• 제목/요약/키워드: Pre Inspection

검색결과 301건 처리시간 0.021초

정보시스템의 정보보호를 위한 사전점검에 관한 연구 (A Study of Pre-inspection for Information Security in Information System)

  • 이근호
    • 디지털융복합연구
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    • 제12권2호
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    • pp.513-518
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    • 2014
  • IT기술의 발전에 따라 다양한 신규 IT서비스가 생겨나고 있다. 신규 IT 서비스는 이용자의 서비스 접근의 편의성을 제공하나 네트워크와 복합 단말기 사용 등 정보시스템의 복잡도가 증가하고 있어 다양한 보안에 대한 위협과 취약성이 증가하고 있다. 정보시스템에 대한 안전성을 확보하기 위하여 정보통신 서비스 구축단계에서부터 정보보호 취약점 분석 등을 통해 사전에 취약점을 제거하고 정보보호 대책을 수립하여 적용하였는지에 대한 점검 활동에 대한 제도를 마련하고 있다. 본 논문에서는 정보시스템에 사전점검 방법에 대한 각 나라별 소개와 추진현황에 대해서 살펴본다. 한국인터넷 진흥원에서 추진하고 있는 사전점검 방법에 대한 추진 방향과 안전성을 확보하기 위한 활성화 방향에 대해서 제안한다.

Deep Learning Based Real-Time Painting Surface Inspection Algorithm for Autonomous Inspection Drone

  • Chang, Hyung-young;Han, Seung-ryong;Lim, Heon-young
    • Corrosion Science and Technology
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    • 제18권6호
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    • pp.253-257
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    • 2019
  • A deep learning based real-time painting surface inspection algorithm is proposed herein, designed for developing an autonomous inspection drone. The painting surface inspection is usually conducted manually. However, the manual inspection has a limitation in obtaining accurate data for correct judgement on the surface because of human error and deviation of individual inspection experiences. The best method to replace manual surface inspection is the vision-based inspection method with a camera, using various image processing algorithms. Nevertheless, the visual inspection is difficult to apply to surface inspection due to diverse appearances of material, hue, and lightning effects. To overcome technical limitations, a deep learning-based pattern recognition algorithm is proposed, which is specialized for painting surface inspections. The proposed algorithm functions in real time on the embedded board mounted on an autonomous inspection drone. The inspection results data are stored in the database and used for training the deep learning algorithm to improve performance. The various experiments for pre-inspection of painting processes are performed to verify real-time performance of the proposed deep learning algorithm.

Prediction of Local Tumor Progression after Radiofrequency Ablation (RFA) of Hepatocellular Carcinoma by Assessment of Ablative Margin Using Pre-RFA MRI and Post-RFA CT Registration

  • Yoon, Jeong Hee;Lee, Jeong Min;Klotz, Ernst;Woo, Hyunsik;Yu, Mi Hye;Joo, Ijin;Lee, Eun Sun;Han, Joon Koo
    • Korean Journal of Radiology
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    • 제19권6호
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    • pp.1053-1065
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    • 2018
  • Objective: To evaluate the clinical impact of using registration software for ablative margin assessment on pre-radiofrequency ablation (RFA) magnetic resonance imaging (MRI) and post-RFA computed tomography (CT) compared with the conventional side-by-side MR-CT visual comparison. Materials and Methods: In this Institutional Review Board-approved prospective study, 68 patients with 88 hepatocellulcar carcinomas (HCCs) who had undergone pre-RFA MRI were enrolled. Informed consent was obtained from all patients. Pre-RFA MRI and post-RFA CT images were analyzed to evaluate the presence of a sufficient safety margin (${\geq}3mm$) in two separate sessions using either side-by-side visual comparison or non-rigid registration software. Patients with an insufficient ablative margin on either one or both methods underwent additional treatment depending on the technical feasibility and patient's condition. Then, ablative margins were re-assessed using both methods. Local tumor progression (LTP) rates were compared between the sufficient and insufficient margin groups in each method. Results: The two methods showed 14.8% (13/88) discordance in estimating sufficient ablative margins. On registration software-assisted inspection, patients with insufficient ablative margins showed a significantly higher 5-year LTP rate than those with sufficient ablative margins (66.7% vs. 27.0%, p = 0.004). However, classification by visual inspection alone did not reveal a significant difference in 5-year LTP between the two groups (28.6% vs. 30.5%, p = 0.79). Conclusion: Registration software provided better ablative margin assessment than did visual inspection in patients with HCCs who had undergone pre-RFA MRI and post-RFA CT for prediction of LTP after RFA and may provide more precise risk stratification of those who are treated with RFA.

