• 한국지능시스템학회논문지
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• 제21권5호
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• pp.581-587
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• 2011

이 논문은 임베디드 소프트웨어 설계 과목을 위한 실습 키트 하드웨어와 이 키트를 사용한 임베디드 소프트웨어 설계 교육 과정에 대해서 소개한다. 임베디드 소프트웨어 설계 과목은 그 특성상 실습과 한 학기에 걸친 프로젝트 위주로 진행되는데 이를 위해서는 소프트웨어를 실행시킬 실습 키트가 꼭 필요하다. 학생들이 하드웨어를 완벽하게 이해하고 소프트웨어 설계 및 개발을 진행할 수 있도록 학생들의 수준에 맞는 맞춤형 실습 키트 하드웨어를 설계하고 제작하였다. 학생들은 제작된 실습 키트를 사용하여 디바이스구동 소프트웨어에서부터 사용자 인터페이스까지 임베디드 소프트웨어 전 계층에 걸친 프로그램 설계하고 구현해 봄으로써 보다 수월하게 임베디드 시스템에 대한 이해를 넓히고 프로그램 개발 능력을 향상시킬 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4028-4042
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• 2021

Aiming at the problem of software defect prediction difficulty caused by insufficient software defect marker samples and unbalanced classification, a semi-supervised software defect prediction model based on a tri-training algorithm was proposed by combining feature normalization, over-sampling technology, and a Tri-training algorithm. First, the feature normalization method is used to smooth the feature data to eliminate the influence of too large or too small feature values on the model's classification performance. Secondly, the oversampling method is used to expand and sample the data, which solves the unbalanced classification of labelled samples. Finally, the Tri-training algorithm performs machine learning on the training samples and establishes a defect prediction model. The novelty of this model is that it can effectively combine feature normalization, oversampling techniques, and the Tri-training algorithm to solve both the under-labelled sample and class imbalance problems. Simulation experiments using the NASA software defect prediction dataset show that the proposed method outperforms four existing supervised and semi-supervised learning in terms of Precision, Recall, and F-Measure values.

• 대한임베디드공학회논문지
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• 제6권6호
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• pp.361-367
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• 2011

In this paper, we propose an interactive embedded system framework for efficient training management in u-health environment. First, we analyzed various requirements of smart training systems for quality of life. We also analyzed the oversea trends and positive effects of the embedded system in terms of both technical and economical factors. Second, we proposed detailed design specification for embedded hardware implementation. Third, we developed effective OS(Operating System) specification for the embedded hardware. Finally, we developed a training scenario and embedded applications such as training control software and analysis software for the smart training systems.

• 대한전기학회논문지:전력기술부문A
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• 제48권8호
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• pp.932-940
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• 1999

This paper discusses the development of an interactive and graphic software for the education and training of power system operation and control, especially for students and beginners. This software has a lot of functions for users to simulate the power system operation and control with ease. These functions included in this software are followings. First, this software includes a Graphic User Interface (GUI) - which contains interactive simulation scheme, Windows dialog box, graphic representations, and graphic icons - so that users can handle the software in user-friendly environments. Second, it uses a graphic editor so that users can easily edit the one-line diagram of the power system. Third, it prepares a database system so that users can manage the power system data for simulation easily. Fourth, the application modules included in the software are the Economic Dispatch (ED) and the Automatic Load-Frequency Control (ALFC). These application modules are designed as independent modules. Using the ED module, users can understand the basic concepts of the ED with ease. And using the ALFC module, they can easily acquire the basic understanding of the response of the ALFC between the two-area systems. The proposed software is tested on both the 16 bus and the two-area sample system. The test has confirmed the functions of the developed software. It is anticipated that the software will be useful for the education and training of power system operation and control for the power engineering study at university or for the training of the beginner at power industry.

• Translational and Clinical Pharmacology
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• 제26권4호
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• pp.166-171
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• 2018

Although there are many commercially available training software programs for pharmacokinetics, they lack flexibility and convenience. In this study, we develop simulation software to facilitate pharmacokinetics education. General formulas for time courses of drug concentrations after single and multiple dosing were used to build source code that allows users to simulate situations tailored to their learning objectives. A mathematical relationship for a 1-compartment model was implemented in the form of differential equations. The concept of population pharmacokinetics was also taken into consideration for further applications. The source code was written using R. For the convenience of users, two types of software were developed: a web-based simulator and a standalone-type application. The application was built in the JAVA language. We used the JAVA/R Interface library and the 'eval()' method from JAVA for the R/JAVA interface. The final product has an input window that includes fields for parameter values, dosing regimen, and population pharmacokinetics options. When a simulation is performed, the resulting drug concentration time course is shown in the output window. The simulation results are obtained within 1 minute even if the population pharmacokinetics option is selected and many parameters are considered, and the user can therefore quickly learn a variety of situations. Such software is an excellent candidate for development as an open tool intended for wide use in Korea. Pharmacokinetics experts will be able to use this tool to teach various audiences, including undergraduates.

