• Journal of architectural history
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• v.31 no.2
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• pp.7-18
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• 2022

This study discusses various conflict situations and unexpressed pathological potential in historical regions. In this regard, the issue of alienation of local people due to local identity was raised and the cause was investigated. It explains the structural origins of local alienation that occurred in the process of objectifying a region and forming its identity. The process of alienation of local residents of local identity identified in this paper was divided and explained in three stages: objectification of the region, symbolization of local identity, and religious materialism of local identity. In addition, in the process, the incorporation of the production mode of intellectual work, the separation of producers, and the loss of the subject-centered control ability over these products were pointed out as problematic situations. The study suggests to change the perception of the region and to restore the control of the local people through narrative in relation to this problematic situation. Thus, this thesis asserts that we need to have doubts about the justification for the public good and the basis of the resulting consensus, and that we should be constantly interested in the pathological signs of society around us.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.59-62
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• 2009

In general, as a dynamic range of digital still camera is narrower than a real scene‘s, it is hard to represent the shadow region of scene. Thus, multi-scaled retinex algorithm is used to improve detail and local contrast of the shadow region in an image by dividing the image by its local average images through Gaussian filtering. However, if the chromatic distribution of the original image is not uniform and dominated by a certain chromaticity, the chromaticity of the local average image depends on the dominant chromaticity of original image, thereby the colors of the resulting image are shifted to a complement color to the dominant chromaticity. In this paper, a modified multi-scaled retinex method to reduce the influence of the dominant chromaticity is proposed. In multi-scaled retinex process, the local average images obtained by Gaussian filtering are divided by the average chromaticity values of the original image in order to reduce the influence of dominant chromaticity. Next, the chromaticity of illuminant is estimated in highlight region and the local average images are corrected by the estimated chromaticity of illuminant. In experiment, results show that the proposed method improved the local contrast and detail without color distortion.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.11
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• pp.2086-2094
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• 2008

Finding a planar surface on 3D space is very important for efficient and safe operation of a mobile robot. In this paper, we propose a method using a plane detection cell (PDC) and iterative randomized Hough transform (IRHT) for finding the planar region from a 3D range image. First, the local planar region is detected by a PDC from the target area of the range image. Each plane is then segmented by analyzing the accumulated peaks from voting the local direction and position information of the local PDC in Hough space to reduce effect of noises and outliers and improve the efficiency of the HT. When segmenting each plane region, the IRHT repeatedly decreases the size of the planar region used for voting in the Hough parameter space in order to reduce the effect of noise and solve the local maxima problem in the parameter space. In general, range images have many planes of different normal directions. Hence, we first detected the largest plane region and then the remained region is again processed. Through this procedure, we can segment all planar regions of interest in the range image.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.47-55
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• 2018

In this paper, we propose a novel face recognition(FR) method that takes advantage of combining weighted deep local features extracted from multiple Deep Convolutional Neural Networks(DCNNs) learned with a set of facial local regions. In the proposed method, the so-called weighed deep local features are generated from multiple DCNNs each trained with a particular face local region and the corresponding weight represents the importance of local region in terms of improving FR performance. Our weighted deep local features are applied to Joint Bayesian metric learning in conjunction with Nearest Neighbor(NN) Classifier for the purpose of FR. Systematic and comparative experiments show that our proposed method is robust to variations in pose, illumination, and expression. Also, experimental results demonstrate that our method is feasible for improving face recognition performance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.149-160
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• 2024

This paper was conducted to improve understanding of how the start-up process affects the local community and how young entrepreneurs build and grow their businesses in the process through analysis of young people who started businesses in the region. The research method was conducted through in-depth interviews with 10 young entrepreneurs who started businesses in the western Gyeongsangnam-do region, where population decline is prominent, and the collected data was analyzed through a grounded theory approach to derive common and meaningful themes between each case. proceeded. As a result of the study, insights were derived about the background of entrepreneurs settling in the region, the motivation for starting a business using local resources, the impact of government and local government support, business strategies for sustainable growth, and the entrepreneurs' personal performance. Through this analysis, we hope to provide important insights into the positive impact local entrepreneurship has on the community and how young entrepreneurs contribute to local development.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.26 no.7
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• pp.983-990
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• 2002

A numerical analysis has been carried out on forced convection heat transfer in the developing region of a porous channel. The channel is filled with an isotropic porous medium. At the channel walls, a uniform heat flux is given. Comprehensive numerical solutions are acquired to the Brinkman-Forchheimer extended Darcy equation and the LTNE model which does not employ the assumption of local thermal equilibrium between solid and fluid phases. Details of thermal fields in the developing region are examined over wide ranges of the thermal parameters. The numerical solutions at the fully developed region are compared with the previous analytical solutions. The correlation for predicting local Nusselt number in a porous channel is proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.5
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• pp.1098-1103
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• 2007

This paper presents an automatic detection and removal method of red eye in a color image. The method detects initial red eye region based on redness and geometric feature, and extracts final red eye region considering local characteristics around the initial red eye region. Red eye fur the foal red eye region is removed by soft based removal method. In the experiments, the proposed method improved the red eye detection and removal results than that of Willamowski and Csurka[1].

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.9
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• pp.868-874
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• 2007

This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.299-300
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• 2006

In this paper, we propose a segmentation algorithm which combines the ideas from local watershed transforms and the region merging algorithm based hierarchical queue. Only the process of watershed and region merging algorithm can be restricted area. A fast region merging approach is proposed to extract the video object from the regions of watershed segmentation. Results show the effectiveness and convenience of the approach.

• Journal of KIISE:Software and Applications
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• v.34 no.6
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• pp.562-571
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• 2007

Various researches had been devoted in purpose of improving memory management in terms of performance, efficiency, ease of use, and safety. One of these approaches is a region-based memory management. Each allocation site selects a specific region, after that allocated objects are placed in this region. Memory is reclaimed by destroying the region, freeing all the objects allocated therein. In this paper, we propose reusing of local regions to reduce heap memory usage in memory-limited environments. The basic idea of this proposal is reusing of upper local regions where objects that are allocated to these regions are not accessed until the current method is finished. We believe our method of reusing local regions is able to overcome memory constraints in memory-limited environments.