• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.505-509
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• 2020

포인트 클라우드 콘텐츠는 3 차원 공간에 수십만 개가 넘는 점들의 집합으로 이루어진 3D 데이터로 각 점들은 3 차원 공간의 좌표 데이터를 필요로 하고 추가적으로 색 (color), 반사율 (reflectance), 법선 벡터 (normal vector) 등과 같은 속성으로 구성되어 있다. 기존 2D 영상보다 한단계 높은 차원을 가진 3D 포인트 클라우드를 사용자에게 효율적으로 제공하기 위해서 고효율의 압축 기술 연구가 진행되고 있는데, 다양한 장치에서 발생하는 성능 차이에 구애 받지 않고 사용자에게 알맞은 서비스를 제공하기 위해서는 다양한 확장성에 대한 연구가 필요하다. 이에 본 논문에서는 포인트 클라우드 압축에 사용되는 Video-based Point Cloud Compression (V-PCC) 구조에 SHVC 코덱을 적용하여, 밀도 확장성을 갖는 포인트 클라우드 압축 비트스트림을 생성하는 방안을 제안하였다.

• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2004.05a
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• pp.91-91
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• 2004

• 베이커리
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• no.2 s.427
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• pp.88-89
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• 2004

어깨너머로 배운 쿠키 기술 하나 만으로 여성 가정의 자립을 돕는 일터를 일구어 낸 것은 그들이 어머니이기에 가능했다. 좁은 지하 공간에서 서로 몸을 부닥쳐 가며 일해야 하는 어려운 상황에서도 당장 눈앞의 이익보다 우리밀로 만든 안전한 먹거리를 지키기로 결정한 것 또한 어머니의 힘이었다.

• Journal of Astronomy and Space Sciences
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• v.10 no.2
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• pp.163-188
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• 1993

On the framework of Tolman spacetime model, the caustics around a local perturbed region in redshift is due to the local expansion rate induced by a local density inhomogeneity in real space. We have compared the caustics in redshift space, which are analytically obtained, with the observed redshift-distance patterns of galaxies which are belonging to Coma and Perseus clusters. For the Abell density distribution model and polytropic density profiles which are well-fitting the optical and X-ray observations, respectively, the size of caustics which is defined by "turnaround radius" of a local density perturbed region should give constraints on the sizes and masses of rich clusters and give also a clue to understand the state of hot X-ray emitting gas.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.55-62
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• 2017

In this study, motion simulation of Walk-through was evaluated with HMD(Head Mounted Display). More Specifically, we examined the changes of the degree of object density placed around virtual space on psychological moving distance, moving speed, and moving time. The results were as follows. First, the difference between the experimental conditions(low density, Medium density, High density) was significant. Second, as the density of the surrounding objects increased, the average point of moving time, moving speed, and moving distance rose compared to the basic conditions. Third, it was found that the surrounding objects improved the sense of time, speed and distance in motion simulation in virtual space.

• Spatial Information Research
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• v.22 no.6
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• pp.81-90
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• 2014

This study analyzed an impact relationship between the variable of street based on the walking enhancement factors and the street revitalization. In detail, walking enhancement factors include a physical environment, accessibility and a density which was derived from previous studies. In addition, This study also analyzed the diversity of the profession which was emphasized by Jacobs(1961) and the influence of the specific space on street revitalization that was emphasized by Ray Oldenburg (1989) and Richard MacCormac (1983). The anlaysis by types showed the walking enhancement factors, including street envirnoment, accessibility, density and diversity, which were emphasized by Jacobs(1961) possessed similararites between weekdays and weekends. On contrast, the spatial distribution of stores showed a major difference of influences on street revitalization between weekdays and weekends as Ray Oldenburg (1989) and Richard MacComac (1983) has insisted.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.29-43
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• 2023

It is necessary to grasp the characteristics of traffic flow passing through a specific road section and the topological structure of the road in advance in order to quickly prepare a movement management strategy in the event of a disaster or disaster. It is because it can be an essential basis for road managers to assess vulnerabilities by microscopic road units and then establish appropriate monitoring and management measures for disasters or disaster situations. Therefore, this study presented spatial density, time occupancy, and betweenness centrality index to evaluate vulnerabilities by road link in the city department and defined spatial-temporal and topological vulnerabilities by clustering analysis based on distance and density. From the results of this study, road administrators can manage vulnerabilities by characterizing each road link group. It is expected to be used as primary data for selecting priority control points and presenting optimal routes in the event of a disaster or disaster.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.208-221
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• 2020

The objective of this study is to estimate and analyze the traffic density of continuous flow using the trajectory of individual vehicles and the headway of sample probe vehicles-front vehicles obtained from ADAS (Advanced Driver Assitance System) installed in sample probe vehicles. In the past, traffic density of continuous traffic flow was mainly estimated by processing data such as traffic volume, speed, and share collected from Vehicle Detection System, or by counting the number of vehicles directly using video information such as CCTV. This method showed the limitation of spatial limitations in estimating traffic density, and low reliability of estimation in the event of traffic congestion. To overcome the limitations of prior research, In this study, individual vehicle trajectory data and vehicle headway information collected from ADAS are used to detect the space on the road and to estimate the spatiotemporal traffic density using the Generalized Density formula. As a result, an analysis of the accuracy of the traffic density estimates according to the sampling rate of ADAS vehicles showed that the expected sampling rate of 30% was approximately 90% consistent with the actual traffic density. This study contribute to efficient traffic operation management by estimating reliable traffic density in road situations where ADAS and autonomous vehicles are mixed.

• Korean Journal of Agricultural and Forest Meteorology
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• v.26 no.1
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• pp.75-88
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• 2024

It would be advantageous to predict acreage and yield of crops in major grain-exporting countries, which would improve decisions on policy making and grain trade in Korea. A climate suitability model can be used to assess crop acreage and yield in a region where the availability of observation data is limited for the use of process-based crop models. The objective of this study was to determine the climate suitability index of wheat by province in Ukraine, which would allow for the spatial assessment of acreage and yield for the given crop. In the present study, the official data of wheat acreage and yield were collected from the State Statistics Service of Ukraine. The EarthStat data, which is a data product derived from satellite data and official crop reports, were also gathered for the comparison with the map of climate suitability index. The Fuzzy Union model was used to create the climate suitability maps under the historical climate conditions for the period from 1970 to 2000. These maps were compared against actual acreage and yield by province. It was found that the EarthStat data for acreage and yield of wheat differed from the corresponding official data in several provinces. On the other hand, the climate suitability index obtained using the Fuzzy Union model explained the variation in acreage and yield at a reasonable degree. For example, the correlation coefficient between the climate suitability index and yield was 0.647. Our results suggested that the climate suitability index could be used to indicate the spatial distribution of acreage and yield within a region of interest.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.983-990
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• 2004

Multiple-count problem is occurred when rectangle objects span across several buckets. The CD histogram is a technique which selves this problem by keeping four sub-histograms corresponding to the four points of rectangle. Although It provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors nay be occurred when it is applied to real applications. In this paper, we propose selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models : \circled1 probabilistic model which considers the query window area ratio, \circled2 probabilistic model which considers intersection area between a given grid and objects. Our method has the capability of eliminating an impact of the restriction on query window which the existing cumulative density histogram has. We experimented with real datasets to evaluate the proposed methods. Experimental results show that the proposed technique is superior to the existing selectivity estimation techniques. Furthermore, selectivity estimation technique based on probabilistic model considering the intersection area is very accurate(less than 5% errors) at 20% query window. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.