• Korean Journal of Plant Resources
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• v.19 no.1
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• pp.161-168
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• 2006

To investigate the origin of backyeoncho (Opuntia ficus-indica var. saboten), we isolated 685 bp clone using ITS primer pairs. The rDNA consists of the genes coding for the partial 54 bp 185, 162 bp 5.8S, and partial 56 bp 26S. The coding regions are interrupted by two internal transcribed spacers, 193 bp ITS1 and 220 bp ITS2. The ITS2 of backnyeoncho in length was shorter than that previously registered in Cucurbitoideae plants. The GC contents was 66.8% in ITS1, and 67.7% in ITS2. The rDNA of backnyeoncho matched to the previously reported genes and showed a high similarity with the 95% identity with Pereskiopsis porteri (L708037). In the phylogenetic analysis, the backnyeoncho rDNA was clustered with Pereskiopsis porteri (L708037).

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.210-213
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• 2002

차량 대기열 측정에 관한 연구는 효과적인 교통 통제를 위해서 필수적인 요소이다. 이를 위해 본 논문에서는 영역기반 영상처리를 이용한 차량 대기열 분석에 관한 방법을 제안한다. 도로 영상에서 영역을 설정하고 각 영역에서의 차량 검출방법을 통하여 차량 대기열의 길이를 계산하였다. 이때 차량의 검출은 영역 처리를 이용하였고 대기열 측정은 검출된 차량의 최종단 위치를 파악하여 계산하였다. 이러한 방법은 차량 통행량 분석에 이용하여 능동적 교통 신호 체계에 응용될 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.105-115
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• 2011

In Vision-based Intelligent Transportation System(ITS) the segmentation of road region is a very basic functionality. Accordingly, in this paper, we propose a region segmentation method using adaptive pattern extraction technique to segment road regions and sky regions from original images. The proposed method consists of three steps; firstly we perform the initial segmentation using Mean Shift algorithm, the second step is the candidate region selection based on a static-pattern matching technique and the third is the region growing step based on a dynamic-pattern matching technique. The proposed method is able to get more reliable results than the classic region segmentation methods which are based on existing split and merge strategy. The reason for the better results is because we use adaptive patterns extracted from neighboring regions of the current segmented regions to measure the region homogeneity. To evaluate advantages of the proposed method, we compared our method with the classical pattern matching method using static-patterns. In the experiments, the proposed method was proved that the better performance of 8.12% was achieved when we used adaptive patterns instead of static-patterns. We expect that the proposed method can segment road and sky areas in the various road condition in stable, and take an important role in the vision-based ITS applications.

• Journal of Gifted/Talented Education
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• v.25 no.6
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• pp.927-949
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• 2015

The purpose of this study was to find out the difference between importance and performance regarding perception of core competence of gifted education teachers through importance-performance analysis (IPA). One hundred fourteen elementary gifted education teachers including math and science participated in the study. The collected survey data was analyzed with IPA matrix. As the result, firstly, there was significant difference between importance and performance regarding perception of core competence of gifted education teachers. Secondly, core competencies of 'understanding knowledge', 'research and instruction', 'passion and motivation', and 'ethics' are high in both perceptions of importance and performance. However, both 'communication and practices' and 'professional curriculum development' are low. Thirdly, there was a difference in core competence of gifted education teachers between math and science at the competence of 'passion and motivation'. Math gifted education teachers perceived 'passion and motivation' high in both importance and performance while science gifted education teachers perceived its importance low and performance high. In addition, math gifted education teachers showed lower performance compared to its importance in the sub-categories; 'knowledge of gifted development', 'gifted child assessment', 'information gathering and its literacy', and 'creative answers to various questions'. However, science gifted education teachers showed lower performance compared to its importance in sub-categories; 'higher-order thinking skills in its subject', 'teaching methodology for self-directed learning', 'problem behavior of the gifted', and 'counseling the gifted'.

• Journal of Mushroom
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• v.11 no.2
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• pp.69-76
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• 2013

Pholiota species were collected from different geographical regions of the world. Genetic diversity and phylogenetic relationships were analyzed by rDNA-ITS sequences and RAPD polymorphism. The sizes of rDNA-ITS PCR amplicons of Pholiota spp. varied from 233~271, 158~223 and 174~219 bp, respectively. A phylogenetic tree was constructed on the ITS region sequences and Pholiota strains were classified into 8 clusters. Twenty strains in seven Pholiota spp. were classified into seven clusters by RAPD polymorphism using 15 arbitrary primers. Our experimental results suggested that rDN-ITS and RAPD analysis are useful tool for classifying Pholiota spp. and strains.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.5 s.311
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• pp.30-36
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• 2006

In this paper, a new type of written image segmentation based on relative comparison of region areas is proposed. The original image is composed of two distinctive regions; information and background. Compared with this binary original image, the observed one is the gray scale which is represented with complex regions with speckles and noise due to degradation or contamination. For applying threshold or statistical approach, there occurs the region-deformation problem in the process of binarization. At first step, the efficient iterated conditional mode (ICM) which takes the lozenge type block is used for regions formation into the binary image. Secondly the information region is estimated through selecting action and restored its primary state. Not only decision of the attachment to a region but also the calculation of the magnitude of its area are carried on at each current pixel iteratively. All region areas are sorted into a set and selected through the decision parameter which is obtained statistically. Our experiments show that these approaches are effective on ink-rubbed copy image (拓本 'Takbon') and efficient at shape restoration. Experiments on gray scale image show promising shape extraction results, comparing with the threshold-segmentation and conventional ICM method.

