• The KIPS Transactions:PartB
• /
• v.11B no.3
• /
• pp.247-256
• /
• 2004

In this paper, we propose the prediction search algorithm for block matching using the temporal/spatial correlation of the video sequence and the renter-biased property of motion vectors The proposed algorithm determines the location of a better starting point for the search of an exact motion vector using the point of the smallest SAD(Sum of Absolute Difference) value by the predicted motion vector from the same block of the previous frame and the predictor candidate pint in each search region and the predicted motion vector from the neighbour blocks of the current frame. And the searching process after moving the starting point is processed a adaptive search pattern according to the magnitude of motion vector Simulation results show that PSNR(Peak-to-Signal Noise Ratio) values are improved up to the 0.75dB as depend on the video sequences and improved about 0.05∼0.34dB on an average except the FS (Full Search) algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.8
• /
• pp.1527-1533
• /
• 2009

In this paper, we design directional search pattern using motion direction biased characteristics of MVP distribution, and proposes a direction applied cross diamond search method that adaptively change search pattern according to moving direction of search point. Proposed method predict motion vectors from neighbor macro blocks, and define initial motion direction by using predicted motion vectors. It improve search efficiency by using alternately proposed search pattern according to motion direction of BMP in search process. The simulation results show that proposed method is able to fast motion estimation compared with conventional cross diamond search, according as it reduce computational complexity that is required of motion estimation with $0.43%{\sim}1.76%$.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.16 no.5
• /
• pp.403-412
• /
• 1991

This paper proposes a type of self organizing neural network which recognizes arbitrary symbols as well as numerical or alphabetic characters. The proposed algorithm autonomically organizes and classifies similar patterns on the basis of the distribution types of characteristics in the input images. Thus it can be appliced for the recognition of arbitrary images when it is difficult to establish a learning rule. It performs a stale recognition process with in the limit of the memory capacity. The cheme was applied and tested to 50 different image patterns with increased noise level up to 44%(SNR 2dB). The implementation results demonstrate that the proposed algorithm successfully recognizes the image patterns changed due to the various noise levels and thus proves excellent antinoise characteristics.

• Journal of Korean Society of Transportation
• /
• v.19 no.5
• /
• pp.49-59
• /
• 2001

In the transportation planning process, origin and destination(O-D) trip matrix is one of the most important elements. There have been developments and applications of the methodology to adjust old matrices using link traffic counts. Commonly, the accuracy of an adjusted O-D matrix depends very much on the reliability of the input data such as the numbers and locations of traffic counting points in the road network. In the real application of the methodology, decisions on the numbers and locations of traffic counting points are one of the difficult problems, because usually as networks become bigger, the numbers of traffic counting points are required more. Therefore, this paper investigates these issues as an experiment using a nationwide network in Korea. We have compared and contrasted the set of link flows assigned by the old and the adjusted O-D matrices with the set of observed link flows. It has been analyzed by increasing the number of the traffic counting points on the experimental road network. As a result of these analyses, we can see an optimal set of the number of counting links through statistical analysis, which are approximately ten percentages of the total link numbers. In addition, the results show that the discrepancies between the old and the adjusted matrices in terms of the trip length frequency distributions and the assigned and the counted link flows are minimized using the optimal set of the counted links.

• Journal of Korea Port Economic Association
• /
• v.27 no.2
• /
• pp.59-84
• /
• 2011

The purpose of this study is to analyze the spatial distribution and the linkage characteristics of the warehousing industry in Busan and to provide the policy implications for the warehousing industry in Korean port hinterland. We surveyed the warehousing firms in Busan. Categorizing the warehousing industry into industry types, sizes, and organization types on the basis of the survey, we attempted the point pattern analysis and the proximity analysis using the GIS. The warehousing industry in Busan had changed from a small single-unit firm to a medium or a large firm with a head office or branches. These were distributed in hinterland of North Harbor, South Harbor & Gamcheon Harbor, and Sin-Pyoung & Jang-Rim industrial complex and Sasang Industrial Complex constituting the spatial agglomeration. The warehousing industry in Busan formed the linkages with other sectors of the same logistics to provide manufacturing industries with various other services as well as storage services. The linkages were largely formed in the local scope with spatial proximity, generating the economic gains of agglomeration, which were transformed into the efficiency of the warehousing industry in the local scope to gradually expand the spatial dimensions of the linkages.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.14 no.6
• /
• pp.1417-1425
• /
• 1990

In this paper, when the glass plate of fragile material is subjected to impact load, the fracture pattern and the generation phenomenon of cone crack were theoretically clarified by using the analysis method of impulsive stress in the first paper. The numerical analysis results of strain distribution at a distance of 0.1cm, from the impact loading point to 5cm, were compared with experimental results. The main conclusions obtained are as follows; (1) The generation phenomenon of cone crack at the impact fracture of the glass plate can be analytically confirmed by using the three dimensional dynamic theory of elasticity. And the numerical analysis results of strain distribution using this theory are relatively in close agreement with the crack size obtained from the impact fracture experiment. (2) After the stress wave generated at the impact point propagated to the spherical compressive wave, this stress wave reflected from the back surface and reached again at the surface of the plate to the spherical stress wave. Then the generation of cone crack can be confirmed along the stress wave surface. (3) The plate is the thicker, the more is the generation phenomenon of cone crack at the lower impact velocity range (20m/s-35m/s). Because the fracture generate before the maximum tensile stress acting to the glass plate, cone crack was rarely ever generated.

