• 방송공학회논문지
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• 제18권3호
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• pp.481-490
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• 2013

본 논문에서는 실제 전장에서 전투수행 중인 병사의 개인화기 조준 능력 향상 관점에서 추적기법의 성능평가를 하였다. 실제 전장에서는 짧은 시간동안 전투를 하는 것뿐만 아니라 며칠에 걸쳐서 실시되는 경우도 있다. 이와 같이 장시간 지속되는 작전 중에서 다양한 요소에 의해서 지속적으로 병사의 신체능력이 감소된다. 이렇게 손실되는 신체능력을 보완하기 위하여 시각추적 기술을 화기의 조준경에 적용하여 적 병사 이동상황을 자동적으로 추적하고 이로 인해 감소된 조준능력을 향상시키기 위한 실험을 하였다. 최신영상 추적 기법들 중에서 최적의 것을 결정하기 위하여, 겹침 현상, 카메라 이동, 크기변화, 저대비 영상, 조명변화 등의 특징이 포함된 여러 실제 전장 영상으로 그 성능을 평가하였다. VTD (Visual Tracking Decomposition)[2]가 정확도에서 IVT (Incremental learning for robust Visual Tracking)[7]가 속도 평가에서 가장 우수하였으며 종합적으로는 MIL (Multiple Instance Learning)[1]이 가장 우수한 결과를 보여 주었다. 이러한 성능평가 결과는 시각추적기술이 적용된 조준경이 실제 전장에서 전투수행을 하면서 신체능력이 감소된 병사의 전투력을 보완할 가능성이 있다는 것을 보여 준다.

• 한국군사과학기술학회지
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• 제10권2호
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• pp.12-20
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• 2007

The aiming ability is a key to improve the accuracy performance of the gun pointing system in the ground military vehicle. This paper describes the new detection method of chatter vibration using disturbance acceleration in the pointing structure. In order to analysis the vibration trends of the pointing system occurred while the vehicle driving, acceleration data obtained from vehicle was processed by using data processing algorithm with moving average and Hilbert transform. The specific mode constants of acceleration were obtained from various disturbances. Vehicle velocity, road condition and property of pointing structure were considered as factors which make the change of vibration trend in vehicle dynamics. Finally, back propagation neural networks have been applied to the pattern recognition of the classification of vibration signal in various driving conditions. Results of signal processing were compared with other condition result and analysed.

• 한국추진공학회지
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• 제11권2호
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• pp.62-70
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• 2007

지향성능은 발사차량의 정확성에 있어서 중요한 요소이다. 본 연구는 외란 가속도를 이용하여 지향구조물의 진동을 감지하는 방안과 실험 결과에 대하여 기술하였다. 주행 중 발생하는 진동 경향을 분석하기 위하여 가속도 자료를 이동평균과 힐버트 변환을 이용하여 신호 처리하였다. 다양한 외란에 대하여 가속도의 모드 계수를 얻었으며, 차량속도, 노면조건, 지향구조물의 특성을 차량 동특성의 진동을 변화시키는 요소로 간주하였다. 마지막으로 다양한 주행 조건의 진동 신호를 분류하기 위한 패턴인식에 역전파 신경망 이론을 이용하였다. 각 조건에 대하여 실험 결과를 비교 분석하였다.

• 공학교육연구
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• 제22권6호
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• pp.64-73
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• 2019

The purpose of this study is to explore characteristics of engineering students' Interpersonal Problems, Emotional Clarity, and Empathic Ability compared with humanities and social sciences students. A total of 739 college students participated in the study (459 enginerring students and 280 humanities and social sciences students). We tested research question by employing the t-test. The result showed that engineering students have higher level of clarity of feelings, perspective taking, empathic concern and lower level of attention to feelings, personal distress than humanities and social sciences students. Moreover, engineering students showed lower level of cold, socially avoidant, exploitable problems than humanities and social sciences students. We dicussed that programs aiming at developing engineering students' emotional awareness and improving their interpersonal relationships should be provided.

• 한국학교수학회논문집
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• 제16권4호
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• pp.655-674
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• 2013

현재의 학업성취도 평가가 직업교육이 목적인 특성화고에 적절치 못하다는 현장의 요구를 수용하여 교육과학기술부(2012)는 2013년부터 특성화고 학생의 직업역량 강화를 위해 직업기초능력평가를 도입하기로 하였다. 이 평가의 결과는 인증서로 제공되어 취업 과정에 활용될 수 있게 된다. 이에 본 연구의 목적은 특성화고 학생들의 기초학력을 신장시키고 나아가 이후 학생들이 직업 세계에 적응할 수 있도록 지원하는 수학학습 지원 자료를 개발하는 데 있다. 특성화고 학생들은 수학 기초학력 부족으로 직업기초능력평가에 어려움이 많을 것으로 보여, 이 학생들의 잠재력이 최대한 발휘될 수 있도록 효율적인 수학학습이 이루어져야 할 것이다. 이를 위해 초등학교에서 중학교 3학년까지 수학과 교육과정 지도 내용에서 이후 특성화고 학생들에게 요구되는 수리 활용 능력 학습 요소를 추출하였다. 이를 근거로 내용 영역별 단계 및 하위 레벨을 구성하고, 해당 학습 요소를 구성하여 내용 영역별 학습 요소를 체계화하여 직업기초능력을 향상시킬 수 있는 수리 활용 능력 향상을 위한 프로그램을 개발하였다.

