• Journal of The Korean Association of Information Education
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• v.3 no.1
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• pp.33-43
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• 1999

Most educational Web contents developed so far can be regarded' as another type of printed textbooks since they are made up of static lists of textual information. It results in a lack of capability in such educational viewpoints as interaction between students and/or teachers, self-directed learning of individual students, and so on. This paper proposes a new style of Web contents, which can improve the self-directed learning capabilities as well as the interaction between students, with the topic of "the life cycle of frog" that the student studies in the third year of elementary school. It has been designed to provide BBS and a studying material appropriate to the achievement level of individual students, and implemented with DHTML and Java.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1722-1737
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• 2019

We developed an insider threat detection model to be used by organizations that repeat tasks at regular intervals. The model identifies the best combination of different feature selection algorithms, unsupervised learning algorithms, and standard scores. We derive a model specifically optimized for the organization by evaluating each combination in terms of accuracy, AUC (Area Under the Curve), and TPR (True Positive Rate). In order to validate this model, a four-year log was applied to the system handling sensitive information from public institutions. In the research target system, the user log was analyzed monthly based on the fact that the business process is processed at a cycle of one year, and the roles are determined for each person in charge. In order to classify the behavior of a user as abnormal, the standard scores of each organization were calculated and classified as abnormal when they exceeded certain thresholds. Using this method, we proposed an optimized model for the organization and verified it.

• Journal of Korea Foundry Society
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• v.41 no.6
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• pp.521-527
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• 2021

This study presents a process management method for the detection of casting defects during in high-pressure die casting based on machine learning. The model predicts the defects of the next cycle by extracting the features appearing over the previous cycles. For design of the gearbox, the proposed model detects shrinkage defects with data from three cycles in advance with 98.9% accuracy and 96.8% recall rates.

• The Journal of Korean Physical Therapy
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• v.32 no.5
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• pp.283-289
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• 2020

Objective: The purpose of this study was to determine the force of lower extremities, the change in walking ability on the ground by applying a walking training program based on perceptual learning to improve gait capacity of chronic stroke patients. Method: This study included Twenty-four patients with chronic stroke. Using a perceptual-based gait training, the experimental group trained twice a day for 30 minutes each time, 5 times a week, for a total of 8 weeks. The control group underwent ground gait training that excluded the element of a perceptual training for 30 minutes, 5 times a week for 8 weeks. Results: In the two groups, the maximum forefoot pressure after intervention was significantly different in both the LEPGT and GGT (p<0.05). The maximum midfoot pressure was significantly different in LEPGT (p<0.05). There was a significant difference in the maximum heel pressure after intervention between the two groups (p<0.05). As a result of comparing the change in step length and stride length after intervention in the two groups, there was a significant difference between the two groups (p<0.05). Conclusion: Both gait training programs was found that gait training based on perceptual learning and ground gait training were the training for improving the functional gait of stroke patient. Perceptual learning gait training utilizing intensive perceptual awareness was the training for improving gait capacity within the period than ground gait training.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• Journal of Korean Academy of Nursing
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• v.30 no.6
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• pp.1521-1530
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• 2000

This descriptive study identifies nursing students' methods of studying related to the learning stages, based on a sample of 251 nursing students in a Korean university. The main findings of the study are as follows. The major learning styles of nursing students were accomodation (68.6%), divergen (53.6%), and convergence (38.8%) for the first, second, third, and fourth year group. For all students, the majority (71.3%) showed accomodation or the divergence. The learning styles for grade level were significantly different, (x2=110.021, df=9, p=0.001). The stage of concrete experience was the majority for all of the first year group (51.8%), the second year group (57.1%), and the third year group (61.3%). But, active experimentation (41.9%) was the majority for the fourth year group. Also there were significant differences between the stages of learning by age (x22= 64.391, df=9, p=0.001). The most significant result of the study was the establishment of different modes of learning stages by year, thus supporting the experiential learning theory. The greatest change of style from the first year group to the second year group was reflective observation (7.3%longrightarrow12.9%). That from the second year group to the third year group was the abstractive conceptualization (14.3%longrightarrow21.3%); and that from the third year group to the fourth year group was active experimentation (12.0%longrightarrow41.9%). This reflects the same cycle as indicated by the experimental learning theory of Kolb. According to the study, nursing students' learning stages tended to be more unbalanced as year increases. Therefore this calls for a careful review of the current nursing curriculum.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.632-648
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• 2002

