2013 International Conference on Human Computer Interactions (ICHCI)最新文献

An efficient technique for video content managing in peer-to-peer computing using multilevel cache and bandwidth based cluster 基于多级缓存和基于带宽集群的点对点计算视频内容管理技术

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2014-07-12 DOI: 10.1109/ICSPCT.2014.6884982

M. Narayanan, C. Arun

{"title":"An efficient technique for video content managing in peer-to-peer computing using multilevel cache and bandwidth based cluster","authors":"M. Narayanan, C. Arun","doi":"10.1109/ICSPCT.2014.6884982","DOIUrl":"https://doi.org/10.1109/ICSPCT.2014.6884982","url":null,"abstract":"The Peer-to-Peer (P2P) computing is one of the rapidly growing technology, because day by day people needs and expectations are extending beyond boundaries. This P2P technology is started from file sharing, video streaming and P2P computing. Basically in this P2P computing, those who are in on-line all will act likes as a server or client. If they are having data segments then it will act as server otherwise clients. Generally the data segments are preserving at the peers in different levels such as hard cache and soft cache. Based on the popularity the video contents can be downloaded. Normally the most popular data segments are placed on the cache which is downloaded either from video server of from neighboring peers. There are so many of cache replacement algorithms have been introduced to replace the old data segments with newly arrived data segments. While arriving new data segments the old data segments removed from the queue i.e. cache, so the availability of the data content is presented very low. To overcome this problem multilevel cache is protecting the old segments in order to increase the speed. Generally P2P system the request will go at the neighbouring peer that particular neighbouring peer having is less connectivity then the client can receive the data segments slowly. Therefore overcoming this category of connectivity problem, we recommended bandwidth based cluster. After client registration, the video server build cluster based on bandwidth size. Once the request from client / server received immediately the video server finds highest bandwidth and LFU peer in their cluster and then service is redirected.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121692351","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

Wireless sensor node for green environment 绿色环境无线传感器节点

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887785

J. Manikandan, C. Niladri, S. Venugopal, V. Ktishnamurthy, V. K. Agrawal

引用次数: 6

Performance evaluation of protein structural class prediction using artificial neural networks 基于人工神经网络的蛋白质结构类预测性能评价

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887792

Bishnupriya Panda, A. P. Mishra, B. Majhi, M. Rout

{"title":"Performance evaluation of protein structural class prediction using artificial neural networks","authors":"Bishnupriya Panda, A. P. Mishra, B. Majhi, M. Rout","doi":"10.1109/ICHCI-IEEE.2013.6887792","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887792","url":null,"abstract":"Prediction of protein structural class has been a new area of research in the scientific community in the last decade. Various approaches has been adopted and analysed. However representing the raw amino acid sequence to preserve the property of proteins has posed a great challenge. Chou's pseudo amino acid composition feature representation method has fetched wide attention in this regard. In Chou's representation each protein molecule is represented as the combination of amino acid composition information, the amphiphillic correlation factors and the spectral characteristics of the protein. This method preserves both the sequence order and length information of the raw amino acid sequence and this plays a significant role in prediction. A set of exhaustive simulation studies with functional link artificial network(FLANN) demonstrates high success rate of classification. The self-consistency and jackknife test on the benchmark datasets has been performed and a comparison has been done with the results of radial basis function (RBF) neural network. It indicates that the FLANN model's accuracy is little less than RBF, but its complexity is very less whereas the accuracy of RBF is little higher, but it's complexity is high in comparison to FLANN.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374620","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

Z language based an algorithm for event detection, analysis and classification in machine vision 基于Z语言的机器视觉事件检测、分析和分类算法

