International journal of applied information systems最新文献_第10页

Illumination Invariant Feature Extraction for Multispectral Palmprint Verification 多光谱掌纹验证的光照不变特征提取

International journal of applied information systems Pub Date : 2016-08-06 DOI: 10.5120/IJAIS2016451586

N. Venkateswaran, S. Saranraj, S. Sudharsan

{"title":"Illumination Invariant Feature Extraction for Multispectral Palmprint Verification","authors":"N. Venkateswaran, S. Saranraj, S. Sudharsan","doi":"10.5120/IJAIS2016451586","DOIUrl":"https://doi.org/10.5120/IJAIS2016451586","url":null,"abstract":"The aim of biometrics is to identify humans from their personal traits more efficiently using devices, algorithms and procedures for applications that require security and authentication. Multispectral image analysis has gained importance due to its potential for accurate and faster recognition performance. In this paper, Multispectral palmprint biometric system is proposed which uses the fusion of both MS and visible image to acquire more discriminative palm print information. The proposed system collects palm print images in visible and NIR bands. PCA based Fusion algorithm has been used to obtain more informative palmprint. First, Region of Interest (ROI) is extracted from the acquired palm print images. Then, features are extracted using phase congruency, histogram of gradient, Gabor filter and adaptive thresholding based algorithms. Simple distortion based measures are used for recognition. The proposed system is tested on a palmprint data collected using 080GE multispectral camera. Simulation results show high recognition performance using Gabor features obtained by fusion of visible and NIR palm print image.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"29 1","pages":"11-20"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81696309","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 Empirical Study of IPV6 Multicast Routing over a Virtual Local Area Network 虚拟局域网中IPV6组播路由的实证研究

International journal of applied information systems Pub Date : 2016-08-06 DOI: 10.5120/IJAIS2016451593

Ahiaba Solomon

{"title":"An Empirical Study of IPV6 Multicast Routing over a Virtual Local Area Network","authors":"Ahiaba Solomon","doi":"10.5120/IJAIS2016451593","DOIUrl":"https://doi.org/10.5120/IJAIS2016451593","url":null,"abstract":"The Internet Protocol Version 6 was designed to efficiently improve on the existing functionalities of Internet Protocol Version 4 and to introduce new constructs that it lacks. Though IPv6 is not an extension of IPv4, as the two protocols have different specifications. Both the new and the formal protocol use multicast routing for many of their operations; this implies multicast routing is core in the protocols. This experiment became imperative especially in this era everyone is looking forward to using IPv6 as the default network. This paper tested the performance of IPv6 multicast routing over a virtual local area network. Graphical Network Simulator 3 was used to configure the network and Microsoft Hyper-V was used as the hypervisor on which the six virtual machines (hosts) reside. Parameters such as throughput, latency variations, data loss and the network over heads were examined. The experiment has shown that, IPv6 multicast routing over a virtual network has 100% throughput, the jitter (variations in latency) varies among the hosts in all the running scenarios, but low and stabled jitters were noticed as the running duration increases and the number of streaming increase from one multicast stream to running two multicast streams simultaneously. There was no data loss.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"15 1 1","pages":"31-37"},"PeriodicalIF":0.0,"publicationDate":"2016-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86011106","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

Comparative Analysis of Accuracy on Heart Disease Prediction using Classification Methods 分类方法对心脏病预测准确率的比较分析

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451578

Rovina Dbritto, Anuradha Srinivasaraghavan, Vincy Joseph

{"title":"Comparative Analysis of Accuracy on Heart Disease Prediction using Classification Methods","authors":"Rovina Dbritto, Anuradha Srinivasaraghavan, Vincy Joseph","doi":"10.5120/IJAIS2016451578","DOIUrl":"https://doi.org/10.5120/IJAIS2016451578","url":null,"abstract":"A common term heart disease is nothing but a cardiovascular disease or a Coronary heart disease which reduces the efficiency and proper functioning of heart by blocking veins, artery or blood vessels around it. Coronary heart disease causes disability such as damage to the brain resulting in death. Based on Statistics [10] it indicates that range of age group from 25 to 69 have 25% risk of having heart diseases. Some vital causes for cardiovascular disease are, physical inactivity, smoking, consuming more junk food and addiction of alcohol which are major causes for stroke, chest pain, and heart attack. However because of the awareness about factors and symptoms that are responsible for heart problem, it is possible to predict any heart problem based on statistical analysis of medical records. However Data mining, a modern technique has provided an automatic way of analyzing data using standard classification methods. Though many classifiers are available in data mining that can be used to predict the heart problems, this paper emphasizes on finding the appropriate classifier that has the potential to give better accuracy by applying data mining techniques viz. Naive Bayes , Support Vector machine and Logistic Regression.","PeriodicalId":92376,"journal":{"name":"International journal of applied information systems","volume":"23 1","pages":"22-25"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81743032","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: 17

Analysis of MIMO Capacity Dependence on Multi-Antenna Channel Delay Spread in Reverberation Chamber 混响室中多天线信道延迟扩展对MIMO容量的依赖性分析

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451580

N. Arsalane, M. Mouhamadou, C. Decroze, D. Carsenat

引用次数: 0

Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks 基于遗传算法的无线传感器网络节能数据采集

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451551

T. Sujithra, R. Venkatesan

引用次数: 7

Application of Back-Propagation Neural Network in Horoscope Prediction 反向传播神经网络在星座预测中的应用

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451575

Usha Sharma, S. Karmakar, Navita Shrivastava.

引用次数: 0

Defect Prediction Model for AOP-based Software Development using Hybrid Fuzzy C-Means with Genetic Algorithm and K-Nearest Neighbors Classifier 基于aop的软件开发缺陷预测模型的模糊c均值遗传算法和k近邻分类器

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451579

Pankaj Kumar

引用次数: 11

Evaluation of Pharmaceuticals Sewage Effects on the Chemical Properties of Surrounding Surface Waters around Tehran 药品污水对德黑兰周边地表水化学性质影响的评价

International journal of applied information systems Pub Date : 2016-07-06 DOI: 10.5120/IJAIS2016451577

Mostafa Adelizadeh, N. Rezaei, T. Taherian

引用次数: 0

Appropriateness of Neural Networks in Climate Prediction and Interpolations: A Comprehensive Literature Review 神经网络在气候预测和插值中的适用性:综合文献综述

International journal of applied information systems Pub Date : 2016-05-06 DOI: 10.5120/IJAIS2016451552

S. Karmakar, Siddhartha Choubey, P. Mishra

引用次数: 0

PDP of the 3GPP SCME Channel Models Emulation, Reverberation PDP的3GPP SCME信道模型仿真，混响

International journal of applied information systems Pub Date : 2016-04-18 DOI: 10.5120/ijais2016451535

B. Marah, W. Bouab, P. Nlend, A. Sayouti

引用次数: 0