• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.561-564
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• 2004

Crack sealing automation machines' have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). It is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose a crack network mapping and modeling algorithm using neural network for improving the accuracy of the algorithm used in the APCS. It is anticipated that the effective use of the proposed algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.90-105
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• 2004

Machines for crack sealing automation have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). Moreover, it is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose machine vision algorithms (digital image processing algorithm and path planning algorithm) for fully automated pavement crack sealing. It is anticipated that the effective use of the proposed machine vision algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.2
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• pp.161-168
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• 2013

Nowadays, one of the most interested area of automobile industry is the production of vehicle which has collision safety and ability to produce less amount of $CO_2$. The achievement of such a dual performance is done by choosing the materials like dual phase steel, ferrite bainite steel, etc. These steels have been used in automotive chassis and body parts, and also used to be formed by hole flanging to meet the goal of strength and design requirement. The formability of sheet material was experimented by hole expansion test and the judgement relies on human eye and his experience. This manual judgement involves many errors and large deviation. This paper develops the automatic crack recognition system which finds a crack based on CCD image to complement the problem of the current method depending on human's sense.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.539-542
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• 2002

Crack sealing is a maintenance procedure that is commonly used to reduce pavement degradation. If cracks in pavements are not sealed, surface water penetration can reduce the strength of the sub-base layers, which can result in increased deflections of the pavement. Reduced strength of the sub-base also accelerates the deterioration of the surface, due to development of greater cracking and potholes. Crack sealing is performed to reduce water and debris penetration, thereby helping to maintain pavement structural capacity and limiting future degradation. The process of sealing cracks in pavements is however dangerous, costly, and labor-intensive operation. Labor turnover and training are increasing problems related to crack sealing crews, and as traffic volumes increase. Automating crack sealing can reduce labor and road user costs, improve work quality, and decrease worker exposure to roadway hazards. The main objective of this research is to develop an automated system for sealing cracks in pavement. Extension of the algorithms and tools presented in this research is also recommended for future study.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.162-171
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• 2004

Crack sealing is a maintenance procedure that is commonly used to reduce pavement degradation. If cracks in pavements are not sealed, surface water penetration can reduce the strength of the sub-base layers, which can result in increased deflections of the pavement. Reduced strength of the sub-base also accelerates the deterioration of the surface, due to development of greater cracking and potholes. Crack sealing is performed to reduce water and debris penetration, thereby helping to maintain pavement structural capacity and limiting future degradation. The process of sealing cracks in pavements is however dangerous, costly, and labor-intensive operation. Labor turnover and training are increasing problems related to crack sealing crews, and as traffic volumes increase. Automating crack sealing can reduce labor and road user costs, improve work quality, and decrease worker exposure to roadway hazards. The main objective of this research is to develop an automated system for sealing cracks in pavement. Extension of the algorithms and tools presented in this research is also recommended for future study.

• The Korean Journal of Financial Studies
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• v.7 no.1
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• pp.171-195
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• 2001

본 연구의 목적은 실물옵션이론을 바탕으로 정유회사의 가치평가기법을 제공하는 것이다. 정유회사는 가치평가를 위해서 회계적 가치외에 관리적 유연성(managerial flexibility)을 고려해야 하기 때문에 기존의 DCF방법을 적용하기 보다는 실물옵션방법을 이용하여야 한다. 관리적 유연성은 회사관리자가 적용가능한 생산관리적 기법으로서 회사의 미래현금흐름에 영향을 주고 따라서 회사의 가치에 영향을 미친다. DCF방법은 이러한 관리적 유연성을 적절히 고려하지 못하여 회사의 가치를 저평가하는 오류를 발생시킨다. 반면 실물옵션방법은 관리적 유연성을 가치평가에 있어서 주요 변수를 인식하기 때문에 정확한 가치평가의 수단이 된다. 옵션가격결정을 위한 기초자산은 크랙스프레드(crack Spread)이다. 크랙스프레드는 경유(heating oil)와 무연휘발유(unleaded gasoline)의 가격과 원유(crude oil) 가격의 차이를 나타내며 정유회사의 정유순익(gross refining margin)을 대표한다. 실물옵션방법에 의한 정유회사의 가치는 DCF방법에 의한 가치보다 두 배가 크다는 결론을 제시한다. 즉 관리적 유연성이 존재하는 회사의 경우는 가치평가에 있어서 실물옵션방법을 이용하여 가치를 저평가하는 오류를 범하지 않아야 한다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.2
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• pp.205-210
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• 2014

