• 한국수자원학회논문집
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• 제53권6호
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• pp.395-408
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• 2020

본 연구논문은 북부아프리카의 알제리에 위치한 하천유역에서 다중선행일 유출량의 예측을 위하여 진화적 최적화기법과 k-fold 교차검증을 결합한 세 개의 서로 다른 기계학습 접근법 (인공신경망, 적응 뉴로퍼지 시스템, 그리고 웨이블릿 기반 신경망)을 개발하고 적용하는 것이다. 인공신경망과 적응 뉴로퍼지 시스템은 root mean squared error (RMSE), Nash-Sutcliffe efficiency (NSE), correlation coefficient (R), 그리고 peak flow criteria (PFC) 의 네 개의 통계지표를 기반으로 하여 모형의 훈련 및 테스팅 결과 유사한 모형수행결과를 나타내었다. 웨이블릿 기반 신경망모형은 하루선행일 테스팅의 결과 RMSE = 8.590 ㎥/sec 과 PFC = 0.252로 분석되어서 인공신경망의 RMSE = 19.120 ㎥/sec, PFC = 0.446 과 적응 뉴로퍼지 시스템의 RMSE = 18.520 ㎥/sec, PFC = 0.444 보다 양호한 결과를 나타내었고, NSE와 R의 값도 웨이블릿 기반 신경망모형이 우수한 것으로 나타났다. 그러므로 웨이블릿 기반 신경망은 알제리 세이보스 하천에서 다중선행일의 예측을 위하여 효율적인 도구로 사용할 수 있다.

• 정보교육학회논문지
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• 제12권4호
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• pp.437-448
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• 2008

지식의 중요성이 강조되고, 전장환경이 변화함에 따라 군대에서도 창의력, 협동력, 의사소통 능력을 갖춘 인재상이 요구되고 있어 해군 교육에서도 PBL의 적용이 요구된다. 본 연구에서는 지식창출을 위한 해군 e-PBL 지원시스템을 구현하기 위한 프로토타입을 개발하기 위해 크게 3단계를 거친다. 첫째, PBL, e-PBL, 지식창출, 지식생태계 등을 키워드로 하여 한국교육학술정보원, 국회도서관, 등에서 검색하였다. 내용 전문가들로부터 본 연구와 직접적으로 관련 있는 국내 외 논문 및 단행본, 연구보고서 등을 추천받아 본 연구와 관련해서 인용도가 높은 문헌과 최근 연구를 수행한 문헌들을 중심으로 선정 분석하여 지식창출형 e-PBL지원시스템의 핵심가치와 설계전략을 도출하였다. 둘째, 분석 내용을 토대로 1차 프로토타입을 개발하여 교수설계 전문가들의 검토를 받아 수정함으로써 지식창출형 해군 e-PBL 지원시스템의 최종 프로토타입을 제안하였으며, 이는 다음과 같은 가치를 가진다. 첫째, 지식창출형 해군 e-PBL지원시스템은 학습자들에게 e-PBL을 적용할 기회를 제공함으로써, 창의력, 협동력, 의사소통 능력 향상과 업무 노하우를 축적 할 수 있다. 둘째, 개인간 또는 집단간 지식 공유를 통해 지식이 선순환됨으로써 업무능률을 향상시키고, 학습하는 조직문화를 조성하는 시너지 효과를 볼 것으로 기대한다. 셋째, 지식창출형 해군 e-PBL지원시스템은 해군 뿐만 아니라 학교교육에 PBL을 적용하고 있는 교수자들에게 지식 Base를 구축하는 PBL적용의 새로운 가치를 가지게 한다.

