• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권7호
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• pp.353-360
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• 2017

본 연구에서는 예비초등교사의 소프트웨어교육을 위해 스크래치를 활용하는 블렌디드 러닝 기반의 소프트웨어교육 프로그램을 설계하였다. B교육대학교 3학년 2개 반을 실험집단과 비교집단으로 구성하고 설계한 소프트웨어교육 프로그램을 12주 동안 적용하였다. 초등예비교사의 소프트웨어교육에 대한 인식실태 설문과 컴퓨팅 사고력 자가 평가를 실시하여, 개발한 교육 프로그램이 소프트웨어교육의 인식과 컴퓨팅 사고력 능력에 미치는 영향을 분석하였다. 실험 결과, 실험집단의 사후 소프트웨어교육에 대한 인식 수준이 사전 소프트웨어교육 인식 수준에 비해 유의미하게 높아졌다. 컴퓨팅 사고력 자가 평가에서도 실험집단이 비교집단에 비해 유의미하게 높아 블렌디드 러닝 기반의 소프트웨어교육 프로그램이 학습자의 컴퓨팅 사고력 향상에 도움을 줄 수 있음을 알 수 있었다.

• 대한원격탐사학회지
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• 제33권4호
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• pp.423-436
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• 2017

This paper presents a deep learning-based road segmentation framework from very high-resolution orthophotos. The proposed method uses Deep Convolutional Autoencoders for end-to-end mapping of orthophotos to road segmentations. In addition, a set of post-processing steps were applied to make the model outputs GIS-ready data that could be useful for various applications. The optimization of the model's parameters is explained which was conducted via grid search method. The model was trained and implemented in Keras, a high-level deep learning framework run on top of Tensorflow. The results show that the proposed model with the best-obtained hyperparameters could segment road objects from orthophotos at an average accuracy of 88.5%. The results of optimization revealed that the best optimization algorithm and activation function for the studied task are Stochastic Gradient Descent (SGD) and Exponential Linear Unit (ELU), respectively. In addition, the best numbers of convolutional filters were found to be 8 for the first and second layers and 128 for the third and fourth layers of the proposed network architecture. Moreover, the analysis on the time complexity of the model showed that the model could be trained in 4 hours and 50 minutes on 1024 high-resolution images of size $106{\times}106pixels$, and segment road objects from similar size and resolution images in around 14 minutes. The results show that the deep learning models such as Convolutional Autoencoders could be a best alternative to traditional machine learning models for road segmentation from aerial photographs.

• 대한지구과학교육학회지
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• 제7권3호
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• pp.293-302
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• 2014

The purpose of this study is to investigate the effects of research project program of science process skills and science-related attitudes for high school students. This study were accompanied by 72 junior students of G High School who were reorganized as students whose research subject was closely related to chemistry. These students went through 28 periods of 14 sessions of research project program, were tested before and after the study on their science process skills and science-related attitudes. A simple questionnaire afterwards to get their thoughts on this program, was surveyed. The results are as follows. First, the research project program was effective in the science process skills (p<0.01). There was a statistically meaningful difference in the subcategory of deduction, setting up hypotheses, finding variables, building experiments, graphing and interpreting data. Although there was an increase in the average scores of prediction, operant definition, and generalization factors, it was not statistically meaningful (p>0.05). Second, the research project program showed an increase in the post-test of the science-related attitudes but was not statistically meaningful (p>0.05). In terms of subcategoty, the social importance of science, criterion of scientists, application of scientific attitude, and enjoyment of science classes were statistically meaningful (p<0.05). Third, according to the survey of research project program, there was an increase in creating a research problem and solving it by oneself as well as in participating with other teammates to solve a problem. But the most difficult thing was when the experiment failed during the research was processing. The curiosity and interest, towards objects around all lives and science classes after the program done, were increased.

