• Title/Summary/Keyword: US aid

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Comparative Study of US-China Discourse on Cross-border Data Regulation and Cybersecurity: Focusing on ASEAN Development Assistance Cases (미·중 초국경 데이터 규제와 사이버안보 담론 비교: 아세안 개발원조 사례를 중심으로)

  • Kayeon Lee
    • Informatization Policy
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    • v.30 no.1
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    • pp.89-108
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    • 2023
  • Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.

Analysis of China's Aid to North Korea: Focusing on The Two-level game theory (중국의 대북지원 결정요인에 관한 연구: 양면게임이론을 중심으로)

  • Kim, Hyun-Jung;Park, Sunhwa
    • Korea and Global Affairs
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    • v.2 no.1
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    • pp.113-136
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    • 2018
  • The purpose of this study is to start from the recognition of the problem of why the sanctions of the international community could not indicate a great effect. In order to find answers to this question, this study focuses on China's aid to North Korea and analyzes the determinants of support for North Korea. Despite a tough international community's sanctions against North Korea, China has taken a dual stance on sanctions and support for North Korea. As for this dual attitude of China, this study approaches the internal and external situation of the support to the North with the rationale for the Two-level game theory. China's sanction against North Korea could be divided into two categories: external factors and domestic factors. These factors include strengthening supremacy in China, checking the US, playing a responsible role in China, securing resources in North Korea, sustaining stable growth in China, maintaining the legitimacy of China's socialist political system, and spreading the Beijing consensus. Based on the analysis of these factors, it could be expected that China's aid for North Korea will be official, informal, or continuous, and it will be difficult for the North to stop supporting North Korea or deteriorating North Korea- China relations.

Development of three dimensional variable-node elements and their applications to multiscale problems (삼차원 다절점 유한요소의 개발과 멀티스케일 문제의 적용)

  • Lim, Jae-Hyuk;Sohn, Dong-Woo;Im, Se-Young
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.172-176
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    • 2008
  • In this paper, three dimensional linear conforming variable-finite elements are presented with the aid of a smoothed integration (a class of stabilized conforming nodal integration), for mnltiscale mechanics problems. These elements meet the desirable properties of an interpolation such as the Kronecker delta condition, the partition of unity condition and the positiveness of interpolation function. The necessary condition of linear exactness is fully relaxed by employing the smoothed integration, which renders us to meet the linear exactness in a straightforward manner. This novel element description extend the category of the conventional finite elements space to ration type function space and give the flexibility on the number of nodes of element which are fixed in the conventional finite elements. Several examples are provided to show the convergence and the accuracy of the proposed elements, and to demonstrate their potential with emphasis on the multiscale mechanics problems such as global/local analysis, nonmatching contact problems, and modeling of composite material with defects.

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A Method of Squeegee pressure Optimization for Mass Production Thick Film Heaters Using SPC and Neural Network

  • Luckchonlatee, Chayut;Chaisawat, Ake
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.22-25
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    • 2002
  • The Mass production of ceramic heater has encountered with the estimation for the proper parameters of the printing conditions. This paper presents a method to estimate the squeegee pressure. It uses resistance distribution from the trial run with approximate squeegee pressure which comes from statistical process control (SPC). Then, the resistance distribution and its total resistance are input to the backpropagation neural networks that can recognize resistance's distribution patterns. The value of output network derived from the input value can identify to the appropriate squeegee pressure. The experimental results are demonstrated In ensure the efficiency and the reliability of this method with the accuracy 96.75 percent. Indeed, embedded on this method will aid us to reduce the loss from the normal mass production.

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A Voting Method Selection Support System for GDSS (그룹의사결정지원시스템을 위한 투표기법 선택 지원시스템 개발에 관한 연구)

  • Kim, Seong-Hui;Lee, Jae-Gwang;Lee, Jin-U;Kim, Seon-Uk;Park, Heung-Guk
    • Asia pacific journal of information systems
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    • v.6 no.2
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    • pp.5-17
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    • 1996
  • There are various cases that we vote for making a decision or combining ideas (i.e. human being's opinions) in group meetings. Group Decision Support System(GDSS) provides us with a number of voting methods for decision making or aggregation of the ideas. It is generally difficult to select a voting method appropriate for given a meeting situation, without any aid of experts or computers having a knowledge on voting. In this paper we propose a supporting system for selecting an appropriate voting method. Since the selected method is recommended to the facilitator of GDSS, a part of time and effort related with the voting would be reduced. The knowledge in the system is represented as rules that are inductively generated from examples of voting. We used UNiK-INDUCE with ID3 algorithm so as to learn, which is a tool of developing expert systems.

