• Corrosion Science and Technology
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• 제4권1호
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• pp.29-32
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• 2005

A various structural materials are used in construction projects such as a stone, concrete, steel materials. Between of them, concrete are used widely. The compressive strength of concrete is high, and its maintenance and management is comparatively easy. The R.C Building will be superannuated as time passes. This program is generated by propagation of cracks. In order to manage such cracks, time and efforts, expense, etc. are required. In this study, glass sensors were embedding in a model beam and column and leakage of fluorescence and adhesive material was investigated. Further, currents in glass pipe were observed to find the leakage of liquid in glass pipes. Progressive cracks generated by cause the fracture of glass pipes. Therefore, the liquid become to flow and electric current stops, and the cracked part of the member can be found easily. Moreover, the adhesive delays progressive cracking system that responds in air, and the life of a structure can be made to extend. The purpose of this research is to develop of low price sensors that can perform of self-diagnosis in addition to ability of concrete repair concrete to damage.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.684-686
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• 2022

다양한 언어로 소통하고 있는 우리는 다른 언어와 교류하기 위해 번역, 통역의 존재가 필수가 되기도 한다. 하지만 음성언어를 사용하지 않는 즉, 손으로 언어를 표현하는 수어를 번역하는 통역의 존재는 아직 실현되지 않았다. 이에 본 논문에서는 MediaPipe와 OpenCV 라이브러리를 이용하여 손의 형태를 인식하고 CNN 알고리즘을 통한 텍스트 데이터화 하여 수어 동작을 학습시켜 이를 번역시켜주는 시스템을 연구한다. 이를 통해 공공기관을 이용함에 불편함을 줄이고, 농인의 의사를 보다 빠르게 파악할 수 있도록 도와주는 번역 시스템 제작하는 것에 목적이 있다.

• 한국지반공학회논문집
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• 제37권12호
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• pp.117-125
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• 2021

시민의 안전을 위협하는 지반재해 중 하나인 지반함몰이 최근 도심지에서 빈번하게 보고되고 있다. 다양한 지반함몰 발생 메커니즘 중, 하수관 손상부를 통한 토사 유실이 서울시에서 발생하는 지반함몰의 주요원인으로 나타났다. 본 연구에서는 서울시 하수관 정보와 지반함몰이 발생한 위치 정보를 기반으로 머신러닝 기법 중 하나인 랜덤 포레스트 알고리즘을 이용하여 하수관 정보로부터 손상 하수관으로 유발되는 지반함몰의 발생 여부를 예측하는 모델을 학습하였다. 모델 성능 평가 결과, 본 연구에서 도출한 모델이 지반함몰을 상당히 훌륭하게 예측할 수 있는 것으로 나타났다. 또한, 입력변수로 사용한 하수관 정보 중 하수관 길이, 해발고도, 경사, 매립 심도, 하수관 순서로 지반함몰 발생 위험에 영향을 미치는 것을 확인하였다. 본 연구의 결과는 지반함몰 위험도 지도 작성, 지하공동 탐사 계획 수립 및 하수관 정비 사업 계획 수립의 기초 자료로 활용될 수 있을 것으로 기대된다.

• Smart Structures and Systems
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• 제15권1호
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• pp.41-55
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• 2015

This study proposes a laser based impedance measurement system and impedance based pipe corrosion and bolt-loosening monitoring techniques under temperature variations. For impedance measurement, the laser based impedance measurement system is optimized and adopted in this paper. First, a modulated laser beam is radiated to a photodiode, converting the laser beam into an electric signal. Then, the electric signal is applied to a MFC transducer attached on a target structure for ultrasonic excitation. The corresponding impedance signals are measured, re-converted into a laser beam, and radiated back to the other photodiode located in a data interrogator. The transmitted impedance signals are treated with an outlier analysis using generalized extreme value (GEV) statistics to reliably signal off structural damage. Validation of the proposed technique is carried out to detect corrosion and bolt-loosening in lab-scale carbon steel elbow pipes under varying temperatures. It has been demonstrated that the proposed technique has a potential to be used for structural health monitoring (SHM) of pipe structures.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 2005년도 춘계학술발표회
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• pp.673-674
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• 2005

• Smart Structures and Systems
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• 제21권3호
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• pp.287-303
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• 2018

