• Title/Summary/Keyword: 학습조직화

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Development of Rainfall-Runoff Prediction Model for Self Organizing Map (SOM에 강우-유출 예측모형 개발에 관한 연구)

  • Kim, Yong-Gu;Jin, Young-Hoon;Lee, Han-Min;Park, Sung-Chun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.301-306
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    • 2006
  • 본 연구에서는 강우의 시 공간적 분포의 불규칙한 변동성을 고려한 강우-유출예측을 위해 인공신경망(Artificial Neural Networks: ANNs)의 기법의 일종인 자기조직화(Self Organizing Map: SOM) 이론과 역전파 학습 알고리즘(Back Propagation Algorithm: BPA) 이론을 복합적으로 이용하였다. 기존의 인공신경망 연구에서 야기된 저..갈수기의 유출량에 대한 과대평가, 홍수기의 유출량에 대한 과소평가, 예측값이 선행 유출량의 지속성을 갖는 Persistence 현상을 해결하기 위하여 패턴분류 성능을 지닌 SOM 이론을 도입하여 예측모형의 전처리 과정으로 이용하였다. 이는 기존의 인공신경망 모형이 하나의 모형을 구성하여 유출량의 전 범위에 해당하는 자료를 예측하는 방법을 개선한 것으로 SOM에 의해 패턴이 분류된 강우-유출관계의 각 패턴별 예측모형을 통해 분류된 자료들의 예측을 수행하는 방법이다. 이와 같이 SOM을 강우-유출예측모형의 전처리과정으로 이용함으로서 기존의 인공신경망 연구에서 야기된 현상들을 해결할 수 있었고, 예측력 또한 기존의 인공신경망 모형의 결과에 비해 우수하였다.

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Application of Artificial Neural Networks Technique for the Improvement of Flood Forecasting and Warning System (홍수 예.경보시스템 개선을 위한 인공신경망 이론의 적용)

  • Park, Sung-Chun;Kim, Yong-Gu;Jeong, Choen-Lee;Jin, Young-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1265-1271
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    • 2009
  • 본 연구에서는 강우의 시 공간적 분포의 불규칙한 변동성을 고려한 강우-유출예측모형을 위해 인공신경망(Artificial Neural Networks: ANNs)의 기법의 일종인 자기조직화(Self Organizing Map: SOM) 이론과 역전파 학습 알고리즘(Back Propagation Algorithm: BPA) 이론을 복합적으로 이용하였다. 기존의 인공신경망 연구에서 야기된 저 갈수기의 유출량에 대한 과대평가, 홍수기의 유출량에 대한 과소평가, 예측값이 연속적으로 선행 유출량을 나타내는 Persistence 현상을 해결하기 위하여 패턴분류 성능을 지닌 SOM 이론을 예측모형의 전처리 과정으로 이용하였다. 먼저, 본 연구에서 제안한 방법은 SOM에 의해 강우-유출 관계를 분류하고, SOM에 의한 분류에 따라 각각의 모형을 구성한다. 개별적으로 구축된 모형은 유출량의 예측을 위해 각각의 양상에 따라 분류된 자료를 이용한다. 결과적으로 본 연구에서 제안한 방법은 과거의 인공신경망의 일반적인 적용에 의한 결과보다 더 나은 예측능력을 보여주었으며, 더불어 유출량의 과소 및 과대추정과 Persistence 현상과 같은 문제점이 나타나지 않았다. 또한 강우량 및 유출량의 범위에 제한을 받지 않는 강우-유출예측 모형의 개발 및 홍수기로부터 갈수기까지의 보다 넓은 범위의 유출량의 예측에 기여할 것으로 기대된다.

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A Two-Stage Document Page Segmentation Method using Morphological Distance Map and RBF Network (거리 사상 함수 및 RBF 네트워크의 2단계 알고리즘을 적용한 서류 레이아웃 분할 방법)

  • Shin, Hyun-Kyung
    • Journal of KIISE:Software and Applications
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    • v.35 no.9
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    • pp.547-553
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    • 2008
  • We propose a two-stage document layout segmentation method. At the first stage, as top-down segmentation, morphological distance map algorithm extracts a collection of rectangular regions from a given input image. This preliminary result from the first stage is employed as input parameters for the process of next stage. At the second stage, a machine-learning algorithm is adopted RBF network, one of neural networks based on statistical model, is selected. In order for constructing the hidden layer of RBF network, a data clustering technique bared on the self-organizing property of Kohonen network is utilized. We present a result showing that the supervised neural network, trained by 300 number of sample data, improves the preliminary results of the first stage.

