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129058 articles
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

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

Two Are Better than One?

Ming-Yuan Li
In this paper we adopt the Markov-switching specification to establish the hybrid model with time-varying loading on each of chartist and fundamentalist techniques. The US dollar exchange rates of four Asian tiger countries’ currencies serve as the representative examples in this paper. Our empirical...
Proceedings Article

Nanometric Displacement Measurement System Using Three-Longitudinal-Mode He-Ne Laser

Shahram Mohammad Nejad, Saeed Olyaee
In this paper, design and simulation of a nanometric displacement measurement system is discussed. The combination of the Doppler effect and interferometry method is being used. A stabilized three-longitudinal-mode He-Ne laser with 632.8nm wavelength and 35cm cavity length is used. Its primary and secondary...
Proceedings Article

Accuracy Improvement in the Nano-Displacement Measurement Based on the Doppler-Interferometry Method by Cross-talk Reduction

Saeed Olyaee, Shahram Mohammad Nejad
In this paper, accuracy improvement in the displacement measurement systems using Doppler-interferometry method is presented. The cross-talk error reduction methods are also discussed. Based on the mentioned method, a new nano-displacement measurement system is designed. In the designed system, the signal...
Proceedings Article

A new design of laser phase-shift range finder independent of environmental conditions and thermal drift

Shahram Mohammad Nejad, Kiazand Fasihi
This paper presents a technique to improve the performance of laser phase-shift range finders. The phase measurement is performed by using a new method to extract the phase-shift data from the peak of received and transmitted intermediate frequency signal amplitudes. The pulse width modulation is used...
Proceedings Article

An ILP Approach to the Simultaneous Application of Operation Scheduling and Power Management

Shih-Hsu Huang, Chun-Hua Cheng, Chung-Hsin Chiang, Chia-Ming Chang
At the behavioral level, large power saving is possible by shutting down unused operations, which is commonly referred to as power management. However, on the other hand, operation scheduling has a significant impact on the potential for power saving via power management. In this paper, we present an...
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 time-series relation between monthly sales and stock prices

Yann-ching Tsai, Hsueh-Fang Chien, Shu-Hua Lee
Security Exchange Commission in Taiwan requires all public companies to file and announce their monthly sales figure by the of the following month. This requirement has established another channel for market investors to obtain additional accounting information on a more timely basis than quarterly or...
Proceedings Article

Reversible Palette Image Steganography Based on De-clustering and Predictive Coding

Hsien-Chu Wu, Hui-Chuan Lin, Chin-Chen Chang
Steganographic technology acts as the important role which defends information security in the network. The information could be hidden in multimedia object. Even if transmitted in an unsafe channel, the information is invisible by human visual system to maintain security. This paper presents a reversible...
Proceedings Article

Leveraging Ontology-Based Traditional Chinese MedicineKnowledge System: Using Formal Concept Analysis

Kwoting Fang, Chingwei Chang, Yenping Chi
The main purpose of this paper is to show the use of FCA to support the building of ontology-based Traditional Chinese Medicine with herbal medicine serving as an example. This knowledge-sharing platform may make expert’s knowledge clearer, may connect with average people, and may provide patients with...
Proceedings Article

A DCT-based Recoverable Image Authentication

Hsien-Chu Wu, Chin-Chen Chang, Ting-Wei Yu
In this paper, a scheme that has tamper proofing and recovery abilities is proposed. With the specific DCT frequency coefficients taken as the characteristic values, which are embedded into the least significant bits of the image pixels, it is used to provide proof of image integrity. If the image is...
Proceedings Article

Stock Data Mining through Fuzzy Genetic Algorithms

Longbing Cao, Chao Luo, Jiarui Ni, Dan Luo, Chengqi Zhang
Stock data mining such as financial pairs mining is useful for trading supports and market surveillance. Financial pairs mining targets mining pair relationships between financial entities such as stocks and markets. This paper introduces a fuzzy genetic algorithm framework and strategies for discovering...
Proceedings Article

