• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.241-248
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• 2022

Shear Reinforcement of Dual Anchorage(SRD) is used to reinforce the safety of reinforced concrete structures at construction sites. Welding is used to make shear reinforcement, and welding plays an important role in determining productivity and competitiveness of products. Therefore, a weld bead detection inspection is required. In this paper, we suggest an algorithm for inspecting welding beads using image data of welding beads. First, the proposed algorithm calculates a brightness value in a vertical direction in an image, and then divides a welding bead in a vertical direction by finding a position corresponding to a 50% height point of the brightness value distribution in the image. The welding bead area is also divided in the same way for the horizontal direction, and then the segmentation image is analyzed if there is a welding bead. The proposed algorithm reduced the amount of computation by performing analysis after specifying the region of interest. In addition, accuracy could be improved by using all brightness values in the vertical and horizontal directions using the difference of brightness between the base metal and the welding bead region in the SRD image. The experiment compared the analysis results using five algorithms, such as K-mean and K-neighborhood, as a method to detect if there is a welding bead, and the experimental result proved that the proposed algorithm was the most accurate.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.6
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• pp.324-332
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• 2005

In general, bus system consumes a very significant portion of power in a chip. Bus splitting can be used to reduce the energy dissipation and to reduce the Propagation delay on the bus by lowering the parasitic load of each bus segment. Data exchange probability distribution between a set of interconnected processing elements affects the average energy dissipation of the splitted bus architectures. In this research, we have developed tree-based bus splitting techniques and design methodologies, as an extension of horizontally aligned bus splitting. We have developed the methodology to select near-optimal bus architectures for low energy dissipation when data exchange probability distribution of a system is given. Experimental results show that the proposed techniques can reduce energy dissipation on the bus by up to 83$\%$.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.651-662
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• 2010

This paper describes a method to identify objects for autonomous navigation of an outdoor mobile robot. To identify objects, the robot recognizes the object from an image taken by moving robot on outdoor environment. As a beginning, this paper presents the candidates for a segment of region to building of artificial object, sky and trees of natural objects. Then we define their characteristics individually. In the process, we segment the regions of the objects included by preprocessing using multiple features. Multiple features are HSI, line segments, context information, hue co-occurrence matrix, principal components and vanishing point. An analysis of building identifies the geometrical properties of building facet such as wall region, windows and entrance. The building as intersection in vertical and horizontal line segment of vanishing point extracts the mesh. The wall region of building detect by merging the mesh of the neighbor parallelograms that have similar colors. The property estimates the number of story and rooms in the same floors by merging skewed parallelograms of the same color. We accomplish the result of image segmentation using multiple features and the geometrical properties analysis of object through experiments.

• Journal of Korea Multimedia Society
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• v.8 no.10
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• pp.1347-1359
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• 2005

We propose an efficient block classification of the document images using the second-order statistical texture features computed from spatial gray level dependence matrix (SGLDM). We studied on the techniques that will improve the block speed of the segmentation and feature extraction speed and the accuracy of the detailed classification. In order to speedup the block segmentation, we binarize the gray level image and then segmented by applying smoothing method instead of using texture features of gray level images. We extracted seven texture features from the SGLDM of the gray image blocks and we applied these normalized features to the BP (backpropagation) neural network, and classified the segmented blocks into the six detailed block categories of small font, medium font, large font, graphic, table, and photo blocks. Unlike the conventional texture classification of the gray level image in aerial terrain photos, we improve the classification speed by a single application of the texture discrimination mask, the size of which Is the same as that of each block already segmented in obtaining the SGLDM.

• School Mathematics
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• v.8 no.2
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• pp.161-176
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• 2006

Some adequate programs for mathematising are necessary to pre-service mathematics teachers, if they can guide their prospective students in secondary school to make a mathematising. They should be used to mathematising. In this paper, mathematising teaching units for the inquiry into number partition models with constant differences are designed for this purpose. They guide a series of process to make nooumenon for organizing phainomenon which is organized already through number partition model. Especially the new nooumenon and the process of obtaining it are discussed. But it is restricted when the numbers for partitioning are natural numbers, and elements and their differences are integers. Through these teaching units, pre-service mathematics teachers can experience and practice secondary mathematising, as they go through the procedures which are similar with those of mathematicians making theorems.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.377-381
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• 2005

