• Smart Media Journal
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• v.1 no.2
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• pp.12-22
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• 2012

Today we are witnessing an increasingly widespread use of cameras in our lives for video surveillance, robot vision, and mobile phones. This has led to a renewed interest in computer vision in general and an on-going boom in human activity recognition in particular. Although not particularly fancy per se, human gait is inarguably the most common and frequent action. Early on this decade there has been a passing interest in human gait recognition, but it soon declined before we came up with a systematic analysis and understanding of walking motion. This paper presents a set of DBN-based models for the analysis of human gait in sequence of increasing complexity and modeling power. The discussion centers around HMM-based statistical methods capable of modeling the variability and incompleteness of input video signals. Finally a novel idea of extending the discrete state Markov chain with a continuous density function is proposed in order to better characterize the gait direction. The proposed modeling framework allows us to recognize pedestrian up to 91.67% and to elegantly decode out two independent gait components of direction and posture through a sequence of experiments.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.1-8
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• 2016

In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.

• Journal of the Korean Geotechnical Society
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• v.27 no.7
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• pp.5-16
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• 2011

Digital image analysis techniques have been developed and utilized in the field of solid mechanics and fluid mechanics to measure the deformation and velocity of a target object. The deformation measurement systems based on Particle Image Velocimetry (PIV) and Digital Image Correlation (DIC) have been attempted in geotechnical testings (e.g., physical model tests) for observing the deformation of soils. The digital image analysis is influenced by image pattern of test materials, resolution of the used digital camera, target area, image analysis techniques, and analysis conditions. Therefore, optimal analysis conditions should be determined to obtain high quality results on soil deformations. In the present study, various influence factors on the digital image analysis were described and summarized. The optimizing procedure for high accurate results was then proposed. Finally, the applicability of the developed procedure was examined.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.4
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• pp.301-308
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• 2016

In this study, a novel method referred as non-marker vision-based displacement measuring system(NVDMS) was introduced in order to measure the displacement of structure. There are two distinct differences between proposed NVDMS and existing vision-based displacement measuring system(VDMS). First, the NVDMS extracts the pixel coordinates of the structure using a feature point not a marker. Second, in the NVDMS, the scaling factor in order to convert the coordinates of a feature points from pixel value to physical value can be calculated by using the external conditions between the camera and the structure, which are distance, angle, and focal length, while the scaling factor for VDMS can be calculated by using the geometry of marker. The free vibration test using the three-stories scale model was conducted in order to analyze the reliability of the displacement data obtained from the NVDMS by comparing the reference data obtained from laser displacement sensor(LDS), and the measurement of dynamic characteristics was proceed using the displacement data. The NVDMS can accurately measure the dynamic displacement of the structure without the marker, and the high reliability of the dynamic characteristics obtained from the NVDMS are secured.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.30.1-30.1
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• 2011

2010년 11월 05일부터 11월 29일 중 총 12일간 진천 소재 충북대학교 천문대의 60cm 반사망원경과 ST-8 CCD 카메라를 이용하여 BD And의 BVR CCD 측광 관측을 수행하여 처음으로 BVR 광도 곡선을 완성하였다. 또한, 극심시각 결정을 위한 측광관측이 레몬산 천문대 1m 반사 망원경과 충북대학교 천문대의 35cm 망원경으로 수행되었다. 우리의 관측을 통하여 모두 19개의 극심시각을 새로이 결정하였다. 새로운 관측은 이 별의 공전주기가 이전까지 알려진 0.4629일이 아니라 그 두 배인 0.9258일이며, 기산점도 반주기 바뀌어야 함을 보여준다. BD And의 광도요소를 $MinI=HJD2434962.8602+0.^d9258054E$으로 새롭게 개정하였다. 이 광도요소로 작성한 우리의 BVR 광도곡선은 제1식과 제2식의 깊이가 거의 비슷하며, 식바깥 부분에 잘 발달된 파형 모양을 보인다. 이는 BD And가 짧은 주기의 RS CVn형 식쌍성임을 나타내는 것이다. 우리의 극심시각을 포함한 총 130개의 극심시각에 대한 (O-C)도를 작성한 결과, BD And의 공전주기가 규칙적으로 변화하는 것을 발견하였다. 이 변화를 보이지 않는 제3천체에 의한 광시간 효과로 가정하여, 궤도이심율이 0.78이며, 9.19년의 주기를 가진 광시간 궤도를 결정하였다. 우리의 광도곡선을 2003년 Wilson-Devinney 쌍성 모형으로 분석하여 광도곡선 해를 질량비 q=0.094, 궤도경사각 $i=85.^{\circ}4$, $T_1=6365(K)$, $T_2=6250(K)$, $R_1=1.132(Rsun)$, $R_2=1.304(Rsun)$와 같이 산출하였다. 식바깥에서 나타나는 파형 모양의 변화는 주성의 표면에 매우 큰 흑점으로 잘 설명되며, BVR 광도곡선에서 각전체 광도의 각 8.3%, 10.0%, 11.7%에 해당되는 제3 광도가 검출되었다. 이는 주기연구에서 제안된 제3천체의 존재 가능성을 더 공고히 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.143-143
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• 2012

