• 동의신경정신과학회지
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• 제31권4호
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• pp.289-299
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• 2020

Objectives: The aim of this study is to investigate current research trends of Four Pillars of Destiny and verify its values and potential in the counselling scene, as the Four Pillars of Destiny's territory has been expanding to counselling, medical and psychiatric realm nowadays. Methods: The studies were searched from psychotherapy to general consultation, directly or indirectly related to counseling and Four Pillars of Destiny. Twenty-one published research studies were selected for analysis. The studies were categorized into 7 groups, meta-analysis, comparison with other personality tests, user's trend analysis, utilization in job counseling, disease prediction study, utilization in treatment counseling, and use in Korean medicine. Results: The selected studies attempted to expand Four Pillars of Destiny's usage through combination with other fields such as artificial intelligence, Korean medicine, and personality test. Furthermore by analyzing Four Pillars of Destiny itself to extract its key elements in counseling, such as therapeutic counseling factors and occupational counseling factors. Conclusions: At present, there are no standard use of Four Pillars of Destiny in counseling scene, for no large-scale research has been conducted or completed on this subject. This current status quo leads this paper to end up just understanding the counseling factors and possibilities of Four Pillars of Destiny rather than its psychological theory and clinical effect. However, this research trend analysis will be helpful in preparing future studies investigating Four Pillars of Destiny's counseling effect, application in the counseling scene and its psychological theory. Also, further studies, including confirmation of the theory through the operational definition, prospective research, control study, statistical technique are required in order to evaluate Four Pillars of Destiny's psychological theory and its effects to verify its use in clinical scenes.

• 문화기술의 융합
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• 제8권6호
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• pp.389-395
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• 2022

본 연구는 성인대학생의 핵심역량모형을 개발하는 것을 목적으로 한다. 이를 위해 국내외 문헌연구를 분석하여 성인대학생의 핵심역량을 도출하였으며, 핵심역량의 타당성을 위하여 델파이 조사를 하였다. 이를 위해 SPSS 18.0 프로그램을 이용하여 분석하였다. 연구결과는 의사소통, 문제해결 및 메타, 대인관계, 자기관리·개발, 디지털 정보 문해, 전공지식, 시민의식, 융합, 인성, 전문직업과 글로벌로 총 11개의 성인대학생 핵심역량이 도출되었다. 성인대학생의 핵심역량모형은 델파이 조사의 결과를 바탕으로 01~11의 번호를 부여하여 개발하였다. 성인대학생의 핵심역량은 서로 유기적으로 연계되어 있어 하나의 핵심역량의 함양은 다른 핵심역량에도 영향을 미치는 것으로 나타났다.

• 지능정보연구
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• 제17권3호
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• pp.131-146
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• 2011

오늘의 글로벌 네트워크 비즈니스 환경에서 비서직 종사자들에게 신속 정확한 정보수집 능력과 올바른 판단력은 그 어느 때보다 필요한 역량으로 중시되고 있다. 비서직 업무 수행에 필요한 대부분의 지식은 체험지 혹은 경험지이기 때문에 비서가 주어진 문제를 해결하기 위해서 과거의 비슷한 사례를 참고하는 방법은 매우 타당한 것이며, 경험이나 선례를 적용함으로서 실패할 요인을 줄이고 문제 해결의 질을 높이는 동시에 시간을 단축시킬 수 있다. 본 연구에서는 비서 업무 수행 시 특정 문제 해결에 필요한 정보를 사례기반 추론에 근거하여 현재 문제와 가장 유사한 과거의 사례를 추천하는 시스템(COKRS : Case-based reasoning Office Knowledge Recommender System, 이하 COKRS)을 설계하고 프로토타입을 구축함을 목적으로 한다. 본 연구 결과인 COKRS는 비서직에서 뿐만 아니라 일반 사무영역에서의 지식관리 목적으로도 확대 이용 될 수 있을 것이다.

• 재활간호학회지
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• 제1권1호
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• pp.61-71
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• 1998

Defining prediction variables related to metamemory for the adults in aging process has worthwhile meaning from the perspective that the produced results can be helpful to reducing the difficulty of memorizing efforts and it can also enhance quality of life of aged. This study attempted to analysis relationship between perceived health status, depression, memory self-efficacy and meta memory for the subjects of middle age and old age adults. This study was designed by adopting descriptive correlational analysis method for the 468 middle and old age adults who are living in Seoul. Samples were selected by convenience sampling. Data collection was done over 1 month period in june 1998. The instruments used in this study were health status measuring scale including depression measuring scale, memory self efficacy measuring scale and metamemory measuring scale which were verified for reliability. Data collected were analized by using SPSS for frequency, Peason correlation, t-test and ANOVA according to the variables character and the study purposes. Results of the study were as follows. 1. Relationship between perceived health status, depression, memory self-efficacy and metamemory. Relational analyses between perceived health status, depression, memory self-efficacy and metamemory supported the hypotheses of 1st, 2nd and 3rd(p < .01). These results suggested that the aged perceived great health status then their memory self-efficacy, and metamemory showed the high scores. In the case of depression when its level became decreased metamemory was inclined to increased. Thus, it is identified that strong relationship exists between these variables. 2. Perceived health status, depression, memory self-efficacy by subject's general characteristics. Scores of perceived health status were high in the group of man compared to the group of women, and also highly educated group showed great perceived health status. Group of persons having occupation showed high score of perceived health status and low depression score. The score of memory self-efficacy and metamemory showed higher in the middle aged than the old aged. The high scores of memory self-efficacy and metamemory were found in the group of highly educated people and who have continuing education. The high scores of memory self-efficacy were found in the group of persons having their job and high metamemory scores found in the group of persons having religion. In summary, the greater perceived health status and memory self-efficacy, the more metamemory scores were likely increased and the more depression level was decreased, the more metamemory was likely increased. Also it was found that general characteristics like educational level, continuing education and religion influenced the metamemory of the aged. Therefore, prevention the aged from getting depression and activation of health promotion are needed to delay time of memory loss.

• 한국인터넷방송통신학회논문지
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• 제23권5호
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• pp.151-158
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• 2023

NP-난제로 다항시간으로 최적 해를 찾는 알고리즘이 제안되지 않고 있는 일반화된 배정 문제에 대해 기존에는 전적으로 메타휴리스틱 기법들에 치중하여 연구가 진행되었다. 반면에, 본 논문에서는 해를 찾아가는 규칙을 가진 휴리스틱 탐욕 알고리즘을 제안한다. 첫 번째로, m대의 기계(용기)에 n개의 작업(물품)을 담을 수 있도록 l = n/m개가 되도록 각 기계의 용량 b_i에 대해 가중치 w_ij ≤ b_i/l 데이터로 축소시킨다. 축소된 데이터들을 대상으로 각 작업의 최대 이득 작업을 해당 기계에 배정하였다. 두 번째로, 각 기계에 배정된 가중치 합이 기계 용량을 초과하지 않도록 배정을 조정하였다. 마지막으로 이득을 최대화시키기 위해 k-opt 교환 최적화를 수행하였다. 제안된 알고리즘을 50개 벤치마킹 데이터들에 적용한 결과 약 1/3 데이터에 대해서는 알려진 최적 해를 찾을 수 있었으며, 나머지 2/3 데이터에 대해서는 메타휴리스틱 기법들과 견줄만한 결과를 보였다. 따라서 제안된 알고리즘은 GAP에 대해 다항시간으로 해를 찾아가는 규칙이 존재할 가능성을 보여 NP-난제에서 P-문제로 될 수 있음을 실험을 통해 증명하였다.