{"title":"Designing Fault Tolerant Web Services Using BPEL","authors":"Jim Lau, L. Lung, J. Fraga, G. Veronese","doi":"10.1109/ICIS.2008.65","DOIUrl":"https://doi.org/10.1109/ICIS.2008.65","url":null,"abstract":"The Web services technology provides an approach for developing distributed applications by using simple and well defined interfaces. Due to the flexibility of this architecture, it is possible to compose business processes integrating services from different domains. This paper presents an approach, which uses the specification of services orchestration, in order to create a fault tolerant model combining active and passive replication technique. This model support fault of crash. The characteristics and the results obtained by implementing this model are described along this paper.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126627904","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}
{"title":"Region-Based Image Fusion Approach Using Iterative Algorithm","authors":"Z. Yingjie, Ge Li-ling","doi":"10.1109/ICIS.2008.27","DOIUrl":"https://doi.org/10.1109/ICIS.2008.27","url":null,"abstract":"A feature-level image fusion scheme based on segmentation and iterative fashion is introduced in this paper. In this scheme, a total variation based energy model is proposed to estimate the contribution of each feature on the source images, the features are obtained based on segmentation of the source image. A larger energy indicates the feature with a strong pattern on its associated region. Furthermore fusion strategies may be performed by measuring the contributions of the associated features on the images. Different from previous methods, measurement of the contributions of the features in proposed are performed when the features has been fused. Therefore a global optimization could be achieved. In order to keep a low computational cost, the orders of regions have not been considered in current research. Even so, better results have been obtained on several test images, and the performance assessment of the final fusion results also are evaluated by using several classical evaluation methods like Root Mean Square Error and Peak Signal to Noise Ratio.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126723398","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}
{"title":"Ensemble Methods for Ontology Learning - An Empirical Experiment to Evaluate Combinations of Concept Acquisition Techniques","authors":"Ricardo Gacitúa, P. Sawyer","doi":"10.1109/ICIS.2008.94","DOIUrl":"https://doi.org/10.1109/ICIS.2008.94","url":null,"abstract":"Most approaches to ontology learning combine techniques from different areas (hybrid approaches) to increase the efficiency of the ontology learning process. However, the results from the ontology learning process do not fully satisfy the users at present. An important problem is that there is a lack of quantitative and comparative data about the efficiency of techniques and technique combinations applied to ontology learning. In this paper we present a quantitative comparison of technique combinations for concept extraction and a software system (OntoLancs) to support the evaluation of techniques. By applying OntoLancs, users are able to assist the process of building ontologies by semi- automatically acquiring concepts from large-scale domain document collections and experiment with different combinations of knowledge acquisition techniques to refine and organize domain concepts into a taxonomy. Quantitative and comparative studies about the performance of several techniques and user experiences indicate the applicability and usefulness of our approach.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116160816","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}
{"title":"SIMPA: A SIP-Based Mobile Payment Architecture","authors":"Ge Zhang, Feng Cheng, C. Meinel","doi":"10.1109/ICIS.2008.80","DOIUrl":"https://doi.org/10.1109/ICIS.2008.80","url":null,"abstract":"In recent years, many mobile payment (MP) schemes have been proposed and used in practise. However, a prerequisite for extended acceptance and adoption of MP technologies is to deploy an effective MP system. So far, there is no such a standardised and scalable MP platform. Most current MP schemes are circumscribed by its mobile network infrastructures. Fortunately, the fast advancement of 3G technology equips next generation mobile phone network more benefits. Following this direction, we propose SIMPA - A SIP-based Mobile Payment Architecture for next generation mobile network, which not only supports P2P payment communications between customers and merchants using Session Initiation Protocol (SIP), but also supports several traditional Internet security protocols, to enhance privacy, confidentiality and integrity during the transaction. This paper depicts detailed protocol and system architecture of SIMPA. Some application examples from customers' view are shown to demonstrate its function and feature.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123789569","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}
{"title":"Relevance-Feedback Image Retrieval Based on Multiple-Instance Learning","authors":"D. Tran, S. R. Pamidimukkala, P. Nguyen","doi":"10.1109/ICIS.2008.83","DOIUrl":"https://doi.org/10.1109/ICIS.2008.83","url":null,"abstract":"This paper describes the development of a novel content-based image retrieval system using Multiple-Instance Learning (MIL). MIL is designed for learning on bags, each composed of a number of instances (i.e., feature vectors). For a given bag, one or more instances may be responsible for the observed classification of the bag, but their identities are unknown. What we can observe is only the label of the bag and our aim is to predict the label of any given new bag. The image retrieval problem can be mapped to an MIL problem. Our contribution is a new way to improve the effectiveness of MIL in image retrieval. We have implemented a Web-based relevance-feedback image search system to illustrate the proposed idea, which shows that the search accuracy is encouraging.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133527653","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}
