• Journal of Cadastre & Land InformatiX
• /
• v.48 no.2
• /
• pp.213-225
• /
• 2018

For constructing three-dimensional (3D) spatial information occlusion region problem arises in the process of taking the texture of the building. In order to solve this problem, it is necessary to investigate the automation method to automatically recognize the occlusion region, issue it, and automatically complement the texture. In fact there are occasions when it is possible to generate a very large number of structures and occlusion, so alternatives to overcome are being considered. In this study, we attempt to apply an approach to automatically create an occlusion region based on learning by patterning the blocked region using the recently emerging deep learning algorithm. Experiment to see the performance automatic detection of people, banners, vehicles, and traffic lights that cause occlusion in building walls using two advanced algorithms of Convolutional Neural Network (CNN) technique, Faster Region-based Convolutional Neural Network (R-CNN) and Mask R-CNN. And the results of the automatic detection by learning the banners in the pre-learned model of the Mask R-CNN method were found to be excellent.

• Journal of the Korean Institute of Telematics and Electronics D
• /
• v.36D no.3
• /
• pp.41-47
• /
• 1999

Ion implanted GaAs MESFET with low resistive layer was fabricated using Si diffusion into GaAs from SiN. During the thermal annealing at 95$0^{\circ}C$ for 30s, Si diffused into ion implanted region of GaAs from SiN and they formed low resistive layer of 350$\AA$ thickness. The diffusion of Si decreased the sheet resistance of source and drain region from 1000$\Omega$/sq. to 400$\Omega$/sq. and the AuGe/Ni/Au ohmic contact resitivity from 2.5$\times$10sub -6$\Omega$-cmsup 2 to $1.5\times$10sup -6$\Omega$-cmsup 2. The fabricated lum gate length MESFET with Si diffused surface layer shows the transconductance of 360ms/mm, 8.5dB of associated gain and 3.57dB of minimum noise figure at 12GHz. These performances are better than that of MESFET without Si diffused layer.

• Journal of Broadcast Engineering
• /
• v.4 no.1
• /
• pp.44-58
• /
• 1999

In this paper, a rate-distortion based image segmentation algorithm is presented using a recursive merging with region adjacency graph (RAG). In the method, the dissimilarity between a pair of adjacent regions is represented as a Lagrangian cost function considered in rate-distortion sense. Lagrangian multiplier is estimated in each merging step, a pair of adjacent regions whose cost is minimal is searched and then the pair of regions are merged into a new region. The merging step is recursively performed until some termination criterion is reached. The proposed method thus is suitable for region-based coding or segmented-based coding. Experiment results for 256x256 Lena show that segmented-based coding using the proposed method yields PSNR improvement of about 2.5 - 3.5 dB. 0.8 -1.0 dB. 0.3 -0.6 dB over mean-difference-based method. distortion-based method, and JPEG, respectively.

• The KIPS Transactions:PartB
• /
• v.8B no.5
• /
• pp.549-556
• /
• 2001

The general problems of recovering 3D for 2D imagery require the depth information for each picture element form focus. The manual creation of those 3D models is consuming time and cost expensive. The goal in this paper is to simplify the depth estimation algorithm that extracts the depth information of every region from monocular image sequence with camera translation to implement 3D video in realtime. The paper is based on the property that the motion of every point within image which taken from camera translation depends on the depth information. Full-search motion estimation based on block matching algorithm is exploited at first step and ten, motion vectors are compensated for the effect by camera rotation and zooming. We have introduced the algorithm that estimates motion of object by analysis of monocular motion picture and also calculates the averages of frame depth and relative depth of region to the average depth. Simulation results show that the depth of region belongs to a near object or a distant object is in accord with relative depth that human visual system recognizes.

• Journal of the Economic Geographical Society of Korea
• /
• v.27 no.2
• /
• pp.75-94
• /
• 2024

This study aims to examine changes in the location and spatial structure of the Korean manufacturing industry and to consider the factors that influenced them. From the 1960s to the 1980s, under Korea's export-oriented industrial policy and location policy of large-scale industrial complexes, a manufacturing spatial structure was centered on the Seoul Metropolitan Region and the Southeastern Region. Since the mid-1990s, with the emergence of economic globalization and strengthening corporate competitiveness, technology- and knowledge-intensive manufacturing and R&D activities have been concentrated in the Seoul Metropolitan Region. On the other hand, as the overseas relocation of assembly plants accelerated, the decline of industrial cities in the non-Metropolitan Region progressed. Since the 2010s, manufacturing and start-up activities have become more concentrated in the Seoul Metropolitan Region, showing signs of expanding to the adjacent northern Chungcheong Region. This results from changes in the global value chains followed by overseas relocation of production functions at the global level, and concentration of knowledge-intensive manufacturing and R&D activities in the Seoul Metropolitan Region at the national level, which are reflected in the spatial structure of the manufacturing industry.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.5
• /
• pp.1026-1033
• /
• 2009

