• Title/Summary/Keyword: Illumination system

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Illumination improvement for Adaptable Operation of Security System (보안시스템의 적정운영을 위한 합리적 조도개선)

  • Go, Young-Il;Oh, Seong-Bo;Kim, Eel-Hwan;Kim, Se-Ho;Ko, Bong-Woon
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2009.05a
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    • pp.179-181
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    • 2009
  • 보안구역의 외곽울타리지역의 경비체제를 인적경비에서 과학화경비로 전환함에 따라 CCTV 카메라 및 모니터 기능이 보다 향상되고 있는 반면에 이에 따른 조명설비의 중요성이 인식되었다. 그러므로 본 논문에서는 보안구역 내 과학화된 보안시스템에 적합한 조명개선을 위하여 기존 시설된 고압나트륨과 시범 설치된 LED 광원 및 조명등주의 위치를 변경하면서 조도를 실측하였다. 또한 CCTV 감시 화면의 특성을 고려하여 정확한 물체를 확인 할 수 있는 명암을 유지하기 위한 조명 값을 구하기 위하여 시뮬레이션을 실시하여 조도 개선안을 제시하고자 한다.

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Using Kalman Filtering and Segmentation Techniques to Capture and Detect Cracks in Pavement

  • Hsu, C.J.;Chen, C.F.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.930-932
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    • 2003
  • For this study we used a CCD video camera to capture the pavement image information via the computer. During investigation processing, the CCD video camera captured 10${\sim}$30 images per second. If the vehicle velocity is too fast, the collected images will be duplicated and if the velocity is too slow there will be a gapped between images. Therefore, in order to control the efficiency of the image grabber we should add accessory tools such as the Differential Global Positioning System (DGPS) and odometer. Furthermore, Kalman Filtering can also solve these problems. After the CCD video camera captured the pavement images, we used the Least-Squares method to eliminate images of gradation which have non-uniform surfaces due to the illumination at night. The Fuzzy Entropy method calculates images of threshold segments and creates binary images. Finally, the Object Labeling algorithm finds objects that are cracks or noises from the binary image based on volume pixels of the object. We used these algorithms and tested them, also providing some discussion and suggestions.

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Micromorph Schottky Silicon Solar Cells

  • Kim, Joon-Dong;Han, Chang-Soo;Yun, Ju-Hyung;Yi, Jun-Sin;Park, Yun-Chang
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.02a
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    • pp.130-130
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    • 2010
  • Thin Si films were grown by a plasma-enhanced chemical vapor deposition (PECVD, SNTEK, Korea) system. Two different deposition condition were applied and formed a fully amorphous Si (a-Si) film and a micromorph mixing of microcrystalline Si (mc-Si) and a-Si film. Under one sun illumination, the micromorph device provided the enhanced open circuit voltage and fill factor values. It presents the fabrication of the micromorph Si film and the a-Si film by modulating a deposition condition. The performances of the Si thin film Schottky solar cells are discussed.

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A study on the long-term stability of dye-sensitized solar cells with different electrolyte systems

  • Bang, So-Yeon;Gang, Tae-Yeon;Lee, Do-Gwon;Kim, Gyeong-Gon;Go, Min-Jae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.02a
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    • pp.320-320
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    • 2010
  • The dye-sensitized solar cells (DSSCs) have achieved so far the highest validated efficiency over 11%. However, the cells with the best performance utilize volatile solvent as a electrolyte, which can cause some practical limitations for the long-term operation. This is one of the most substantial problems to be resolved for the commercialization of DSSCs. In order to improve the long-term stability, many research groups have reported new electrolyte system, to replace the liquid type electrolyte by non-volatile ones. In this work, we studied long-term stability of the DSSCs with various types of electrolytes such as (PVDF HFP) based polymer, eutectic melts of ionic liquids, and liquid based solvent. The cells with various electrolytes have been exposed to the condition under thermal stress and illumination over 1000 hours. We will report the change of photovoltaic properties with time and investigate the degradation mechanism with the impedance spectroscopic analysis.

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Efficient 3D Model based Face Representation and Recognition Algorithmusing Pixel-to-Vertex Map (PVM)

  • Jeong, Kang-Hun;Moon, Hyeon-Joon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.1
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    • pp.228-246
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    • 2011
  • A 3D model based approach for a face representation and recognition algorithm has been investigated as a robust solution for pose and illumination variation. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time and complexity. In this paper, we propose a novel 3D face representation algorithm based on a pixel to vertex map (PVM) to optimize the number of vertices. We explore shape and texture coefficient vectors of the 3D model by fitting it to an input face using inverse compositional image alignment (ICIA) to evaluate face recognition performance. Experimental results show that the proposed face representation and recognition algorithm is efficient in computation time while maintaining reasonable accuracy.

