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Fabrication of Co/Al2O3 Composite Nanofiber via Electrospinning with Tunable Magnetic Properties
Zidong Zhang,Wenjin Zhang,Min Chen,Yuliang Jiang,Rui Tian,Jian Zhang,Runhua Fan 한국섬유공학회 2020 Fibers and polymers Vol.21 No.11
In this paper, Co/Al2O3 composite nanofibers with different Co content are fabricated by electrospinning combinedwith selective reduction. By controlling the Co content in the composite nanofiber, not only the fiber’s morphology, but alsothe magnetic properties can be well adjusted to meet different applications’ requirements. The magnetic hysteresis loops ofcomposite nanofiber show two different types of shape, typical ferromagnetism and wasp-waisted ferromagnetism. Interestingly, the saturation magnetization, which has a close relationship with the content of magnetic component, is notsimply shows an increasing tendency with the increases of Co content in the composite fiber. For the Co content below50 wt%, the Ms value increases with the Co content. After that, the saturation magnetization decreases to a valley value atnear 60 wt% Co content, then increases again. The coercivity also shows the same tendency. The results indicate that thedipolar coupling interaction plays a key role in the magnetic property adjustment of Co/Al2O3 composite nanofiber.
Unmanned Aerial Vehicle Targeting Based on Image Matching
Zhang Yan,Li Jianzeng,Li Deliang,Zhou Zidong,Du Yulong,Ji Weidong 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1
Aiming at the problem of low accuracy of the target for one UAV (Unmanned Aerial Vehicle), an UAV target location method based on image matching is presented according to the data of video and photograph as well as the information of the digital map. Firstly, using the improved artificial matching method, the UAV aerial images are jointed based on the digital map to obtain the coordinates information. Then, the UAV video frame resolution containing the target is improved by the improving method of super-resolution reconstruction. Finally, making use of the improved SIFT algorithm, the video frames are registered with the aerial photo to complete the location of the target. Results prove that this method can achieve the target location without the UAV’s position and attitude information, while improving the precision and speed of target location, this method is an effective one for target location based on the image matching in the battlefield.