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Usage and satisfaction of bed cloth fabrics: a reality study

  • Lee, Heeran
    • Journal of Fashion Business
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    • v.20 no.6
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    • pp.52-65
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    • 2016
  • Presently, sleep disorders are rapidly increasing due to sudden social development and lifestyle diversification. Among the various factors contributing to comfortable sleep, bedclothes are a major factor that readily influence the sleeping conditions, as they directly come in contact with the human body. This study therefore researches use and purchasing status of bedclothes by consumers, as well as the subjective satisfaction. This would accordingly help us to understand the consumers' performance needs, and collect basic data to develop bedclothes that assist comfortable sleep. This study used multiple choice questions and a 5-point Likert scale in a survey-style research. The results of the study indicate that consumers prudently considered practicality and durability, as bedclothes are seldom purchased. The most preferred material was cotton, but the use of microfiber, a new material, has also increased. Further, consumers' preferred lightweight bedclothes that displayed excellent water absorption, thermal insulation, durability, detergency, and flexibility. Hence, bedclothes developed according to the results of this study are expected to aid comfortable sleep.

Robust Least Squares Motion Deblurring Using Inertial Sensor for Strapdown Image IR Sensors (스트랩다운 적외선 영상센서를 위한 관성센서 기반 강인최소자승 움직임 훼손영상 복원 기법)

  • Kim, Ki-Seung;Ra, Sung-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.4
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    • pp.314-320
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    • 2012
  • This paper proposes a new robust motion deblurring filter using the inertial sensor measurements for strapdown image IR applications. With taking the PSF measurement error into account, the motion blurred image is modeled by the linear uncertain state space equation with the noise corrupted measurement matrix and the stochastic parameter uncertainty. This motivates us to solve the motion deblurring problem based on the recently developed robust least squares estimation theory. In order to suppress the ringing effect on the deblurred image, the robust least squares estimator is slightly modified by adoping the ridge-regression concept. Through the computer simulations using the actual IR scenes, it is demonstrated that the proposed algorithm shows superior and reliable motion deblurring performance even in the presence of time-varying motion artifact.

Applications of MLS(Moving Least Sqrare)-based Finite Elements for Mechanics Problems Involving Interfaces and Discontinuities (경계 및 불연속의 해결을 위한 이동최소제곱 기반 유한요소의 적용)

  • Lim Jae-Hyuk;Im Se-Young;Cho Young-Sam
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.567-574
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    • 2006
  • We present applications of MLS-based finite elements, which enable us to easily treat highly complex nonmatching finite element meshes and discontinuities. The shape functions of MLS-based finite element can be easily generated with the aid of Moving Least Square approximation on the parental domain. The major advantage includes that the position of element nodes as well as the number of the element nodes can be conveniently adjusted according to the nature of the problems under consideration, so that finite-element mesh is straightforwardly adapted to evolving discontinuities and. interfaces. Furthermore, we show that the present MLS-based finite elements are efficiently applied for elastic-plastic deformations, wherein the implicit constraint of incompressibility should be properly handled.

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Automated Structural Design System Using Fuzzy Theory and Neural Network

  • Lee, Joon-Seong
    • International Journal of Precision Engineering and Manufacturing
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    • v.3 no.1
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    • pp.43-48
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    • 2002
  • This paper describes an automated computer-aided engineering (CAE) system for three-dimensional structures. An automatic finite element mesh-generation technique, which is based on fuzzy knowledge processing and computational geometry techniques, is incorporated into the system, together with a commercial FE analysis code, and a commercial solid modeler. The system allows a geometry model of interest to be automatically converted to different FE models, depending on the physical phenomena of the structures to be analyzed, i.e., electrostatic analysis, stress analysis, modal analysis, and so on. Also, with the aid of multilayer neural networks, the present system allows us to obtain automatically a design window in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed CAE system is successfully applied to evaluate an electrostatic micromachines.

Hydrodynamics Embedded Navigation Filter Design for Underwater Autonomous Systems (수중 자율이동시스템의 수력학 모델 내장형 항법필터 설계)

  • Kim, Eun-Chong;Lee, Yun-Ha;Jung, Young-Kwang;Ra, Won-Sang
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1383-1384
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    • 2015
  • In this paper, a dynamics model embedded navigation filter is newly suggested for underwater autonomous systems without position or attitude aid. In order to ensure the observability on the INS errors, the hydrodynamics of the underwater vehicle is incorporated with the INS attitude error. This approach allows us to estimate and compensate the INS errors in spite of using external velocity sensor. Through the simulation, the performance and effectiveness of the proposed scheme are demonstrated.

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