• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.819-826
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• 2002

Cellular neural networks(CNN) are neural networks that have locally connected characteristics and real-time image processing. Locally connected characteristics are suitable for VLSI implementation. It also has applications in such areas as image processing and pattern recognition. In this thesis cellular neural networks are used for feature detection in number recognition at the stage of re-processing. The four or six directional shadow detectors are used in numbers recognition. At the stage of classification, this result of feature detection was simulated by using a multi-layer back Propagation neural network. The experiments indicate that the CNN feature detectors capture good features for number recognition tasks.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.238-239
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• 2016

국내 재난발생 빈도가 점차 증가함에 따라 재난관리단계 중 대비 및 대응단계에 대한 전문분석정보 필요성 및 수요가 증가하고 있는 실정이다. 이에 본 연구에서는 재난상황별 주기적으로 모니터링 해야 하는 지역을 제안하여 보다 적합하고 체계적인 재난상황관리정보를 제공하고자 한다. 재난모니터링 필요지역을 제안하기 위해 환경적 요인과 지리적 요인을 고려하여 공간해석 및 공간분석을 수행하였으며 격자단위의 재난모니터링 필요지역을 추출하였다. 최근 재난피해가 주로 발생한 지역 중 울산광역시를 대상으로 연구를 수행하였으며, 그 중 재난취약자에 속하는 60대 이상의 거주인구를 중심으로 지진에 대한 재난모니터링 필요지역을 추출하는 연구를 수행하였다. 그 결과, 60대 이상의 거주인구가 신속한 대피로를 확보하기에는 대피소와의 거리가 멀고, 건물의 밀집도가 높게 분석됨에 따라 다소 어려울 것으로 판단되었다. 이에 향후 인자별 가중치 상세설정 및 고려하는 인자를 추가하여 재난모니터링 필요지역에 대한 재난안전시설 설치를 제안할 수 있는 2차 연구를 수행하고자 한다.

• Journal of Mushroom
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• v.18 no.3
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• pp.244-253
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• 2020

The aim of this study was to investigate the biological activity of extracts obtained from the mycelium, sclerotium, and fruiting body of Wolfiporia cocos using different extraction solvents (hot water, 70% ethanol, and 70% methanol). Among the three developmental stages, the mycelium extracts showed the highest DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging activity, ferric reducing antioxidant power (FRAP), nitrite scavenging activity, and total polyphenolic content. Among the extraction solvents in the context of the W. cocos mycelium, the DPPH radical scavenging activity, FRAP, and total polyphenol content in the hot-water extracts were significantly higher than those in the other extracts. In the case of the sclerotium, the reducing power, nitrite scavenging activity, and total polyphenol content were significantly higher in 70% ethanolic extracts. The fruiting body showed the highest DPPH radical scavenging activity, reducing power, nitrite scavenging activity, and total polyphenol content in the context of hot-water extraction. Moreover, the β-glucan content was significantly higher in the sclerotium versus the mycelium or fruiting body. The total amino acid and total essential amino acid contents were remarkably higher in the mycelium and fruiting body than in the sclerotium; of note, and arginine (Arg) and phenylalanine (Phe) were highly detected among the amino acid components.

• Journal of the Korea Society for Simulation
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• v.19 no.3
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• pp.7-16
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• 2010

In this paper, we propose an ambient light control method based on the difference of image frames in video. The proposed method is composed of three steps. 1) The first step is to extract a dominant color of a current frame. 2) The second step is to compute the amount of change and the representative color in the changed region using the difference image. 3) The third step is to make a new representative color. The difference image is created from two images transformed into the YUV color space. The summed color difference of each pixel is used for the amount of change. The new representative color is created by synthesizing the current color and the changed color in proportion to the amount of change. We compare the variations of the light effect according to time with and without the proposed method for the same video. The result shows that the new method generates more dynamic light effects.

• Annual Conference of KIPS
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• 2007.11a
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• pp.161-164
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• 2007

최근 인터넷과 멀티미디어 기술이 발달함에 따라 이미지 데이터의 양이 급속히 증가하고 있다. 증가하는 이미지를 효과적으로 관리하고 검색하기 위해 내용기반 이미지 검색에 대한 연구가 활발히 진행되고 있다. 대부분의 내용 기반 이미지 검색 시스템은 색상, 모양, 질감 특징을 이용한 유사도-기반검색에 초점을 맞추고 있다. 따라서 본 논문에서는 이미지에 나타나는 주요 색상과 색상의 공간적 특성을 포함하는 픽셀샘플링, 그리고 이미지의 외형적 변경에 강인함을 갖는 불변 모멘트 값을 이용한 내용기반 이미지 검색 시스템을 제안한다. 첫 번째 유사성 검사 단계에서는 이미지의 영역별로 가중치를 부여하여 추출한 대표색상을 사용하여, 유사하지 않은 이미지를 제거하여 검색대상의 수를 줄이며, 두 번째 유사성 검사 단계에서는 첫 번째 단계에서 선별된 후보 이미지에 색상의 공간적 정보를 포함한 픽셀샘플링을 이용하여 색상의 공간적인 위치까지 유사한 이미지만을 선별한다. 두 번째 유사성 검사단계에서 이미지가 외형적으로 변형된 유사이미지의 검출이 어려운 점을 보완하는 방법으로 이미지의 불변 모멘트를 이용하여 검색의 정확성을 높인다. 제안한 이미지 검색 방법은 10000개의 다양한 이미지로 구성된 데이터베이스에서 검색을 효율성을 실험하였다.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.748-757
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• 1999