• Journal of Platform Technology
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• v.9 no.2
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• pp.46-54
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• 2021

Recently, interest in the safety of Self-driving has been increasing. Self-driving have been studied and developed by many universities, research centers, car companies, and companies of other industries around the world since the middle 1980s. In this study, we propose the automatic extraction method of the threatening obstacle on the Road for the Self-driving. A threatening obstacle is defined in this study as a comparatively large object at center of the image. First of all, an input image and its decreased resolution images are segmented. Segmented areas are classified as the outer or the inner area. The outer area is adjacent to boundaries of the image and the other is not. Each area is merged with its neighbors when adjacent areas are included by a same area in the decreased resolution image. The Obstacle area and Non Obstacle area are selected from the inner area and outer area respectively. Obstacle areas are the representative areas for the obstacle and are selected by using the information about the area size and location. The Obstacle area and Non Obstacle area consist of the threatening obstacle on the road. Through experiments, we expect that the proposed method will be able to reduce accidents and casualties in Self-driving.

• Journal of Korean Society of Forest Science
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• v.96 no.4
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• pp.425-431
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• 2007

To investigate genetic diversity and PCR detection of Rhizina undulata, PCR detection and sequence analysis of rDNA ITS region of R. undulata in soil were analyzed and developed. The length of partial 18S rDNA from four R. undulata isolates were 1,375 nt. The sequence similarity of R. undulata isolates was 100%. The rDNA ITS regions of R. undulata isolates were 585 nt long. Nucleotide sequencing of the ITS regions showed that PDK-1, PTT-1 and PDJ-9 isolates had 100% sequence identity. But, PDS-5 isolate differed from the three isolates by two nucleotide substitution. R. undulata-specific primers designed by the sequence of ITS region were used in PCR detection of R. undulata. PCR products about 525 bp size, which is specific to R. undulata, were amplified from total DNAs of R. undulata isolates. To assay the sensitivity of PCR detection by R. undulata ITS-specific primer, purely cultured mycelial suspension of R. undulata was serially diluted and mixed with 100g of sterile sandy loam soil, respectively. And then, PCR products of total DNAs extracted from each mycelium-soil mixtures were analysed. The PCR protocol could detected up to 1ng mycelium of R. undulata within 100g of soil.

• Korean Journal of Soil Science and Fertilizer
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• v.35 no.1
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• pp.12-26
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• 2002

The phylogenetic relationships for 33 strains belonging to the genera Azorhizobium, Bradyrhizobium, Mesorhizobium, Rhizobium and Sinorhizobium were conducted by the sequence analyses of the ITS regions. The sequence homologies of these strains showed the high variations(28.0 - 94.9%). According to the phylogenetic analysis of ITS regions. 37 ITS clones from 33 strains of 32 species were classified into four groups. Group I included all strains of the genus Sinorhizobium as core members and R. giardinii as a peripheral member. The genus Rhizobium strains were clustered into group II which was very heterogeneous and the tree toplogy of this group were very unstable. Among the members of group II. the taxonomic position of R. radiobacter and R. rubi was not clearly identified on the basis of ITS I regions. R. undicola and R. vitis were remotely related with other Rhizobium strains including R. leguminosarum, R. galegae, R. gallicum, R. mongolense, R. tropici, R. hainanense, R. rhizogense and R. huautlense of group II were supposed to be loosely related to R. leguminosarum. While the stains of the genera Bradyrhizobium constituted group III with Azorhizobium caulindans, the strains of the genus Mesorhizobium formed group IV on the relatively high sequence homology level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.418-424
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• 2014

In this paper, we propose a boundary input method for video surveillance systems. Since intrusion of a moving object is decided by comparition of its position and the surveillance boundary, the boundary input method is a basic function in video surveillance. Previous methods are difficult to adapt to the change of surveillance environments such as the size of surveillance area, the number of cameras, and the position of cameras because those build up the surveillance boundary using the captured image in the center of each camera. In our approach, the whole surveillance boundary is once defined in the form of polygon based on the satellite map and transformed into each camera environment. Its characteristics is that the boundary input is independent from the surveillance environment. Given the position of a moving object, the time complexity of its intrusion detection shows O(n), where n is the number of polygon vertices. To verify our method, we implemented a 3D simulation and assured that the input boundary can be reused in each camera without any redefinition.