http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김진호,정영헌,조기철,이협희,오광중 부산대학교 환경문제연구소 1998 環境硏究報 Vol.16 No.-
Pyrolysis system will plat a big role on the resource recovery of wastes without secondary pollution problems comparing usual incineration system. Pyrolysis experiments of municipal solid wastes was conducted and the results are as follows. 1) From tile compression test before the pyrolysis, moisture removal was observed from 70% compression and the variation of the removed moisture amount was detected until 80% compression. Over the 80% compression, there was no change. 2) Non-isothermal pyrolysis reaction constant was found out through the experiment. When the increasing rate of temperature varied from 20 to 40 K/min, the activation energy of cellulose and plastic were 100~160 KJ/mol and 192~239KJ/mo1, respectively. The order of reaction was on the range of 1.2~1.8. As the increasing rate of temperature increased, the activation energy was decreased.
Real-time small target detection method Using multiple filters and IPP Libraries in Infrared Images
Chul Joong Kim(김철중),Jae Hyup Kim(김재협),Kyung Hyun Jang(장경현) 한국컴퓨터정보학회 2016 韓國컴퓨터情報學會論文誌 Vol.21 No.8
In this paper, we propose a fast small target detection method using multiple filters, and describe system implementation using IPP libraries. To detect small targets in Infra-Red images, it is mandatory that you should apply a filter to eliminate a background and identify the target information. Moreover, by using a suitable algorithm for the environments and characteristics of the target, the filter must remove the background information while maintaining the target information as possible. For this reason, in the proposed method we have detected small targets by applying multi area(spatial) filters in a low luminous environment. In order to apply the multi spatial filters, the computation time can be increased exponentially in case of the sequential operation. To build this algorithm in real-time systems, we have applied IPP library to secure a software optimization and reduce the computation time. As a result of applying real environments, we have confirmed a detection rate more than 90%, also the computation time of the proposed algorithm have been improved about 90% than a typical sequential computation time.