• 영어어문교육
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• 제7권1호
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• pp.1-19
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• 2001

The current status of in-service teacher development shows that teachers' awareness can be enhanced through critical reflection. This study shows how an English teacher improved her own teaching situation through action research. It reports back the action research the teacher-researcher carried out in the EFL classroom setting. Aiming to improve the pupils' English speaking ability, the teacher introduced 'Task-based Language Teaching (TBLT)' to the English class. The teacher and the pupils took part in the evaluation process of learning and teaching. It was found that the new approach to teaching speaking helped the pupils improve speaking ability and take an active role in learning process. It is further suggested that teacher-initiated action research can be done in collaboration with colleagues, administrators and researchers.

• 한국직업건강간호학회지
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• 제6권1호
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• pp.53-71
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• 1997

Across sectional study was performed to evaluate the chronic effects on central nerve system(CNS) of cumulative exposure of complex organic solvents, using neurobehavioral test. Subjects were 66 (male) dock yard painters of some large ship industry which is located in Ulsan. The neurobehavioral test battery used in this study was NCTB (Neurabehavioral Core Test Battery recommended by WHO(World Health Organization), which consisted of 7 items-Profile of mood states (POMS), Simple reaction time, Santa Ana dexterity test. Digit span, Digit symbol, Benton visual retention test and Pursuit aiming. The subjects were classified by 3 groups according to duration of employment(group 1 ; less than 9 years, group 2 ; 10-14 years, group 3 ; more than 15 years). The results of performance were analyzed considering of work duration, age, educational level, alcohol drinking, smoking and testing time as confounding factors. Benton visual retention test, pursuit aiming correct dot and sum of dot showed significant differences among the groups, and decreased with increasing work duration. It indicated that the mean scores of performance ability were lowering according to work duration. Besides, the tests that didn't show statistical significances but showed linear trends were depression-dejection, vigor, fatigue of POMS, slowest time of simple reaction time and digit span forward. Most of the neurobehavioral test items were correlated with age and educational level. After controlling of confounding factors-age and educational level, the results followed ; digit span backward was different significantly. Tension-anxiety, depression-dejection, anger-hostility of POMS, SD and slowest time of simple reaction time, Santa Ana dexterity test non-preferred hand, digit span forward, Benton visual retention test and pursuit aiming correct dot decreased with increasing of work duration. The correlation analysis was done in order to find out the relationship between subjective symptom and the scores of neurobehavioral core test battery. According to the results of analysis there were no items that had statistical significant relationship(p<0.05).

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.1-11
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• 2017

Our society has changed from an industrial society to a knowledge - based society, and the need for new knowledge creation activities through the convergence of various knowledge is emphasized. In accordance with these changes, universities aiming at nurturing human resources for society have sought new approaches and changes. The discussion of various curriculum for the future talent training in the university is aimed at the goal of developing problem solving ability irrespective of the subject of education or major. In this study, we tried to show that computational thinking ability can be improved by strengthening creative team activities by combining design thinking method in computer curriculum of general education course of university. To do this, we conducted a design thinking team project for students of computer general education course at G university in Gyeongnam province and conducted a survey. The results of the questionnaire were verified by statistical methods. The variables of this study satisfied both the validity and the reliability. Multiple regression analysis showed that knowledge sharing, team activity satisfaction, and design thinking project satisfaction factors all affect computing thinking ability.

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1265-1274
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• 2018

This paper proposes a virtual flux (VF) and positive-sequence power based control strategy to improve the performance of grid-interfaced three-phase voltage source converters against unbalanced and distorted grid conditions. By using a second-order generalized integrator (SOGI) based VF observer, the proposed strategy achieves an AC voltage sensorless and grid frequency adaptive control. Aiming to realize a balanced sinusoidal line current operation, the fundamental positive-sequence component based instantaneous power is utilized as the control variable. Moreover, the fundamental negative-sequence VF feedforward and the harmonic attenuation ability of a sequence component generator are employed to further enhance the unbalance regulation ability and the harmonic tolerance of line currents, respectively. Finally, the proposed scheme is completed by combining the foregoing two elements with a predictive direct power control (PDPC). In order to verify the feasibility and validity of the proposed SOGI-VFPDPC, the scenarios of unbalanced voltage dip, higher harmonic distortion and grid frequency deviation are investigated in simulation and experimental studies. The corresponding results demonstrate that the proposed strategy ensures a balanced sinusoidal line current operation with excellent steady-state and transient behaviors under general grid conditions.

• Journal of the Korean Physical Society
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• 제73권11호
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• pp.1644-1649
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• 2018

Aiming at infrared thermal images with different buried depth defects, we study a variety of image segmentation algorithms based on the threshold to develop global search ability and the ability to find the defect area accurately. Firstly, the iterative thresholding method, the maximum entropy method, the minimum error method, the Ostu method and the minimum skewness method are applied to image segmentation of the same infrared thermal image. The study shows that the maximum entropy method and the minimum error method have strong global search capability and can simultaneously extract defects at different depths. However none of these five methods can accurately calculate the defect area at different depths. In order to solve this problem, we put forward a strategy of "divide and conquer". The infrared thermal image is divided into several local thermal maps, with each map containing only one defect, and the defect area is calculated after local image processing of the different buried defects one by one. The results show that, under the "divide and conquer" strategy, the iterative threshold method and the Ostu method have the advantage of high precision and can accurately extract the area of different defects at different depths, with an error of less than 5%.