2009 International Conference on Advanced Information Networking and Applications Workshops最新文献_第6页

Mapping OWL-S Processes to Multi Agent Systems: A Verification Oriented Approach 将OWL-S过程映射到多代理系统:一种面向验证的方法

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.52

A. Lomuscio, M. Solanki

引用次数: 8

Fault Tolerance Small-World Cellular Neural Networks for Inttermitted Faults 间歇性故障的容错小世界细胞神经网络

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.70

Katsuyoshi Matsumoto, M. Uehara, H. Mori

引用次数: 0

Applications of Wireless Sensor Networks in Pharmaceutical Industry 无线传感器网络在制药工业中的应用

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.193

M. Potdar, Atif Sharif, V. Potdar, E. Chang

{"title":"Applications of Wireless Sensor Networks in Pharmaceutical Industry","authors":"M. Potdar, Atif Sharif, V. Potdar, E. Chang","doi":"10.1109/WAINA.2009.193","DOIUrl":"https://doi.org/10.1109/WAINA.2009.193","url":null,"abstract":"Pharmaceutical and healthcare industries are highly regulated industries in each and every nation around the globe. Every nation has a governing body like USFDA, TGA, and M.H.R.A, Schedule-M etc. that assures that the medicines are manufactured under strict guidelines to ensure highest quality of manufactured products. However assuring high quality products requires that the manufacturing facility is monitored 24x7 and this monitoring requires the use of high end networking technology. Currently pharmaceutical plants capture this information using a number of scalar sensors that measure temperature, pressure, humidity etc. In some developing nations this sensed information is manually recorded by a supervisor in charge. This often results in data entry errors that need to be addressed. This paper aims at identifying current technologies that can be used by Indian Pharmaceutical Industries to capture this information and process it in real time to provide the kind of track and trace which so far is not implemented in majority of Indian pharmaceutical companies. We specifically focus on identifying the importance of Wireless Sensor Networks and how it can be implemented in pharmaceutical manufacturing plants.","PeriodicalId":159465,"journal":{"name":"2009 International Conference on Advanced Information Networking and Applications Workshops","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128198728","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: 20

Handling Context in a Semantic-Based Access Control Framework 在基于语义的访问控制框架中处理上下文

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.87

M. Ehsan, M. Amini, R. Jalili

引用次数: 9

A Distributed Application-Level IT System Workload Generator 分布式应用级IT系统工作负载生成器

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.121

C. Mueller, M. Horie, S. Neville

引用次数: 1

Analysis of the Weighted Fair Queuing System with Two Classes of Customers with Finite Buffer 两类有限缓冲顾客的加权公平排队系统分析

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.43

Amina Al-Sawaai, I. Awan, R. Fretwell

引用次数: 10

Pico Cellular MAC Protocol for Multimedia Communication 多媒体通信的微蜂窝MAC协议

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.170

B. Qazi, Ángela A. de Grado Vivero, O. Alani, J. Elmirghani

引用次数: 2

Performance Evaluation Based on Simulation of Improving Dynamic Probabilistic Flooding in MANETs 基于改进动态概率泛洪仿真的manet性能评价

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.78

Abdalla M. Hanashi, I. Awan, M. Woodward

引用次数: 5

SVM Fuzzy Hierarchical Classification Method for Multi-class Problems 多类问题的SVM模糊层次分类方法

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.50

Taoufik Guernine, K. Zeroual

{"title":"SVM Fuzzy Hierarchical Classification Method for Multi-class Problems","authors":"Taoufik Guernine, K. Zeroual","doi":"10.1109/WAINA.2009.50","DOIUrl":"https://doi.org/10.1109/WAINA.2009.50","url":null,"abstract":"In this paper we present a new fuzzy classification method based on Support Vector Machine (SVM) to treat multi-class problems. Generally, SVMs classifiers are designed to solve binary classification problem. In order to handle multi-class classification problem, we present a new method to build dynamically a fuzzy hierarchical structure from the training data. Our method is based on two main concepts: Fuzzy hierarchical classification and Support Vector Machine. First, the fuzzy hierarchical classification consists in finding relationships between objects. We introduce the transitive closure measure to discover fuzzy similarity between objects. Second, SVM is applied at each node of the hierarchy to discriminate between objects. SVM is used to divide the original problem into sub-problems. We combine multiple binary SVMs to solve multi-class classification. We use equivalence classes to regroup similar objects into single class. Finally, we get a direct hierarchy of classes. Our experimental results show that the proposed model of fuzzy classification is very effective and efficient to handle multiclass problem.","PeriodicalId":159465,"journal":{"name":"2009 International Conference on Advanced Information Networking and Applications Workshops","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115569490","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

Mixing Scores from Artificial Neural Network and Social Network Analysis to Improve the Customer Loyalty 人工神经网络与社会网络混合得分分析提高顾客忠诚度

2009 International Conference on Advanced Information Networking and Applications Workshops Pub Date : 2009-05-26 DOI: 10.1109/WAINA.2009.16

C. A. R. Pinheiro, M. Helfert

{"title":"Mixing Scores from Artificial Neural Network and Social Network Analysis to Improve the Customer Loyalty","authors":"C. A. R. Pinheiro, M. Helfert","doi":"10.1109/WAINA.2009.16","DOIUrl":"https://doi.org/10.1109/WAINA.2009.16","url":null,"abstract":"Due to the increased competition in the telecommunications, customer relation and churn management is one of the most crucial aspects for companies in this sector. Over the last decades, researchers have proposed many approaches to detect and model historical events of churn. Traditional approaches, like neural networks, aim to identify behavioral pattern related to the customers. This kind of supervised learned model is suitable to establish likelihood assigned to churn. Although these models can be effective in terms of predictions, they just present the isolated likelihood about the event. However these models do not consider the influence among the customers. Based on the churn score, companies are able to perform an efficient process to retain different types of customer, according to their value in any corporate aspects. Social network analysis can be used to enhance the knowledge related to the customers' influence in an internal community. This new proposition to valuate the customers can arise distinguishes aspects about the virtual communities inside the telecom networks, allowing companies to establish more effective action plans to enhance the customer loyalty process. Combined scores from predictive modeling and social network analysis can create a new customer centric view, based on individual pattern recognition and community overview understanding. The combination of scores provided by the predictive model and the social network analysis can optimize the offerings to retain the customer, increasing the profit and decreasing the cost assigned to the marketing campaigns.","PeriodicalId":159465,"journal":{"name":"2009 International Conference on Advanced Information Networking and Applications Workshops","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115577438","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: 6