• Title/Summary/Keyword: ITS 영역

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AE Characteristic under Tensile of Carbon Steel for High-Pressure Pipe (고압배관용 탄소강의 인장시 음향방출 특성)

  • Nam Kiwoo;Lee Siyoon
    • Journal of the Korean Institute of Gas
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    • v.7 no.2 s.19
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    • pp.48-53
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    • 2003
  • This study is to look at the effect for deformation of carbon steel for high-presure pipe, on the AE signals produced by tensile test. Acoustic emission(AE) has been widely used in various fields because of its extreme sensitivity, dynamic detection ability and location of growing defects. We investigated a relationship failure mode and AE signals by tensile test, From the tensile test, we could divide into four ranges of the failure modes of elastic range, yield range, plastic range before $\sigma$u, plastic range after $\sigma$u. And failure behaviors of elastic range, yield range, plastic range before $\sigma$u, plastic range after $\sigma$u could be evaluated in tensile test by AE counts, accumulation counts and time frequency analysis. It is expected to be basic data that can protect a risk according to tensile test and bending of pipe material for pressure vessel, as a real time test of AE.

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Self-Regulated Learning of Adolescents: Its Current Status and Educational Implications (청소년의 자기조절학습: 현황과 교육적 함의)

  • Seung Ho Park ;Eun Hee Seo
    • Korean Journal of Culture and Social Issue
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    • v.14 no.1_spc
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    • pp.135-152
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    • 2008
  • The purpose of this study is to research psychological and social devices to foster self-regulated learning of Korean adolescents. This study investigated metacognitive, motivational, and behavioral factors of self-regulated learning through current research. In terms of metacognitive factors, we reviewed the importance of cognitive and metacognitive learning strategies of adolescents for better self-regulated learning. Especially we gave a great emphasis on the role of comprehension monitoring metacognitive strategy for the learning to read in this review. For motivational factors, recent research of self-regulated learning has tended to focus on self-efficacy and goal orientation. The current research examining behavioral factors of self-regulated learning has tended to focus on time management and academic procrastination. Research findings in the motivational aspect suggest that we need to develop the program to improve adolescents' self-efficacy and recognize new re-conceptualization of the goal theory. Research findings in the behavioral aspect recommend practical tips and strategies to improve time management skills and to overcome academic procrastination. Finally, future directions for research are discussed.

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Deep Learning Approach for Automatic Discontinuity Mapping on 3D Model of Tunnel Face (터널 막장 3차원 지형모델 상에서의 불연속면 자동 매핑을 위한 딥러닝 기법 적용 방안)

  • Chuyen Pham;Hyu-Soung Shin
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.508-518
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    • 2023
  • This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

A New Face Tracking Method Using Block Difference Image and Kalman Filter in Moving Picture (동영상에서 칼만 예측기와 블록 차영상을 이용한 얼굴영역 검출기법)

  • Jang, Hee-Jun;Ko, Hye-Sun;Choi, Young-Woo;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.2
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    • pp.163-172
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    • 2005
  • When tracking a human face in the moving pictures with complex background under irregular lighting conditions, the detected face can be larger including background or smaller including only a part of the face. Even background can be detected as a face area. To solve these problems, this paper proposes a new face tracking method using a block difference image and a Kalman estimator. The block difference image allows us to detect even a small motion of a human and the face area is selected using the skin color inside the detected motion area. If the pixels with skin color inside the detected motion area, the boundary of the area is represented by a code sequence using the 8-neighbor window and the head area is detected analysing this code. The pixels in the head area is segmented by colors and the region most similar with the skin color is considered as a face area. The detected face area is represented by a rectangle including the area and its four vertices are used as the states of the Kalman estimator to trace the motion of the face area. It is proved by the experiments that the proposed method increases the accuracy of face detection and reduces the fare detection time significantly.

Analysis of ITS Nucleotide Sequences in Ribosomal DNA of Morus Species (뽕나무속 식물의 ITS 영역 염기서열 분석)

  • 성규병;류근섭;김호락;남학우;구태원
    • Journal of Sericultural and Entomological Science
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    • v.43 no.1
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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.

