2011 Third International Conference on Advanced Computing最新文献_第4页

Cloud monitoring and discovery service (CMDS) for IaaS resources IaaS资源的云监控和发现服务(CMDS)

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165199

T. Somasundaram, K. Govindarajan

{"title":"Cloud monitoring and discovery service (CMDS) for IaaS resources","authors":"T. Somasundaram, K. Govindarajan","doi":"10.1109/ICOAC.2011.6165199","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165199","url":null,"abstract":"Cloud Computing is one of the distributed computing paradigms and it is mainly focusing on providing everything as service to the consumers. In Cloud Computing Infrastructure as a Service (IaaS) is one of the service delivery model and it provides computational or storage resources, database and network resources to the users or customers. Eucalyptus is one of the open source cloud middleware, it is capable of creating private cloud inside an organization. The main drawback of the open source toolkit is it does not offer an integral monitoring and discovery service. The scalable monitoring and discovery service is important for managing the cloud resources. The proposed and implemented Cloud Monitoring and Discovery Service (CMDS) integrated with external information provider's discovers the cloud resources in a scalable way. The proposed model is integrated with CARE Resource Broker (CRB) and it is helpful for CRB for making scheduling decisions in cloud resources for virtual resource creation and application execution. The proposed system enhances the throughput of jobs by scaling of resources using CMDS in addition to that it increases the job success ratios of CRB.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134349447","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: 14

Multiple target tracking using Support Vector Machine and data fusion 基于支持向量机和数据融合的多目标跟踪

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165210

S. Vasuhi, V. Vaidehi, Midhunkrishna P R

引用次数: 3

Peformance comparison of Autonomous neural network based GPS/INS integration 基于自主神经网络的GPS/INS集成性能比较

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165209

M. Malleswaran, V. Vaidehi, M. Jebarsi

引用次数: 1

A novel business model for enterprise service logic change management 一种用于企业服务逻辑变更管理的新颖业务模型

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165169

M. Thirumaran, P. Dhavachelvan, G. Aranganayagi, K. Seenuvasan

引用次数: 0

A Modified Directional Weighted Median Filter using second order difference based detection for impulse noise removal 一种改进的基于二阶差分检测的方向加权中值滤波器用于脉冲噪声去除

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165219

R. Rashidha, Philomina Simon

引用次数: 3

An overview of mobility management and integration methods for heterogeneous networks 异构网络的移动性管理和集成方法概述

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165216

T. Sivakami, S. Shanmugavel

引用次数: 5

Multilanguage block ciphering using two dimensional substitution array 使用二维替换数组的多语言块加密

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165159

M. Rajendiran, Assistant Professor, B. Syed, Ibrahim Sr Assistant Professor, R. Pratheesh, Kennnedy C Nelson, Dean Babu, R&d

{"title":"Multilanguage block ciphering using two dimensional substitution array","authors":"M. Rajendiran, Assistant Professor, B. Syed, Ibrahim Sr Assistant Professor, R. Pratheesh, Kennnedy C Nelson, Dean Babu, R&d","doi":"10.1109/ICOAC.2011.6165159","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165159","url":null,"abstract":"In order to send information securely and to protect the same from the understanding of other, people around the world are using the various cryptography method of writing information. But for getting the Cipher by adopting the Multilanguage Encryption Technique (MULET) [1], one has to apply two types of Replacement called ‘Character’ and ‘Numerical’. The resultant Cipher is a stream cipher. The Multilanguage Two Dimensional Array Substitution method (MTDAS), which is being introduced in this article replaces two different arrays in to single two dimensional array, it supports more number of cipher alphabets for the same Mapping array value and it ensures the versatility [6] of the classical cryptography. The resultant Cipher's length will be a block cipher and at the same time it conforms to Multi-language. Hence, others will find it very difficult to understand the information and their efforts to decipher the information will prove futile. By using this new method it is possible to encrypt information in all the languages in the world that are in the Unicode [10].","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115844501","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

Bio-molecular event extraction using Support Vector Machine 基于支持向量机的生物分子事件提取

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165192

S. Saha, A. Majumder, M. Hasanuzzaman, Asif Ekbal

{"title":"Bio-molecular event extraction using Support Vector Machine","authors":"S. Saha, A. Majumder, M. Hasanuzzaman, Asif Ekbal","doi":"10.1109/ICOAC.2011.6165192","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165192","url":null,"abstract":"The main goal of Biomedical Natural Language Processing (BioNLP) is to capture biomedical phenomena from textual data by extracting relevant entities, information and relations between biomedical entities (i.e. proteins and genes). In general, in most of the published papers, only binary relations were extracted. In a recent past, the focus is shifted towards extracting more complex relations in the form of bio-molecular events that may include several entities or other relations. In this paper we propose an approach that enables event extraction (detection and classification) of relatively complex bio-molecular events. We approach this problem as a supervised classificat ion problem and use the well-known algorithm, namely Support Vector Machine (SVM) that makes use of statistical and linguistic features that represent various morphological, syntactic and contextual information of the candidate bio-molecular trigger words. Firstly, we consider the problem of event detection and classification as a two-step process, first step of which deals with the event detection task and the second step classifies these identified events to one of the nine predefined classes. Later on we tr eat this problem as one-step process, and perform event detection and classification together. Three-fold cross validation expe riments on the BioNLP 2009 shared task datasets yield the overall average recall, precision and F-measure values of 62.95%, 74.53%, and 68.25%, respectively, for the event detection. We observed the overall classification accuracy of 72.50%. Evaluation resu lts of the proposed approach when detection and classification are performed together showed the overall recall, precision and F-measure values of 57.66%, 55.87%, and 56.75%, respectively.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114135258","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

E-learning tool for Japanese language learning through English, Hindi and Tamil: A computer assisted language learning (CALL) based approach 通过英语，印地语和泰米尔语进行日语学习的电子学习工具:基于计算机辅助语言学习(CALL)的方法

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165218

S. Tiwari, Sourav Khandelwal, Sanjiban Sekhar Roy

引用次数: 10

Color image compression using multiwavelets with modified SPIHT algorithm 基于改进SPIHT算法的多小波彩色图像压缩

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165178

R. Sudhakar, V. Sudha

{"title":"Color image compression using multiwavelets with modified SPIHT algorithm","authors":"R. Sudhakar, V. Sudha","doi":"10.1109/ICOAC.2011.6165178","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165178","url":null,"abstract":"Color Image compression is now essential for applications such as transmission and storage in data bases since color gives a natural and pleasing nature for any object. For still image compression, the ‘Joint Photographic Experts Group’ standard has been established by International Standards Organization (ISO). The performance of existing image coding standards generally degrades at low bit-rates because of the underlying block based Discrete Cosine Transform (DCT) scheme. Over the past decade, the success of wavelets in solving many different problems has contributed to its unprecedented popularity. Due to implementation constraints, scalar wavelets do not possess all the properties which are needed for a better performance in compression. The new class of wavelets, called multiwavelets, which possess more than one scaling filters overcomes this problem. The objective of this paper is to develop an efficient color compression scheme and to obtain better quality and higher compression ratio through multiwavelet transform and embedded coding of multiwavelet coefficients through Set Partitioning In Hierarchical Trees (SPIHT) algorithm. A comparison of the best known multiwavelets is made to the best known scalar wavelets. Both quantitative and qualitative measures of performance are examined.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115823254","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