2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)最新文献_第7页

Enhanced fast emergency path schema (EFEP-S) to redcue packet loss during multiple independent link failure in OSPF routing 增强快速应急路径模式EFEP-S (Enhanced fast emergency path schema)，减少OSPF路由中多条独立链路故障时丢包的情况

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726764

V. Janani, R. Chandrasekar

引用次数: 1

Double threshold energy aware load balancing in cloud computing 云计算中的双阈值能量感知负载均衡

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726664

Jayant Adhikari, S. Patil

引用次数: 40

Globular topology of large scale WSN for efficient load balancing using multiple sink node 基于多汇聚节点的大规模无线传感器网络的全局拓扑结构

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726754

S. Prabhavathi, A. Rao, A. Subramanyam

引用次数: 2

Objective assesment of different segmentation algorithm for underwater images 客观评价不同的水下图像分割算法

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726489

Jayanta Acharya, S. Gadhiya, Kapil S. Raviya

{"title":"Objective assesment of different segmentation algorithm for underwater images","authors":"Jayanta Acharya, S. Gadhiya, Kapil S. Raviya","doi":"10.1109/ICCCNT.2013.6726489","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726489","url":null,"abstract":"The quality of underwater images is directly affected by water medium, atmosphere medium, pressure and Temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentation is the most practical approach among virtually all automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. Different segmentation techniques are available in the literature for segmenting or simplifying the underwater images. The performance of an image segmentation algorithm depends on its simplification of image. In this paper, different segmentation algorithms namely, edge based image segmentation, adaptive image thresolding, K-means segmentation, Fuzzy c means(FCM), and Fuzzy C Means with thresholding (FCMT) are implemented for underwater images and they are compared using objective assesment parameter like Energy, Discrete Entropy, Relative Entropy, Mutual Information and Redundancy. Out of the above methods the experimental results show that Fuzzy C means with Thresholding (FCMT) algorithm performs better than other methods in processing underwater images.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88293076","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: 5

A novel approach for USB2.0 validation on System on Chip USB2.0在片上系统验证的新方法

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726615

M. Pandey, Shwetank Shekhar, Joginder Singh, G. Agarwal, Nitin Saxena

引用次数: 4

Querying RDF and OWL data source using SPARQL 使用SPARQL查询RDF和OWL数据源

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726698

Naveen Kumar, Suresh Kumar

引用次数: 14

An algorithm to enhance security in RSA RSA中增强安全性的一种算法

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726517

Rohit Minni, Kaushal Sultania, Saurabh Mishra, D. Vincent

引用次数: 44

A survey on scalable image indexing and searching 可扩展图像索引与检索的研究进展

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726512

S. Suchitra, S. Chitrakala

引用次数: 4

Packet hiding using cryptography with advanced key management against counter jamming attacks in wireless sensor networks 无线传感器网络中采用先进密钥管理和加密技术的数据包隐藏

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726540

S. Swaminathan, S. Suganya, K. Ambika

引用次数: 1

Performance analysis of branch-and-bound approach with various model-selection clustering techniques for image data point 基于不同模型选择聚类技术的分支定界方法对图像数据点的性能分析

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI: 10.1109/ICCCNT.2013.6726522

C. S. Sasireka, P. Raviraj

{"title":"Performance analysis of branch-and-bound approach with various model-selection clustering techniques for image data point","authors":"C. S. Sasireka, P. Raviraj","doi":"10.1109/ICCCNT.2013.6726522","DOIUrl":"https://doi.org/10.1109/ICCCNT.2013.6726522","url":null,"abstract":"In data mining context, for efficient data analysis recent researchers utilized branch-and-bound methods such as clustering, seriation and feature selection. Traditional cluster search was done with different partitioning schemes to optimize the cluster formation. Considering image data, partitioning approaches seems to be computationally complex due to large data size, and uncertainty of number of clusters. Recent work presented a new version of branch and bound model called model selection problem, handles the clustering issues more efficiently. For model-based clustering problems, to assign data point to appropriate cluster, cluster parameters should be known. Cluster parameters are computed only if the cluster assignments are known. Data point is assigned to the cluster based on most matching model such as Navigation and Cost Model, Segment Representation in SwiftRule and Analytic model. If the problem-specific bounds and/or added heuristics in the data points of the domain area get surmounted, memory overheads, specific model selection, and uncertain data points cause various clustering abnormalities. In addition cluster validity and purity needs to be testified for efficiency of problem-specific bound on certain domain areas of image data clustering. Experimental evaluation on the model selection approach of cluster model shows the improvement in accuracy, computational complexity and execution time, when compared to Navigation and Cost Model, Segment Representation in SwiftRule and Analytic model.","PeriodicalId":6330,"journal":{"name":"2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)","volume":"53 3 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77309755","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