2010 IEEE 2nd International Advance Computing Conference (IACC)最新文献

A new approach on co-ordinate based routing protocol for mobile networks 移动网络中基于坐标路由协议的一种新方法

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5423016

P. Thakurta, R. Poddar, Subhansu Bandyopadhyay

引用次数: 9

Improved k-medoids clustering based on cluster validity index and object density 基于聚类有效性指标和目标密度的改进k-medoids聚类

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5422924

B. Pardeshi, Durga Toshniwal

{"title":"Improved k-medoids clustering based on cluster validity index and object density","authors":"B. Pardeshi, Durga Toshniwal","doi":"10.1109/IADCC.2010.5422924","DOIUrl":"https://doi.org/10.1109/IADCC.2010.5422924","url":null,"abstract":"Clustering is the process of classifying objects in to different groups by partitioning sets of data into a series of subsets called clusters. Clustering has taken its roots from algorithms like k-means and k-medoids. However conventional k-medoids clustering algorithm suffers from many limitations. Firstly, it needs to have prior knowledge about the number of cluster parameter k. Secondly, it also initially needs to make random selection of k representative objects and if these initial k medoids are not selected properly then natural cluster may not be obtained. Thirdly, it is also sensitive to the order of input dataset. First limitation was removed by using cluster validity index. Aiming at the second and third limitations of conventional k-medoids, we have proposed an improved k-medoids algorithm. In this work instead of random selection of initial k objects as medoids we have proposed a new technique for the initial representative object selection. The approach is based on density of objects. We find out set of objects which are densely populated and choose medoids from each of this obtained set. These k data objects selected as initial medoids are further used in clustering process. The validity of the proposed algorithm has been proved using iris and diet structure dataset to find the natural clusters in this datasets.","PeriodicalId":249763,"journal":{"name":"2010 IEEE 2nd International Advance Computing Conference (IACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129001378","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: 21

Tamperproof watermarking of 3D models using hausdorff distance 基于豪斯多夫距离的三维模型防篡改水印

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5423040

M. Motwani, B. Sridharan, R. Motwani, F. Harris

引用次数: 0

A mathematical model for crawler revisit frequency 爬虫重访频率的数学模型

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5422936

A. Dixit, A. Sharma

引用次数: 15

Fuzzy logic based effective bidding range computation and bidder's behavior estimation in keyword auctions 基于模糊逻辑的关键词拍卖有效竞价范围计算与竞价人行为估计

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5422937

Madhu Kumari, K. K. Bharadwaj

{"title":"Fuzzy logic based effective bidding range computation and bidder's behavior estimation in keyword auctions","authors":"Madhu Kumari, K. K. Bharadwaj","doi":"10.1109/IADCC.2010.5422937","DOIUrl":"https://doi.org/10.1109/IADCC.2010.5422937","url":null,"abstract":"Keyword auctions are being used to sell the positions along the side of organic results shown by search engine when user types a keyword or a query related to keyword in a search engine. It has been a huge revenue generating arena for search engines since last decade. Irrespective of the great success of these types of auctions there are certain research issues which are still in inchoate state and needs urgent attention of research communities e.g. how much a naive bidder should bid without referring to any complex agents, how much he/she will be minimally charged for the participation etc. In this paper we propose a novel scheme to compute effective bidding range based on fuzzy logic which has threefold advantages. Firstly, it provides bidders with the information of his effective range of bids which can ensure his chances of participation and winning. Secondly, it provides auctioneer with the information about bidders bidding behavior which can help in predicting their revenues and lastly it can enforce the minimum reservation prices in natural way. Experimental results are presented to illustrate working of the proposed scheme.","PeriodicalId":249763,"journal":{"name":"2010 IEEE 2nd International Advance Computing Conference (IACC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116263364","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

Handling imprecision in inputs using fuzzy logic to predict effort in software development 使用模糊逻辑来处理输入中的不精确，以预测软件开发中的工作量

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5422889

H. Verma, Vishal Sharma

{"title":"Handling imprecision in inputs using fuzzy logic to predict effort in software development","authors":"H. Verma, Vishal Sharma","doi":"10.1109/IADCC.2010.5422889","DOIUrl":"https://doi.org/10.1109/IADCC.2010.5422889","url":null,"abstract":"Accurate, precise and reliable estimates of effort at early stages of project development holds great significance for the industry to meet the competitive demands of today's world. The inherent imprecision present in the inputs of the algorithmic models like Constructive Cost Model (COCOMO) yields imprecision in the output, resulting in erroneous effort estimation. The development of software is characterized by parameters that possess certain level of fuzziness which requires that some degree of uncertainty be introduced in the models, in order to make the models realistic. Fuzzy logic based cost estimation models enable linguistic representation of the input and output of a model to address the vagueness and imprecision in the inputs, to make reliable and accurate estimates of effort. In this paper, we present an enhanced fuzzy logic based framework for software development effort prediction. The intermediate COCOMO is extended in the proposed study by incorporating the concept of fuzziness into the measurements of size, mode of development for projects and the cost drivers contributing to the overall development effort. The said framework tolerates imprecision, incorporates experts knowledge, explains prediction rationale through rules, offers transparency in the prediction system, and could adapt to changing environments with the availability of new data.","PeriodicalId":249763,"journal":{"name":"2010 IEEE 2nd International Advance Computing Conference (IACC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134085378","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: 28

Untyped Aspect Calculus : Formal theory of aspect-oriented programming languages 无类型方面演算:面向方面编程语言的形式化理论

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5423012

D. Gopalani, Mahesh Chandra Govil

引用次数: 2

A revitalized interprocedural slicing in the presence of derived and user defined data types 在存在派生数据类型和用户定义数据类型的情况下，重新启用了过程间切片

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5423038

S. Pani, M. Mohanty

引用次数: 0

Impact of coordinator mobility on the throughput in a ZigBee mesh networks ZigBee网状网络中协调器移动性对吞吐量的影响

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5422995

Harsh Dhaka, Atishay Jain, Karun Verma

引用次数: 38

Out-of-core assessment of clustering tendency for large data sets 大型数据集聚类倾向的核外评估

2010 IEEE 2nd International Advance Computing Conference (IACC) Pub Date : 2010-03-01 DOI: 10.1109/IADCC.2010.5423044

M. K. Pakhira

引用次数: 4