• 디지털융복합연구
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• 제17권7호
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• pp.317-329
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• 2019

요즘 들어, 사진이나 이미지 중심의 소셜 네트워킹 서비스인 인스타그램은 학계와 업계의 주목을 받고 있다. 이러한 관심에도 불구하고 소비자들이 이 서비스를 사용하도록 유도하는 사회적, 심리적 요인에 대해서는 거의 알려진 바가 없다. 이러한 상황 속에서, 본 연구는 인스타그램 사용자에 대한 기본적인 이해를 제공하기 위해 250명의 참가자를 대상으로 인스타그램 사용자들에게서 나타나는 완벽주의적 자기제시 성향과 그 하위 요소를 찾아내고, 또한 이들과 인스타그램 사용의도 변수와의 관계를 탐구하였다. 그리고 자기 효능감과 자아 해석의 조절효과에 대해서도 살펴보았다. 이를 위해, 총 380명의 참가자를 예측된 가설과 연구문제를 검증하기 위해 모집하였다. 연구결과에 따르면 완벽주의적 자기제시는 다섯 가지 하위 요소인 타인의식적 자기제시, 주관적 자기제시, 환경적응적 자기제시, 자아 확장적 자기제시, 사회적 자기제시 등을 포함하고 있음을 확인하였다. 또한, 이러한 다섯 가지 요소를 지닌 완벽주의적 자기제시가 자기 효능감과 자아 해석의 조절효과를 통하여 인스타그램 사용의도에 긍정적인 영향을 미친다는 것을 밝혀냈다. 이러한 연구결과를 바탕으로 본 연구의 함의가 논의되었다.

• 한국간호교육학회지
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• 제26권2호
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• pp.176-184
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• 2020

Purpose: We explored emergency nurses' experiences of coping with moral distress. Methods: A qualitative research design was used. We conducted in-depth interviews with 11 nurses working at a regional emergency medical center in South Korea. Data were analyzed using conventional content analysis. Results: The main theme of nurses' coping with moral distress was "a passive emotion-based response." We also extracted three categories of coping strategies: "uncritical adaptation to anguished situation," "self-justification for not acting," and "flight from ethical decision making." Conclusion: Nurses coped with moral distress in a passive and emotional way, possibly because of perceived incompetence and compliance to an organizational hierarchy. The findings imply that effective approaches to addressing moral distress in emergency nurses are needed at the individual and organizational levels.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권1호
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• pp.65-69
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• 2002

The main drawback of “classical”fuzzy systems is the inability to design and maintain their database. To overcome this disadvantage many types of extensions adding the adaptivity property to those systems were designed. This paper deals with one of them a new hybrid adaptation structure, called gradient-incremental adaptive fuzzy controller connecting gradient-descent methods with the so-called self-organizing fuzzy logic controller designed by Procyk and Mamdani. The aim is to incorporate the advantages of both Principles. This controller was implemented and tested on the system of LEGO robots. The results and comparison to a ‘classical’(non-adaptive) fuzzy controller designed by a human operator are also shown here.

• 대한가정학회지
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• 제40권1호
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• pp.23-35
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• 2002

The purpose of this study was to examine the personal, familial, school and peer characteristics related to adolescents' runaway drive. The 259 subjects were selected from high school student in the city of Daegu. The major findings of study were as follows: 1. In respect of personal characteristics, the more runaway drive was, the lower self-esteem was and the higher anxiety, depression, and impulsive mind was. 2. In respect of familial characteristics, the more runway drive was, the lower family cohesion and family adaptation was and the higher the degree of parents' rejection was. And the higher runway drive was, the higher degree of child abuse and interparental conflict. 3. In respect of school characteristics, the more runway drive was, the lower school adaptation was. 4. In respect of peer characteristics, the more runway drive was, the higher degree of delinquency of peer.

