• 한국정밀공학회지
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• 제10권3호
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• pp.168-174
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• 1993

A new digital image processing method for measuring of the flank wear of cutting tool is presented. The method is based on computer vision technology in which the tool is illuminated by two halogen lamps and the wear zone is visualized using a CCD camera. The image is converted into digital pixel and processed to detect the wearland width. As a conclusion, it has been proved that the average wearland area and mzximum peak values of the flank wear width can monitored effectively to a measuring resolution of 0.01mm.

• 한국의상디자인학회지
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• 제20권2호
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• pp.31-46
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• 2018

This study was carried out to offer basic data that can be used for outdoor wear production for active senior males, emerging as a new consumer bracket in the era of rapid aging. To this end, this study modified and complemented the patterns of outdoor jackets for active senior males based on existing outdoor jackets that received the most excellent evaluation. On the basis of the research outdoor wear wearing assessment results, this study confirmed those areas to be modified and proposed areas to be considered in manufacturing outdoor wear for this demographic. As a result of existing outdoor wear's wearing assessment, the jacket of brand B was shown to be the most excellent one. This study actually designed research outdoor wear patterns by modifying the problematic parts through the addition and subtraction of spare length or circumference in the sections where fit satisfaction was low by referring to the selected brands' patterns. The research outdoor wear was designed by referring to the preferred outdoor types and colors that were highlighted in the previous survey result of consumer wearing reality, based on the designs of the outdoor wear receiving the most excellent assessment in wearing assessment. Fabric that specially glued two-layered mesh that bonded the thin membrane of synthetic resin with polyester fabric was used as the material in this study. Wearing assessment was conducted by comparing the manufactured research outdoor wear and the existing outdoor wear selected as excellently assessed outdoor wear. Consequently, this study verified that the wearing fit of the research outdoor wear was more excellent in most items. This study proposed final patterns for outdoor jackets suitable for active senior males through the modification of several items that required improvements as per the wearing assessment of the research outdoor wear.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.1607-1612
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• 2007

It necessarily follows that wear particles are generated through a friction and wear in a mechanical moving system. The wear particles are relative to the failure and the life of machine elements directly. To analyze the wear particle, its shape characteristics were calculated quantitative values such as diameter, roundness and fractal parameters by digital image processing. In this study, the histograms of shape parameters of wear particles were used for the purpose of analyzing the distribution of wear particles in various conditions. We consider that the histogram of shape parameter can be effectively represented to study a wear mechanism.

• Tribology and Lubricants
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• 제23권1호
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• pp.29-36
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• 2007

It necessarily follows that wear particles are generated through a friction and wear in a mechanical moving system. The wear particles are relative to the failure and the life of machine elements directly. To analyze the wear particle, its shape characteristics were calculated quantitative values such as diameter, roundness and fractal parameters by digital image processing. In this study, the histograms of shape parameters of wear particles were used for the purpose of analyzing the distribution of wear particles in various conditions. We consider that the histogram of shape parameter can be effectively represented to study a wear mechanism.

• 대한기계학회논문집A
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• 제32권11호
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• pp.963-969
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• 2008

The wear particles are relative to the failure and the life of machine elements directly. But it is not laid down to calculate shape parameters of wear particle. To analyze a variation of distributed characteristics of wear particles on moving conditions, its shape parameters such as diameter and roundness were calculated the quantitative values by digital image processing, and had to be defined the effective method of using those data. Up to the present, the shape parameters have been used simply into the average values. But these values are not effective to analyze a variation of distributed characteristics of occurred wear particles on moving conditions. In this study, the relative histograms of shape parameters of wear particles were used for the purpose of analyzing the distribution of wear particles in various conditions. The results showed that the relative histogram of shape parameters can be effectively represented to study a wear mechanism.

