• Title/Summary/Keyword: Safety camera

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OIL SPILL DETECTION AND MONITORING BY HEBEI SPIRIT DISASTER USING SATELLITE DATA (허베이 스피리트호 유류 유출 탐지 연구)

  • Yang, Chan-Su
    • Proceedings of KOSOMES biannual meeting
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    • 2008.05a
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    • pp.125-127
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    • 2008
  • 허베이스피리트호 원유유출 사고는 2007년 12월7일 아침 7시6분경 서해안 만리포 북서쪽 10km 해상에서 크레인을 적재한 1만1800t급 바지선이 정박 중인 흥콩 선적 유조선 허베이 스피리트호(14만6000t급)와 부딪치면서 발생했다. 이와 같은 기름 유출 사고의 경우, 유출 범위를 정확하게 이해하는 것이 중요하다. 여기서는 위 사고 기간에 얻어진 인공위성 자료를 이용하여 기름 유출을 탐지하기 위한 연구결과를 소개한다. 광학과 마이로파영상에 대해 유출 범위의 계산 및 해석 알고리듬에 대한 현재까지의 결과를 소개한다. 광학영상으로는 아리랑 2호 (다목적 실용위성 2호, KOMPSAT II) MSC(Multi Spectral Camera)자료가 사용되었으며, 합성개구레이더로는 ENVISAT ASAR, TerraSAR-X 및 ALOS PALSAR의 자료가 사용되었다.

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Deterioration Analysis of Electric Systems in Diesel Electric Locomotives (디젤전기기관차 전기장치 노후도 평가)

  • Kim, Jeong-Guk;Baek, Seung-Koo;Lee, Chang-Young;Kwon, Sung-Tae;Kwon, Seok-Jin
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.1213-1219
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    • 2008
  • The deterioration analysis of electric systems in diesel electric locomotives, which were used for over 30 years, was performed to understand current wear and safety information. The electric systems include electric generation, traction motors, control units, high-voltage cables, and wires. In this investigation, various types of performance testing, such as insulation resistance measurement and degradation tests, were conducted to assess the degree of current deterioration. Moreover, an infrared camera was employed to verify abnormal heating in cables and wires. In this paper, the new techniques for evaluation of deterioration in electric systems have been introduced.

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Evaluation of sequence tracking methods for Compton cameras based on CdZnTe arrays

  • Lee, Jun;Kim, Younghak;Bolotnikov, Aleksey;Lee, Wonho
    • Nuclear Engineering and Technology
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    • v.53 no.12
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    • pp.4080-4092
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    • 2021
  • In this study, the performance of sequence tracking methods for multiple interaction events in specific CdZnTe Compton imagers was evaluated using Monte Carlo simulations. The Compton imager consisted of a 6 × 6 array of virtual Frisch-grid CZT crystals, where the dimensions of each crystal were 5 × 5 × 12 mm3. The sequence tracking methods for another Compton imager that consists of two identical CZT crystals arrays were also evaluated. When 662 keV radiation was incident on the detectors, the percentages of the correct sequences determined by the simple comparison and deterministic methods for two sequential interactions were identical (~80%), while those evaluated using the minimum squared difference method (55-59%) and Three Compton method (45-55%) for three sequential interactions, differed from each other. The reconstructed images of a 662 keV point source detected using single and double arrays were evaluated based on their angular resolution and signal-to-noise ratio, and the results showed that the double arrays outperformed single arrays.

Development of TOF Sensor for Vehicle Safety Support (차량 안전 지원용 TOF 센서 개발)

  • Shin, Seong-Yoon;Cho, Seung-Pyo;Shin, Kwang-Seong;Lee, Hyun-Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.670-671
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    • 2022
  • In this paper, we intend to develop a new TOF sensor that provides object occupancy information and location information by fusing the pixel value of the camera and the distance value of the TOF sensor. The developed sensor can be applied to school buses, school buses, city buses, and trucks (applicable to passenger vehicles).

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Porthole Detection Deep Learning Device for the Safety of Port Workers Using Bicycles, "Safe Bike(Sabi)" (자전거를 이용하는 항만근로자들의 안전을 위한 파손 도로 탐지 딥러닝 디바이스, "Safe Bike(Sabi)")

  • Kwon, Giyeon;Park, Gihyun;Lee, Yubin;Lee, Eunji;Kwon, Taeho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.327-330
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    • 2020
  • Port workers commuting by bicycle are threatened by damaged roads such as port halls created by large cargo. To solve this problem, a device was designed to detect broken roads with sensors and a camera.