In this study, we computed the unit load of nonpoint source for the forest, agricultural, and urban representative region in Anseongchun watershed. In addition, Flow-weighted mean concentration (FWMC) that well represents runoff characteristics of storm water during rainfall, was calculated, and runoff pollutants loading was also examined. FWMCs of 1st rainfall, which runoff coefficient was high, had a tendency higher than those of 2nd rainfall. Based on landuse results, pollutant concentration of the non-urban such as forest and agricultural regions was higher than that of urban region. In case of BOD, runoff pollutants loading was calculated as 1,395, 1,623, 2,268kg/d in 1st rainfall for forest, agricultural, and urban regions, respectively, while runoff loading of 2nd rainfall was 503kg/d in forest), 512kg/d in agricultural, and 898kg/d in urban. By landuses, unit load of the urban as 72.7kg/ha/yr was 12 times higher than that of the agricultural as 6.5kg/ha/yr, and 8 times higher than that of the forest as 9.5kg/ha/yr.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.2
• /
• pp.763-774
• /
• 2015

Hand posture recognition has been a wide region of applications in Human Computer Interaction and Computer Vision for many years. The problem arises mainly due to the high dexterity of hand and self-occlusions created in the limited view of the camera or illumination variations. To remedy these problems, a hand posture recognition method using 3-D point cloud is proposed to explicitly utilize 3-D information from depth maps in this paper. Firstly, hand region is segmented by a set of depth threshold. Next, hand image normalization will be performed to ensure that the extracted feature descriptors are scale and rotation invariant. By robustly coding and pooling 3-D facets, the proposed descriptor can effectively represent the various hand postures. After that, SVM with Gaussian kernel function is used to address the issue of posture recognition. Experimental results based on posture dataset captured by Kinect sensor (from 1 to 10) demonstrate the effectiveness of the proposed approach and the average recognition rate of our method is over 96%.

• Journal of ILASS-Korea
• /
• v.19 no.3
• /
• pp.109-114
• /
• 2014

The main purpose of this study is to provide basic information of droplet burning, extinction process and flame behavior of methanol fuel and improve the ability of theoretical prediction of these phenomena. For the improved understanding of these phenomena, this paper presents the experimental results on the methanol droplet combustion conducted under various initial droplet diameters ($d_0$), ambient pressure ($P_{amb}$), and oxygen concentration ($O_2$) conditions. To achieve this, the experimental study was conducted in terms of burning rate (K) with normalized droplet diameter ($d/d_0$), flame diameter ($d_f$) and flame standoff ratio (FSR) under the assumptions that the droplet combustion can be described by both the quasi-steady behavior for the region between the droplet surface and the flame interface and the transient behavior for the region between the flame interface and ambient surrounding.

• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.181-183
• /
• 2004

In this paper, We proposed an algorithm which extraction iris region from 2D image. Our method is composed of three parts : internal boundary defection and external boundary detection. Since eyelid and eyelash cover part of the boundary and the size of iris changes continuously, it is difficult to extract iris region accurately. For the interior and exterior boundary detection, we used partial differentiation of histogram. Performance of the proposed algorithm is tested and evaluated using 360 iris image samples.

• The Bulletin of The Korean Astronomical Society
• /
• v.42 no.1
• /
• pp.31.2-31.2
• /
• 2017

The central regions of barred-spiral galaxies contain interesting gaseous structures such as dust lanes and nuclear rings with intense star formation. While our previous studies were useful in understanding the formation of these structures star formation history, they were limited to 2D isothermal galaxies in which the stellar disk and halo are modeled by fixed gravitational potentials. To study the effects of bar growth as well as the vertical dimension, we use the mesh-free hydrodynamic code named GIZMO and run 3D simulations by treating the stellar disk and halo as being live. We find that the new 3D models form the gaseous features similarly to the previous 2D models, although the detailed formation processes are quite different. For example, a ring has a large radius when it first forms and shrinks over time in the previous 2D models. In the 3D live-potential models, however, a ring forms small and grows in size with time. We present the results of the new simulations and discuss them in comparison with the previous 2D results.