• Title/Summary/Keyword: automation technology

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A Study on the Automation Equipment Development of RC Technology(II) -Improvement of Position Controller- (RC 기술의 자동화 장치 개발에 관한 연구(II) -위치 제어기의 개선-)

  • Kim, Ki-Joon;Kim, Sang-Jin;Song, Ja-Youn
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.314-316
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    • 1994
  • The operation of RC(Rod Consolidation) technology carry out highly radiation environment. It requires remote operation and automation for efficient handling and for minimizing radiation exposure to the operator. So we investigated up and down position control of shock absorber device in RC system. To verify the research experimentally, a RC system was set up and PI control method was applied. Fuzzy control method was also tested to further improve control behavior.

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Success Factors of Factory Automation : A Case Study for Small and Medium sized Companies (생산자동화의 성공요인에 관한 연구: 중소기업에 대한 사례분석)

  • 이정원
    • Journal of Technology Innovation
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    • v.7 no.2
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    • pp.101-118
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    • 1999
  • Factory automation(FA) is a part of technological innovation to make production process more efficient and it also facilitates technological innovation by accumulating the internalization ability of newly imported technology Introduction of FA, however, does not guarantee the increase of production efficiency and high product quality, moreover, the competitiveness of firm. The purpose of this paper is to analyze the relationship between firm's behavioral characteristics during implementation process of FA and organizational performance, and to find out success factors of FA. Results of the case studies for 4 SME's show that financial stability and the fitness between corporate strategy and the purpose of FA are the necessary conditions for successful implementation of FA. But the organizational restructuring for new manufacturing system, openness of all communication channels, and common mind of employees are also needed to achieve the high degree of performance from FA, especially the benefits of qualitative or organizational level.

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Joint Hierarchical Semantic Clipping and Sentence Extraction for Document Summarization

  • Yan, Wanying;Guo, Junjun
    • Journal of Information Processing Systems
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    • v.16 no.4
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    • pp.820-831
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    • 2020
  • Extractive document summarization aims to select a few sentences while preserving its main information on a given document, but the current extractive methods do not consider the sentence-information repeat problem especially for news document summarization. In view of the importance and redundancy of news text information, in this paper, we propose a neural extractive summarization approach with joint sentence semantic clipping and selection, which can effectively solve the problem of news text summary sentence repetition. Specifically, a hierarchical selective encoding network is constructed for both sentence-level and document-level document representations, and data containing important information is extracted on news text; a sentence extractor strategy is then adopted for joint scoring and redundant information clipping. This way, our model strikes a balance between important information extraction and redundant information filtering. Experimental results on both CNN/Daily Mail dataset and Court Public Opinion News dataset we built are presented to show the effectiveness of our proposed approach in terms of ROUGE metrics, especially for redundant information filtering.

A Method to Compute Bending Angle for Robotic Shaping of Orthodontic Archwire (로봇을 이용한 치과 보철용 아치와이어 제작을 위한 굽힘각 계산 방법)

  • Chung, Seong Youb;Song, Il Jae;Hwang, Myun Joong
    • Journal of Institute of Convergence Technology
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    • v.7 no.2
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    • pp.17-20
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    • 2017
  • Orthodontic treatment is accomplished by attaching an archwire to a bracket on tooth. The shape of the archwire is usually planned from 3-D scanned data of patient's teeth. It is manufactured by bending a metal wire and there have been some researches in progress to automate it. In this paper, we propose a method to obtain the bending angle at the bending point from the shape data of the archwire and verify it by simulation using actual archwire data.

Power Flow Control of Four Channel Resonant Step-Down Converters

  • Litvani, Lilla;Hamar, Janos
    • Journal of Power Electronics
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    • v.19 no.6
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    • pp.1393-1402
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    • 2019
  • This paper proposes a new power flow control method for soft-switched, four channel, five level resonant buck dc-dc converters. These converters have two input channels, which can be supplied from sources with identical or different voltages, and four output channels with arbitrary output voltages. They are specially designed to supply multilevel inverters. The design methodology for their power flow control has been developed considering a general case when the input voltages, output voltages and loads can be asymmetrical. A special emphasize is paid to the limitations and restrictions of operation. The theoretical studies are confirmed by numerical simulations and laboratory tests carried out at various operation points. Exploiting the advantages of the newly proposed power control strategy, the converter can supply five level inverters in dc microgrids, active filters, power factor correctors and electric drives. They can also play an interfacing role in renewable energy systems.

