• Title/Summary/Keyword: automatically

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The Development of PC based Panel Working Security System using Industrial Ethernet (산업용 Ethernet을 이용한 PC기반 패널작업 보안시스템 구축)

  • Song, Myung-Hyun;Park, Kyu-Nam;Han, Dong-Gi;Woo, Hyeok-Jae;Youm, Gyu-Il
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.56 no.2
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    • pp.99-103
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    • 2007
  • In this paper, one type of a security system for panel working is suggested. The industrial Ethernet is used for open-close door control of the working panel and for monitoring the working panel is correct or not. Especially to upgrade the security system, a remote approval function of panel working by using the given approval number, a remote monitoring function for checking the approved panel is currently working or not, and an alarming function for keying the unapproved number or opening the disapproved panel, are added for preventing and reducing the intentional working error. Also the worker and working time are stored in PC automatically in exel file for detecting the working error. To show the possibility of suggested security system. two-working panel system is prepared and studied.

An obstacle avoidance system of an unmanned aerial vehicle using a laser range finder

  • Kim, Hyun;Miwa, Masafumi;Shim, Joonhwan
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.7
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    • pp.737-742
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    • 2013
  • Recently, unmanned aircrafts for safe measurement in hazardous locations have been developed. In a method of operation of unmanned aircraft vehicles (UAV), there are two methods of manual control and automatic control. Small UAVs are used for low altitude surveillance flights where unknown obstacles can be encountered. Obstacle avoidance is one of the most challenging tasks which the UAV has to perform with high level of accuracy. In this study, we used a laser range finder as an obstacle detector in automatic navigation of unmanned aircraft to patrol the destination automatically. We proposed a system to avoid obstacles automatically by measuring the angle and distance of the obstacle using the laser range finder.

Controller Auto-tuning Scheme for Improving Feedback System Performance in Frequency Domain (주파수역에서의 피드백시스템의 성능향상을 위한 제어기 Atuo-tuning 기법)

  • 정유철;이건복
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.3
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    • pp.26-30
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    • 2001
  • Controller refinement scheme to improve the performance of a conventional system automatically in frequency domain is proposed. The controller automatic tuning method features using experimental frequency responses of the conventional closed-loop system, the conventional controller, and the improved closed-loop system, instead of poorly modeled plant due to non-linearities and disturbances. The improved closed-loop system characteristics is automatically acquired by the con-ventional closed-loop system characteristics and the proposed performance index in system bandwidth. And the proper controller is realized by least squares approximation in frequency domain. To testify the usefulness of the approach, the path tracking control of robot arm is performed. Experimental results and analytic results are well-matched.

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Addendum Surface Modeling in Draw Die Design for Stamping Automotive Panels (자동차 프레스 패널 성형을 위한 드로 금형의 어덴덤 곡면 모델링)

  • Chung, Yunchan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.6
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    • pp.1018-1024
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    • 2013
  • In the process of draw die design for stamping automotive press panels, the addendum surfaces generated in metal forming simulation software cannot be used in downstream processes such as machining and making draw dies because simulation tools use simple discrete models for the surface geometry. The downstream processes require more precise and continuous geometric models such as NURBS surfaces. Generally, automotive die engineers manually regenerate the addendum surface geometry using the discrete model. This paper presents an automated geometric modeling process for generating addendum surfaces using draft surface models. The design parameters of the section curve for the addendum surfaces are extracted automatically from the draft geometry. Using the extracted design parameters, smooth addendum surfaces are generated automatically as NURBS surfaces. The generated surfaces are $G^1$ continuous with the part surface and the binder surface, and can be used in downstream processes.

Design of Geometric Adaptive Controller for the Shaft Straightening Machine (축교정기용 기하학적 적응제어기 설계)

  • 안중용;안동철;김승철;정성종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.623-627
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    • 1995
  • This paper deals with the process which automatically straightens the shaft whose straightness is over the tolerance. The developed straightening process is composed of the measuring module and the control module. In the measuring module, the deflection of each measuring point is automatically measured, and the press point and the reference press stroke is determined. In the control module, the springback is predicted by the observer using the calculated reference press stroke and on-line-measured force and deflection. Through a series of experiments, the validity of the proposed process was verified.