• 한국항행학회논문지
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• 제2권2호
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• pp.75-83
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• 1998

본 논문에서는 저가이면서 높은 정확도를 갖는 GPS와 DR의 통합시스템 및 이 시스템의 위치 결정에 수반되는 오차문제를 고려한다. 이 통합 GPS/DR 시스템은 실시간 또는 비 실시간으로 고정밀도의 위치 정보를 제공하는 성능을 갖는다. DR 측정치에 영향을 주는 주요 오차 요인을 분석하여 이를 8개의 상태 변수의 모델로 표현하였다. 이들 변수의 상태 방정식을 사용하여 DR신호가 제공되는 매 순간에서 상태 변수값을 추산하기 위한 통합시스템용 비선형 필터를 개발한다, 1Hz의 DR 측정치와 3Hz로 제공되는 GPS 위치 정보를 위치 추산치에 대해 이 통합시스템의 정확도를 평가한다. 시뮬레이션을 통해 GPS신호가 정전되는 기간동안 통합 시스템의 성능을 두 가지 서로 다른 잡음모델에 대해 비교 검토한다. 두 잡음모델 중 하나는 단일잡용을 사용하는 반면에 또 다른 모델은 이중 잡음 모델을 채용한다. 시뮬레이션 결과로부터 이중 잡음 모델을 채용하는 GPS/DR 통합시스템은 단일 잡음 모델을 이용하는 경우에 비하여 측위성능이 우수함을 확인하였다.

• 정보처리학회논문지D
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• 제11D권7호
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• pp.1517-1526
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• 2004

공공 데이터베이스의 이용 가능한 단백질 데이터의 양적 증가와 함께 포스트지놈 시대가 도래되면서, 단백질의 3차 구조에 대한 연구가 활발하게 진행되고 있다. 단백질의 구조를 효과적으로 파악하기 위해서 단백질의 3차 구조를 시각화할 필요가 있다. 최근 많은 시각화 도구들이 이미 그 구조가 알려진 단백질을 시각화하기 위해 Java 기술을 이용하여 개발되었다. 본 논문에서는 새로운 단백질 시각화 도구인 JProtein 시스템은 Java3D 기법을 이용하여 개발되었다. Java3D 3D 표현을 위한 프로그래밍 인터페이스를 제공하는 APIdl다. JProtein 시스템은 시각화된 아미노산 내의 원자들간의 각도 및 거리 정보를 제공하며, 단백질 분자구조에 대해 여러 가지 3차원 표현 모델을 지원한다. 특히, JProtein 시스템은 비동기식 스테레오 뷰와 함께 동기식 스테레오 뷰를 지원한다.

• 제어로봇시스템학회논문지
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• 제20권8호
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• pp.875-881
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• 2014

The redundancy resolution of the seven DOF (Degree of Freedom) upper limb exoskeleton is key to the synchronous motion between a robot and a human user. According to the seven DOF human arm model, positioning and orientating the wrist can be completed by multiple arm configurations that results in the non-unique solution to the inverse kinematics. This paper presents analysis on the kinematic and dynamic aspect of the human arm movement and its effect on the redundancy resolution of the seven DOF human arm model. The redundancy of the arm is expressed mathematically by defining the swivel angle. The final form of swivel angle can be represented as a linear combination of two different swivel angles achieved by optimizing two cost functions based on kinematic and dynamic criteria. The kinematic criterion is to maximize the projection of the longest principal axis of the manipulability ellipsoid of the human arm on the vector connecting the wrist and the virtual target on the head region. The dynamic criterion is to minimize the mechanical work done in the joint space for each of two consecutive points along the task space trajectory. The contribution of each criterion on the redundancy was verified by the post processing of experimental data collected with a motion capture system. Results indicate that the bimodal redundancy resolution approach improved the accuracy of the predicted swivel angle. Statistical testing of the dynamic constraint contribution shows that under moderate speeds and no load, the dynamic component of the human arm is not dominant, and it is enough to resolve the redundancy without dynamic constraint for the realtime application.

