• Journal of Korea Water Resources Association
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• v.54 no.8
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• pp.553-566
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• 2021

River confluence is often characterized by shear layer and the associated strong mixing. In natural rivers, the main channel and its tributary can be separated by the shear layer using contrasting colors. The shear layer can be easily observed using aerial images from satellite or unmanned aerial vehicles. This study proposes a low-cost identification method extracting geographic features of the shear layer using RGB aerial image. The method consists of three stages. At first, in order to identify the shear layer, it performs image segmentation using a Gaussian mixture model and extracts the water bodies of the main channel and tributary. Next, the self-organizing map simplifies the flow line of the water bodies into the 1-dimensional curve grid. After that, the curvilinear coordinate transformation is performed using the water body pixels and the curve grid. As a result, the shear layer identification method was successfully applied to the confluence between Nakdong River and Nam River to extract geometric shear layer features (confluence angle, upstream- and downstream- channel widths, shear layer length, maximum shear layer thickness).

• Journal of Gifted/Talented Education
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• v.26 no.2
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• pp.365-387
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• 2016

This study examined the effects of students'perceptions of classroom on self-regulatory strategy use, persistent intention, and achievement in an online Science gifted program. The sample included 434 middle and high school students who participated in the 3-months online gifted program. Participants volunteerly surveyed on their perceptions of classroom (appeal, challenge, choice, meaningfulness, academic self-efficacy), self-regulatory strategy use, and persistent intention. Student achievement data was collected from online learning system. Multiple Regression was conducted to analyze the effect of students'perceptions of classroom on various dependent variables. The results of this study showed that (1) students use of rehearsal strategy was positively related to academic self-efficacy among the sub-variables of students'perceptions of classroom and the use of rehearsal strategy was negatively related to challenge; (2) the use of elaboration strategy was positively related to challenge and meaningfulness; (3) the use of time management strategy was positively related to academic self-efficacy and the use of resource management strategy was positively related to challenge; and (4) students' persistent intention was related to appeal, challenge and meaningfulness, achievement was related to challenge.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1366-1377
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• 2020

The purpose of this study was to confirm the effect of the Havruta-based teaching and learning method on the academic self-efficacy, critical thinking tendency, learning satisfaction, and academic stress of nursing students. This study was conducted with 90 2nd graders of nursing department with one-group pretest-posttest design. The Havruta-based instructional design consists of five stages: the 1 stage is the pre-learning stage, the 2 stage is the introduction and development stage, the 3 stage is the organization of the class content, the 4 stage is the question and teaching stage, and the 5 stage is organized and integrated. Four weeks of Havruta-based teaching and learning method was applied. The data were analyzed by SPSS 25.0. The general characteristics of the subjects were frequency and percentage, and The dependent variable for measuring the effect of experimental treatment was analyzed by paired t-test. As a result of the study, the application of the Havruta-based teaching and learning method showed statistically significant results on academic self-efficacy(t=-3.711, p<.000), learning satisfaction(t=-2.580, p=.012), and academic stress(t=6.500, p<.000). The Havruta-based teaching and learning method has been confirmed to be an effective teaching method that increases the subject's academic self-efficacy, learning satisfaction, and lowers academic stress, so it can be applied to other major subjects in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.1
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• pp.27-33
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• 2012

The purpose of this research is to investigate the effects of Lubric Learning Strategy Program, to solve problems of the Middle School Students' learning, on learning motivation, self-efficacy and self-regulation. The objects of this investigation was 60 students sampled from the first, second and third year students of Y Middle school in Seoul, which was divided equally -30 students each- into experimental group and control group. The progress covered 10 weeks period, a hour and half every week on Tuesdays and Thursdays. The conclusion derived from the results and discussion is as follows: First, the learning motivation of experimental group participated in the Lubric Learning Strategy Program to solve learning problems has changed quite meaningfully compared to the control group. It showed positive changes in all suborn ate variables such as class motivation, continuing motivation, intrinsic motivation, and extrinsic motivation. Second, the self-efficacy of experimental group participated in the Lubric Learning Strategy Program to solve learning problems has changed quite meaningfully compared to the control group. These results showed positive changes in subordinate variables such as preference level to subjects and self-control efficacy, though did not show notable changes in confidence area. However as confidence area doesn't really matter in total score, Lubric Learning Strategy Program is considered to have good influence in self-efficacy. Third, the self-regulation of experimental group participated in the Lubric Learning Strategy Program to solve learning problems has changed quite meaningfully compared to the control group. It showed positive changes in all subordinate variables such as self-control mode and inhibitory will mode. Fourth, the use on learning strategy of experimental group participated in the Lubric Learning Strategy Program to solve learning problems has changed quite meaningfully compared to the control group. These results showed positive changes in subordinate variables such as rehearsal, elaboration, organization and inspection, though did not show notable changes in schedule and control area. However, as the total score of use on learning strategy has changed prominently, Lubric Learning Strategy Program is considered to have good influence in use of learning strategy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.83-89
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• 2016

