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

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342 articles
Proceedings Article

An Effective Drilling Wear Measurement based on Visual Inspection Technique

Yu-Teng Liang, Yih-Chih Chiou
The purpose of this research is to use the visual inspection technique for the automatic tool wear measurement of different coated drills. The tool wear images with the different coated drilling are captured using a machine vision system incorporating with an effective vertex detection algorithm based...
Proceedings Article

A Pornographic Web Patrol System Based-on Hierarchical Image Filtering Techniques

Chumsak Sibunruang, Jantima Polpinij, Rapeeporn Chamchong, Anirut Chotthanom, Somnuk Puangpronpitag
Due to the flood of pornographic web sites on the internet, content-based web filtering has become an important technique to detect and filter inappropriate information on the web. This is because pornographic web sites contain many sexually oriented texts, images, and other information that can be helpful...
Proceedings Article

Efficient Surface Interpolation with Occlusion Detection

Boubakeur Boufama, Houman Rastgar, Saida Bouakaz
In this paper we present a novel dense matching algorithm that relies on sparse stereo data in order to build a dense disparity map. The algorithm uses a recursive updating scheme to estimate the dense stereo data using various interpolation techniques. The major problem of classical template matching...
Proceedings Article

Scene Classification for Baseball Videos Using Spatial and Temporal Features

Mao-hsiung Hung, Chaur-Heh Hsieh, Ying-Chung Zhu
Correct classification of various kinds of scenes in sport videos is essential for higher-level content analysis such as event detection. The paper presents a novel technique for the classification of the typical scenes of baseball videos. The spatial color features are employed to detect pitch scene...
Proceedings Article

Signature recognition using conjugate gradient neural networks

Jamal Abu Hasna
SIGNATURE RECOGNITION USING CONJUGATE GRADIENT NEURAL NETWORKS Transforming the input before training yields much lower error, but is more sensitive. Most importantly, we have presented system can vary in security depending on the situation. Uses for such a system range from securing a credit card transaction...
Proceedings Article

Analysis and Assessment of Knowledge Sharing Risk in the Virtual Enterprise

Tian-hui You, Zhu Zhu, Zhu-chao Yu
A method to analyze and assess knowledge sharing risks in the virtual enterprise is proposed. Firstly, based on risks analysis, an index system is set up to assess such risks as the core competence losing risk, the enterprise culture risk, the knowledge spillover effect risk and the moral risk, etc.....
Proceedings Article

Applications of Genetic Algorithm to Portfolio Optimization with Practical Transaction Constraints

Chieh-Yow ChiangLin
The portfolio optimization model, initially proposed by Markowitz in 1952 and known as mean-variance model (MV model), is applied to find the optimized allocation among assets to get higher investment return and lower investment risk. However, the MV model did not consider some practical limitations...
Proceedings Article

Least Alsolute Deviation Estimators for Interval Regression

Seunghoe Choi, James. J. Buckley
This paper introduces the least absolute deviation estimators to construct an interval regression model, having interval output and crisp input data when the data contains interval outliers.
Proceedings Article

Active Tracking Using Kernel-Based Vision Processor and Robust Fuzzy Control

Alireza Mustafa, Moteaal Asadi Shirzi, Muhammad Reza Hairi Yazdi
In this paper we introduce a practicable system by combining a vision processing algorithm and a fuzzy controller to obtain an efficient active tracker. Target tracking performance is heavily dependent on a good blend of vision algorithm and control. Because of performance and computational complexity,...
Proceedings Article

Consistent Fuzzy Linguistic Preference Relations for Computer Integrated Manufactory Systems Selection

Tien-Chin Wang, Yueh-Hsiang Chen
Most decision-making and problem-solving tasks are too complex to be understood quantitatively. People perform such tasks using knowledge that is imprecise rather than precise. This study presents consistent fuzzy linguistic preference relations rather than fuzzy analytic hierarchy process (FAHP) to...
Proceedings Article

Fuzzy Logic for Developments and Applications of Unbalance Three-Phase Fuzzy Feeder Models

Shyi-Wen Wang
Based on the fuzzy set theory, this study introduces three novel three-phase fuzzy feeder models for fast distribution system calculations. These fuzzy models are formulated using three lumped individual phase loads to represent single-phase, three-phase unbalanced, and nonuniformly distributed loads...
Proceedings Article

High-Speed Fuzzy Inference Processor Using Active Rules Identification

Shih-Hsu Huang, Shi-Zhi Liu, Yi-Rung Chen, Jian-Yuan Lai
Once the input values are given, the active rules in a fuzzy inference execution have been determined. Based on the observation, our approach is to identify the active rules before fuzzy inference execution. To achieve this goal, our architecture provides the following two mechanisms: (1) a mechanism...
Proceedings Article

