• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.246-246
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• 2023

Multi-purpose dams are operated accounting for both physical and socioeconomic factors. This study aims to evaluate the utility of a deep learning algorithm-based model for three multi-purpose dam operation (Seomjin River dam, Juam dam, and Juam Control dam) in Seomjin River. In this study, the Gated Recurrent Unit (GRU) algorithm is applied to predict hourly water level of the dam reservoirs over 2002-2021. The hyper-parameters are optimized by the Bayesian optimization algorithm to enhance the prediction skill of the GRU model. The GRU models are set by the following cases: single dam input - single dam output (S-S), multi-dam input - single dam output (M-S), and multi-dam input - multi-dam output (M-M). Results show that the S-S cases with the local dam information have the highest accuracy above 0.8 of NSE. Results from the M-S and M-M model cases confirm that upstream dam information can bring important information for downstream dam operation prediction. The S-S models are simulated with altered outflows (-40% to +40%) to generate the simulated water level of the dam reservoir as alternative dam operational scenarios. The alternative S-S model simulations show physically inconsistent results, indicating that our deep learning algorithm-based model is not explainable for multi-purpose dam operation patterns. To better understand this limitation, we further analyze the relationship between observed water level and outflow of each dam. Results show that complexity in outflow-water level relationship causes the limited predictability of the GRU algorithm-based model. This study highlights the importance of socioeconomic factors from hidden multi-purpose dam operation processes on not only physical processes-based modeling but also aritificial intelligence modeling.

• Journal of The Korean Association For Science Education
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• v.29 no.4
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• pp.414-422
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• 2009

In this study, we investigated the influences of students' motivational characteristics on the processes of learning density concept using a discrepant event. The participants were 642 seventh graders from two middle schools. Tests of failure tolerance, self-efficacy and mastery/performance goal orientation were administered as pretests. A preconception test was also administered. The intervention was the students' individual study of the density concept with a worksheet that was designed to incorporate the major steps of conceptual change learning. The tests of attention, effort and conceptual understanding were administered as post-tests. The responses of 203 students who had been found to possess the target misconception were analyzed. The results of a path analysis revealed that students' motivational characteristics variables did not influence cognitive conflict. Failure tolerance and mastery goal orientation, however, influenced conceptual understanding via situational interest, attention and effort. Self-efficacy influenced conceptual understanding via effort. Performance goal orientation negatively influenced conceptual understanding via attention and effort. Cognitive conflict influenced conceptual understanding directly as well as indirectly via situational interest.

• Sleep Medicine and Psychophysiology
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• v.3 no.1
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• pp.15-24
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• 1996

After rapid eye movement(REM) sleep was idenified in 1953, a lively interest developed concerning a possible role of this kind of sleep in memory processes. The author reviewed studies relating REM to memory/learning. Many studies in animals and humans gave substantial evidence for relating REM sleep to memory function. The evidence supporting the position taken in this paper comes from experiments showing that : (1) learning session is followed by the significant augmentation of REM sleep : (2) REM sleep deprivation, prior to learning or immediately thereafter, impairs the formation of a permanent memory/learning : (3) there is a vulnerable period of time(eg, REM sleep "window") following succussful learning, during which REM sleep deprivation results in memory impairment : (4) theta rhythm which develops during REM sleep induces long-term potentiation in hippocampus : (5) there are some evidences providing the relationship of neurotransmitter systems to the maintenance of REM sleep and memory storage processes.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.209-238
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• 2023

This study aims to propose the main learning contents, functions and activation plans for building an e-learning platform for libraries through a literature review, case analysis and expert survey. Through the literature review, it was found that libraries must play a role in providing high-quality online education for users in the e-learning ecosystem. Based on the previous studies, a learning function analysis tool was developed for the analysis of the library's e-learning platform. Based on this, the learning contents, learning functions and characteristics of library e-learning platforms were analyzed, and expert surveys and interviews were conducted. As a results, the construction of a platform for effectively applying learning processes and technology is essential for the library's sustainable e-learning services. The contents that should be provided for characteristics of library education, reading guidance, information literacy instruction, library usage instruction, and the latest IT technologies. And The main learning functions include the ability to conduct video lectures and real-time classes among learning types, and learning activity support functions, a cloud platform support function and a personalized environment support function. Additionally, suggested re-education for library staff to improve their technical skills and the formation of an e-learning team.