• Journal of Nutrition and Health
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• 제29권1호
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• pp.32-40
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• 1996

To investigate the effect of dietary docosahexaenoic acid(DHA) and environmental enrichment on brain fatty acid composition and acetylcholinesterase(AChE) activity, two groups of was fed isocaloric diets containing 10 or 12% dietary lipids for 7 weeks. A third group was fed 10% (w/w) dietary lipids with supplemented 2% DHA-rich fish oil. Each diet group was housed either in a stainless steel cage individually or in a large enriched cage with toys where 7 rats were kept together. The fatty acid composition of plasma and brain was significantly affected by dietary lipid composition but not by environmental enrichment. Fish oil supplementation significanlty decreased plasma levels of monounsaturated fatty acids(MUFA) and increased polyunsaturated fatty acids(PUFA). Fish oil supplemented groups also maintained lower plasma n-6 fatty acids and higher n-3 fatty acids levels than unsupplemented groups. The fish oil supplementation significantly decreased arachidonic acid and increased eicosapentaenic, docosapentaenoic acids, and DHA in brain fatty acid composition. In addition, brain DHA level in supplemented groups tended higher than the unsupplemented. Brain, AChE activity significantly increased by the environmental enrichment but not by the fish oil supplementation. These finding suggest that the 2% fish oil (0.57% DHA & 0.31% EPA, per diet weigth) supplementation is enough to accumulate n-3 fatty acids and to change the n-6 n-3 ratio in brain and environmental enrichment might promote the learning ability.

• 의학교육논단
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• 제19권1호
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• pp.10-17
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• 2017

Since the World Health Organization identified interprofessional education (IPE) as an important component in primary health care in the 1980s, medical and health sciences educators have continued to debate factors for implementing effective IPE in the classroom. Although IPE research is widespread internationally, few studies have been done in South Korea. This study explored the current status of IPE and examined factors that influence IPE in South Korea. A total of 30 (70%) out of 41 medical education experts in medical schools participated. Forty-seven percent of the participants reported that they allocated less than 5% of their time implementing IPE in the curriculum of their schools throughout the 4 years of medical school. Although all experts (100%) agreed that IPE is essential for medical students, they expressed practical difficulties in implementing IPE in the current education system. Factors that influence IPE are scheduling and curriculum (e.g., rigid curriculum vs. providing learning environment) and attitudes (e.g., lack of reciprocal respect vs. willingness to change). In addition, participants reported that communication skills and collaborative practice employing clinical practice or role-playing would be appropriate education methods and content for IPE in the future. The findings of this study provide a foundation for the implementation of IPE in South Korea. Future research directions for IPE in medical, nursing, and pharmacy schools are discussed.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.227-230
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• 2009

본 논문에서는 유비쿼터스 네트워크에서 요구되는 다양한 장치의 통합 연동의 방안을 제안한다. 다양한 장치의 연동은 최근에 사용되어지는 고성능의 멀티미디어장치 뿐만 아니라 기존의 가정에서 사용되고 있는 저성능의 단순 가전기기까지 모든 종류의 장치 연결에 제약이 없어야 한다. 이에 본문에서는 기존의 저성능 가전기기를 대상으로 표준 미들웨어를 활용하여 네트워크 프로토콜의 연동을 통해 효율적인 장치의 연결과 제어 관리의 제공을 목적으로 한다.

• Smart Structures and Systems
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• 제29권1호
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• pp.53-62
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• 2022

The deployment of advanced structural health monitoring (SHM) systems in large-scale civil structures collects large amounts of data. Note that these data may contain multiple types of anomalies (e.g., missing, minor, outlier, etc.) caused by harsh environment, sensor faults, transfer omission and other factors. These anomalies seriously affect the evaluation of structural performance. Therefore, the effective analysis and mining of SHM data is an extremely important task. Inspired by the deep learning paradigm, this study develops a novel generative adversarial network (GAN) and convolutional neural network (CNN)-based data anomaly detection approach for SHM. The framework of the proposed approach includes three modules : (a) A three-channel input is established based on fast Fourier transform (FFT) and Gramian angular field (GAF) method; (b) A GANomaly is introduced and trained to extract features from normal samples alone for class-imbalanced problems; (c) Based on the output of GANomaly, a CNN is employed to distinguish the types of anomalies. In addition, a dataset-oriented method (i.e., multistage sampling) is adopted to obtain the optimal sampling ratios between all different samples. The proposed approach is tested with acceleration data from an SHM system of a long-span bridge. The results show that the proposed approach has a higher accuracy in detecting the multi-pattern anomalies of SHM data.