증강현실 기술을 활용한 BF 인증 사전 검사 방법 (Augmented Reality Pre-inspection for Barrier-Free Authentication)

  • 신형우;신윤석;유위성
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.233-234
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    • 2022
  • In Korea, various policies are implemented so that the socially disadvantaged (disabled, elderly, pregnant women, temporary disabled, etc.) can easily access individual facilities and areas. As the nation's interest in the socially disadvantaged increases, the need for BF certification is also emerging in buildings in private facilities. However, this system requires a lot of cost and time in the examination process, so if certification fails, social costs and time losses are high. To solve this problem, this paper presents a measurement plan for mixed reality devices using HoloLens, a mixed reality device hardware that can pre-check BF certification based on augmented reality, and Unity 3D, MRTK, a development tool.

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사전균열로 손상된 RC 보의 탄소섬유시트 보수 후의 균열성장 및 박락거동 (Crack Growth and Debonding Behaviors of the Pre-cracked RC Beams Repaired with Carbon Fiber Sheets)

  • 김충호;고신웅
    • 한국구조물진단유지관리공학회 논문집
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    • 제10권5호
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    • pp.121-129
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    • 2006
  • 본 연구는 균열이 발생한 R/C보를 탄소섬유시트(Carbon fiber sheet)로 보수했을 경우 시트의 박락과 균열의 확대 및 성장 메커니즘을 조사한 것이다. 실험변수는 하중형식, 재하속도, 사전균열 유무 등이다. 실험에서, 보의 파괴는 전단력 급변에 의한 재하점 직하부의 단차박리의 발전과 전파로 시작됨이 확인되었지만, 파괴기구는 하중형식, 재하속도, 사전균열 유무 등에 영향을 받지 않았다. 특히, 사전균열을 갖는 보의 경우, 균열의 성장은 재하점 직하의 특정한 균열에 집중되고, 이 균열의 확장에 의한 탈착이 보의 파괴를 이끌었다.

A FEASIBILITY STUDY ON THE NUMERICAL PRE-ASSEMBLY SIMULATION USING 3D LASER SCANNING MEASUREMENT

  • Kyoungmin Kim ;Seok Kim ;Chan-Hyuk Park ;Kyong Ju Kim
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.1193-1198
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    • 2005
  • The pre-assembly takes a large portion of the fabrication cost of steel bridges. In order to save the fabrication cost through the improvement of the conventional pre-assembling process, this research investigates a numerical pre-assembly simulation as an alternative to current pre-assembling process. The 3D laser scanning was utilized in site and measuring data for steel box were analyzed. The productivity of pre-assembly simulation system is compared with the conventional pre-assembling system. This paper identifies feasibility on the alternative pre-assembling process and then proposes the scheme of the pre-assembly simulation system development satisfying the current pre-assembly inspection of standards.

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사회기반 시설물의 안전점검 및 정밀안전진단결과 DB 구축방안 연구 (Database Construction Plan of Infrastructure Safety Inspection and In-depth Inspection Results)

  • 유종모;신은철
    • 한국지반신소재학회논문집
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    • 제13권4호
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    • pp.133-141
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    • 2014
  • 본 연구에서는 교량, 터널, 댐, 상수도 등 사회기반 시설물의 안전점검 및 정밀안전진단결과를 DB화하고 업무프로세스를 자동화하기 위해 각 시설물별로 점검진단에 필요한 항목을 표준화해서 분류체계를 마련하였고 사전조사에서부터 현장조사, 시설물평가, 보고서작성에 이르는 전 과정에서 걸쳐 데이터베이스 기반의 자료구조를 정의하고 파일럿시스템을 구현하였다. 또한 점검진단결과 DB가 효과적으로 활용될 수 있도록 개선방안을 제시하고, 시설물정보관리종합시스템 운영규정, 점검진단 세부지침 등 관련 규정/지침에 대한 개선방안을 제시하였다.

