• 한국환경복원기술학회지
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• 제4권3호
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• pp.75-83
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• 2001

This study selected Yangpyung as a target site because Yangpyung is a area of high value blessed with well preserved natural resources and beautiful natural scene and where thoughtless development and malformed use of land are in progress under the mask of hotel, accommodations and sales facility which fits the interests of land owner. As for the method used for this study, I inquired into domestic/international instances and the concept of existing environmental indicators and assessment of suitability with a view to establish assessment indicators and pose the concept through theoretical investigation of green-network and to establish green-network. 17 articles of environmental indicators such as aspect analysis, contour, greenbelt, DEM, NDVI, nature conservation area, reservoir and area for the promotion of agriculture were chosen as a actual analysing n data for setting up assessment indicators. From the result of analysis, as anticipated, green zone in Yongmusan areas within Youngmun and Seojong areas were the center of green-network in the wide area green-network in Yangpyung and the restricted area by basin system, road and legal regulation was selected as spot area and finally arable land and reservoir were selected as base which connects core with spot.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3598-3614
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• 2020

With the increase of motor vehicles and tourism demand, some traffic problems gradually appear, such as traffic congestion, safety accidents and insufficient allocation of traffic resources. Facing these challenges, a model of Spatio-Temporal Dilated Convolutional Network (STDGCN) is proposed for assistance of extracting highly nonlinear and complex characteristics to accurately predict the future traffic flow. In particular, we model the traffic as undirected graphs, on which graph convolutions are built to extract spatial feature informations. Furthermore, a dilated convolution is deployed into graph convolution for capturing multi-scale contextual messages. The proposed STDGCN integrates the dilated convolution into the graph convolution, which realizes the extraction of the spatial and temporal characteristics of traffic flow data, as well as features of road occupancy. To observe the performance of the proposed model, we compare with it with four rivals. We also employ four indicators for evaluation. The experimental results show STDGCN's effectiveness. The prediction accuracy is improved by 17% in comparison with the traditional prediction methods on various real-world traffic datasets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.643-661
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• 2018

This paper proposes a novel algorithm for lane detection based on inverse perspective transformation and Kalman filter. A simple inverse perspective transformation method is presented to remove perspective effects and generate a top-view image. This method does not need to obtain the internal and external parameters of the camera. The Gaussian kernel function is used to convolute the image to highlight the lane lines, and then an iterative threshold method is used to segment the image. A searching method is applied in the top-view image obtained from the inverse perspective transformation to determine the lane points and their positions. Combining with feature voting mechanism, the detected lane points are fitted as a straight line. Kalman filter is then applied to optimize and track the lane lines and improve the detection robustness. The experimental results show that the proposed method works well in various road conditions and meet the real-time requirements.

• 한국측량학회지
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• 제19권3호
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• pp.219-228
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• 2001

사회 기반시설에 대한 관리의 중요성이 높아지고, 국가적인 지형공간정보체계의 구축이 활발해짐에 따라 도로 시설물 정보의 정확한 구축을 위한 연구가 활발히 진행되고 있다. 지금까지는 도로 시설물 정보 취득에 기존의 지상측량 방법에 의한 현장 조사측량 방법이 사용되어 왔으나 본 연구에서는 수치사진측량 기법에 의하여 제작한 정사투영영상을 활용하여 도로상의 각종 시설물 정보를 취득하고자 하였다. 연구의 결과 제작된 정사투영영상으로부터 취득된 도로 시설물 정보는 1:1,000수치지도와 비교했을 때 약 12cm정도의 정확도를 가지고 있었으며, 수치지도에 표현되어 있는 도로 관련 시설물 뿐만 아니라 표현되어 있지 않은 각종 정보의 취득이 가능하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.698-701
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• 2005

This paper examines that is extracted certain information in forest areas within high resolution imagery based on wavelet transformation. First of all, study areas are selected one more species distributed spots refer to forest type map. Next, study area is cut 256 x 256 pixels size because of image processing problem in large volume data. Prior to wavelet transformation, five texture parameters (contrast, dissimilarity, entropy, homogeneity, Angular Second Moment (ASM≫ calculated by using Gray Level Co-occurrence Matrix (GLCM). Five texture images are set that shifting window size is 3x3, distance .is 1 pixel, and angle is 45 degrees used. Wavelet function is selected Daubechies 4 wavelet basis functions. Result is summarized 3 points; First, Wavelet transformation images derived from contrast, dissimilarity (texture parameters) have on effect on edge elements detection and will have probability used forest road detection. Second, Wavelet fusion images derived from texture parameters and original image can apply to forest area classification because of clustering in Homogeneous forest type structure. Third, for grading evaluation in forest fire damaged area, if data fusion of established classification method, GLCM texture extraction concept and wavelet transformation technique effectively applied forest areas (also other areas), will obtain high accuracy result.

