• 제목/요약/키워드: Depth

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OBSERVABILITY-IN-DEPTH: AN ESSENTIAL COMPLEMENT TO THE DEFENSE-IN-DEPTH SAFETY STRATEGY IN THE NUCLEAR INDUSTRY

  • Favaro, Francesca M.;Saleh, Joseph H.
    • Nuclear Engineering and Technology
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    • 제46권6호
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    • pp.803-816
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    • 2014
  • Defense-in-depth is a fundamental safety principle for the design and operation of nuclear power plants. Despite its general appeal, defense-in-depth is not without its drawbacks, which include its potential for concealing the occurrence of hazardous states in a system, and more generally rendering the latter more opaque for its operators and managers, thus resulting in safety blind spots. This in turn translates into a shrinking of the time window available for operators to identify an unfolding hazardous condition or situation and intervene to abate it. To prevent this drawback from materializing, we propose in this work a novel safety principle termed "observability-in-depth". We characterize it as the set of provisions technical, operational, and organizational designed to enable the monitoring and identification of emerging hazardous conditions and accident pathogens in real-time and over different time-scales. Observability-in-depth also requires the monitoring of conditions of all safety barriers that implement defense-in-depth; and in so doing it supports sensemaking of identified hazardous conditions, and the understanding of potential accident sequences that might follow (how they can propagate). Observability-in-depth is thus an information-centric principle, and its importance in accident prevention is in the value of the information it provides and actions or safety interventions it spurs. We examine several "event reports" from the U.S. Nuclear Regulatory Commission database, which illustrate specific instances of violation of the observability-in-depth safety principle and the consequences that followed (e.g., unmonitored releases and loss of containments). We also revisit the Three Mile Island accident in light of the proposed principle, and identify causes and consequences of the lack of observability-in-depth related to this accident sequence. We illustrate both the benefits of adopting the observability-in-depth safety principle and the adverse consequences when this principle is violated or not implemented. This work constitutes a first step in the development of the observability-in-depth safety principle, and we hope this effort invites other researchers and safety professionals to further explore and develop this principle and its implementation.

라이다 깊이 맵과 이미지를 사용한 자기 조직화 지도 기반의 고밀도 깊이 맵 생성 방법 (Dense-Depth Map Estimation with LiDAR Depth Map and Optical Images based on Self-Organizing Map)

  • 최한솔;이종석;심동규
    • 방송공학회논문지
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    • 제26권3호
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    • pp.283-295
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    • 2021
  • 본 논문은 자기 조직화 지도 기법을 기반으로 라이다 기반으로 생성된 깊이 맵과 컬러 이미지의 정보를 기반으로 고밀도 깊이 맵을 생성하는 방법을 제안한다. 제안하는 깊이 맵 업샘플링 방법은 라이다에서 취득되지 않은 공간에 대한 초기 깊이 예측 단계와 초기 깊이 필터링 단계로 구성된다. 초기 깊이 예측 단계에서는 두 장의 컬러 이미지에 대해 스테레오 매칭을 수행하여 초기 깊이 값을 예측한다. 깊이 맵 필터링 단계에서는 예측된 초기 깊이 값의 오차를 감소시키고자 예측 깊이 픽셀에 대하여 주변의 실측 깊이 값을 이용하여 자기 조직화 지도 기법을 수행한다. 자기 조직화 기법 수행 시 예측 깊이 픽셀과 실측 깊이 픽셀의 거리와, 각 픽셀에 대응되는 컬러 값의 차이에 따라 가중치를 결정한다. 본 논문에서는 성능 비교를 위하여 깊이 맵 업샘플링 방법으로 널리 사용되고 있는 양방향 필터 및 k-최근접 이웃 알고리즘과 비교를 진행하였다. 제안하는 방법은 양방향 필터 방법 및 k-최근접 이웃 알고리즘 대비 MAE 관점에서 각각 약 6.4%, 8.6%이 감소하였고 RMSE 관점에서 각각 약 10.8%, 14.3%이 감소하였다.

Temporal Factors of Human Depth Perception

  • Shioiri, Satoshi
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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    • pp.1029-1030
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    • 2007
  • I introduce two experiments that investigate temporal factors of stereopsis: one is for depth perception and the other is for perception of motion in depth. Both studies show that there are multiple mechanisms to process depth information with different temporal characteristics.

