• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.819-834
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• 2022

Artificial Intelligence (AI) techniques have been effectively used for image classification, object detection, and image segmentation. Along with the recent advancement of computing power, deep learning models can build deeper and thicker networks and achieve better performance by creating more appropriate feature maps based on effective activation functions and optimizer algorithms. This review paper examined technical and academic trends of Convolutional Neural Network (CNN) and Transformer models that are emerging techniques in remote sensing and suggested their utilization strategies and development directions. A timely supply of satellite images and real-time processing for deep learning to cope with disaster monitoring will be required for future work. In addition, a big data platform dedicated to satellite images should be developed and integrated with drone and Closed-circuit Television (CCTV) images.

• Korean Journal of Health Education and Promotion
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• v.19 no.1
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• pp.149-170
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• 2002

The use of health behavior theory in health counseling may improve its effectiveness. This article provides an overview of health behavior theory and guidelines on how to incorporate various theories into effective health counseling. Models that focus on behavior change at the individual level are described, including the health belief model, which focuses on individual health beliefs; social learning theory, which emphasizes interactions between individual, behavior and its environment; theory of reasoned action and theory of planned behavior, which examines factors influencing behavioral intention;. the stages of change model, which focuses on one's stage of readiness for change. Research review provides explanatory and predictive utility of four health behavior theories. Suggestions for effective health counselling are as follows: 1. Unified theoretical framework incorporating key concepts from different health behavior theories is needed. 2. Need assessment should be included in counselling process. 3. Behavior-change counselling should target changes in one or more key variables previously identified. 4. Focusing on promotional efforts into a high profile behavior(gateway behavior) can be an an adjunctive way of initiating other health promotion behaviors. 5. Counselling should be staged based, and different strategies and processes of changes should be applied at different stages.

• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.627-634
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• 2005

In this paper, we proposed software design and construction methods along with instructional design theories in computer education. This research support a unified view of construction for starting instructional design. Ideas of concept mapping have been included in plans for software design based on these theories. Instructional design strategies are developed to allow teachers to easily form instruction plans and get an overview of the flow of the lesson content. We also analyzed the validity of these instructional design strategies.

• Journal of Family Resource Management and Policy Review
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• v.18 no.2
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• pp.37-54
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• 2014

This study investigates fathers' demands for fathering education. Data from eight married, working men was collected through in-depth interviews. The interviews were intended to examine their father-role, working life, balance between work and family, and demand for the educational programs for fathers with particular regard to the themes, contents, and arrangement strategies they desire of the programs. The results show that fathers have a high demand for learning detailed methods of childrearing such as how to effectively sooth and play with their child(ren). Further, it was discovered that job flexibility is the major variable that determines a man's satisfaction with his parental role. Various information about possible arrangements of fathering education was collected from the interview data, such as desired themes, number of sessions, size of the educational program, volunteer role of participants, and focus of the course (e.g., many indicated interest in focusing on gender equality). This study reveals that greater detail, more effective contents, and efficient managerial strategies are required in fathering education in order to impart broader perspectives and knowledge about how to enhance the relationship between father and child(ren).

• Journal of the Korean earth science society
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• v.29 no.2
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• pp.151-162
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• 2008

This study quantitatively investigated the actual situations and perceptions of gifted students and their teachers during small group inquiry activities in Korea. Some 1,670 gifted math students and 1,732 gifted science students as well as 614 of their teachers were selected through random sampling to participate in this study. Data were collected by means of a survey developed by the researchers of this study, based on reviews of literature related to inquiry and small group cooperative learning. The results were as follows: (1) In Korean gifted education, small group inquiry activities were frequently used as teaching and learning strategies, and both the students and teachers perceived its effects to be very positive in terms of cognition and affection. (2) Gifted education teachers emphasized the development of students' procedural inquiry skills as well as logical thinking skills, whereas they were indifferent to the essential elements of small group cooperative learning and therefore the lessons did not surpass the level of traditional group activities. (3) The fact that the actual small group inquiry activities did not reflect the characteristics of well-organized small group activities is due to a lack of knowledge on the teacher's part as to effective teaching strategies concerning cooperative learning. This study implies that gifted education teachers require the opportunity to reflect on and develop their knowledge and understanding of small group inquiry activities through professionally developed programs in order to maximize the effectiveness of small group inquiry activities in gifted education.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.359-371
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• 2012

The coffee market has been rapidly growing up recently as well as the coffee industry which makes the number of educational institutions increasing in Korea. On the other hand, the classes lean too much on the practical exercise so the coffee education is urgently needed to define precisely and systematize academically. This study is accomplished on the basis of the teachers and students requirement analysis. The features that sets this study apart from the existing educational digital media is that the definite teaching-learning methods and teaching strategies were developed first. Furthermore, the physical and chemical phenomenon of coffee brewing were simulated by 3D animation software based on the visual languages. The general process of this media production was composed by the mutual relationship of the teacher's needs, educationist's strategies and media producer. After applying the digital media to students in the lesson of coffee science theory it was effective to increase their concentrativeness, interesting and learning motive. This media is also receiving the positive evaluation by the teachers to help the students in understanding the coffee science.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.221-232
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• 2019

This study aimed at finding out special education teachers' failure and success factors in teacher recruitment examinations. Total of 24 special education teachers participated in the semi-structured interview and 12 separate semantic themes were extracted via continuous comparative analysis on the interview contents. The findings were the following. First, the identified factors for the failures on the examinations were merely following what others do, failure-causing learning strategies, unconditional memorization, ineffective study groups, anxiety and lack of confidence, and lack self-management issue. Second, the identified factors for the success on the examinations were my style of study habits, success-causing learning strategies, balance of understanding and memorization, effective study groups, positivity, and strong self routine. The research proposes several practical applications to prepare the exam regarding this results.

