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

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342 articles

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...

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...

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...

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...

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...

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....

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),...

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...

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...

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....

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...

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...

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,...

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...

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...

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’...

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...

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...

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...

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...

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...

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...

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....

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...

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...

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...

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...

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...

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...

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:...

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...

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.

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...

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...

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...

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...

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...