• 한국항공운항학회:학술대회논문집
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• 한국항공운항학회 2015년도 추계학술대회
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• pp.175-178
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• 2015

A-SMGCS(Advanced Surface Movement Guidance and Control system)의 ILCMS(Individual Light Control&Monitoring System) 고도화의 목표를 달성하기 위한 일체형 CCR(CONSTANT CURRENT REGULATOR)을 제작하고, 개발되어진 LCU(LOCAL CONTROL UNIT)모듈 및 LK CCR FILTER가 일체형 CCR의 실제 동작에 끼치는 영향과 일체형 CCR의 동작 상태를 실험을 통해 결과를 표현 하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.678-682
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• 2006

In order to analyze movement of soil moisture, Time Domain Reflectometry(TDR) with multiplex system has been installed at the Bumreunsa hillslope of Sulmachun Watershed to configure spatial-temporal variation pattern considering seasonal characteristic. An intensive surveying was performed to build a refined digital elevation model(DEM) and flow determination algorithms with inverse surveying have been applied to establish an efficient soil moisture monitoring system. Soil moisture data were collected through an intensive and long term monitoring 380 hrs in November of 2003 and 1037 hrs in May and June of 2004. Soil moisture data shows corresponding variation characteristics of soil moisture on the up slope, buffer, main channel zones of the hillslope which were classified from terrain analysis. Inferences and limitations of measured soil moisture data were discussed in conjunction with flow characteristic through terrain analysis.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2014년도 춘계학술대회
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• pp.241-243
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• 2014

최근, 해안 침식 현상은 사회적, 경제적 측면에서 큰 영향을 미칠 수 있기 때문에, 각 지자체마다 각종 방지대책이 실시되고 있다. 그러나, 방지시설을 설치하기 전에 표사이동특성 등의 변화를 면밀히 검토하고, 이를 토대로 장기모니터링을 통한 지속적인 변화검토가 필수적이다. 본 연구에서는 현재 백사장 침식이 문제가 되고 있는 서해 중부 연안의 임의의 해빈(사빈)을 대상으로 장기 파랑특성분석을 통한 이상파랑, 계절별 탁월 파향, 파고, 주기 등을 고려한 평상파랑을 산정하고 이를 근거하여 수치모형실험을 통하여 파랑변형 및 표사이동에 대한 경향을 파악하였다.

• 한국정밀공학회지
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• 제4권2호
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• pp.36-46
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• 1987

An optical technique using laser for non-contact measurement of surface roughness and form accuracy of ground surfaces is presented. It is found that, when a ground surface is illuminated by a beam of laser light, the roughness height and slope distribution has significant influence on the pattern of reflection and it maintains an unique Gaussian distribution relationship with the surface roughness. The principle idea of the optical measurement system is therefore monitor the radiation, and then calibrate it in process against surface roughness by means of necessary digital data processing. On the other hand, measuring the form accuracy of a ground surface is accomplished by using a triangular method, which is based on observing the movement of an image of a spot of light projected onto the surface. The image is focused, through a series of lenses for magnification, on a photodetector array lf line configur- ation. Then the relative movement of image and consequently the form accuracy of the surface can be obtained through appropriate calibration procedures. Experimental test showed that the optical roughness measurement technique suggested in this work is very efficient for most industrial applications being capable of monitoring the roughness heights ranging 0.1 to 0.6 .$\mu$m CLA values. And form accuracy can be measured in process with a resolution of 10 .$\mu$m.

• Steel and Composite Structures
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• 제35권6호
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• pp.779-788
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• 2020

Multi-Walled Carbon nanotubes (MWCNT) coupled with Silicone Rubber (SR) can represent applicable strain sensors with accessible materials, which result in good stretchability and great sensitivity. Employing these materials and given the fact that the combination of these two has been addressed in few studies, this study is trying to represent a low-cost, durable and stretchable strain sensor that can perform excellently in a high number of repeated cycles. Great stability was observed during the cyclic test after 2000 cycles. Ultrahigh sensitivity (GF>1227) along with good extensibility (ε>120%) was observed while testing the sensor at different strain rates and the various number of cycles. Further investigation is dedicated to sensor performance in the detection of human body movements. Not only the sensor performance in detecting the small strains like the vibrations on the throat was tested, but also the larger strains as observed in extension/bending of the muscle joints like knee were monitored and recorded. Bearing in mind the applicability and low-cost features, this sensor may become promising in skin-mountable devices to detect the human body motions.