• 전자공학회논문지A
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• 제31A권10호
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• pp.87-93
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• 1994

Ohmic contacts between Au and p-HgHg_{0.7}Cd_{0.3}Te$ with low specific contact resistance have been obtained. The contact region of the wafer is first pre-heated for 5 seconds in a rapid thermal processing equipment. The temperature reaches a maximum value of about 200$^{\circ}C$ at the end of the 5 seconds. Next, a thin Au film is formed on the contact region by immersing the sample in AuCl$_{3}$ solution. the sample is then post-annealed in the same condition as the pre-heating after Pb/In pad metals are deposited on the electroless Au contacts. The specific contact resistance measured by transmission line model is 5${\times}10^{-3}{\Omega}cm^{2}$ at 80K. RBS and differential Hall measurement data suggest that the above low resistance ohmic contact is ascribed to surface traps and increased gold diffusion rate.

• 아동학회지
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• 제34권5호
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• pp.43-59
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• 2013

The purpose of this study was to develop a Career Group Counseling Program to increase the career maturity, career-identity and career-decision self-efficacy of high school students, and to examine the effectiveness of such a program. In order to evaluate the effectiveness of the program thus developed, an experimental group which was exposed to the program and a control group without exposure to the program were compared. The program was administered over eight weekly sessions, each session lasting ninety minutes. The subjects in this study consisted of twenty four students. The experimental group and a control group were organized with twelve students in each. For the purpose of data processing, SPSS 16.0 was used to analyze the statistical results. The Career Maturity Scale, the Identity Scale, and Career Decision-Making Self-Efficacy Scale were used in a pre-test, post-test, and follow-up test. The findings of this study were as follows : The treatment group exhibited a significant statistically increasing degree of career maturity, career-identity and career-decision self-efficacy levels in comparison to the control group. The results of the study indicated the effectiveness of this newly developed Career Group Counseling Program on increasing career maturity, career-identity and career-decision self-efficacy levels.

• 정보교육학회논문지
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• 제14권4호
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• pp.497-504
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• 2010

본 논문에서는 CPS를 활용한 프로그래밍 학습이 초등학교 학생들의 창의적 문제해결력에 미치는 효과를 알아보기 위해 실험집단 37명을 대상으로 실험을 하였다. 연구 도구는 CPS를 활용한 프로그래밍 학습 프로그램, 두리틀, 창의적 문제해결력 검사지를 사용하였다. 연구 절차는 사전검사, 실험처치, 사후검사순으로 이루어졌으며 자료처리는 대응표본 t-검증을 실시하였다. 연구 결과 CPS를 활용한 프로그래밍 학습이 창의적 문제해결력(3.07에서 3.39로), 확산적 사고력(2.94에서 3.14로), 비판적 논리적 사고력(3.13에서 3.81로), 동기적 요소(3.12에서 3.39로)에 긍정적인 효과를 미치는 것으로 나타났다.

• 임상간호연구
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• 제18권1호
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• pp.126-135
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• 2012

Purpose: This study was aimed to develop a simulation training program of an advanced cardiac life support (ACLS) based on the mastery learning model (Simulation-MLM), and evaluate the effects of the program on critical care nurses. Methods: As an experimental pre-post test with a non-equivalent control group, the study employed convenience sampling of 38 critical care nurses. The experimental group received the Simulation-MLM including a theoretical lecture, formative evaluation, and simulation training, whereas only a theoretical lecture for the control group. The knowledge, self-efficacy, and performance degrees of respondents were measured to verify the effects of the Simulation-MLM. The statistical processing of the collected data utilized the SPSS WIN 17.0 program. Results: After receiving Simulation-MLM, the participants in the experimental group reported higher marks in the knowledge, self-efficacy and performance of ACLS compared with those in the control group. However, both experimental and control groups demonstrated no significant differences in knowledge, self-efficacy and performance. Conclusion: Despite of the limitation of a small sample size, this study was considered meaningful in a sense that it showed a venue for improving ACLS training efficiency. Future research with more distinct treatment differentiation and better adequate outcome variables was warranted in order to prove the effects of a theory-based simulation education.