2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)最新文献

A bio inspired algorithm for solving optimization problems 解决优化问题的生物启发算法

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075211

K. K. Mishra, S. Tiwari, A. Misra

引用次数: 33

Leakage power and delay analysis of LECTOR based CMOS circuits 基于LECTOR的CMOS电路的漏功率和延迟分析

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075117

Preeti Verma, R. Mishra

引用次数: 42

From Internet of Things towards cloud of things 从物联网走向物云

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075156

P. Parwekar

引用次数: 152

Particle swarm optimization based fuzzy frequent pattern mining from gene expression data 基于粒子群算法的基因表达模糊频繁模式挖掘

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075204

Shruti Mishra, Debahuti Mishra, S. Satapathy

{"title":"Particle swarm optimization based fuzzy frequent pattern mining from gene expression data","authors":"Shruti Mishra, Debahuti Mishra, S. Satapathy","doi":"10.1109/ICCCT.2011.6075204","DOIUrl":"https://doi.org/10.1109/ICCCT.2011.6075204","url":null,"abstract":"The FP-growth algorithm is currently one of the fastest approaches to frequent item set mining. Fuzzy logic provides a mathematical framework where the entire range of the data lies in between 0 and 1. The PSO algorithm was developed from observations of the social behavior of animals, including bird flocking and fish schooling. It is easier to implement than evolutionary algorithms because it only involves a single operator for updating solutions. In contrast, evolutionary algorithms require a particular representation and specific methods for cross-over, mutation, and selection. Furthermore, PSO has been found to be very effective in a wide variety of applications, being able to produce good solutions at a very low computational cost. In this paper, we have considered the fuzzified dataset and have implemented various frequent pattern mining techniques. Out of the various frequent pattern mining techniques it was found that Frequent Pattern (FP) growth method yields us better results on a fuzzy dataset. Here, the frequent patterns obtained are considered as the set of initial population. For the selection criteria, we had considered the mean squared residue score rather using the threshold value. It was observed that out of the four fuzzy based frequent mining techniques, the PSO based fuzzy FP growth technique finds the best individual frequent patterns. Also, the run time of the algorithm and the number of frequent patterns generated is far better than the rest of the techniques used.","PeriodicalId":285986,"journal":{"name":"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879902","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: 13

An elitist artificial bee colony algorithm for combined economic emission dispatch incorporating wind power 风电联合经济排放调度的精英人工蜂群算法

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075213

H. T. Jadhav, J. Patel, U. Sharma, R. Roy

引用次数: 7

An accelerated clustering algorithm for segmentation of grayscale images 灰度图像分割的加速聚类算法

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075210

Sitanshu Gupta, V. Srivatava

引用次数: 1

Simulation and optimization of lightly-doped ultra-thin Triple Metal Double Gate (TM-DG) MOSFET with high-K dielectric for diminished short channel effects 具有高k介电介质的轻掺杂超薄三金属双栅MOSFET的仿真与优化

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075167

S. Gupta, A. Baidya, S. Baishya

引用次数: 5

High impact event processing using incremetal clustering in unsupervised feature space through genetic algorithm by selective repeat ARQ protocol 基于选择性重复ARQ协议的遗传算法的无监督特征空间增量聚类高影响事件处理

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075159

P. Sethi, C. Dash

{"title":"High impact event processing using incremetal clustering in unsupervised feature space through genetic algorithm by selective repeat ARQ protocol","authors":"P. Sethi, C. Dash","doi":"10.1109/ICCCT.2011.6075159","DOIUrl":"https://doi.org/10.1109/ICCCT.2011.6075159","url":null,"abstract":"High impact event represents the information which are frequently used. The frequently used information is maintained in different clusters such that it can be accessed quickly without involving much searching time. Clustering methods are one of the key steps that lead to the transformation of data to knowledge. Clustering algorithms aims at partitioning an initial set of objects into disjoint groups (clusters) such that objects in the same subset are more similar to each other than objects in different groups. In this paper we present a generalization of the k-Windows clustering algorithm in metric spaces by following a selective Repeat ARQ protocol having fixed window size for accurate information transmission. The original algorithm was designed to work on data with numerical values. The proposed generalization does not assume anything about the nature of the data, but only considers the distance function over the data set. The efficiency of the proposed approach is demonstrated on msnbc data sets. Genetic algorithm approach is used to detect and predict high-impact events in different areas such as automotive manufacturing, networking for data transmission, etc. While the high-impact events occurs infrequently, they are quite costly, means they have high-impact on the system key performance indicator. This approach is based on mining these types of events and its impact on the total process execution. The classified data are clustered for future implementation which have similar feature. Due to the clustering concept the clustered data can be used for various applications, which makes it robust. The parameters are optimized for best solution. This approach is tested on high impact events that occurs in networking, during transmission and it was found to be robust, highly accurate and with less probability of fault, for prediction of future occurrences of such events.","PeriodicalId":285986,"journal":{"name":"2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116983483","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

CTES based secure approach for authentication and authorization of resource and service in clouds 基于CTES的云资源和服务的安全认证和授权方法

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075140

S. Pippal, Aruna Kumari, D. S. Kushwaha

引用次数: 18

Recognition of bangla basic characters using multiple classifiers 基于多分类器的孟加拉语基本字识别

2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011) Pub Date : 2011-11-10 DOI: 10.1109/ICCCT.2011.6075179

P. Das, Suchandra Paul, R. Ghoshal

引用次数: 4