Application of Inverse Fuzzy Logical Inference to Breakdown Diagnosis

Jeng-Jong Lin
In this paper, we present a search model, which divide symptoms into two sets, i.e., the positive symptom set (J1) and the negative symptom set (J2), to eliminate the causes of low possibility in the cause set to more effectively find various possible breakdown causes occurred during spinning process....
Proceedings Article

Axiomatization of fuzzy attribute logic over complete residuated lattices

Radim Belohlavek, Vilem Vychodil
The paper deals with fuzzy attribute logic (FAL) and shows its completeness over all complete residuated lattices. FAL is a calculus for reasoning with if-then rules describing particular attribute dependencies in object-attribute data. Completeness is proved in two versions: classical-style completeness...
Proceedings Article

Pavelka-style fuzzy logic for attribute implications

Radim Belohlavek, Vilem Vychodil
We present Pavelka-style fuzzy logic for reasoning about attribute implications, i.e. formulas $A\Rightarrow B$. Fuzzy attribute implications allow for two different interpretations, namely, in data tables with graded (fuzzy) attributes and in data tables over domains with similarity relations. The axioms...
Proceedings Article

On Tensions and Causes for School Dropouts åÁV An Induced Linked Fuzzy Relational Mapping (ILFRM) Analysis

Joseph Arul, Nathan Pathi, Thirusangu K, Mary John
The teachers and the school authorities often call the parents in connection with a child’s ‘performance’ in school. The children have to face the wrath of both the parents and the teachers. This tension slowly builds up and the child decides to quit the school forever. This paper analyzes the causes...
Proceedings Article

Power Signal Predictions by Several Neural Models

Rey-Chue Hwang, Yu-Ju Chen, Shang-Jen Chuang, Hunag-Chu Huang, Chuo-Yean Chang
In this paper, a comparison study for the non-stationary power signal prediction by using several neural models is presented. A reliable and accurate neural forecasting model is trying to be found and concluded. This study is expected to provide some suggestions and could be treated as a reference for...
Proceedings Article

Supply chain inventory strategies using fuzzy neural networks

Hui Wee, C. Edward Wang, J. C. Chen, K.-J. Wang, Y.-S. Lin
In the fast-changing business environment, supply chains are affected by the production and inventory strategies, which influence the amount of information needed by the chains. The firms must therefore determine the best supply chain inventory strategies for their products. The lack of precise market...
Proceedings Article

Optimization of a Fuzzy Controller Using Taguchi Methods With Multiple Performance Characteristics

Cheng-Hsiung Chiang, Liang-Hsuan Chen
Fuzzy controllers in general are designed using the experts’ knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic...
Proceedings Article

Bargaining Strategies for Construction Joint Ventures by Fuzzy Logic

Min-Ren Yan, Chien-Liang Lin, Wei Lo
As the modern construction market and environment encounter drastic changes, a single company alone can no longer manage a complex project and satisfy project owner’s needs. Joint venture (JV) of companies, formed to integrate various expertises, becomes a necessity to obtain competitive advantages to...
Proceedings Article

Fuzzy Logic Controlled Protocol for WLANs

Chien-Tung Lu, Yu-Sun Liu
A fuzzy logic controlled protocol that enables each station to tune its contention window based on the on-line channel sensing results is proposed for the wireless local area networks. Extensive simulations are provided to compare the performance of the proposed protocol with that of the distributed...
Proceedings Article

Fuzzy Modeling with Immune Multi-Objective Algorithm to Optimal Allocate of Capacitors in Distribution Systems

Hsiao Ying-Tung, Tsong-Yau Huang, Chia-Pang Chen, Chih-Han Chang
This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal capacitor placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented....
Proceedings Article

Establishing a multiple structures AHP evaluation by extending Hierarchies Consistency Analysis

Yuh yuan Guh, Hui ming Wee, Rong wei Po
The purpose of this paper is to extend the theory of Hierarchies Consistency Analysis (HCA) to establish a multiple structures evaluation model for the AHP. Traditionally, the AHP process is based on a single evaluation hierarchy, according to statistics and group decision theories, a more objective...
Proceedings Article

An SOM-Based Search Algorithm for Dynamic Systems

Yi-Yuan Chen, Kuu-Young Young
The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit its ability in search, in this paper, we propose an SOM-based search algorithm (SOMS) for dynamic systems, in which the SOM is employed...
Proceedings Article

