2011 Third International Conference on Advanced Computing最新文献

A simple process model generation using a new association rule mining algorithm and clustering approach 使用新的关联规则挖掘算法和聚类方法生成简单的过程模型

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165186

Madderi Sivalingam Saravanan, R. Sree

{"title":"A simple process model generation using a new association rule mining algorithm and clustering approach","authors":"Madderi Sivalingam Saravanan, R. Sree","doi":"10.1109/ICOAC.2011.6165186","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165186","url":null,"abstract":"In the recent research area, the association rule mining is one of the popular technique in the domain of data mining. The association rule mining is first implemented in dyeing unit in my previous research papers. But already this association rule mining technique is used in the area of finance, healthcare, automobile and sales and distribution, etc. In this article, the dyeing process, generate the simple process model for the dyeing unit. The simplified process model is not in the form of diagram, instead rules. These rules are developing using association rule mining algorithms. The process mining algorithms, Heuristic Miner (HM) and Disjunctive Workflow Schema (DWS) are used to generate the association rule mining rules. Hence, the proposed LinkRuleMiner (LRM) association rule mining algorithm is implemented in the dyeing unit using HM or DWS algorithm. The dyeing process is dynamic and unstructured in nature. The dyeing process is recorded and stored in the form of event logs. These event logs are converted in to the log file. These log files are given as input to the LRM algorithm. The LRM algorithm produces the simple association rules. These rules can be easily understood by the dyeing expert called dyer to process the colouring process of the dyeing unit. These generated association rules can also be grouped for the same or different shades using the clustering approach. Therefore, this article simplify the dyeing process using LRM algorithm to give better knowledge to the dyer and to reduce the dyeing processing problems of the dyeing unit.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"4 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":"116982377","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

IATARPA: Implementation of anonymity threat avoidance routing protocol architecture for MANET 面向MANET的匿名威胁避免路由协议体系结构的实现

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165196

D. A. A. G. Singh, E. Leavline

引用次数: 3

A novel framework for E-learning content evaluation 一种新的电子学习内容评估框架

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165200

A. L. A. Adline, G. Mahalakshmi

引用次数: 4

An efficient clusterhead election algorithm based on maximum weight for MANET 基于最大权值的高效簇头选举算法

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165195

P. Sivaprakasam, R. Gunavathi

引用次数: 5

Gene expression data clustering using unsupervised methods 基因表达数据聚类的无监督方法

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165164

T. Chandrasekhar, K. Thangavel, E. Elayaraja

引用次数: 5

A hybrid approach for GPS/INS integration using Kalman filter and IDNN 基于卡尔曼滤波和IDNN的GPS/INS混合集成方法

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165205

M. Malleswaran, V. Vaidehi, M. Mohankumar

引用次数: 10

Zigbee Wireless Sensor Network for better Interactive Industrial Automation Zigbee无线传感器网络为更好的交互式工业自动化

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165193

Dept Of, S. R. Bhagya, Shree Shree

{"title":"Zigbee Wireless Sensor Network for better Interactive Industrial Automation","authors":"Dept Of, S. R. Bhagya, Shree Shree","doi":"10.1109/ICOAC.2011.6165193","DOIUrl":"https://doi.org/10.1109/ICOAC.2011.6165193","url":null,"abstract":"This paper deals with the design of a Modbus Enabled Zigbee Wireless Sensor Network “WSN” for better Interactive Industrial Automation. The Modbus protocol is embedded into Zigbee stack, providing a friendly interface to observe the information in the wireless network efficiently and to provide the On Demand Response to the requests. It consists of a Coordinator and the sensor nodes. The coordinator is a centralized unit which is attached to the monitoring PC. It collects the information from all other nodes on demand and provides to the end user through TCP/IP network. The sensor nodes are made intelligent for controlling the plant. These nodes are attached with the Zigbee for remote controlling in case of changing the preset values and handling any issues. The coordinator is implemented using the ARM9 controller and the Sensor Nodes are implemented using the ARM7 microcontroller. RTLinux is used at the coordinator for real time operations and the Sensor nodes are programmed using the Embedded C. The experimental results obtained demonstrate the usefulness of the proposed system in terms of the low power consumption, low cost, targeted towards automation and remote control applications.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"72 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":"128356342","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: 19

A method to support multi-tenant as a service 一种支持多租户即服务的方法

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165166

O. Pandithurai, M. Poongodi, S. P. Kumar, C. Krishnan

引用次数: 23

Critical components identification and verification for effective software test prioritization 为有效的软件测试优先级确定关键组件的识别和验证

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165171

D. Mala, M. Praba

引用次数: 7

A proficient video encoding system through a novel motion estimation algorithm 通过一种新颖的运动估计算法，实现了一个熟练的视频编码系统

2011 Third International Conference on Advanced Computing Pub Date : 2011-12-01 DOI: 10.1109/ICOAC.2011.6165165

S. A. Padmanabhan, S. Chandramathi

引用次数: 4