• Title/Summary/Keyword: 작업영역분석

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Feature Extraction of Welds from Industrial Computed Radiography Using Image Analysis and Local Statistic Line-Clustering (산업용 CR 영상분석과 국부확률 선군집화에 의한 용접특징추출)

  • Hwang, Jung-Won;Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.5
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    • pp.103-110
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    • 2008
  • A reliable extraction of welded area is the precedent task before the detection of weld defects in industrial radiography. This paper describes an attempt to detect and extract the welded features of steel tubes from the computed radiography(CR) images. The statistical properties are first analyzed on over 160 sample radiographic images which represent either weld or non-weld area to identify the differences between them. The analysis is then proceeded by pattern classification to determine the clustering parameters. These parameters are the width, the functional match, and continuity. The observed weld image is processed line by line to calculate these parameters for each flexible moving window in line image pixel set. The local statistic line-clustering method is used as the classifier to recognize each window data as weld or non-weld cluster. The sequential procedure is to track the edge lines between two distinct regions by iterative calculation of threshold, and it results in extracting the weld feature. Our methodology is concluded to be effective after experiment with CR weld images.

COF Defect Detection and Classification System Based on Reference Image (참조영상 기반의 COF 결함 검출 및 분류 시스템)

  • Kim, Jin-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1899-1907
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    • 2013
  • This paper presents an efficient defect detection and classification system based on reference image for COF (Chip-on-Film) which encounters fatal defects after ultra fine pattern fabrication. These defects include typical ones such as open, mouse bite (near open), hard short and soft short. In order to detect these defects, conventionally it needs visual examination or electric circuits. However, these methods requires huge amount of time and money. In this paper, based on reference image, the proposed system detects fatal defect and efficiently classifies it to one of 4 types. The proposed system includes the preprocessing of the test image, the extraction of ROI, the analysis of local binary pattern and classification. Through simulations with lots of sample images, it is shown that the proposed system is very efficient in reducing huge amount of time and money for detecting the defects of ultra fine pattern COF.

Application of Scanning Total Station for Efficiency Enhancement of Tunnel Surveys (터널측량의 효율성 향상을 위한 스캐닝 토털스테이션의 활용)

  • Park, Joon-Kyu;Kim, Min-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.242-247
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    • 2017
  • Over- and under-excavation are factors that increase construction cost of tunnels, which makes management essential. Total stations have been used for tunnel surveying because GNSS is difficult to use in tunnels. However, it takes much time to acquire data using total stations. In this study, a total station was integrated with a 3D laser scanner and used for tunnel surveying in Namyangju-si, Gyeonggi-do. The scanning total station reduced the work time compared to the conventional method. Furthermore, reports were effectively generated for overbreak and underbreak for each section and compared with the design. In addition, we could analyze both the cross section and scanned area effectively by using the scanning data. This method can improve the efficiency of tunnel surveying work by combining the advantages of a conventional total station and a 3D laser scanner.

A study on color image compression using downscaling method and subsampling method (다운스케일링 기법과 서브샘플링 기법을 활용한 컬러 이미지 압축에 관한 연구)

  • Lee, Wan-Bum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.20-25
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    • 2019
  • Most multimedia signals contain image data, so the problem of efficient processing and transmitting the image data is an important task of the information society. This paper proposes a compression algorithm that reduces the color bits according to importance using YUV color space among the various methods of compressing image data. 4: 2: 2 subsampling is the standard in the field of video. Using the color information and the characteristics of the human retina, YUV color data was reduced by 4: 2: 2 subsampling. The YUV images and RGB images can be interconverted using the transformation matrix. The image data was converted into color space by YUV, and the relatively low U and V bits were subjected to a downscaling operation. The data was then compressed through 4: 2: 2 subsampling. The performance of the proposed algorithm was compared and analyzed by a comparison with existing methods. As a result of the analysis, it was possible to compress the image without reducing the information of the low importance color element and without significant deterioration in the quality compared to the original.

Low-cost privacy protection integrated monitoring system using interest emphasis method (관심강조 방법을 활용한 저비용 사생활보호 통합관제시스템)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.234-239
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    • 2021
  • Recently, as the installation of a large number of high-performance CCTVs for crime prevention and traffic control has increased rapidly, the problem of increasing system requirements for response to privacy infringement factors and analysis of high-definition image information transmitted from multiple cameras has been actively emerging. Accordingly, there is a need for a method for responding to privacy infringement and a method for efficiently processing surveillance images input from multiple cameras. In this paper, in order to reduce the processing cost of the input image and improve the processing speed, an integrated image is generated by grouping images input from a plurality of cameras. After analyzing the pre-generated integrated video, it detects a preset privacy event or an event that highlights interest. Depending on whether or not an event is detected, you will perform an editing operation corresponding to the event.

Development of usability evaluation index of convergence technology remote fluid monitoring device for non-face-to-face patient nursing system application and analysis of results (비대면 환자 간호시스템 적용을 위한 융합기술의 원격 수액모니터링 장치 사용성평가 지표 개발 및 결과 분석)

  • Kim, Seon-Chil
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.137-145
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    • 2022
  • The usability evaluation of the remote fluid monitoring device, which was introduced to reduce the work of nurses and increase the efficiency, was performed due to the expansion of the non-face-to-face medical system. Remote fluid monitoring is a fusion of various technologies such as fluid measurement and analysis, error correction technology, and transmission technology. The range of use by users, the information they want to obtain, and the control device, etc. are wide, and the factors that evaluate the product are also diverse. Therefore, it is difficult to improve the product through evaluation. In this study, a quantitative index was developed to help improve the product for commercialization by conducting 20 usability evaluations in three areas of product stability, operability, and satisfaction with the remote sap monitoring system device. It was performed through infrared and load cell-type sap monitoring devices. In terms of stability, there was a difference in installation work such as fixing the pole of the device, and high satisfaction was shown for operability and accuracy. In terms of product satisfaction, the satisfaction of load cell devices was generally high.

