• Title/Summary/Keyword: Local and global approach

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A Possibilistic C-Means Approach to the Hough Transform for Line Detection

  • Frank Chung-HoonRhee;Shim, Eun-A
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.476-479
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    • 2003
  • The Rough transform (HT) is often used for extracting global features in binary images, for example curve and line segments, from local features such as single pixels. The HT is useful due to its insensitivity to missing edge points and occlusions, and robustness in noisy images. However, it possesses some disadvantages, such as time and memory consumption due to the number of input data and the selection of an optimal and efficient resolution of the accumulator space can be difficult. Another problem of the HT is in the difficulty of peak detection due to the discrete nature of the image space and the round off in estimation. In order to resolve the problem mentioned above, a possibilistic C-means approach to clustering [1] is used to cluster neighboring peaks. Several experimental results are given.

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VIBRO-ACOUSTIC TROUBLESHOOTING SOLVES 5MW BOILERFEED PUMP TESTRING NOISE & VIBRATION PROBLEMS

  • Gielen, L.;Vandenbroeck, D.
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1994.06a
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    • pp.836-841
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    • 1994
  • This paper describes the global vibro-acoustic troubleshooting approach, used to identify and separate different sources of noise and vibrations on a boilerfeed pump testrig. The pump serves for rotor dynamic research of a EC-funded BRITE-Euram profect. This approach resulted in the identification of local structural flexibilities in the connections between the machinery and the base plate. The relative importance of the modes during normal operation is revealed by comparison with operational deformation shapes. The use of sound intensity mapping allowed to calculate the total sound power and to rank the equipment according to its sound power contribution. High acoustic levels were found and related to the fluid drive and to the piping system. Modification of the piping section resulted in a reduction of noise and vibration levels along the test loop and smooth operation in a wide suction pressure range.

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Examining the Impact of Local Attachment, Prior Knowledge, and Involvement in International Music Festival on Destination Image, Attitude and Support (국제 음악축제의 지역 애착도, 사전지식, 관여도가 지역 이미지, 축제에 대한 태도 및 지지도에 미치는 영향에 관한 연구)

  • Jellna Chung;Woohyuk Kim;Nayeon Kim;Sung-Bum Kim
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.257-271
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    • 2024
  • Purpose - This study examined the relationship between local attachment, prior knowledge and involvement in the festival, and local image, attitudes toward and support for the festival among people who have visited the Incheon Pentaport Music Festival, the largest music festival in Korea. Design/methodology/approach - A total of 250 samples were used for the final analysis, and SPSS 26.0 and AMOS 21.0 were used to analyze the data. The structural equation model analysis was conducted to test the hypotheses of this study. Findings - As a result of the analysis, first, only local attachment was found to have a positive and significant effect on local image. On the other hand, prior knowledge or involvement in the Incheon Pentaport Music Festival was found to be unrelated to local image. Second, local attachment and involvement were found to have a significant effect on attitude, but prior knowledge was not significant. Last, this paper examined the influence of festival area image and attitude toward the festival on festival support, and found that both have a positive and significant effect on support. Research implications or Originality - This study expands the scope of research on music festivals and is expected to contribute to tourist attraction and marketing strategies for the revitalization of music festivals in the future.

An approach for failure analysis of composite bridge deck systems with openings

  • Zhao, Lei;Karbhari, Vistasp M.
    • Structural Engineering and Mechanics
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    • v.20 no.1
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    • pp.123-141
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    • 2005
  • Design details pertaining to the connection between some recently developed fiber reinforced polymer (FRP) composite deck systems and the supporting girders require openings through cells of the deck. This significantly changes the stress distribution in these components. As a result, the conventional assumptions that deck designs are controlled by their stiffness, and not strength, needs a closer examination. This paper proposes an analytical method to investigate the stress states and failure mechanisms using a type of "global-local" modeling perspective, incorporating classical lamination theory and first ply failure criterion with use of appropriate stress concentration factors around the cutouts. The use of a "smeared-stress" approach is presented as a potential means of simplifying certain FRP specific complexities, while still enabling prediction of overall failure.

Bringing the Multiscalar Approach into Feminist Spatial Studies: On the Study of Women's Movement (페미니스트 공간연구에 다중스케일적 접근 접목하기: 여성운동연구를 중심으로)

  • Hwang, Jin-Tae;Jung, Hyunjoo
    • Journal of the Korean Geographical Society
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    • v.50 no.1
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    • pp.123-139
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    • 2015
  • This paper attempts to complement the methodological and conceptual lack of spatial thinking in Korean women's movement research and to facilitate further discussion on this field of research, by drawing on recent academic discussion on scale developed particularly among the Western critical and feminist geographers. The purposes of the paper are following. First, it addresses the need to utilize the concept of scale in women's movement research. Numerous spatial metaphors often proliferated with indiscretion in the feminist approach have rather tended to hinder fully understanding the spatiality of social movements. In order to examine the spatiality of social movements as both conceptual tool and praxis, not merely as metaphor, the paper incorporates main issues in recent scale discourses with particular attention to the debate between Marston and Brenner, and explores their implications for women's movement research in Korea. Second, it emphasizes the multi-scalar approach by highlighting the role of micro-scale, the less studied side in social movement literature. The public and the private divide, the long time battle ground in feminist research, is often intermingled with the hierarchical scalar understanding which considers the global as more powerful and important than the local. The reproductive realm, however, is indispensably related to production and political economic realm. The paper explores the very site where both the public/private divide and the hierarchical scalar understanding can be dismantled. It is the site where the private becomes public and the local becomes the global (and vice versa). Drawing on a brief example of an anti-FTA movement of women with strollers in Korea, it examines the way the multi-scalar approach advances the understanding of Korean women's movement.

