• Title/Summary/Keyword: Visual Monitoring System

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Construction Management System using Mobile Augmented Reality (건설 공정 모니터링을 위한 모바일 증강현실 시스템)

  • Lee, Seok-Han
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.977-982
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    • 2017
  • In this paper, we propose an AR system which enables monitoring and managing of the operation process of the construction site. In case of the conventional construction managing system, a worker takes several images of the construction site and sends them directly to the supervisory headquarter, which manages the progress of the construction process and checks weather the construction is achieved according to the architectural design or not. Due to the nature of the offline process, the conventional management system has time and monetary constraints, and there exists a disadvantage that it is impossible to make quick decision-making and real-time communication with the work site. In order to minimize these disadvantages, we proposes an AR real-time construction monitoring/management system. In particular, we aim to developed a system based on mobile device so that it can maximize usability. The efficiency of the proposed system is verified through several experiments and implementation results.

Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure (구조물의 안전성 모니터링을 위한 통계/확률기반 적응형 임계치 설정 알고리즘 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.1-8
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    • 2016
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

Multi-Camera Vision System for Tele-Robotics

  • Park, Changhwn;Kohtaro Ohba;Park, Kyihwan;Sayaka Odano;Hisayaki Sasaki;Nakyoung Chong;Tetsuo Kotoku;Kazuo Tanie
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.25.6-25
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    • 2001
  • A new monitoring system is proposed to give direct visual information of the remote site when working with a tele-operation system. In order to have a similar behavior of a human when he is inspecting an object, multiple cameras that have different view point are attached around the robot hand and are switched on and elf according to the operator´s motion such as joystick manipulation or operator´s head movement. The performance of the system is estimated by performing comparison experiments among single camera (SC) vision system, head mount display (HMD)system and proposed multiple camera (MC) vision system by applying a task to several examines. The reality, depth feeling and controllability are estimated for the examines ...

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Real-Time Surveillance of People on an Embedded DSP-Platform

  • Qiao, Qifeng;Peng, Yu;Zhang, Dali
    • Journal of Ubiquitous Convergence Technology
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    • v.1 no.1
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    • pp.3-8
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    • 2007
  • This paper presents a set of techniques used in a real-time visual surveillance system. The system is implemented on a low-cost embedded DSP platform that is designed to work with stationary video sources. It consists of detection, a tracking and a classification module. The detector uses a statistical method to establish the background model and extract the foreground pixels. These pixels are grouped into blobs which are classified into single person, people in a group and other objects by the dynamic periodicity analysis. The tracking module uses mean shift algorithm to locate the target position. The system aims to control the human density in the surveilled scene and detect what happens abnormally. The major advantage of this system is the real-time capability and it only requires a video stream without other additional sensors. We evaluate the system in the real application, for example monitoring the subway entrance and the building hall, and the results prove the system's superior performance.

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The estimation of tool wear and fracture mechanism using sensor fusion in micro-machining (미세형상가공시 센서융합을 이용한 공구 마멸 및 파손 메커니즘 검출)

  • 임정숙;왕덕현;김원일;이윤경
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.04a
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    • pp.245-250
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    • 2002
  • A successful on-line monitoring system for conventional machining operations has the potential to reduce cost, guarantee consistency of product quality, improve productivity and provide a safer environment for the operator. In fee-shape machining, typical signs of tool problems such as vibration, noise, chip flow characteristics and visual signs are almost unnoticeable without the use of special equipment. These characteristics increase the importance of automatic monitoring in fine-shape machining; however, sensing and interpretation of signals are more complex. In addition, the shafts of the micro-tools break before the typical extensive cutting edge of the tool gets damaged. In this study, the existence of a relationship between the characteristics of the cutting force and tool usage was investigated, and tool breakage detection algorithm was developed and the fellowing results are obtained. In data analysis, didn't use a relative error compare which mainly used in established experiment and investigated tool breakage detection algorithm in time domain which can detect AE and cutting force signals more effective and accurate.