• 전력전자학회논문지
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• 제4권1호
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• pp.35-42
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• 1999

본 논문에서는 전력계통 고장해석 교육 및 훈련을 위한 대화식 컴퓨터 소프트웨어를 개발하였다. 개발된 소프트웨어는 고장해석에 대한 손쉬운 이해 및 소프트웨어의 사용자 편의를 증가시키기 위하여 윈도우, 그래픽 아이콘, 다양한 그래픽 출력 기능 등을 포함하고 있다. 특히, 대화식 기능을 부가함으로서 사용자가 다양한 사고 조건에서 고장해석을 모의할 수 있도록 하였다. 이러한 기능을 통하여 사용자는 전력계통 고장해석의 기본 개념 및 사고로 인한 계통의 영향에 대한 이해를 손쉽게 습득할 수 있다. 제안된 소프트웨어는 16모선 전력계통을 통하여 사례연구를 수행함으로 전력계통 고장해석의 교육 및 훈련에 유용한 기능들을 갖추고 있음을 확인하였다.

• 한국콘텐츠학회논문지
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• 제8권7호
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• pp.66-74
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• 2008

소프트웨어 개발 프로세스의 초기 단계에서 결함경향성이 많은 모듈들을 예측하는 위험도 예측 모델은 프로젝트 자원할당에 도움을 주어 전체 시스템의 품질을 개선시키는 역할을 한다. 설계 복잡도 메트릭에 기반을 둔 여러 예측 모델들이 제안 되었지만 대부분 훈련 데이터 집합을 필요로 하는 모델들이었고 훈련 데이터 집합을 보유하고 있지 않은 대부분의 개발 집단들은 이들을 사용할 수 없다는 문제점이 있었다. 본 논문에서는 잘 알려진 감독형 학습 모델인 오류 역전파 신경망 모델에 SDL 시스템 명세를 정량화하여 적용한 예측 모델을 개발하였으며, 기존 학습 모델들의 문제점을 해결하기 위해 이 모델을 여러 제약조건을 가지고 만든 가상 훈련데이터집합으로 학습시켰다. 제안 모델의 사용가능성을 알아보기 위해 몇가지 모의실험을 수행 하였으며, 그 결과 제안 모델이 훈련 데이터 집합이 없는 개발 집단에서는 실제 데이터로 훈련된 예측 모델의 대안으로 사용될 수 있음을 보였다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 춘계 학술대회 논문집
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• pp.153-156
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• 2001

We have developed CNS(Compact Nuclear Simulator) which can be used for the fundamental training of the nuclear power plant operators. The application software for CNS consists of simulation engine(analyzer code), instructor station software, and man-machine interface software. Each application software is regarded as one black box and the communication of black boxes is performed by the predefined shared memory variables. In this paper, we discuss our experience for CNS development.

• 컴퓨터교육학회논문지
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• 제23권3호
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• pp.31-40
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• 2020

본 연구에서는 국가 교육과정을 기반으로 SW교육을 이해하고, 적용하는 역량을 함양하기 위한 초등 SW교육 핵심교원 연수 프로그램을 개발하고, 실제 전국 단위 직무연수 현장에 적용하여 그 효과성을 분석하였다. 연수 프로그램 개발을 위해 개발 방향 설정, 파일럿 연수 진행, 연수 최종안 적용 및 추가보완의 과정을 거쳤으며, 개발된 연수 프로그램을 교육부 주관 2019년 동계 및 하계 직무연수에 적용 하였다. 연수 프로그램의 효과성 분석을 위해 SW교육 교수효능감, 만족도 조사 등을 실시하였으며, 분석 결과 개발된 연수 프로그램의 긍정적인 효과성을 확인할 수 있었다.

• 한국의학물리학회지:의학물리
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• 제33권4호
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• pp.136-141
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• 2022

Purpose: This study aimed to develop a breath control training system for breath-hold technique and respiratory-gated radiation therapy wherein the patients can learn breath-hold techniques in their convenient environment. Methods: The breath control training system comprises a sensor device and software. The sensor device uses a loadcell sensor and an adjustable strap around the chest to acquire respiratory signals. The device connects via Bluetooth to a computer where the software is installed. The software visualizes the respiratory signal in near real-time with a graph. The developed system can signal patients through visual (software), auditory (buzzer), and tactile (vibrator) stimulation when breath-holding starts. A motion phantom was used to test the basic functions of the developed breath control training system. The relative standard deviation of the maxima of the emulated free breathing data was calculated. Moreover, a relative standard deviation of a breath-holding region was calculated for the simulated breath-holding data. Results: The average force of the maxima was 487.71 N, and the relative standard deviation was 4.8%, while the average force of the breath hold region was 398.5 N, and the relative standard deviation was 1.8%. The data acquired through the sensor was consistent with the motion created by the motion phantom. Conclusions: We have developed a breath control training system comprising a sensor device and software that allow patients to learn breath-hold techniques in their convenient environment.