2012 Fourth International Conference on Advanced Computing (ICoAC)最新文献_第4页

Localized matching model for plant prediction using incremental clustering 基于增量聚类的植物预测局部匹配模型

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416804

A. Meenakshi, V. Mohan

引用次数: 1

Atmospheric correction of remotely sensed multispectral satellite images in transform domain 变换域遥感多光谱卫星影像大气校正

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416849

S. GandhimathiaUsha, S. Vasuki, G. Ariputhiran

引用次数: 2

Where are you? A location awareness system 你在哪里?位置感知系统

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416798

N. Kumar

引用次数: 7

SVM-instance based approach to improve QoS parameters for time critical applications in WSN 基于svm实例的无线传感器网络时间关键应用QoS参数改进方法

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416862

V. Chitra, M. Sumalatha

引用次数: 2

Automata resulting from graph operations 由图运算产生的自动机

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416861

J. Julie, J. B. Babujee

引用次数: 1

FASO-ECP: Fast adaptive and self organized — Enhanced clustering protocol based routing for DTMN FASO-ECP:基于DTMN路由的快速自适应和自组织增强集群协议

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416806

G. Thomas, J. Veerappan

{"title":"FASO-ECP: Fast adaptive and self organized — Enhanced clustering protocol based routing for DTMN","authors":"G. Thomas, J. Veerappan","doi":"10.1109/ICOAC.2012.6416806","DOIUrl":"https://doi.org/10.1109/ICOAC.2012.6416806","url":null,"abstract":"Delay Tolerant Mobile Network is an approach of computer networks which lack of continuous network connectivity due to its intermittent characteristics of network partitioning. The issues of DTMN is how to maintain, update, and stabilize the mobile nodes present and perform better routing of packets without any packet loss. Our paper addresses this issue of DTMN by defining the basic idea of grouping mobile nodes with similar clustering mobility pattern into a clustering group before routing a packet with high end to end and packet delivery ratio. The initial process starts by identifying similar mobility pattern defined with eminent pair-wise contact probabilities with different mobile nodes with FASO-ECP based EWMA algorithm, if a node wants to be a member of a cluster it should have higher contact probability value than the preset threshold value. Every time the contact probability is updated to have better clustering pattern. Thus after the cluster pattern identification, an adaptive method with Cluster selection and gateway formation being carried out to define the route from source to destination. And Hello packets being added to check for node existence status. Finally the Routing of packets will be done through a best possible route to reach the destination with a better packet delivery rate.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121103527","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: 3

Improved Question Answering System by semantic refomulation 基于语义重组的改进问答系统

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416824

Muthukrishanan Umamehaswari, M. Ramprasath, S. Hariharan

{"title":"Improved Question Answering System by semantic refomulation","authors":"Muthukrishanan Umamehaswari, M. Ramprasath, S. Hariharan","doi":"10.1109/ICOAC.2012.6416824","DOIUrl":"https://doi.org/10.1109/ICOAC.2012.6416824","url":null,"abstract":"A unbearable amount of textual information accessible in electronic form and need to deliver correct answer to user question is important task in Question Answering System (QAS). Question answer system is the form of information retrieval system which aims to deliver the exact answer to the user question rather than whole document. To answer this user need semantic based reformulation techniques can be used to retrieve the accurate answer from enormous number of document retrieved from the search engine. The goal is to generate the pattern from the web based on lexical semantic and syntactic constrain. These constrain should be defined in the question answering system to evaluate and rank the candidate answer. Here we used TREC-8, TREC-9, and TREC-10 collection as training set. Different types of question and corresponding answer can use from TREC collection. The proposed system retrieves the answer automatically from TREC collection. Word net can be used to help the semantic relation and syntactic tag between the questions and answer pair. Finally weight can be given to each candidate answer according to their length, the level of semantic similarity between question and answer pair and distance between the key word. The proposed QAS be different from other reformulation based Question answering system. The experiments on the TREC data set will show the better result which can be calculated with help of the precision and recall.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125434359","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: 22

