This study focuses on 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 enterprise utilizes the wholly owned market entry strategy, as well as the decentralized synchronized (market) advancement strategy...

In this paper empirical tests for the overreaction and underreaction hypothesis in the Brazilian stock market are presented. For these tests, due to the complexity of these phenomena, a new model based on the fuzzy set theory is proposed. It is shown that such model is strongly connected with two heuristics...

This paper proposes a modified copula approach to defining correlation dependence used for pricing credit derivatives. For both single-name and multiname products, how default correlations react to common shocks should be appropriately measured. The copula approach is an effective method for this purpose....

IPv6 as IP next generation is the successor to IPv4. IPv6 not only solves the shortcomings problem of IPv4 address, but also benefits the QoS especially during network congestion. Flow label field in IPv6 packet header provides an efficient way for packet marking, flow identification, and flow state...

Annuities can be effective tools in managing longevity risk in retirement planning. This paper develops a framework that merges annuity purchase decisions with consumption-investment selections in retirement planning. After introducing a pricing model and a benefit payment model for an annuity, we construct...

Stock time series query is one of the fundamental components in technical analysis. Technical analysts would like to query either a whole time series or a segment of a time series in different resolutions for long-term or short-term investigations. Moreover, unnecessary data points should be filtered...

Traditional financial planning procedures began from taking into account the planner’s initial financial situation, his/her financial goals, and expectations for the future, etc. and then calculating the future cash flows for different time periods under variant scenarios. If the planning result cannot...

This paper sets forth “Snapshot Lifecycle Management”, an innovative way to manage snapshot data rather than using Information Lifecycle Management. There are two major problems occurs in snapshot management by ILM: “inappropriate migration” and “redundancy”. SLM manages snapshot data elaborately according...

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...

In this article we describe a new methodology to facilitate communications between heterogeneous negotiation agents; in particular we present an ontology solution which allows the publication and sharing of communication primitives over Internet. Traditional negotiation systems exchange messages based...

Visual cryptography is one kind of image encrypting. It is different from traditional cryptography, because it does not need complex computation to decrypt. In current technology, most of visual cryptography are embedded a secret using two shares is limited. This paper proposes a new approach of (3,...

In this paper, we propose an algorithm to split a lengthy message to several shorter messages to accomodate the specification adopted by most telecommunication companities. We also open an issue that there may exist better algorithms to solve this problem.

The purpose of this research is to using ant colony optimization (ACO) to develop a heuristic algorithm to solve the train timetabling problem. This algorithm takes into consideration the trains scheduling in the transit period between peak period and off-peak period, the conflict resolving and the balance...

A bulletin board system (BBS) equipped with Key-Graph is proposed for supporting online chance dis-covery process. While conventional meeting for chance discovery with KeyGraph requires participants to meet in a meeting room, the paper aims to expand the discussion space over the Internet. In order to...

This work proposes a Blind Wavelet-based Image Watermarking (BWIW) technique, based on the human visible system (HVS) model and neural networks, for image copyright protection. A characteristic of the HVS, the Just Noticeable Difference (JND) profile, is employed in the watermark embedding so that the...

Some applications of the sensor network require precise time synchronization among local clocks of the sensors. Due to the limited resource in the sensor network, it is not trivial to maintain the said synchronization. In this paper, we propose a novel method, referred to as the state-based synchronization...

A heterogeneous dependency graph (HDG) defined as the intermediate representation for instruction set automated customization is presented in this paper. The main motivation of this model is to constructs a unified internal specification that bridges the gap from the application benchmarks to the instruction...

This paper aims at proposing a hybrid mining approach for e-retailers to analyze returns patterns from both the customer and product perspectives, classify customers and products by returns ratios, and then adopt proper returns policies and marketing strategies to the identified classes for reducing...

This paper presents a statistical method to match feature points from stereo pairs of images. The proposed method is evaluated in terms of effectiveness, robustness and computational speed. The evaluation was performed on several pairs of real stereo images of natural scenes taken onboard an unmanned...

This paper presents a fast method to evaluate the accuracy of a calibration method of a stereovision rig built with commercially available cameras. The method allows by retro projection to quantify very precisely errors in terms of depth reconstruction. The proposed method has been evaluated on the depth...

Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In...

“The innocent are always the first to suffer”. This is an often used proverb. In our quest to make them strong we have devised a total hack proof system for the communication process. In our mission the hackers are not the hunters but the prey. So we introduce a new security system called the bio scanning...

The prior studies are focus on the association between merge and acquisition (M&A) announcement and stockholders’ wealth. There are few studies examining the change in the level of information asymmetry at M&A announcement. Our study, therefore, goes to fill out the aspect. This paper empirically investigates...

