• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.206-207
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• 2019

리튬이온 배터리의 상태를 모니터링 하는 방법에 있어서, 대표적으로 배터리의 충전 상태(SOC)와 배터리의 건강 상태(SOH)를 추정하여 상태 지표로 사용된다. 본 연구에서는 리튬 이온 배터리의 상태 지표를 위한 용량 정보의 추정을 데이터 기반의 근사 모델을 이용하여 수행하였다. 다양한 근사 모델링 방법을 적용하여 추정되는 용량 정보를 비교하고, 모델링 방법에 따른 용량 추정 성능을 확인하였다. 또한, 이를 바탕으로 리튬이온 배터리의 용량을 예측하고 예측 성능을 분석하였다. 본 연구를 통하여 근사모델을 이용하는 경우, 리튬이온 배터리의 용량 추정은 물론 예측을 수행하는 방법으로서의 활용 가능성을 확인하였으며, 또한 제안하는 방법을 이용하여 보유하고 있는 모니터링 데이터를 활용하여 리튬이온 배터리의 성능을 평가하는데 있어 효과적으로 활용될 수 있을 것으로 판단된다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.6
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• pp.37-44
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• 2005

This paper presents fabrication techniques of the optical fiber position sensor (or spindle state monitoring. These include selection of components such as optical fibers, a laser-diode, a photo-diode, and op-amp IC of the signal process circuit. We also describe electric runout problem. The fabricated sensor has a linearity of $1.7\%$ FSO in the air gap range $0.1\~0.6mm$, a resolution of $0.37{\mu}m$ and a bandwidth of 6.3kHz. Finally, we have successfully operated a magnetic bearing spindle system using the sensors.

• Computational Structural Engineering
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• v.9 no.2
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• pp.163-171
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• 1996

A hybrid knowledge model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for structural health monitoring and diagnosis of instrumented structures. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.39-40
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• 2017

This study aims to evaluate the humidity control performance of low-priced generic ceramic panels that are used to control humidity. Temperature and humidity are monitored by using 'Living Lab' and the change of indoor relative humidity is measured and analyzed. According to the results of the study, the indoor relative humidity of rooms installed with ceramic panels was found to be low compared to that of living rooms by 2.2%RH (test period) and 3.2%RH (daily). In the case of maximum relative humidity, rooms installed with ceramic panels were found to be low by 6.9%RH. The results are attributable to the humidity absorption of ceramic panels. Accordingly, future ceramic panels need the improvement of performance and an appropriate construction area should be derived depending on indoor space.

• Proceedings of the KIPE Conference
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• 2012.07a
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• pp.576-577
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• 2012

본 연구에서는 자동차 납축전지를 위한 지능형 배터리 센서(Intelligent Battery Sensor; IBS) 모듈 기능검사장비를 개발한다. 이를 위해 IBS 모듈에 대한 기능 및 특성평가를 위한 기능 검사 시스템을 구축하고 LABVIEW를 이용한 기능검사 프로그램을 개발한다. IBS를 이용한 감시 제어 시스템은 배터리의 상태를 모니터링하여 최적의 조건을 유지하고 문제 발생 시에 미리 조치할 수 있다. 배터리의 상태 파라미터로는 전압, 전류, 온도를 사용한다. 감시 제어 시스템은 PC를 이용하여 환경을 구축하였으며 LabView를 이용한 GUI(Graphic User Interface)를 구축하여 배터리 데이터를 모니터링하고 저장, 관리가 편리한 장점을 가진다.