Fuzzy Information Retrieval Techniques for Help-Seeking System

Yueh-Min Huang, Yen-Hung Kuo, Jim-Min Lin, Yu-Lin Jeng, Juei-Nan Chen
The forum system is useful for knowledge sharing and help-seeking. However, the existed forums are having the same problem such like nobody to answer the given questions. In order to attack the problem, this study proposes a human-expert oriented forum architecture to perform efficient knowledge sharing....
Proceedings Article

Progressive Lane Analysis in the Digital Map using Fuzzy Method

Chia-Ming Chang, Tai-Yu Lin
In this paper, a progressive road analyzes using fuzzy technique is proposed. In this system, only the low cost GPS receivers are used. The road attribute and map are constructed only using the received data.
Proceedings Article

Increasing and Decreasing with Fuzzy Time Series

Ming-Tao Chou, Hsuan-Shih Lee
There is a significant problem associated with the fuzzy time series. That is a strict increasing and decreasing case. Under the discussion case, fuzzy time series model arise a continuous increasing/decreasing forecasting value. From the illustrative example, we can see that our definition not only...
Proceedings Article

The Logic of Uncertainty with Irrational Agents

Boris Kovalerchuk, Germano Resconi
Modern axiomatic uncertainty theories (fuzzy logic, probability theory and others) provide a calculus for manipulating with probabilities, membership functions, and degrees of belief when the initial values such as probabilities of elementary events are already given. These theories do not include a...
Proceedings Article

The use of grey-based Taguchi methods to determine Process Parameter of linear motion guide with Multiple Performance Characteristics

Yung Fa Hsiao, Kuang Yuan Kung, Y.S. Tarng
By the grey-based Taguchi methods, this study attempts to analyze the process parameters pertinent to the multiple performance characteristics of linear motion guides and obtain the multiple performance characteristics of the noise level, push force value and horizontal combination precision of the linear...
Proceedings Article

Speech Classification Based on Fuzzy Adaptive Resonance Theory

Chih-Hsu Hsu, Ching-Tang Hsieh
This paper presents a neuro-fuzzy system to speech classification. We propose a multi-resolution feature extraction technique to deal with adaptive frame size. We utilize fuzzy adaptive resonance theory (FART) to cluster each frame. FART was an extension to ART, performs clustering of its inputs via...
Proceedings Article

Mean Values of Fuzzy Numbers with Evaluation Measures and the Measurement of Fuzziness

Yuji Yoshida
This paper discusses an evaluation method of fuzzy numbers as mean values and measurement of fuzziness defined by fuzzy measures, and the presented method is also applicable to fuzzy random variables and fuzzy stochastic processes in decision making modeling.We compare the measurement of fuzziness and...
Proceedings Article

Application of Hardware Architecture of Genetic Algorithm for Optimal Packet Scheduling

Rong-Hou Wu, Yang-Han Lee, Shiann-Tsong Sheu, Hsien-Wei Tseng, Ming-Hsueh Chuang, Yung-Kuang Wang
In Dense Wavelength Division Multiplexing (DWDM) technologies, the optimal packet scheduling is a common encounter issue in multiple channels network. NP-hard problem deals with finding a way to rearrange packets in multiple channels into a finite and rare channel. Genetic algorithm (GA) is one of the...
Proceedings Article

A Hybrid System with Petri Net and Fuzzy Theory

Rong-Hou Wu, Yang-Han Lee, Yih-Guang Jan, Hsien-Wei Tseng, Ming-Hsueh Chuang, Jheng-Yao Lin
In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models. We exploit the characteristics, imprecise or ambiguous information, of fuzzy theory to map the algorithm of crisp inputs and outputs, furthermore, model problems, product a nonlinear function, and...
Proceedings Article

Image-Based Fire Detection Using Neural Networks

Wen-Bing Horng, Jian-Wen Peng
An image-based fire detection method using neural networks is proposed in this paper. First, flame color features, based on the HSI color model, are trained by a backpropagation neural network for flame recognition. Then, based on the learned flame color features, regions with fire-like colors are roughly...
Proceedings Article

Urban Traffic Intersection Incident Prediction Using AI Algorithm

Yaguang Kong, Huakui Chen
Automatic incident detection and characterization is urgently require in the development of advanced technologies used for reducing non-recurrent traffic congestion on urban traffic. This paper presents a new method using data mining to identify automatically freeway incidents. As a component of a real-time...
Proceedings Article

Locating Matching Rules by Mining Software Change Log

Ming-Shi Wang, Jung-te Weng
A software system maintenance activity is typically performed under an environment of lacking knowledge about how to process it. This scarcity of knowledge may be caused by various factors, such as the large size and complexity of the systems, high staff turnover, poor documentation and long-term system...
Proceedings Article