A Study of Improving the Coherence in Multi-Step Ahead Forecasting

Chao-Fu Hong, Yung-Sheng Liao, Mu-Hua Lin, Tsai-Hsia Hong
The traditional multi-step ahead prediction is based on sequential algorithm to run multi-step ahead prediction and it brings error propagation problem. Furthermore, the prediction error of multi-step ahead includes both system and propagation errors. Therefore, how to decrease the propagation error...
Proceedings Article

Using Fuzzy Regression and Neural Network to Predict Organizational Performance

Liang-Hung Lin
As everyone knows, multiple regression analysis is an important approach to prediction studies. However, regression model has some limitations and constraints in the real world practices. This study applied fuzzy regression using neural network (FRNN) to predict organizational performance, and the findings...
Proceedings Article

Identifying Steady State Relationships in a Multidirectional System: A Multivariate Cointegration Analysis

Chandika Gunasinghe
This paper aims at identifying steady state relations (cointegrated relationships) in a system that contains multidirectional nexuses for a hypothetical economic structure. The study discusses various econometric tools needed to identify long run cointegration vectors and employs these tools to derive...
Proceedings Article

A Computation-Aware Scheme for Motion Estimation in H.264

Jin-Jang Leou, Fu-Chieh Chuang
In this study, a computation-aware scheme for motion estimation (ME) in H.264 is proposed. The objective of the proposed scheme is to properly distribute the available ME computations of the H.264 encoder. Here, the temporal motion vector prediction technique is used to get the predicted motion vector...
Proceedings Article

Integrating Competition Strategy to QFD for Technical Design

Yai Hsiung, Pao-Yuan Chang
Quality Function Deployment (QFD) is an approach to translate customer requirements into technical requirements for a product or service. The traditional QFD provides a fundamental analysis, but it is still inconvenient when decision making in technical design should address business objection. The competition...
Proceedings Article

OSSP: Overlay Streaming Service Platform

Tein-Yaw Chung, Huai-Lei Fu, Chih-Chen Wang, Yung-Mu Chen
Overlay network had received great attention in recent years. Overlay network usually used the peer-to-peer(P2P) networking paradigm for enabling end systems to share their resources. Recent researches had proposed many interesting applications on overlay network such as files sharing and multimedia...
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

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

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

A Novel Feature Extraction Method for Facial Expression Recognition

Xiaoyi Feng, Baohua Lv, Zhen Li, Jiling Zhang
In this work, a novel facial feature extraction method is proposed for automatic facial expressions recognition, which detecting local texture information, global texture information and shape information of the face automatically to form the facial features. First, Active Appearance Model (AAM) is used...
Proceedings Article

Complexity and entropy density analysis of the Korean stock market

Jeong won Lee, Joongwoo Park, Hang-Hyun Jo, Jae-Suk Yang, Hie-Tae Moon
In this paper, we studied complexity and entropy density of stock market by modeling epsilon-machine of Korean Composition Stock Price Index (KOSPI) from year 1992 to 2003 using causal-state splitting reconstruction (CSSR) algorithm.
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

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

An Improved Vector Quantizer Design Method: the Codebook Reorganization Algorithm

Ting-Wei Hou, Houng-Kuo Ku, Yuan-Tsung Chen
Generalized Lloyd Algorithm(GLA) is important in vector quantizer design. It runs fast, but it is sensitive to initial conditions and it may find a local optimum. We propose an improved approach based on GLA, named vector quantized codebook reorganization algorithm (VQCRA). VQCRA finds better codebooks...
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

A QoS Improvement for Mobile Network in Large Vehicles

Chia-Hui Wang, Te-Chih Wang
In large vehicles such as a train, passengers can access Internet through an in-vehicle mobile router to effectively reduce the cost and overhead of roaming to a new network. While we apply the idea of mobile network into large vehicles, the critical issue is how to build up seamless Internet access...
Proceedings Article

