• Journal of Oriental Neuropsychiatry
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• v.27 no.3
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• pp.131-146
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• 2016

Objectives: This study was performed to determine the correlation between Instrument on Pattern Identification for Depression and Psychological tests by Pearson Correlation Coefficient and Regression analysis.Methods: Two assessors carried out the evaluation using the instrument on pattern identification for depression. They also performed the following psychological tests: Beck Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), State-Trait Anger Expression Inventory (STAXI), the Temperament and Character Inventory (TCI), Insomnia Severity Index (ISI_Total), Self-disclosure Inventory, subjective well-being Inventory, Health perception Inventory, and Personality Assessment Inventory (PAI). A total of 167 participants who got HAM-D score over 12 were targeted for the evaluation. Our research team carried out Pearson correlation coefficient analyses and regression analysis between pattern identification for depression and Psychological tests. We listed the results by descending order and interpreted the results.Results: Pearson correlation analysis revealed the following results: 1) Stagnation of Liver Gi was associated with BDI (0.60) and STAI (0.55); 2) Dual Deficiency of the Heart and Spleen was associated with BDI (0.60), ISI_Total (0.52), and STAI (0.42); 3) Relieving stagnation of Phlegm-Gi was associated with BDI (0.65), STAI (0.54), and Subjective well-being inventory (−0.52); 4) Gi-deficiency Mingled with sputum was associated with BDI (0.50), ISI_Total (0.40), and STAI (0.395); 5) Stagnant Gi transforming into fire was associated with BDI (0.56), STAI_TR (0.51), and Health perception Inventory (−0.458); 6) Yin-Deficiency with Effulgent Fire was associated with BDI (0.55), ISI_total (0.54), and STAI (0.41).Conclusions: Through correlation analysis between Instrument on Pattern Identification for Depression and Psychological tests, we could suggest a System for Oriental Medical Diagnosis for Depression.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.55 no.4
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• pp.294-302
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• 2019

As a series of fundamental researches on the development of an automatic identification monitoring system for fishing gear. Firstly, the study on the installation method of automated identification buoy for the coastal improvement net fishing net with many loss problems on the west coast was carried out. Secondly, the study was conducted find out how to install an automatic identification buoy for coastal gill net which has the highest loss rate among the fisheries. GPS for fishing was used six times in the coastal waters around Seogwipo city in Jeju Island to determine the developmental status and underwater behavior to conduct a field survey. Next, a questionnaire was administered in parallel on the type of loss and the quantity and location of fishing gear to be developed and the water transmitter. In the field experiment, the data collection was possible from a minimum of 13 hours, ten minutes to a maximum of 20 hours and ten minutes using GPS, identifying the development status and underwater behavior of the coastal gillnet fishing gear. The result of the survey showed that the loss of coastal net fishing gear was in the following order: net (27.3%), full fishing gear (24.2%), buoys, and anchors (18.2%). The causes were active algae (50.0%), fish catches (33.3%) and natural disasters (12.5%). To solve this problem, the installation method is to attach one and two electronic buoys to top of each end of the fishing gear, and one underwater transmitter at both ends of the float line connected to the anchor. By identifying and managing abnormal conditions such as damage or loss of fishing gear due to external factors such as potent algae and cutting of fishing gear, loss of fishing gear can be reduced. If the lost fishing gear is found, it will be efficiently collected.

• The Journal of Korean Medicine
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• v.19 no.1
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• pp.271-298
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• 1998