최근 우리나라 주요하천에 걸쳐 수행된 '4대강 살리기 사업'에서는 하천에서 발생하는 홍수 및 가뭄재해의 방지를 위한 다양한 사업이 추진되었다. 특히 안정적인 용수공급과 재해방지를 위한 수위확보를 목적으로 4대강 16 개 구간에 걸쳐서 일반적 형태의 고정보와 함께 다양한 형상과 운영방식이 적용된 가동보로 이루어진 다목적보가 설치되었다. 본 연구에서는 4대강 유역(한강, 낙동강, 영산강, 금강)에 설치된 16 개 가동보의 형식 중 4곳(강정고령보, 강천보, 합천창녕보, 창녕함안보)에 적용된 라이징 섹터 게이트(rising sector gate)의 수리학적 특성을 분석하고자 가동보의 수리실험 모형을 개수로에 설치하여 보 주변에서의 흐름 및 난류 특성을 분석하고자 하였다. 4대강 유역에 설치된 라이징 섹터 게이트의 설치목적은 일반적인 고정보의 문제점으로 대두되고 있는 보 상류부의 퇴적토를 신속하게 배사(sediment flushing)하는 데 있다. 이를 위해서는 우선 배사 시에 보 하단부에서 최대유속을 발생시키면서 동시에 최적의 상하류 수위조건을 만족시키는 것이 매우 중요하다. 본 연구에서는 개수로에 설치된 가동보의 수문개방도에 따른 유속분포를 측정하였다. 보 주변에서의 보다 정밀한 유속장의 측정을 위해서 비접촉식 유속측정 방법인 PIV 측정방법을 이용하였다. PIV 측정방법은 일정한 입경과 밀도를 가지며 레이저 반사율이 높은 입자를 흐름에 투입하고 laser 발생장치로 laser sheet를 생성하여 레이저가 반사되어 나타나는 입자 각각의 시간변화에 따른 변위를 CCD 카메라로 가시화한 뒤 유속벡터값을 추출할 수 있게 한다. PIV 측정방법으로 유체의 흐름을 파악하고 시간평균된 유속결과를 바탕으로 난류 특성을 분석하였다. 수로전체 구간에 대하여 3차원 수치해석 프로그램인 FLOW-3D 모의결과와 비교하여 분석하였다. 실험을 통한 유속결과와 수치해석결과는 실험을 통한 유속결과와 비교 분석하였으며, 적용성을 검증한 후 다양한 조건에 대한 설계방안 및 유지관리에 활용하고자 한다.

• Journal of the Korean GEO-environmental Society
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• v.20 no.1
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• pp.57-65
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• 2019

In this study, to investigate the effect of cylindrical countermeasure on the flow characteristics of debris flow, a series of small-scale tests were conducted using a flume with cylindrical baffles. Various heights and row numbers of installed baffles were considered as a test condition. High speed cameras and laser level sensors were also installed at the top and side of the channel, respectively, to capture the debris flow dynamics before and after baffles. Based on test results, the energy dissipation of debris flow due to baffles was analyzed. Test results showed that baffles can significantly reduce the velocity and flow depth of debris flows. The energy dissipation effect of baffles also increase as the increase of height and row number of baffles.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1280-1287
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• 2020

This paper proposes a vision-based food recognition method for automated production of custom cakes. A small camera module mounted on a food art printer recognizes objects' shape and estimates their center points through image processing. Through the perspective transformation, the top-view image is obtained from the original image taken at an oblique position. The line and circular hough transformations are applied to recognize square and circular shapes respectively. In addition, the center of gravity of each figure are accurately detected in units of pixels. The test results show that the shape recognition rate is more than 98.75% under 180 ~ 250 lux of light and the positioning error rate is less than 0.87% under 50 ~ 120 lux. These values sufficiently meet the needs of the corresponding market. In addition, the processing delay is also less than 0.5 seconds per frame, so the proposed algorithm is suitable for commercial purpose.

• Journal of the Korean Geotechnical Society
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• v.38 no.11
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• pp.7-17
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• 2022

This study investigates the effect of cylindrical baffle arrays behind a rigid barrier on debris flow behavior and dynamic impact load. Small-scale tests were performed with various transverse blockage ratios and row numbers of baffles. High-speed cameras were installed at the flume's top and side, and load cells were installed in front of the rigid barrier. Moreover, glass beads simulated large boulders with debris flow in the flume. Test results revealed that the impact load of debris flow on the rigid barrier was significantly reduced using the cylindrical baffles behind the rigid barrier. In addition, the increased transverse blockage ratio of baffle arrays led to a greater impact load of debris flow because of flow suppression due to the baffle arrays.

• The Journal of the Acoustical Society of Korea
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• v.42 no.3
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• pp.233-242
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• 2023

In this paper, the effect of mass injection on the control of tip vortex cavitation was studied experimentally. A mass injection system for a 3D hydrofoil was designed to control the location of injection as well as the injection rate. A series of cavitation tests were carried out in a cavitation tunnel for different injection locations and rates. The cavitation behaviour was observed using a high-speed camera and the corresponding noise was measured using a hydrophone installed in the observation window. The results showed that the tip vortex cavitation was suppressed under certain conditions and the noise was reduced in some frequency bands. It was also found that there is a location where the effect of mass injection could be maximized and hence the noise reduction.