• Title/Summary/Keyword: Modular Lighting

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Shifting and Automated Replacement of Lighting Devices for LED Stage Lighting (조명장치의 이동과 자동 교체가 가능한 LED 무대조명 시스템)

  • You, In-Hwan;Lee, Bo-Hee;Song, Hyun-Sun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.9
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    • pp.1-7
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    • 2011
  • A performance delivers the contents and feeling through human bodies and stage settings in the limited space of a stage. Among the stage settings, the lighting creates overall atmospheres effectively according to the situations of the performance such as a time flow, a change of seasons, an expression of the mental state of the performer. As the LED lighting is used more widely, the number and the size of the lighting is being decreased, which makes it possible for various devices to be used. However, just as conventional lighting devices, most of them are fixed. So it is difficult to use them at a blind spot and to replace them. To solve this problem, this article suggests a system which replaces lighting automatically and moves. As it can moved to a spot we want on a rail, and the lighting system can be replaced by itself, it can have various lighting effects, increasing the effectiveness of the performance. Additionally, it can also decrease the danger of a worker operating the lighting device located at a high place. At the mock-up experiment, its mobility and stability on a rail were tested using the wheel of the Modular Robot.

FERET DATA SET에서의 PCA와 ICA의 비교

  • Kim, Sung-Soo;Moon, Hyeon-Joon;Kim, Jaihie
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2355-2358
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    • 2003
  • The purpose of this paper is to investigate two major feature extraction techniques based on generic modular face recognition system. Detailed algorithms are described for principal component analysis (PCA) and independent component analysis (ICA). PCA and ICA ate statistical techniques for feature extraction and their incorporation into a face recognition system requires numerous design decisions. We explicitly state the design decisions by introducing a modular-based face recognition system since some of these decision are not documented in the literature. We explored different implementations of each module, and evaluate the statistical feature extraction algorithms based on the FERET performance evaluation protocol (the de facto standard method for evaluating face recognition algorithms). In this paper, we perform two experiments. In the first experiment, we report performance results on the FERET database based on PCA. In the second experiment, we examine performance variations based on ICA feature extraction algorithm. The experimental results are reported using four different categories of image sets including front, lighting, and duplicate images.

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A Study of the Development of a Modular, Lightweight Steel Ceiling System (유닛형 경량철골 천정시스템 개발에 관한 연구)

  • Kim, Hyeyeon;Bae, Sanghwan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.5
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    • pp.269-277
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    • 2017
  • This study consists of an analysis of pre-existing ceiling construction systems as well as the development of a replacement unitary, lightweight steel ceiling system and related legal standards. Based on the material conditions and progression of the study, appropriate components were chosen and details were modified by mock-up test. A final study model was evaluated for performance and adaptability based on four parameters (indoor environment, constructability, budget economy, and aesthetics) and compared to the pre-existing ceiling system. As a result of the initial study, a lightweight steel design was created consisting of a reinforced structure with modular bars and entry holes for components. This system was hung directly on the suspension structure. The new design increased lighting and acoustic performance adapted to an indoor environment. Moreover, the speed of construction was increased by approximately 30%, the cost was decreased by approximately 20%, and ceiling aesthetics were improved.

Modularization of Emergency Broadcasting and Lighting Considering Emergency Scenarios of Urban Railway Vehicle (도시철도차량의 비상 시나리오 분석을 통한 비상방송 및 비상조명의 모듈화 방안 연구)

  • Ohn, Jung-Ghun;No, Jee-Ho;Baek, Ji-Eun
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.299-307
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    • 2018
  • Automatic announcement systems and emergency lights are necessary to prevent urban railway vehicles from accident, according to the emergency response guideline of domestic railroad. When emergency situation occurs, safety regulations and standards for urban railway vehicles specify that the emergency lights must be turn-on over 30 minutes as well as that the announcement should be provided by an attendant. However, as the current emergency systems use different units without a standard and system maintenance and management is not well performed, it is difficult to know the operation status. In this paper, modularized structures are given to standardize the emergency systems. The modularized structures analyzed from emergency scenarios of railway can substitute the existing broadcasting and lighting system. As a result, the optimized modular system considering cost and maintenance can be proposed by comparing all modularizations.

Real-time Intelligent Exit Path Indicator Using BLE Beacon Enabled Emergency Exit Sign Controller

  • Jung, Joonseok;Kwon, Jongman;Jung, Soonho;Lee, Minwoo;Mariappan, Vinayagam;Cha, Jaesang
    • International journal of advanced smart convergence
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    • v.6 no.1
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    • pp.82-88
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    • 2017
  • Emergency lights and exit signs are an indispensable part of safety precautions for effective evacuation in case of emergency in public buildings. These emergency sign indicates safe escape routes and emergency doors, using an internationally recognizable sign. However visibility of those signs drops drastically in case of emergency situations like fire smoke, etc. and loss of visibility causes serious problems for safety evacuation. This paper propose a novel emergency light and exit sign built-in with Bluetooth Low Energy (BLE) Beacon to assist the emergency self-guiding evacuation using devices for crisis and emergency management to avoid panic condition inside the buildings. In this approach, the emergency light and exit sign with the BLE beacons deployed in the indoor environments and the smart devices detect their indoor positions, direction to move, and next exit sign position from beacon messages and interact with map server in the Internet / Intranet over the available LTE and/or Wi-Fi network connectivity. The map server generate an optimal emergency exit path according to the nearest emergency exit based on a novel graph generation method for less route computation for each smart device. All emergency exit path data interfaces among three system components, the emergency exit signs, map server, and smart devices, have been defined for modular implementation of our emergency evacuation system. The proposed exit sign experimental system has been deployed and evaluated in real-time building environment thoroughly and gives a good evidence that the modular design of the proposed exit sign system and a novel approach to compute emergency exit path route based on the BLE beacon message, map server, and smart devices is competitive and viable.