On the enhancement of the learning efficiency of the self-organization neural networks (자기조직화 신경회로망의 학습능률 향상에 관한 연구)

  • Hong, Bong-Hwa;Heo, Yun-Seok
    • The Journal of Information Technology
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    • v.7 no.3
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    • pp.11-18
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    • 2004
  • Learning procedure in the neural network is updating of weights between neurons. Unadequate initial learning coefficient causes excessive iterations of learning process or incorrect learning results and degrades learning efficiency. In this paper, adaptive learning algorithm is proposed to increase the efficient in the learning algorithms of Self-Organization Neural Networks. The algorithm updates the weights adaptively when learning procedure runs. To prove the efficiency the algorithm is experimented to classification of strokes which is the reference handwritten character. The result shows improved classification rate about 1.44~3.65% proposed method compare with Kohonan and Mao's algorithms, in this paper.

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A Study on the effect of Learning organization activities on the Job burnout -Trustworthiness as a Moderating variable- (학습조직활동이 직무소진에 미치는 영향 -상사 신뢰성의 조절효과를 중심으로-)

  • Kim, Jin-Wook;Chang, Young-Chul
    • Management & Information Systems Review
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    • v.35 no.4
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    • pp.185-211
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    • 2016
  • This study examined the impact of learning organization activities on burnout and the moderating effect of supervisor trust in a learning organization. The results of the study shows that among the activities of a learning organization, independent variables in this study, promoting inquiry and dialogue as well as encouraging collaboration and team learning affect burnout. In other words, the dedication of an organization to creating a culture in which various learning approaches are experimented through questioning and giving feedback as well as collaborative learning that can reinforce the effective use of team resources have an impact on reducing emotional exhaustion, which is considered to be at the core of burnout. Plus, these factors reduce impersonalization, which is activated to prevent further emotional exhaustion by dealing with customers, colleagues and jobs in a cold, negative and perfunctory way. In this study, the dimensions of promoting inquiry and dialogue as well as encouraging collaboration and team learning were found to reduce the decline in personal sense of achievement of an employee with a negative assessment of himself or herself derived from a lack of achievement in his or her job. Supervisor trust (integrity, benevolence and ability) had a moderating effect on the relationship between strategic learning leadership and impersonalization/emotional exhaustion. This suggests that the trust of supervisor helps mediate and moderate the emotional exhaustion and impersonalization of organizational members by encouraging leaders to drive change and take the organization to a new direction. The study has provided implications that communication plays an important role in reducing burnout in the learning context such as positive, appreciative inquiry and feedback analysis to identify strength, and that supervisor trust is critical in order to ensure strategic learning leadership exerts greater influence on the organization.

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A Study on the Fundamental Course of Multimedia Design (멀티미디어 디자인 교육의 기초 과정에 대한 연구)

  • 이지수
    • Archives of design research
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    • v.15 no.4
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    • pp.223-230
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    • 2002
  • As evolution of multimedia technology brings changes to industries concerned with design, new education program is needed to cultivate designers with abilities which are adapted to changed circumstance. This paper is purposed to show guideline to set up a fundamental course for multimedia design in which students know what are new presentation modes and learn how to use them, Multimedia design call for abilities of organizing information, representing, and implementing interactivity. Among them, fundamental course considers representing information as central subject. And it also contains lessons which are relative to proceeding courses. It should have students to experience creative composition and various expressions, and study cognitive or aesthetic effects of them. All activities are based on the understanding about presentation factors and principles. Basic course's lessons are composed by two main subjects, which are essential expression and matters relative to organization and interactivity. Described in detail, lessons are divided into three phases. First phase is combining presentation factors for affective effects, second is delivering message of various knowledges and third is forming simple interaction.

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Background Segmentation in Color Image Using Self-Organizing Feature Selection (자기 조직화 기법을 활용한 컬러 영상 배경 영역 추출)

  • Shin, Hyun-Kyung
    • The KIPS Transactions:PartB
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    • v.15B no.5
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    • pp.407-412
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    • 2008
  • Color segmentation is one of the most challenging problems in image processing especially in case of handling the images with cluttered background. Great amount of color segmentation methods have been developed and applied to real problems. In this paper, we suggest a new methodology. Our approach is focused on background extraction, as a complimentary operation to standard foreground object segmentation, using self-organizing feature selective property of unsupervised self-learning paradigm based on the competitive algorithm. The results of our studies show that background segmentation can be achievable in efficient manner.

