• 오토저널
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• 제11권2호
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• pp.24-33
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• 1989

본 고에서는 이러한 추세에 따라서, 보다 효율적인 optimization program에 대해서 소개하고자 한다. 사용한 최적화 알고리즘은 ALM(augmented lagrange multiplier) 방법을 적용해서 구속조건이 있는 문제를 구속조건이 없는 문제로 변환한 후, self-scaling BFGS(broydon-flecher-goldfarb-schanno)를 적용한다. BFGS의 각 descent 방향에서의 step 길이는, sequential search로 unimodal point를 구해서, golden section 방법으로 refine을 한후, cubic approximation을 적용해서 구한다.

• 한국지능시스템학회논문지
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• 제11권3호
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• pp.231-240
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• 2001

Conventional expert systems has been criticized due to its lack of capability to adapt to the changing decision-making environments. In literature, many methods have been proposed to make expert systems more environment-adaptive by incorporating fuzzy logic and neural networks. The objective of this paper is to propose a new approach to building a self-evolving expert system inference mechanism by integrating fuzzy neural network and fuzzy rule extraction technique. The main recipe of our proposed approach is to fuzzify the training data, train them by a fuzzy neural network, extract a set of fuzzy rules from the trained network, organize a knowledge base, and refine the fuzzy rules by applying a pruning algorithm when the decision-making environments are detected to be changed significantly. To prove the validity, we tested our proposed self-evolving expert systems inference mechanism by using the bankruptcy data, and compared its results with the conventional neural network. Non-parametric statistical analysis of the experimental results showed that our proposed approach is valid significantly.

• 대한간호학회지
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• 제42권7호
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• pp.1079-1086
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• 2012

Purpose: The purpose of this study was to develop and evaluate psychometric properties of the instrument, Resuscitation Self-Efficacy Scale for nurses. Methods: This was a methodological study for instrument development and psychometric testing. The initial item pool derived from literature review and experts resulted in 30 items linked to resuscitation self-efficacy. A convenience sample of 509 Korean nurses from eleven academic teaching hospitals participated in a survey to examine psychometric properties of the scale. To examine construct validity, exploratory factor analysis and known-group comparison were used. Cronbach's coefficient alpha was used to determine the scale's internal consistency reliability. Results: The final scale included 17 items with four-component structure termed 'Recognition', 'Debriefing and recording', 'Responding and rescuing', and 'Reporting'. These four factors accounted for 57.5% of the variance. Each subscale and the total scale demonstrated satisfactory internal consistency: .82; .88; .87; .83; and .91 respectively. Experienced nurses reported significantly higher self-efficacy mean scores in both total and subscales compared to new graduate nurses. Conclusion: The Resuscitation Self-Efficacy Scale for nurses yields reliable and valid results in appraising the level of resuscitation self-efficacy for Korean nurses. Further study is needed to test and refine the scale.

• 산업기술연구
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• 제9권
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• pp.109-117
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• 1989

In the finite element analysis of semiconductor devices analysis, the solution often be diverged due to the numerical instability of discretized equations. To overcome this problems, a noble finite element code which guarantees a successful convergence is developed. The factor of divergence in the current continuity equation of semiconductor governing equations is derived using stability test and an adaptive mesh refine scheme is introduced to eliminates the divergence properties. A test calculation of GaAs MESFET model reveals that the proposed scheme has a robust self-convergence property and is suitable for the semiconductor devices analysis.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2023년도 제35회 한글 및 한국어 정보처리 학술대회
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• pp.648-653
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• 2023

관계 추출 태스크는 주어진 텍스트로부터 두 개체 간의 적절한 관계를 추론하는 작업이며, 지식 베이스 구축 및 질의응답과 같은 응용 태스크의 기반이 된다. 최근 자연어처리 분야 전반에서 생성형 거대 언어모델의 내재 지식을 활용하여 뛰어난 성능을 성취하면서, 대표적인 정보 추출 태스크인 관계 추출에서 역시 이를 적극적으로 활용 가능한 방안에 대한 탐구가 필요하다. 특히, 실 세계의 추론 환경과의 유사성에서 기인하는 저자원 특히, 제로샷 환경에서의 관계 추출 연구의 중요성에 기반하여, 효과적인 프롬프팅 기법의 적용이 유의미함을 많은 기존 연구에서 증명해왔다. 따라서, 본 연구는 한국어 관계 추출 분야에서 거대 언어모델에 다각적인 프롬프팅 기법을 활용하여 제로샷 환경에서의 추론에 관한 비교 연구를 진행함으로써, 추후 한국어 관계 추출을 위한 최적의 거대 언어모델 프롬프팅 기법 심화 연구의 기반을 제공하고자 한다. 특히, 상식 추론 등의 도전적인 타 태스크에서 큰 성능 개선을 보인 사고의 연쇄(Chain-of-Thought) 및 자가 개선(Self-Refine)을 포함한 세 가지 프롬프팅 기법을 한국어 관계 추출에 도입하여 양적/질적으로 비교 분석을 제공한다. 실험 결과에 따르면, 사고의 연쇄 및 자가 개선 기법 보다 일반적인 태스크 지시 등이 포함된 프롬프팅이 정량적으로 가장 좋은 제로샷 성능을 보인다. 그러나, 이는 두 방법의 한계를 지적하는 것이 아닌, 한국어 관계 추출 태스크에의 최적화의 필요성을 암시한다고 해석 가능하며, 추후 이러한 방법론들을 발전시키는 여러 실험적 연구에 의해 개선될 것으로 판단된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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• pp.142-144
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• 1993

