• Journal of the korean Society of Automotive Engineers
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• v.11 no.2
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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.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.3
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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.

• Journal of Korean Academy of Nursing
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• v.42 no.7
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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.

• Journal of Industrial Technology
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• v.9
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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.

• Annual Conference on Human and Language Technology
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• 2023.10a
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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.

• Proceedings of the KIEE Conference
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• 1993.11a
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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.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.30 no.1
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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.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.4
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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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.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.73-83
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• 2020

Recently, the importance of self-directed learning has emerged in the fields of public education, private education, lifelong education, and vocational training education, in which learners can actively cope with knowledge in an infusion-oriented way. However, there are various theoretical knowledge such as concepts and strategies for self-directed learning, but the situation is insufficient for a system where learners can easily receive content in the academic field they want, depending on the actual self-directed learning operation plan or learning area. Therefore, since it is important to provide various learning content in this paper, we utilize text mining techniques to obtain appropriate information and refine and categorize the meaning. On-line, they want to study a system that provides a variety of content in the academic field that learners are trying to acquire.