• Physical Therapy Korea
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• v.9 no.4
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• pp.13-35
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• 2002

Lesch-Nyhan 증후근(LNS)은 hypoxanthine guanine phosphoribosyle transferase(HGPRT) 효소를 암호화 하는 X 염색체가 불완전해서 일어나는 유전적인 추제외로계(또는 기저핵)의 드문 병변이다. 출생시 LNS 유아는 정상적인 운동발달이 관찰되어진다. LNS에게서 현저하게 진단적인 특징으로 보여지는 운동심리적 행동인 self-mutilating 행위는 4살 이후에나 나타난다. LNS 아이들은 오히려 초기에 Rett's 증후근, 뇌성마비, 자폐, 다운증후근과 유사한 운동행위를 보인다. 그래서 LNS 아이들은 앞에 기술한 신경학적 장애로 오진을 받을 수가 있다. 오진으로 인해 초기에 적절한 치료를 받지 못한다면 LNS는 결과적으로 합병증(신장부전)과 self-mutilating 행위로 인하여 치명적일 수가 있다. 그러므로, 이 연구의 목적은 LNS 평가 동안 더 나은 진단을 하도록 하기 위하여 LNS와 관련된 기능부전에 대한 지식을 임상가들에게 제공하고자 함이었다. 연구 대상자는 10살인 2명의 쌍둥이 남아이었으며 실험은 뻗기 과제 수행(reaching task)시 움직임 특성을 보기 위하여 운동형상학적과 비디오 분석을 사용하였다. 기술통계로 분석 결과 움직임 시간과 단위가 증가됨을 보였고 사지의 분절적 움직임이 협응되지 않음을 보였다. ballistic과 jerky 움직임 양상은 dysmetric과 비긴장성 운동 행위에서 우세하였다. LNS은 추체로계 운동 장애 (과근긴장도나 저긴장도) 와 추체외로계의 운동 장애(dystonia와 choreoathetosis)의 혼합된 형태를 보였다. 결론으로 이 연구는 운동발달 장애를 가진 아이들을 치료하고자 할 때 임상가들한테 LNS 아이들의 움직임 장애의 다른 진단적 특징을 알아야 한다는 것을 제시하고자 한다.

• Transactions on Control, Automation and Systems Engineering
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• v.3 no.1
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• pp.43-50
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• 2001

In this paper, we propose the design procedure of advance Polynomial Neural Networks(PNN) architecture for optimal model identification of complex and nonlinear system. The proposed PNN architecture is presented as the generic and advanced type. The essence of the design procedure dwells on the Group Method of Data Handling(GMDH). PNN is a flexible neural architecture whose structure is developed through learning. In particular, the number of layers of the PNN is not fixed in advance but is generated in a dynamic way. In this sense, PNN is a self-organizing network. With the aid of three representative numerical examples, compari-sons show that the proposed advanced PNN algorithm can produce the model with higher accuracy than previous other works. And performance index related to approximation and generalization capabilities of model is evaluated and also discussed.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.245-251
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• 2012

The significance of this study lies in the fact that it looks into the function of games as one of the important leisure activities at the moment when negative perception on overall game industry is becoming an obstacle in settlement of sound game culture. Game is one of the activities enjoyed in leisure time. The main positive effects of game were analyzed classifying them into 10 types including the stress relief and alleviation of tension, diverse identity experience and positive socialization experience, strengthening of self-respect and ideal self-realization, strengthening of independent thinking and problem-solving capacity, motivation for learning, enhancement in physical capacity, decrease in aggressive tendencies, cultivation of awareness on equality, increase in familiarity with the civilization of technology, and strengthening of individuality based on diversity.

• Korean Journal of Child Studies
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• v.25 no.6
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• pp.171-189
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• 2004

Children develop emotional intelligence during the early years of life, and according to experts, emotional intelligence(EI) is a more reliable predictor of academic achievement than IQ. However, nowadays children appear to be low on emotional well-being. This has potentially negative consequences, not only for academic achievement but also for personal relationships. The purpose of this study was to develop emotional education program for young children(EEPYC). In this study, EI is defined to carry out reasoning in regard to emotions and to use emotion for enhancement of thought. Designed to facilitate development of young children's EI. EEPYC is based on the four branch model, which is mental EI model and based on the guiding principle of Collaborative to Advance Social and Emotional Learning. The subgroups(curricular) that compose EEPYC are Emotional Perception, appraisal, and expression, Self-recognition program, Self-esteem program, Emotional Stress Regulation, Emotional problem solving & conflict resolution. EEPYC has the potential of fostering emotional intelligence. Moreover, EEPYC can promote a motivation, prosocial activity, and regulation of stress. This helps young children to develope cognition and emotion in harmonious fashion.

