• Title/Summary/Keyword: lighting condition

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A study on Media Characteristics of Stage Space in Middle Age and Renaissance Theater (중세(中世)와 르네상스 극장(劇場) 무대공간(舞臺空間)의 미디어적 특성에 관한 연구)

  • Kim, Sung-Kee;Park, Eun-Kon
    • Journal of architectural history
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    • v.15 no.1 s.45
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    • pp.61-76
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    • 2006
  • The stage is ceremonial and legendary space unlike the ordinary world. Performance is not simply scrip-staged, but spatial art based on tempo that transmits extreme condition. The stage art is a visual art combined with stage settings, lighting, customs and the like. I exemplify the stage of Middle Age and Renaissance in the history of the art of public performance and so I review that what meditative functions each stage perform and that as what pattern of media it can be conceptualized. In this thesis, I divide the places of public performance Into the spaces of proscenium and polygon and also set up the concepts of hot and cool that McLuhan presents for each space. So, the degree of participation could be different according to the distinction of quantity of information, which is communication following the patterns of spaces. The basis of public performance might be the communication between co-actors and audiences. Since the sense of the art of public performance is the art in the process of establishing the meaning based on the communication with co-actors, it is not a confirmed and fixed one, but rather a reflexive one that can be created and changed continuously. Therefore, audiences should be regarded as the subjects, who are making the art of public performance with co-actors.

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Multi Modal Sensor Training Dataset for the Robust Object Detection and Tracking in Outdoor Surveillance (MMO (Multi Modal Outdoor) Dataset) (실외 경비 환경에서 강인한 객체 검출 및 추적을 위한 실외 멀티 모달 센서 기반 학습용 데이터베이스 구축)

  • Noh, DongKi;Yang, Wonkeun;Uhm, Teayoung;Lee, Jaekwang;Kim, Hyoung-Rock;Baek, SeungMin
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.1006-1018
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    • 2020
  • Dataset is getting more import to develop a learning based algorithm. Quality of the algorithm definitely depends on dataset. So we introduce new dataset over 200 thousands images which are fully labeled multi modal sensor data. Proposed dataset was designed and constructed for researchers who want to develop detection, tracking, and action classification in outdoor environment for surveillance scenarios. The dataset includes various images and multi modal sensor data under different weather and lighting condition. Therefor, we hope it will be very helpful to develop more robust algorithm for systems equipped with difference kinds of sensors in outdoor application. Case studies with the proposed dataset are also discussed in this paper.

Real-Time Camera Tracking for Markerless Augmented Reality (마커 없는 증강현실을 위한 실시간 카메라 추적)

  • Oh, Ju-Hyun;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.16 no.4
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    • pp.614-623
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    • 2011
  • We propose a real-time tracking algorithm for an augmented reality (AR) system for TV broadcasting. The tracking is initialized by detecting the object with the SURF algorithm. A multi-scale approach is used for the stable real-time camera tracking. Normalized cross correlation (NCC) is used to find the patch correspondences, to cope with the unknown and changing lighting condition. Since a zooming camera is used, the focal length should be estimated online. Experimental results show that the focal length of the camera is properly estimated with the proposed online calibration procedure.

Punching Position Control by Vision System (비전을 이용한 펀칭위치 제어 시스템)

  • 이성철;이영춘;심기중
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.981-984
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    • 2004
  • This paper is about the development of Automatic FPC punching instrument. FPC(flexible printed circuit) is used to detect the contact position of K/B and button like a cellular phone. Depending on the quality of the printed ink and position of reference punching point to the FPC, the resistance and current are varied to the malfunctioning values. The size of reference punching point is 2mm and the above. Because the punching operation is done manually, the accuracy of the punching degree is varied with operator's condition. Recently, The punching accuracy has deteriorated severely to the 2mm punching reference hall so that assembly of the K/B has hardly done. To improve this manual punching operation to the FPC, automatic FPC punching system is introduced. Precise mechanical parts like a 5-step stepping motor and ball screw mechanism are designed and tested and low cost PC camera is used for the sake of cost down instead of using high quality vision systems for the FA. Test algorithm shows good results to the designed automatic punching system.

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Development of an Energy Management Algorithm for Smart Energy House (스마트에너지하우스 구현을 위한 에너지 수요관리 알고리즘의 개발)

  • Jeon, Jeong-Pyo;Kim, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.3
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    • pp.515-524
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    • 2010
  • Recently, many actions are taking to accelerate progress toward social consensus and implementation of Smart Grid. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. The most distinguished element will be Advanced Metering Infrastructure (AMI) that will be installed to every end-use consumer's home or building and optimize the energy consumption of the end-use consumer. The key function of AMI is energy management capability that coordinates and optimally controls the various loads according to the operating condition and environments. In this study, we figure out the basic function of AMI in Smart Energy House that can be defined as a model house implementing in Smart Grid. This paper proposes the energy management algorithm that will be implemented in AMI at Smart Energy House. The paper also show how energy saving in Smart Energy House can be achieved applying the proposed algorithm to an actual house model that has mainly lighting, air-conditioning, TV loads.

