• 한국국방경영분석학회지
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• 제31권1호
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• pp.93-106
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• 2005

The complexity of modern weapon systems using the IT(intelligence technology) demands that rapid and effective transition from force requirements to deployment and fielding. Thus this paper deals with the DT&E(developmental test & evaluation), OT&E(operational test & evaluation) and SBT(simulation based test) procedure using the case study in the test & evaluation of weapon systems. This study is aimed to produce the effective test & evaluation method of weapon systems in the change of acquisition environment.

• 대한소아치과학회지
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• 제21권2호
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• pp.456-462
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• 1994

The purpose of this study was to investigate the relationship between the caries experience and anxiety level to the dentist in the preschool children. 511 preschool children were brought to the dental hospital and examined for caries experience. Caries experience was measured as dDT index, fFT index, dDfFT index, dDT rate, and fFT rate. Children were requested to draw a dentist. Drawings were analyzed by the method of Human Figure Drawing Anxiety Score. Pearson correlation coefficents and their significance were calculated between caries experience and anxiety scores. There were significant negative correlation between fFT index and anxiety scores, between dDfFT index and anxiety scores, and between fFT rate and anxiety scores. There was significant positive correlation between dDT rate and anxiety scores. The results seemed to suggest that dental treatment experience reduced children's anxiety toward dentists. But, because there was obvious negative correlation between age and anxiety scores, age factor should be considered in the interpretation of the results.

• 한국정보처리학회논문지
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• 제5권7호
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• pp.1759-1773
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• 1998

본 논문에서는 C++ 프로그램의 유지보수를 지원하는 도구를 개발하였다. C++-MT라고 명명된 본 도구는 기존의 연구 결과인 복잡도 측정 도구(CT)와 프로그램 시각화 도구(VT)에 본 논문의 연구 결과인 프로그램 문서화 지원 도구(DT)와 객체지향 설계 및 프로그램망 스타일 지침 지원 도구(OOD/P-GT)를 추가함으로써 확장되었다. 확장ㅇ르 위해 먼저 객체 지향 프로그램의 문서화 방법을 연구하였으며, 기존의 몇몇 연구들에서 제안한 객체지향 설계 및 프로그래밍 스타일 지침들을 여러 가지 관점엣 분석하고 분류하였다. 본 논문에서 개발한 문서화 지원 도구는 프로그램의 이해, 변경, 테스트, 그리고 재사용 성분 추출을 용이하게 하며, 객체지향 설계 및 프로그래밍 스타일 지침 지원도구는 프로그램의 품질을 향상시킬 수 있도록 안내한다.

• Physical Therapy Rehabilitation Science
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• 제10권4호
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• pp.406-413
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• 2021

Objective: The purpose of this study was to investigate effects of taping technique applied to knee instability. Design: Cross sectional study. Methods: Twenty-six participants with knee instabilityparticipated in this study. They were randomly assigned to the Kinesio taping (KT) group (n=13) and the dynamic taping (DT) group (n=13). Both groups applied knee stabilization taping techniques. In order to compare the effects of each taping technique, the change in the landing error scoring system (LESS) and lower extremity joint angle wasrecorded before and after the intervention. Results: Both groups significantly decreased in the change before and after the LESS (p<0.05). At the joint angle of the lower extremities, KT group significantly reduced the valgus angle at the max knee flexion (p<0.05). In DT group knee joint flexion and hip joint flexion angles were significantly increased at foot contact (p<0.05). In max knee flexion, the knee joint flexion angle was significantly increased (p<0.05). In foot contact, max knee flexion, the knee joint valgus angle was significantly increased (p<0.05). DT group showed more significant changes in knee joint flexion angle at foot contact and hip joint flexion angle at max knee flexion. Conclusions: Dynamic taping is a clinically applicable intervention method for lowering the risk of non-contact injury in participants with knee instability and for knee stability during rehabilitation exercises.

• Journal of Electrical Engineering and Technology
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• 제11권1호
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• pp.65-75
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• 2016

Aiming at analyzing the power flow of the distribution systems with distribution transformer (DT) branches and PV nodes, a hybrid three-phase power flow methodology is presented in this paper. The incidence formulas among node voltages, loop currents and node current injections have been developed based on node-branch incidence matrix of the distribution network. The method can solve the power flow directly and has higher efficiency. Moreover, the paper provides a modified method to model DT branches by considering winding connections, phase shifting and off-nominal tap ratio, and then DT branches could be seen like one transmission line with the proposed power flow method. To deal with the PV nodes, an improved approach to calculate reactive power increment at each PV node was deduced based on the assumption that the positive-sequence voltage magnitude of PV node is fixed at a given value. Then during calculating the power flow at each iteration, it only needs to update current injection at each PV node with the proposed algorithm. The process is very simple and clear. The results of IEEE 4 nodes and the modified IEEE 34 nodes test feeders verified the correctness and efficiency of the proposed hybrid power flow algorithm.

