• Title, Summary, Keyword: Human -Error System Diagram

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A method and analysis of human-error management of a semiconductor industry (반도체산업에서의 인적오류제어방법 및 연구)

  • Yoon Yong-Gu;Park Peom
    • Journal of the Korea Safety Management & Science
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    • v.8 no.1
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    • pp.17-26
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    • 2006
  • Basis frame-work's base in a semiconductor industry have gas, chemical, electricity and various facilities in bring to it. That it is a foundation by fire, power failure, blast, spill of toxicant huge by large size accident human and physical loss and damage because it can bring this efficient, connect with each kind mechanical, physical thing to prevent usefully need that control finding achievement factor of human factor of human action. Large size accident in a semiconductor industry to machine and human and it is involved that present, in system by safety interlock defect of machine is conclusion for error of behaviour. What is not construing in this study, do safety in a semiconductor industry to do improvement. Control human error analyzes in human control with and considers mechanical element and several elements. Also, apply achievement factor using O'conner Model by control method of human error. In analyze by failure mode effect using actuality example.

A Study on the Railway Control by Creation of the Causal Loop Diagram- - Centering on railroad safety management system technical standards 11.7 - (인과순환지도(CLD) 작성을 통한 철도관제업무에 관한 연구 - 철도안전관리체계 기술기준 11.7 철도관제를 중심으로 -)

  • Park, Jung Soo;Lee, Sang Oh
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.287-298
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    • 2018
  • This research is intended to understand and make practical suggestions on various aspects of the railroad traffic controllers focusing on railroad control of the railroad safety management system's technical standards. The method of analysis is using the causal loop diagram, which is the soft method of System Dynamics. Content of analysis is about the system. 11.7 of the work of the railroad control system. In addition, we compared and analyzed railroad controllers by four railroad operators, suggesting the importance of railroad control and future practical improvement plans.

Multi-classifier Fusion Based Facial Expression Recognition Approach

  • Jia, Xibin;Zhang, Yanhua;Powers, David;Ali, Humayra Binte
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.1
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    • pp.196-212
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    • 2014
  • Facial expression recognition is an important part in emotional interaction between human and machine. This paper proposes a facial expression recognition approach based on multi-classifier fusion with stacking algorithm. The kappa-error diagram is employed in base-level classifiers selection, which gains insights about which individual classifier has the better recognition performance and how diverse among them to help improve the recognition accuracy rate by fusing the complementary functions. In order to avoid the influence of the chance factor caused by guessing in algorithm evaluation and get more reliable awareness of algorithm performance, kappa and informedness besides accuracy are utilized as measure criteria in the comparison experiments. To verify the effectiveness of our approach, two public databases are used in the experiments. The experiment results show that compared with individual classifier and two other typical ensemble methods, our proposed stacked ensemble system does recognize facial expression more accurately with less standard deviation. It overcomes the individual classifier's bias and achieves more reliable recognition results.

MCB ladder diagram modeling for Rolling stock using Petri Net formalism (Petri Net 형식론을 이용한 철도차량 주차단기 제어회로 모델링)

  • Choi, Kwon-Hee;Ahn, Hong-Kwan;Kim, Jae-Gi;Song, Joong-Ho
    • Proceedings of the KSR Conference
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    • pp.1897-1902
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    • 2008
  • The computer system is used in many application domains and any system error in these domains may either cause critical loss or threaten environment or human life. Though examples of these domains can be found in many areas, the system, which is used in domains for carrying passengers including rolling stocks in particular, is expected to show satisfactory operation all the time. The relay control logic, which is used in rolling stocks, is complex in hardware and occupies considerably large volume. Nevertheless, it has been used for a long time, to let the system safely operate even in the occurrence of an error in the computer system. However, the relay control logic circuit is so complex that the analysis of proper circuit operation and interlocking tends to be dependent only on the designer's experiences instead of being systematically performed. Especially, the analysis following a change, addition and deletion of a previous circuit according to the requirements from a source of demand is significantly limited. In this paper, the accuracy of relay control logic is verified by the use of properties of Petri Net model. In addition, how main circuit breaker (MCB) control circuit is modeled and analyzed by the design methodology is shown.

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A Recognition Algorithm for Handwritten Logic Circuit Diagrams Using Neural Network (신경회로망을 이용한 손으로 작성된 논리회로 도면 인식 알고리듬)

  • Kim, Dug-Ryung;Park, Sung-Han
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.10
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    • pp.68-77
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    • 1990
  • In this paper, a neural patten recognition method for the automatic circuit diagram reading system is proposed. The proposed procedure to recognize a deformed logic symbols is composed of three stages: feature detection, log mapping, and pattern classification. In the feature detection stage, a modified competitive learning algorithm where each pattern has the inhibition weight as well as the activation weight is developed. The global information of hand-written logic symbols is obtained by the feature detection neural network having both the inhibition and activation weights. The obtained global data is then transformed into a log space by the conformal mapping where according to the Schwartz's theory about the human visual signal process-ing, the degree of rotation and the scale change are mapped into the translation change. Logic symbols are finally classified by a three layer perceptron trained by the error back propagation algorithm. The computer simulation demonstrates that the proposed multistage neural network system can recognize well the deformed patterns of hand-written logic circuit diagrams.

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The Error Diffusion halftoning Method Using Information of Edge Enhancement (에지 강조 정보를 이용한 오차확산 해프토닝)

  • Kwak Nae Joung;Ahn Jae Hyeong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3
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    • pp.107-114
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    • 2005
  • Edge enhanced image is needed for processing images for special purpose such as a circuit diagram or a design composed of lines. Error diffusion halftoning, among digital halftoning methods to represent a continuous grayscale image for the binary output device such as printers, facsimiles, LCD televisions and etc. also makes edges of objects blurred. This paper proposes the method to enhance the edge of a binary image for the binary output device as well as a circuit diagram or a design. Based on that the human eyes perceive the local average luminance rather than the pixel's luminance itself, the proposed system uses a local activitymeasure (LAM), which is the difference between a pixel luminance and the average of its $3{\times}3$ neighborhood pixels' luminances weighted according to the spatial positioning. The system also usesinformation of edge enhancement(IEE), which is computed from the LAM multiplied by the average luminance. The IEE is added to the quantizer's input pixel and feeds into the halftoning quantizer. The quantizer produces the halftone image having the enhanced edge. The simulation results show that the proposed method produces more fine halftoning images than conventional methods due to the enhanced edges. Also the performance of the proposed method is compared with that of the conventional method by measuring the edge correlation and the local average accordance over a range of viewing distances.