The MPPT Control of Photovoltaic System using the Fuzzy PI Controller (퍼지 PI 제어기를 이용한 태양광 발전시스템의 MPPT 제어)

  • Ko, Jae-Sub;Chung, Dong-Hwa
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.2
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    • pp.9-18
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    • 2014
  • This paper proposes the fuzzy PI controller for maximum power point tracking(MPPT) control of photovoltaic system. The output characteristics of the solar cell are a nonlinear and affected by a temperature, the solar radiation. The MPPT control is a very important technique in order to increase an output and efficiency of the photovoltaic system. The conventional perturbation and observation(PO) and incremental conductance(IC) are the method which finding maximum power point(MPP) by the continued self-excitation vibration, and uses the fixed step size. If the fixed step size is a large, the tracking speed of maximum power point is faster, but the tracking accuracy in the steady state is decreased. On the contrary, when the fixed step size is a small, the tracking accuracy is increased and the tracking speed is slower. Therefore, this paper proposes the MPPT control using the fuzzy PI controller that can be improve a MPPT control performance. The fuzzy PI controller is adjusted a input of PI controller by fuzzy control and compensated a cumulative error of fuzzy control by PI controller. The fuzzy PI MPPT control is compared to conventional PO and IC MPPT method for various temperature and radiation condition. This paper proves the validity of the fuzzy PI controller using these results.

A Robust Face Detection Method Based on Skin Color and Edges

  • Ghimire, Deepak;Lee, Joonwhoan
    • Journal of Information Processing Systems
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    • v.9 no.1
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    • pp.141-156
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    • 2013
  • In this paper we propose a method to detect human faces in color images. Many existing systems use a window-based classifier that scans the entire image for the presence of the human face and such systems suffers from scale variation, pose variation, illumination changes, etc. Here, we propose a lighting insensitive face detection method based upon the edge and skin tone information of the input color image. First, image enhancement is performed, especially if the image is acquired from an unconstrained illumination condition. Next, skin segmentation in YCbCr and RGB space is conducted. The result of skin segmentation is refined using the skin tone percentage index method. The edges of the input image are combined with the skin tone image to separate all non-face regions from candidate faces. Candidate verification using primitive shape features of the face is applied to decide which of the candidate regions corresponds to a face. The advantage of the proposed method is that it can detect faces that are of different sizes, in different poses, and that are making different expressions under unconstrained illumination conditions.

Mesoscale Features and Forecasting Guidance of Heavy Rain Types over the Korean Peninsula (한반도 호우유형의 중규모 특성 및 예보 가이던스)

  • Kim, Sunyoung;Song, Hwan-Jin;Lee, Hyesook
    • Atmosphere
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    • v.29 no.4
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    • pp.463-480
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    • 2019
  • This study classified heavy rain types from K-means clustering for the hourly relationship between rainfall intensity and cloud top height over the Korean peninsula, and then examined their statistical characteristics for the period of June~August 2013~2018. Total rainfall amount of warm-type events was 2.65 times larger than that of the cold-type, whereas the lightning frequency divided by total rainfall for the warm-type was only 46% of the cold-type. Typical cold-type cases exhibited high cloud top height around 16 km, large reflectivity in the upper layer, and frequent lightning flashes under convectively unstable condition. Phenomenally, the cold-type cases corresponded to cloud cluster or multi-cell thunderstorms. However, two warm-type cases related to Changma and typhoon were characterized by heavy rainfall due to long duration, relatively low cloud top height and upper-level reflectivity, and the absence of lightning under the convectively neutral and extremely humid conditions. This study further confirmed that the forecast skill of rainfall could be improved by applying correction factor with the overestimation for cold-type and underestimation for warm-type cases in the Local Data Assimilation and Prediction System (LDAPS) operational model (e.g., BIAS score was improved by 5%).

A study on deformation of LSR injection moldings having the runners with same flow distance (동일 유동거리 런너를 가진 LSR 성형품의 변형에 관한 연구)

  • Park, Jeong-Yeon;Yoon, Gil-Sang;Lee, Jeong-Won;Choi, Jong Myeong
    • Design & Manufacturing
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    • v.7 no.1
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    • pp.60-63
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    • 2013
  • Recently, Silicone that one of the thermo-sets is used to making optical products such as LED lenses because of excellent thermal properties. LED lenses are required to keep the precise dimensions, so they must be molded to have the minimum deformation. Thermo-sets have the expansion characteristic on the part of thermal property, it is important to optimize the cure condition so that the deformation of the part become minimum. In this study, to investigate the relationship between the shrinkage by the curing and expansion by the thermal properties of the resin, reactive injection experiment was performed by setting the variables such as mold setting temperature, cure time. As a result, it was confirmed that there was a interval while the thermal properties were transferred to more active during the cure process. It is expected to help in determining the reactive injection molding conditions of the thermo-set parts as well as LED lens in order to reduce the amount of deformation.

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Omni-directional Image Generation Algorithm with Parametric Image Compensation (변수화된 영상 보정을 통한 전방향 영상 생성 방법)

  • Kim, Yu-Na;Sim, Dong-Gyu
    • Journal of Broadcast Engineering
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    • v.11 no.4 s.33
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    • pp.396-406
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    • 2006
  • This paper proposes an omni-directional image generation algorithm with parametric image compensation. The algorithm generates an omni-directional image by transforming each planar image to the spherical image on spherical coordinate. Parametric image compensation method is presented in order to compensate vignetting and illumination distortions caused by properties of a camera system and lighting condition. The proposed algorithm can generates realistic and seamless omni-directional video and synthesize any point of view from the stitched omni-directional image on the spherical image. Experimental results show that the proposed omni-directional system with vignetting and illumination compensation is approximately $1{\sim}4dB$ better than that which does not consider the said effects.