• 한국환경교육학회지:환경교육
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• 제11권1호
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• pp.151-164
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• 1998

Conclusion and the improvement plan according to the survey on recycling wastes in 'the program of woman and environmental education' mainly for the chairwomen of the women's association of the apartment house in City and County of Chungchongnamdo during the first half of 1998 (from March tp April) are as follows. 1. Conclusion 1) It showed that the rate of recognition for recycle has no difference by regional groups and the rate of recognition is 57.4% but they mainly know vaguely or they do not know. 2) It showed that the rate they do not know how the separated wastes are recycled is 30.4% and the scope of their knowledge is approximative.(52.6%) 3) It showed that it is the housewives who mainly do the separate garbage collection (72.7%) and 19.1% of the people have no interest in the separate discharge. 4) It showed that the rate they filter the garbage or remove water from the garbage at house is 53.1%. And 20% of the people in the urban region dump untreated wastes but 8.5% of the people in the rural region do the same, so the rate of using garbage in the rural region is higher than that in the urban region. 5) It showed that the separate state of the garbage is 29.2% for the removal of toothpick and paper and 47.4% for the removal of vinyl and stopper. 6) It showed that 66.7% of the motive for recycling waste is the education activity for environment by the women's association and SAEMAEUL association and 34.5% of that is the influence of TV and radio. 7) It showed that the rate of making compost and feed using garbage in the rural region is higher than that in the urban region and in some urban regions, the rate they sprinkle the garbage in provisional compost state on the floor garden is high. 8) It showed that the recognition rate for the material of separately collected garbage corresponding to the separate waste system of 5-6 classification is 12.5% 9) It showed that the major variable which has an effect on the recycle is the education activity for environment by the neighborhood meeting(P<0.05) and by the women's association of saemaeul activity(P<0.05)

• 설비공학논문집
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• 제10권4호
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• pp.483-494
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• 1998

This study describes the characteristics on impeller discharge flow of a centrifugal compressor with vaneless diffuser. Distorted flow at impeller exit was investigated by measuring of unsteady velocity fluctuation using hot-wire anemometer. As a result, a wake region appears near shroud side and moves to suction side and also to hub side as flow rate decreases. Jet, wake, and their boundary region which can be defined in jet-wake flow model are clearly observed at a high flow rate for the flow coefficient of 0.64, however, as flow rate decreases to the flow coefficient of 0.19, the classification of their regions disappears. Turbulence intensity also increases as flow rate decreases. Measurement error from uncertainty analysis is estimated about 4% at the flow coefficient of 0.19

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2014년도 하계학술대회
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• pp.26-27
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• 2014

This paper presents an adaptive interpolation filtering scheme for the High Efficiency Video Coding (HEVC) standard. In regards to interpolation for motion estimation and compensation, the conventional HEVC employs 8-tap and 4-tap filters for luma and chroma samples, respectively. Coefficients in such filters are determined by discrete cosine transform (DCT). In the proposed scheme, boundary strength values are stored after the execution of the deblocking filter. For each block, the sum of boundary strength values is calculated to indicate whether its region is complex or simple. Consequently, based on the region classification, 12-tap and 8-tap interpolation filters are used for complex and simple regions, respectively. This process is applied to luma sample interpolation only. Simulation results show 1.8% average BD-rate reduction compared to the conventional method.

• 한국잠사곤충학회지
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• 제43권1호
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• pp.1-8
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• 2001

Nucleotide sequence in internal transcribed spacer (ITS) regions of ribosomal DNA among mulberry varieties (Morus species) were analyzed in order to identify the possibility of classification for the species. The variations in the ITS regions were compared among 9 mulberry varieties and one variety of Cudrania species as an outgroup. ITS 1 region of the varieties ranging from 219 to 220 bp in length was 49-50 bp shorter than ITS 2 region. Of 510 sites in the ITS 1 and 2 regions, 148 sites were potentially variable, of which 52% and 48% sites were distributed in ITS 1 and ITS 2 regions, respectively. By pairwise comparisons on the nucleotide sequences in the ITS 1 and 2 regions among 9 mulberry varieties, they were classified into 5 groups. Divergence values of the sequences, however, were considerably low ranging from 0 to 1.3%. Especially, there was no divergence among Backasipmunja, Chungilppong and Milsungpong and Jungyasang, Ssarigol II and Yulbon, respectively.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.153-156
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• 2005

Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

• 전기학회논문지
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• 제67권7호
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• pp.865-870
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• 2018

A machine vision based industrial inspection includes defects detection and classification. Fast inspection is a fundamental problem for many applications of real-time vision systems. It requires little computation time and localizing defects robustly with high accuracy. Deep learning technique have been known not to be suitable for real-time applications. Recently a couple of fast region-based CNN algorithms for object detection are introduced, such as Faster R-CNN, and YOLOv2. We apply these methods for an industrial inspection problem. Three CNN based detection algorithms, VOV based CNN, Faster R-CNN, and YOLOv2, are experimented for defect detection on metal surface. The results for inspection time and various performance indices are compared and analysed.

• 산업기술연구
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• 제28권B호
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• pp.143-148
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• 2008

A real-time face detection is to find human faces robustly under the cluttered background free from the effect of occlusion by other objects or various lightening conditions. We propose a face detection system for real-time applications using wavelet decomposition method based on Gabor features. Firstly, skin candidate regions are extracted from the given image by skin color filtering and projection method. Then Gabor-feature based template matching is performed to choose face cadidate from the skin candidate regions. The chosen face candidate region is transformed into 2-level wavelet decomposition images, from which feature vectors are extracted for classification. Based on the extracted feature vectors, the face candidate region is finally classified into either face or nonface class by the Levenberg-Marguardt back-propagation neural network.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1252-1255
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• 2002

In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

• 대한의용생체공학회:의공학회지
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• 제29권5호
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• pp.348-354
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• 2008

Segmenting vessels in lower extremity CT images is very difficult because of gray level variation, connection to bones, and their small sizes. Instead of segmenting vessels, we propose an approach that segments bones and subtracts them from the original CT images. The subtracted images can contain not only connected vessel structures but also isolated vessels, which are very difficult to detect using conventional vessel segmentation methods. The proposed method initially grows a 3-dimensional (3D) volume with a seeded region growing (SRG) using an adaptive threshold and then detects junctions and forked branches. The forked branches are classified into either bone branches or vessel branches based on appearance, shape, size change, and moving velocity of the branch. The final volume is re-grown by collecting connected bone branches. The algorithm has produced promising results for segmenting bone structures in several tens of vessel-enhanced CT image data sets of lower extremities.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.667-672
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• 2007

Land-use in Cheongju region is changing rapidly because of the increased interactions of human activities with the environment as population increases. We used multi-temporal Landsat images (1991 and 2000) and DEM data in a post-classification analysis with GIS to map land-use distribution and to analyse factors influencing the land-use changes for Cheongju City. Land-use statistics revealed that substantial land-use changes have taken place and that the built-up areas have expanded by about $17.57km^2(11.47%)$ over the study period (1991-2000). Agricultural lands and forests have decreased substantially while urban and barren lands have been on the increase. Rapid economic developments together with the increasing population were noted to be the major factors influencing rapid land use changes. Urban expansion has replaced urban and barren lands, thereby affecting habitat quality and leading to serious environmental degradation.