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887803

Sukhpal Singh, Inderveer Chana, M. Singh

{"title":"Z language based an algorithm for event detection, analysis and classification in machine vision","authors":"Sukhpal Singh, Inderveer Chana, M. Singh","doi":"10.1109/ICHCI-IEEE.2013.6887803","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887803","url":null,"abstract":"A common task in various machine learning (ML) application areas involves observing regularly gathered data for `interesting' events. This mission is predominant in reconnaissance, but also in responsibilities fluctuating from the investigation of scientific data to the observing of unsurprisingly happening events, and from controlling engineering procedures to noticing human behavior. We will refer to this observing procedure with the determination of classifying remarkable manifestations, as event detection, analysis and classification. With the appearance of personal computers (PCs) a lot of efforts have been made to substitute manual investigation by a computerized manner. Data, nevertheless, have become gradually difficult, and the sizes of gathered data have become enormously bulky in latest years. Text documents, JPEG images, MP3, videos and even relational data are now regularly gathered. In this paper, we propose an algorithm for event detection, analysis and classification in machine vision. Till proposed algorithm is deliberated a significant facility, required degree of event detection cannot be achieved. Finally, we use K-means algorithm for classification of incoming events and proposed algorithm has been validated by Z Formal specification language in general. The proposed algorithm has been implemented in Matlab and results have been gathered through a data mining tool. Using the proposed algorithm, the events are easily detected, analyzed and classified in machine vision.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125034894","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

Partial-retuning of decentralised PI controller of nonlinear multivariable process using firefly algorithm 非线性多变量过程分散PI控制器的萤火虫算法部分回归

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887816

K. Rangasamy, L. Sivakumar

引用次数: 3

Automation framework for localizability testing of internationalized software 国际化软件本地化测试自动化框架

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887796

J. Archana, Senthil Raja Chermapandan, S. Palanivel

{"title":"Automation framework for localizability testing of internationalized software","authors":"J. Archana, Senthil Raja Chermapandan, S. Palanivel","doi":"10.1109/ICHCI-IEEE.2013.6887796","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887796","url":null,"abstract":"For a widespread usage of the software product, the product should be available and usable in different local languages of different countries. Many companies are planning to or have already invested time and money to internationalize their products and websites and localize them into other languages. When making a product to support multiple languages, there are chances for assumed conventions for a specific language. To ensure that the product is usable anywhere in the world while adapting to the cultural identity of the user we provide an automation framework to check the internationalization functionality of the product. The implementation of our proposed automation framework shows that it can identify the hardcoded content of a specific language, the text that has been over translated for a specific language and the character handling issues for various languages. The framework is flexible as it can be used for any web-based software product. The proposed framework will reduce the time involved in regression testing and with minimal effort the future enhancements of the product can be easily tested.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114309297","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: 8

A novel security approach in the information and communication with cryptanalysis 基于密码分析的信息通信安全新方法

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887767

K. P. Rao, C. Rupa

引用次数: 3

Agent based dynamic load balancing in Cloud Computing 云计算中基于Agent的动态负载均衡

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887799

J. Grover, Shivangi Katiyar

引用次数: 29

Gabor filter and rough clustering based edge detection 基于Gabor滤波和粗糙聚类的边缘检测

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887768

Chandranath Adak

引用次数: 19

RLSAK: A recursive least square approximation with k-means for transformation model estimation in image registration techniques RLSAK:图像配准技术中变换模型估计的递归最小二乘近似

2013 International Conference on Human Computer Interactions (ICHCI) Pub Date : 2013-08-01 DOI: 10.1109/ICHCI-IEEE.2013.6887775

Sistu Ganesh, Nivedita Tripathi, Gineesh Sukumaran

{"title":"RLSAK: A recursive least square approximation with k-means for transformation model estimation in image registration techniques","authors":"Sistu Ganesh, Nivedita Tripathi, Gineesh Sukumaran","doi":"10.1109/ICHCI-IEEE.2013.6887775","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887775","url":null,"abstract":"This paper aims to present a new transformation model estimation frame work for feature based image registration techniques. In general Feature based image registration techniques involves Feature detection, matching, transformation model estimation, image resampling and transformation. Very little work has been done in the area of transformation model estimation compared to wide range of techniques available in Feature Detection and matching. While RANSAC (Random Sample Consensus) and LMS (Least Median of Squares) are the most commonly used methods for robust global transformation estimation in affine and perspective transformations, research is going on for the methods that would do well in the presence of a very high number of outlier data and overcome the disadvantages of these state of art techniques. This motivated us to develop a new algorithm which not only uses the spatial relations between the feature points but also make use of the image intensity profiles for robust model estimation even in presence of outliers. In current approach, first the Euclidean distances created by the matched feature points is clustered and matching error for each cluster is computed using intensity information. The feature point pairs of the cluster having minimum error are retained. Now by applying mean filtering followed by recursive least square approximation, the transformation model is estimated. The efficiency of the proposed methodology is demonstrated on different datasets under different transformations & for different areas of application. The method has shown significant improvements in accuracy compared to other existing techniques even in the presence of large number of outliers.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124014741","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