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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...

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...

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....

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...

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...

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...

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...

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...

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...

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...

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...

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....

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...

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...

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....

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.

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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....

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),...

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...

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...

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....

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...

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...

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,...

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...

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...

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’...

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...

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...

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...

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...

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...

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...

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....