During these days of new understanding, western medicine has developed remarkably and a revaluation of traditional medicine has been achieved. This appears to have resulted from the sound criticisms of what western medicine has achieved up to now; excessive subdivisions of clinical medicine, severe toxicity of chemical drugs, lack of understanding about patients complaints which cannot be understood objectively, and etc. It is thought that the role of traditional medicine will be more important in the future than it is now. Someone said that the research methods of traditional medicine depends on the way of experimental science too much. That there was no consideration of a system for traditional medicine and the critic also went so far as to assert that in some cases the characteristics of eastern ideas is to permit irrationalism itself. In view of this thinking, the term traditional medicine seems to have been used somewhat too vaguely. However, traditional medicine is a medical treatment which has existed since before the appearance of modern medicine and it was formed from a traditional culture with a long history. One form of traditional medicine, oriental medicine based upon ancient Chinese medicine, was received in such countries as Korea, Japan, Thailand, Vietnam, Tibet, and Mongolia. Oriental medicine then developed in accordance with its own environment, race, national characteristics, and history. Although there are some simultaneous differences between them, three nations in Eastern Asia; Korea, Japan, and China, have especially similar features in their clinical prescriptions and medical literature. These three nations are trying to understand each others unique traditional medicines through numerous exchanges. Even though many differences in their ways of studying have developed over history exist, recent academic discussions have been made to explore new ways into oriental medicine. Therefore a comparative study of oriental medicine has gradually been thought to be more important. In Korea the formation of a new future-oriented paradigm for oriental medicine is being demanded. The purpose of the new paradigm is to create a new recognition of traditional culture which creates an understanding of oriental medicine to replace the diminished understanding of oriental medicine that was brought about by the self-denial of traditional culture in modem history and cultural collisions between oriental and occidental points of view. Therefore, to make a new paradigm for oriental medicine which is suitable for these days, and fortifies the merit of oriental medicine while compensating its defects, the author has compared the characteristics of oriental medicines in Korea, Japan, and China. The conclusions of this research are as follows: 1. The fundamental differences of the traditional medicines of these three nations are caused by the differences in the systems of Naekyung and Sanghannon. 2. The pattern-identification of illnesses is generally divided into two categories; the pattern identification of Zang-Fu and the pattern identification of prescription. 3. There are many differences in the definition of terms, such as Yin and Yang, Deficiency and Excess, and etc. 4. Chinese traditional medicine has some new concepts about pattern identification and epidemic febrile disease. 5. Japanese traditional medicine has some characteristics about pattern identification of the whole bodys condition and signs of abdominal palpation. 6. In terms of the effects of herbal drugs, Chinese traditional medicine attaches great importance to the experiential efficacy of the herb, and Japanese traditional medicine is taking a serious view of the effects of experimental medical actions.

• Journal of Korean Academy of Nursing
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• v.21 no.2
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• pp.150-167
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• 1991

The intent of this longitudinal descriptive correlational study is to investigate the change of the mother - infant interactions over the periods of one month, three months and six months of the infant's age. This study is also intended to explore the interrelationships among three major factors- the perception of pregnancy, the mother -infant inter-action and the maternal attitude. The samples participated are 36 pairs of mother and infant from two university hospitals in Seoul. A data collection was made, from October in 1988 to September in 1989, for each subject at five periods of time ; prenatal period (after 36 weeks in pregnancy), postpartum two or three days, one month, three months and six months of infant's age. The research tools used in this investigation are Mother - Infant Play Interaction Scale (MIPIS), Prenatal Self- Evaluation Questionnaire and Cohler's Maternal Attitude Scale. Some of the findings are as follows ; 1. There is a significant increase in the mother - infant interaction from one month to three months and six months of infant's age. The highest score of the mother - infant interaction during three periods is at the time of three months. 2. The primipara's mother -infant interaction is not affected by the demographic characteristics, such as age, education and vocation of mother, types of delivery, or sex of infant. 3. Among seven categories of the perception of pregnancy, the most positively perceived categories by primiparas are acceptance of pregnancy and identification of. a motherhood role : whereas the negative ones are preparation for labor, concern for well -being of self and baby, md fear of pain, helplessness and loss of control in order of negativity. 4. There is no significant relationship between the perception of pregnancy and the mother - infant interactions. 5. There is no significant change in the maternal attitude over the period of one month, three months, and six months of infant's age. 6. There is no significant relationship between the maternal attitude and the mother - infant interactions. 7, The significant relationships are (end between the perception of pregnancy and maternal attitude, especially in the categories of concern for well -being of self and baby, accetance of pregnancy, identification of a motherhood role, fear of pain, helplessness and loss of control, and relationship with husband. In conclusion, it is confirmed that primipara's mother-infant interactions change over time period, and that perception of pregnancy and the maternal attitude do not affect the mother-infant interactions despite a significat relationship between those two variables. The implications of this investigation include a suggestion that nurses need to teach and demonstrate to mothers how to care for and interact with their infants, with a view to improving the mother-infant interactions which can be obtained through the improvement of maternal sensitivity to their infants.

