• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.112-120
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• 2003

This paper reports the development work carried out in respect of a proposed application of Neural Network approach for the Korean Next generation Reactor (KNGR) now referred as APR-1400. The emphasis is on establishing the methodology and the approach to be adopted towards realizing this application in the next generation reactors. Keeping in view the advantages and limitation of Artificial Neural Network Approach, the role of ANN has been limited to plant status or to be more precise plant transient monitoring. The simulation work carried out so far and the results obtained shows that artificial neural network approach caters to the requirements of plant status monitoring and qualifies to be incorporated as a part of proposed operator support systems of the referenced nuclear power plant.

• Nuclear Engineering and Technology
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• v.37 no.2
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• pp.151-158
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• 2005

Advanced nuclear power plants are generally large complex systems automated by computers. Whenever a rare plant emergency occurs the plant operators must cope with the emergency under severe mental stress without committing any fatal errors. Furthermore, The operators must train to improve and maintain their ability to cope with every conceivable situation, though it is almost impossible to be fully prepared for an infinite variety of situations. In view of the limited capability of operators in emergency situations, there has been a new approach to preventing the human error caused by improper human-machine interaction. The new approach has been triggered by the introduction of advanced information systems that help operators recognize and counteract plant emergencies. In this paper, the adverse effect of automation in human-machine systems is explained. The discussion then focuses on how to configure a joint human-machine system for ideal human-machine interaction. Finally, there is a new proposal on how to organize technologies that recognize the different states of such a joint human-machine system.

• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.92-97
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• 2015

The purpose of this work is to support a solution of optimizing TMO (tone mapping operator). JPEG XT Profile A and C utilize Erik Reinhard TMO that works well in most cases, however, detailed information of a scene is lost in some cases. Reinhard TMO only calculates its coefficient to have tone-mapping curve from log-average luminance, and this lead to lose details of bright and dark area of scenes in turn. Thus, this paper proposes an enhancement of the default TMO for JPEG XT Profile C to optimize tone-mapping curve. Main idea is that we divide tone mapping curve into several ranges, and set reasonable parameters for each range. By the experimental results, the proposed scheme shows and obtains better performance within a dark scene, compared to the default Reinhard TMO.

• Journal of Families and Better Life
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• v.21 no.4
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• pp.23-39
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• 2003

The 18 housewife education experts and managers suggested various elements about the fundamental issues about the housewife education through the open-end questionnaire. In this review we first examine the education's proper direction over the three dimensions of housewife herself, family and society. In the second section, we explore the contents and the specific programs of the education. In the third section, we discuss about the various aspects of program development and operation, for example, the time schedule, program operator or lecturer, and curriculum design. In particular, all the experts and managers emphasizes the needs of housewives and tole of reproduced lecturer. In the last section, we revisit the strategies to vitalize the housewife education. They stressed the proper subjects, the encouraging methods to improve the participation rate and the government support.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.11a
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• pp.189-192
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• 2006

Following the evaluation of the irrigation & drainage structure, a suitable repair and reinforcing procedure can be selected based on this report. Successful procedures take into account the causes of the crack. This provides a survey of crack repair methods, including a summary of the characteristics of the cracks that may be repaired with each procedure, the type of irrigation & drainage structure that have been repaired and a summary of the procedures that are used. Readers are also directly contacted to the website(http:/rri.karico.co.kr/rricon). This report is intended to support the purposes, philosophy, and needs, using easily understood graphics and photos from the construction fields. The results of this study will be distributed to the public official in technical post, the operator in construction site and the member of Korea Agricultural & Rural Infrastructure Corporation and etc.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.733-738
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• 2014

We propose a new approach called as a peak time approach for faster detection of step initiation for the lower limb exoskeleton. As faster detection of step initiation is an important criterion in evaluating the lower limb exoskeleton, many studies have investigated approaches to detect step initiation faster, including using electromyography, the center of pressure, the heel-off time and the toe-off time. In this study, we will utilize vertical ground reaction force events to detect step initiation, and compare our approach with prior approaches. Additionally, we will predict the first step's heel strike time with vertical ground reaction force events from multiple regression equations to support our approach. The lower limb exoskeleton should assist the operator's movement much faster and more reliably with our approach.

• Journal of information and communication convergence engineering
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• v.1 no.2
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• pp.74-81
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• 2003

There are many researches on visual languages, but the most of them are difficult to support various collaborative interactions on a distributed multimedia environment. So, this paper suggests a collaborative visual language for interaction between multi-users. The visual language can describe a conceptual model for collaborative interactions between multi-users. Using the visual language, generated visual sentences consist of object icons and interaction operators. An object icon represents a user who is responsible for a collaborative activity, has dynamic attributes of a user, and supports flexible interaction between multi-users. An interaction operator represents an interactive relation between multi-users and supports various collaborative interactions. Merits of the visual language are as follows: supporting of both asynchronous interaction and synchronous interaction, supporting flexible interaction between multi-users according to participation or leave of users, supporting a user oriented modeling, etc. For example, an application to a workflow system for document approval is illustrated. So we could be found that the visual language shows a collaborative interaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2379-2383
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• 2009

In this paper, it is reviewed implementation of information system base on RFID for management of power equipment, and the managed status items are input/out of resource, purchasing and ordering, drawing management, equipment specification, handling of operator, received order, stock control, production results, system management, and so on. the proposed paper is designed and implemented based on RFID status management system to support monitoring services of diagnosis the failure status monitoring.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.16-22
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• 2002

Effective component retrieval is very essential for component based software development. Facet scheme is one of typical component retrieval methods and is being widely researched. In this paper, an efficient algorithm which supports a query with logical operator NOT for more than one facet values is presented. With this new algorithm the complexity to calculate a weighted synaptic connectivity matrix is enhanced. Also a new scheme is presented to support a query with logical operators for multiple facets.

• Computers and Concrete
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• v.24 no.1
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• pp.7-17
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• 2019

The complex phenomenon of the bond formation in geopolymer is not well understood and therefore, difficult to model. This paper present applied statistical models for evaluating the compressive strength of geopolymer. The applied statistical models studied are divided into three different categories - linear regression [least absolute shrinkage and selection operator (LASSO) and elastic net], tree regression [decision and bagging tree] and kernel methods (support vector regression (SVR), kernel ridge regression (KRR), Gaussian process regression (GPR), relevance vector machine (RVM)]. The performance of the methods is compared in terms of error indices, computational effort, convergence and residuals. Based on the present study, kernel based methods (GPR and KRR) are recommended for evaluating compressive strength of Geopolymer concrete.