• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.12 no.3
• /
• pp.179-185
• /
• 2019

This paper proposes a block-type classification based image binarization for the implementation of the low-power feature extraction algorithm. The proposed method can be implemented with threshold value re-use technique approach when the image divided into $64{\times}64$ macro blocks size and calculating the threshold value for each block type only once. The algorithm is validated based on quantitative results that only a threshold value change rate of up to 9% occurs within the same image/block type. Existing algorithms should compute the threshold value for 64 blocks when the macro block is divided by $64{\times}64$ on the basis of $512{\times}512$ images, but all suggestions can be made only once for best cases where the same block type is printed, and for the remaining 63 blocks, the adaptive threshold calculation can be reduced by only performing a block type classification process. The threshold calculation operation is performed five times when all block types occur, and only the block type separation process can be performed for the remaining 59 blocks, so 93% adaptive threshold calculation operation can be reduced.

• Korean Journal of Applied Biomechanics
• /
• v.18 no.3
• /
• pp.93-105
• /
• 2008

This study was for the analysis of Kinematic variables, using 3 types of starting block position setting(25cm, 40cm, 35cm). The subjects of the study were 8 short-distance male runners. In the study, the most desirable block setting type for the runner who were average 180cm tall to get the good record was 45cm (distance between the starting line and the front block) and 40cm (distance between the blocks). In conclusion, the most favorable start in 100m race was to get the strongest propelling power at the start line. The most important technical point was quick responding ability to the start signal and reaching the maximum speed at the shortest time through the strong kick using the front leaning body angle and gravity. Type B start method has shown the most effective results for the improvement of the records in the 100m race.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.12 no.3
• /
• pp.186-191
• /
• 2019

In this paper, we propose a implementation approach of the high-speed feature extraction algorithm. The proposed method is based on the block type classification algorithm which reduces the computation time when target macro block is divided to smooth block type that has no image features. It is quantitatively identified that occurs at 29.5% of the total image using 200 standard test images with $64{\times}64$ macro block size. This means that within a standard test image containing various image information, 29.5% can reduce the complexity of the operation. When the proposed approach is applied to the Canny edge detection, the required latency of the edge detection can be completely eliminated, such as 2D derivative filter, gradient magnitude/direction computation, non-maximal suppression, adaptive threshold calculation, hysteresis thresholding. Also, it is expected that operation time of the feature detection can be reduced by applying block type classification algorithm to various feature extraction algorithms in this way.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.201-203
• /
• 2019

블록체인은 P2P 네트워크로 탈중앙화된 신뢰성 기반 데이터 공유 서비스를 제공한다. 다양한 블록체인 플랫폼 중에서도 이더리움은 가장 상용화된 플랫폼으로 비트코인의 한계를 극복하면서도 스마트 컨트랙트를 통한 신뢰성 있는 서비스를 제공한다. 본 논문에서는 블록체인 기반 분산 컴퓨팅 플랫폼인 이더리움에 속성기반 암호기법을 적용하여 네트워크 내의 블록체인에 대한 제한적 접근 서비스를 제안하고 이를 통해 블록체인 서비스 유형을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.49-52
• /
• 2020

블록체인은 분산 시스템 환경에서 비가역적 정보를 탈중앙화된 방식으로 검증하는 기술로 다양한 산업에서 적용되어 새로운 가치를 만들어내고 있다. 본 연구에서는 허가형 블록체인 기술을 대표하는 오픈소스 프로젝트인 하이퍼레저 패브릭 환경에서 체인코드 및 레저 유형에 따른 합의 작업에 대한 성능을 분석하였으며, 결과에 대한 분석을 통해 블록체인 기반 분산 어플리케이션의 성능 요구사항 도출에 활용 가능한 정보를 제시하였다. 이를 통해 다양한 산업에서 블록체인 도입 시 활용할 수 있는 객관적 성능 지표의 역할을 수행하여 블록체인 기술 활성화에 기여할 것으로 기대된다.

• The Transactions of the Korea Information Processing Society
• /
• v.2 no.6
• /
• pp.937-946
• /
• 1995

We proposed and efficient block segmentation and classification method for the document analysis using SGLDM(spatial gray level dependence matrix) and BP (back Propagation) neural network. Seven texture features are extracted directly from the SGLDM of each gray-level block image, and by using the nonlinear classifier of neural network BP, we can classify document blocks into 9 categories. The proposed method classifies the equation block, the table block and the flow chart block, which are mostly composed of the characters, out of the blocks that are conventionally classified as non-character blocks. By applying Sobel operator on the gray-level document image beforebinarization, we can reduce the effect of the background noises, and by using the additional horizontal-vertical smoothing as well as the vertical-horizontal smoothing of images, we can obtain an effective block segmentation that does not lead to the segmentation into small pieces. The result of experiment shows that a document can be segmented and classified into the character blocks of large fonts, small fonts, the character recognigible candidates of tables, flow charts, equations, and the non-character blocks of photos, figures, and graphs.

