• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.1
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• pp.197-203
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• 2010

The problem of location awareness in wireless sensor networks where nodes use GPS (Global Positioning System), remains challenging problem, when considering the required large energy consumption during the localization phase. In this paper we designed hardware for GPS based localization and propose a framework, called ELS, to consume low cost energy. In the ELS framework, sensor nodes are equipped with GPS. Because GPS spends large energy for position awareness, conventional localization algorithms cannot use GPS-device. We try to find a solution for efficient energy expenditure of GPS. Finally, we derive optimal transmission power of GPS data and a scheme of localization through experiment and simulation.

• Review of KIISC
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• v.28 no.2
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• pp.20-26
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• 2018

맥아피 연구소의 2017년 12월 위협 보고서에 따르면 2017년 3분기에만 사상 최대인 5,760만개의 신규 악성코드가 수집되었다. 쏟아지는 악성코드와 신규위협에 대응하기 위해 각 기관의 위협대응센터에서 정보를 분석해 대응정책을 수립하고 보안제품을 운영하기에는 한계에 봉착했다. 위협대응 비용을 절감하고 사이버위협에 선제적으로 신속하게 대응하기 위해 사이버위협 정보 공유 체계 구축이 해법으로 제시되고 있다. 국내 보안산업계 또한 사이버위협정보 공유의 필요성이 증대되고 있으며 2017년부터 KOSIGN(Korea Open Security Intelligence Global Networks) 프로젝트를 통해 정보수집체계, 분석시스템, 정보 표현 포맷과 공유 프로토콜 정의 및 각 주체간의 정보공유를 위한 동기부여 방안에 대해 연구가 진행되고 있다. 본 논문에서는 해외 및 국내의 정보공유체계 동향에 대해 소개하고 KOSIGN 프로젝트에서 수행한 정보공유체계에 적용한 기술에 대해 소개하고자 한다.

• Atmosphere
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• v.19 no.3
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• pp.289-296
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• 2009

Measurements of the three-dimensional water vapor distribution in the atmosphere are important for forecast and analysis of meteorological phenomenon. In this study, two Global Positioning System (GPS) campaign networks were installed in Jeju Island and Kangwon-do to construct the vertical water vapor profile solely based on GPS measurements. We implemented a layer model to get the wet refractivity profile and compared the result with radiosonde measurements. The result showed that the vertical profiles from GPS and radiosonde agree well. The bias, root-mean-square error (RMSE) and standard deviation of GPS wet refractivities compared with radiosonde measurements were in the range of 6.6~11.1 mm $km^{-1}$, 11.9~13.9 mm $km^{-1}$, and 4.3~12.3 mm $km^{-1}$, respectively.

• The Korean Journal of Applied Statistics
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• v.15 no.2
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• pp.251-267
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• 2002

Self Organizing Maps(SOM) by Kohonen is very fast algorithm in neural networks. But it doesn't show sure rules of training results. In this paper, we introduce to Bayesian Learning for Self Organizing Maps(BLSOM) which combines self organizing maps with Bayesian learning. So it supports explanatory power of models and improves prediction. BLSOM has global optima anywhere but SOM has not. This is proved by experiment in this paper.

• International Journal of Aeronautical and Space Sciences
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• v.17 no.4
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• pp.491-500
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• 2016

This paper presents a highly efficient aeroelastic optimization method based on a surrogate model; the model is verified by considering the case of a high-aspect-ratio composite wing. Optimization frameworks using the Kriging model and genetic algorithm (GA), the Kriging model and improved particle swarm optimization (IPSO), and the back propagation neural network model (BP) and IPSO are presented. The feasibility of the method is verified, as the model can improve the optimization efficiency while also satisfying the engineering requirements. Moreover, the effects of the number of design variables and number of constraints on the optimization efficiency and objective function are analysed in detail. The accuracy of two surrogate models in aeroelastic optimization is also compared. The Kriging model is constructed more conveniently, and its predictive accuracy of the aeroelastic responses also satisfies the engineering requirements. According to the case of a high-aspect-ratio composite wing, the GA is better at global optimization.

