• Title/Summary/Keyword: Joint network

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A Study on the Centrality of Co-author Social Network in Korea Trade Research Community (사회연결망을 이용한 무역학 공동연구의 중심성에 관한 연구)

  • KIM, Sung-Kuk;PAK, Jee-Moon
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.67
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    • pp.233-253
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    • 2015
  • The cooperation among industry, academy and government is the main factor for world leading trade country. In particular, many papers and research is greatly helpful for finding the needs of industry and establishing strategies. Academic activities have significantly contributed the development of trade. In recent time, the approach based on complexity, convergence and consilience in increasing in academic fields for more mutual understanding and exchange of ideas. For this reason, joint research is necessary in trade. In this research, author can find not only the trend of joint research but also the centrality of trade researchers in the excellent journals in Korea by use of Social Network Analysis.

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Relative Error Compensation of Robot Using Neural Network (신경 회로망을 이용한 로봇의 상대 오차 보상)

  • Kim, Yeon-Hoon;Jeong, Jae-Won;Kim, Soo-Hyun;Kwak, Yoon-Keun
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.7
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    • pp.66-72
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    • 1999
  • Robot calibration is very important to improve the accuracy of robot manipulators. However, the calibration procedure is very time consuming and laborious work for users. In this paper, we propose a method of relative error compensation to make the calibration procedure easier. The method is completed by a Pi-Sigma network architecture which has sufficient capability to approximate the relative relationship between the accuracy compensations and robot configurations while maintaining an efficient network learning ability. By experiment of 4-DOF SCARA robot, KIRO-3, it is shown that both the error of joint angles and the positioning error of end effector are drop to 15$\%$. These results are similar to those of other calibration methods, but the number of measurement is remarkably decreased by the suggested compensation method.

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Prospective Scheme of Network Based Battle Management System in AMD (공중.미사일방어의 네트워크중심 전장관리체계 발전방안)

  • Kwon, Yong-Soo;Ham, Byung-Woon;Kim, Ha-Chul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.4
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    • pp.50-60
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    • 2006
  • This work describes a basic concept of network based battle management system in AMD(Air & Missile Defense). The AMD operation inherently is joint concept that each single service do not satisfy the requirements of AMD theater operation. It is integrated system of joint forces that is operated simultaneously. The analysis of the future battlespace and air & missile threat is shown. From this analysis the prospective scheme of network based battle management system in building Korean future AMD is presented.

An Automatic On-Line Inspection of the Remotely Located Manufacturing Process Based on Neural Network Data Compression and Joint Photographic Experts Group (신경망 데이타 압축과 JPEG(표준정지영상압축기법)에 의한 원거리에 위치한 제조공정의 온라인 자동검사)

  • Kim, Sang Chul;Wang, Gi-Nam
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.2
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    • pp.37-47
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    • 1996
  • This paper presents an automatic tele-inspection scheme for the remotely manufacturing process. The remote-manufacturing process is continuously monitored and a crucial process is captured by CCD Camera. The captured image is compressed by neural network and JPEG, and it is sent directly to the assembly plant for incoming inspection. Massive image data require broadband channel to transmit them to remote distance, but sender is able to transmit them to receiver in use common channel by compressing massive image data in the high ratio. After the receiver reconstructs the compressed image to be transmitted, the reconstructed image is also directly used for automatic inspection of the process. The Experimental results show that the proposed inspection mechanism could be effectively implemented for real applications.

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Generalized Joint Channel-Network Coding in Asymmetric Two-Way Relay Channels

  • Shen, Shengqiang;Li, Shiyin;Li, Zongyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5361-5374
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    • 2016
  • Combining channel coding and network coding in a physical layer in a fading channel, generalized joint channel-network coding (G-JCNC) is proved to highly perform in a two-way relay channel (TWRC). However, most relevant discussions are restricted to symmetric networks. This paper investigates the G-JCNC protocols in an asymmetric TWRC (A-TWRC). A newly designed encoder used by source nodes that is dedicated to correlate codewords with different orders is presented. Moreover, the capability of a simple common non-binary decoder at a relay node is verified. The effects of a power match under various numbers of iteration and code lengths are also analyzed. The simulation results give the optimum power match ratio and demonstrate that the designed scheme based on G-JCNC in an A-TWRC has excellent bit error rate performance under an appropriate power match ratio.

Dynamic Visual Servo Control of Robot Manipulators Using Neural Networks (신경 회로망을 이용한 로보트의 동력학적 시각 서보 제어)

  • 박재석;오세영
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.10
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    • pp.37-45
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    • 1992
  • For a precise manipulator control in the presence of environmental uncertainties, it has long been recognized that the robot should be controlled in a task-referenced space. In this respect, an effective visual servo control system for robot manipulators based on neural networks is proposed. In the proposed control system, a Backpropagation neural network is used first to learn the mapping relationship between the robot's joint space and the video image space. However, in the real control loop, this network is not used in itself, but its first and second derivatives are used to generate servo commands for the robot. Second, and Adaline neural network is used to identify the approximately linear dynamics of the robot and also to generate the proper joint torque commands. Computer simulation has been performed demonstrating the proposed method's superior performance. Futrhermore, the proposed scheme can be effectively utilized in a robot skill acquisition system where the robot can be taught by watching a human behavioral task.

