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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Studies on the resonant properties in the asymmetric dipole-array terahertz metamaterials 会议论文 Beijing, China, October 28, 2017 - October 30, 2017 作者:  Chen, Wei;  Zhou, Qingli;  Li, Chenyu;  Shi, Lan;  Liu, Changxiang 收藏  |  浏览/下载：24/0  |  提交时间：2018/03/02 Metamaterial  Terahertz  Electromagnetic Resonance   A novel superposed frame descriptor structure for VCM leo satellite-ground communications 会议论文 Adelaide, SA, Australia, September 25, 2017 - September 29, 2017 作者:  Li, Jionghui;  Lan, Shengchang;  Xiong, Weiming;  Huang, Yonghui;  Sun, Geng 收藏  |  浏览/下载：40/0  |  提交时间：2018/10/12 Variable Neighborhood based Memetic Algorithm for Just-in-Time Distributed Assembly Permutation Flowshop Scheduling 会议论文 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017-01-01 作者:  Wang, Keyao;  Li, Zhengyang;  Duan, Wenzhe;  Feng, Xiaoyi;  Liu, Bo 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 Corridor window  Distributed Assembly Permutation Flowshop Scheduling Problem (DAPFSP)  Just-in-Time (JIT)  maximum earliness/tardiness cost  Memetic Algorithm (MA)  Variable Neighborhood Search (VNS)   The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.