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Discrete optimal sizing of truss using adaptive directional differential evolution

  • Pham, Anh H.
    • Advances in Computational Design
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    • v.1 no.3
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    • pp.275-296
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    • 2016
  • This article presents an adaptive directional differential evolution (ADDE) algorithm and its application in solving discrete sizing truss optimization problems. The algorithm is featured by a new self-adaptation approach and a simple directional strategy. In the adaptation approach, the mutation operator is adjusted in accordance with the change of population diversity, which can well balance between global exploration and local exploitation as well as locate the promising solutions. The directional strategy is based on the order relation between two difference solutions chosen for mutation and can bias the search direction for increasing the possibility of finding improved solutions. In addition, a new scaling factor is introduced as a vector of uniform random variables to maintain the diversity without crossover operation. Numerical results show that the optimal solutions of ADDE are as good as or better than those from some modern metaheuristics in the literature, while ADDE often uses fewer structural analyses.

A Local Influence Approach to Regression Diagnostics with Application to Robust Regression

  • Huh, Myung-Hoe;Park, Sung H.
    • Journal of the Korean Statistical Society
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    • v.19 no.2
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    • pp.151-159
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    • 1990
  • Regression diagnostics often involves assesment of the changes that result from deleting multiple cases. Diagnostic mehtodology based on global influence measure, however, needs prohibitive computing time. As an alternative, Cook (1986) developed influence approach in which it is checked whether a minor modification of specifiation influences key results of an analysis. In line with Cook's development, we propose and study an inflence derivative method that yields both the magnitude and direction of case influences. The utility of our methodology is highlighted when case influence derivatives are plotted in a lower demensional space. Such plots are especially effective in unmasking "masked" observations in least squares regression and in robust regression also. We give several illustrations.strations.

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The Pathplanning of Navigation Algorithm using Dynamic Window Approach and Dijkstra (동적창과 Dijkstra 알고리즘을 이용한 항법 알고리즘에서 경로 설정)

  • Kim, Jae Joon;Jee, Gui-In
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.94-96
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    • 2021
  • In this paper, we develop a new navigation algorithm for industrial mobile robots to arrive at the destination in unknown environment. To achieve this, we suggest a navigation algorithm that combines Dynamic Window Approach (DWA) and Dijkstra path planning algorithm. We compare Local Dynamic Window Approach (LDWA), Global Dynamic Window Approach(GDWA), Rapidly-exploring Random Tree (RRT) Algorithm. The navigation algorithm using Dijkstra algorithm combined with LDWA and GDWA makes mobile robots to reach the destination. and obstacles faced during the path planning process of LDWA and GDWA. Then, we compare on time taken to arrive at the destination, obstacle avoidance and computation complexity of each algorithm. To overcome the limitation, we seek ways to use the optimized navigation algorithm for industrial use.

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Implementing Dynamic Obstacle Avoidance of Autonomous Multi-Mobile Robot System (자율 다개체 모바일 로봇 시스템의 동적 장애물 회피 구현)

  • Kim, Dong W.;Yi, Cho-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.1
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    • pp.11-19
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    • 2013
  • For an autonomous multi-mobile robot system, path planning and collision avoidance are important functions used to perform a given task collaboratively and cooperatively. This study considers these important and challenging problems. The proposed approach is based on a potential field method and fuzzy logic system. First, a global path planner selects the paths of the robots that minimize the cost function from each robot to its own target using a potential field. Then, a local path planner modifies the path and orientation from the global planner to avoid collisions with static and dynamic obstacles using a fuzzy logic system. In this paper, each robot independently selects its destination and considers other robots as dynamic obstacles, and there is no need to predict the motion of obstacles. This process continues until the corresponding target of each robot is found. To test this method, an autonomous multi-mobile robot simulator (AMMRS) is developed, and both simulation-based and experimental results are given. The results show that the path planning and collision avoidance strategies are effective and useful for multi-mobile robot systems.

Contour-Based approach for mosaicking images that contain moving objects (움직이는 객체를 포함하는 영상의 컨투어 기반 모자이킹 방법)

  • 정성룡;최윤희;최태선
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.323-326
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    • 2002
  • This paper has been studied how to deal with moving objects in images when we mosaic them. The global motion between two images is biased due to the local motion from these moving objects, so it is very important how to eliminate the effects of them. In this paper contour-based approach for mosaicking images that contains moving objects is presented. Once we get the contours of images we can both eliminate the moving objects and mosaic the images. In this stage, hierarchical moving objects elimination technique is introduced. Experiment is done for Stefan tennis sequences to verify the proposed algorithm.

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