• Journal of Korean Society for Geospatial Information Science
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• v.22 no.2
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• pp.11-16
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• 2014

GOSAT satellite $CO_2$ signal in years (June, 2009-December 2012) were compared with ground-based measurement at Anmyeon-do Korea Global Atmosphere Watch Center (KGAWC), located on the west coast of the Korean Peninsula. The result reveals that GOSAT signature is closely associated with ground-based measurement($R^2=0.49$). Strong correlation occurred between summer and fall ($R^2=0.62$) while weak relationship between satellite and ground-based measurement were identified in winter and spring ($R^2=0.37$). Average $CO_2$ concentration of GOSAT were 6.31 ppm lower than the corresponding values obtained from ground-based measurements on the same date. It is anticipated that this research output could be used as a valuable reference in introducing GOSAT to confirm data quality assurance for area-wide carbon monitoring process in relation to Anmyeon-do KGAWC $CO_2$ Concentration data.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.759-763
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• 2010

본 연구는 격자기반의 지표면 유출 및 도시 유역 우수관거 유출해석모형으로서 유역을 관거 유입구를 기준으로 다수의 소유역들로 구분하고 각 소유역내 지표면 흐름을 비선형저류방정식으로 표현하여 유출량을 산정하는 방법 및 유역을 일정한 크기의 격자로 분할한 상태에서 각 격자의 유입 유출을 계산함으로써 주어진 시간 간격별로 유역 전체에 대한 물수지를 파악하는 격자 물수지식을 이용하는 방법을 결합하여 도시유역의 지표면 유출량을 산정하기 위한 격자기반의 분포형 지표면 유출해석 모형을 개발하는 것을 연구의 목적으로 하였다. 즉, 본 연구에서 개발한 유출모형은 지표면 유출의 메카니즘을 비선형저류방정식으로 표현한다는 점에서 SWMM의 방법을, 격자기반으로 유출량을 계산 추적한다는 것이다. 또한 도시지역의 침수형태 및 원인을 파악함과 동시에 기존의 도시유출 해석모형을 일부 수정 및 보완하여 집중호우발생시의 지표이동류 흐름, 폐합형 우수관거, 하류부의 배수영향 등을 고려한 우수관거 유출모델을 개발하였다. 본 모형을 이용하여 가상 및 실제 유역에 대한 유출모의를 수행함으로써 모형의 적용성을 평가하였다. 본 연구에서 제시하는 격자기반 도시유출해석모형은 대상유역을 일정한 크기의 격자로 구성하고 개개의 격자마다 유출해석을 위한 지형정보와 수문정보를 입력하여 격자별 유출량을 계산 추적함으로써 유역의 임의의 위치에서의 유출량, 유출심의 시간적 변화와 공간적인 분포를 모의할 수 있다. 가상 및 실제 유역에 대한 유출해석을 통하여 본 연구에서 개발한 모형은 이동강우나 국지적인 집중호우 등 시공간적으로 변하는 수문 특성을 반영할 수 있고, 폐합형 우수관망 해석 및 하류부 배수효과를 검토하여 도시유역의 홍수방재관리에 유용하게 활용될 수 있을 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.786-792
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• 2022

In the cloud computing environment, there has been a lot of research into the Fog/Edge Computing (FEC) paradigm for securing user proximity of application services and computation offloading to alleviate service delay difficulties. The method of predicting dynamic location change patterns of edge devices (moving objects) requesting application services is critical in this FEC environment for efficient computing resource distribution and deployment. This paper proposes an optimal moving pattern extraction algorithm in which variable weights (distance, time, congestion) are applied to selected paths in addition to a support factor threshold for frequency patterns (moving objects) of edge devices. The proposed algorithm is compared to the OPE_freq [8] algorithm, which just applies frequency, as well as the A^* and Dijkstra algorithms, and it can be shown that the execution time and number of nodes accessed are reduced, and a more accurate path is extracted through experiments.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.12
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• pp.723-732
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• 2017

As the development of ICT technology, in order to solve the problem of scattered water information's availability, WINS(Water management Information Networking System) by the Ministry of Land, Infrastructure and Transport was established and has been operated since 2004. However, there has been a disadvantage of providing specialized and limited information to the water resources sector mainly and a lack of active sharing of information because of no compulsory provision of information sharing between participants. In order to solve these problems, this paper carried out system development study, to do this, the status of domestic water information was surveyed and domestic and overseas related systems were compared and analyzed. The latest ICT technology was used to realize the contents as screen, and the user interface definition was created to present a role model of integrated water management through maximizing visualization by combining GIS and realtime data and providing space-time integrated information. These prior studies reached to actual construction of the ICT-based integrated management system for water information by K-water. This system is in service to the public installed in the water information portal, "MyWater".

• Korean Journal of Ecology and Environment
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• v.47 no.spc
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• pp.57-65
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• 2014

Spatial and temporal distributions of zooplankton were measured in an oligotrophic pumped storage-type hydroelectric reservoir which was composed of two reservoirs exchanging water daily, with water going up at night and going down during the day. Repetitive diel disturbance of the water column can be a unique feature of this reservoir system. Chl-${\alpha}$ concentration was highest in the early winter season. Phytoplankton density was lower in summer monsoon due to high flushing rate on rainy days. The zooplankton density was higher in the smaller upper reservoir possibly due to lower fish density in the upper reservoir. In the seasonal variation a time gap was observed between the phytoplankton bloom and the zooplankton bloom (particularly a rotifer, Keratella cochlearis). It is likely to that Keratella production is partially supported by heterotrophic food sources than phytoplankton. The dominance of a mixotrophic dinoflagellate (Peridinium bipes f. ocultatum) might have complicated the trophic relationship between phytoplankton and zooplankton. Our results provide some ecological information of zooplankton community in a highly disturbed alpine reservoir ecosystem relying on mostly allochthonous organic matter.