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겨울철 동아시아 지역 기온의 계절 예측에 눈깊이 초기화가 미치는 영향 (Impact of Snow Depth Initialization on Seasonal Prediction of Surface Air Temperature over East Asia for Winter Season)

  • 우성호;정지훈;김백민;김성중
    • 대기
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    • 제22권1호
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    • pp.117-128
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    • 2012
  • Does snow depth initialization have a quantitative impact on sub-seasonal to seasonal prediction skill? To answer this question, a snow depth initialization technique for seasonal forecast system has been implemented and the impact of the initialization on the seasonal forecast of surface air temperature during the wintertime is examined. Since the snow depth observation can not be directly used in the model simulation due to the large systematic bias and much smaller model variability, an anomaly rescaling method to the snow depth initialization is applied. Snow depth in the model is initialized by adding a rescaled snow depth observation anomaly to the model snow depth climatology. A suite of seasonal forecast is performed for each year in recent 12 years (1999-2010) with and without the snow depth initialization to evaluate the performance of the developed technique. The results show that the seasonal forecast of surface air temperature over East Asian region sensitively depends on the initial snow depth anomaly over the region. However, the sensitivity shows large differences for different timing of the initialization and forecast lead time. Especially, the snow depth anomaly initialized in the late winter (Mar. 1) is the most effective in modulating the surface air temperature anomaly after one month. The real predictability gained by the snow depth initialization is also examined from the comparison with observation. The gain of the real predictability is generally small except for the forecasting experiment in the early winter (Nov. 1), which shows some skillful forecasts. Implications of these results and future directions for further development are discussed.

140 keV 감마선 차폐 시 납 차폐체 두께에 따른 깊이별 선량 평가 (Shielding 140 keV Gamma Ray Evaluation of Dose by Depth According to Thickness of Lead Shield)

  • 김지영;이왕희;안성민
    • 대한방사선기술학회지:방사선기술과학
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    • 제41권2호
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    • pp.129-134
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    • 2018
  • The present study made a phantom for gamma ray of 140 keV radiated from $^{99m}Tc$, examined shielding effect of lead by thickness of the shielding material, and measured surface dose and depth dose by body depth. The OSL Nano Dot dosimeter was inserted at 0, 3, 15, 40, 90, and 180 mm depths of the phantom, and when there was no shield, 0.2 mm lead shield, 0.5 mm lead shield, The depth dose was measured. Experimental results show that the total cumulative dose of dosimeters with depth is highest at 366.24 uSv without shield and lowest at 94.12 uSv with 0.5 mm lead shield. The shielding effect of 0.2 mm lead shielding was about 30.18% and the shielding effect of 0.5 mm lead shielding was 74.30%, when the total sum of the accumulated doses of radiation dosimeter was 100%. The phantom depth and depth dose measurements showed the highest values at 0 mm depth for all three experiments and the dose decreases as the depth increases. This study proved that the thicker a shielding material, the highest its shielding effect is against gamma ray of 140 keV. However, it was known that shielding material can't completely shield a body from gamma ray; it reached deep part of a human body. Aside from the International Commission on Radiation Units and Measurements (ICRU) recommending depth dose by 10 mm in thickness, a plan is necessary for employees working in department of nuclear medicine where they deal with gamma ray, which is highly penetrable, to measure depth dose by body depth, which can help them manage exposed dose properly.

A Defocus Technique based Depth from Lens Translation using Sequential SVD Factorization

  • Kim, Jong-Il;Ahn, Hyun-Sik;Jeong, Gu-Min;Kim, Do-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.383-388
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    • 2005
  • Depth recovery in robot vision is an essential problem to infer the three dimensional geometry of scenes from a sequence of the two dimensional images. In the past, many studies have been proposed for the depth estimation such as stereopsis, motion parallax and blurring phenomena. Among cues for depth estimation, depth from lens translation is based on shape from motion by using feature points. This approach is derived from the correspondence of feature points detected in images and performs the depth estimation that uses information on the motion of feature points. The approaches using motion vectors suffer from the occlusion or missing part problem, and the image blur is ignored in the feature point detection. This paper presents a novel approach to the defocus technique based depth from lens translation using sequential SVD factorization. Solving such the problems requires modeling of mutual relationship between the light and optics until reaching the image plane. For this mutuality, we first discuss the optical properties of a camera system, because the image blur varies according to camera parameter settings. The camera system accounts for the camera model integrating a thin lens based camera model to explain the light and optical properties and a perspective projection camera model to explain the depth from lens translation. Then, depth from lens translation is proposed to use the feature points detected in edges of the image blur. The feature points contain the depth information derived from an amount of blur of width. The shape and motion can be estimated from the motion of feature points. This method uses the sequential SVD factorization to represent the orthogonal matrices that are singular value decomposition. Some experiments have been performed with a sequence of real and synthetic images comparing the presented method with the depth from lens translation. Experimental results have demonstrated the validity and shown the applicability of the proposed method to the depth estimation.