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Automated machinability checking for sculptured surface manufacture

  • Kim, Kwangsoo;Ko, Byungchul
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1992.04b
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    • pp.299-308
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    • 1992
  • Determining tool-approach directions is an important issue when an effort is made to transfer CAD data into manufacturing automatically. An algorithm is developed to determine whether a given part can be machined on a three-axis milling machine. lf a set of feasible tool-approach directions exists for a sculptured surface, the NC tool path and G-codes for machining the surface on a three-axis milling machine can be generated automatically by an NC tool path generation algorithm. The algorithm can be used for orientation and fixturing of the workpiece for interference free machining. The algorithm can also be applied to checking the translational separability of polyhedral parts in automatic assembly.

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A Study on DB base Auto Cultivation of Crops Using IOT (IOT를 이용한 DB기반 농작물 자동재배에 관한 연구)

  • Cho, Youngseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.25-31
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    • 2017
  • In this paper, we propose a study on DB-based automatic crop cultivation that obtains crop cultivation data using IOT and automatically controls the cultivation environment using it. A system for DB-based automatic crop cultivation that automatically controls the cultivation environment is composed of a management server and a local controller. The management server was implemented using the MySQL DB in the Linux server system, and the local controller was designed and manufactured using the WiFi module and ARM Coretax-3 series MCU and confirmed its operation in the laboratory. The purpose of this study is to provide the optimal cultivation data and to grasp the cultivation status in real time when the knowledge of professional cultivation is needed like the farmers of ear farm villages. Research should continue to enable the cultivation of crops to reflect the requirements of each user.

Automated data interpretation for practical bridge identification

  • Zhang, J.;Moon, F.L.;Sato, T.
    • Structural Engineering and Mechanics
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    • v.46 no.3
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    • pp.433-445
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    • 2013
  • Vibration-based structural identification has become an important tool for structural health monitoring and safety evaluation. However, various kinds of uncertainties (e.g., observation noise) involved in the field test data obstruct automation system identification for accurate and fast structural safety evaluation. A practical way including a data preprocessing procedure and a vector backward auto-regressive (VBAR) method has been investigated for practical bridge identification. The data preprocessing procedure serves to improve the data quality, which consists of multi-level uncertainty mitigation techniques. The VBAR method provides a determinative way to automatically distinguish structural modes from extraneous modes arising from uncertainty. Ambient test data of a cantilever beam is investigated to demonstrate how the proposed method automatically interprets vibration data for structural modal estimation. Especially, structural identification of a truss bridge using field test data is also performed to study the effectiveness of the proposed method for real bridge identification.

Temperature and Humidity Controlling of Plant in Greenhouse

  • Zhang, Zhengou;Lin, Shanling;Zhao, Hongwei
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.517-525
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    • 1993
  • In farms, forestry centres and greenhouses, the system can be used in growing seedlings of crops , breeding of plant and vegetables in cold areas. It may control all the activities automatically in temperature, humidity , sprinkling and heating. This is a closed-cycle control system controlled automatically by single-chip microcomputer. (MCS-51) The purpose of this system is to shorten the experimental cycle of crops , improve the survival rate of crops breeding, and ensure the growth of vegetables in the cold areas. Therefore, it can be used widely.

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A Study on the Recognition of Concrete Cracks using Fuzzy Single Layer Perceptron

  • Park, Hyun-Jung
    • Journal of information and communication convergence engineering
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    • v.6 no.2
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    • pp.204-206
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    • 2008
  • In this paper, we proposed the recognition method that automatically extracts cracks from a surface image acquired by a digital camera and recognizes the directions (horizontal, vertical, -45 degree, and 45 degree) of cracks using the fuzzy single layer perceptron. We compensate an effect of light on a concrete surface image by applying the closing operation, which is one of the morphological techniques, extract the edges of cracks by Sobel masking, and binarize the image by applying the iterated binarization technique. Two times of noise reduction are applied to the binary image for effective noise elimination. After the specific regions of cracks are automatically extracted from the preprocessed image by applying Glassfire labeling algorithm to the extracted crack image, the cracks of the specific region are enlarged or reduced to $30{\times}30$ pixels and then used as input patterns to the fuzzy single layer perceptron. The experiments using concrete crack images showed that the cracks in the concrete crack images were effectively extracted and the fuzzy single layer perceptron was effective in the recognition of the extracted cracks directions.