• Journal of KIISE:Databases
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• v.33 no.4
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• pp.396-408
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• 2006

Moving object databases manage a large amount of past location data which are accumulated as the time goes. To retrieve fast the past location of moving objects, we need index structures which consider features of moving objects. The KDB-tree has a good performance in processing range queries. Although we use the KDB-tree as an index structure for moving object databases, there has an over-split problem in the spatial domain since the feature of moving object databases is to increase the time domain. Because the over-split problem reduces spatial regions in the MBR of nodes inverse proportion to the number of splits, there has a problem that the cost for processing spatial-temporal range queries is increased. In this paper, we propose the dynamic split strategy of the KDB-tree to process efficiently the spatial-temporal range queries. The dynamic split strategy uses the space priority splitting method for choosing the split domain, the recent time splitting policy for splitting a point page to maximize the space utilization, and the last division policy for splitting a region page. We compare the performance of proposed dynamic split strategy with the 3DR-tree, the MV3R-tree, and the KDB-tree. In our performance study for range queries, the number of node access in the MKDB-tree is average 30% less than compared index structures.

• Journal of KIISE:Software and Applications
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• v.32 no.11
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• pp.1121-1135
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• 2005

This paper proposes a moving object extraction method using the contrast map and salient points. In order to make the contrast map, we generate three-feature maps such as luminance map, color map and directional map and extract salient points from an image. By using these features, we can decide the Attention Window(AW) location easily The purpose of the AW is to remove the useless regions in the image such as background as well as to reduce the amount of image processing. To create the exact location and flexible size of the AW, we use motion feature instead of pre-assumptions or heuristic parameters. After determining of the AW, we find the difference of edge to inner area from the AW. Then, we can extract horizontal candidate region and vortical candidate region. After finding both horizontal and vertical candidates, intersection regions through logical AND operation are further processed by morphological operations. The proposed algorithm has been applied to many video sequences which have static background like surveillance type of video sequences. The moving object was quite well segmented with accurate boundaries.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.458-460
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• 2006

MPEG-4 BIFS(Binary Format for Scene) is the format to describe the information of time-spatial location of each visual objects in the scene. This is broadcasting for test through T-DMB in the our country and is able to be converted to various multimedia formats. The DMB receivers used currently are loaded on mobile devices mostly and the supply of the receiver is increasing steadily. These enable various service for convergence of DMB and wireless network to do. Therefore, this paper propose a new method of interactive multimedia authoring tool using wireless network and MPEG-4 BIFS. The proposed method corrects and complements MPEG-4 BIFS and have DMB broadcasting and wireless network co-operate. Also using this method, users can make out contents by themselves and can retransmit them through DMB broadcasting. The proposed method produce interactive multimedia contents reconstructed at user's request.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.77-80
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• 2009

3차원 영상 처리 기술과 3차원 디스플레이의 발전은 3차원 영상 시장의 빠른 발전을 가져왔고 차세대 방송 기술로 큰 관심을 받고 있다. 하지만 3차원 영상은 시청할 때 눈의 피로, 어지럼증과 같은 현상이 일어날 수 있으며, 왜곡된 3차원 영상이 인체에 해로운 영향을 미칠 수도 있다. 이는 3차원 영상 산업의 활성화를 위해서 가장 시급히 해결되어야 할 문제이다. 현재 3차원 디스플레이는 스테레오 방식과 함께 1view 1depth 다시점 방식이 개발되었다. 특히 1view 1depth 다시점 디스플레이에서 깊이 영상의 공간적/시간적으로 복잡한 정도는 피로감을 일으키는 주요 요소이며 이는 1view 1depth 영상을 통해 직접 연구할 수 있다. 본 논문에서는 1view 1depth 디스플레이에서 주관적인 피로도와 큰 상관도를 가지는 깊이 영상의 특성 측정 방법을 제안한다. 1view 1depth 디스플레이에서 view 영상은 양호한 화질을 가정하였으며 피로감에 큰 영향을 미치는 깊이 영상 정보만 사용하여 공간적, 시간적인 특성을 분석한다. 공간적 복잡도는 각 프레임에 대하여 깊이 영상 내 화소 값의 분산 값을 취하여 공간적으로 깊이 값의 분포와 구조의 복잡한 정도를 측정하고, 시간적 복잡도는 연속적인 프레임에 대하여 동일한 화소위치에서 화소 값 차이의 분산 값을 사용한다. 또한 공간적/시간적 평균값의 측정하여 피로감에 영향을 주는 요인으로 사용하였다. 결과적으로 측정한 값들을 바탕으로 주관적인 피로도 평가와 유사성을 가지도록 모델링하여 3차원 영상의 피로도를 예측한다.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.1-13
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• 2011

In order to create an intelligent autonomous agent in virtual world, we need a sophisticated design for perception, recognition, judgement and behavior. We develop the perception and recognition functions for such an autonomous agent. Our perception mechanism identifies lines based on differences in color, the primitive visible data, and exploits those lines to grasp shapes and regions in the scene. We develop an inferencing algorithm that can infer the original shape from a damaged or partially hidden shape using its characteristics from the ontology in order to intelligently recognize the perceived shape. Several individually recognized 2D shapes and their spatial relations form 3D shapes and those 3D shapes in turn constitute a scene. Each 3D shape occupies its respective region, and an agent analyzes the associated objects and relevant scenes to recognize things and phenomena. We also develop a mechanism by which an agent uses this recognition function to accumulate and use her knowledge on the scene in the historical context. We implement these functions presented above against an example situation to demonstrate their sophistication and realism.