Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

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342 articles
Proceedings Article

A DSAS-Based Minimum Makespan Model for Multi-location Investment Using Fractional Programming

Cheng-Chang Chang, Yan-Kwang Chen, Wen-Chieh Hsu
This study focuses on an enterprise that wants to expand its business to multiple cities in global and to be one of well-known multinational enterprises (MNEs). Suppose the enterprise utilizes the wholly owned market entry strategy, as well as the decentralized synchronized (market) advancement strategy...
Proceedings Article

A Behavioral Fuzzy Model for Analysis of Overreaction and Underreaction in the Brazilian Stock Market

Renato Aguiar, Roberto Moura Sales, Lucy Sousa
In this paper empirical tests for the overreaction and underreaction hypothesis in the Brazilian stock market are presented. For these tests, due to the complexity of these phenomena, a new model based on the fuzzy set theory is proposed. It is shown that such model is strongly connected with two heuristics...
Proceedings Article

A Modification to the Copula Approach for Pricing Correlation-Dependent Credit Derivatives

Chih-Wei Lee, Cheng-Kun Kuo
This paper proposes a modified copula approach to defining correlation dependence used for pricing credit derivatives. For both single-name and multiname products, how default correlations react to common shocks should be appropriately measured. The copula approach is an effective method for this purpose....
Proceedings Article

End-to-End QoS Provisioning by Flow Label in IPv6

Chuan-Neng Lin, Pei-Chen Tseng, Wen-Shyang Hwang
IPv6 as IP next generation is the successor to IPv4. IPv6 not only solves the shortcomings problem of IPv4 address, but also benefits the QoS especially during network congestion. Flow label field in IPv6 packet header provides an efficient way for packet marking, flow identification, and flow state...
Proceedings Article

Annuity Planning and Consumption-Investment Choices in Retirement Planning

Zhisheng Li, Aparna Gupta
Annuities can be effective tools in managing longevity risk in retirement planning. This paper develops a framework that merges annuity purchase decisions with consumption-investment selections in retirement planning. After introducing a pricing model and a benefit payment model for an annuity, we construct...
Proceedings Article

SBT-QL: A Stock Time Series Query Language based on Specialized Binary Tree Representation

Tak-chung Fu, Fu-lai Chung, Robert Luk, Man-yee Au, Chak-man Ng
Stock time series query is one of the fundamental components in technical analysis. Technical analysts would like to query either a whole time series or a segment of a time series in different resolutions for long-term or short-term investigations. Moreover, unnecessary data points should be filtered...
Proceedings Article

A Personal Financial Planning Model Based on Fuzzy Multiple Goal Programming Method

Chieh-Yow ChiangLin
Traditional financial planning procedures began from taking into account the planner’s initial financial situation, his/her financial goals, and expectations for the future, etc. and then calculating the future cash flows for different time periods under variant scenarios. If the planning result cannot...
Proceedings Article

Snapshot Lifecycle Management

Ching-Hung Lin, Wey Shou-Jen, Tsai Tsung-Lin, Wang Jun-Yao, Hwang Wen-Shyang
This paper sets forth “Snapshot Lifecycle Management”, an innovative way to manage snapshot data rather than using Information Lifecycle Management. There are two major problems occurs in snapshot management by ILM: “inappropriate migration” and “redundancy”. SLM manages snapshot data elaborately according...
Proceedings Article

Comparison between Crisp and Fuzzy Stock-Screening Models

Chieh-Yow ChiangLin
Academic researchers and practitioners have proposed various stock-screening models that always contain more than one stock selecting rule and corresponding parameters. However, the criteria in traditional screening models employ crisp norms, which are unreasonable in reality. This paper proposes the...
Proceedings Article

An Ontology-based Methodology for Communicating Negotiation Agents over Internet

Azucena Montes, Maricela Bravo, José Velázquez
In this article we describe a new methodology to facilitate communications between heterogeneous negotiation agents; in particular we present an ontology solution which allows the publication and sharing of communication primitives over Internet. Traditional negotiation systems exchange messages based...
Proceedings Article

An (3, 3)-Visual Secret Sharing Scheme for Hiding Three Secret Data

Pei-Fang Tsai, Ming-Shi Wang
Visual cryptography is one kind of image encrypting. It is different from traditional cryptography, because it does not need complex computation to decrypt. In current technology, most of visual cryptography are embedded a secret using two shares is limited. This paper proposes a new approach of (3,...
Proceedings Article