{"title":"Temperature Control for the Thermal Cycling of Polymerase Chain Reaction","authors":"Jinhe Wang, N. Zhang","doi":"10.1109/ICIS.2008.113","DOIUrl":"https://doi.org/10.1109/ICIS.2008.113","url":null,"abstract":"DNA is a double-stranded chain of nucleotides, in order to make a huge number of copies of DNA segments, polymerase chain reaction (PCR) is the easy method for generating copies of DNA by rapid heating and cooling controlled automatically. Based on the properties of the thermal cycling of PCR, a rational approach for the temperature control of the PCR device is proposed, it consists of Feed-forward, Bang-bang and adaptive PID controller. The experimental results demonstrate that the proposed control method is more stable and efficient. Index terms- Polymerase chain reaction, thermal cycling, temperature control, adaptive PID.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"95 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094256","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}
{"title":"An Improved Condensing Algorithm","authors":"Xiulan Hao, Chenghong Zhang, Hexiang Xu, Xiaopeng Tao, Shuyun Wang, Yunfa Hu","doi":"10.1109/ICIS.2008.67","DOIUrl":"https://doi.org/10.1109/ICIS.2008.67","url":null,"abstract":"kNN classifier is widely used in text categorization, however, kNN has the large computational and store requirements, and its performance also suffers from uneven distribution of training data. Usually, condensing technique is resorted to reducing the noises of training data and decreasing the cost of time and space. Traditional condensing technique picks up samples in a random manner when initialization. Though random sampling is one means to reduce outliers, the extremely stochastic may lead to bad performance sometimes, that is, advantages of sampling may be suppressed. To avoid such a misfortune, we propose a variation of traditional condensing technique. Experiment results illustrate this strategy can solve above problems effectively.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831791","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}
{"title":"Subspace Clustering of High Dimensional Data Streams","authors":"Shuyun Wang, Yingjie Fan, Chenghong Zhang, Hexiang Xu, Xiulan Hao, Yunfa Hu","doi":"10.1109/ICIS.2008.58","DOIUrl":"https://doi.org/10.1109/ICIS.2008.58","url":null,"abstract":"In this paper, SOStream, which is a novel algorithm of clustering over high dimensional online data stream is presented, it is based on subspace.-SOStream partitions the data space into grids, and maintains a superset of all dense units in an online way. A deterministic lower and upper bound of the selectivity of each maintained units are also given. With the maintained potential dense units, SOStream is capable of discovering the clusters in different subspaces over high dimensional data stream with arbitrary shape. The experimental results on real and synthetic datasets demonstrate the effectivity of the approach.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115785496","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}
{"title":"A Document Clustering Method Based on One-Dimensional SOM","authors":"Yan Yu, Pilian He, Yushan Bai, Zhenlei Yang","doi":"10.1109/ICIS.2008.109","DOIUrl":"https://doi.org/10.1109/ICIS.2008.109","url":null,"abstract":"In this paper a new method is presented and used in clustering document collections. This method is based on the one-dimensional arrays of Self-Organizing Map network (1-D SOM array). The main idea of this method is to obtain the clustering results by calculating the distances between every two adjacent MSPs (the most similar prototype to the input vector ) of well trained 1-D SOM. The process is simple, easy to understand and unnecessary to give the number of clusters beforehand. The experimental results show that this method works well in clustering document collection.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375937","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}
{"title":"Reconstructing Control Flow in Modulo Scheduled Loops","authors":"Miao Wang, Rongcai Zhao, J. Pang, Guoming Cai","doi":"10.1109/ICIS.2008.16","DOIUrl":"https://doi.org/10.1109/ICIS.2008.16","url":null,"abstract":"Software pipelining is a loop optimization technique used to exploit instruction level parallelism in the loop. EPIC architectures, such as Intel IA-64 (Itanium) provide extensive hardware support for software pipelining to generate compact and highly parallel code. However it transforms explicit conditional branches into implicit control flow based on the information of the guard registers. It is difficult to reconstruct precise control flow from the optimized code. This paper describes an approach to reconstruct implicit control flow in modulo scheduled loops and thereby improve the quality of reverse engineering optimized executables. We also demonstrate the effectiveness of this approach through experiment results.","PeriodicalId":382781,"journal":{"name":"Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622587","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}