• Title/Summary/Keyword: Change point

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Performance Change according to the Catalyst Intrusion Rate in the MEA for the PEM Water Electrolysis (고분자전해질 수전해용 MEA의 촉매침투도에 따른 성능변화)

  • Kim, Hong-Youl;Lee, Ji-Jung;Lee, Jae-Young;Lee, Hong-Ki
    • New & Renewable Energy
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    • v.5 no.4
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    • pp.75-78
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    • 2009
  • The performances of proton exchange membrane (PEM) water electrolysis depend on many factors such as materials, geometries, fabrication methods, operating conditions, and so forth. The fabrication method is concerned, membrane electrode assemblies (MEA) are a most important part to show different performances by different fabrication methods. The performance change of PEM water electrolysis was experimentally measured according to the fabrication differences of the anode electrodes. One point of view is the catalyst intrusion rate to the anode gas diffusion layer (GDL), and the other point of view is the catalyst loading distribution in depth of the anode GDL. Results show that the performances of MEA with deep intrusion of the catalysts are better in the range of low current densities but worse at higher current densities. The catalyst loading distribution does not affect significantly to the performance of PEM water electrolyser.

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A Study on the Change of Education System with the Development of Digital Content Industry

  • Kim, Jisoo
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.145-150
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    • 2019
  • Due to the development of science and technology and the emergence of new industries, the environmental change of the digital contents industry is rapidly progressing. The scope of technological development in the digital contents industry is affecting not only the entertainment industry but also various industries. Recently, with the development of digital convergence using realistic content, games, video, and VR have provided new opportunities for the growth of the content industry. The researcher determined that a new education system would need to be changed as the digital contents industry developed. For this purpose, an AHP questionnaire was conducted for experts with a high basic understanding of the education platform based on previous studies. We proposed a platform model for human resource development as an education system that meets the demand of digital contents industry. The education system for nurturing talents needed by future society should include elements that can interest the learning of users. The platform should not be approached from a system point of view, but should be developed from the content and user's point of view, considering the platform's original purpose.

Modified information criterion for testing changes in generalized lambda distribution model based on confidence distribution

  • Ratnasingam, Suthakaran;Buzaianu, Elena;Ning, Wei
    • Communications for Statistical Applications and Methods
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    • v.29 no.3
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    • pp.301-317
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    • 2022
  • In this paper, we propose a change point detection procedure based on the modified information criterion in a generalized lambda distribution (GLD) model. Simulations are conducted to obtain empirical critical values of the proposed test statistic. We have also conducted simulations to evaluate the performance of the proposed methods comparing to the log-likelihood method in terms of power, coverage probability, and confidence sets. Our results indicate that, under various conditions, the proposed method modified information criterion (MIC) approach shows good finite sample properties. Furthermore, we propose a new goodness-of-fit testing procedure based on the energy distance to evaluate the asymptotic null distribution of our test statistic. Two real data applications are provided to illustrate the use of the proposed method.

Feature point extraction using scale-space filtering and Tracking algorithm based on comparing texturedness similarity (스케일-스페이스 필터링을 통한 특징점 추출 및 질감도 비교를 적용한 추적 알고리즘)

  • Park, Yong-Hee;Kwon, Oh-Seok
    • Journal of Internet Computing and Services
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    • v.6 no.5
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    • pp.85-95
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    • 2005
  • This study proposes a method of feature point extraction using scale-space filtering and a feature point tracking algorithm based on a texturedness similarity comparison, With well-defined operators one can select a scale parameter for feature point extraction; this affects the selection and localization of the feature points and also the performance of the tracking algorithm. This study suggests a feature extraction method using scale-space filtering, With a change in the camera's point of view or movement of an object in sequential images, the window of a feature point will have an affine transform. Traditionally, it is difficult to measure the similarity between correspondence points, and tracking errors often occur. This study also suggests a tracking algorithm that expands Shi-Tomasi-Kanade's tracking algorithm with texturedness similarity.

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A RENDERING ALGORITHM FOR HYBRID SCENE REPRESENTATION

  • Tien, Yen;Chou, Yun-Fung;Shih, Zen-Chung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.17-22
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    • 2009
  • In this paper, we discuss two fundamental issues of hybrid scene representation: constructing and rendering. A hybrid scene consists of triangular meshes and point-set models. Consider the maturity of modeling techniques of triangular meshes, we suggest that generate a point-set model from a triangular mesh might be an easier and more economical way. We improve stratified sampling by introducing the concept of priority. Our method has the flexibility that one may easily change the importance criteria by substituting priority functions. While many works were devoted to blend rendering results of point and triangle, our work tries to render point-set models and triangular meshes as individuals. We propose a novel way to eliminate depth occlusion artifacts and to texture a point-set model. Finally, we implement our rendering algorithm with the new features of the shader model 4.0 and turns out to be easily integrated with existing rendering techniques for triangular meshes.

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Multipoint variable generalized displacement methods: Novel nonlinear solution schemes in structural mechanics

  • Maghami, Ali;Shahabian, Farzad;Hosseini, Seyed Mahmoud
    • Structural Engineering and Mechanics
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    • v.83 no.2
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    • pp.135-151
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    • 2022
  • The generalized displacement method is a nonlinear solution scheme that follows the equilibrium path of the structure based on the development of the generalized displacement. This method traces the path uniformly with a constant amount of generalized displacement. In this article, we first develop higher-order generalized displacement methods based on multi-point techniques. According to the concept of generalized stiffness, a relation is proposed to adjust the generalized displacement during the path-following. This formulation provides the possibility to change the amount of generalized displacement along the path due to changes in generalized stiffness. We, then, introduce higher-order algorithms of variable generalized displacement method using multi-point methods. Finally, we demonstrate with numerical examples that the presented algorithms, including multi-point generalized displacement methods and multi-point variable generalized displacement methods, are capable of following the equilibrium path. A comparison with the arc length method, generalized displacement method, and multi-point arc-length methods illustrates that the adjustment of generalized displacement significantly reduces the number of steps during the path-following. We also demonstrate that the application of multi-point methods reduces the number of iterations.