• BMB Reports
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• v.47 no.9
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• pp.483-487
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• 2014

Transmembrane 4 L six family member 5 (TM4SF5), as a membrane glycoprotein with 4 transmembrane domains, is similar to the tetraspanins in terms of membrane topology and plays important roles in tumorigenesis and tumor metastasis. Especially, TM4SF5 appears to form a massive protein-protein complex consisting of diverse membrane proteins and/or receptors in addition to cytosolic signaling molecules to regulate their signaling activities during the pathological processes. TM4SF5 is shown to interact with integrins ${\alpha}2$, ${\alpha}5$, and ${\beta}1$, EGFR, IL6R, CD151, focal adhesion kinase (FAK), and c-Src. This review focuses on the significance of the interactions with regards to TM4SF5-positive tumorigenesis and metastasis.

• Journal of the Korean Operations Research and Management Science Society
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• v.12 no.1
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• pp.95-95
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• 1987

The purpose of this research is to suggest a desirable framework to promote EDI system in the Korean trade and transportation industries. First, this thesis reviews the trend of introduction of EDI systems in foreign countries and investigates their characteristics by examining some cases. Then the problems, which the Korean industries would be confronted with during the course of introduction of EDI system, are identified and discussed. Finally, this thesis suggests that the logistics network should be developed as a main system of EDI to which sub-networks of trade and custom service are linked. This leading role of logistics metwork is necessary to the EDI system because logistics tasks for international movement of goods are expected to increase while tasks related to trade and custom services will decrease in view of recent changes in the world trade environments warning the unbounded competition in the global marketplace without border.

• Korean Management Science Review
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• v.12 no.1
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• pp.95-109
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• 1995

The purpose of this research is to suggest a desirable framework to promote EDI system in the Korean trade and transportation industries. First, this thesis reviews the trend of introduction of EDI systems in foreign countries and investigates their characteristics by examining some cases. Then the problems, which the Korean industries would be confronted with during the course of introduction of EDI system, are identified and discussed. Finally, this thesis suggests that the logistics network should be developed as a main system of EDI to which sub-networks of trade and custom service are linked. This leading role of logistics metwork is necessary to the EDI system because logistics tasks for international movement of goods are expected to increase while tasks related to trade and custom services will decrease in view of recent changes in the world trade environments warning the unbounded competition in the global marketplace without border.

• Proceedings of the Technology Innovation Conference
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• 2001.06a
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• pp.133-143
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• 2001

Technology transfer from universities and research institutes to industries is recognized as a critical issue to strengthen industrial competitiveness, and the roles of technology transfer intermediaries are becoming one of the most important factors for successful technology transfer In today's global and knowledge-based economies, technology transfer services are started shifting to Internet and vertical transfer of technology from R&D labs to industries is becoming more emphasized than horizontal company-to-company transfer of commercialized technology. And the need of comprehensive technology transfer services necessitates cooperation among technology transfer intermediaries and networks offering complementary services. In order to respond to these changes, it is required to construct a new type of technology transfer system. But there are few researches on technology transfer system configuration for design and realization of technology transfer intermediaries. This paper presents the configuration models of technology transfer from universities and research institutes to industries. The configuration models are classified and described from the viewpoint of flows of information, technology and knowledge.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.737-741
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• 1994

We show an application of a genetic algorithm to, control systems including neural networks. Genetic algorithms are getting more popular nowadays because of their simplicity and robustness. Genetic algorithms are global search techniques for optimization and many other problems. A feed-forward neural network which is widely used in control applications usually learns by error back propagation algorithm(EBP). But, when there exist certain constraints, EBP can not be applied. We apply a modified genetic algorithm to such a case. We show simulation examples of two cart-pole nonlinear systems: single pole and double pole.