본 연구에서는 내용기반 이미지 검색을 위한 에지 히스토그램 분석기법을 제안하여 20종류의 다양한 에지에 대한 에지 히스토그램을 분석한다. 전체영역에 대한 수평방향 에지 히스토그램을 분석하고, 전체 영역을 몇 개의 부분영역으로 분할하고 각 부분영역에 대한 에지 히스토그램을 수행하여 영역별 특징을 추출한다. 그리고 각각의 수평방향 에지 히스토그램에서 20종류의 에지 성분의 발생 패턴을 추출한다. 본 연구에서 제안한 에지 히스토그램 분석기법은 일반적으로 사용되는 5종류의 에지 성분을 사용한 방법보다 다양한 형태의 에지를 분석을 가능하게 함으로서 내용 기반 이미지 검색을 수행하는데 있어서 다양한 에지 특징을 추출함으로서 내용 기반 이미지 검색을 효과적으로 할 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.328-330
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• 2011

본 논문에서는 OpenMP를 이용하여 HEVC 복호화기의 디블록킹 필터를 병렬화하는 것을 제안한다. 본 논문에서는 HEVC 디블록킹 필터를 병렬화하기 위하여 슬라이스를 병렬 처리가 가능한 코어의 개수만큼의 영역으로 균등하게 분할 한 후 각 영역에 코어를 할당하였다. 각 영역에 할당된 코어들은 자신의 영역 내의 LCU에 대해서 순차 주사 순으로 필터링을 수행하는데, 먼저 영역 내의 모든 LCU에 대하여 수평방향으로 필터링을 수행한다. 이러한 수평방향 필터링이 완료된 후 동일한 영역에 대하여 다시 수직 방향으로 필터링을 수행한다. 본 논문에서 제안하는 OpenMP를 이용한 HEVC 디블록킹 필터 병렬화를 통하여 4-Core 환경에서 복호화기에서 디블록킹 필터링의 수행 시간을 약 2.51배 감소 시켰다.

• The korean journal of orthodontics
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• v.28 no.3 s.68
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• pp.461-477
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• 1998

To evaluate the relapse pattern and long-term stabilities depanding on surgical methods following orthognathic surgery of Cl III patients, the author selected 24 subjects(10 male, 14 female) operated by SSRO and 26 subjects(10 male,16 female) operated by IVRO. Each subject took four lateral cephalograms : just before surgery(T1), within 48hrs after surgery(T2), 4-8 wks after surgery(T3), 6 month or more after surgery(T4), and the landmarks were digitized. The differences of relapse patterns in each interval between two groups were compared and the significance of correlation among the variables of each group was tested. The obtained results are as follows ; 1. Horizontal early relapse was forward movement of mandible in SSRO group, as compared to the backward movement in IVRO group, and there was a statistical significance between the two groups. 2. Vertical early and late relapses were decreases in anterior facial height in both groups and there was no statistical significance between the two groups. 3. There was a statistical significance in negative correlation between mandibular horizontal late relapse and surgical change of articular angle in SSRO group. 4. There was a statistical significance in negative correlation between amount of mandibular set-back and mandibular horizontal early relapse in both groups.

• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.27-34
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• 2004

This thesis proposes a face detection algorithm using the color and edge informations in color image. The proposed algorithm segments skin color by Cb and Cr in YCbCr coordinates. Then face candidate regions are made after morphological filtering and labeling. For the regions, the Sobel vortical operation and horizontal projection are performed in the Y luminance components. The peak value indicates the eye location. Similarly, the chin location is detected by the Sobel horizontal operation and horizontal projection. The computer simulation shows that the proposed method gains similar detection rates of previous method and prevent facial region from including neck by detection of chin.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.115-116
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• 2008

최근 급속하게 증가하는 차량과 함께 운전자에게 보다 편리함과 안정성을 제공하기 위하여 첨단 안선 차량(ASV : Advanced Safety Vehicle)에 대한 연구가 활발히 이루어지고 있다. 본 논문에서는 그 중 한 분야인 카메라를 통한 자량 인식으로써, 전방 차량의 그림자를 이용하여 차량을 검출하고자 한다. 실험 절차는 크게 두 가지 단계로 나누어지며, 첫 번째 단계로는, 카메라를 통해 들어오는 도로 영상 이미지를 명도 값을 기반으로 영상을 차례로 분할하여 차량의 그림자를 나타낸다. 두 번째 단계로는, 선행 작업을 통해 얻어진 차량의 수평 그림자 성분을 이미지 안에서 탐색하여 차량의 위치를 검출하게 된다. 이에 제안된 방식을 검증하기 위해 CCD카메라를 이용하여 도로영상을 촬영하고, 컴퓨터 모의실험을 통해 전방차량이 검출됨을 보였다.