• Journal of the Korean Institute of Gas
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• v.20 no.5
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• pp.57-63
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• 2016

Though a valve is a very important part in a system to control properly, it has potential failure caused by gap from valve stem to ball connection, and abrasion, crack, fixation causing operational trouble and accidents. 64% of the valve failure in the real case was the failure of airtightness and most accidents of leakage and explosion were occurred while fixing the failure. While there are no proper safety manual, maintenance procedure and regulation for industrial valves excluding safety valve, safety management for the valves is left to the discretion of the maintenance company. Strict maintenance that removes hazards and emergency response procedure are required to prevent and reduce the loss of accident. This study suggests safety enhancement measures through valve monitoring by investigating the status of use of valve and current maintenance. Enhancement of gas safety management can be acquired by a monitoring system that provides diagnosis for valve status, monitoring real-time gas leakage, management of entire cycle lifetime that can reduce maintenance cost.

• Journal of the KSME
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• v.29 no.2
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• pp.118-124
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• 1989

피로파괴의 발생원인을 살펴보면 다음과 같이 4가지로 구별된다. (1) 설계불량 (2) 가공불량 (3) 소재불량 (4) 부적절한 사용 그러나 현재 기계설계시 일반적으로 형상계수 및 충격계수를 포함한 안전율을 여유있게 고려하기 때문에 피로강도가 간접적으로 설계시 반영되어 피로파괴는 주로 가공이나 원소재 불량 및 사용상의 부주의에 의한 경우가 대부분이다. 즉 기계가공 도중에 노치가 유입되어 응력집중을 발생시키거나, 규정된 표면처리 혹은 열처리가 이루어지지 못해서 재료의 피로강도가 저하한 경우가 많으며, 소재 역시 비금속 개재물이 다량 함유되어 있거나 열처리 특성이 조악한 소재가 사용되어 요구되는 강도를 확보하지 못한 경우도 많다. 그 반면 사용자 측에서도 설계강도를 무시한 과부하를 인가하거나, 부식환경 혹은 고온에서 사용하여 피로파괴를 촉진시키는 경우도 있으므로 사용자도 설계조건을 인식하여 그 한계를 넘지 않도록 해야 한다. 피로파괴는 단순한 원인에 의한 경우가 적고 복잡한 여러 형상이 중첩되는 경우가 많기 때문에 해석하기 어려운 경우가 많다. 결국 피로 파괴의 방지는 피로강도를 저하시킬 수 있는 요인들을 종합하여 설계단계에서부터 최종 사용단계까지 지속적인 관리에 의해서만 달성 될 수 있다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.148-151
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• 2006

This paper is to design materials management system using RFID which is the core technology of ubiquitous. With existing materials management system, it is hard to manage and analysis effectively. But RFID can be the solution of these problems. In this research, it will be studied how to analysis materials management system Workflow and shall be adapted context awareness technology in order to effective materials management as well as input/output function. Also it shall be completed state management process, position management process, badness management process and be designed PDA interface in order to display the most suitable data.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.189-197
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• 2008

Using a 5 year(2003 to 2007) pavement condition survey data from the highway pavement management system(HPMS), the roughness of the bridge deck pavement was analyzed. Based on the result of this analysis, this study tried to identify the factors affecting the deterioration of the bridge deck pavement condition. The data from HPMS indicates that the roughness of the bridge deck pavement is worse than that of the general pavement on the roadbed. The worse roughness of the bridge deck pavement is caused by the settlement of approach slab as well as the surface distress on the bridge deck pavement. In order to improve effectively the roughness of the bridge deck pavement, a management system was established in which not only the regular automated pavement condition survey to check the distress of surface of the bridge deck pavement was adopted but an automated surface profiler to check the degree of settlement of approach slab was applied.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.2
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• pp.65-70
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• 2015

In the PCB(Printed Circuit Board) manufacturing industry, the yield is an important management factor because it affects the product cost and quality significantly. In real situation, it is very hard to ensure a high yield in a manufacturing shop because products called chips are made through hundreds of nano-scale manufacturing processes. Therefore, in order to improve the yield, it is necessary to analyze main fault process and equipment that cause low PCB yield. This paper proposes a systematic approach to discover fault-causing processes and equipment by using a logistic regression and a stepwise variable selection procedure. We tested our approach with lot trace records of real work-site. A lot trace record consists of the equipment sequence that the lot passed through and the number of faults for each fault type in the lot. We demonstrated that the test results reflected the real situation of a PCB manufacturing line.