• 한국환경교육학회지:환경교육
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• 제21권2호
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• pp.25-39
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• 2008

The purpose of the study was to develop cyber in-service training contents regarding environmental literacy for entry-level environmental public servants. The blended type of contents were developed, through literature review, contents analysis of other programs, and expert conferences. The validity of the contents developed was ensured experts in environment. Major research findings were as followings: First, there is a lack of time for entry-level environmental public servants to participate in the environmental in-service training programs. Therefore, cyber training can be a good solution to the problems with environmental training courses. It improves access to educational opportunities as it overcomes the limitations of time and space and provides hands-on experiences through multimedia materials that reflect the real world. Second, directions for developing cyber environmental education contents were represented in three parts; 1) strategies for developing cyber environmental education contents, 2) Models for developing cyber environmental education contents, 3) Contents selection for developing cyber environmental education contents Third, the developed contents for entry-level environmental officers consist of 4 domains: (1) the introduction to environment; (2) the natural scientific understanding of environment; (3) the humanistic understanding of environment; and (4) the social scientific understanding of environment. Fourth, the program developed was evaluated by 7 environmental education experts according to 10 evaluation items of total contents and contents development structure. In result, the validity of the program was ensured. Based on the results, some recommendations were suggested.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권2호
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• pp.96-101
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• 2007

Neural networks are known as kinds of intelligent strategies since they have learning capability. There are various their applications from intelligent control fields; however, their applications have limits from the point that the stability of the intelligent control systems is not usually guaranteed. In this paper we propose an adaptive tracking control for robot manipulators using the radial basis function network (RBFN) that is e. kind of neural networks. Adaptation laws for parameters of the RBFN are developed based on the Lyapunov stability theory to guarantee the stability of the overall control scheme. Filtered tracking errors between actual outputs and desired outputs are discussed in the sense of the uniformly ultimately boundedness(UUB). Additionally, it is also shown that parameters of the RBFN are bounded. Experimental results for a SCARA-type robot manipulator show that the proposed adaptive tracking controller is adaptable to the environment changes and is more robust than the conventional PID controller and the neuro-controller based on the multilayer perceptron.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.713-716
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• 1991

This paper describes a methodology of mobile robot navigation which is designed to carry heavy payloads at high speeds to be used in FMS(Flexible Manufacturing System) without human control. Intelligent control scheme using fuzzy logic is applied to the navigation control. It analyzes sensor readings from multi-sensor system, which is composed of ultrasonic sensors, infrared sensors and odometer, for environment learning, planning, landmark detecting and system control. And it is implemented on a physical robot, AGV(Autonomous Guided Vehicle) which is a two-wheeled, indoor robot. An on-board control software is composed of two subsystems, i.e., AGV control subsystem and Sensor control subsystem. The results show that the navigation of the AGV is robust and flexible, and a real-time control is possible.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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• pp.35-37
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• 2012

원격교육과 e-러닝의 차세대 형태로 모바일 교육에 대한 관심이 급증하고 있다. 이러한 모바일 교육은 스마트폰을 중심으로 전개되고 있으며 사이버 대학교뿐만 아니라 일반 오프라인 대학에서도 적극적인 움직임을 보이고 있다. 본 논문에서는 u-캠퍼스 환경기반에서의 모바일 교육 서비스 시스템을 설계하였다. 모바일 교육 서비스 시스템은 u-캠퍼스 환경기반에서 교육 수요자들인 학생들에게 시공간의 제약 및 디바이스에 제약이 없는 학습 환경 시스템을 제공하고 모바일 캠퍼스 플랫폼 기반의 m-러닝 시스템을 설계한 것이다.