• Journal of Digital Contents Society
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• v.13 no.2
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• pp.159-167
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• 2012

Eye tracking technology tracks human eyes movements to understand user's intention. This technology has been improving slowly and should be used for a variety of occasions now. For example, it enables persons with disabilities to operate a computer with their eyes. This article will show a typical implementation of an eye tracking system for persons with disabilities, after introducing the design principles and specific implementation details of an eye tracking system. The article discussed the realization of self-adapting regulation algorithm in detail. The self-adapting algorithm is based on feedback signal controlling the lens movements to realize automatic focus, and to get a clear eyes image. This CCD camera automatic focusing method has self-adapting capacity for changes of light intensity on the external environment. It also avoids the trouble of manual adjustment and improves the accuracy of the adjustment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.305-306
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• 2010

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.768-772
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• 1991

The Self Creating and organizing (SCO) is a new architecture and one of the unsupervized learning algorithm for the artificial neural network. SCO begins with only one output node which has a sufficiently wide response range, and the response ranges of all the nodes decrease with time. Self Creating and Organizing Neural Network (SCONN) decides automatically whether adapting the weights of existing node or creating a new node. It is compared to the Kohonen's Self Organizing Feature Map (SOFM). The results show that SCONN has lots of advantages over other competitive learning architecture.

• ETRI Journal
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• v.41 no.1
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• pp.124-132
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• 2019

The energy balance (EB) model of a primary side regulation (PSR) fly-back converter in the discontinuous conduction mode (DCM) is discussed in this paper. Based on this EB model, the stability of a PSR fly-back converter in the pulse skipping mode (PSM) is analyzed, and a self-adapting modulation factor control strategy is proposed. Theoretical analysis and simulation results show that by saving an optocoupler and correlative circuits, which are necessary in traditional PSM fly-back converters, the modulation factor tolerance controlled by this method is 1.26% on average, corresponding to the ideal value. Compared with traditional fly-back PSM controllers, the power saved in the sampler/comparator modules is 87% on average for a load range of $1{\Omega}$ to $1k{\Omega}$.

• The Journal of Information Systems
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• v.16 no.4
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• pp.243-268
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• 2007

It is critical to manage risks to complete IS(Information Systems) projects successfully. Identifying risk factors would be the first step for the project risk management. Previous research has discussed the issue with various points of view, such as different risk factors based on project types and roles involved in their projects. This paper empirically explored how people perceive different risk factors by project development methodology, between self-developing IS using programming language like C, Visual Basic and adapting software package already developed by software venders like ERP, CRM packages. There are researches regarding project risk factors for project management in the several point of views. And there are also researches regarding comparison between self-developing and adapting software packages methodology in IS project. However, there are no study on project risk factors comparison between self-developing IS using programming language and adapting software packages already developed by software venders in IS project. This research can be differentiated from previous ones, because it was considered both point of project risk management and development methodology in IS project. This research results implied meaningful messages to enterprise company to be planned IS projects and people who involved in IS projects. They should consider and need to prepare differently according to each development methodology for preventing project risks. It makes them reduce project risks in each case and complete successfully IS projects. Especially, if they have no experiences for implementing software packages, they can forecast the project risks and prepare them in advance.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.18-21
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• 1995

In this paper we describe a new method for multimodal function optimization using genetic algorithms(GAs). We propose adaptation rules for GA parameters such as population size, crossover probability and mutation probability. In the self organizing genetic algorithm(SOGA), SOGA parameters change according to the adaptation rules. Thus, we do not have to set the parameters manually. We discuss about SOGA and those of other approaches for adapting operator probabilities in GAs. The validity of the proposed algorithm will be verified in a simulation example of system identification.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.81-94
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• 2018

The purpose of this study is to substantiate the affecting factors of informal learning outcomes for professions in various dimensions of an individual and organization. In specific, the study analyzed the effects of learning motivation, job characteristics, and a supportive learning environment which have on task-related knowledge acquisition, adapting to organization and understanding contexts, relationship formation, and improving self-development-ability. The participants of the study were 261 professionals working at four major accounting firms in South Korea. Multiple regression models were applied step by step for analysis. In this study, the informal learning of professionals working at four major accounting firms is influenced by various factors of learning motivation, job characteristics, and a supportive learning environment. The detailed analysis results were as follows. Firstly, peer-support showed the most positive effect on task-related knowledge acquisition. Secondly, for adapting to organization and understanding contexts, task autonomy showed the greatest effect. Thirdly, peer-support was found to be the most important factor for relationship formation. Fourthly, for improving self-development ability, learning goal orientation showed to be the most important factor. The various factors facilitated the professional learning by empirical identification. The study presented practical implications for creating an effective informal learning support environment.

• Korean Journal of Human Ecology
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• v.21 no.3
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• pp.407-421
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• 2012

The purpose of this study is to plan out a university students' self-development program and to verify the effect of the students in adapting themselves to college life and coping with stress from it. The program was developed as the liberal arts course for a semester and comprised 12 sessions. Each secession of a 150 minutes workshop program. The pre-test, post test regarding students adaptation to college and stress coping methods conducts upon each experimental group and each control group. Each group consisted of 50 subjects. As a result of this research, this study could come to the following conclusions. Firstly, it was found that the university students' self-development program has effect on improving students adaptation to college. Secondly, it was found that the university students' self-development program has effect on improving stress coping methods.

• Proceedings of the KSR Conference
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• 2001.05a
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• pp.30-35
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• 2001

THSRC uses the self-certification system for its high-speed rail construction. The self-certification system takes advantages of obtaining good qualify in project and communicating well between contractors and QA/QC organization. But one should understand ISO 9000s and the self-certification system of contractors in advance and contractors try to control Quality of construction spontaneously. Actually, construction progress is slowed down because of increased QA/QC works. For adapting this system in domestic construction, it is need to understand ISO 9000s and the self-certification system.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.279-281
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• 2006

In this paper, we study an approach to design a self-tuning Fuzzy-PI controller in HVDC(High Voltage Direct Current) system. In the rectifier of conversional HVDC system, turning on, turning off, triggering and protections of thyristors have lots of problems that can make the dynamic instability and cannot damp the dynamic disturbance efficiently. The above problems are solved by adapting Fuzzy-PI controller for the fire angle control of rectifier.[7] The performance of the Fuzzy-PI controller is sensitive to the variety of scaling factors. The design procedure dwells on the use of evolutionary computing(Genetic Algorithms, GAs). Then we can obtain the optimal scaling factors of the Fuzzy-PI controller by Genetic Algorithms. In order to improve Fuzzy-PI controller, we adopt FIS to tune the scaling factors of the Fuzzy-PI controller on line. A comparative study has been performed between Fuzzy-PI and self-tuning Fuzzy-PI controller, to prove the superiority of the proposed scheme.