Fuzzy LP with a Non-Linear MF for Product-Mix solution: A Case-Based Re-modelling and Solution

Sani Susanto, Pandian Vasant, Arijit Bhattacharya, Fransiscus Rian Pratikto
This paper deals with re-modelling of a fuzzy linear programming (FLP) for an optimal product-mix decision problem and its solution. Database of a chocolate exporting company has been used here to show the practicability of using the proposed model. The proposed model includes a non-linear membership...
Proceedings Article

Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets

Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang
This paper proposes an approach to deal with the problem of producing a set of cross-level fuzzy certain and possible rules from examples with hierarchical and quantitative attributes. The proposed approach combines the rough-set theory and the fuzzy-set theory to learn. Some pruning heuristics are adopted...
Proceedings Article

A High-Efficient Image Scalar Algorithm for LCD Signal Processor

Tze-Yun Sung
In this paper, the image scalar algorithm and architecture for LCD monitor and television controller is presented. The program of hardware code is described to explain the proposed algorithm and architecture. The proposed image scalar has been applied on LCD monitor and TV controller or signal processor....
Proceedings Article

Excess Noise Factor of a-Si:H/a-SiC:H Separated Absorption and Multiplication Region Superlattice-like Avalanche Photodiodes (SAM-SAPDs)

Neng-Fu Shih, Huei -Ching Huang, Chung-Yuan Kung, Chun-Chih Chiu, Hong Jyh-Wong
In this paper, an a-Si:H/a-SiC:H separated absorption and multiplication region superlattice avalanche photodiode (SAM-SAPD) is fabricated successfully by using combined effect of band edge discontinuity and build-in potential in p-n junction. We discuss the relationships among excess noise factor (Fe),...
Proceedings Article

Fabrication and characterization of two-dimensional photonic crystal using holographic lithography technology

Kuo-Chang Lo, Mei-Li Hsieh, Yi-Sheng Lan
We propose and demonstrate a holographic system using three beams to generate periodic patterns for fabricating photonic crystals. By properly adjusting the incident angle and intensity of three laser beams, the period and structure of interference pattern can be modified. Computer simulation results...
Proceedings Article

Multicast Wavelength Assignment with Sparse Wavelength Converters to Maximize the Network Capacity using ILP formulation in WDM Mesh Networks

San-Nan Lee
We have studied the multicast routing and wavelength assignment (MC-RWA) problem in this paper, and focused on maximizing the network capacity and minimizing the resources used by a multicast session. We show that a multicast wavelength assignment problem is quite different from a unicast wavelength...
Proceedings Article

90-nm Wideband Optical Amplifier Including an Semiconductor Optical Amplifier and a DCF-based Raman Fiber Amplifier with Gain Clamping and Dispersion Compensation

Chia-Hsiung Chang, Hermann Lin
We have experimentally demonstrated the gain-clamped wideband optical amplifier using a DCF-based Raman amplifier and an semiconductor optical amplifier for 90-nm wide bandwidth amplification with good gain flatness (of 3 dB) as well as dispersion compensation of 10Gb/s DWDM signals over 100-km SMF link....
Proceedings Article

A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks

Chien Lung Wang, Tzung-Pei Hong, Gwoboa Horng, Wen-Hung Wang
In this paper, we propose a distributed, reliable and low-power-consumed key-renewal scheme for wireless sensor networks. The proposed scheme is divided into parts: the server part and the sensor-node part. The server will produce an appropriate key-generation function (KGF) for key renewal on sensor...
Proceedings Article

Optical reconstruction of digital hologram using cascaded liquid crystal spatial light modulators

Mao-Ling Chen, Chau-Jern Cheng, Mei-Li Hsieh
A dynamic optical reconstructed system for digital hologram is developed using two commercially available twisted-nematic-liquid- crystal spatial light modulators (TNLC-SLMs), which are operating in the amplitude- and phase-mostly modulation modes, respectively. The complex modulated properties of this...
Proceedings Article

Grid Reconfigurable Optical Wireless Network (GROW-Net) åÁV A New Hybrid Optical Wireless Access Network Architecture

Wei-tao Shaw, David Gutierrez, Kyeongsoo. Kim, Ning Cheng, Shing-Hwa Wong, Shing-Hwa Yen
In this paper we have proposed the GROW-Net, a novel hybrid optical wireless access network architecture. GROW-Net is designed to provide cost-effective broadband access connections in a highly populated and dense metropolitan area and consists of an optical grid network that provides a broadband backhauling,...
Proceedings Article