• Journal of Gifted/Talented Education
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• v.24 no.3
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• pp.445-462
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• 2014

The purpose of the present study is to compare paper and pencil test utilized to identify gifted students so far to the recently introduced teacher observation-recommendation system. More specifically, this study compared intelligence, career patterns, and self- regulated learning abilities of gifted students who were identified through those two different identification system to explore the possibility of the newly introduced teacher observation-recommendation system. The results show that there was no significant difference in the aspect of overall IQ score. However, students who were identified through the observation-recommendation system showed significantly higher scores at some subscores of intelligence test, such as vocabulary application, comprehension, and schematization. In the aspects of career patterns, about 72% of gifted students who were identified through the previous paper and pencil test belonged to the 'investigative' category of Holland. But more diverse career patterns such as enterprising, social, realistic, conventional including investigative categories were found in those students who were identified by the observation-recommendation system. There were also significant differences in the self-regulated learning abilities between two groups of students. Practical implications of the study were discussed in depth.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.104-112
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• 2019

This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.334-340
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• 2002

This paper proposes a self-organizing fuzzy modeling which can create a new hyperplane-shaped cluster by applying multiple regression to input/output data with relatively large fuzzy entropy, add the new cluster to fuzzy rule base and adjust parameters of the fuzzy model in repetition. Tn the coarse tuning, weighted recursive least squared algorithm and fuzzy C-regression model clustering are used and in the fine tuning, gradient descent algorithm is used to adjust parameters of the fuzzy model precisely And learning rates are optimized by utilizing meiosis-genetic algorithm. To check the effectiveness and feasibility of the suggested algorithm, four representative examples for system identification are examined and the performance of the identified fuzzy model is demonstrated in comparison with that of the conventional fuzzy models.

• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.405-431
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• 2009

The purpose of this study was to analyze the experience of dysfunctional family's sons and daughters in bibliotherapy program. To do this, this study collected its data through writings, speaking and term papers of 6 undergraduate students experiencing bibliotherapy program. The collected data were analyzed by phenomenological methods. As a result, the participants experienced 1) recognition of trauma and problems, 2) sympathy and identification, 3) self insight and self understanding, 4) expressing their will to recover trauma and finding solutions, 5) affirmative change, maturity and healing. And also they went through thinking and feeling dynamically in the bibliotherapy program. These results show that the bibliotherapy program helps dysfunctional family's sons and daughters solve their problems and trauma.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.81-94
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• 2018

The purpose of this study is to substantiate the affecting factors of informal learning outcomes for professions in various dimensions of an individual and organization. In specific, the study analyzed the effects of learning motivation, job characteristics, and a supportive learning environment which have on task-related knowledge acquisition, adapting to organization and understanding contexts, relationship formation, and improving self-development-ability. The participants of the study were 261 professionals working at four major accounting firms in South Korea. Multiple regression models were applied step by step for analysis. In this study, the informal learning of professionals working at four major accounting firms is influenced by various factors of learning motivation, job characteristics, and a supportive learning environment. The detailed analysis results were as follows. Firstly, peer-support showed the most positive effect on task-related knowledge acquisition. Secondly, for adapting to organization and understanding contexts, task autonomy showed the greatest effect. Thirdly, peer-support was found to be the most important factor for relationship formation. Fourthly, for improving self-development ability, learning goal orientation showed to be the most important factor. The various factors facilitated the professional learning by empirical identification. The study presented practical implications for creating an effective informal learning support environment.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2891-2893
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• 2005

In this paper, we introduce a new category of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) that is based on a genetically optimized multi-layer perceptron with fuzzy polynomial neurons (FPNs) and discuss its comprehensive design methodology involving mechanisms of genetic optimization. The conventional SOFPNN algorithm leads to a tendency to produce overly complex networks as well as a repetitive computation load by the trial and error method and/or the a repetitive parameter adjustment by designer. In order to generate a structurally and parametrically optimized network, such parameters need to be optimal. In this study, in solving the problems with the conventional SOFPNN, we introduce a new design approach of evolutionary optimized SOFPNN. Optimal parameters design available within FPN (viz. the no. of input variables, the order of the polynomial, input variables, and the no. of membership function) lead to structurally and parametrically optimized network which is more flexible as well as simpler architecture than the conventional SOFPNN. In addition, we determine the initial apexes of membership functions by genetic algorithm.