• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.676-686
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• 2015

A 4D light field image is represented in traditional 2D spatial domain and additional 2D angular domain. The 4D light field has a resolution limitation both in spatial and angular domains since 4D signals are captured by 2D CMOS sensor with limited resolution. In this paper, we propose a dictionary learning-based superresolution algorithm in 4D light field domain to overcome the resolution limitation. The proposed algorithm performs dictionary learning using a large number of extracted 4D light field patches. Then, a high resolution light field image is reconstructed from a low resolution input using the learned dictionary. In this paper, we reconstruct a 4D light field image to have double resolution both in spatial and angular domains. Experimental result shows that the proposed method outperforms the traditional method for the test images captured by a commercial light field camera, i.e. Lytro.

• Tunnel and Underground Space
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• v.19 no.3
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• pp.167-173
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• 2009

Underground storage cavern is known as the most complicated underground project because of the complexity of construction schedule, tunnel size, and geological problems. In order to optimize the construction schedule of underground storage cavern, two up-to-date technologies were applied. The first technology was 3 dimensional visualization of complicated underground structures, and the second was 4 dimensional simulation considering construction resources, geological conditions and construction schedule. This application case shows that we can achieve optimized construction schedule in the ways to optimize the number of work teams, fleets, the sequence of tunnel excavation, the commencement time of excavation and the hauling route of materials and excavated rocks. 3 dimensional modeling can help designer being able to understand the status of complicated underground structures and to investigate the geological data in the exact 3 dimensional space. Moreover, using 4 dimensional simulation, designer is able to determine the bottle neck point which appear during hauling of excavated rocks and to investigate the daily fluctuation in cost.

• Journal of Convergence for Information Technology
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• v.7 no.3
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• pp.73-81
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• 2017

The generalized Hough transform (GHough) is a useful technique for detecting and locating 2-D model. However, GHough requires a 4-D parameter array and a large amount of time to detect objects of unknown scale and orientation because it enumerates all possible parameter values into a 4-D parameter space. Several n-to-1 mapping algorithms were proposed to reduce the parameter space from 4-D to 2-D. However, these algorithms are very likely to fail due to the random votes cast into the 2-D parameter space. This paper proposes to use internal gradient information in addition to the model boundary points to reduce the number of random votes cast into 2-D parameter space. Experimental result shows that our proposed method can reduce both the number of random votes cast into the parameter space and the execution time effectively.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.97-102
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• 2007

Recently, coastal damage according to the natural disaster like storm-surge, overflowing of the sea has been massively increased. In case of earth fill at the seaside, there are a lot of weak areas of the natural disaster and it has also high possibility that a large disaster happens. Thus flood expectation map in the reclaimed land using 3D spatial information was produced in this study. The area around Myungji, Kangsugu, Busan which was made with the large scale earth fils at the seaside was designated as a study area. Observation of both costal datum and ground height using the tidal date and field surveying dates was conducted. Terrain model using the GIS program was produced and than 3D building model was produced using 3D MAX. It was shown that there are possibility more than 50% if over 4.5m storm-surge is happening, as a result of calculating the virtual flooded area on the produced cartographic map.

• Journal of Energy Engineering
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• v.22 no.2
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• pp.156-168
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• 2013

Drilling expedition #1 in 2007 and drilling expedition #2 in 2010 were performed for gas hydrate resources evaluation and optimal site selection of pilot test in Ulleung basin, East Sea, Korea. This study presents to build the 3D spatial distribution models using the estimated sedimentary facies, porosity, and gas hydrate saturation derived by well logs and core analysis data from UBGH1-4, UBGH1-9, UBGH1-10, UBGH1-14, UBGH2-2-1, UBGH2-2-2, UBGH2-6, UBGH2-9, UBGH2-10 and UBGH2-11. The objective of 3D spatial distribution modeling is to build a geological representation of the gas hydrate-bearing sediment that honors the heterogeneity in 3D grid scale. The facies modeling is populating sedimentary facies into a geological grid using sequential indicator simulation. The porosity and gas hydrate saturation modeling used sequential Gaussian simulation to populate properties stochastically into grid cells.