Analysis of dispersion properties of elliptic air hole photonic crystal fiber

Yuh-Sien Sun, Chau Yuan-Fong, Tsai Din-Ping
The two dimensional with a triangular-lattice cross sectional pattern of elliptic air holes photonic crystal fiber (PCF) is investigated in detail by use of plan wave expansion (PWE) method. Using PWE method, the dependence of dispersion on structure parameters is calculated. We compared the dispersion...
Proceedings Article

Building a Simulation Model of the Currency Basket Peg System

Michiru Kunitomo, Takashi Iba, Hideki Takayasu
This paper presents a institutional framework for the currency basket peg system. After the Asian currency crisis, the needs of seeking adaptive currency system has risen up but the best currency system has not still appeared. In this paper, we propose the model of “the currency basket peg system”. This...
Proceedings Article

Building a Simulation Model of Foreign Exchange Market: Reproduction of Yen Dollar Market

Ayako Usami, Ryunosuke Tsuya, Takashi Iba, Hideki Takayasu
The purpose of this study is to make a basic Foreign Exchange Market Model. It is important to make a simple basic model at first to understand the complex emergence of exchange rate which is caused by various factors. The model is a multiagent-based model, consisting of dealer and speculator. Both agents’...
Proceedings Article

A Final Price Prediction Model for online English Auctions ─ A Neuro Fuzzy Approach

Chin-Shien Lin, Shihyu Chou, Chi-Hong Chen, Tai-Ru Ho, Yu-Chen Hsieh
Markov Chain Model provides a concise mathematical model to describe the online English auction process, converting the complicated interaction between the bidders and auctioneer into a tractable mathematical problem, which is a milestone for researches involved in this area. However, the assumptions...
Proceedings Article

Incorporating Value-at-Risk in Portfolio Selection: An Evolutionary Approach

Chueh-Yung Tsao, Chao-Kung Liu
The mean-variance framework for portfolio selection should be revised when investor’s concern is the downside risk. This is especially true when the asset returns are not normal. In this paper, we incorporate value-at-risk (VaR) in portfolio selection and the mean-VaR framework is proposed. Due to the...
Proceedings Article

Difficulty of cooperation in iterated multi-Prisoner's Dilemma situation-Experimental evidence-

Kazuhito Ogawa, Tetsuya Kawamura, Tatsuya Kikutani, Sobei H. Oda
Using the laboratory experiment and simple multi–Prisoner’s dilemma model, this paper explores the effect of the change in the number of contacts and in the contact (payoff) structure, and then the characteristics of the strategy that leads players to reach mutual cooperation. When the number of contacts...
Proceedings Article

Hybrid Neural Network Bankruptcy Prediction: An Integration of Financial Ratios, Intellectual Capital Ratios, MDA, and Neural Network Learning

Wen-Kuei Hsieh, Shang-Ming Liu, Sung-Yi Hsieh
One purpose of this paper is to propose hybrid neural network models for bankruptcy prediction. The proposed hybrid neural network models are, respecitvely, a MDA model integrated with financial ratios, a MDA model integrated with financial ratios and intellectual capital ratios, a MDA-assisted neural...
Proceedings Article

Detecting and Classifying Emotion in Popular Music

Chia Chu Liu, Yi Hsuan Yang, Ping Hao Wu, Homer Chen
Music expresses emotion. However, analyzing the emotion in music by computer is a difficult task. Some work can be found in the literature, but the results are not satisfactory. In this paper, an emotion detection and classification system for pop music is presented. The system extracts feature values...
Proceedings Article

Fast Occluded Object Tracking Technique with Distance Evaluation

Tsung-Han Tsai, Yuan-Chen Liu, Dung-Mau Chen, Chung-Yuan Lin
Objects in the world exhibit complex interactions.When captured in a video sequence, some interactions manifest themselves as occlusions. A visual tracking system must be able to track objects which are partially or even fully occluded. Occlusion is a difficult problem in target tracking, especially...
Proceedings Article

Novel Silicon-Based Microwave Bandstop Filters for Communication Systems

Yeong-Lin Lai, Pei-Yen Cheng
This paper presents state-of-the-art silicon-based bandstop filters for the realization of microwave system-on-a-chip (SOC) communication systems. The characteristics of the bandstop filters are designed by the adjustment of the geometric dimensions of the filters in order to meet different system requirements....
Proceedings Article

Predicting Technical Investors' Decisions in a Financial Market through Agent-Based Simulation

Yoshiki Kano, Takao Terano
We are developing an artificial stock market model with investor agents in order to analyze characteristics of a market price. In this paper, we analyze the effects of agent’s reaction rate to technical indicators in a financial market. Intensive experiments have suggested that trend follow investor...
Proceedings Article

