• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2005.11a
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• pp.335-338
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• 2005

본 논문에서는 기존의 수질측정 방법인 검사자가 수질 오염 측정기를 가지고 오염된 곳이나 오염이 예상되는 곳의 수질을 현장에서 측정 및 조사하거나, 오염된 물을 채취하여 수질 검사소에서 검사를 하여 측정하였다. 즉 이러한 수질 측정 방법은 실시간 측정이 어려우며, 수질의 상태를 정확히 측정하는데 한계가 있다. 이러한 한계점을 해결하기 위해 본 논문에서는 수질오염 측정 장치와 RFID(Radio Frequency Identification)기술을 이용하여 기존의 수질 오염 측정 방법을 제안하였다. 즉 전체 시스템이 자동적으로 처리되고, 수질 측정이나 실시간 모니터링을 통해서 관리가 되므로, 관리자는 수집 데이터의 분석이나 관리, 감시를 효율적으로 처리할 수 있도록 하였다.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2010.04a
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• pp.176-176
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• 2010

현재 국내 에너지 설비의 안전에 대한 관심이 고조되면서 안전 관련 기술(수명, 정비, 사고 관련 모든 기술)의 개발, 도입이 활발히 이루어지고 있다. 하지만, 많은 경우 기반기술 연구에 집중되어 있어 이를 융/복합하여 현장에 활용할 수 있는 응용기술 개발이 요구되고 있다. 에너지 플랜트 설비(발전, 석유화학 및 정유 플랜트 등)의 최적 안전 관리를 위해서는 설비의 위험도(risk)에 근거한 관리가 가장 이상적이며, 이를 위해서는 기준이 될 수 있는 위험도 기반 검사(risk-based inspection, RBI) 가이드라인과 사용자가 쉽고 효율적으로 위험도를 관리할 수 있는 도구 즉 시스템이 필요하다. 본 연구에서는 위험도 기반 검사 가이드라인과 IT(information technology) 기술을 융/복합하여 사용자가 쉽고 효율적으로 사용할 수 있는 GUI(graphic user interface) 기반의 위험도 기반 설비 관리 시스템을 연구 개발 하였다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.788-791
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• 2010

본 논문에서는 자동차 핵심부품 중 하나인 알터네이터 수풀의 육안검사를 대체하기 위한 머신비전시스템을 설계하는 데 목적이 있다. 플라스틱 사출물인 알터네이터 스풀의 경우 일반적으로 미성형, 찍힘, 뜯김, 크랙 등의 불량 유형이 발생한다. 스풀을 고속으로 전수검사하기 위하여 설계의 실패 사례를 예로 들었고, 이를 통해 최적의 고속 자동화 머신비전 시스템을 설계하고자 한다. 3차원 설계 소프트웨어인 Pro-Engineer와 CATIA가 사용되었다. 개발 제작 될 시스템은 산업현장에 적용하여 절대적 판정의 안정성을 도모하고, 생산성 향상 및 부품의 표준화를 확립하는 데 기여할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.600-602
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• 2019

Metals are used in a variety of industrial sites and daily life. Metals are often used in machinery, automobile parts, wires, and robots. Metal causes small damage to the metal surface for a variety of reasons, such as the processing process and the user's operating environment. In this paper, phase detection for the inspection of defects in metals has been implemented. Using the electrical conductivity of metal, a circuit whose phase varies with the depth and size of the defect, and with the changed phase, the depth and size of the defect can be estimated.

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.2
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• pp.145-152
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• 2009

Currently almost all in-service-inspection techniques, applied in domestic nuclear power plants, are partial to field inspection technique. These kinds of techniques are related to managing nuclear power plants by the operation of foreign-produced inspection devices. There have been so many needsfor development of native in-service-inspection device because there is no native diagnosis device for nuclear power plant inspection yet in Korea. In this research, we developed several core techniques to make an automated ultrasonic pipe inspection system for nuclear power plants. A high performance multi-channel ultrasonic pulser/receiver module, an A/D converter module and a digital main CPU module were developed and the performance of the developed modules was verified. The S/N ratio, noise level and signal acquisition performance of the developed modules showed proper level as we designed in the beginning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2452-2457
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• 2012

When a quality inspection process rejects a product unit, consecutive repeated inspections are sometimes conducted for the rejected unit to reduce a false reject possibility. This paper analyzes a special inspection process that allows up to two times of consecutive testing for each product to decrease type I inspection errors. This study uses a Markov chain to model the steps of the inspection process and a product unit's quality states during inspection. Historical inspection results from a company are used as the data for the Markov chain model. Using the Markov chain model and data, this study analyzes the effect of this special inspection rule on the proportion of the final quality levels and scrap rate. The results demonstrate that this inspection process of possible double testing could help reduce unnecessary rejects and consequently decrease material and production costs.

• Journal of the Korean Society for Nondestructive Testing
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• v.13 no.3
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• pp.24-30
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• 1993

The necessity of ultrasonic inspection to detect the cracks in turbine blade is being increased as the forced outage of nuclear power plants have been occurred due to blade failure in turbine components. However, the complex blade root geometry causes the ultrasonic inspection technique not to be established yet and much effort is required to set up a more reliable inspection. In this paper, the ultrasonic inspection technique for flaw detectability, skew angle effect, identification of flaw and geometric signal have been investigated with a test block and discussed the interpretation of ultrasonic signal through the acquisition and analysis of RF waveform. The experimental results show that the proper examination procedure can be established. It is required that the skew angle is essential to decrease the effect of signals from the complex blade geometry. The present results of this study can be applied to the site inspection without blade disassembly.

• Analytical Science and Technology
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• v.17 no.3
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• pp.211-216
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• 2004

Commercial one-step rapid fecal occult blood (FOB) kit which was used as a screening test to detect traces of blood in stool samples was evaluated for the feasibility of the forensic identification of human blood. The sensitivity was determined and compared with the conventional Leucomalichite green (LMG) method. In addition, the specificity of the kit and the effects of various chemicals and environmental factors were examined. FOB kit was specific for human hemoglobin and more sensitive than LMG test (approximately 100 times). FOB kit showed positive band using at least 1,000,000-fold diluted human blood. The antigen was very stable regardless of storage temperature and boiling. The positive reaction was not affected by LMG and Luminol, the traditional tests for identification of bloodstain. As a results, FOB test kit could be effectively applied to identification of human blood at crime scene and crime laboratories.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.225-238
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• 2022

Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.23-29
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• 2018

To reduce the accident rate caused by the delay of corrective action, which is common in the construction site, in order to shorten the time from correcting the existing system to the corrective action, I used a time similarity check to inform the inspectors of the problem in real time, modeling the system so that corrective action can be performed immediately on site, and studied a system that can actively cope with safety accidents. The research result shows that there is more than 90% opening effect and more than 60% safety accident reduction rate. I will continue to study more effective system combining voice recognition and deep learning based on this system.