• 한국의류학회지
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• 제29권8호
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• pp.1136-1145
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• 2005

The objective of this study was to determine factors affecting sun protective behavior and intention to buy UV protective clothing among outdoor sport persons in Korea. A self-administered questionnaire was distributed to mountain climbers, bikers and in-line skaters with a convenience sampling method. Two theoretical frameworks, health belief(HB) model and diffusion theory(DT) were used for the study. Based on HB model, sun protection behaviors(SPBs) were associated with cancer perception, perceived benefits, behavioral barriers and cues to actions based on the HB model. Based on DT model, intention to buy (ITB) was determined by an individual's perceived attributes of UV protective shirt. Appearance concern variables were added to the extended HB model. The extended DT model was proposed by adding the variables in the HB model and variables of appearance concern. Multiple regression analysis was applied. Results were as follows. First, perceived benefits, behavioral barriers, cues to action, and all three appearance concern variables as well as gender and age were significant determinants of SPB for Korean outdoor consumers. Second, relative advantage, compatibility, friability, behavioral barriers and cues to action with some appearance concern variables were significant in affecting intention to buy UV protective clothes. Extended HB model and extended DT model were useful to understand SPBs of Korean outdoor consumers.

• 조명전기설비학회논문지
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• 제20권3호
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• pp.36-44
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• 2006

일반적으로 PWM인버터에 발생된 고조파와 노이즈는 스위칭 주파수, dv/dt와 di/dt, PWM 스위칭 방법에 의해 영향을 받는다. 멀티레벨 인버터가 고전력 시스템에 적용되어 낮은 주파수에서 동작할 때 이것은 큰 고조파 성분과 노이즈를 발생하게 된다. 따라서 멀티레벨 인버터에 출력 필터가 요구된다. 본 논문에서는 H-bridge 7레벨 인버터 시스템을 사용한 3상 유도 전동기 구동 시스템의 고조파와 노이즈 감소를 위해 출력 필터를 설계하였다. 가격이 저렴하고 간단한 구조를 가지며, 고조파와 노이즈를 효과적으로 감소시킬 수 있는 수동필터는 멀티레벨 인버터 시스템을 사용한 3상 유도전동기 구동시스템에 적용되었다. 설계된 시스템은 향상되었고, 시뮬레이션과 실험을 통해 그 타당성을 증명하였다.

• 한국멀티미디어학회논문지
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• 제8권9호
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• pp.1195-1207
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• 2005

본 논문에서는 기하 위상 정보를 이용한 영상 정합 기법에 관해 기술한다. 기존의 특징 점 기반 대응점 검색 기법들이 주로 평행 이동 형 형태나 약간의 회전 및 상하 이동요소가 포함된 영상만을 처리하는 것과 달리 큰 회전이나 상하이동요소가 포함된 입력영상들의 정화한 중첩영역을 자동으로 빠르게 검색하는 방법을 제안한다. 제안한 방법은 영상내의 특징 점들의 기하 위상 정보와 특징점 사이의 거리 정보를 가지는 DT(Distance Transform) map을 이용하여 정합 위치를 찾기 위한 계산 량을 크게 감축시키고 특히 회전이나 상하 이동요소가 포함된 영상들 간의 정합영역을 검색하는데 있어서 좋은 성능을 나타낸다.

• 지능정보연구
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• 제16권4호
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• pp.99-112
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• 2010

앙상블 학습은 분류 및 예측 알고리즘의 성과개선을 위하여 제안된 기계학습 기법이다. 그러나 앙상블 학습은 기저 분류자의 다양성이 부족한 경우 다중공선성 문제로 인하여 성과개선 효과가 미약하고 심지어는 성과가 악화될 수 있다는 문제점이 제기되었다. 본 연구에서는 기저 분류자의 다양성을 확보하고 앙상블 학습의 성과개선 효과를 제고하기 위하여 유전자 알고리즘 기반의 범위 최적화 기법을 제안하고자 한다. 본 연구에서 제안된 최적화 기법을 기업 부실예측 인공신경망 앙상블에 적용한 결과 기저 분류자의 다양성이 확보되고 인공신경망 앙상블의 성과가 유의적으로 개선되었음을 보여주었다.

• Journal of Information Processing Systems
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• 제9권3호
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• pp.349-364
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• 2013

The big challenge in current content-based image retrieval systems is to reduce the semantic gap between the low level-features and high-level concepts. In this paper, we have proposed a novel framework for efficient image retrieval to improve the retrieval results significantly as a means to addressing this problem. In our proposed method, we first extracted a strong set of image features by using the dual-tree rotated complex wavelet filters (DT-RCWF) and dual tree-complex wavelet transform (DT-CWT) jointly, which obtains features in 12 different directions. Second, we presented a relevance feedback (RF) framework for efficient image retrieval by employing a support vector machine (SVM), which learns the semantic relationship among images using the knowledge, based on the user interaction. Extensive experiments show that there is a significant improvement in retrieval performance with the proposed method using SVMRF compared with the retrieval performance without RF. The proposed method improves retrieval performance from 78.5% to 92.29% on the texture database in terms of retrieval accuracy and from 57.20% to 94.2% on the Corel image database, in terms of precision in a much lower number of iterations.