Enhanced Competitiveness of Multi-Agent System by Special Algorithm

Tin Yau Pang, Kwok Yip Szeto
Resource allocation in the econophysics of competing supermarket chains, modelled as a Multi-Agent System is addressed in the context of finding good method to increase the competitiveness of the company in networked economy. A special swapping algorithm which increased the local clustering effects of...
Proceedings Article

Chain of Firms Bankruptcy

Yoshi Fujiwara
A link in production network is usually a creditor-debtor relationship. If a firm goes into financial insolvency state or bankruptcy, then firms on its upstream can have secondary effect from the bankruptcy. By using the recent 10 years data of bankruptcy in japan, we show that these causes of ``link...
Proceedings Article

A Fuzzy Multiobjective Programming Approach for Vendor Selection in Iron & Steel Enterprise

Yuan Chen, Zhi-Ping Fan, Jun Lv, Jian-Yu Wang
The purpose of this paper is to study vendor selection problem with multi-vendor and multi-item in iron & steel industry. Firstly, the native fuzziness, derived from some uncertainty information, of some parameters in decision-making objectives is analyzed. After that, a fuzzy multiobjective programming...
Proceedings Article

The Prediction for Index Futures Returns and the Relational Analysis of Spillover Effect

Ling-ming Kung, Shang-Wu Yu
This paper adopts the grey prediction methods, to investigate the return and volatility of major index futures among American and Eurasian markets. The grey relational theory and GM(1,N) model are further used to observe the volatility spillover effect and find the main influence factor in the volatility...
Proceedings Article

Algorithms for Indexing Dynamic XML Data

Jeang-Kuo Chen, Jen-Peng Hsu
Some approaches such as path indexing, labeling, and numbering scheme have been proposed in order to facilitate query of XML data. The indexes derived by these approaches must be rebuilt if XML data is updated. The method LSDX (Labeling Scheme for Dynamic XML data) can dynamically add new labels without...
Proceedings Article

A Study of the Performance Evaluation for Airline Operation

Gin-Shuh Liang, Tsung-Yu Chou, Shan-Shan Chuang
Combining the concepts of balanced scorecard, fuzzy set theory and entropy, a systematic fuzzy multiple criteria decision making (MCDM) for airlines operating performance evaluation is proposed. A hierarchical structure is constructed through the concept of balance scorecard includes four perspectives:...
Proceedings Article

The Distinctiveness of Individuals: Using Knowledge Structures To Represent Research Focuses; The Field of Stem Cell Research

Jonathan Feinstein
Building on the framework presented in The Nature of Creative Development (Stanford U. Press, 2006), I describe an approach for representing researchers' focuses of research activity in a field; the approach is based on use of a knowledge representation framework. Application is made to the field of...
Proceedings Article

A Fuzzy Preference Relations to Service Innovation Project Selection

Tsuen-Ho Hsu, Ling-Zhong Lin
In order to reduce the bias of linguistic recognitions among the group decision makings, this study develops “fuzzy multiple preference model” with two stages to better determining the suitable service innovation. A real numerical application in the chain wholesale has also been demonstrated.
Proceedings Article

Emergence of Overconfidence Investors in Financial Markets

Hiroshi Takahashi, Takao Terano
This research utilizes the Agent-Based Model to clarify microscopic and macroscopic links between investor behavior and price fluctuations in the financial market. This analysis places focus on the role that investors’ overconfidence plays in the financial market. As a result of this analysis, it has...
Proceedings Article

Hidden structure visualization adaptive to human's prior understanding

Yoshiharu Maeno, Ohsawa Yukio
This paper addresses hidden structure visualization adaptive to human’s prior understanding. The degree of understanding is parameterized by temperature used in the human-interactive annealing process along with stable deterministic crystallization algorithm. This adaptive nature is demonstrated with...
Proceedings Article

Image Up-Sampling Using Discrete Wavelet Transform

Ping-Sing Tsai, Tinku Acharya
Image up-sampling is found to be a very effective technique useful in today’s digital image processing applications or rendering devices. In image up-sampling, an image is enhanced from a lower resolution to a higher resolution with the degree of enhancement depending upon application requirements. It...
Proceedings Article

A Maximum Achievement Model for a Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise - Linear Approximation

Cheng-Chang Chang, Chung Yung, Wang
Consider 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 MNE hopes each planning investment subsidiary gleans a specific target return within a constant time horizon. Under this premise, this paper...
Proceedings Article

Applying Technical Analysis of Stock Trends to Trading Strategy of Dynamic Portfolio Insurance