• 한국대기환경학회지
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• 제5권2호
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• pp.12-20
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• 1989

Distribution of benzo(a)pyrene (BaP) in Seoul surface soils was investigated with a simple micro-analytical method consisting of ultrasonic extraction, one-dimensional dual band thin-layer chromatographic separation (TLC) and spectrofluorometric determination. The TLC was done in the following condition: thin-layer plate; Kieselguhr G/Acetylated cellulose, Developer; 1st; ether, 2nd; methanol-ether-water (4:4:1, V/V). The results thus obtained were as follows; 1. All the samples collected from various areas were contained detectable amount of benzo(a)pyrene. The range and average of benzo(a)pyrene contents in Seoul areas are 0.20 $\sim$5.90ppm and 1.01 ppm, respectively. 2. Benzo(a)pyrene contents in soils obtained from commercial areas were much higher than those in industrial and residential areas. The contents range in commercial, industrial, and residential areas are 0.31 $\sim$ 5.90 ppm, 0.36 $\sim$ 1.22 ppm and 0.20 $\sim$ 0.67 ppm, respectively. 3. Benzo(a)pyrene contents in soils from major roads were far higher than those from side or park roads. The ranges of benzo(a)pyrene contents in major, park and side road are 0.40 $\sim$ 5.9 ppm, 0.20 $\sim$ 0.70 ppm, 0.31 $\sim$ 1.30 ppm, respectively. These findings suggest strongly that surface soils in Seoul city are polluted by benzo(a)pyrene probably emitted automobiles.

• 품질경영학회지
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• 제44권2호
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• pp.277-296
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• 2016

Purpose: Propose model to diagnose and assess National Defense Industry and quality management by investigating and analyzing established standard model. Methods: Research on established internal model including MB, EQA and JQA model and make standard index for quality index extraction and quantitative index to test objectively for internal state. Results: Extract advantage and disadvantage by performance of National Defense Industry level diagnose and build foundation for quality management policy and road map. Conclusion: Due to result of diagnostic assesment of quality management of national defense industry, dependability, SCQM and safety part shows vulnerability and require improvement and support.

• Smart Structures and Systems
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• 제25권5호
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• pp.631-641
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• 2020

To meet the urgent requirements of safety surveillance from civil engineering management authorities, this study proposes a refined and efficient approach to generate full-field high-resolution panorama of construction sites using camera-amounted UAV (Unmanned Aerial Vehicle). GPS (Global Position System) information extraction for pre-registration, feature points filtering for efficient registration and optimal seaming line seeking for fusion are performed in sequence to form the full-field panorama generation framework. Advantages of the proposed method are as follows. First, GPS information can sort images for pre-registration, avoiding inefficient repeated pairwise calculations and matching. Second, the feature points are filtered according to the characteristics of the construction site images to reduce the amount of calculation. The proposed framework is validated on a road construction site and results demonstrate that it can generate an accurate and high-quality full-site panorama for the safety supervision in a much efficient manner.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.453-458
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• 2008

Under driving condition, A vehicle experiences various kinds of loads, which brings on the buckling and fracture of suspension systems. Lower control arm (LCA), which consists of 2 bush joints and 1 ball joint connection, is the one of the most important parts in the suspension system. The bush joints absorb the impact load and reduce the vibration from the road. When analyzing the LCA behavior, it is important to understand the material properties and boundary conditions of bushing systems correctly, because of the nonlinearity characteristics of the rubber. In this paper, in order to predict the large scale deformation of the LCA more precisely, three factors are newly suggested, that is, coupling of bush stiffness between translation and rotation, bush extraction force and maximum rotation angle of ball joint. LCA stiffness is estimated by CAE and component test. Analysis and test results are almost same and the validity of considering three factors in LCA analysis is verified.

• Spatial Information Research
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• 제14권2호
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• pp.235-244
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• 2006

모바일매핑시스템은 차량에 GPS, IMU, CCD 카메라 등을 장착하여 대상물의 위치 및 영상정보를 획득할 수 있는 효율적인 시스템으로 도로 시설물의 유지 관리, 수치 지도의 갱신 등 여러 분야에서 활용되고 있다. 이러한 모바일매핑시스템은 CCD 카메라 영상과 차량의 위치 및 자세정보를 제공하게 되고 이는 영상안의 객체에 대한 위치정보를 제공하는데 중요한 역할을 한다. 모바일매핑시스템에서의 위치 및 자세정보를 활용하여 본 연구에서는 획득된 정보를 이용하여 특정 이동객체를 대상으로 위치 추적 기술을 적용하여 보았다. 이러한 이동객체 추적 시스템은 모바일매핑시스템에서 획득된 다양한 지리정보 중에서 필요한 특정 객체만을 추출하여 정보에 대한 활용성을 증대 시킬 수 있을 것이다.