• Proceedings of the Korean Operations and Management Science Society Conference
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• 1992.04b
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• pp.3-9
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• 1992

참가자가 두명인 쌍행렬게임에서 각 참가자의 전략선택에 따른 이득행렬이 부정확한 상황일 경우를 고려하였다. 이러한 퍼지쌍행렬게임의 해를 구하는 방법으로 퍼지숫자간의 순위관계의 결과인 대소관계를 적용하여 선형상보문제화하는 과정을 제시하였다.

• The Magazine for Energy Service Companies
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• s.67
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• pp.20-23
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• 2010

에너지 분야 전문인력 양성은 중 장기적으로는 기존의 정규교육 과정을 확장, 개선 운영하여 달성할 수가 있다. 그러나 급변하는 에너지 환경 속에서는 기존 인력을 활용한 단기적 대처가 시급한 바, 이들에 대한 재교육 프로그램 운영이 절실히 요구된다. 이러한 목적을 달성하기 위해서는 신프레임의 전면적인 도입과 인력양성 프로그램의 재설계 및 사업관리 시스템의 개선이 시급한 상황이다. 에너지 산업을 발전시키는 원동력이 될 전문인력 양성 방안을 짚어본다.

• Communications of Mathematical Education
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• v.20 no.3 s.27
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• pp.483-502
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• 2006

In this research, we try to accomplish the main purpose of managing the special supplementary curriculum and set a model for its organization and management to the other schools by analyzing the result from the management of the special supplementary curriculum through mentoring lessons that are proposed in the 7th curriculum to provide the underachieved students with opportunities to study the subjects they couldn't understand during the regular curriculum.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.756-757
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• 2007

본 논문에서는 지속적인 대형고장 재발에 따른 근원적 고장예방대책으로 실질적인 위기대응훈련과 변전분야 근무 직원의 역량강화를 위해 변전분야 교육과정을 현장실습 및 사례위주 실무중심토론식 수업으로 개편하는 방안에 대하여 연구하였다. 그리고 실설비와 연계된 모의고장 시뮬레이터 실습교육장을 구축하고, 변전설비 축소형 모듈을 제작하여 주요 변전설비를 실제로 조립하면서 설비에 대한 이해를 고취시키고자 한다. 교육내용과 목표가 중복되는 유사교육과정을 통폐합하여 변전교육의 효율화를 도모한다. 또한, EMTP 전문반과 같은 특화된 전문기술교육과정을 개설을 추진하며, 전문자격증 취득을 위한 과정을 개발하여 교육수요자의 요구사항이 반영되는 교육을 실현하고자 한다.

• Journal of Korea Game Society
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• v.10 no.6
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• pp.115-124
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• 2010

In the beginning brain waves were used for monkeys to control robot arm with neural activity. In recent years there are research that measured brain waves are used for the control of programs which monitor the progression of dementia or enhance of attention in children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). Moreover, low-price devices that can be used as a game control interface have become available. One of the problems associated with control using brain waves is that the mean amplitude, mean wavelength, and mean vibrational frequency of the brain waves differ from individual to individual. This paper attempts to propose a method to normalize measured brain waves using normal distribution and calculate the waveforms that can be used in controlling games. For this, a framework in which brain waves are converted in seven stages has been suggested. In addition, the estimation process in each stage has been described. In an experiment the waveforms of two subjects have been compared using the proposed method in the BCI English word learning program. The level of similarity between two subjects' waveforms has been compared with correlation coefficient. When the proposed method was applied, both meditation and concentration increased by 13% and 8%, respectively. Because the proposed regularization method is converted into a waveform fit for control functions by reducing personal characteristics reflected in the brain waves, it is fitting for application programs such as games.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.25-34
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• 2006

Although the e-learning system is being introduced in elementary and secondary education, incorporating it into the regular curriculum is difficult. Other problems include the lack of sessions and connection to regular courses in realistically applying project-based learning in the regular school curriculum. Therefore. this study established, applied, and analyzed the blended learning strategy to resolve such issues. Specifically, a theoretical investigation on the concept of blended learning and IT-oriented, project-based learning was conducted. The theme for learning based on integrated courses was also selected, and the 5-stage project-based teaching and learning strategy, concretized. The concretization strategy involved discussion, role division, and alternative evaluation strategy. The class progressed in formats of on-class online, on-class offline and off-class online. As a result, students experienced inconvenience since the project only lasted for a short period of time. Nonetheless, they responded positively to the effect of project-based learning in general. This study was able to suggest the possibility of applying e learning in regular school curriculum and propose the direction for digital and learner oriented teaching.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.20 no.3
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• pp.247-254
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• 2008

The double-peak normal distribution function (DPDF) suggested by Cho et al.(2004) has the problems that the extremely high and low tidal elevations are frequently generated in the Monte-Carlo simulation processes because the upper and lower limits of the DPDF are unbounded in spite of the excellent goodness-offit results. In this study, the modified DPDF is suggested by introducing the upper and lower value parameters and re-scale parameters in order to remove these problems. These new parameters of the DPDF are optimally estimated by the non-linear optimization problem solver using the Levenberg-Marquardt scheme. This modified DPDF can remove completely the unrealistically generated tidal levations and give a slightly better fit than the existing DRDF. Based on the DPDF's characteristic power, the over- and under estimation problems of the design factors are also automatically intercepted, too.

• Journal of Korea Multimedia Society
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• v.6 no.1
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• pp.136-147
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• 2003

To achieve an optimal performance for a given problem, we need an integrative process of the parameter optimization via learning and the structure optimization via model selection. In this paper, we propose an efficient optimization method for improving generalization performance by considering the property of each sub-method and by combining them with common theoretical properties. First, weight parameters are optimized by natural gradient teaming with adaptive regularization, which uses a diverse error function. Second, the network structure is optimized by eliminating unnecessary parameters with natural pruning. Through iterating these processes, candidate models are constructed and evaluated based on the Bayesian Information Criterion so that an optimal one is finally selected. Through computational experiments on benchmark problems, we confirm the weight parameter and structure optimization performance of the proposed method.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.4
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• pp.6-13
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• 2011

Due to its robustness to illumination change, normalized cross-correlation based similarity measurement is widely used in many machine vision applications. However, its inefficient computation structure is not adequate for real-time embedded vision system. In this paper, we present an efficient hardware architecture based on a normalized cross correlation (NCC) for fast image similarity measure. The proposed architecture simplifies window-sum process of the NCC using the integral-image. Relieving the overhead to constructing integral image, we make it possible to process integral image construction at the same time that pixel sequences are inputted. Also the proposed segmented integral image method can reduce the buffer size for storing integral image data.

• Journal of the Korean Society for Nondestructive Testing
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• v.15 no.1
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• pp.299-309
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• 1995

A geometrical inverse heat conduction problem is solved for the development of Infrared Computerized-Axial-Tomography (IR CAT) Scan by using a boundary element method in conjunction with regularization procedure. In this problem, an overspecified temperature condition by infrared scanning is provided on the surface, and is used together with other conditions to solve the position of an unknown boundary (cavity). An auxiliary problem is introduced in the solution of this problem. By defining a hypothetical inner boundary for the auxiliary problem domain, the cavity is located interior to the domain and its position is determined by solving a potential problem. Boundary element method with regularization procedure is used to solve this problem, and the effects of regularization on the inverse solution method are investigated by means of numerical analysis.