Vehicle detection in aerial surveillance using morphological shared-pixels neural (MSPN) networks 形态学共享像素神经网络(MSPN)在空中监视中的车辆检测

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416821

T. Bharathi, S. Yuvaraj, D. Steffi, S. Perumal

引用次数: 4

Analytical techniques to characterize and optimize the performance of sensor network systems 表征和优化传感器网络系统性能的分析技术

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416807

E. Janani, P. Ganeshkumar

{"title":"Analytical techniques to characterize and optimize the performance of sensor network systems","authors":"E. Janani, P. Ganeshkumar","doi":"10.1109/ICOAC.2012.6416807","DOIUrl":"https://doi.org/10.1109/ICOAC.2012.6416807","url":null,"abstract":"The next generation of wireless sensor networks will monitor critical infrastructure, collect vital signs from patients, and disseminate medical and planning information during emergency responses. In contrast to earlier wireless sensor networks for which best-effort services were sufficient, such systems require predictable performance and high reliability. Failure to meet these requirements may have significant adverse effects. This paper aims at the development of an engineering methodology for predictable wireless sensor networks. A predictable wireless sensor network is a system for which it is possible to check that its requirements are met under reasonable assumptions regarding its workload and network properties. This project enables the development of predictable wireless sensor networks by providing developers with analytical tools to characterize and optimize the performance of sensor network systems. The intellectual merit of the paper includes: (i) Statistical methods for assessing the properties of wireless sensor networks and for provisioning resources to achieve robustness in spite of node failures or temporal variations; (ii) Novel transmission scheduling techniques that ensure a system meets its reliability and real-time requirements; (iii) A new schedulability analysis that bounds network capacity and message latencies under realistic interference models; and (iv) A wireless architecture that instantiates proposed transmission scheduling techniques and the schedulability analysis. In terms of broader impacts, this project will help us to make advancements in our national capability to develop performance-critical wireless systems. The simulation results shown have proved all the considerations made in the paper.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115022187","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

Enhanced position updation in manet using self adaption 利用自适应增强了马奈的位置更新

2012 Fourth International Conference on Advanced Computing (ICoAC) Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416832

P. Reshma, S. Bharathi

{"title":"Enhanced position updation in manet using self adaption","authors":"P. Reshma, S. Bharathi","doi":"10.1109/ICOAC.2012.6416832","DOIUrl":"https://doi.org/10.1109/ICOAC.2012.6416832","url":null,"abstract":"Geographic routing has been widely hailed as the most promising approach to generally scalable wireless routing. It has been a big challenge to develop a routing protocol that can meet different application needs and optimize routing paths according to the topology changes in mobile ad hoc networks. However, there is a lack of holistic design for geographic routing to be more efficient and robust in a dynamic environment. Inaccurate local and destination position information can lead to inefficient geographic forwarding and even routing failure. The use of proactive fixed-interval beaconing to distribute local positions introduces high overhead when there is no traffic and cannot capture the topology changes under high mobility. In this work, two self-adaptive on-demand geographic routing schemes are proposed which build efficient paths based on the need of user applications and adapt to various scenarios to provide efficient and reliable routing. On-demand routing mechanism in both protocols reduces control overhead compared to the proactive schemes which are normally adopted in current geographic routing protocols. The route optimization scheme adapts the routing path according to both topology changes and actual data traffic requirements. The simulation studies demonstrate that the proposed routing protocols are more robust and outperform the existing geographic routing protocol and conventional on-demand routing protocols under various conditions including different mobilities, node densities and traffic loads. Specifically, the proposed protocols could reduce the packet delivery latency up to 80 percent as compared to GPSR at high mobility. Both routing protocols could achieve about 98 percent delivery ratios, avoid incurring unnecessary control overhead, have very low forwarding overhead and transmission delay in all test scenarios.","PeriodicalId":286985,"journal":{"name":"2012 Fourth International Conference on Advanced Computing (ICoAC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851979","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