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A Solution to the Inverse Kinematic by Using Neural Network (신경 회로망을 사용한 역운동학 해)

  • 안덕환;양태규;이상효
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.4
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    • pp.295-300
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    • 1990
  • Inverse kinematic problem is a crucial point for robot manipulator control. In this paper, to implement the Jacobian control technique we used the Hopfield, Tank's neural network. The states of neurons represent joint velocities, and the connection weights are determined from the current value of the Jacobian matirx. The network energy function is constructed so that its minimum corresponds to the minimum least square error. At each sampling time, connection weights and neuron states are updated according to current joint positon. Inverse kinematic solution to the planar redundant manipulator is solved by computer simulation.

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Traffic-induced vibrations at the wet joint during the widening of concrete bridges and non-interruption traffic control strategies

  • Junyong Zhou;Zunian Zhou;Liwen Zhang;Junping Zhang;Xuefei Shi
    • Computers and Concrete
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    • v.32 no.4
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    • pp.411-423
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    • 2023
  • The rapid development of road transport has increased the number of bridges that require widening. A critical issue in the construction of bridge widening is the influence of vibrations of the old bridge on the casting of wet joint concrete between the old and new bridges owing to the running traffic. Typically, the bridge is closed to traffic during the pouring of wet joint concrete, which negatively affects the existing transportation network. In this study, a newly developed microscopic traffic load modeling approach and the vehicle-bridge interaction theory are incorporated to develop a refined numerical framework for the analysis of random traffic-bridge coupled dynamics. This framework was used to investigate traffic-induced vibrations at the wet joint of a widened bridge. Based on an experimental study on the vibration resistance of wet joint concrete, traffic control strategies were proposed to ensure the construction performance of cast-in-site wet joint concrete under random traffic without interruption. The results show that the vibration displacement and frequency of the old bridge, estimated by the proposed framework, were comparable with those obtained from field measurements. Based on the target peak particle velocity and vibration amplitude of the wet joint concrete, it was found that traffic control measures, such as limiting vehicle gross weight and limiting traffic volume by closing an additional traffic lane, could ensure the construction performance of the wet joint concrete.

Analysis of the Effect and Network of Exercise Programs on Rheumatoid Arthritis Patients (류마티스 관절염 환자의 운동프로그램 적용효과와 망분석(network analysis))

  • Lee, Hea-Young;Suh, Moon-Ja;Lee, Eun-Ok
    • Journal of muscle and joint health
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    • v.11 no.1
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    • pp.74-87
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    • 2004
  • Purpose: This study aims to analyze the outcome of exercise programs for Rheumatoid Arthritis patients and its tendency with network analysis. Method: 30 articles from Medline search of foreign nursing journals(1966-2002) and 5 from three Korean nursing journals(1970-2002) were surveyed. The contents analyses were focused on outcome measures and network analysis of exercise programs. Results: Exercise programs result in improving muscle strength(91.7%), aerobic capacity(72.9%), and 50 feet walk time(57.3%). Among several exercises, water exercise, and Tai-chi are in the middle of weight-bearing exercises. In the experimental design, non-randomized control trials were 40%, and the functional status of subjects were not classified in 40% of the articles surveyed. Conclusion: Considering the results, muscle strength, aerobic capacity, and 50 feet walk time were tested as valid outcome measures. Tai-chi exercise could be recommended as proper exercise for Rheumatoid arthritis patients because of its low intensity of weight-bearing exercise. In terms of research methods, the randomized trials and functional classifications of rheumatoid arthritis should be done more strictly.

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The Relationships among Network Centrality, Psychological Well-being, and Intention to Exercise Maintenance in Participants of an Aquatic Exercise Program (수중운동 프로그램 참여자의 네트워크 중심성과 심리적 안녕감, 운동지속의도와의 관계)

  • Won, Hyo Jin;Kim, Jong Im
    • Journal of muscle and joint health
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    • v.22 no.1
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    • pp.13-19
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    • 2015
  • Purpose: The purpose of this study was to identify the relationships among network centrality, psychological well-being (PWBS), and intention to exercise maintenance in participants of an aquatic exercise program. Methods: Using a single-experimental design, 17 osteoarthritis patients participated in an aquatic exercise program. The questionnaire to connect the network of members was used to peer nomination by Moreno (1953). Data were analyzed with the UCINET using centrality (degree, closeness, betweenness) and SPSS using descriptive statistics, wilcoxon signed ranked test, and spearman's rho. Results: Closeness centrality, PWBS, and intention to exercise maintenance were significantly different between 4 weeks and 8 weeks. At 4 weeks, PWBS was positively correlated with closeness centrality. Intention to exercise maintenance was positively correlated with degree, closeness, and betweenness centrality. At 8 weeks, PWBS was positively correlated with closeness centrality. Intention to exercise maintenance was positively correlated with closeness centrality. Conclusion: The aquatic exercise program can be effective in increasing closeness centrality, psychological well-being, and intention to exercise maintenance. This was the first study attempted to analyze construction of member relationships in osteoarthritis patients participating an exercise program by using social network analysis.