Sensitivity Analysis of the Atmospheric Dispersion Modeling through the Condition of Input Variable (입력변수의 조건에 따른 대기확산모델의 민감도 분석)

  • Chung Jin-Do;Kim Jang-Woo;Kim Jung-Tae
    • Journal of Environmental Science International
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    • v.14 no.9
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    • pp.851-860
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    • 2005
  • In order to how well predict ISCST3(lndustrial Source Complex Short Term version 3) model dispersion of air pollutant at point source, sensitivity was analysed necessary parameters change. ISCST3 model is Gaussian plume model. Model calculation was performed with change of the wind speed, atmospheric stability and mixing height while the wind direction and ambient temperature are fixed. Fixed factors are wind direction as the south wind(l80") and temperature as 298 K(25 "C). Model's sensitivity is analyzed as wind speed, atmospheric stability and mixing height change. Data of stack are input by inner diameter of 2m, stack height of 30m, emission temperature of 40 "C, outlet velocity of 10m/s. On the whole, main factor which affects in atmospheric dispersion is wind speed and atmospheric stability at ISCST3 model. However it is effect of atmospheric stability rather than effect of distance downwind. Factor that exert big influence in determining point of maximum concentration is wind speed. Meanwhile, influence of mixing height is a little or almost not.

Quality Management in a Manufacturing Environment using a 3D Printer (3D 프린터를 이용한 제조 환경에서의 품질경영)

  • Son, Eun-Il;Song, Hae-Keun;Lim, Sung-Uk
    • Journal of Korean Society for Quality Management
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    • v.42 no.2
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    • pp.145-152
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    • 2014
  • Purpose: As the number of people directly employed in making things declines, the cost of labour as a proportion of the cost of production and delivery will diminish too. This will make to move the focus of quality management because new manufacturing techniques make it cheaper and faster to respond to changing local tastes Methods: This discussion is induced by understanding that change the point of view of quality. Results: Mark-processing method using a mold of 3D-printer is different from traditional manufacturing methods. Design, rapid prototyping of products produced by the right way, many changes in many industries will be created. Therefore, the design will be more emphasis on the importance of quality. Conclusion: As manufacturing goes digital, a Quality great change is now gathering pace. It will allow things to be made economically in much smaller numbers, more flexibly and with a much lower input of labour, thanks to new materials, completely new processes such as 3D printing. So we must change the vantage point of quality, from process to Design, R&D, and Delivery.

A Study on the Academic Background of Gwae(卦氣) Theory of Yiology in Han(漢) Dynasty (한역(漢易) 괘기설(卦氣說)의 학술적 배경에 대한 연구)

  • Eun, Seok-Min
    • Journal of Korean Medical classics
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    • v.21 no.3
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    • pp.69-81
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    • 2008
  • Gwae(卦氣) theory was one of the main theoretical foundation of yiology in the Han(漢)-dynasty. It was based on the concept that the trigram or hexagram of the book of change corresponds to the seasonal point such as 24 solar terms in one year, so there was so much influence from astronomy and divination system of that time in the development of theoretical principle of Gwae(卦氣) theory. Since Han(漢) Dynasty, the theoretical method such as Gwae(卦氣) theory that correlates the astronomy and divination system with the book of change, had become one of the main academic thoughts throughout the entire history in China, and it was also like that in medicine. Nevertheless there still exists the skeptical sights that Gwae(卦氣) theory was not a part of orthodox yiology, that had been developed by Confucian scholar and had also been recognized as the right path to the study of the book of change. Nowadays because of the new opportunity such as the excavation of the ancient silk script, this kind of controversy has moved on its another step. With regard to this problem, this article will treat the current thoughts about the Gwae(卦氣) theory and think about the substantial basis of each point of view.

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Optimization of parameters in mobile robot navigation using genetic algorithm (유전자 알고리즘을 이용한 이동 로봇 주행 파라미터의 최적화)

  • 김경훈;조형석
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1161-1164
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    • 1996
  • In this paper, a parameter optimization technique for a mobile robot navigation is discussed. Authors already have proposed a navigation algorithm for mobile robots with sonar sensors using fuzzy decision making theory. Fuzzy decision making selects the optimal via-point utilizing membership values of each via-point candidate for fuzzy navigation goals. However, to make a robot successfully navigate through an unknown and cluttered environment, one needs to adjust parameters of membership function, thus changing shape of MF, for each fuzzy goal. Furthermore, the change in robot configuration, like change in sensor arrangement or sensing range, invokes another adjusting of MFs. To accomplish an intelligent way to adjust these parameters, we adopted a genetic algorithm, which does not require any formulation of the problem, thus more appropriate for robot navigation. Genetic algorithm generates the fittest parameter set through crossover and mutation operation of its string representation. The fitness of a parameter set is assigned after a simulation run according to its time of travel, accumulated heading angle change and collision. A series of simulations for several different environments is carried out to verify the proposed method. The results show the optimal parameters can be acquired with this method.

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