A Greedy Approach for Multi-Symbol SMS Message Segmentation

Liang-Chyau Sheu, Heng Ma
In this paper, we propose an algorithm to split a lengthy message to several shorter messages to accomodate the specification adopted by most telecommunication companities. We also open an issue that there may exist better algorithms to solve this problem.
Proceedings Article

Using Ant Colony Optimization to Solve Train Timetabling Problem of Mass Rapid Transit

Jen-yu Huang
The purpose of this research is to using ant colony optimization (ACO) to develop a heuristic algorithm to solve the train timetabling problem. This algorithm takes into consideration the trains scheduling in the transit period between peak period and off-peak period, the conflict resolving and the balance...
Proceedings Article

Design of Bulletin Board System for Online Chance Discovery Process

Yasufumi Takama, Yuta Seo, Yoshihiro Iwase
A bulletin board system (BBS) equipped with Key-Graph is proposed for supporting online chance dis-covery process. While conventional meeting for chance discovery with KeyGraph requires participants to meet in a meeting room, the paper aims to expand the discussion space over the Internet. In order to...
Proceedings Article

Blind Wavelet-based Image Watermarking Based on HVS and Neural Networks

Hung-Hsu Tsai, Chi-Chih Liu, Kuo-Chun Wang
This work proposes a Blind Wavelet-based Image Watermarking (BWIW) technique, based on the human visible system (HVS) model and neural networks, for image copyright protection. A characteristic of the HVS, the Just Noticeable Difference (JND) profile, is employed in the watermark embedding so that the...
Proceedings Article

State-Based Synchronization Protocol in Sensor Networks

Shang-Chih Hsu, Wei Yen
Some applications of the sensor network require precise time synchronization among local clocks of the sensors. Due to the limited resource in the sensor network, it is not trivial to maintain the said synchronization. In this paper, we propose a novel method, referred to as the state-based synchronization...
Proceedings Article

A Heterogeneous Dependency Graph as Intermediate Representation for Instruction Set Customization

Kang Zhao, Bian Jinian, Dong Sheqin
A heterogeneous dependency graph (HDG) defined as the intermediate representation for instruction set automated customization is presented in this paper. The main motivation of this model is to constructs a unified internal specification that bridges the gap from the application benchmarks to the instruction...
Proceedings Article

A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

Chien-Chih Yu, Cheng-Su Wang
This paper aims at proposing a hybrid mining approach for e-retailers to analyze returns patterns from both the customer and product perspectives, classify customers and products by returns ratios, and then adopt proper returns policies and marketing strategies to the identified classes for reducing...
Proceedings Article

Orientation filtering : a Novel Matching Method

Lucile Martin, Christophe Leroux, Edwige Pissaloux
This paper presents a statistical method to match feature points from stereo pairs of images. The proposed method is evaluated in terms of effectiveness, robustness and computational speed. The evaluation was performed on several pairs of real stereo images of natural scenes taken onboard an unmanned...
Proceedings Article

Calibration Method Accuracy Evaluation via depth reconstruction

Lucile Martin, Christophe Leroux, Edwige Pissaloux
This paper presents a fast method to evaluate the accuracy of a calibration method of a stereovision rig built with commercially available cameras. The method allows by retro projection to quantify very precisely errors in terms of depth reconstruction. The proposed method has been evaluated on the depth...
Proceedings Article

A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method

Wei-Shen Tai, Chung-Chian Hsu
Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In...
Proceedings Article

PRATYUG-"The total security system"

Sivaraman Sriram, Chandan Nadadur
“The innocent are always the first to suffer”. This is an often used proverb. In our quest to make them strong we have devised a total hack proof system for the communication process. In our mission the hackers are not the hunters but the prey. So we introduce a new security system called the bio scanning...
Proceedings Article

Information Asymmetry at Merge and Acquisition - An Investigation on Firms in the Electric Industry

Chi-Yun Hua, Wen-Chih LEE, Yao Min-Li, Chin Wei-Ming
The prior studies are focus on the association between merge and acquisition (M&A) announcement and stockholders’ wealth. There are few studies examining the change in the level of information asymmetry at M&A announcement. Our study, therefore, goes to fill out the aspect. This paper empirically investigates...
Proceedings Article