Recently, pattern recognition methods have been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov models (HMMs) and artificial neural networks (ANNs) have recently been used as pattern recognition methods in various fields. In this study, a HMM-ANN hybrid method for the fault diagnosis of a mechanical system is introduced, and a rotating wind turbine blade with a crack is selected for fault diagnosis. The existence, location, and depth of said crack are identified in this research. For improving the diagnostic accuracy of the method in spite of the presence of noise, a moment with a few specific frequencies is applied to the structure.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.9
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• pp.922-928
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• 2009

This thesis puts forward a suggestion of measuring inner crack and center segregation in steel processing by using scanner and image processing with sulfur printer. To sum up, there are three points in this system. First, it scans sulfur printer and process the image by using histogram, image processing, and the mask. Second, it measures crack and center segregation by the fictitious image and output the length, thickness, exponent and grade on the mornitor. And finally, it gathers the measurement result image and data at the server and this information is used as data for the next casting.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.620-623
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• 2022

최근 이메일 해킹사고의 유형을 살펴보면 사회공학적인 기법을 활용한 피싱메일 공격이 대다수를 차지하고 있는 상황이다. 그중 사용자의 패스워드를 빼내기 위한 공격메일이 기존 첨부파일에 악성코드를 삽입해서 보내지는 방식보다 월등히 높아졌다고 할 수 있다. 이는 공격자가 이메일 내용에 관심이 높아진 것으로 이메일은 사용자의 성향, 직업, 라이프스타일 파악뿐만 아니라 해커가 원하는 중요자료가 저장되어 있을 가능성이 매우 높으며 또 다른 공격대상자를 선정할 수 있는 좋은 창구가 될 수 있을 것이기 때문이다. 만일 피싱메일에 노출되어 패스워드가 해커의 손에 넘어 갔다면 많은 보안대책이 무용지물이 된다. 많은 보안 전문가들은 패스워드를 8자리 이상으로 하되 영문대·소문자와 숫자 그리고 특수문자를 포함하고, 사이트별 규칙성이 없이 모두 다르게 설정해야 하며, 정기적으로 바꿔야 한다고 조언한다. 이러한 조언은 패스워드를 크랙할 경우 안전할 수 있지만 요즘처럼 한 개인이 100여개 이상의 사이트에 대한 패스워드를 관리해야 한다면 현실적으로 불가능한 조언이 되고 말 것이다. 이러한 상황에 2017년 6월 미국 국립표준기술연구소(NIST)에서 '특별 간행 800-63-3: 디지털 인증 가이드라인'을 발표하게 된다. 내용은 그동안 보안전문가들이 권고했던 내용과는 많은 차이가 있다. 오히려 자주 바꾸는 것이 문제가 될 수 있다는 내용이다. 자세한 내용은 본 논문에서 살펴보도록 한다. 우리는 스마트폰 등을 사용함으로써 2-Factor인증에 활용하고 있다. 스마트폰 인증의 대표적인 방법은 지문·얼굴인식 등 생체인증 방식을 사용한다. 패스워드 없이도 편리하고 안전하게 인증을 할 수 있다는 점이 장점이다. 이러한 상황에 FIDO라는 인증 프레임워크가 인기를 얻고 있다. FIDO(Fast IDentity Online)는 비밀번호의 문제점을 해결하기 위한 목적으로 FIDO 얼라이언스에 의해 제안된 사용자 인증 프레임워크다. 향후 FIDO로의 대체가 패스워드 문제의 대안이 될 수 있을 것이다. 이제는 패스워드 대신 생체인증 체계로 대체할 수 있는 시대가 되었다고 할 수 있다. 본 논문에서는 패스워드의 문제점을 살펴보고 이를 대체할 수 있는 FIDO기반의 인증체계가 대안이 될 수 있는 근거를 제시하고자 한다.

• Journal of the Korean Society of Safety
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• v.12 no.4
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• pp.214-219
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• 1997

The mechanical seals, which are installed in rotating machines like pump and compressor, are generally used as sealing devices in the many fields of industries. The failure of mechanical seals such as leakage, crack, breakage, fast and severe wear, excessive torque, and squeaking results in big problems. To identify abnormal phenomena on mechanical seals and to propose the proper monitoring parameter for the failure of mechanical seals, sliding wear experiments were conducted. Acoustic emission, torque, and temperature were measured during experiments. Optical microstructure was observed for the wear processing after every 10 minute sliding at rotation speed of 1750 rpm and scanning electron microscopy was also observed. Except for the initial part of every experiment, the variation of acoustic emission was well coincided with torque variation during the experiments. This study concludes that acoustic emission and torque are proper monitoring parameters for the failure of mechanical seals. The intensity of acoustic emission signals is measured in root mean square voltage. Temperature of sealing face will be used as a parallel parameter for increasing the reliability of monitoring system.