A Study on the Level of Self-regulated Learning Ability for Students attending Tutoring Program (튜터링 프로그램에 참여한 D대학 대학생들의 자기조절 학습능력 수준에 관한 조사)

  • Jeong, Hyun-Ja;Pyo, Chang-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.1
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    • pp.170-180
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    • 2011
  • The purposes of this study are to find out the effectiveness of the tutoring program and the level of self-regulated learning ability in tutoring program attending students. This study has been performed for team-tutoring program attending students(n=183) who are in 15 department, D college in Daegu. Following results were drawn thought correlation analyses of variables obtained during the survey period. The results were as follows; There was statistically significant difference among perception controlling ability, purpose controlling ability, and action controlling ability. In over 20 ages, organization, meta-perception stratagem, arrangement, self-effectiveness, controlling learning time ability were higher than of lower 20 ages(p<0.05). In tutors, demonstration, organization, meta-perception stratagem, arrangement, checking, purpose intentions, self- effectiveness, achievement, controlling action, help requirement ability were higher than tutees(p<0.05). As results, the tutoring program was effective for both tutors and tutees in college students. Further studies in an education program for students in all years should be implemented to examine tutoring effects. Implementation of tutoring should address the frustrations and difficulties encountered by the students to facilitate better outcomes.

The Effect of Learning Organization Construction and Learning Orientation on Organizational Effectiveness among Hospital Nurses (병원간호사의 학습조직화와 학습지향성이 조직유효성에 미치는 영향)

  • Kang, Kyeong-Hwa;Song, Gi-Jun
    • Journal of Korean Academy of Nursing Administration
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    • v.16 no.3
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    • pp.267-275
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    • 2010
  • Purpose: This study conducted to identify the effect of learning organization construction and learning orientation on organizational effectiveness among hospital nurses. Method: Data was collected from convenient sample of 296 nurses who worked for the major hospitals in Seoul, Gyeonggi-do and Gangwoen-do. The self-reported questionnaire was used to assess the general characteristics, the level of the learning organization construction, learning orientation and organizational effectiveness. The data were analyzed using descriptive statistics, pearson's correlation coefficient and multiple regression. Result: The mean score of learning organization construction was 3.61(${\pm}.32$), learning orientation got 3.26(${\pm}.39$), and organizational effectiveness obtained 3.38(${\pm}.42$). The learning organization construction affects of organizational effectiveness by 44.18% and learning orientation by 37.43%. Conclusion: This finding indicates that learning organization construction and learning orientation affects the nurses' organizational effectiveness in hospital.

A Study on the Digital Hardware Implementation of Self-Organizing feature Map Neural Network with Constant Adaptation Gain and Binary Reinforcement Function (일정 학습계수와 이진 강화함수를 가진 SOFM 신경회로망의 디지털 하드웨어 구현에 관한 연구)

  • 조성원;석진욱;홍성룡
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.402-408
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    • 1997
  • 일정 학습계수와 이진 강화함수를 지닌 자기조직화 형상지도(Self-Organizing Feature Map)신경회로망을 FPGA위에 하드웨어로 구현하였다. 원래의 SOFM 알고리즘에서 학습계수가 시간 종속형인데 반하여, 본 논문에서 하드웨어로 구현한 알고리즘에서는 학습계수가 일정인 값으로 고정되며 이로 인한 성능저하를 보상하기 위하여 이진 강화함수를 부가하였다. 제안한 알고리즘은 복잡한 곱셈 연산을 필요로 하지 않으므로 하드웨어 구현시 보다 쉽게 구현 가능한 특징이 있다. 1개의 덧셈/뺄셈기와 2개의 덧셈기로 구성된 단위 뉴런은 형대가 단순하면서 반복적이므로 하나의 FPGA위에서도 다수의 뉴런을 구현 할 수 있으며 비교적 소수의 제어 신호로서 이들을 모두 제어 가능할 수 있도록 설계하였다. 실험결과 각 구성부분은 모두 이상 없이 올바로 동작하였으며 각 부분이 모두 종합된 전체 시스템도 이상 없이 동작함을 알 수 있었다.

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