Decision tree is one of the most significant classification methods applied in data mining. By its graphic output, users could have an easy way to interpret the decision flow and the mining outcome. However, decision tree is known to be time consuming. It will spend a high computation cost when mining...

Case-based reasoning systems usually use prior experiences and examples to solve problems. The successfulness of the systems depends on the completeness of case library. It may generate contradictory solutions or increase adaptation cost if the case library contains irrelevant and disordered cases. This...

This paper suggests that the interaction between consumers has an impact on market structure, in addition to each consumer’s own behavior. In this paper, we replicate the artificial market model proposed by Onozaki and Yanagita, and extend it by adding the network of consumers in order to show that the...

There were many researches about applying various data mining or text mining tools to patent analysis, and there were many scholars and experts have verified the accuracy and the feasibility of those tools. However, since mining tools always tried to analyze the content using some mathematic methodology,...

This study combines extended Kalman filters (EKFs) and support vector machines (SVMs) to implement a fast online predictor for option prices. The EKF is used to infer latent variables and makes a prediction based on the Black-Scholes formula, while the SVM is employed to capture the nonlinear residuals...

The purpose of this paper is to propose a ranking method for solving fuzzy multiple criteria decision making (FMCDM) problems. The representation of multiplication operation on fuzzy numbers is useful for the decision makers to rank all alternatives and choose the best one under the fuzzy multiple criteria...

Recently, owing to the fast-developing of the Internet technology, the popularity of the digital devices and the enhancement of the people’s computer ability, therefore the demand of ubiquitous personal knowledge services has gradually been mature. People can use these services to collect information,...

Recent financial liberalization in Taiwan has caused local banks to face major structural changes. This paper examines the cost structure of 36 local banks in Taiwan using the translog cost function and attempts to identify suitable operating strategies for cost reduction and performance improvements....

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...

A financial decision supporting system based on the fuzzy candlestick pattern is proposed and developed. We model Japanese candlestick patterns by using fuzzy linguistic variables. Japanese candlestick theory is an empirical model of investment decision. The theory assumes that the trend of financial...

We extend the basic random walk Markov-Switching model in two ways and evaluate the out-of-sample forecasting performance on the Japanese yen during 1995-2004. First, we estimate both a two- and also a three-regime Markov switching models. Second, we add four exogenous variables as suggested in the monetary...

This paper investigates the system of LCD monitor and TV signal processor. It is shown that the processor provides scalar, brightness and contrast adjuster, Gamma correction and dithering. The algorithms are discussed and implemented by Verilog hardware description language. The key hard codes are displayed....

Breast cancer is the leading cause of death of women in United States. Currently the effective method for early detection and screening of breast cancers is X-ray mammography. But the high rate of false positives in mammography causes a large number of unnecessary biopsies. Sonography is an important...

In this paper, a role of corner detection in outline capturing system is studied/discussed, which is normally used as phase 1 of capturing. Three outline capturing techniques are studied, one without involving any corner detection and two with most suited corner detectors. One common curve approximation...

Mammogram registration is a critical step in automatic detection of breast cancer. Much research has been devoted to registering mammograms using either feature-matching or similarity measure. However, few studies have been done on combining these two methods. In this research, a hybrid mammogram registration...

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...

The solution for the referential integrity problem is mainly addressed into what the useful information is. Thus, in contrast with the usual heuristics extracted from the problem domain, the novel approach of our research is to formally model the way to explain what the useful information is. We find...

This paper proposes an event-based hierarchical knowledge structure for Chinese news display. We apply Hierarchical Topic Detection and Tracking technique to group news reports into clusters. Considering the extensibility of events, the knowledge structure is designed with robustness to merge similar...

Protein-protein interactions (PPI) are very important to the understanding of metabolic pathway. Many digital publications are available today; some of them discuss PPI and some of them do not. If machine learning techniques can be used to detect those PPI documents automatically, it would save researchers...

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...

The rapid evolution of network and distributed computing, such as Service Oriented Architecture (SOA), is increasing the challenge of securely controlling access to enterprise IT resources. As gaining access to distributed resources becomes increasingly vital, the ability to make sure that the right...

Information security ≠ information system + security features such as access control and intrusion detection. Security considerations must be an integral part of the entire lifecycle of the information system. This paper presents a framework to systematically classify all security considerations throughout...

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...

The challenge of the business decision support domain is that a large amount of diverse information can be potentially relevant to a decision, and that, frequently, the decisions have to be made in a timely manner. This presents the potential for better decision support, but poses the challenge of building...

To analyze the function of DNA, researchers have to obtain each haplotype, the genetic constitution of an individual chromosome, of an individual for analysis. Due to the significant efforts required in collecting haplotypes, genotypes, which are the descriptions of one conflated pair of haplotypes,...