• Journal of Fisheries and Marine Sciences Education
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• v.18 no.3
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• pp.302-313
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• 2006

This paper explores the efficacy on enforcing empowerment for the beginner special education teachers' adaptation of teaching life. Empowerment is widespread public concern regarding the role of the teacher in decision made in the operation of schools. Therefore what is discussed to be definition, a central component and strategies of empowerment based upon the through literature review. Empowerment is defined in terms of teachers power to participate in decision making about teaching and learning condition, especially is related to disabilities. And Empowerment has six components, decision making, professional growth, status, self-efficacy, autonomy, and impact. When novice teachers in special education utilize self-empowerment strategy, they have the opportunities for greater status and increasing power.Finally, empowerment is at the heart of special education teachers' adaptation of teaching life. It is suggested that follow-up studies should be conducted to develop indicator for assessing what teachers in special education perceived their empowerment in overall work. Also higher education program must address this issue in pre-service training of administrators and teachers in special education.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.3
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• pp.519-537
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• 2014

Teacher efficacy influences teacher's own behaviors in class and students outcomes such as achievement, motivation and their own self-efficacy. In recent years, self efficacy and teacher efficacy are becoming more popular in many educational aspects. Teacher efficacy depends on him/her and each tasks and goals. Therefore, we need special instrument for measuring mathematics teacher efficacy. On this study, we derived educationally meaningful factors on mathematics teacher efficacy from previous literature. We developed Mathematics Teaching Efficacy Instrument(MTEI) consisted of 30 items with 6-point Likert scale. The six factors are as follows; mathematics teaching efficacy expectancy, mathematics teaching outcome expectancy, mathematics teaching content knowledge, teacher belief on their own students, the past mathematics learning experience for teacher own, influence from social-cultural environment.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2762-2764
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• 2001

In this study, we introduce and investigate a class of dynamic perceptron architectures, discuss a comprehensive design methodology and carry out a series of numeric experiments. The proposed dynamic perceptron architectures are called as Polynomial Neural Networks(PNN). PNN is a flexible neural architecture whose topology is developed through learning. In particular, the number of layers of the PNN is not fixed in advance but is generated on the fly. In this sense, PNN is a self-organizing network. PNN has two kinds of networks, Polynomial Neuron(FPN)-based and Fuzzy Polynomial Neuron(FPN)-based networks, according to a polynomial structure. The essence of the design procedure of PN-based Self-organizing Polynomial Neural Networks(SOPNN) dwells on the Group Method of Data Handling (GMDH) [1]. Each node of the SOPNN exhibits a high level of flexibility and realizes a polynomial type of mapping (linear, quadratic, and cubic) between input and output variables. FPN-based SOPNN dwells on the ideas of fuzzy rule-based computing and neural networks. Simulations involve a series of synthetic as well as experimental data used across various neurofuzzy systems. A detailed comparative analysis is included as well.

• Annual Conference of KIPS
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• 2015.04a
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• pp.802-805
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• 2015

본 논문은 인공신경망(artificial neural network)의 한 종류인 자기조직화 지도(self-organizing map)를 이용하여 비교말뭉치(comparable corpora)로부터 이중언어사전(bilingual lexicon)을 자동으로 구축하는 방법에 대하여 기술한다. 일반적으로 우리가 대상으로 하는 언어 쌍마다 말뭉치 혹은 초기사전과 같은 언어 자원을 수집하고 그것을 필요에 맞게 가공하는 것은 매우 어려운 일이다. 이런 관점에서 볼 때, 비지도학습(unsupervised learning) 방법 중 하나인 자기조직화 지도를 이용하여 사전을 구축하면 다른 방법에 비해 적은 노력으로도 더 높은 성능을 얻을 수 있다. 본 논문에서는 한국어와 불어에 대하여 실험을 하였고, 그 결과 적은 양의 초기사전으로도 주목할 만한 정확도를 얻을 수 있었다. 향후 연구로는 학습 파라미터에 대해 좀 더 다양한 실험을 하고, 다른 언어 쌍으로의 적용 및 기존의 평가사전을 확장하여 더 많은 경우에 대해 실험하는 것을 들 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.556-561
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• 2006

It is very important to classify the DNA Chip image pattern in order to acquire useful information about genetic disease of people. In this paper, we developed the novel pattern classification method of DNA Chip image using MLP based back-propagation and Self organizing Map learning algorithm. And then we compared and analyzed these classified pattern results. Also we carried out experiment in the MV2440 board using CPU Cote for S3C2440(ARM 920T) and PC environment, and displayed its results in order to give the genetic information to user mote easily in various environment.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.107-115
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• 2021

This paper presents a smartphone application for the clinical practice education conducted in hospitals, with an aim to evaluate its effectiveness. A nonequivalent control group posttest design was used, which included a total of 100 nursing of school students who conducted their clinical practice. They were divided into one control and one experimental group (50 students each). The control group was directly trained in the clinical practice orientation, and the experimental group was a group who self-learned the clinical practice orientation using a smartphone application. Research data were collected between March 5 and April 27, 2019. They were analyzed with descriptive statistics and independent t-test, using the SPSS Statistics Version 24. The smartphone application customized for the clinical practice education was implemented through the following four phases: analysis, design, development, and evaluation. The developed application was registered in Google Play (for Android apps) and Apple Store, and related information was provided, making it available for download. The study showed that the satisfaction with and self-confidence in learning differed significantly between the groups. However, technology acceptance and knowledge acquired through practice showed no statistically significant difference. The research results serve as basic data for applying smartphone applications as an educational method that can replace traditional modes of education, serving as a significant indicator of the education delivery method diversification.