• 대한가정학회지
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• 제36권10호
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• pp.89-102
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• 1998

As a quality of dyadic relationships in the family, individuation refers to the interplay between the connectedness and separateness of family members. The aims of this study were: 1) to develop of the newly measure of Korean late adolescent's individuation; 2) to examine the reliability and validity of the newly developed measure. 435(165 male, 270 female) college students completed the Korean Late Adolescent Individuation Questionnare(KLAIQ), and Korean version of the Student Adaptation to College Questionnaire(SACQ), and Korean version of the Student Adaptation to College Questionnaire(SACQ). Using exploratory factor analysis and confirmatory factor analysis three subdimensions of individuation were identified: Connectedness(7items), Self-confidence(5 items), and Parent control(4 items). A total 16 items of the KLAIQ were found to have acceptable reliability and face and construct validity. A total 16 items of the KLAIQ were found to have acceptable reliability and face and construct validity. Scale scores from the KLAIQ correlated in the predicted pattern with the SACQ. Individuated students demonstrated the highest college adjustment scores while ambiguous students yielded the lowest. Therefore, it would appear that the KLAIQ can adequately measure individuation in Korean late adolescence.

• Advances in Computational Design
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• 제1권3호
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• pp.275-296
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• 2016

This article presents an adaptive directional differential evolution (ADDE) algorithm and its application in solving discrete sizing truss optimization problems. The algorithm is featured by a new self-adaptation approach and a simple directional strategy. In the adaptation approach, the mutation operator is adjusted in accordance with the change of population diversity, which can well balance between global exploration and local exploitation as well as locate the promising solutions. The directional strategy is based on the order relation between two difference solutions chosen for mutation and can bias the search direction for increasing the possibility of finding improved solutions. In addition, a new scaling factor is introduced as a vector of uniform random variables to maintain the diversity without crossover operation. Numerical results show that the optimal solutions of ADDE are as good as or better than those from some modern metaheuristics in the literature, while ADDE often uses fewer structural analyses.

• 제어로봇시스템학회논문지
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• 제13권11호
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• pp.1033-1039
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• 2007

In this paper, we design a terminal sliding mode controller based on self-recurrent wavelet neural network (SRWNN) for the second-order nonlinear systems with model uncertainties. The terminal sliding mode control (TSMC) method can drive the tracking errors to zero within finite time in comparison with the classical sliding mode control (CSMC) method. In addition, the TSMC method has advantages such as the improved performance, robustness, reliability and precision. We employ the SRWNN to approximate model uncertainties. The weights of SRWNN are trained by adaptation laws induced from Lyapunov stability theorem. Finally, we carry out simulations for Duffing system and the wing rock phenomena to illustrate the effectiveness of the proposed control scheme.

• 대한기계학회논문집
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• 제18권8호
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• pp.1939-1951
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• 1994

This study introduces a new tool breakage detecting technology comprised of an unsupervised neural network combined with adaptive time series autoregressive(AR) model where parameters are estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(Recursive Least Square). Experiment indicates that AR parameters are good features for tool breakage, therefore it can be detected by tracking the evolution of the AR parameters during milling process. an ART 2(Adaptive Resonance Theory 2) neural network is used for clustering of tool states using these parameters and the network is capable of self organizing without supervised learning. This system operates successfully under the wide range of cutting conditions without a priori knowledge of the process, with fast monitoring time.

• 한국정밀공학회지
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• 제31권4호
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• pp.287-295
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• 2014

Smart manufacturing (SM) considered as a new trend of modern manufacturing helps to meet objectives associated with the productivity, quality, cost and competiveness. It is characterized by decentralized, distributed, networked compositions of autonomous systems. The model of SM is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee's foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and self-healing. To prove this concept, a cloud machining system is considered as research object in which internet of things and cloud computing are used to integrate, organize and allocate the machining resources. Artificial life tools are used for cooperation among autonomous elements in the cloud machining system.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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• pp.847-849
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• 2002

인공면역시스템에서 중요한 특징중의 하나는 지속적으로 변화하는 환경에서 자기(self)의 유동적인 패턴을 동적으로 학습하고 비자기(non-self)에 대한 새로운 패턴을 예측하는데 있다. 본 논문은 자기적 용(self-adaptation)의 인공면역체계 특성을 기반으로하여 설계된 dynamics(동적 클론선택 알고리즘, dynamic clonal selection algorithm)의 역할을 논한다. 시스템의 세가지 중요한 변수인 자기내성 기간(Tolerisation Period). 연역 반응 임계값(activation threshold). 수명(life span)에 따라 변화하는 dynamics의 성능을 네트워크 침입에서 흔히 발견되는 시나리오를 모의실험하여 평가한다