• 한국멀티미디어학회논문지
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• 제6권6호
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• pp.1062-1070
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• 2003

본 논문에서는 자동 추적 시스템을 이용하여 반자연적인 조건에서 화학 약물의 아치사량 투석에 반응하는 수중 생물중 하나인 물고기(송사리)의 행동을 관찰하였다. 결과의 분석을 위하여, 약물 투여 전의 대표적인 행동을 패턴 A로 정의하였으며, 약물 투여 후의 대표적인 행동을 패턴 B로 정의하였다. 실험 결과, 패턴 B가 약물 투여 후에 빈번하게 관찰되는 반면, 패턴 A는 약물 투여 전에 많이 관찰되었다. 또한, 물고기의 움직임 패턴을 자동으로 탐지하기 위하여 대표 패턴들을 인공신경망의 학습을 위하여 추출하였다. 독성 물질(다이아지논) 투여 후 패턴 B에 대한 평균 탐지율은 크게 증가하였으나, 패턴 A에 대한 탐지율은 크게 감소함을 볼 수 있었다 본 논문에서는 지표종의 행동 모니터링을 통하여 환경에서 독성 물질의 존재를 탐지하는 방법으로 인공 신경망의 적용을 보여주고 있다.

• 지질공학
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• 제21권3호
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• pp.221-230
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• 2011

암반비탈면의 활동에 의해 전방 도로부에 융기현상이 발생되었다. 국내의 대다수 비탈면은 암반으로 구성되어 있으므로 연구지역과 같이 암반비탈면 활동에 의한 도로 융기현상을 관찰하기는 쉽지 않다. 본 연구를 통해 구성암 풍화와 지질학적 약대 형성이 진행된 암반비탈면은 불연속면을 따른 기하학적인 붕괴보다는 전체 구성암의 원호활동 지배를 더 크게 받을 수 있음을 파악하였다. 또한, 수치해석을 통해 편암 등 이방성이 강한 암석이나 특정 방향의 불연속면이 비탈면의 안정성에 영향을 미칠 경우에는 연속체 해석에 편재절리모델을 혼합하여 해석을 수행하는 것이 암반비탈면의 연속체 해석 수행에 매우 유용함을 확인하였다. 현장조사와 안정해석 결과를 근거로 본 비탈면의 안정화를 위해 계단식옹벽과 앵커공법을 제안하였으며, 보강 완료 후에는 계측기를 설치하여 실시간 모니터링을 통해 적용 대책공법의 효과를 검증하였다.

• 수산해양기술연구
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• 제46권3호
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• pp.232-238
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• 2010

The moving ranges and behavior of four wild abalones, Haliotis discus hannai, were measured by an acoustic telemetry technique. The shape of the sea bottom of the experimental area was surveyed by a bathymetry system and three self-recording type acoustic receivers were used for monitoring the behavior and measuring the movement range. The abalones (WA1-WA4) attached acoustic tags were released and measured the movement during ten months. Three abalones (WA1, WA3 and WA4) were successively detected around the released point during the experiment and were moved to the V2 area where water depth is deeper than the V1 area. The change of inhabitation depth was also detected from the depth sensor of WA4. As the result, abalones were moved to deeper water area accordance with the decrease of the water temperature. The moved ranges of abalones were approximately 200 - 400m from the release point.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.88-95
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• 2022

Detecting anomalies in human movement is an important task in industrial applications, such as monitoring industrial disasters or accidents and recognizing unauthorized factory intruders. In this paper, we propose an abnormal worker movement detection system based on data stream processing and hierarchical clustering. In the proposed system, Apache Spark is used for streaming the location data of people. A hierarchical clustering-based anomalous trajectory detection algorithm is designed for detecting anomalies in human movement. The algorithm is integrated into Apache Spark for detecting anomalies from location data. Specifically, the location information is streamed to Apache Spark using the message queuing telemetry transport protocol. Then, Apache Spark processes and stores location data in a data frame. When there is a request from a client, the processed data in the data frame is taken and put into the proposed algorithm for detecting anomalies. A real mobility trace of people is used to evaluate the proposed system. The obtained results show that the system has high performance and can be used for a wide range of industrial applications.

• 드라이브 ㆍ 컨트롤
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• 제19권3호
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• pp.23-31
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• 2022

Traffic safety issues have recently been seriously magnified, due to child deaths in apartment complexes and parking lots. Accordingly, traffic safety technologies are being developed to recognize dangerous situations on living roads and to provide warning services. In this study, a collision detection algorithm was developed to prevent collision accidents between moving objects, by using object type and location information provided from CCTV monitoring devices. To determine the exact collision between moving objects, an object movement model was developed to predict the range of movement by considering the moving characteristics of the object, and a collision detection algorithm was developed to efficiently analyze the presence and location of the collision. The developed object movement model as well as the collision detection algorithm were simulated, in a virtual space of an actual living road to verify performance and derive supplementary matters.