Due to the high complication of collaboration system, this thesis proposes a conceptual framework for collaboration system as a reference architecture for the collaboration systems. In the mean time, this thesis illustrates the functionalities of a collaboration system, the problems it resolved, and...

Due to congenital restriction of sensors, it is always a crucial issue on how to utilize limited energy effectively. We first put forward a network topology construction method, based on energy saving, including the way of forming a cluster and selecting middle heads and cluster heads. We then employed...

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...

Robust parameter design has been successfully applied to a variety of engineering problems for enhancing the robustness of the system; however, it cannot deal with multiple dynamic quality systems. Although several other approaches have been presented to resolve this problem, they are unable to efficiently...

A vector algorithm is an algorithm that applies a bounded number of vector operations to an input vector, regardless of the length of the input. The allowable operations are usually restricted to bit-wise operations available in processors, including shifts and binary addition with carry. This paper...

The future multimedia Internet needs mechanisms to provide QoS (Quality of Service) for users. Service curve (SC) is an effective description of QoS and SCED (service curve based earliest deadline first policy) is an efficient scheduling algorithm to guarantee SCs specified by users. Deadline calculation...

Most cryptographic works these days have employed mathematical concepts to design cryptosystems and algorithms. Therefore, mathematical concepts have become critical in the designing of cryptosystems, and are generally used to analyze cryptosystems and protocols, supporting the allegation that the intended...

This study presents an anonymous signcryption scheme based on the elliptic curve cryptosystem, which combines the properties of elliptic curve cryptosystem and ring signature. While the signers are endowed with anonymity through the technique of ring signature, the elliptic curve cryptosystem achieves...

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...

Web page prediction is a popular personalized service on the Web and has attracted much research attention. One of the most successful and widely used approaches is collaborative filtering. Traditional collaborative filtering requires explicit user participation for providing his/her interest to the...

High performance architectures for the data intensive and latency restrained applications can be achieved by maximizing both parallelism and pipelining. In this paper, the CORDIC based hardware primitives of 3-D rotation with high throughput 3-D vector interpolation are presented. The proposed architecture...

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...

This paper discusses the Flow-Orientation Problem (FOP), which assigns orientations of all links of an undirected network to obtain a directed network for meeting some flow optimization measurements. First, we describe the background and define three related FOP issues: MDFOP, MDSFOP, and MDDFOP. We...

In this thesis, we have proposed an anonymous electronic voting scheme with uncoercibility, and we make use of two especial mechanisms called multiple receipts and dual randomization instead of the previous receipt-freeness to achieve the uncoercibility property. Moreover, we also adopt blind signatures...

Cluster-based routes help data transmission in ad hoc networks. Mobile users are organized into a cluster for requiring common multimedia service. However, node mobility does not guarantee multimedia transmission. This study presents a measure of cluster-based route’s stability based on a prediction...

Image hiding is hiding a secret image embedding to a cover image. This paper intends to propose an image hiding method. First, a secret image is compressed by BST. Meanwhile, dividing the compressed data into different ranks depends on the significance. Then, the cover image is transformed into frequency...

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...

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...

This paper presents an effective analysis scheme for Diffuse Large B-Cell Lymphoma (DLBCL) microarray datasets. Analysis of variable (ANOVA) is a well known statistics tools. It is useful to get the oncogenes to distinguish the normal and cancerous tissues. But, it can not further obtain the sub-types...

Location-Based Services (LBS) are available on hand-held devices and become a field of active research since the recent advances in wireless communication and mobile environment. Due to the constraints of bandwidth of network, space of storage and energy of battery in the mobile client, slow information...

In 2004, Abe et al. proposed a novel threshold signer-ambiguous signature scheme from variety of keys. Their scheme is a generalized case of the ring signature scheme. They claimed that their scheme allows the base signature schemes to be based on sigma-protocols, including Schnorr’s signature scheme,...

In 2002, Chien, Jan, and Tseng proposed an e±cient and practical solution to remote authentication using smart card. However, in 2004, Hsu pointed out Chien, Jan, Tseng's scheme has a secure flaw that is vulnerable to parallel session attack. Therefore, in this paper, we improve Chien, Jan, Tseng's scheme...

With the advance of science and technology, wireless networks are becoming a significant part of today’s access networks. Ad hoc networks are wireless mobile networks without an infrastructure. Recently more and more multimedia services are applied to ad hoc networks. Because of the problem of the mobility,...

Providing qualified documents are expected helpful for KeyGraph to translate the documents an appropriate and easy read KeyGraph diagram. And further, to discover worthy chances for decision making. We proposed 2 preprocessing strategies for assuring appropriate quality of documents, especially for decision...