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Depth layer partition을 이용한 2D 동영상의 3D 변환 기법 (3D conversion of 2D video using depth layer partition)

  • 김수동;유지상
    • 방송공학회논문지
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    • 제16권1호
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    • pp.44-53
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    • 2011
  • 본 논문에서는 depth layer partition을 이용한 2D 동영상의 자동 3D 변환 기법을 제안한다. 제안하는 기법에서는 먼저 2D 동영상의 장면 전환점을 검출하여 각각의 프레임 그룹을 설정하여 움직임 연산 과정에서의 오류 확산을 방지하여 깊이맵(depth map) 생성과 정에서 오차를 줄여준다. 깊이정보는 두 가지 방법으로 생성되는데 하나는 영역 분할과 움직임 정보를 이용하여 깊이맵을 추출하는 것이고 다른 하나는 에지 방향성 히스토그램(edge directional histogram)을 이용하는 방법이다. 제안하는 기법에서는 객체와 배경을 분리하는 depth layer partition 과정을 수행한 후 생성된 두 개의 깊이맵을 원 영상에 최적이 되도록 병합하게 된다. 제안된 기법으로 신뢰도 높은 깊이맵과 결과 영상을 생성할 수 있다는 것을 다양한 실험 결과를 통해 알 수 있다.

한국형 교통사고 심층조사 DB 체계 구축에 대한 연구 (A Study on the Construction of the Database Structure for the Korea In-depth Accident Study)

  • 김시우;이재완;윤영한
    • 한국자동차공학회논문집
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    • 제22권2호
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    • pp.29-36
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    • 2014
  • The accident statistics use the data from police accident reports and statistics. Although the official accident statistics are useful, they provide very limited information about how accidents occur, the cause of the accident and the injury mechanisms. This limitations could be overcome by carrying out the in-depth accident study and analysing investigations, collecting more detailed information. Meanwhile a net of in-depth investigation teams are operating worldwide, such as NASS (National Accident Sampling System) and CIREN (Crash Injury Research and Engineering Network) in US, OTS (On the spot investigation) in UK. In this study, the database structure and variables of Korea in-depth accidents investigation system would be proposed through considering the database structure of GIDAS (Germany In-Depth Accidents Study). GIDAS is one of the best system on the in-depth accident study system in the world. GIDAS was established in 1999 as a cooperation project between Federal Highway Research Institute of Germany (BASt) and research association on automotive engineering of German Car Industry(FAT). The iGLAD (Initiative for the Global Harmonization of Accident Data) was also considered to introduce into the database variables of Korea in-depth accident study. Current police reports were compared with GIDAS and iGLAD. To collaborate of the Worldwide in-depth accident data, this paper proposed that the database of Korea in-depth accident study would be introduced the structure of GIDAS and the core variables of iGLAD. Harmonization of the structures and core variables of Korea in-depth accident study will be better than the making unique ones. The database structure and core variables of KIDAS(Korea In-Depth Accident Study) introduced of GIDAS and iGLAD.

다시점 카메라 및 depth 카메라를 이용한 3 차원 비디오 생성 기술 연구 (A Study on the 3D Video Generation Technique using Multi-view and Depth Camera)

  • 엄기문;장은영;허남호;이수인
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.549-552
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    • 2005
  • This paper presents a 3D video content generation technique and system that uses the multi-view images and the depth map. The proposed uses 3-view video and depth inputs from the 3-view video camera and depth camera for the 3D video content production. Each camera is calibrated using Tsai's calibration method, and its parameters are used to rectify multi-view images for the multi-view stereo matching. The depth and disparity maps for the center-view are obtained from both the depth camera and the multi-view stereo matching technique. These two maps are fused to obtain more reliable depth map. Obtained depth map is not only used to insert a virtual object to the scene based on the depth key, but is also used to synthesize virtual viewpoint images. Some preliminary test results are given to show the functionality of the proposed technique.

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Visual Fatigue Reduction Based on Depth Adjustment for DIBR System

  • Liu, Ran;Tan, Yingchun;Tian, Fengchun;Xie, Hui;Tai, Guoqin;Tan, Weimin;Liu, Junling;Xu, Xiaoyan;Kadri, Chaibou;Abakah, Naana
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권4호
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    • pp.1171-1187
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    • 2012
  • A depth adjustment method for visual fatigue reduction for depth-image-based rendering (DIBR) system is proposed. One important aspect of the method is that no calibration parameters are needed for adjustment. By analyzing 3D image warping, the perceived depth is expressed as a function of three adjustable parameters: virtual view number, scale factor and depth value of zero parallax setting (ZPS) plane. Adjusting these three parameters according to the proposed parameter modification algorithm when performing 3D image warping can effectively change the perceived depth of stereo pairs generated in DIBR system. As the depth adjustment is performed in simple 3D image warping equations, the proposed method is facilitative for hardware implementation. Experimental results show that the proposed depth adjustment method provides an improvement in visual comfort of stereo pairs as well as generating comfortable stereoscopic images with different perceived depths that people desire.