Query-Based Learning Decision Tree and its Applications in Data Mining

Rayi Chang, Chia-Yen Lo, Wen-De Su, Jen-Chieh Wang
Decision tree is one of the most significant classification methods applied in data mining. By its graphic output, users could have an easy way to interpret the decision flow and the mining outcome. However, decision tree is known to be time consuming. It will spend a high computation cost when mining...
Proceedings Article

Case Mining from Raw Data for Case Library Construction

Chien-Chang Hsu, Ye-Hong Huang
Case-based reasoning systems usually use prior experiences and examples to solve problems. The successfulness of the systems depends on the completeness of case library. It may generate contradictory solutions or increase adaptation cost if the case library contains irrelevant and disordered cases. This...
Proceedings Article

Consumer Network and Market Dynamics

Satoshi Itoh, Yasuyuki Murakami, Takashi Iba
This paper suggests that the interaction between consumers has an impact on market structure, in addition to each consumer’s own behavior. In this paper, we replicate the artificial market model proposed by Onozaki and Yanagita, and extend it by adding the network of consumers in order to show that the...
Proceedings Article

Development of a Patent Matching System Using a Hybrid Approach

SuHoun Liu, Hsiu-Li Liao, Chou-Chih Hsieh
There were many researches about applying various data mining or text mining tools to patent analysis, and there were many scholars and experts have verified the accuracy and the feasibility of those tools. However, since mining tools always tried to analyze the content using some mathematic methodology,...
Proceedings Article

Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting

Shian-chang Huang
This study combines extended Kalman filters (EKFs) and support vector machines (SVMs) to implement a fast online predictor for option prices. The EKF is used to infer latent variables and makes a prediction based on the Black-Scholes formula, while the SVM is employed to capture the nonlinear residuals...
Proceedings Article

A fuzzy logic method for solving three-tier FMCDM problems

Chien-Chang Chou
The purpose of this paper is to propose a ranking method for solving fuzzy multiple criteria decision making (FMCDM) problems. The representation of multiplication operation on fuzzy numbers is useful for the decision makers to rank all alternatives and choose the best one under the fuzzy multiple criteria...
Proceedings Article

A Personal Ubiquitous Distributed Knowledge Pool System

Chen Tsung Hung, Liu Shyh-Chang, Wang Peng-Shiang, Wan Peng-Shiang
Recently, owing to the fast-developing of the Internet technology, the popularity of the digital devices and the enhancement of the people’s computer ability, therefore the demand of ubiquitous personal knowledge services has gradually been mature. People can use these services to collect information,...
Proceedings Article

Cost Saving Strategies for Bank Operations

Ann Shawing Yang
Recent financial liberalization in Taiwan has caused local banks to face major structural changes. This paper examines the cost structure of 36 local banks in Taiwan using the translog cost function and attempts to identify suitable operating strategies for cost reduction and performance improvements....
Proceedings Article

A knowledge-based decision support system for government vendor selection and bidding

Wei-Kang Wang, Wu Wen, Wen-Bin Chang, Hao-Chen Huang
In this paper, we present a new framework for knowledge-based decision support systems for government vendor selection and bidding. The system integrates a database, rule base and model base as a tool for managers in the decision-making problems via the Internet. The procurement procedures for and architecture...
Proceedings Article

A Financial Decision Supporting System Based on Fuzzy Candlestick Patterns

Chiung-Hon Lee, Alan Liu
A financial decision supporting system based on the fuzzy candlestick pattern is proposed and developed. We model Japanese candlestick patterns by using fuzzy linguistic variables. Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the trend of financial...
Proceedings Article

Multiple Regime Models and Exchange Rate Forecasting

CHUNCHIH CHEN
We extend the basic random walk Markov-Switching model in two ways and evaluate the out-of-sample forecasting performance on the Japanese yen during 1995-2004. First, we estimate both a two- and also a three-regime Markov switching models. Second, we add four exogenous variables as suggested in the monetary...
Proceedings Article

A High-Efficient and Cost-Effective LCD Signal Processor

Tze-Yun Sung
This paper investigates the system of LCD monitor and TV signal processor. It is shown that the processor provides scalar, brightness and contrast adjuster, Gamma correction and dithering. The algorithms are discussed and implemented by Verilog hardware description language. The key hard codes are displayed....
Proceedings Article

MASS DETECTION AND CLASSIFICATION IN BREAST ULTRASOUND IMAGES USING FUZZY SVM

Xiangjun Shi, Heng_Da Cheng, Liming Hu
Breast cancer is the leading cause of death of women in United States. Currently the effective method for early detection and screening of breast cancers is X-ray mammography. But the high rate of false positives in mammography causes a large number of unnecessary biopsies. Sonography is an important...
Proceedings Article