The group formation problem of the machine and part is a critical issue in the planning stage of cellular manufacturing systems. The machine-part grouping with alternative process plans means to form machine-part groupings in which a part may be processed not only by a specific process but by many alternative processes. For this problem, this study presents an algorithm based on self organizing neural networks, so called SOM (Self Organizing feature Map). The SOM, a special type of neural networks is an intelligent tool for grouping machines and parts in group formation problem of the machine and part. SOM can learn from complex, multi-dimensional data and transform them into visually decipherable clusters. In the proposed algorithm, output layer in SOM network had been set as one-dimensional structure and the number of output node has been set sufficiently large in order to spread out the input vectors in the order of similarity. In the first stage of the proposed algorithm, SOM has been applied twice to form an initial machine-process group. In the second stage, grouping efficacy is considered to transform the initial machine-process group into a final machine-process group and a final machine-part group. The proposed algorithm was tested on well-known machine-part grouping problems with alternative process plans. The results of this computational study demonstrate the superiority of the proposed algorithm. The proposed algorithm can be easily applied to the group formation problem compared to other meta-heuristic based algorithms. In addition, it can be used to solve large-scale group formation problems.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.93-102
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• 2005

This paper proposes an approach to verify signature using autonomous self-organized Neural Network Model , fused with fuzzy membership equation of fuzzy c-means algorithm, based on the features of the signature. To overcome limitations of the functional approach and Parametric approach among the conventional on-line signature recognition approaches, this Paper presents novel autonomous signature classification approach based on clustering features. Thirty-six globa1 features and twelve local features were defined, so that a signature verifying system with FE-SONN that learns them was implemented. It was experimented for total 713 signatures that are composed of 155 original signatures and 180 forged signatures yet 378 original signatures written by oneself. The success rate of this test is more than 97.67$\%$ But, a few forged signatures that could not be detected by human eyes could not be done by the system either.

• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.273-283
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• 2010

Emergent process or behaviour can be seen in many places, from any multicellular biological organism to traffic patterns, cities or organizational phenomena in computer simulations. Similarly, the concept of 'Green IT' refers to the way complex systems and patterns arise inevitably among groups due to environmental concerns in real world. Green IT has good possibility to evolve as very chaotic system, in which the number of interactions between components increases geometrically with the number of components, thus potentially allowing for many new types of behaviour to emerge. However, when Green IT system regards as a complexity one, there exits some attractors to derive and control the system. In this context, this paper presents a new model based on type-2 fuzzy logic system to identify and assess the attractors of Green IT system which correspond to Reach-Richness matrix of Green IT.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.436-443
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• 2014

This study was begun on the premise that architecture which has the definite disposition for survival even in the urban, social structure of that uncertainty and constructs specialty is biomorphic architecture. This study was organic philosophy background analysis of Biomorphic architecture occurrence, through meaning inherent analysis in Biomorphic architecture, which going to be deployed atypical and new shape one. Biomorphic architecture is organism shape of structure of autonomous survival, which is shaped the potential of biological phenomena. Theoretical analysis of the Biomorhpic architecture characteristic was analysed. Factor in the occurrence of Biomorphic architecture based on an objective analysis of the research is characteristic analysis. Which is reason as the 'create', the science of complexity and emergent System. The generation causes of biomorphic architecture are an organic philosophy. Biomorphic architecture makes the realization of simile form using the procedural principle represented by in natural phenomena.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.57-72
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• 2018

Choi Dong-hoon's films tend to have not been well treated academically in Korea. But from the point of view that his works have succeeded in box office and survived in the market for some reason, there seems to be new possibilities to treat them. In this paper, the two movies with ten million audiences, and that are Choi's original scenario and caper film genre are tried to examine the success factors in box office on "making well made story". Often, well-made films have both genre-customary and creative aspects. Choi Dong-hoon's movies are the same. and faithfully follow the rules of caper film genre. At the same time, these two films have complex adaptive systematic creativity, in which multiple characters are self-organizing with their story patterns actively. And since there is a proper coexistence of customary and original aspects in the and , these two films are seemed to be at the edge of the chaos, which is the most market adaptable.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.197-206
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• 2011

The purpose of the study was to suggest automatic recognition of the subject's level of arousal into high arousal and low arousal with neural network SOM learning. The automatic recognition in the level of arousal is composed of three stages. First, it is a stage of ECG measurement and analysis. It measures the subject playing a shooting game with ECG and extracts characteristics for SOM learning. Second, it is a stage of SOM learning. It learns input vectors extracting characteristics. Finally, it is a stage of arousal recognition which recognize the subject's level of arousal when new vectors are input after SOM learning is completed. The study expresses recognition results in the level of arousal and the level of arousal in numerical value and graph when SOM learning results in the level of arousal and new vectors are input. Finally, SOM evaluation was analyzed average 86% by comparing emotion evaluation results of the existing research with automatic recognition results of SOM in order. The study could experience automatic recognition with other levels of arousal by each subject with SOM.