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To facilitate the transition from paper-based patient record (PPR) to computer-based patient record (CPR), engineers should try to improve the usability of CPR system. From the point of view of a physician, we reviewed PPRs written by 8 Japanese physicians. We revealed the characteristics of PPR to find out about the barrier to transition from PPR to CPR. Our findings may be helpful to the engineers who are aiming to develop a CPR system. [ABSTRACT FROM AUTHOR]

In this paper we describe the design of a hybrid search that combines simple metadata search with a traditional keyword search over unstructured context data. This paradigm provides the inquirer additional options to narrow the search with some semantic aspects through the XML metadata query. We demonstrate a paper search for a case study of the hybrid search, and describe a data integration hub to integrate those data dispersed on the Net. [ABSTRACT FROM AUTHOR]

This paper describes the benefits that small companies can obtain from the United Kingdom Department of Trade and Industry Knowledge Transfer Partnerships business support product. This provides funding for collaborations between universities and companies in order that knowledge and technology transfer between the partners can occur. Knowledge Transfer Partnerships can support a wide range of commercial activities, proving there is a solid business case to show that the government support will lead to improvements in the profitability of the company. This paper describes the Knowledge Transfer Partnerships product. It then goes on to present a case study of a business collaboration under the scheme between Powerlase Ltd, a manufacturer of laser systems, and the University of Brighton, to implement intelligent condition monitoring in the Company's products. [ABSTRACT FROM AUTHOR]

Recently, various types of data are expected to get in information processing according to multi-media technology. Especially, linguistic data are employed in fuzzy systems as well as fuzzy numerical values. In this paper we propose a text minig method based on fuzzy quantification model. In the process of text mining, we will pursue the following steps: 1) Sentences included in a text in Japanese are broken down into words. 2) It is possible to realize common understanding using fuzzy thesaurus that enables us to translate words into synonyms or into upper concepts. In this paper, we employ the method to translate words using Chinese characters or continuous letters of Katakana more then one katakana letter (Japanese alphabet letter) into keywords. The method realizes the high speed of processing without any dictionary for separating words. Fuzzy multivariate analysis is employed to analyze such processed data and to abstract a latent mutual related structure under the data. In other words, we abstract the knowledge from the given text data. At the end we apply the method to mining the text information of libraries and Web pages distributed over a web network and discussing about the application to Kansei engineering. Keywords: Text mining, fuzzy quantification analysis, library data. [ABSTRACT FROM AUTHOR]

By adopting a non-interactive information-theoretic secure verifiable secret sharing scheme in an unorthodox way, a verifiable fingerprint vault scheme is presented in this paper. Fuzzy vault scheme is a novel cryptographic construct which can increase the security of the biometric template in a biometric authentication system. It can be also used to bind the cryptographic key and the user in a cryptosystem to overcome the security problems caused by the key stolen, key illegally shared, etc. The main weakness of the scheme is the computation complexity is too high for the legitimate user to unlock the vault. In this paper, a verifiable fingerprint vault is proposed to improve the fuzzy vault scheme. It is shown that our scheme is effective. [ABSTRACT FROM AUTHOR]

This paper presents a mathematical model that employs a new genetic algorithm for motor identification. Mechanical structures require precise motor information for high control performance. However, it is difficult to acquire accurate motor information and a genetic algorithm can be an adequate method to search unknown parameters using only angular position. The previous methods by using conventional genetic algorithms do not give the most optimal result since they cannot adjust the parameters with infinite precision. A new method is needed to identify uncertain motor information. This paper proposes a mathematical model that was searched by the newly proposed genetic algorithm. The induced motor model is verified through the real experiment. [ABSTRACT FROM AUTHOR]

This paper presents an approach to control pluggage of a coal-fired boiler. The proposed approach involves statistics, data partitioning, parameter reduction, and data mining. The proposed approach was tested on a 750 MW commercial coal-fired boiler affected with a fouling problem that leads to boiler pluggage that causes unscheduled shutdowns. The rare-event detection approach presented in the paper identified several critical time-based data segments that are indicative of the ash pluggage. [ABSTRACT FROM AUTHOR]

In this paper there is an intelligent human-machine speech communication system presented, which consists of the intelligent mechanisms of operator identification, word and command recognition, command syntax and result analysis, command safety assessment, technological process supervision as well as operator reaction assessment. In this paper there is also a review of the selected issues on recognition and verification of voice commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and commands using neural networks made of a few layers of neurons. The paper presents research results of speech recognition and automatic command recognition using artificial neural networks. [ABSTRACT FROM AUTHOR]

This paper describes techniques to present human action information on an avatar-based interaction system, using real-time motion sensing and human action symbolization. Avatar-based interaction systems with computer-generated virtual environments have difficulties in acquiring user's information, i.e., enough information to represent the user as if he/she were in the environment. This mainly comes of high degrees of freedom of human body and causes the lack of reality. Since it is almost impossible to acquire all the detailed information of human actions or activities, we, instead, recognize, or estimate, what kind of actions have occurred from sensed human motion information and other available information and re-generate detailed and natural actions from the estimated results. In this paper, we describe our approach, Real-time Human Proxy, especially on representing human actions. Also we present experimental results. [ABSTRACT FROM AUTHOR]

Supporting adaptive learning is one of the key problems for hypertext-based learning applications. This paper proposed a timed Petri Net based approach that provides adaptation to learning activities by controlling the visualization of hypertext information nodes. Simple examples were given while explaining ways to realize adaptive operations. Future directions were also discussed at the end of this paper. [ABSTRACT FROM AUTHOR]