• Land and Housing Review
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• v.11 no.1
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• pp.103-108
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• 2020

Autonomous things system is a technology that judges and acts based on using surrounding information by itself, and it is evaluated as a future technology that can replace the current IoT technology. The current IoT technology is widely used from facility monitoring to machine control but it is shown weakness as a evaluation and prediction technique despite of smart city important technology. In this study, in order to confirm the application of the autonomous things technology, a monitoring system was installed on a real reservoir dam facility and long-term monitoring was performed that the measuring device itself judges and control as a facility monitoring technology. The autonomous things technology was confirmed during 19 months and it is possible to continuous measurement in the same way as current automated instrumentation. In addition, it was confirmed that the ICT device itself could to control autonomously measurement cycle according to the rainfall by itself.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.721-723
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• 2014

본 논문은 선박내부의 센서데이터 이상감지를 위해 실시간 신뢰구간을 설정하고 신뢰구간을 초과하거나 미만이 되면 경보를 통해 관리자에게 알려주는 모니터링을 위한 신뢰구간 추정이다. 여기서, 이상 감지 예측의 정확도 향상을 위해 단순지수평활법과 이동평균법의 평균제곱오차를 비교 평가 하였다. 실험결과, 이동평균법의 평균제곱오차가 단순지수평활법 보다 적게 나와 선박 내부 모니터링을 위한 신뢰구간은 이동평균법을 적용하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.827-829
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• 2016

장시간 컴퓨터나 스마트폰을 사용하는 사람들에게서 손목터널증후군(Carpal Tunnel Syndrome)의 발생 가능성이 높아지며, 이를 방지하기 위해서는 꾸준한 손목 스트레칭과 위험성의 모니터링을 통한 사용자 피드백이 중요하다. 본 연구에서는 사용자 스스로가 손목 터널 증후군의 위험성을 인지하고, 손목 스트레칭 할 수 있도록 손목 터널 증후군 예방 시스템(Carpal Tunnel Syndrome Prevention System, CTSPS)을 구현하였다. 전체 시스템은 하드웨어와 소프트웨어로 구성되며, 소프트웨어는 사용자가 설정한 사용 시간과 잠금 시간을 바탕으로 알림 및 잠금을 수행한다. 이때 사용자는 아두이노와 가속도 센서를 이용하여 손목 스트레칭 할 수 있으며, 사용 패턴을 분석하여 사용자에게 맞는 생활 가이드를 제공할 수 있다. 구현된 시스템을 평가하기 위해 피실험자 5명을 대상으로 3일간 스마트폰 사용 시간 및 터치 횟수를 측정하였고, 설문조사를 수행한 결과 스마트폰의 사용 빈도가 줄었으며, 통증 완화 등 긍정적인 효과를 확인할 수 있었다.

• Journal of Food Hygiene and Safety
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• v.24 no.3
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• pp.238-246
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• 2009

Acrylamide in various food samples in Korea were monitored during the period beginning August 2006 through May 2007. A total of 471 food products that were purchased at local markets were categorized into 17 groups and analyzed for the acrylamide content by using an LC-MS/MS method. Food samples that were selected based on special consideration such as expert consultation, Korean food consumption data and food market shares were considered to be representative. There are very large variations in acrylamide levels within tested foods. Acrylamide content ranged from ND(not detected) to $4,002{\mu}g$/kg with all tested samples. Acrylamide levels are relatively high in 'cereal', 'coffee', 'potato snacks', 'biscuit', 'chocolate', and 'prune juice'. Acrylamide was also detected in fruits, vegetables, Korean traditional cookies which are considered as safe for acrylamide.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.747-754
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• 2014

In spite of its usefulness for health monitoring of structures on steady external load, the statistical pattern recognition technology (SPRT), based on Mahalanobis distance theory (MDT), is not good enough for the health monitoring of structures on large variability external load like earthquake. Damage is usually determined by the difference between the average measured value of undamaged structure and the measure value of damaged one. So when external variability gets larger, the difference gets bigger along, which is thus easily mistaken for a damage. This paper aims to overcome the problem and develop an improved Mahalanobis distance theory (IMDT), that is, a SPRT with revised MDT in order to decrease external variability so that we will be able to continue to monitor the structure on uncertain external variability. This method is experimentally tested to see if it precisely evaluates the health of a cable-stayed bridge on each general random load and earthquake load. As a result, the IMDT is found to be valid in locating structural damage made by damaged cables by means of data from undamaged cables. So it is proved to be effectively applicable to the health monitoring of bridges on external load of variability.