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온도표준과 온도센서 특성

  • 이호근
    • Journal of the KSME
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    • v.31 no.6
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    • pp.506-511
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    • 1991
  • 1990년 1월 1일부터는 국제온도눈금 ITS-90에 준하여 국제온도눈금이 농용되게 되었으며, 이 새로운 국제온도눈금은 향후 적어도 약 20년간 국제적으로 적용될 예정이다. 새로운 국제온도 눈금의 제정으로 과거에 비해 660.deg. C-962.deg. C 온도영역에서 약 10mk의 정밀도로 온도를 측정할 수 있게 되었다. 하나의 온도계로 요구되는 전 온도영역을 정확히 측정할 수 있는 온도 계는 없으므로 온도측정 환경과 요구되는 정확도에 따라 적합한 온도센서를 선택하여 사용해야 하며 본 글에서는 대표적인 온도계의 특징에 대해 개설하였다.

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A Transition of Informetrics and Its Application : With Relation to Information Service (계량정보학의 변천과 응용에 관한 고찰 -정보서비스를 중심으로-)

  • 장우권
    • Proceedings of the Korean Society for Information Management Conference
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    • 1996.08a
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    • pp.101-104
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    • 1996
  • 학문은 다양한 이론적 배경을 토대로 시대적 환경에 적응하여 발전한다. 즉, 서로의 영역을 공유하면서 새로운 이론을 창출하고 실제로 이를 응용하고 있는 것이다. 계량서지학, 계량과학학, 문헌과학학등으로 일컫고 있는 계량정보학은 문헌의 분석을 위해 수량학적 방법으로 적용하여 연구하는 학문으로, 활발히 연구되어 응용되고있는 분야는 텍스트검색시스템, OPACs, 비디오텍스시스템, 하이퍼텍스트시스템, CD-ROM, 온라인 정보서비스, 전자출판, 전자우편, 케이블 TV 등의 전자정보서비스 분야이다. 본 연구에서는 계량정보학의 사적변천과 연구영역, 그 응용과 실제를 고찰하였다.

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A Study on Extracting Traffic Information Using Spatio-Temporal Image Analysis (시공간 영상분석에 의한 교통정보 산출기법에 관한 연구)

  • 이대호;박영태
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.635-638
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    • 1999
  • 도로 위에 설치된 카메라에서 검지 영역의 데이터를 입력받아 통과 차량수, 도로 점유율, 차량속도, 차간 거리 등의 교통정보를 실시간으로 산출하는 기법은 지능형 교통정보 시스템(ITS)의 핵심 분야이다. 본 논문에서는 검지영역의 시공간 영상 분석에 의해 다양한 기상 조건과 그림자 등의 환경의 변화에 민감하지 않은 교통정보 산출기법을 제안한다.

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Study on Distributed Tension Observer for Roll-to-Roll Electronic Printing System Using Sliding Mode (슬라이딩 모드를 이용한 롤투롤 인쇄 시스템을 위한 분산 처리 장력 관측에 관한 연구)

  • Lee, Hak-Sung
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.6
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    • pp.58-63
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    • 2010
  • In this paper, distributed tension observer for R2R process is proposed. The minimal order observer theory is utilized to design the distributed tension observer. The proposed method estimates the tension of a specific sub-process based on the speed and tension information from its adjacent sub-processes. Utilizing its properties, the proposed method can be applied to decentralized control structure. In order to achieve high estimation accuracy, sliding mode technique is also adopted to the proposed method.

LEET as a Reasoning Test (사고력 시험으로서의 법학적성시험)

  • Min, Chanhong
    • Korean Journal of Logic
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    • v.16 no.2
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    • pp.273-293
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    • 2013
  • This paper briefs the history of LEET(Legal Education Eligibility Test), describes its basic design, classifies the problems of its three subjects: Reading Comprehension, Reasoning and Argumentation, Essay according to their content categories and to their cognitive element categories, and states important features and traits of the whole set of problems, and finally raises some questions about the validity and relevancy of the test.

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