Applications of energy harvesting from mechanical vibrations is becoming popular but the full potential of such applications is yet to be explored. This paper addresses this issue by considering an application of energy harvesting for the dual objective of serving as an indicator of structural health monitoring (SHM) and extent of control. Variation of harvested energy from an undamaged baseline is employed for this purpose and the concept is illustrated by implementing it for active vibrations of a pipe structure. Theoretical and experimental analyses are carried out to determine the energy harvesting potential from undamaged and damaged conditions. The use of energy harvesting as indicator for control is subsequently investigated, considering the effect of the introduction of a tuned mass damper (TMD). It is found that energy harvesting can be used for the detection and monitoring of the location and magnitude of damage occurring within a pipe structure. Additionally, the harvested energy acts as an indicator of the extent of reduction of vibration of pipes when a TMD is attached. This paper extends the range of applications of energy harvesting devices for the monitoring of built infrastructure and illustrates the vast potential of energy harvesters as smart sensors.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2005년도 제24회 춘계학술대회논문집
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• pp.233-236
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• 2005

본 논문에서는 현재 개발 중인 스마트 무인기 연료 시스템의 기본설계 결과를 제시하고 이에 대한 신뢰도 분석을 수행하였다. 시스템 요구를 바탕으로 연료 시스템을 구성한 후, 이에 필요한 부스트 펌프, 제트펌프, 도관, 벤트 시스템 등 각 구성품에 대한 설계를 수행하였고 연료 시스템의 중량 예측을 수행하였다. 이를 바탕으로 연료 시스템의 신뢰도를 분석하였다.

• 한국추진공학회지
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• 제9권2호
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• pp.54-61
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• 2005

본 논문에서는 현재 개발 중인 스마트 무인기 연료 시스템의 기본설계 결과를 제시하고 이에 대한 신뢰도 분석을 수행하였다. 시스템 요구를 바탕으로 연료 시스템을 구성한 후, 이에 필요한 부스트펌프, 제트펌프, 도관, 벤트 시스템 등 각 구성품에 대한 설계를 수행하였고 참고 중량 데이터를 이용하여 연료 시스템의 중량예측을 수행하였다. 이를 바탕으로 연료 시스템의 신뢰도를 분석하여 신뢰도 목표를 만족함을 확인하였다.

• 한국압력기기공학회 논문집
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• 제16권1호
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• pp.30-36
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• 2020

In SMART, the flow mixing header assembly (FMHA) is used to mix the coolant flowing into the reactor core to maintain a uniform temperature. The FMHA is designed to have enough stiffness so the resonance with reactor internal structures does not occurs during the pipe break and the seismic accidents. Since the gap between the FMHA and the core support barrel assembly is very narrow compared with the diameter of FMHA, the hydrodynamic mass effect acting on the FMHA is not negligible. Therefore the hydrodynamic mass characteristics on the FMHA are investigated to consider the fluid and structure interaction effects. The result of modal analysis for the dry and underwater conditions, the natural frequency of primary vibration mode for the horizontal direction is reduced from 136.67 Hz to 43.76 Hz. Also the result of frequency response spectrum seismic analysis for the dry and underwater conditions, the maximum equivalent stress are increased from 13.89 MPa to 40.23 MPa. Therefore, reactor internal structures located in underwater condition shall consider carefully the hydrodynamic mass effects even though they have sufficient stiffness required for performing its functions under the dry condition.

• 상하수도학회지
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• 제37권6호
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• pp.347-361
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• 2023

Water utilities are making various efforts to reduce water losses from water networks, and an essential part of them is to recognize the moment when a pipe burst occurs during operation quickly. Several physics-based methods and data-driven analysis are applied using real-time flow and pressure data measured through a SCADA system or smart meters, and methodologies based on machining learning are currently widely studied. Water utilities should apply various approaches together to increase pipe burst detection. The most intuitive and explainable water balance method and its procedure were presented in this study, and the applicability and detection performance were evaluated by applying this approach to water supply pipelines. Based on these results, water utilities can establish a mass balance-based pipe burst detection system, give a guideline for installing new flow meters, and set the detection parameters with expected performance. The performance of the water balance analysis method is affected by the water network operation conditions, the characteristics of the installed flow meter, and event data, so there is a limit to the general use of the results in all sites. Therefore, water utilities should accumulate experience by applying the water balance method in more fields.