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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....

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...

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...

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...

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...

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...

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...

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:...

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...

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.

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...

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 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...