Catálogo de publicaciones - libros

This paper addresses an integrated information mining techniques for multimedia TV-news archive. The utilizes techniques from the fields of acoustic, image, and video analysis, for information retrieval on news story title, newsman and scene identification. The goal is to construct a compact yet meaningful abstraction of broadcast news video, allowing users to browse through large amounts of data in a non-linear fashion with flexibility and efficiency. By using acoustic analysis, the system can classify video into news versus commercials, with 90% accuracy on a data set of 400 hours TV-news recorded off the air from July 2003 to August of 2004. By applying speaker identification and/or image detection techniques, each news stories can be segmented with an accuracy of 96%. On screen captions or subtitles are recognized by OCR techniques to produce the text title of each news stories. The extracted title words can be used to link or to navigate more related News contents on the WWW. In cooperation with facial and scene analysis and recognition techniques, OCR results can provide users with multimodality query for specific news stories. Some experimental results are presented and discussed for the system reliability and performance evaluation and comparison.

In this paper, we proposed an emergency model of home network environment based on genetic algorithm. This model can not only adapt the home network environment by using genetic algorithm but also detect the emergency events automatically. There are four modules in this model, saying, training knowledge base (TKB), genetic operator module (GOM), emergency knowledge base (EKB), and emergency early warning module (EEWM). TKB receives the messages from the environment and provides them for GOM to train EKB. GOM trains the EKB to fit the real situation by using genetic algorithm. EKB includes the database and the rule base which can provide messages for EEWM to infer. EEWM determines the emergency situations by fuzzy inferences and sends the caution messages to the users by mobile devices. Via this model, our home network environment will become more reliable and safer.

In this paper, we proposed a distributed backup agent based on grid computing architecture. In grid environment, this agent can assist user to backup the data files in different nodes storages,update replicas synchronously, and access the replicas if necessary. There are two modules in this agent, saying, grid consistency service module (GCSM) and grid transaction module (GTM). GCSM can monitor the grid backup nodes status, e.g. storages space, on-line available, etc. GTM can maintain the consistency and integrity of backup files. This agent makes the distributed backups of the data files be more convenient and secure to access.

In this paper, we proposed a dynamic supervising model based on grid environment. This model can utilize the grid resources, e.g., CPU, storages, etc., more flexible and optimal. There are three modules in this model, saying, connecting authentication module (CAM), trusting module (TM), and resource monitor module (RMM). CAM can authenticate the demander. TM can adjust trust degrees of the other collaborators by fuzzy inferences, and provide these trust degrees for RMM to schedule the works process. RMM can discover the resources, schedule and distribute works to others nodes. Once the demander passes the authentication, RMM will schedule and distribute works depending on the trust degrees from TM. RMM will dynamically monitor the resource variation of these collaborators. This model not only can make the collaboration more flexible and reliable, but also can optimize the grid resources.

The purpose of this study is to propose an intelligent extracting web content agent on the internet. This agent can automatically collect the web pages, generate several kinds of web pages templates, extract and simplify the appropriate web pages, provide the headlines for remote users via the remote devices. Via the proposed agent, the remote users can easily get the web information without large network bandwidth and read them by the remote devices conveniently.

The correspondence between precision dance movements and the accompanying musical arrangement is imperative to the reception of the performance. Whether the choreography is excellent or not becomes irrelevant if the performer’s movements do not coincide with the score. This paper proposes an evaluation method based on an audience’s impression of the correspondence between the music and the dancer’s movements. This evaluation method is called “ (Sensibility) Matching.” For the matching method developed in this research, the term refers to a set of terms that express, verbally, the sentiment of music and movement.

In 1965 L.A. Zadeh presented a fuzzy set. After then, fuzzy clustering method was proposed in early stage. L.A. Zadeh presented the concept of similarity for a fuzzy set in 1981. Ruspini proposed a clustering method based on fuzzy decomposition. Dunn and Bezdek wrote a clustering based on IDODATA algorithm in terms of fuzzy concept. Many methods for fuzzy multivariate analysis were presented .

For example, there are several approaches to multivariant analysis such as dynamic programming, M. Sugeno’s measure, similarity concepts and clustering. M. Roubens and M.P. Windham discussed about the validity of clustering. Regarding hierarchical clustering, N. Osumi et al discussed it using fuzzy concepts. J. Watada et al proposed a heuristic hierarchical clustering which is employing similarity concepts of L.A. Zadeh’s. There are many papers which discuss fuzzy clustering.

In 1979 H. Tanaka et al proposed fuzzy linear regression model. This development broke through fuzzy multivariate analysis because no methods are proposed except clustering and hierarchical clustering till then. There are also various applications of fuzzy multicariant analyses. Furthermore, various data analyses were proposed based on the fuzzy linear regression model. For example, J. Watada et al developed Fuzzy time-series analysis and I. Hayashi developed GMDH method.

This paper summarizes the 40 year history of Fuzzy Multivariate Methods.

It is difficult to define a comfortable space for each individual. It is partly because comfortness relates to many attributes that specify a space, partly because each individual has different preference, and also because even the same person changes his/her preference according health states, body conditions, working states and so on. Various parameters and attributes should be controlled in order to realize such a comfortable space according the data-base of past usages. Information obtained from human bodies such as temperature, blood pressure, α brainwave and etc. can be employed to adjust the space to the best condition. The objective of this paper is to achieve a comfortable space in terms of Kansei engineering. It is required to realize our comfortable environment suitable to feelings and customers often have their individual preference so that they feel comfortable, too. Kansei Engineering is a technology to offer better products to the customers by employing human sensitivity.

Job assignment is one of most important functions in human resource management. It presents a new model which optimizes the multi-objectives allocation problem by using fuzzy logic strategic. The fuzzy experience evaluation matrix indicates the score of certain employee on certain task. The values in the matrix are based on the employee’s experience. Fuzzy appraisal decision-making method provides fuzzy synthesis appraisal matrix referring to individual experience value. Then Task-Arrange or Hungarian Algorithm provides the final solution with the help of our proposed experience matrix. As a numerical example demonstrated, it is helpful to make a realistic decision on human resource allocation under a dynamic environment for organizations.

It is important that we produce a business rule and schedule in the manufacture process. The business rule is related at the dispatching to assign the material(lot) at the resource(equipment). The schedule is to plan a daily job scheduling of a total processes. In this paper, we develop the builder and editor for business rule flow and the workflow engine for dispatching and scheduling. We propose systemical development process using component and UML(Unified Modeling Language) technology to analysis, design and develop. The development process is an attempt to consider all of the best features of existing domain requirements. Also, we define rule format of XML(eXtended Markup Language) for mapping between a rule engine and builder. The builder generates XML from a rule and parses to save the rule at the repository. Finally we describe how these concepts may assist in increasing the efficiency and productivity in business application and manufacture process.