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The Abnormal Condition Monitoring of Rotary Compressor using Acoustic Emission (AE 신호를 이용한 회전형 압축기의 이상상태 감시)

  • Lee Kam-Gyu;Jung Ji-Hong;Kim Jeon-Ha;Kang Myung-Chang;Kim Jeong-Suk
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.5
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    • pp.118-123
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    • 2004
  • The compressor has one of important roles in refrigeration cycle and it determines refrigeration efficiency and quality This paper aims to monitor rotary compressors for room air conditioners by using Acoustic Emission(AE) technique. The reliability of rotary compressors has been evaluated through visual inspection on them after long term test. This paper describes methods for acquisition and processing AE raw signal to monitor the state of rotary compressor. A detecting method of abnormal compressor in real time is suggested and special-purpose monitoring system which can be applied to automatic manufacturing line is developed using one-chip microprocessor at low cost.

Process Monitoring in Laser Beam Cutting by Photo Diode (레이저 절단에서 광소자를 이용한 가공공정 모니터링)

  • 김봉채;장욱진;김재도
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.354-359
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    • 1994
  • On-line process control equipment for CO $_{2}$ laser cutting is unavailable for industrial application. The major part of the industrial cutting machines are regulated off-line by highly educated engineers. The quality inspection of the sample is visual and referred to different quality scales. Due to lack of automation potential laser users hesitate to implement the cutting method. The first step toward an automation of the process is development of a process monitoring system and the research is concentrated on the area of on-line quality detection during CO $_{2}$ laser cutting. The method bases on the detection of the emitted light from the cut front by photo diode. the signal from photo diode has been undertaken from Fourier analysis and statistical analysis. As a result, it is possible to estimate striation pattern according to beam travel speed.

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An HMM-Based Segmentation Method for Traffic Monitoring (HMM 분할에 기반한 교통모니터링)

  • 남기환;배철수;정주병;나상동
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.587-590
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    • 2004
  • In this paper proposed a HMM(Hidden Martov Model)-based segmentation method which is able to model shadows as well as foreground and background regions. Shadow of moving objects often obstruct visual tracking. We propose an HMM-based segmentation method which classifies in real time oath objects. In the case of traffic monitoring movies, the effectiveness of the proposed method has been proven through experimental results

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Development of a Distributed Computing Framework far Implementing Multidisciplinary Design Optimization (다분야통합최적설계를 지원하는 분산환경 기반의 설계 프레임워크 개발)

  • Chu M. S.;Lee S. J.;Choi D.-H.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.2
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    • pp.143-150
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    • 2005
  • A design framework to employ the multidisciplinary design optimization technologies on a computer system has been developed and is named as the Extensible Multidisciplinary Design Integration and Optimization System (EMDIOS). The framework can not only effectively solve complex system design problems but also conveniently handle MDO problems. Since the EMDIOS exploits both state-of-the-art of computing capabilities and sophisticated optimization techniques, it can overcome many scalability and complexity problems. It can make users who are not even familiar with the optimization technology use EMDIOS easily to solve their design problems. The client of EMDIOS provides a front end for engineers to communicate the EMDIOS engine and the server controls and manages various resources luck as scheduler, analysis codes, and user interfaces. EMDIOS client supports data monitoring, design problem definition, request for analyses and other user tasks. Three main components of the EMDIOS are the Engineering Design Object Model which is a basic idea to construct EMDIOS, EMDIOS Language (EMDIO-L) which is a script language representing design problems, and visual modeling tools which can help engineers define design problems using graphical user interface. Several example problems are solved and EMDIOS has shown various capabilities such as ease of use, process integration, and optimization monitoring.

Evaluation of grout penetration in single rock fracture using electrical resistivity

  • Lee, Hangbok;Oh, Tae-Min;Lee, Jong-Won
    • Geomechanics and Engineering
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    • v.24 no.1
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    • pp.1-14
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    • 2021
  • In this study, a new approach using electrical resistivity measurement was proposed to detect grout penetration and to evaluate the grouting performance for such as waterproof efficiency in single rock fracture. For this purpose, an electrical resistivity monitoring system was designed to collect multi-channel data in real time. This was applied to a system for grout injection/penetration using a transparent fracture replica with various aperture sizes and water-cement mix ratio. The electrical resistivity was measured under various grout penetration conditions in real time, which results were directly compared to the visual observation images of grout penetration/distribution. Moreover, the grouting success status after the curing process was evaluated by measuring the electrical resistivity in relation to changes in frequency in fracture cells where grout injection and penetration were completed. Consequently, it was determined that the electrical resistivity monitoring system could be applied effectively to the detection of successful penetration of grouting into a target area and to actual field evaluation of the grouting performance and long-term stability of underground rock structures.