Implementation of Propagation delay estimation model of medium frequency for positioning (측위 적용을 위한 중파의 전파 지연 예측 모델 구현)

  • Yu, Dong-Hui
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.2
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    • pp.111-118
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    • 2009
  • Against Anomaly of GPS, there are several projects of independent satellite navigation systems like Galileo of Europe and QZSS of Japan and modernization of terrestrial navigation system like Loran. In domestic, the need of independent navigation system was proposed and DGPS signal was nominated as the possible substitute. The DGPS signal uses medium frequency, which travels through the surface and cause the additional delay rather than the speed of light according to Conductivities and elevations of the irregular terrain. The similar approach is Locan-C. Loran-C has been widely used as the maritime location system. Loran-C uses the ASF estimation method and provides more precise positioning. However there was rarely research on this area in Korea Therefore, we introduce the legacy guaranteed model of additional delay(ASF) and present the results of implementation. With the comparison of the original Monteath results and BALOR results respectively, we guarantee that the implementation is absolutely perfect. For further works, we're going to apply the ASF estimation model to Korean DGPS system with the Korean terrain data.

Region Growing Method for Calculating Unmeasured Rate of Aerial LiDAR Data (항공라이다의 결측률 산출을 위한 영역확장 기법)

  • Han, Soung-Man;Kim, Ji-Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.29-38
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    • 2010
  • The airborne LiDAR which was introduced in the early 2000's provides the point data. The new methods for the verification of LiDAR materials with high accuracy which is different from the existing airborne survey are needed. In accordance with the rules of airborne laser survey which were enacted in 2009, the verifications by three methods of Unmeasured Rate and point accuracy, point density have been executed, and Unmeasured Rate is to evaluate the rate for the presence of points within uniform grids except non-reflective areas such as watershed areas. For the calculation of Unmeasured Rate, non-reflective areas should be removed by all means, and in case of normal LiDAR materials, as there are scant points for watershed areas, watershed areas should be divided by additional spatial information. So, in this study, the watershed areas were extracted using domain extension technique from the high resolution CIR images of 0.3m grade. In addition, in order to compare the accuracy of Unmeasured Rate calculated, the comparative analysis of the Unmeasured Rate calculated by digital maps has been done. In conclusion, we found that 1I1e accuracy of Unmeasured Rate extracted by domain extension technique is similar to the value extracted by digitizing technique.

Investigation of Conserved Regions in Lipase Genes (Lipase 유전자의 보존적 영역 탐색)

  • 이동근;김철민;김상진;이상현;이재화
    • Journal of Life Science
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    • v.13 no.5
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    • pp.723-731
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    • 2003
  • For the investigation of conserved regions in lipase genes, 132 and 24 sequences were obtained from LED (Lipase Engineering Database) and COG (Clusters of Orthologous Groups of proteins), respectively. There was high diversity in lipase genes and peculiar amino acid sequences were conserved for each homologous family of LED. Similar conserved amino acid sequences were detected from COG0657 and Moraxella lipase 1 homologous group of LED. Although many studies have attempted to detect new lipase genes in procaryotes, they have been limited culturable bacteria. The importance of metagenome, including DNA from non-culturable bacteria, is known. Due to the high diversity, we assumed it might be possible to detect new lipase gene from metagenome. Due to the high diversity of nucleotide sequences in lipase genes, 10 primer sets were designed. Designed primer sets were inspected in BLAST of NCBI and they could amplify a part of the lipase gene from 222 to 713 bp. They can amplify 16.7%∼60.0% of each lipase homologous group which was 3.6 fold higher than each sets. They might offer a high probability of detecting new lipase genes, owing to high efficiency and the diversity of lipase genes.

The effects of implicit and explicit situation awareness instruction on decision making and ERP (명시적$\cdot$암시적 상황인식이 의사결정과 ERP에 미치는 영향)

  • Chung sang-taek;Kim jin-gu
    • Korean Journal of Cognitive Science
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    • v.16 no.2
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    • pp.141-154
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    • 2005
  • The purpose of this study was to investigate the effects of implicit and explicit situation awareness instruction on decision making and event related brain potentials. Psychophysiological data obtained from 36 intermediated level tennis players whose National Tennis Rating Program(NTTP) belong 2 to 2.5 were compared. Participants were randomly assigned to one of three experimental groups: (1) implicit situation awareness, (2) explicit situation awareness, and (3) control group. A total of 90 clips were presented via a beam project screen, and participants pressed one of three jelly bean buttons to indicate the direction of ball hit. Dependent measures were the latencies and amplitudes of P300 on Pz, Cz, and Fz. The results of this study indicated that participants in the implicit situation awareness produced tenser P300, than participants in the explicit situation awareness group. The findings also indicated that single defense showed longer P300 latencies than single attack as well as double defense. The P300-amplitude of treatment groups were longer than control group. The Cz area showed shorer P300 latencies than Pz and Fz areas. In addition, single defense situation demonstrated longer P300 latencies than single attack and double defence situations. Based on this study, it is believed that implicit and explicit situation awareness instruction influence decision making in different ways.

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