• Journal of the Korean Society of Systems Engineering
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• v.5 no.1
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• pp.67-72
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• 2009

User Requirements are analyzed and quantified by decision making models and system engineering methods to select alternative concepts which satisfy the various requirements. In this study, the design concepts for guided missile are derived using Quality Function Deployment(QFD) and Analytic Hierarchy Process(AHP). The design alternatives that satisfy the user requirements are extracted by QFD and Morphological Matrix, then the best design concept are obtained using AHP and Pugh concept Selection.

• International Journal of Aeronautical and Space Sciences
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• v.18 no.2
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• pp.245-254
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• 2017

In this paper, deployment dynamics of large-scale flexible solar arrays with deployable mast is investigated. The adopted solar array system is introduced firstly, then kinematic description and kinematic constraint equations are deduced, and finally, dynamics equation of the system is established by the Jourdain velocity variation principle and a new method to deal with topology changes of the deployable mast is introduced. The dynamic behavior of the system is studied in detail. Simulation results indicate that the proposed model is effective to describe the deployment dynamics of the solar arrays and that the introduced method is applicable for topology changes.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.948-957
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• 2003

금형산업은 ETO(engineer to order)방식의 산업으로서 각 주문마다 견적가를 책정하는 것이 손익에 큰 영향을 미치게 된다. 현재, 대부분의 금형업체에서는 금형주문에 대한 견적을 금형전문가의 개별적인 지식에 의존하고 있는데 이러한 방식은 주관적이며, 체계적이지 못한 문제점을 갖고 있다. 따라서 보다 합리적이고 체계적인 기준에 의한 견적가 결정 방법이 필요하다. 본 연구에서는 먼저 고객의 요구사항을 QFD(Quality Function Deployment)를 사용함으로써 금형제작에 있어서 원가에 영향을 미치는 요소를 추줄하게 된다. 이렇게 얻어진 금형제작 정보와 고객의 주문정보를 바탕으로 인공신경망, 사례기반주론 등의 인공지능 기법을 사용하여, 사출금형의 견적가를 책정하는 사출금형의 견적지원시스템을 개발하고자 한다.

• Journal of Electrical Engineering and Technology
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• v.8 no.1
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• pp.1-10
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• 2013

The power industry is currently facing many challenges, due to the new environment created by the introduction of smart grid technologies. In particular, the large-scale deployment of electric vehicles (EVs) may have a significant impact on demand for electricity and, thereby, influence generation and transmission system planning. However, it is difficult to deal with uncertainties in EV charging loads using deterministic planning methods. This paper presents a two-stage stochastic decomposition method with Latin-hyper rectangle sampling (LHRS) to solve the integrated generation and transmission planning problem incorporating EV deployment. The probabilistic distribution of EV charging loads is estimated by Latin-hyper rectangle sampling (LHRS) to enhance the computational performance of the proposed method. Numerical results are presented to show the effectiveness of the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.511-513
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• 2005

최근 산업계에서는 급변하는 사용자의 요구사항을 반영하면서, 경쟁력 있고, 경제적인 소프트웨어를 개발하기 위해서 EJB 컴포넌트 개발 방법을 채택하고 있다. 그러나 EJB 컴포넌트를 테스트하는 것이 기존의 자바 클래스의 테스트보다 더 많은 노력이 필요하고, 어려운 작업이기 때문에 많은 경우에 EJB 컴포넌트에 대한 테스트가 수행되지 않는다. 이에 본 논문에서 EJB 컴포넌트의 테스트 케이스 생성을 자동화 할 수 있는 방법을 제안한다. 이는 EJB 컴포넌트 개발 시 만들어지는 Deployment Descriptor로부터 컴포넌트에 대한 정보를 추출해내고, 이를 기반으로 테스트 케이스를 자동으로 생성하는 방법이다.

• Journal of the Korean Society of Systems Engineering
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• v.1 no.2
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• pp.56-62
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• 2005

In this study, we first define user requirements to fulfill the reconnaissance and the search missions, by analyzing the system characteristics and operation environment. By investigating the design technology level, the development and procurement costs, the strong system design concepts and possible alternatives will be proposed. To analyze the system requirements, the Quality Function Deployment of the systems engineering approach will be implemented. The promising design alternatives that satisfy the user requirements are extracted by constructing the Morphological Matrix, then the best design concept will be obtained using the Pugh Concept Selection Matrix and the TOPSIS(Technique of Order Preference by Similarity to Ideal Solution).

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.219-226
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• 2016

In this paper, we propose an efficient repository model for online software education. The software education of app development consists of 7 stages: coding & debugging, submit, collaboration, review, validate, deployment, certification. Proposed repository model supports all 7 stages efficiently. In the coding & debugging stage, the students repeat coding and debugging of source. In the submit stage, the output of previous process such as source codes, project, and videos, are uploaded to repository server. In the collaboration stage, other students or experts can optimize or upgrade version of source code, project, and videos stored in the repository. In the review stage, mentors can review and send feedbacks to students. In the validate stage, the specialists validate the source code, project, and the videos. In the deployment stage, the verified source code, project, and videos are deployed. In the certification stage, the source code, project, and the videos are evaluated to issue the certificate.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.169-170
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• 2007

In this paper, we analyze the effect of access point (AP) deployment on the accuracy of indoor localization. Two representative geometrical arrangements of AP deployment are selected. One is that a Tag is centered at the regular triangle composed of 3 AP's, and the other is that a Tag is set apart from the straight line composed of 3 AP's. As a result of simulation, the first case has a probability of 93% with distance errors within 1m, while the second case has a 32% of probability.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.11a
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• pp.558-562
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• 2000

This research is concerned with the experiments on buckling characteristics of strain energy hinge(SEH) for solar arrays. The dynamic characteristics of the strain energy hinge is very important since it affects the shape and speed of the solar array deployment. The rapid deployment results in overshoot and undesirable residual vibrations. In this study, we carry out a series of buckling experiments to identify the dynamic characteristics of the SEH, which is made of strip measures. Buckling tests were done on the single-plate, double-plate and triple-plate SEH and VSEH. The experimental results show that the SEH has a very complex buckling behavior which can not be coped with theoretically. The modeling problem of the SEH is also discussed.

• Smart Structures and Systems
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• v.6 no.5_6
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• pp.525-543
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• 2010

Testing and validation processes are critical tasks in developing a new hardware platform based on a new technology. This paper describes a series of experiments to evaluate the performance of a newly developed MEMS-based wireless sensor node as part of a wireless sensor network (WSN). The sensor node consists of a sensor board with four accelerometers, a thermometer and filtering and digitization units, and a MICAz mote for control, local computation and communication. The experiments include calibration and linearity tests for all sensor channels on the sensor boards, dynamic range tests to evaluate their performance when subjected to varying excitation, noise characteristic tests to quantify the noise floor of the sensor board, and temperature tests to study the behavior of the sensors under changing temperature profiles. The paper also describes a large-scale deployment of the WSN on a long-span suspension bridge, which lasted over three months and continuously collected ambient vibration and temperature data on the bridge. Statistical modal properties of a bridge tower are presented and compared with similar estimates from a previous deployment of sensors on the bridge and finite element models.