2010 Second International Conference on Computer and Network Technology最新文献_第2页

Performance Analysis of Y-Tree on Flash Drives u盘Y-Tree性能分析

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.126

Narong Boonyawat, J. Natwichai

引用次数: 1

Providing Time Based Fairness in Multi Rate Ad Hoc Network 在多速率自组网中提供基于时间的公平性

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.17

S. Varma, V. Tokekar

引用次数: 0

Modeling of Single Phase Inverter of Photovoltaic System Using System Identification 基于系统辨识的光伏系统单相逆变器建模

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.120

N. Patcharaprakiti, K. Kirtikara, D. Chenvidhya, V. Monyakul, B. Muenpinij

引用次数: 28

Towards Forecasting Low Network Traffic for Software Patch Downloads: An ARMA Model Forecast Using CRONOS 预测软件补丁下载的低网络流量:使用CRONOS的ARMA模型预测

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.35

I. Tan, Poo Kuan Hoong, C. Y. Keong

{"title":"Towards Forecasting Low Network Traffic for Software Patch Downloads: An ARMA Model Forecast Using CRONOS","authors":"I. Tan, Poo Kuan Hoong, C. Y. Keong","doi":"10.1109/ICCNT.2010.35","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.35","url":null,"abstract":"The usage of the Internet has become ubiquitous, even for desktop applications to assume that the computer system it is running on is connected to the Internet. Desktop applications rely on the Internet connectivity for software license authentication and also for maintenance through downloading of software patches. However, the latter can pose an annoyance to the user when he or she is relying on the Internet for real-time gaming or during heavy downloading of multimedia files. In this paper, we study the effectiveness of using the ARMA model to provide short range forecasting of Internet network TCP traffic for a single broadband line. The outcome of the research is positive and indicates that a step size of 30 seconds and irrespective of the window size gives the most accurate forecast. Through amplification of the results, this method shows strong indication that it can be implemented by software application developers to determine the most appropriate non-disruptive period to download their software patches. For small sized software patches, the software application can activate the download and a period of 120 seconds would be sufficient.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127509224","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: 8

A Framework for Personalized Information Retrieval Model 个性化信息检索模型框架

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.125

F. Gemechu, Yu Zhang, Liu Ting

引用次数: 7

An Energy-Efficient Clustering Protocol for Wireless Sensor Networks 一种面向无线传感器网络的节能聚类协议

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.85

Yun-Sheng Yen, R. Chang, Sin-Lung Ke

引用次数: 4

Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework 基于计算智能的智能商业智能系统:概念与框架

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.23

Jui-Yu Wu

{"title":"Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework","authors":"Jui-Yu Wu","doi":"10.1109/ICCNT.2010.23","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.23","url":null,"abstract":"Decision making is an important task for enterprise managers, and is typically based on various data sources derived from information systems, such as enterprise resource planning, supply chain management and customer relationship management. Numerous business intelligence tools (BI) thus have been developed to support decision making. Some existing BI tools have several limitations, for example lacking data analysis and visualization capabilities. To increase the data analysis capability of BI tools, this study focuses on efficient data mining tools and presents an intelligent BI system framework based on many computational intelligence paradigms, including a predictor tool based on neuro-computing (cerebellar model articulation controller neural network, CMAC NN), a classifier tool based on neuro-computing (CMAC NN) and optimizer tools based on evolutionary computing and artificial life (such as real-coded genetic algorithm and artificial immune system). The predictor tool can be used to make predictions or conduct time series forecasting, the classifier tool can be applied to solve classification tasks, and the optimizer tools can be employed to optimize the parameter settings of the predictor and classifier tools. The proposed BI system can potentially be considered as an efficient data analysis tool for supporting business decisions.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257984","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: 27

Virtualization: A Survey on Concepts, Taxonomy and Associated Security Issues 虚拟化:概念、分类和相关安全问题综述

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.49

Jyotiprakash Sahoo, Subasish Mohapatra, Radha Lath

引用次数: 321

Buddhist Amulet Recognition System (BARS) 佛教护身符识别系统

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.128

C. Pornpanomchai, Juti Wongkorsub, Terapong Pornaudomdaj, Pimluk Vessawasdi

{"title":"Buddhist Amulet Recognition System (BARS)","authors":"C. Pornpanomchai, Juti Wongkorsub, Terapong Pornaudomdaj, Pimluk Vessawasdi","doi":"10.1109/ICCNT.2010.128","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.128","url":null,"abstract":"There are many kinds of Buddha amulets, which are difficult for people who want to recognize all of them. The objective of this research is to build the computer system that can recognize some Thai Buddhist amulets. Our system is called -Buddhist Amulet Recognition System or BARS¿. It consists of 4 main components; 1) image acquisition, 2) image preprocessing, 3) image recognition, and 4) display result. In image acquisition component, the Buddhist amulet picture is taken by a digital camera with a white paper for the picture background. In image preprocessing component, the Buddhist amulet image is enhanced for improving a recognition precision rate in the next stage. In recognition component, a template matching technique is applied to recognize the Buddhist amulet image. In display result component, a graphic user interface (GUI) is created for displaying the recognition results. We have collected 52 kinds of Buddhist amulets with the total of 318 images for the training data set. We determine correlation value equal to 500 and this program precision equal to 80 percent and take 0.76 milliseconds per image.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133631470","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

A Self-Optimizing Mobility Management Scheme Based on Cell ID Information in High Velocity Environment 高速环境下基于小区ID信息的自优化移动管理方案

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.64

Dongming Su, X. Wen, Haijun Zhang, Wei Zheng

引用次数: 25