• 간호행정학회지
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• 제19권2호
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• pp.282-291
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• 2013

Purpose: The purpose of this study was to identify clusters of nursing competency, and investigate the influence of reflective thinking, team learning climate, and learning organization building according to nursing competency clusters. Methods: Participants were 244 clinical nurses who worked in 4 general hospitals in Gwangju Metropolitan City. Data were collected by self-report questionnaires during June and July, 2011. Nursing competency, levels of reflection hierarchy, team learning climate, and learning organization building were measured. Data were analyzed using frequencies, means, t-test, one-way ANOVA, Pearson correlation coefficients, and K-means cluster analysis with SPSS/WIN 20.0 version. Results: Nursing competency correlated positively with intensive reflection, reflection, team learning climate, and learning organization building (p<.001). There were three clusters of nursing competency in a clinical ladder, which were derived from cluster analysis, grouped as high, middle, and low competency. Intensive reflection, reflection, team learning climate, and learning organization building showed significant differences according to grouping of nursing competency. Conclusion: The results indicate that developing intensive reflection, reflection, team learning climate, and learning organization building would be useful strategies for enhancement of nursing competency.

• 간호행정학회지
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• 제11권3호
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• pp.265-273
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• 2005

Purpose: This study was to investigate the degree and pattern of learning organization and MBTI personality type in clinical nurses. Methods: The participants were 685 nurses working in the 8 general hospitals located in Seoul and Incheon. The data were collected by self-reporting questionnaires from April 1 to August 30, 2004. The data were analyzed using SAS program for descriptive statistics and Pearson's correlation coefficient. Results: The most frequent identified personality type was ISTJ and the least identified personal types was ENFJ. In 4 preference patterns, Extroversion, Sensing, Thinking and Judgement were identified a dominant index in each categories. The mean score of learning organization was 3.47 and the mental model was got the highest score. The EI index had a significant positive correlation with personal mastery. However the TF index had a negative correlation with personal mastery, systems thinking, and mental models, and also the JP index had a negative correlation with 5 learning organization sub categories. Conclusion: With these results, it was identified that the preference patterns on MBTI had the significant correlation with learning organization. So these results will be used to develop the more effective strategies to increase learning organization based on nurse's personality types.

• 한국사회복지학
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• 제66권1호
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• pp.333-361
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• 2014

본 연구는 대구시와 경북지역 사회복지기관 후원자들을 대상으로 이들의 기부효용감이 기부지속의도에 미치는 직접효과와, 기관신뢰도와 자기수용감의 매개효과, 그리고 경제수준이 미치는 조절효과를 검증하였다. 분석방법으로 구조방정식 모형을 토대로 변수간의 인과관계를 분석하였고, 인과관계에 대한 '경제수준'에 따른 비교를 위한 다집단 분석, 계수차이검증에 근거한 구조동일성 모형검증, 다중매개검증, 잠재평균분석을 실시하였다. 통계 패키지는 SPSS 18, Amos 19, Mplus 6을 사용하였다. 분석결과 밝혀진 주요내용은 다음과 같다. (1) '정서적 효용감'과 '가시적 효용감'은 각각 '기관신뢰도', '자기수용' 그리고 '기부지속의도'에 모두 정적 직접효과를 미쳤다. (2) '기관신뢰도'는 기부지속의도에 정적 직접효과와, '정서적 효용감' 및 '가시적 효용감'이 '기부지속의도'에 미치는 영향, 그리고 '자기수용감'에 미치는 영향을 각각 유의하게 매개하였다. (3) '자기수용감'은 '기부지속의도'에 직접적인 영향을 미치지 않았다. (4) '기관신뢰도'가 '기부지속의도'에 미치는 정적 효과는 경제형편이 저조한 경우에는 유의하지 않아, '경제수준'의 조절효과가 실증적으로 확인되었다. 기부행위를 통해 경험한 정서적, 가시적 효용감은 기부 지속의도를 높일 뿐만 아니라, 기부자들이 자기 수용감 증진에도 매우 긍정적인 기여한다는 사실이 실증적으로 규명되었다. 따라서 기부자들을 자원제공자로만 보던 시각에서 기부행위를 통한 수혜자(beneficiary)로까지 시각을 확대하였고, 연구결과를 토대로 사회복지적 함의를 논의하였다.