Stray Light Analysis of High Resolution Camera for a Low-Earth-Orbit Satellite

  • Park, Jun-Oh;Jang, Won-Kweon;Kim, Seong-Hui;Jang, Hong-Sul;Lee, Seung-Hoon
    • Journal of the Optical Society of Korea
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    • v.15 no.1
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    • pp.52-55
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    • 2011
  • We discuss the effect of stray light on a high-precision camera in an LEO(Low Earth Orbit) satellite. The critical objects and illumination objects were sorted to discover the stray light sources in the optical system. Scatter modeling was applied to determine a noise effect on the surface of a detector, and the relative flux of a signal and noise were also calculated. The stable range of reflectivity of the beam splitter was estimated for various scattering models.

SMD Detection and Classification Using YOLO Network Based on Robust Data Preprocessing and Augmentation Techniques

  • NDAYISHIMIYE, Fabrice;Lee, Joon Jae
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.211-220
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    • 2021
  • The process of inspecting SMDs on the PCB boards improves the product quality, performance and reduces frequent issues in this field. However, undesirable scenarios such as assembly failure and device breakdown can occur sometime during the assembly process and result in costly losses and time-consuming. The detection of these components with a model based on deep learning may be effective to reduce some errors during the inspection in the manufacturing process. In this paper, YOLO models were used due to their high speed and good accuracy in classification and target detection. A SMD detection and classification method using YOLO networks based on robust data preprocessing and augmentation techniques to deal with various types of variation such as illumination and geometric changes is proposed. For 9 different components of data provided from a PCB manufacturer company, the experiment results show that YOLOv4 is better with fast detection and classification than YOLOv3.

Analysis of CIELuv Color feature for the Segmentation of the Lip Region (입술영역 분할을 위한 CIELuv 칼라 특징 분석)

  • Kim, Jeong Yeop
    • Journal of Korea Multimedia Society
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    • v.22 no.1
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    • pp.27-34
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    • 2019
  • In this paper, a new type of lip feature is proposed as distance metric in CIELUV color system. The performance of the proposed feature was tested on face image database, Helen dataset from University of Illinois. The test processes consists of three steps. The first step is feature extraction and second step is principal component analysis for the optimal projection of a feature vector. The final step is Otsu's threshold for a two-class problem. The performance of the proposed feature was better than conventional features. Performance metrics for the evaluation are OverLap and Segmentation Error. Best performance for the proposed feature was OverLap of 65% and 59 % of segmentation error. Conventional methods shows 80~95% for OverLap and 5~15% of segmentation error usually. In conventional cases, the face database is well calibrated and adjusted with the same background and illumination for the scene. The Helen dataset used in this paper is not calibrated or adjusted at all. These images are gathered from internet and therefore, there are no calibration and adjustment.

Depth-profiling of skin in the near infrared using fiber optic probes

  • Woo, Young-Ah;Ahn, Jhii-Weon;Suh, Eun-Jung;Kim, Hyo-Jin
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.235.1-235.1
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    • 2002
  • In previous study, we showed the feasibility of the in vivo use of portable near infrared system for the determination of human skin moisture. In order to optimize the acquiring condition of NIR spectrum of skin. skin depth profiling was investigated changing the distance and gap size between illumination and receiving of radiation in the terminal of fiber probe. The colleted light information could be controlled depending the distance and gap of fiber optic probe. (omitted)

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Desktop-LED lighting for Eye Muscle Movement by Adjusting the Light Illuminance and Color Temperature

  • Kim, Byoung-Chul;Kim, Seon-Jong;Kim, Joo-Man
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.203-208
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    • 2020
  • In this paper, we propose the design and implementation of a desktop LED stand and smart app that automatically adjusts color temperature and illuminance for optimal brightness and eye health by improving the structural problem of the LED stand. It is a tabletop LED stand that supports optimal brightness through color temperature control and heat transfer through infrared LED to relieve eye strain through blood circulation and muscle movement. The LED stand works with the smartphone to automatically adjust the optimal brightness and color temperature for the user's environment. In addition, the brightness of the infrared LED is adjusted to a living frequency of 4Hz to relax the eye muscles and reduce eye strain. This study implemented an effective measured data-based system of previous studies through the color temperature and illumination of LED lighting, and near-infrared rays, and presented meaningful results by conducting an experiment to prove the effect through subjects.