• Journal of Korea Water Resources Association
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• v.53 no.6
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• pp.395-408
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• 2020

This paper aims to develop and apply three different machine learning approaches (i.e., artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and wavelet-based neural networks (WNN)) combined with an evolutionary optimization algorithm and the k-fold cross validation for multi-step (days) streamflow forecasting at the catchment located in Algeria, North Africa. The ANN and ANFIS models yielded similar performances, based on four different statistical indices (i.e., root mean squared error (RMSE), Nash-Sutcliffe efficiency (NSE), correlation coefficient (R), and peak flow criteria (PFC)) for training and testing phases. The values of RMSE and PFC for the WNN model (e.g., RMSE = 8.590 ㎥/sec, PFC = 0.252 for (t+1) day, testing phase) were lower than those of ANN (e.g., RMSE = 19.120 ㎥/sec, PFC = 0.446 for (t+1) day, testing phase) and ANFIS (e.g., RMSE = 18.520 ㎥/sec, PFC = 0.444 for (t+1) day, testing phase) models, while the values of NSE and R for WNN model were higher than those of ANNs and ANFIS models. Therefore, the new approach can be a robust tool for multi-step (days) streamflow forecasting in the Seybous River, Algeria.

• Journal of The Korean Association of Information Education
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• v.12 no.4
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• pp.437-448
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• 2008

As the importance of knowledge is emphasized and the environment of battlefields is changing, the military also demands competent people equipped with creativity, cooperativeness and communication ability, and in this situation it is required to apply PBL to education in the navy. The present study went through three stages in order to develop a prototype to implement a naval e PBL support system for knowledge creation. First, databases in Korea Education and Research Information Service, National Assembly Library, etc. were searched using keywords such as PBL, e-PBL, knowledge creation and knowledge ecosystem. In addition, we selected and analyzed frequently quoted literature and recent research reports related to this study among domestic and foreign theses, books, research papers, etc. recommended by specialists in contents, and derived the key values of a knowledge creation type e-PBL support system and design strategies. Second, we developed a primary prototype based on the contents of analysis and, revising it according to teaching design specialists' opinions, we proposed the final prototype of knowledge creation type naval e PBL support system and it has values as follows. First, the knowledge creation type naval e PBL support system provides learners with opportunities to apply e PBL and helps them improve their creativity, cooperativeness and communication ability and accumulate know how of services. Second, it improves work efficiency by circulating knowledge through sharing among individuals or groups, and produces synergy that promotes the organizational culture of learning. Third, the knowledge creation type naval e-PBL support system enables teachers who apply PBL to school education to find new applications of PBL in constructing knowledge bases.

• Journal of Nutrition and Health
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• v.29 no.1
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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.

• Korean Medical Education Review
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• v.19 no.1
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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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.227-230
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• 2009

This paper presents an architecture of various devices convergence for ubiquitous network. Integration of a variety of devices be can connect to every kind of device should not be constrained. We construct PLC to UPnP protocol architecture and UPnP Bridge Module for interconnecting Non-IP devices with heterogeneous network interfaces to UPnP devices on UPnP networks.

• Smart Structures and Systems
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• v.29 no.1
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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.

• Hwankyungkyoyuk
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• v.21 no.2
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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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• v.7 no.2
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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.

• Proceedings of the KIEE Conference
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• 1991.07a
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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.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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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.