The purpose of this study was to investigate a process of change which was made by a science teacher for one-year long in-service education program in terms of constructivist teaching behaviors and beliefs. The in-service program was featured by the use of learning cycle model and Science-Technology-Society approach. One of science teachers, who attended an one-year long in-service program was selected for this study. She developed three teaching materials for the duration. The three teaching materials were analyzed to find components of Science-Technology-Society and the integration of science content and real life context. Also, an interview was performed to assess changes in her perspectives on science, science teaching and science learning through the program. The first material was constructed in the form of learning cycle with little emphasis on STS. The second material was embedded with personal matters such as a refrigerator. The final one was shown to be organized with science content in a personal context and with focus on the role play. The interview also showed that her perspectives on science and science teaching have changed toward the constructivist's during the participation in the in-service program. It is suggested that a long-term in-service program should be developed and implemented so that the science teachers may become constructivist teachers.

• The Journal of Korean Academic Society of Nursing Education
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• v.5 no.2
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• pp.165-176
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• 1999

The goal of women's health education can be defined as improvement of the quality of their life during entire life cycle. In Korean society, women's well-being is very important to themselves as well as their families, communities. and country. Thus it is important to systematize information on women's health education. These systematized information can be used in preparation of coming 21st century called information era. Unfortunately there have been few studies in women's health education research in Korea especially distance education for women's health related with korean socio-cultural background, etc. Distance education has been internationally used in a variety of settings as a means of providing health education information. The objective of this study was to apply and evaluate a multimedia videoconferencing on women's health distance teaching-learning process. In this study I'd like to design multimedia digital educational material used in the distance teaching-learning process for women's health, and to practice a multimedia videoconferencing on women's health distance teaching-learning processs. The procedures of this study were summarized as follows ; 1. Analysis of subjects' characteristics and education contents and for women's health. 2. Design of a multimedia videoconferencing on women's health distance teaching-learning process. 3. Development of women's health distance teaching-1earning process. 4. Evaluation of developed digital multimedia and distance teaching-learning process related with women's health These results will be used in development of the distance-learning education program for improving Korean women's health. Findings su99est that the advanced methodologies for designing and evaluating the women's health distance teaching-learning programs be obtained through the collaboration with other field's staffs.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.101-112
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• 2019

This study aims to draw implications on a life-cycle system of digital contents through a case study about EDUNET in order to maintain the quality and efficiency of the service for educational digital contents in the primary and secondary education area. To achieve the objective, lead teachers in EDUNET service participated in requirements analysis about the life-cycle of the digital contents, for example, contents utilization periods, the periods for being updated, etc. From the results, it was found that a systematic life-cycle framework should be established to re-evaluate the contents in service and provide a quality of contents, responding to consistent changes for educational environments in teaching-learning and for educational topics/directions, or according to educational content's substance such as curriculum or extra-curriculum. This study contributes to suggesting needs to implement the systematic management of contents based on a life-cycle system by analyzing user's requirements in order to provide user-friendly service for the K-12 educational digital contents.

• Journal of Korea Multimedia Society
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• v.23 no.7
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• pp.850-861
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• 2020

Hangul is a language that is composed of initial, medial, and final syllables. It has 11,172 characters. For this reason, the current method of designing all the characters by hand is very expensive and time-consuming. In order to solve the problem, this paper proposes an automatic Hangul font generation system and evaluates the standards for mapping Hangul characters to produce an effective automated Hangul font generation system. The system was implemented using character generation engine based on deep learning CycleGAN. In order to evaluate the criteria when mapping characters in pairs, each criterion was designed based on Hangul structure and character shape, and the quality of the generated characters was evaluated. As a result of the evaluation, the standards designed based on the Hangul structure did not affect the quality of the automated Hangul font generation system. On the other hand, when tried with similar characters, the standards made based on the shape of Hangul characters produced better quality characters than when tried with less similar characters. As a result, it is better to generate automated Hangul font by designing a learning method based on mapping characters in pairs that have similar character shapes.