Let G(V, E, W) be a graph n vertices and m edges, where each edge e is associated with a positive distance W(e). The traditional p-Center problem is to locate some kind of facilities at p vertices of G to minimize the maximum distance between any vertex and its nearest facility. This paper proposes a...

In this paper we present a 3-D floorplan representation based on the methodologies of Corner Block List (CBL). Our model is an extension and generalization of the original 2-D CBL and inherits its most crucial advantages including: linear time operations and evaluations, relatively small solution space...

Less Flexibility First(LFF) principle is inspired and developed by enhancing some rule-of-thumb guidelines resulting from the generation-long work experience of human professionals in ancient days. In this paper, we generalize this principle to the classical Traveling Salesman Problem and propose a tour...

In this paper, two smoothing effects are firstly pointed out by analysis and by experiment on Traveling Salesman Problem(TSP) instances. We design a novel algorithm which runs stochastic local search under the SSS framework. The function determining the accepting probability of uphill moves is designed...

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...

Assume that n is any positive integer. The brother tree BT(n)is an interesting family of 3-regular planar bipartite graphs recently proposed by Kao and Hsu. In any BT(n), we prove that there exist three internally-disjoint spanning paths joining x and y whenever x and y belong to different partite sets....

In this paper we propose a linear-time algorithm to solve the problem of finding an induced interval graph with a maximum number of vertices in a distance hereditary graph.

Researchers usually focused on using unstructured documents as input documents of KeyGraph. But the unstructured documents might results in unclear keywords and meaningless keywords. Although traditional document preprocessing could dismiss some of the problems, generating complex and unreadable KeyGraph...

In this paper, a high-efficient lined-based architecture for the 9/7 discrete wavelet transform (DWT) based on lifting scheme is proposed. The proposed parallel and pipelined architecture consists of a horizontal filter (HF) and a vertical filter (VF). The critical path of the proposed architecture is...

In this paper, we develop a heuristic algorithm to construct an efficient object tracking in wireless sensor networks (WSNs). Such wireless sensor network has to be designed to achieve efficient object tracking for given arbitrary topology of wireless sensor networks. We consider the two-way object moving...

People pay much attention to the technology of data mining recently and more and more research institutions begin to buy the databases to analyze. If it doesn’t concern customer’s secrets the enterprises would also like to sell their data warehouse to do the research. Therefore, it becomes an important...

With the wide deployment of broadband wireless networks around the world, there is a growing interest in wireless personalized video streaming. However, the bit error rate (BER) of wireless networks is much higher than that of wired networks. The high BER, unfortunately, will significantly degrade the...

Embedding of paths have attracted much attention in the parallel processing. Many-to-many communication is one of the most central issues in various interconnection networks. A graph $G$ is globally two-equal-disjoint path coverable if for any two distinct pairs of vertices $(u, v)$ and $(w, x)$ of $G$,...

Dynamic reconfigurable computing (DRC) system is becoming increasingly attractive with its potential to combine high performance and rich functionality. But problems exist in practical application of DRC, such as that designers need to know the architectural and physical details of reconfigurable device....

The purpose of this paper is to propose a system and process for maximizing store profits to discover the optimal price pattern among various items based on a purchase prediction models. This system, called PRISM, involves the use of data mining techniques to handle a large amount of customer purchase...

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...

In this paper, high-efficient lifting-based architectures for the 5/3 discrete wavelet transform (DWT) are proposed. The proposed parallel and pipelined architecture consists of a horizontal filter (HF) and a vertical filter (VF). The system delays of the proposed architectures are reduced. Filter coefficients...

The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in an acceptable classification accuracy. Therefore, a good feature selection method based...

This investigation develops an efficient face detection scheme that can detect multiple faces in color images with complex environments and non-uniform illumination conditions. The proposed scheme comprises two stages. The first stage adopts YES color and triangle-based segmentation to search potential...

Spatiotemporal data model, which is the basis of spatiotemporal information management, deals with the representation and manipulation of spatiotemporal data. So far many spatiotemporal data models have been proposed, but most of them concentrated on the representation of spatiotemporal objects and few...

This paper proposes a new interface model for crosslayer designs using generalized fuzzy automata (GFA) and fuzzy control. When using the proposed model, an upper layer is reduced to an adaptive and cognitive controller and the lower layers act as hierarchical plants. In this paper, we utilize the model...

The objective of this research is to represent the managerial logic of Mr. Yung-Ching Wang, the Chairman of Formosa Plastics Group (also known as the “God of Business” in Taiwan) through the construction of knowledge maps using a text-mining approach, including automatic key phrase extraction, term identification,...

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...

The problem of detecting the given subsystems in complex circuits is now an important problem in the computer aided design of VLSI. The algorithm for solving the problem of detecting recurring subsystems is presented in this paper. The algorithm is structure independent, namely any circuit which can...