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김진민 ( Kim Jin-min ),박선치 ( Park Seon-chee ),홍원기 ( Hong Won-kee ),김희철 ( Kim Hee-cheul ),이호찬 ( Lee Ho-chan ) 한국구조물진단유지관리공학회 2007 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.11 No.2
Environmental issues are concerned growingly in internal and external, therefore decreasing the volume of concrete form and increasing the recycling rate shall be materialized. In addition, the volume of support necessary for formwork shall also be reduced. In general, recycling rate of Euro form, a standardized plywood form, is expected to be reused up to 5 times. The study was intended to secure the semi-permanent recycling rate, using GFRP form, as well as to reduce the support accordingly. In the study, a factory-fabricated form was used for producing the full-sized beam, and the test for hanging the GFRP channel using wire was conducted. As GFRP is light-weight, it required fewer workforce than wooden form or standardized Euro form, and easy and simple form erection enabled to significantly reduce both the construction period and cost. And it’s an environment-friendly erection and removal method to prevent the construction wastes. The study was also aimed at evaluating the hanging method designed to minimize the supports in an attempt to reduce the use of temporary material such as wooden form and Euro form as well as to secure the work space. Therefore, the improvement leaded from the problem occurred in the process of concrete pouring and demolding was suggested.
공간다중화 MIMO 시스템을 위한 Soft Output 성능향상 기법
김진민(Jin-Min Kim),임태호(Tae-Ho Im),김재권(Jae-Kwon Kim),이주현(Joo-Hyun Yi),조용수(Yong Soo Cho) 한국통신학회 2008 韓國通信學會論文誌 Vol.33 No.9C
무선통신 채널에서 높은 전송 속도를 가능하게 하는 공간다중화 MIMO 시스템에서 다중화된 신호를 검출하는 것은 어려운 작업이며, 최근 다양한 신호검출 기법들이 개발되었다. 다양한 신호검출기법중 maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD), sphere decoding (SD), QOC, MOC와 같은 기법들은 maximum liklihood (ML)기법과 유사한 경판정 달성한다. 그러나 일반적으로 이러한 기법들은 soft output의 신뢰도가 저하되는 문제점을 가진다. 본 논문에서는 기존 신호검출기법들의 soft output 신뢰도를 향상시키는 기법을 제안한다. 모의실험을 통하여 기존의 기법들과 결합시 제안된 방법에 의해 개선된 성능을 얻을 수 있음을 보인다. In spatially multiplexed MIMO systems that enable high data rate transmission over wireless communication channels, the spatial demultiplexing at the receiver is a challenging task, and various demultiplexing methods have been developed. Among the previous methods, maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD), sphere decoding (SD), QOC, and MOC schemes have been reported to achieve a (near) maximum likelihood (ML) hard decision performance. In general, however, the reliability of soft output of these schemes is not satisfactory. In this paper, we propose a method which enhances the reliability of soft output. By computer simulations, we demonstrate the improved performance by the proposed method.