Deep Learning-Based Occupancy Detection and Visualization for Architecture and Urban Data - Towards Augmented Reality and GIS Integration for Improved Safety and Emergency Response Modeling - (건물 내 재실자 감지 및 시각화를 위한 딥러닝 모델 - 증강현실 및 GIS 통합을 통한 안전 및 비상 대응 개선모델 프로토타이핑 -)

  • Shin, Dongyoun
    • Journal of KIBIM
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    • v.13 no.2
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    • pp.29-36
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    • 2023
  • This study explores the potential of utilizing video-based data analysis and machine learning techniques to estimate the number of occupants within a building. The research methodology involves developing a sophisticated counting system capable of detecting and tracking individuals' entry and exit patterns. The proposed method demonstrates promising results in various scenarios; however, it also identifies the need for improvements in camera performance and external environmental conditions, such as lighting. The study emphasizes the significance of incorporating machine learning in architectural and urban planning applications, offering valuable insights for the field. In conclusion, the research calls for further investigation to address the limitations and enhance the system's accuracy, ultimately contributing to the development of a more robust and reliable solution for building occupancy estimation.

Camera Module for Vehicle Safety (차량 안전용 카메라 모듈)

  • Shin, Seong-Yoon;Cho, Seung-Pyo;Lee, Hyun-Chang;Shin, Kwang-Seong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.633-634
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    • 2022
  • 본 논문에서는 비행 시간 측정(TOF) 센서와 동일한 View로 고정되고 차량의 진행 방향으로 수평 설치 가능한 카메라를 연구 개발한다. 이 카메라는 객체 인식 정확도 향상을 위하여 1,280×720 해상도 적용하고 30fps로 영상을 출력하며 180°이상의 광각 어안렌즈를 적용하는 것이 가능도록 한다.

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Spatiotemporal Patched Frames for Human Abnormal Behavior Classification in Low-Light Environment (저조도 환경 감시 영상에서 시공간 패치 프레임을 이용한 이상행동 분류)

  • Widia A. Samosir;Seong G. Kong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.634-636
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    • 2023
  • Surveillance systems play a pivotal role in ensuring the safety and security of various environments, including public spaces, critical infrastructure, and private properties. However, detecting abnormal human behavior in lowlight conditions is a critical yet challenging task due to the inherent limitations of visual data acquisition in such scenarios. This paper introduces a spatiotemporal framework designed to address the unique challenges posed by low-light environments, enhancing the accuracy and efficiency of human abnormality detection in surveillance camera systems. We proposed the pre-processing using lightweight exposure correction, patched frames pose estimation, and optical flow to extract the human behavior flow through t-seconds of frames. After that, we train the estimated-action-flow into autoencoder for abnormal behavior classification to get normal loss as metrics decision for normal/abnormal behavior.

A Survey on Vision-based Localization and Geo-Referencing Technology for Advanced Air Mobility (Advanced Air Mobility를 위한 영상 기반 위치 추정 및 Geo-Referencing 기술 동향)

  • U. Choi;D. Lee;H. Wi;I. Joo;I. Jang
    • Electronics and Telecommunications Trends
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    • v.39 no.4
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    • pp.1-9
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    • 2024
  • As Advanced Air Mobility (AAM) technologies evolve, ensuring accurate navigation and localization in complex urban airspaces has become crucial. Because the Global Navigation Satellite System (GNSS) is prone to vulnerabilities in urban flight environment, an alternative localization technique is required. This paper examines vision-based localization technologies to enhance GNSS-free navigation. In addition, we explore various geo-referencing studies that utilize pre-existing spatial databases to improve the accuracy of vision-based localization under GNSS-denied conditions. This paper discusses the various types of onboard vision camera sensors, vision-based localization, spatial information databases, feature extraction methods, and matching techniques that contribute to the development of a vision-based localization and geo-referencing system for AAM, ensuring safety and reliability in urban operations.

The Safety Assessment of Fire needling (화침의 안전성 평가에 관한 고찰)

  • Yeon, Sun-Hee;Lee, Sae-Bhom;Kwon, O-Sang;Cho, Seong-Jin;Choi, Kwang-Ho;Lee, Sang-Hun;Choi, Sun-Mi;Ryu, Yeon-Hee
    • Korean Journal of Oriental Medicine
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    • v.18 no.3
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    • pp.103-110
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    • 2012
  • Objectives : Fire needling has been applied as the treatment for various diseases and been getting much attention from Oriental medicine due to its excellent effectiveness as the results of clinical studies have reported. However, the research findings on the safety of treatment method, materials for the Fire needling needle materials and the possibility of burn injury during the procedure are still insufficient. Methods : A thermo imaging camera was used to confirm the temperature distribution on acupuncture needle and the treatment area during the fire needling therapy. Then the degree of thermal injury was observed by H&E stain and TUNEL assay. In addition, in order to assess the safety of acupuncture materials, we conducted MTT assay using a L6 cell line. Results : The average temperature of the skin surface was observed at $47{\sim}51^{\circ}C$ after classic fire needling and $30^{\circ}C$ after warming fire needling. Warming fire needling therapy does not induce a burn on the tissue and a third degree burn was observed locally in the muscle and skin layers after classic fire needling treatment. This confirms that hwa-acupuncture therapies do not cause major burns. According to the safety assessment test result, no cytotoxicity was detected in the warming fire needling materials. This confirms the safety of the acupuncture materials Conclusions : Various research results on the biological safety of fire needling. Since fire needling therapy induces a burn locally without leaving any scar, and as other results indicate, it is considered a safe treatment method.