• 아동학회지
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• 제22권3호
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• pp.31-48
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• 2001

This study was designed to examine various patterns of developmental change in children's recall, strategic behaviors, and meta-memory with a sort-recall task in relation to utilization deficiencies. Memory tasks consisting of 18 pictures were presented individually to 48 seven-year-old children in each of 7 sessions. Sessions 1 and 2 were baseline; Sessions 3 and 4 were for strategy training, including the organization group, the self-regulation group, the organization/self-regulation group and control group. Sessions 5, 6, and 7 were unprompted tests of strategy maintenance. Results showed significant differences between the 4 groups in their recall, strategy repertories and strategy evaluation. Findings were discussed in terms of the analysis of memory strategy and memory development.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.368-369
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• 2011

This article suggests an online-based remote fault current mode discrimination method in order to identify the causes of the power line faults with various causes. For that, it refers to existing cause identification methods and categorizes modes by fault causes based on statistical techniques beforehand and performs the pretreatment process of fault currents by each cause acquired from the fault recorder into a topological plane in order to extract the characteristics of fault currents by each cause. After that, for the fault mode categorization, it discriminates modes by each cause using data by each cause as leaning data through utilizing RBF network based on FCM allowing self-organization in deciding the middle layer. And then it tests the validity of the suggested method as applying it to the data of the actual fault currents acquired from the fault recorder in the electric power transmission center.

• 한국경영과학회지
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• 제25권4호
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• pp.97-109
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• 2000

This work proposes a neural network approach to solve vehicle routing problems which have diverse application areas such as vehicle routing and robot programming. In solving these problems, classical mathematical approaches have many difficulties. In particular, it is almost impossible to implement a real-time vehicle routing with multiple vehicles. Recently, many researchers proposed methods to overcome the limitation by adopting heuristic algorithms, genetic algorithms, neural network techniques and others. The most basic model for path planning is the Travelling Salesman Problem(TSP) for a minimum distance path. We extend this for a problem with dynamic upcoming of new positions with multiple vehicles. In this paper, we propose an algorithm based on SOM(Self-Organization Map) to obtain a sub-optimal solution for a real-time vehicle routing problem. We develope a model of a generalized multiple TSP and suggest and efficient solving procedure.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.1638_1639
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• 2009

This paper propose a mobile robot for the obstacle avoidance control. The proposed method based on self-organization method is a way to escape of obstacle. Optimal path planning and obstacle avoidance, depending on its final goal will arrive at exactly the mobile robot. Simulation results show the validity of the proposed method.

• Rapid Communication in Photoscience
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• 제3권4호
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• pp.67-69
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• 2014

Bis(2-thienyl)-diketopyrrolopyrrole having two $Zn^{II}$-cylcens (DPPCy) was synthesized. DPP-aggregates were constructed by self-organization of DPPCy and $dT_n$-DNAs. In the presence of L-ascorbic acid as an electron sacrifice reagent, the DPP aggregates immobilized on a gold electrode exhibit good anodic photocurrent responses as well as cathodic photocurrent responses in the presence of methyl viologen. The anodic photocurrent responses depend on the DNA lengths because of the formation of uniform DPP-aggregates corresponding to the DNA lengths. The present results show that photocurrent responses of the DPP-aggregates can be controlled by DNA lengths and electron sacrifice reagents.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.894-897
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• 1995

This paper focuses on self-organization of fuzzy rules for performance management of computer communication networks serving manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The principle of fuzzy logic has been used in representing the knowledge of human expert on the performance management and in deriving management decisions. In this paper, we present applications of genetic algorithm, simulated annealing, and evolution strategies to find a better set of rules for various network conditions. The efficacy of this self-organization is demonstrated by discrete simulation of an IEEE 802.4 network.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1044-1047
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• 1996

In this paper, GMDH(Group Method of Data Handling) algorithm, which is based on heuristic self organization to predict and identify the complex system, is applied to the control system of DC servo motor. The mathematical relation between input voltage and motor speed is obtained by GMDH algorithm. A design method of model following control system based on GMDH algorithm is developed. As a result of applying this method to DC servo motor, the simulation and experiment have shown that the developed method gives a good performance in tracking the reference model and in rejection of disturbance, in spite of constant load and changing load.