In this study, a Self-learning Neural-Fuzzy Networks is presented, Because of the fuzzy controller property, the designing problems of fuzzy if-then rules, membership functions and inference methods are very complex task. Thus in this paper we proposed the Neural-Fuzzy Networks composed by Sugeno and Takagi's fuzzy inference method and learned by using temporal back propagation algorithm. The proposed method can refine automatically the fuzzy if-then rules without human expert's knowledges. The induction motor servo system is used to demonstrate the effectiveness of the proposed control scheme and the feasibility of the acquired fuzzy controller. All results are supported by simulation.

• 가정∙방문간호학회지
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• 제30권1호
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• pp.37-47
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• 2023

Purpose: This study aimed to develop an instrument that measured adherence to self-management among patients with hypertension, and to verify the validity and reliability of the developed instrument. Methods: The 34 indicators that underwent the content validity test were provided to 202 subjects for investigation The collected data were analyzed using SPSS Ver. 22.0 and Amos Ver. 25.0. Results: Five factors, 'interaction,' 'lifestyle change,' 'continuing motivation,' 'medical care', and 'weight control' were extracted, and the total cumulative variance was shown to be 61.75%. The test statistic of the regression coefficient was statistically significant according to the confirmatory factor analysis. Conclusion: It is suggested that more research is needed to generalize the instrument to suit more candidates, while continuing to refine the reliability and validity of the instrument.

• 간호행정학회지
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• 제21권4호
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• pp.375-385
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• 2015

Purpose: The purpose of this study was to identify the relationship of nurses' job performance with job embeddedness, self-leadership and social support and the role of self-leadership and social support in the relation between job embeddedness and job performance among general hospital nurses. Methods: The participants for this study were 244 nurses from 3 general hospitals in Seoul and Gyunggi Province. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, $Scheff\acute{e}$ test, Pearson correlation and Hierarchical Multiple Regression. Results: Job performance showed positive correlations with job embeddedness (r=.56, p<.001), self-leadership(r=.68, p<.001), organizational support (r=.30, p<.001), supervisors' support (r=.31, p<.001) and colleagues' support (r=.31, p<.001). Job embeddedness and self-leadership had significant influence on nurses' job performance. However self-leadership and social support did not show moderating effects of job embeddedness on nurses' job performance. Conclusion: These findings indicate that job embeddednes and self-leadership are important factors to enhance nurses' job performance. Therefore, promoting activities for job embeddedness and self-leadership might be a way to increase nurses' job performance. As there was no moderating effects of self-leadership and social support on job embeddedness and job performance, further studies are necessary to refine these findings in different environments.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.30-31
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• 2016

As the treatments of many kinds of explosive objects increase recently, it is in the trend that explosion accidents increase. Thus, many studies on HPFRCC (High-performance Fiber-reinforced Cement Composites) whose ductility is enhanced are being conducted actively in order to minimize the damages from explosion accidents. However, HPFRCC, the self-shrinkage of HPFRCC is on the rise as a problem since it becomes ultra-high strengthened by using low W/B. Thus, in this study, it is intended to evaluate the capacity for reducing the self-shrinkage of HPFRCC depending on some changes of ERCO(Emulsified Refined Cooking Oil) replacement ratio and the fiber replacement ratio between some short steel fibers (SS) and some long organic fibers (OL). As a result, it was found that some excellent effects are exerted since the self-shrinkage was reduced a lot as the ERCO replacement ratio increases and the fiber replacement ratio of SS rather than OL increases.

• 실천공학교육논문지
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• 제12권1호
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• pp.73-83
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• 2020

최근 공교육, 사교육, 평생교육, 직업훈련교육 분야에서 지식전달 위주의 주입식 교육방식에서 학습자들이 능동적으로 지식에 대처할 수 있는 자기주도학습에 대해 중요성이 대두되고 있으며, 이는 사회변화에 따라 요구되는 인재상으로 스스로 자아개념, 자신감, 창의성을 발견하고 계발시키는 학습 방법으로 더욱 중요해지고 있다. 하지만 자기주도적 학습에 대한 개념 및 전략 등 다양한 이론적 지식들이 존재하고 있지만, 실제 자기주도학습 운영계획 또는 학습 분야에 따라 학습자가 원하는 학문 분야의 콘텐츠를 손쉽게 제공받는 시스템에 대해 부족한 상황이다. 따라서 본 논문에서는 학습자가 자기주도적 학습을 위한 다양한 학습 콘텐츠를 제공받기 위해 정보를 획득하고 의미를 정제하여 범주화 할 수 있는 텍스트 마이닝 기법을 활용하여 온라인상에서 학습자가 습득하려고 하는 학문 분야의 다양한 콘텐츠를 제공하는 시스템을 설계하고 활용하는 방안에 대한 연구를 수행하였다.