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

• Proceedings of the Korea Multimedia Society Conference
• /
• 2000.11a
• /
• pp.271-276
• /
• 2000

본 논문은 칼라 성분들간의 차분 영상과 휘도 영상을 이용하여 산출한 색차 휘도합 영상을 대상으로 블록에 기반한 영상 분할을 수행하여 객체의 형상 정보를 추출함으로써 분할 특성을 개선한 블록 기반 칼라 영상 분할 기법에 관한 것이다. 우선, R, G, B 영상들 간의 차분 성분들을 구하여 합산한 후, 이를 정규화하여 색차합 영상을 구한다. 다음으로 화소 단위로 휘도 영상의 상위 2비트와 정하화된 색차합 영상의 하위 6비트를 결합하여 색차 휘도합 영상을 얻는다. 이후, 기설정된 크기의 블록으로 분할된 색차 휘도합 영상의 각 블록을 질감 블록과 단순 블록 및 에지 블록으로 분류하고 각 유형의 블록별로 병합한 후, 기설정된 마커 배정 규칙에 따라 선택적으로 마커를 부여한다. 마지막으로, 마커가 부여되지 않은 블록을 대상으로 화소 단위의 워터쉐드 알고리즘을 적용함으로써 자연스러운 형상 정보를 얻을 수 있다. 컴퓨터 시뮬레이션 결과를 통해 고찰할 때, 제안된 방범은 질감 영역에서의 과분할의 문제와 과도한 연산량의 부담을 효과적으로 경감시킬 수 있으나, 더불어, 영상 분할용 파라미터들의 민감도가 낮아 서로 다른 화소 분포 특성온 갖는 영상들에 전역적인 파라미터들사용할 수 있을 뿐만 아니라 특히, 색차 휘도합 영상에 반영된 색차 성분에 힘입어 저대조 경계면에서의 분할 특성을 현저히 개선시킬 수 있는 이점이 있다.

• Proceedings of the Korean Institute of Landscape Architecture Conference
• /
• 2017.10a
• /
• pp.103-105
• /
• 2017

대구광역시 동구에 위치한 'A'아파트를 중심으로 진입로, 보도, 보차도, 휴게공간, 체육공간의 점토벽돌블록포장, 소형고압블록포장, 인조화강석블록포장에 대해서 발생 하자를 조사하였다. 먼저 하자분석을 위해 하자유형 및 종류를 정의하여 현장조사표를 개발하였으며, 이를 바탕으로 각 공간 및 블록종류에 따른 하자를 조사 분석하였다. 그 결과 진입로의 소형고압블록은 16.14개/$m^2$, 보도의 소형고압블록은 12.04개/$m^2$, 점토벽돌블록포장은 9.55개/$m^2$, 인조화강석블록은 3.66개/$m^2$로 나타났다. 보차도의 소형고압블록은 10.82개/$m^2$, 인조화강석블록은 2.59개/$m^2$, 휴게공간과 체육공간의 점토벽돌블록은 각각 13.64개/$m^2$, 6.02개/$m^2$개의 하자가 발생하였다. 다음으로 블록별 발생하자 종류를 살펴보면, 소형고압블록에서는 골재분리, 인조화강석블록에서는 얼룩이 가장 많았고, 점토벽돌블록은 보도에서는 침하가, 휴게공간과 체육공간에서는 얼룩의 발생량이 많았다. 마지막으로 하자발생부위별로 살펴보면 진입로, 보도, 보차도에서는 경계부의 하자가 많이 발생했으며, 휴게공간에서는 중앙부의 하자가 많이 나타났다. 반면 체육공간에서는 중앙부와 경계부의 차이가 거의 나지 않은 것으로 분석되었다.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.495-502
• /
• 2023

If traditional Korean villages or residential districts have formed a community on the ground of coexisting with nature, there is a different historical development process in which many European cities have created residences for multi households on the basis of roads and blocks in fortresses. Along with the modernization of society together with large-scale housing supply, the urban landscape of series of large apartment complexes has become universal views of our urban structure; thus, the viewpoint that small and medium-sized block-based collective housing, which are more common urban structures in European cities can be linked to the improvement of urbanity and neighborship is examined. Through the process, the possibility of expanding collective housing supply based on small and medium-sized blocks as an alternative method other than complex-type apartments based on superblock, I would like to make meaningful in terms of how we can change the fundamental mutual relationship with our lifestyle and the tangible change of collective housing types which has large impact on our lives.