Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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The Effect of Disaster Prevention of Industrial Field and Failure Detection of Very Small Components for IT

IT용 초소형부품의 불량검출과 산업현장의 재해방지 효과

  • Park, Dea-Young (Life and Industrial convergence Research Institute) ;
  • Jeong, Yang Guen (SHILLA Information Technology Co., Ltd.) ;
  • Choi, Sun Mi (Dept. of Bio-industrial Mechanical Engineering in Busan National University) ;
  • Byun, Jea Young (Dept. of Bio-industrial Mechanical Engineering in Busan National University) ;
  • Choi, Won-Sik (Dept. of Bio-industrial Mechanical Engineering in Busan National University)
  • 박대영 (부산대학교 생명산업융합연구원) ;
  • 정양근 ((주)신라정보기술) ;
  • 최선미 (부산대학교 바이오산업기계공학과) ;
  • 변재영 (부산대학교 바이오산업기계공학과) ;
  • 최원식 (부산대학교 바이오산업기계공학과)
  • Received : 2015.01.05
  • Accepted : 2015.01.28
  • Published : 2015.02.28
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Abstract

This paper presents a feasibility study of a fresh air load reduction system by using an underground double floor space. The system was introduced into a real building and was examined by the field measurement. Judging from the measurements during three years(1999~2001), the state of the system operation was very stable through this period and it was clear that the system contributes to reduction of energy consumption for air-conditioning. Futhermore, a simulation model used the simple heat diffusion equation was developed to simulate its thermal characteristics and performances. The simulations resulted in air temperature in good agreement with the measurements. Also, from the result of numerical analysis, it is clear that the amount of heat supply by using this system is more than the amount of energy loss to the room above it. Therefore, it is concluded that this systems is very useful and the proposed numerical model can be used for the prediction of system thermal performance.

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References

  1. Yang-Weon Lee, "A Study on the Gesture Recognition Based on the Particle filter Using CONDENSATION Algorithm", The journal of the Korea Institute of Maritime Information & Communication Sciences, Vol. 11, No. 3, pp.584-591, 2007
  2. Se-Jin, Kim, Young-Hoon, Joo, "Mobile Object Tracking Algorithm Using Particle filter", Journal of Korean institute of intelligent systems, Vol. 19, No. 4, pp.586-591, 2009 https://doi.org/10.5391/JKIIS.2009.19.4.586
  3. D. Kekrt, M. Klima, K. Fliegel, "Restoration of Dichromatic Image Gained from CCD/CMOS Camera by Iterative Detection networks with Fragmented Marginalization at the Symbol Block Level" Proc. of SPIE, the international society for optical engineering, Vol. 7444, pp.74441A, 2009
  4. R. T. Collins, A. J. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, "A System for Video Surveillance and Monitoring", Technical report CMU-RI-TR-00-12, Robotics Institude, Carnegie Mellon University, 2000
  5. Ju-yeong Son, "Image Interpolation Methods using Edges Detected from the Expanded Binary Image", 한양대학교 석사학위논문, pp.7-10, 2009
  6. Houng-Sik. Joo, Byung-Sun. Lee, Eun-Joo. Rhee, "The Target Count Algorithm using Difference Image and Color Information", 한국정보기술응용학회 춘계학술대회 디지털컨버젼스와 경영혁신, pp.83, 2004
  7. IL-sick Jang, "A Study on Object Tracking System Using Multiple PTZ Cameras", 서울과학기술대학교 석사학위논문, pp. 10-12, 2011
  8. Kyoung-ah Shin, "Counting the Number of Vehicles and Parking Area Detection by Morphology and Histogram Analysis", 한밭대학교 학위논문, pp.13-15, 2007
  9. R. E. Kalman, "A New Approach to Linear filtering and Prediction Problems", Transaction of the ASME-Journal of Basic Engineering, pp. 35-45, 1960
  10. Hyun-Su, Hong, Chan Gook Park, Jang-Gyu, Lee, "An Extended Kalman filter Robust to Linearization Error", Journal of Control, Automation, and Systems Engineering, Vol. 12, No, 2, pp.93-100, 2006 https://doi.org/10.5302/J.ICROS.2006.12.2.093
  11. Seok-kwon, Kim, Seung-Ri, Jin, Jae-Won, Son, Dong-Jo, Park, "filtering Algorithms for Position Evaluation and Tracking of Tactical Objects", 한국시뮬레이션학회 논문지, Vol. 19, No.4, pp.199-208, 2010
  12. G. A. Terejanu, "Unscented Kalman filter Tutorial", University at Buffalo, Buffalo, NY, Tech. Rep, 2010
  13. A-rom, Hwang, Woo-jae, Seong, Bong-Huan, Jun, Pan-Mook, Lee, "Experiments of Unmanned Underwater Vehicle's 3 Degrees of Freedom Motion Applied the SLAM based on the Unscented Kalman filter", Journal of ocean engineering and technology, Vol. 23, No. 2, pp.58-68, 2009
  14. Ki-Tae, Kim, "Improvement of Robot Localization Using the Unscented Kalman filter", 인하대학교 학위논문, pp.37-41, 2010
  15. Ba-Ngu Vo, Sumeetpal S. Singh, Arnaud Doucet, "Sequential monte carlo methods for multi-target filtering with random finite sets," to appear in IEEE Aerospace and Electronic Systems
  16. David J. C. MacKay, "Information Theory, Inference and Learning Algorithms-Bayesian Inference and Sampling Theory", University of Cambridge, pp.457-466, 2003
  17. JJun-yeong, Kwak, Yeong-do, Ju, Byung-chul, Ko, Jae-yeol, Nam, ", 영상처리 및 이해에 관한 워크샵, Vol. 24, pp.1-4, 2012
  18. Jun, Moon, "Design of the Target Estimation filter based on Particle filter Algorithm for the Multi-Function Radar", Journal of the KIMST, Vol.14, No. 3, pp.517-523, 2011
  19. N. J. Gordon, D. J. Salmond, and A. F. M. Smith,"Novel Approach to Nonlinear/Non-G aussian Bayesian State Estimation", IEE-Proceedings-F 140, pp. 107-113, 1993.
  20. Arnaud Doucet, Simon Godsill, and Chirstophe Andreiu, "On Sequential Monte Carlo Sampling Methods for Bayesian filtering" Statistics and Computing, 10, 197-208, 2000. https://doi.org/10.1023/A:1008935410038
  21. Rudolph Van Der Merwe and Arnaud Doucet, "The Unscend Particle filter" Technical Report, Cambridge University, 2000.
  22. M. Sanjeev Arulampalam, Simon Maskell, Neil
  23. Gordon, and Tim Clapp, " Tutorial on Particle filters for Online Nonlinear/Non - Gaussian Bayesian Tracking", IEEE Transactions oignal Processing, Vol. 50, No. 2, 2002