Visible to the public Biblio

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Wang, Meng, Zhao, Shengsheng, Zhang, Xiaolong, Huang, Changwei, Zhu, Yi.  2020.  Effect of La addition on structural, magnetic and optical properties of multiferroic YFeO3 nanopowders fabricated by low-temperature solid-state reaction method. 2020 6th International Conference on Mechanical Engineering and Automation Science (ICMEAS). :242–246.
Nanosize multiferroic La-doped YFeO3 powders are harvested via a low-temperature solid-state reaction method. X-ray diffraction (XRD), scanning electron microscopy (SEM) and Raman spectra analysis reveal that with La addition, YFeO3 powders are successfully fabricated at a lower temperature with the size below 60 nm, and a refined structure is obtained. Magnetic hysteresis loop illustrates ferromagnetic behavior of YFeO3 nano particles can be enhanced with La addition. The maximum and remnant magnetization of the powders are about 4.03 and 1.22 emu/g, respectively. It is shown that the optical band gap is around 2.25 eV, proving that La doped YFeO3 nano particles can strongly absorb visible light. Both magnetic and optical properties are greatly enhanced with La addition, proving its potential application in magnetic and optical field.
Zhu, Yi, Liu, Sen, Newsam, Shawn.  2017.  Large-Scale Mapping of Human Activity Using Geo-Tagged Videos. Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. :68:1–68:4.

This paper is the first work to perform spatio-temporal mapping of human activity using the visual content of geo-tagged videos. We utilize a recent deep-learning based video analysis framework, termed hidden two-stream networks, to recognize a range of activities in YouTube videos. This framework is efficient and can run in real time or faster which is important for recognizing events as they occur in streaming video or for reducing latency in analyzing already captured video. This is, in turn, important for using video in smart-city applications. We perform a series of experiments to show our approach is able to map activities both spatially and temporally.