본 논문에서는 차량 영역의 추출을 이용한 효율적인 교통 혼잡도 측정 시스템을 설계하고 구현한다. 차량 영역 정보의 추출은 첫째 영역 분할, 둘째 작은 영역의 제거와 영역의 직사각형화, 셋째 영역의 병합 및 삭제의 단계로 나눌 수 있다. 영역 분할 단계에서는 획득한 도로 영상을 영역 기반 영역 분할에 의해 영역으로 분할한다. 그 다음 영역 분할 후의 영역 정보 중 차량 영역을 추출하는데 영향을 미치지 않는 작은 영역들을 제거하고, 남은 영역들을 직사각형화한다. 마지막으로 차선 별로 남은 영역들을 병합, 삭제함으로써 각 차선마다 차량 영역 정보를 추출할 수 있다. 이러한 방법은 배경 영상과 같은 부가적인 정보를 사용하지 않고 도로 자체 영상만으로 교통 혼잡도를 측정할 수 있으며, 그림자의 영향이 없을 경우 적용할 수 있는 기법이다.Abstract In this paper, we designed and implemented an efficient road congestion analysis system using regional information. To extract vehicle regions from a road image, the system process the image in five steps: segmentation, small region elimination, region rectangularization, region merging and region deletion. First, we segment road image by a threshold value. Then, we eliminate useless small regions to extract vehicle region, and perform region rectangularization. Finally, we extract vehicle region of each lane of the road by region merging and deletion. This method has the advantage of measuring road congestion without additional information such as background images. But this method must be applied to road images without shadow.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.911-915
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• 2007

The course education is a concept including guidance of entrance into a school of higher grade and for choice a career which is suitable for us. The choice of career can affect the quality of our life. When we regard the course education as guide the way to live happily and valuably, we study about the object of course education in curriculum of computer. This study, first, analyze a course of computer and extract the points. Next, it researches a study and a career which is relevant the units. Lastly, it defines the way in studies and career according to the points, and systematize the points in steps.

• The Korean Journal of Applied Statistics
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• v.20 no.1
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• pp.23-38
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• 2007

Corporations adopt a segmentation depends on the existence of target variables, in general. In this paper, for the case of no target variables, a strategy through segmentation is proposed for corporations having a special status based on the management index. In case of segmentation using cluster analysis, however, if one classify according to many variables then he will be in face of difficulties in characterizing. Therefore, after extracting representative factors by factor analysis, a segmentation method through 2 step cluster analysis is employed on the basis of these representative factors. As a result, six segmentation groups are found and the resulting strategy is proposed which strengthens prominent factors and makes up defective factors for each group.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.33-44
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• 2022

The simulation function by the 4D system is a representative BIM function in the construction stage. For the 4D simulation, schedule information for each activity must be created and then linked with the 3D model. Since the 3D model created in the design stage does not consider schedule information, there are practical difficulties in the process of creating schedule information for application to the construction stage and linking the 3D model. In this study, after extracting the schedule information of the construction stage using the HDBSCAN algorithm from the 3D model in the design stage, authors propose a methodology for automatically generating schedule information by identifying precedence and sequencing relationships by applying the topological alignment algorithm. Since the generated schedule information is created based on the 3D model, it can be used as information that is automatically linked by the common parameters between the schedule and the 3D model in the 4D system, and the practical utility of the 4D system can be increased. The proposed methodology was applied to the four bridge projects to confirm the schedule information generation, and applied to the 4D system to confirm the simplification of the link process between schedule and 3D model.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.209-217
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• 2014

It is very important to classify a lot of table-form documents into the same type of classes or to extract information filled in the template automatically. For these, it is necessary to accurately analyze table-form structure. This paper proposes an algorithm to extract corner points based on line edge segments and to classify the type of junction from table-form images. The algorithm preprocesses image through binarization, skew correction, deletion of isolated small area of black color because that they are probably generated by noises.. And then, it processes detections of edge block, line edges from a edge block, corner points. The extracted corner points are classified as 9 types of junction based on the combination of horizontal/vertical line edge segments in a block. The proposed method is applied to the several unconstraint document images such as tax form, transaction receipt, ordinary document containing tables, etc. The experimental results show that the performance of point detection is over 99%. Considering that almost corner points make a correspondence pair in the table, the information of type of corner and width of line may be useful to analyse the structure of table-form document.