1/f Fractal Signals Denoising with Dual-Tree Complex Wavelet Transform

Xueyan Li, Shuxu Guo, Ye Li, Jingwei Fu, Shuai Jiang
In the paper, an algorithm based on Dual-Tree Complex Wavelet Transform is proposed for process denoising. Use the variance of the wavelet coefficients at different scales to estimate the parameters of process. Adopting Maximum a Posteriori estimator estimates the wavelet coefficients of process. The...
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

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

Variable Selection Method Affects SVM-based Models in Bankruptcy Prediction

Chih-Hung Wu, Wen-Chang Fang, Yeong-Jia Goo
This paper examined bankruptcy predictive accuracy of five statistics models--discriminant analysis logistic regression, probit regression, neural networks, support vector machine (SVM), and genetic-based SVM (GA-SVM) that influenced by variable selection. Empirical results indicate that the SVM-based...
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

The Influence of Investor Psychology on Disposition Effect

Shu Chun Hsiao, Sun Pi-Chuan
In 1980s, many empirical researches’ findings (i.e., Shiller(1984), Thaler (1985) et al. ) did not support efficient market hypothesis (EMH). Previous studies (e.g., Bernartzi and Thaler, 1995) related to behavioral model suggest that certain market anomalies are consistent with the presence of irrational...
Proceedings Article

A Study on Imputing Censored Observations for Exponential Distribution Based on Random Censoring

Kuo-Ching Chiou
Censoring models are frequently employed in reliability analysis to reduce experimental time. There are three censoring model: type-I, type-II and random censoring. In this study, we focus on the right-random censoring model. In the previous literature, an imputation of the censored observation is considered...
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

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

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

Semantic entailment of attribute-dependency formulas and their non-redundant bases

Radim Belohlavek, Vilem Vychodil
AD-formulas are simple formulas representing particular dependencies in data tables. We study AD-formulas from the logical point of view. In particular, we present results regarding the relationship of AD-formulas to attribute implications, models and entailment of AD-formulas, non-redundant bases, and...
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

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

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

Multi-Layer Allocated Learning Based Neural Network for Resource Allocation Optimization

Po-Chang Ko, Ping-Chen Lin, Jan-An You, Yu-Jen Tien
The investor’s asset allocation choice deeply depends on the trade-off between risk and return. The well-known mean variance method requires predetermined risk and expected return to calculate optimal investment weights of portfolio. The artificial neural network (ANN) with nonlinear capability is proven...
Proceedings Article

An Evolutionary Weight Encoding Scheme and Crossover Methodology in Portfolio Assets Allocation

Ping-Chen Lin, Po-Chang Ko, Hsin-Chieh Wang
Most of GA-based portfolio assets allocation uses normalization method to allocate investment asset’s weight. However, the normalization process will cause unease converging and even diverging characteristics, because it changes the gene’s relativity of address in chromosome. In this paper, we propose...
Proceedings Article

A Parallel Multi-Criterion Evolutionary Approach for Pension Fund Asset Liability Management

Christian Daniel Von Lücken, Benjamín Barán, Fabián Laufer, Margarita Rojas, Walter Delgado, Mariano Escurra
This paper describes a decision making support system developed for asset liability management of a Paraguayan pension fund company. The model combines a parallel Multi-objective Evolutionary Algorithm and stochastic scenario generators to find good asset allocations that optimize several conflicting...
Proceedings Article

Bayesian estimation of GARCH model by hybrid Monte Carlo

Tetsuya Takaishi
The hybrid Monte Carlo (HMC) algorithm is used for Bayesian analysis of the generalized autoregressive conditional heteroscedasticity (GARCH) model. The HMC algorithm is one of Markov chain Monte Carlo (MCMC) algorithms and it updates all parameters at once. We demonstrate that how the HMC reproduces...
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

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

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...