• The Journal of Engineering Geology
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• v.34 no.1
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• pp.107-115
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• 2024

This study assesses forest fire susceptibility in Gangwon-do, South Korea, which hosts the largest forested area in the nation and constitutes ~21% of the country's forested land. With 81% of its terrain forested, Gangwon-do is particularly susceptible to wildfires, as evidenced by the fact that seven out of the ten most extensive wildfires in Korea have occurred in this region, with significant ecological and economic implications. Here, we analyze 480 historical wildfire occurrences in Gangwon-do between 2003 and 2019 using 17 predictor variables of wildfire occurrence. We utilized three machine learning algorithms—random forest, logistic regression, and support vector machine—to construct wildfire susceptibility prediction models and identify the best-performing model for Gangwon-do. Forest and soil map data were integrated as important indicators of wildfire susceptibility and enhanced the precision of the three models in identifying areas at high risk of wildfires. Of the three models examined, the random forest model showed the best predictive performance, with an area-under-the-curve value of 0.936. The findings of this study, especially the maps generated by the models, are expected to offer important guidance to local governments in formulating effective management and conservation strategies. These strategies aim to ensure the sustainable preservation of forest resources and to enhance the well-being of communities situated in areas adjacent to forests. Furthermore, the outcomes of this study are anticipated to contribute to the safeguarding of forest resources and biodiversity and to the development of comprehensive plans for forest resource protection, biodiversity conservation, and environmental management.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.417-420
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• 2002

Recent works in the area of multimedia studies focus on a wide range of issues from the impact of multimedia on culture to its impact on economics and anything in between. The interconnectedness of the issues raised by this new practice is complicated by the fact that media are rapidly converging: in a very real way, multimedia is becoming a media prism that reflects the way in which media continually influence each other across disciplines and cultural borders. Thus, the impact of multimedia reflects a complicated crossroads where media, human experience, culture and technology converge. An effective design is generally based on shaping aesthetics for function and utility, with an emphasis on ease of use. However, in designing for cyberspace, it is possible to create narratives that challenge the interactor by encoding in the design an instructional aspect that teaches new approaches and forms. Such a design offers an equally aesthetic experience for the interactor as they explore the meaning of the work. This design approach has been used constructively in many applications. The crucial concern is to determine how little or how much information must be presented for the interactor to achieve a suitable level of cognition. This is always a balancing act: too much difficulty will result in interactor frustration and the abandonment of the activity and too little will result in boredom leading to the same negative result In addition, it can be anticipated that the interactor will bring her or his own level of experiential cognition and/or accretion, to the experience providing reflective cognition and/or restructure the learning curve. If the design of the application is outside their present experience, interactors will begin with established knowledge in order to explore the new work. Thus, it may be argued that the interactor explores, learns and cognates simultaneously based on primary experiential cognition. Learning is one of the most important keys to establishing a comfort level in a new media work. Once interactors have learned a new convention, they apply this cognitive knowledge to other new media experiences they may have. Pierre Levy would describe this process as a "new nomadism" that creates "an invisible space of understanding, knowledge, and intellectual power, within which new qualities of being and new ways of fashioning a society will flourish and mutate" (Levy xxv 1997). Thus, navigation itself of offers the interactors the opportunity to both apply and loam new cognitive skills. This suggests that new media narrative strategies are still in the process of developing unique conventions and, as a result, have not reached a level of coherent grammar. This paper intends to explore the cognitive aspects of new media design and in particular, will explore issues related to the design of new media interfaces. The paper will focus on the creation of narrative strategies that engage interactors through loaming curves thus enhancing interactivity.vity.

• Geophysics and Geophysical Exploration
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• v.26 no.3
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• pp.114-125
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• 2023

The physics-informed neural network (PINN) has been proposed to overcome the limitations of various numerical methods used to solve partial differential equations (PDEs) and the drawbacks of purely data-driven machine learning. The PINN directly applies PDEs to the construction of the loss function, introducing physical constraints to machine learning training. This technique can also be applied to wave equation modeling. However, to solve the wave equation using the PINN, second-order differentiations with respect to input data must be performed during neural network training, and the resulting wavefields contain complex dynamical phenomena, requiring careful strategies. This tutorial elucidates the fundamental concepts of the PINN and discusses considerations for wave equation modeling using the PINN approach. These considerations include spatial coordinate normalization, the selection of activation functions, and strategies for incorporating physics loss. Our experimental results demonstrated that normalizing the spatial coordinates of the training data leads to a more accurate reflection of initial conditions in neural network training for wave equation modeling. Furthermore, the characteristics of various functions were compared to select an appropriate activation function for wavefield prediction using neural networks. These comparisons focused on their differentiation with respect to input data and their convergence properties. Finally, the results of two scenarios for incorporating physics loss into the loss function during neural network training were compared. Through numerical experiments, a curriculum-based learning strategy, applying physics loss after the initial training steps, was more effective than utilizing physics loss from the early training steps. In addition, the effectiveness of the PINN technique was confirmed by comparing these results with those of training without any use of physics loss.