Jung-Bin Li, Sheng-Hsiu Wu, Mu-Yen Chen, An-Pin Chen
In the trading operation of dynamic portfolio insurance, TIPP (Time Invariant Portfolio Protection), when adjusting active assets, only considers the scale of asset of that time regardless of how market trend proceeds. In other words, TIPP is clumsy in evading loss and pursuing profits. This study makes...
Proceedings Article

Pricing-Enabled QoS for UMTS/WLAN Network

Hung-Chin Jang, Bohan Lu
In this paper we propose a pricing-enabled QoS for the hybrid UMTS/WLAN network. The proposed methodology is an integration of usage-based, non usage-based, static, and dynamic pricing schemes and DiffServ (Differentiated Services). We propose the utility function and cost function for our needs, and...
Proceedings Article

A Bandwidth Efficiency of the Locally Adaptive Compression Method for Hiding Secret Messages

Tzu-Chuen Lu, Chin-Chen Chang
This paper proposes a novel lossless information-hiding scheme that hides information in locally adaptive compressed codes. The scheme is abbreviated as IHLAC for wider the efficiency of the compressed codes. IHLAC is designed for two objectives; one is to compress a text file; the other is to hide secret...
Proceedings Article

A Measure Method for Indiscernibility in Imperfect Information System

Jiye Liang, Jifang Pang
Traditionally, the information system is assumed to be perfect, i.e. attribute values are not missing and supposed to be precise. In fact, imperfect information system is always existent. In this paper, based on imperfect information system (include missing data and imprecise data), the concepts of indiscernibility...
Proceedings Article

feature-preserving interpolative vector quantization

Wu-Ja Lin, Wei-Yu Han, Lee Yen-Po, Wu Kuang-Shyr
In this paper, a feature-preserving interpolative vector quantization method is proposed to compress images. The proposed method preserves the average color and color contrast on generating the approximation image and preserves mean, variance, and average radius on quantizing the residual image which...
Proceedings Article

image approximation by preserving color features

Wu-Ja Lin, Wei-Yu Han, Kuang-Shyr Wu, Yen-Po Lee
In this paper, an image approximation method is proposed. The method approximates the given image by preserving image's average color and color contrast. The experimental results show that the proposed method usually yields satisfactory results.
Proceedings Article

A Website Model-Supported Focused Crawler for Search Agents

Sheng-Yuan Yang
This paper advocates the use of ontology-supported website models to provide a semantic level solution for a search agent so that it can provide fast, precise, and stable search results. We have based on the technique to develop a focused crawler, which can benefit both user requests and domain semantics....
Proceedings Article

Comparing Gaussian Processes and Artificial Neural Networks for Forecasting

Colin Fyfe, Tzai Der Wang, Shang Jen Chuang
We compare the use of artificial neural networks and Gaussian processes for forecasting. We show that Artificial Neural Networks have the advantage of being utilisable with greater volumes of data but Gaussian processes can more easily be utilised to deal with non-stationarity.
Proceedings Article

Genetic Programming Decision Tree for Bankruptcy Prediction

Wo-Chiang Lee
In this paper, we apply the CART ,C5.0 , GP decision tree classifiers and compares with logic model and ANN model for Taiwan listed electronic companies bankruptcy prediction. Results reveal that the GP decision tree can outperform all the classifiers either in overall percentage of correct or k-fold...
Proceedings Article

Achieving Efficient Pathname LOOKUP in File Server Group

Feng-jung Liu, Chu-sing Yang, Yao-kuei Lee
With the increasing growth of Internet users and the Web contents, it has led to much attention on scalability and availability of file system. Hence the ways to improve the reliability and availability of system, to achieve the expected reduction in operational expenses and to reduce the operations...
Proceedings Article

Pruning Support Vectors in the SVM Framework and Its Application to Face Detection

Pei-Yi Hao
This paper presents the pruning algorithms to the support vector machine for sample classification and function regression. When constructing support vector machine network we occasionally obtain redundant support vectors which do not significantly affect the final classification and function approximation...
Proceedings Article

Adaptive snake model with automatic force rectification

Din-Yuen Chan, Cheng-Li Chiu, Wei-Ta Chien
Most applications of snake model are domain-specific, while specifying fixed snake coefficients to an image in problem. In this paper, we propose content-triggered adaptive snake model (CASM) to lead all the parameters of snake model to be automatically adapted for various images in the noisy environment....
Proceedings Article

Motion-based Adaptive GOP Algorithms for Efficient H.264/AVC Compression

Jun-Ren Ding, Jar-Ferr Yang, Ji-Kun Lin
H.264/AVC provides several advanced features such as improved coding efficiency and error robustness for video storage and transmission. In this paper, to further improve the coding quality for encoding possible scene changes and fast variation sequences, we propose a new adaptive GOP scheme that uses...
Proceedings Article