• Journal of the Korea Computer Industry Society
• /
• v.4 no.10
• /
• pp.731-740
• /
• 2003

Since motion estimation remove the redundant data to employ the temporal correlations between adjacent frames in a video sequence, it plays an important role in digital video coding. And in the block matching algorithm, search patterns of different shapes or sizes and the distribution of motion vectors have a large impact on both the searching speed and the image quality. In this paper, we propose a new fast block matching algorithm using the small-cross search pattern and the block-based gradient descent search pattern. Our algorithm first finds the motion vectors that are close to the center of search window using the small-cross search pattern, and then quickly finds the other motion vectors that are not close to the center of search window using the block-based gradient descent search pattern. Through experiments, compared with the block-based gradient descent search algorithm(BBGDS), the proposed search algorithm improves as high as 26-40% in terms of average number of search point per motion vector estimation.

• Journal of the Economic Geographical Society of Korea
• /
• v.25 no.1
• /
• pp.183-201
• /
• 2022

Estimating the implicit value of housing assets is a very important task for participants in the housing market. Until now, such estimations were usually carried out using multiple regression analysis based on the inherent characteristics of the estate. However, in this paper, we examine the estimation capabilities of the Artificial Neural Network(ANN) and its 'Deep Learning' faculty. To make use of the strength of the neural network model, which allows the recognition of patterns in data by modeling non-linear and complex relationships between variables, this study utilizes geographic coordinates (i.e. longitudinal/latitudinal points) as the locational factor of housing prices. Specifically, we built a dataset including structural and spatiotemporal factors based on the hedonic price model and compared the estimation performance of the models with and without geographic coordinate variables. The results show that high estimation performance can be achieved in ANN by explaining the spatial effect on housing prices through the geographic location.

• Journal of the Korean Geographical Society
• /
• v.34 no.1
• /
• pp.27-46
• /
• 1999

이 글은 상대적으로 연구 성과가 미비하고 그 접근방식도 다양하지 못했던 기존의 산지촌 연구를 회고하면서, 경관생태학적 관점을 활용하여 산지촌의 분포지역을 세분하고 이 틀 속에서 산지촌에 접근하자고 하였다. 특히 산지촌들이 생태지역에 따라 그 존립방식에 있어서 내적 차별성을 보인다는 점을 주목하였다. 연구지역은 산지촌이 전형적으로 분포하고 있는 강원 남부지역의 태백산맥 일대로서 지형경관, 사면경사도, 해발고도 등에 의거하여 세 개의 생태지역으로 세분될 수 있었다. 고위평탄면지역 산지촌, 고위산간지역 산지촌, 그리고 급사면산간지역 산지촌이 그것이다. 이러한 생태지역의 개념에 기초하여 먼저 산지촌의 형성과정을 역사적으로 추적해본 후, 자연경관, 촌락의 분포 패턴, 생활방식 등을 생태지역별로 비교하면서 구체적으로 서술하였다. 이 과정에서 도출된 세 곳의 생태지역, 생태지역별 자연경관 및 생활양식의 차별성, 산지촌 생활의 현실태, 촌락존립상의 문제점 등은 산지촌의 진흥방안을 모색하는 데 매우 중요한 관점과 방향을 제시해 줄 것으로 본다. 따라서 본고에서 사용한 경관생태학적 방법론은 연구지역 이외의 지역에서도 적용될 필요가 있으며, 이러한 연구가 전국의 산지촌으로 확대될 때 현실에 바탕을 둔 산지촌의 진흥방안이 마련될 수 있을 것으로 본다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.463-463
• /
• 2017

최근 다변량 확률모형 연구 및 기후변화에 따른 강우패턴 연구의 증가에 따라 시계열로 기록되어 있는 강우량 자료로부터 강우사상(Event)을 분리하는 연구 또한 활발히 이루어지고 있다. 일반적으로 강우사상은 최소무강우시간(Inter-Event Time)을 기준으로 전후강우가 독립적인 강우인지 연속적인 강우인지 구별하는데 이 최소무강우시간을 결정하는 방법이 각 사용되는 분야마다 일관되지 않은 점이 있다. 본 연구에서는 30년 이상 기록된 기상청 강우관측소 자료를 이용하였으며, 설계강우의 시간분포를 위한 Huff 4분위법에서 사용되는 6시간의 최소무강우시간분터 지수확률분포 방법으로 얻어지는 최소무강우시간(일반적으로 12시간 내외)까지 최소무강우시간의 변화에 따라 분리된 강우사상의 특성을 분석하였다. 또한 강우사상의 이변량 빈도해석 적합성을 검토하기 위해 연최대강우량 사상을 선정하여 빈도해석을 수행하였으며 최소무강우 시간에 따라 이변량 확률분포형 적합성을 검토하였다.