• Tribology and Lubricants
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• 제23권6호
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• pp.301-305
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• 2007

The wear particle analysis has been known as very effective method to foreknow and decide a moving situation and a damage of machine parts by using the digital computer image processing. But it was not laid down and trusted to calculate shape parameters of wear particle and wear volume. In order to apply image processing method in the foreknowledge and decision of lubricated condition, it needs to verify the reliability of the calculated data by the image processing and to lay down the number of images and the amount of wear particle in one image. In this study, the lubricated friction experiment was carried out in order to establish the optimum image capture with the SM45C specimen under experiment condition. The wear particle data were calculated differently according to the number of image and the amount of wear particle in one image.

• 한국생산제조학회지
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• 제8권6호
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• pp.71-77
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• 1999

Monitoring of Cutting tool wear is a critical issue in automated machining system and has been extensively studied for many years. An austempered ductile iron(ADI) exhibits the excellent mechanical properties and the wear resistance. ADI has generally the poor machinability due to the characteristic. This paper presents the in-process detection of flank wear of cutting tools using the acoustic emission sensor and the digital oscilloscope. The amplitude level of AE signal(AErms) is mainly affected by cutting speed and it is proportional to cutting speed. There have been the relationship of direct proportion between the amplitude level of AE signals and the flank wear width of cutting tool. The flank wear with corresponding to the tool life is successfully detected with the monitor-ing system used in this study.

• 스마트미디어저널
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• 제3권4호
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• pp.35-40
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• 2014

바이오센서와 디지털 섬유의 개발로 생체신호를 측정할 수 있는 디지털 의류는 개인의 건강, 독거노인 관리와 스포츠 활동 등 여러 분야에서 사용할 수 있다. 본 논문은 디지털 의류를 착용하여 24시간 측정된 생체신호와 GPS 정보 기반의 사용자의 스트레스 상태, 맥박, 위치, 운동량을 분석하기 위한 데이터베이스 구조와 표준 HL7 메타모델기반의 XML 문서로 저장하는 저장소를 설계한다. 저장된 정보를 분석하여 사용자의 시간에 따른 스트레스 상태 및 운동량 등을 확인 할 수 있다. 또한, 실시간으로 사용자의 맥박, 위치, 운동 강도, 응급상황을 파악할 수 시스템이다. 본 논문은 생체신호를 수집하여 분석하는 시스템구현에 대하여 기술한다.

• 한국정밀공학회지
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• 제20권4호
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• pp.136-142
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• 2003

The morphological analysis of wear debris can provide early a failure diagnosis in lubricated moving system. It can be effective to analyze operating conditions of oil-lubricated tribological system with shape characteristics of wear debris in a lubricant. But, in order to predict and recognize an operating condition of lubricated machine, it is needed to analyze and to identify shape characteristics of wear debris. Therefore, If the morphological characteristics of wear debris are recognized by computer image analysis using the neural network algorithm, it is possible to recognize operating condition of hydraulic driving members. In this study, wear debris in the lubricating oil are extracted by membrane filter (0.45 ${\mu}{\textrm}{m}$), and the quantitative values of shape parameters of wear debris are calculated by the digital image processing. This shape parameters are studied and identified by the artificial neural network algorithm. The result of study could be applied to prediction and to recognition of the operating condition of hydraulic driving members in lubricated machine systems.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.646-649
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• 2002

It can be effect on diagnosis of hydraulic machining system to analyze working conditions with shape characteristics of wear debris in a lubricated machine. But, in order to predict and estimate working conditions, it is need to analyze the shape characteristics of wear debris and to identify. Therefor, if shape characteristics of wear debris is identified by computer image analysis and the neural network, it is possible to find the cause and effect of moving condition. In this study, wear debris in the lubricant oil are extracted by membrane filter, and the quantitative value of shape characteristics of wear debris we calculated by the digital image processing. This morphological informations are studied and identified by the artificial neural network. The purpose of this study is In apply morphological characteristics of wear debris to prediction and estimation of working condition in hydraulic driving systems.