Disc Localization and Optic Cup Segmentation from Monocular Color Retinal Images for Glaucoma Assessment 基于单眼彩色视网膜图像的视盘定位和视杯自动分割用于青光眼评估

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997293

S. Sumithra, A. Geetha, D. Santhi

{"title":"Automatic Optic Disc Localization and Optic Cup Segmentation from Monocular Color Retinal Images for Glaucoma Assessment","authors":"S. Sumithra, A. Geetha, D. Santhi","doi":"10.1109/I2C2SW45816.2018.8997293","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997293","url":null,"abstract":"In recent years, computer-aided screening and diagnosis of glaucoma have made considerable progress. Computer-aided retinal image analysis provides an instant detection of retinal features before specialist inspection. Eye disease of glaucoma is a significant globally is due to an increase in intraocular pressure. It causes permanent vision loss, and also early prognosis is complicated. The present work provides an image processing technique used to automatically detect the center of the optic disc and segment the optic cup for prediction of glaucoma by developing software algorithms in MATLAB. Three kinds of steps are used such as pre-processing, detection of optic disc center and optic cup. In the first step, green Chanel image and filtering methods used for removing noises. In the second step, Region localization using entropy is applied to locate Optic Disc center. In the third step, the Optic Cup has segmented by region growing technique. This subject to different retinal fundus image datasets such as DRIONS and DRIVE. Proposed algorithm is obtained 100% Accuracy rate(A), 98% Sensitivity(S), 99% Specificity(Sp), 95% Precision(P), 87% F-score(Fs), 94% G-mean(Gm) and trivial computation time.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115694786","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

Low Cost Raspberry Pi Oscilloscope 低成本树莓派示波器

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997158

B. Vivek, S. Maheswaran, P. Keerthana, S. Sathesh, S. Bringeraj, R. Akshaya Sri, S. Asma Sulthana

{"title":"Low Cost Raspberry Pi Oscilloscope","authors":"B. Vivek, S. Maheswaran, P. Keerthana, S. Sathesh, S. Bringeraj, R. Akshaya Sri, S. Asma Sulthana","doi":"10.1109/I2C2SW45816.2018.8997158","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997158","url":null,"abstract":"Oscilloscope is an electronic test instrument which helps in monitoring the constantly varying voltage signal, that is represented in a two dimensional plot as a function of time. Oscilloscope can be called as CRO or DSO. It also display any other form of signal by converting it into voltages. These types of oscilloscopes are costly and they are difficult to carry to different places. Cost of maintenance and repair is very high in these kind of oscilloscope. Hence, in this project portable and cost effective Oscilloscope has been developed with the help of Raspberry Pi boards. Raspberry Pi is a tiny and an affordable computer which gives best Graphical User Interface and Graphical Programming can be done with the help of Matplotlib. Matplotlib is a plotting library for the Python programming language and it is built upon Numpy. MCP3008 (ADC), a 10 bit analog to digital converter, sampling at the rate of 200ksps is also used. This helps in converting the external signals to digital signals. With the help of Raspberry Pi, the captured signals are plotted and can be viewed in the output screen. Wi-Fi module is interfaced with Raspberry Pi and by installing a RDP (remote desktop connection) android application in the mobile phone, output can be viewed on mobile phone using Wi-Fi. With the help of remote desktop connection, portability is achieved.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"R-16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114128722","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: 11

A Low Traceback and Zero Logging Overhead IP Traceback Approach for Communication Networks 通信网络的低回溯和零日志开销IP回溯方法

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997378

S. Malliga, S. V. Kogilavani, P. Nandhini

引用次数: 3

A Neuro-Fuzzy Approach for Anomaly Identification in Brain fMRI using K-Means Algorithm 基于k -均值算法的脑功能磁共振异常识别神经模糊方法

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997227

K. Kandasamy, S. Shanmugavadivu, K. Tamilselvan, A. Saraswathi

{"title":"A Neuro-Fuzzy Approach for Anomaly Identification in Brain fMRI using K-Means Algorithm","authors":"K. Kandasamy, S. Shanmugavadivu, K. Tamilselvan, A. Saraswathi","doi":"10.1109/I2C2SW45816.2018.8997227","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997227","url":null,"abstract":"Now-a-days a Conflict identification and categorization in brain functional MRI (fMRI) are inherently a toilsome in research. It is particularly because of the overlapping intensity distribution between the healthy and pathological tissues in the fMRI. The important features of that characterize the brain have to be diagnoses for efficient categorization and deblocking of contradiction from fMRI. Since MRI suffers from substantial grayscale contrast the categorized procedure should be done in a trained manner. This work proposes a Neuro-fuzzy based system for categorization and deblocking of abnormalities from Brain fMRI. The work consists of three major stages such as Feature deblocking, categorization and conflict detection. In the feature deblocking phase vital data that drive to categorization are analyzed. Texture and Wavelet features are used as discriminating features to diagnose the image class. The categorization phase discriminates the normal and pathological fMRI slices using feed forward Back propagation neural network. The categorized abnormal images are then applied for feature extraction and comparison of them with a ground truth data.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127076780","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

Improve Efficient Keywords Searching Data Retrieval Process in Cloud Server 提高云服务器中关键字搜索的效率

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997131

S. Saravanan, T. Abirami, P. Pandiaraja

引用次数: 15

Strength prediction using ANN for concrete with Marble and Quarry dust 用人工神经网络预测含大理石和采石场粉尘混凝土的强度

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997326

S. Anandaraj, J. Rooby, G. Ravindran, Arun Kumar Beerala, Vikram Mulukalla, Swathi Koduri

{"title":"Strength prediction using ANN for concrete with Marble and Quarry dust","authors":"S. Anandaraj, J. Rooby, G. Ravindran, Arun Kumar Beerala, Vikram Mulukalla, Swathi Koduri","doi":"10.1109/I2C2SW45816.2018.8997326","DOIUrl":"https://doi.org/10.1109/I2C2SW45816.2018.8997326","url":null,"abstract":"Modern construction material research is picking impetus in the recent two decades; a greater number of admixtures and combinations were tried by bountiful researchers across the globe. In this work an attempt is made to obtain the strength characteristics by using Soft computing techniques in the marble and quarry dust impregnated concrete. Strength characteristics of concrete is studied with reference to the addition of the above-mentioned admixtures and the results were given as input parameters. 28 days compressive strength of concrete with varying marble and quarry dust content is utilized as input data for the neural network and a model is created which is used to predict the strength. To prepare the ANN model the results are taken and the values obtained are mean square propagation and the testing, training, validation and for overall propagation the values are 0.99793, 0.99577, 0.9927 and 0.99073 and the best validation performance is 0.023295 at epoch 7 respectively for MD and for QD the values are 0.9974, 0.94374, 0.94445 and 0.947 and the best validation performance is 0.035578 at epoch 4 respectively. It is found that neural network can be utilized effectively to predict the strength characteristics of concrete.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130354742","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

A Compact Stair Case Monopole UWB Antenna for Radar Applications 一种用于雷达的紧凑型阶梯式单极超宽带天线

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI: 10.1109/I2C2SW45816.2018.8997147

V. Dinesh, G. Murugesan

引用次数: 4