Scaffolding Supervision and Behavior Understanding

Yung-Hui Chen, Lawrence Deng
This paper contributes a meaningful framework and approach to the understanding of the fundamental of e-learning and explains why it is proliferating throughout a rapidly evolving learning society. This is the important comprehensive and coherent framework to guide our understanding of e-learning in...
Proceedings Article

Low-Cost RFID Identification Variation

Yao-Yuan Liu, Koong Lin, Tzu-Chang Yeh, Chad Lin
Interests continue to grow in recent years for the adoption of Radio Frequency Identification (RFID) in many different areas including transportation and supply chain management. Those RFID-included objects can be targeted more efficiently by real-time tracking and instant management. However, because...
Proceedings Article

A Simplified LED Converter Design and Implement

Yi-Hua Fan, Cheng-Ju Wu, Cheng-Chao Fan, Kou-Wei Chih, Lun-De Liao
High power LED converter combined with switching power supply and current adjustment device for is presented. The switching power supply provides one stabilized voltage source, and the current adjustment device controls the output currents with a desired constant current and the over-load protection....
Proceedings Article

The High Benefits Internet Marketing Framework through Customer Experience

Kuo Nai-Wen, Liu An-Yi
This paper is intended to integrate Internet Marketing, Customer Experience, E-brand and Integrated Marketing Communications to develop a high benefits Internet Marketing Framework. This framework not only can combine marketing resources effectively, let enterprises obtain the greatest benefits; it also...
Proceedings Article

Bisection Algorithms for Solving lambda-Fuzzy Measures

Ting-Yu Chen, Jih-Chang Wang
The theory of fuzzy measures has a great potential for real world applications, but limited by the lack of suitable identifying methods. This research proposes a bisection algorithm based on Sugeno measures. The proposed method is simple enough to suit the practical applications for the required data...
Proceedings Article

Reducing Positive Leniency in Fuzzy Measure Ratings

Ting-Yu Chen, Jih-Chang Wang
Fuzzy measures have been widely used to determine the degrees of subjective importance of evaluation items. However, the leniency error may exist when most attributes are assigned unduly high ratings. Because respondents often assign similarly complimentary scores, errors of positive leniency make it...
Proceedings Article

A Simple Approach to Stereo Matching and Its Application in Developing a Travel Aid for the Blind

Mu-Chun Su, Yi-Zeng Hsieh, Yu-Xiang Zhao
In this paper, we present an idea of using stereo matching to develop a travel aid for the blind. In this approach, images are segmented into several non-overlapping homogeneous regions using a color segmentation algorithm. For each homogeneous region, a rectangular window, which is large enough to cover...
Proceedings Article

A Novel, Efficient Architecture for the 1D, Lifting-Based DWT with Folded and Pipelined Schemes

Chin-Fa Hsieh, Tsung-Han Tsai, Neng-Jye Hsu, Chih-Hung Lai
In this paper, we propose a novel, efficient VLSI architecture for the implementation of one-dimension, lifting-based discrete wavelet transform (DWT). Both of the folded and the pipelined schemes are applied in the proposed architecture; the former scheme supports higher hardware utilization and the...
Proceedings Article

A Quick Self-Adaptive Background Updating Algorithm Based on Moving Region

Bo Qin, Chuangde Zhang, Zhenghua Fang, Wei Li
Background subtraction is a common way of real-time motion detection. Owing to lacking the right approach to update the background, it was confined in certain aspects. In this paper, we will present a quick self-adaptive background updating algorithm based on moving region, and use label method to de-noise...
Proceedings Article

Image Restoration Using RO Learning Approach

Chunshien Li, Chan-Hung Yeh, Jye Lee
In this paper, a machine-leaning-based adaptive approach is proposed to restore image from Gaussian corruption. The well-known Random-Optimization (RO) learning method is used for training of the adaptive filter. With the merit of model-free computation of RO, the derivative information is not required....
Proceedings Article

A String Comparison Approach to Process Logic Differences between Business Process Models

Yeh-Chun Juan
Analyzing process logic differences between company’s process and best practice process can assist project team in discovering process improvement opportunities. Process logic comparison has been mentioned in some literature, but research in this area still lacks effectively and efficiently analytical...
Proceedings Article

A Remote Parallel Computation System for Biomedical Data Visualization on the Grid

Chih-Han Lin, Ming-Shi Wang, Chun-Cheng Wei, Lai-Yi Chu
In this paper, a collaborative system for visualizing biomedical dataset on a Grid environment was proposed. Globus Toolkit was used for the integration of computational resources in the Grid environment, and the Visualization Toolkit (VTK) is used as the tool for processing the biomedical dataset. The...