• The Transactions of the Korea Information Processing Society
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• v.4 no.8
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• pp.2007-2016
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• 1997

Generally the quantitative and qualitative knowledges are used to describe the spatial information between objects in 2-dimensional space. In this study, we consider the combin of two knowldeges for complementing each disadvantages and suggest a method of maintaining a locational relation when a moving object is rotated or moved to another place between n static-objects. Also, we suggest a algorithm of modifying the relations when new locational relation is inserted into the network that represent the spatial knowledgs of the static objects. Then in order to apply our result, we have constructed a system which provide the locational informations between building and a moving car

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.95-98
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• 2012

본 논문에서는 DCT 변환 공간상의 배경휘도와 주파수를 고려한 2차원의 개선된 광-적응 효과(luminance adaptation: LA) JND 모델을 제안한다. 기존의 LA JND 모델은 배경 휘도가 중간점인 회색에 가까울수록 JND가 낮고, 배경 휘도가 어두워지거나 밝아질수록 JND 값이 증가하는 U자형의 1차원 함수형태를 보였다. 그러나 기존 LA JND 모델은 주파수에 따른 영향이 반영되지 않았기 때문에 DCT와 같은 주파수 공간상 JND 모델로는 부정확 한 단점이 있다. 본 논문에서는 주파수와 배경휘도에 따른 2차원 LA JND 모델을 제안한다. 주파수에 따른 LA JND 값을 실제 실험을 통해 획득하였다. 실험 방법은 9가지 크기의 배경 휘도가 다르고 공간적 복잡도가 없는 균일한 영상을 대상으로 $8{\times}8$ 실수형 DCT를 수행한 다음, 15가지 경우의 주파수 크기가 다른 계수들에 대해 사람이 인지 할 때 까지 노이즈를 증가시켜서 JND 값을 찾는 방식을 사용하였다. 실험 결과 4 cpd(cycle per degree) 보다 작은 주파수 대역 에서는 기존의 LA JND 모델과 유사한 결과를 얻었지만 4 cpd보다 큰 주파수 대역에서는 오히려 배경휘도가 작은 값을 가질수록 JND가 감소하는 형태를 보였다. 수행한 실험 결과를 반영하여 주파수가 반영된 2차원 LA JND 모델을 제안한다.

• The Journal of Bigdata
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• v.4 no.1
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• pp.83-97
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• 2019

With sensor and communication technology development, spatial data related to business activities is exploding. Spatial data is now evolving into atypical data about space over three dimensions, away from two-dimensional geographic data. In addition to the Fourth Industrial Revolution, which connects the virtual space with the real space, there is a great opportunity for companies to utilize it. The analysis of recent overseas cases shows that it is possible to analyze customized services by understanding the situation of customers and objects located in the space, to manage risk, and furthermore to innovate business processes by analyzing spatial data. In the future, business innovation that combines spatial data from various sources and real-time analysis of relationships and situations between people and objects in space is expected to expand in all business fields.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.11a
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• pp.71-74
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• 2002

이 연구에서는, 가상현실(virtual reality)분야에서 현실감 있는 가상공간을 구성하는데 중요한 요소인 3차원 입체영상과 입체음향을 하나의 메커니즘으로 구성하기 위한 알고리즘에 대해서 기술하였다 동기화 이중(Sync Doubling) 방식과 머리전달함수(Head Related Transfer Function: HRTF)를 이용하여 간단한 입체 게임을 구성한 후, 4명의 학생을 대상으로 실험한 결과, 3차원 입체영상은 모니터의 전후 방향으로 돌출되거나 함몰되는 현상을 나타냈으며, 영상에 따른 입체음향의 재생도 확인할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.797-804
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• 2013

This paper presents an efficient design method of multiplierless 2-D state space digital filter based on a particle swarm optimization(PSO) algorithm. The design task is reformulated as a constrained minimization problem and is solved by our newly developed PSO algorithm. To ensure the stability of the designed 2-D state space digital filters, a stability strategy is embedded in the basic PSO algorithm. The superiority of the proposed method is demonstrated by several experiments. The results show that the approximation error and roundoff noise of the resultant filters are better than those of the digital filters which designed by recently published filter design methods. In addition, the designed filters with power-of-two coefficients have only about 1/4 computational burden of the 2-D digital filters designed in the 2's complement binary representation.