DEVELOPMENT OF A MACHINE VISION SYSTEM FOR AN AUTOMOBILE PLASTIC PART INSPECTION

  • ANDRES N.S.;MARIMUTHU R.P.;EOM Y.K.;JANG B.C.
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.1131-1135
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    • 2005
  • Since human is vulnerable to emotional, physical and environmental distractions, most human inspectors cannot sustain a consistent 8-hour inspection in a day specifically for small components like door locking levers. As an alternative for human inspection, presented in this study is the development of a machine vision inspection system (MVIS) purposely for door locking levers. Comprises the development is the structure of the MVIS components, designed to meet the demands, features and specifications of door locking lever manufacturing companies in increasing their production throughput upon keeping the quality assured. This computer-based MVIS is designed to perform quality measures of detecting missing portions and defects like burr on every door locking lever. NI Vision Builder software for Automatic Inspection (AI) is found to be the optimum solution in configuring the needed quality measures. The proposed software has measurement techniques such as edge detecting and pattern-matching which are capable of gauging, detecting missing portion and checking alignment. Furthermore, this study exemplifies the incorporation of the optimized NI Builder inspection environment to the pre-inspection and post-inspection subsystems.

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초등학생의 계절 변화 개념 검사를 위한 도구 개발 (Development of Tool for Examining Seasonal Change Concepts of Elementary School Students)

  • 노자헌;손준호;김종희
    • 대한지구과학교육학회지
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    • 제13권1호
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    • pp.74-89
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    • 2020
  • 이 연구의 목적은 신뢰도와 타당도가 확보된 계절 변화 개념 검사 도구를 개발하고 계절 변화 개념과 관련된 하위 개념과 오개념에 대하여 객관적으로 관찰하고 분석하여 변인 간의 관계를 설명하고자 하였다. 계절 변화 개념 검사 도구의 개발 과정은 검사 도구 개발 계획 수립, 검사 도구 초안 개발, 예비 검사 및 검사 도구 수정, 최종 검사 도구 개발, 본 검사 실시의 과정으로 이루어졌다. 개발된 검사 도구는 학생의 계절 변화 개념 형성 정도를 검사하고 개념 형성에 어려움이 있다면 그 원인이 무엇인지 분석하여 적절한 학습과 도움을 제공하는데 활용할 수 있다. 개발한 검사 도구를 이용하여 6학년 198명을 대상으로 한 회귀 분석 결과 선수학습개념의 이해정도와 오개념의 교정 정도는 계절 변화 단원에서 학습한 개념에 정적으로 유의미한 영향을 미치는 것으로 나타났으며, 특히 오개념이 더 큰 영향을 미치는 것으로 나타났다. 평균 점수를 기준으로 절단점을 생성하여 구분한 두 구간 중 평균 점수 이상 구간 학생들은 오개념의 교정 정도가 유의미한 영향을 미쳤으며, 평균 점수 이하 구간 학생들은 선수학습개념의 이해정도가 유의미한 영향을 미쳤다.

피뢰기를 고려한 자가용 전기설비 인입선로의 직류누설전류시험에 관한 연구 (A Study on the DC Leakage Current Test for Power Cable of Private Electrical Facilities considering Lightning Arrester)

  • 정기석;길형준
    • 전기학회논문지
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    • 제67권1호
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    • pp.142-147
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    • 2018
  • Private electrical facilities are judged whether it is suitable for the insulation aging condition of their incoming underground cables using DC leakage current test method. In the case where the service point of utility is the secondary side of cut out switch installed in the electric pole, there is a problem that it is difficult to separate the lightning arresters(LA) because of their high position of the pole. Therefore, the field test voltage is applied at value lower than DC 30 kV, which are stated in the inspection guideline. However, this test could reduced the insulation performance of the LA by accelerating the electrical stress of the metal oxide varistor element in the pre-breakdown region. In this study, we analyzed the relationship between the DC test voltage and the leakage current using the non-destructive DC high voltage equipment with leakage current measurement function. The results show that the leakage current increases sharply above the specified test voltage. As a consequence, it could be contributed to improve insulation aging inspection method by selecting the possible test area on the VI characteristic curve of the pre-breakdown area of the LA.