• Monthly Duck's Village
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• s.56
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• pp.38-40
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• 2008

모든 가축사양에 있어 물은 매우 중요하다. 하지만 그보다도 더욱 결정적인 것은 사료이므로 매우 주의해 관리해야 한다. 그러므로 사료는 일정기간 동안 사료의 품질을 유지할 수 있는 적정한 시설에 보관하는 것 역시 매우 중요하다. 모든 농장에서 사료를 적절히 보관하는 것은 필수적인 관리 항목이다. 불량한 상태의 시설에 사료를 보관하면 품질이 떨어지기 때문이다. 이는 결국 사육하는 가축의 성장을 늦추고 영양균형을 깨뜨리면서 건강상의 문제가 발생하고 높은 폐사율로 이어질 수밖에 없다.

• The tire
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• s.240
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• pp.32-35
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• 2009

우리협회는 타이어 정비불량으로 인한 교통사고를 예방하고 올바른 타이어의 관리 및 사용방법을 홍보하고자 업계와 공동으로 타이어 안전사용 검사 및 서비스를 매년 실시하고 있다. 본고는 우리협회가 운전자들의 타이어 안전사용 관리에 관한 실태 파악을 위해 금년 $3{\sim}8$월까지 총 6회에 걸쳐 실시한 안전검사와 7, 8월에 실시한 타이어 안전관리에 대한 운전자의 관심도 설문조사 결과를 정리한 것이다.

• Journal of IKEEE
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• v.27 no.3
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• pp.345-349
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• 2023

In this paper, we propose a study on the development of deep learning structure for defective pixel detection of next-generation smart LED display board using imaging device. In this research, a technique utilizing imaging devices and deep learning is introduced to automatically detect defects in outdoor LED billboards. Through this approach, the effective management of LED billboards and the resolution of various errors and issues are aimed. The research process consists of three stages. Firstly, the planarized image data of the billboard is processed through calibration to completely remove the background and undergo necessary preprocessing to generate a training dataset. Secondly, the generated dataset is employed to train an object recognition network. This network is composed of a Backbone and a Head. The Backbone employs CSP-Darknet to extract feature maps, while the Head utilizes extracted feature maps as the basis for object detection. Throughout this process, the network is adjusted to align the Confidence score and Intersection over Union (IoU) error, sustaining continuous learning. In the third stage, the created model is employed to automatically detect defective pixels on actual outdoor LED billboards. The proposed method, applied in this paper, yielded results from accredited measurement experiments that achieved 100% detection of defective pixels on real LED billboards. This confirms the improved efficiency in managing and maintaining LED billboards. Such research findings are anticipated to bring about a revolutionary advancement in the management of LED billboards.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.6 s.171
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• pp.135-143
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• 2005

The shoes process management monitoring system for supporting SCM is developed in this study. This system consists of a monitoring program, a conveyer system, a pneumatic unit, a controller, an USB camera, and a server and a client computer. To operate the developed system easily, the monitoring program using LabVIEW in the Windows environment is developed. This program consists of 5 modules: production management, inventory control, media management, defective management, and communication management. The developed system has several advantages: reduced time for managing process work, decreased labor costs, effective operation, and continuous work without an operator. Nowadays advanced manufacturing companies are trying to find a way to check the performance of their production equipments and plants from remote sites. Thus, to manage the developed system from remote sites, communication network is constructed. In order to evaluate the performance of the monitoring system, experiments were performed. The experimental results showed that the developed system provided a reliable performance and a stable communication.

• Journal of the korean veterinary medical association
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• v.49 no.7
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• pp.410-413
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• 2013