The uniaxial strain test - a simple method for the characterization of porous materials

  • Fiedler, T.;Ochsner, A.;Gracio, J.
    • Structural Engineering and Mechanics
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    • v.22 no.1
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    • pp.17-32
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    • 2006
  • The application of cellular materials in load-carrying and security-relevant structures requires the exact prediction of their mechanical behavior, which necessitates the development of robust simulation models and techniques based on appropriate experimental procedures. The determination of the yield surface requires experiments under multi-axial stress states because the yield behavior is sensitive to the hydrostatic stress and simple uniaxial tests aim only to determine one single point of the yield surface. Therefore, an experimental technique based on a uniaxial strain test for the description of the influence of the hydrostatic stress on the yield condition in the elastic-plastic transition zone at small strains is proposed and numerically investigated. Furthermore, this experimental technique enables the determination of a second elastic constant, e.g., Poisson's ratio.

Human-machine system optimization in nuclear facility systems

  • Corrado, Jonathan K.
    • Nuclear Engineering and Technology
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    • v.53 no.10
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    • pp.3460-3463
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    • 2021
  • Present computing power and enhanced technology is progressing at a dramatic rate. These systems can unravel complex issues, assess and control processes, learn, and-in many cases-fully automate production. There is no doubt that technological advancement is improving many aspects of life, changing the landscape of virtually all industries and enhancing production beyond what was thought possible. However, the human is still a part of these systems. Consequently, as the advancement of systems transpires, the role of humans within those systems will unavoidably continue to adapt as well. Due to the human tendency for error, this technological advancement should compel a persistent emphasis on human error reduction as part of maximizing system efficiency and safety-especially in the context of the nuclear industry. Within this context, as new systems are designed and the role of the human is transformed, human error should be targeted for a significant decrease relative to predecessor systems and an equivalent increase in system stability and safety. This article contends that optimizing the roles of humans and machines in the design and implementation of new types of automation in nuclear facility systems should involve human error reduction without ignoring the essential importance of human interaction within those systems.

Structural Analysis and Safety of FCT Inspection Automation System (FCT 검사 자동화 System의 구조해석 및 구조 안전성에 관한 연구)

  • Jeong, Hae-Jin;Lee, Jong-Chan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.7
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    • pp.114-119
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    • 2022
  • The analysis conditions were established using the self-weight of the FCT automation equipment, and natural frequency analysis was performed under the same conditions. For the structural analysis, 3D modeling was performed using Inventor, and structural analysis was performed using the Ansys workbench. From the structural analysis, it was concluded that the resulting values of the stress and deformation of the equipment do not affect the equipment. From the dynamic analysis, the resonance does not occur in the equipment driving area, and thus it is judged to be stable.

Experimental Study of Large-amplitude Wavefront Correction in Free-space Coherent Optical Communication

  • Guo, Qian;Cheng, Shuang;Ke, Xizheng
    • Current Optics and Photonics
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    • v.5 no.6
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    • pp.627-640
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    • 2021
  • In a free-space coherent optical communication system, wavefront distortion is frequently beyond the correction range of the adaptive-optics system after the laser has propagated through the atmospheric turbulence. A method of residual wavefront correction is proposed, to improve the quality of coherent optical communication in free space. The relationship between the wavefront phase expanded by Zernike polynomials and the mixing efficiency is derived analytically. The influence of Zernike-polynomial distortion on the bit-error rate (BER) of a phase-modulation system is analyzed. From the theoretical analysis, the BER of the system changes periodically, due to the periodic extension of wavefront distortion. Experimental results show that the BER after correction is reduced from 10-1 to 10-4; however, when the closed-loop control algorithm with residual correction is used, the experimental results show that the BER is reduced from 10-1 to 10-7.

Respiratory Motion Correction on PET Images Based on 3D Convolutional Neural Network

  • Hou, Yibo;He, Jianfeng;She, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.7
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    • pp.2191-2208
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    • 2022
  • Motion blur in PET (Positron emission tomography) images induced by respiratory motion will reduce the quality of imaging. Although exiting methods have positive performance for respiratory motion correction in medical practice, there are still many aspects that can be improved. In this paper, an improved 3D unsupervised framework, Res-Voxel based on U-Net network was proposed for the motion correction. The Res-Voxel with multiple residual structure may improve the ability of predicting deformation field, and use a smaller convolution kernel to reduce the parameters of the model and decrease the amount of computation required. The proposed is tested on the simulated PET imaging data and the clinical data. Experimental results demonstrate that the proposed achieved Dice indices 93.81%, 81.75% and 75.10% on the simulated geometric phantom data, voxel phantom data and the clinical data respectively. It is demonstrated that the proposed method can improve the registration and correction performance of PET image.