Role of Corner Detection in Capturing Shape Outlines

Asif Masood, Shaiq Haq
In this paper, a role of corner detection in outline capturing system is studied/discussed, which is normally used as phase 1 of capturing. Three outline capturing techniques are studied, one without involving any corner detection and two with most suited corner detectors. One common curve approximation...
Proceedings Article

A New Method for the Registration of Mammograms

Yih-Chih Chiou, Cheng-Yu Lin, Yu-Teng Liang
Mammogram registration is a critical step in automatic detection of breast cancer. Much research has been devoted to registering mammograms using either feature-matching or similarity measure. However, few studies have been done on combining these two methods. In this research, a hybrid mammogram registration...
Proceedings Article

An Object-Relational Data Warehouse Modelig for Complex Data

Wen-Yang Lin, Chin-Ang Wu, Chuan-Chun Wu
This paper proposed an object relational data warehouse modeling for complex data. This model can be viewed as an extension of relational star schema that incorporates the features of object-oriented data model. In this model, non-additive complex data such as video, audio, graphics and text can be shown...
Proceedings Article

How To Find The Useful Information For The Referential Integrity Problem

Chia-Chih Hsu, Nigel Shadbolt
The solution for the referential integrity problem is mainly addressed into what the useful information is. Thus, in contrast with the usual heuristics extracted from the problem domain, the novel approach of our research is to formally model the way to explain what the useful information is. We find...
Proceedings Article

Constructing Hierarchical Topic Knowledge Window for Chinese News Browsing and Retrieval

Sheng-Fu Chang
This paper proposes an event-based hierarchical knowledge structure for Chinese news display. We apply Hierarchical Topic Detection and Tracking technique to group news reports into clusters. Considering the extensibility of events, the knowledge structure is designed with robustness to merge similar...
Proceedings Article

Protein-Protein Interaction Document Mining

Shing Doong, Shu-Fen Hong
Protein-protein interactions (PPI) are very important to the understanding of metabolic pathway. Many digital publications are available today; some of them discuss PPI and some of them do not. If machine learning techniques can be used to detect those PPI documents automatically, it would save researchers...
Proceedings Article

A comparative study of matrix inversion by recursive algorithms through single and double bordering

Bhavanam Rami Reddy, Ramabhadra Prof. I. Ramabhadra Sarma
In this paper we have derived single and double bordering methods for computation of the inverse of a matrix. The performance of these methods is compared with some existing methods . We conclude the following: For a general nonsingular matrix, both single and double bordering methods are superior to...
Proceedings Article

Service Oriented Federated Identity System Framework

Min Wu, Xiaoqiang Liu, Yongsheng Ding, Jiaxun Chen
The rapid evolution of network and distributed computing, such as Service Oriented Architecture (SOA), is increasing the challenge of securely controlling access to enterprise IT resources. As gaining access to distributed resources becomes increasingly vital, the ability to make sure that the right...
Proceedings Article

USIS: A Unified Framework for Secured Information System Lifecycle

Bei-Tseng Chu, Huiming Yu, Audrey Dance
Information security ≠ information system + security features such as access control and intrusion detection. Security considerations must be an integral part of the entire lifecycle of the information system. This paper presents a framework to systematically classify all security considerations throughout...
Proceedings Article

How to design optimistic operations for peer-to-peer replication

Hyun-Gul Roh, Jin-Soo Kim, Joon-Won Lee
As collaboration over the Internet becomes an everyday affair, it is increasingly important to provide high quality of interactivity. Distributed applications can replicate collaborative objects at every site for the purpose of achieving high interactivity. Replication, however, has a fatal weakness...
Proceedings Article

Probabilistic Financial Decision Support Framework

Chiu-Che Tseng
The challenge of the business decision support domain is that a large amount of diverse information can be potentially relevant to a decision, and that, frequently, the decisions have to be made in a timely manner. This presents the potential for better decision support, but poses the challenge of building...
Proceedings Article

Computational Experiments on Algorithms for Haplotype Inference Problems by Pure Parsimony

I-Lin Wang, Hui-E Yang
To analyze the function of DNA, researchers have to obtain each haplotype, the genetic constitution of an individual chromosome, of an individual for analysis. Due to the significant efforts required in collecting haplotypes, genotypes, which are the descriptions of one conflated pair of haplotypes,...