• Journal of The Korean Association For Science Education
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• v.31 no.4
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• pp.528-538
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• 2011

In this study, we investigated the thinking processes of 7th grade science-gifted students in designing application experiments and analyzed their performance levels in the categorized processes. The analyses of the results revealed that they considered 'setting a problem situation,' 'deciding a strategy,' 'identifying the assumptions,' 'defining the measurements,' and 'validating the assumptions' in the processes of designing experiments. However, their performance levels of the categorized processes were found to be rather low. It was especially insufficient in setting the situations concretely appropriated to solve the problems and checking their own thinking critically by proper criteria. Therefore, we suggested a potential learning strategy for designing experiments such as replacing difficult and abstract situations to concrete and familiar situations. These results may offer some implications in developing an education program for science-gifted students to foster creativity by emphasizing scientific thinking skills such as experiment design ability.

• Journal of The Korean Association of Information Education
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• v.6 no.1
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• pp.53-63
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• 2002

The purpose of this thesis is to design and implement an efficient Web- based Project Learning System(WPLS) in particular for the interactive of an elementary school children. The WPLS in this paper has four main parts ; user interface, learner module, administrator module and database. This system was implemented in accordance with the project themes solving learning processes. So the learner module consists of five steps ; project theme proposal, project plan, project execution, web-publishing, and project test. WPLS can improve student`s ICT using ability and academic achievement.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.11-30
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• 2008

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit-based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure 'where we are now' and 'where to aim for next'. It prescribes a plan for translating 'vision' and 'strategy' into concrete action across four perspectives at different stages, depending on the business. These perspectives are 'financial', 'customer', 'internal processes' and 'learning and growth', each of which is connected by cause-and-effect relationships that reflect the firm's strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders' financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, sup plier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

• Journal of KIISE
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• v.42 no.11
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• pp.1452-1458
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• 2015

Korean Morphological Analysis is a difficult process. Because Korean is an agglutinative language, one of the most important processes in Morphological Analysis is Morpheme Recovery. There are some methods using Heuristic rules and Pre-Analyzed Partial Words that were examined for this process. These methods have performance limits as a result of not using contextual information. In this study, we built a Korean morpheme recovery system using deep learning, and this system used word embedding for the utilization of contextual information. In '들/VV' and '듣/VV' morpheme recovery, the system showed 97.97% accuracy, a better performance than with SVM(Support Vector Machine) which showed 96.22% accuracy.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.1
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• pp.44-51
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• 2016

Recently, artificial intelligence has reached the level of top information technologies that will have significant influence over many aspects of our future lifestyles. In particular, in the fields of machine learning technologies for classification and decision-making, there have been a lot of research efforts for solving estimation and control problems that appear in the various kinds of portfolio management problems via data-driven approaches. Note that these modern data-driven approaches, which try to find solutions to the problems based on relevant empirical data rather than mathematical analyses, are useful particularly in practical application domains. In this paper, we consider some applications of modern data-driven machine learning methods for portfolio management problems. More precisely, we apply a simplified version of the sparse Gaussian process (GP) classification method for classifying users' sensitivity with respect to financial risk, and then present two portfolio management issues in which the GP application results can be useful. Experimental results show that the GP applications work well in handling simulated data sets.

• Journal of Engineering Education Research
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• v.8 no.1
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• pp.99-112
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• 2005

Problem-Based Learning is focused, experiential learning organized around the investigation and resolution of messy, real-world problem. It is both a curriculum organizer and instructional strategy, two complementary processes. The PBL model developed in this study was composed the two components of Problem Design(curriculum organizer) and Problem Implementation(instructional strategy). The basic process of Problem Implementation Model were composed the 8 steps ; 1) the identification of problem, 2) the specification of problem, 3) the exploration and generation for solution, 4) the selecting of best idea, 5) the specific planning of best idea, 6) the implementation and realization, 7) the evaluation, 8) the applying and reflection.