TY - GEN A1 - Luis, Leonel A1 - Zhu, Hong A1 - Costa, João A1 - Valls-Solé, Josep A1 - Brandt, Thomas A1 - Zhou, Wu A1 - Schneider, Erich T1 - Reply to the commentary on luis et al. "spontaneous plugging of the horizontal semicircular canal with reversible canal dysfunction and recovery of vestibular evoked myogenic potentials T2 - Otology & Neurotology Y1 - 2014 SN - 1531-7129 VL - 35 IS - 2 SP - 379 EP - 383 ER - TY - GEN A1 - Yi, Chao A1 - Wu, Shunxiang A1 - Xi, Bin A1 - Ming, Daodong A1 - Zhang, Yisong A1 - Zhou, Zhenwen T1 - Terrorist Video Detection System Based on Faster R-CNN and LightGBM T2 - CSAE '20: Proceedings of the 4th International Conference on Computer Science and Application Engineering N2 - Nowadays the mobile phone has become an indispensable tool in the lives of many people. While facilitating people's lives, it also provides criminals with a very important tool for spreading the terrorist video. Traditional manual detection of the terrorist video has the problem of low accuracy and inefficiency. To address the issue, this paper proposes a terrorist video detection system based on Light Gradient Boosting Machine (LightGBM) and Faster Region-based Convolutional Neural Network (Faster R-CNN) for mobile phone forensics system, which is used to quickly detect whether there is a terrorist video in the suspect's mobile phone. The system uses a multi-model method for detection, which includes preliminary detection and deep detection in two stages. Experimental research shows that it can effectively and accurately detect terrorist videos in mobile phones, thereby helping criminal investigation personnel to quickly grasp criminal evidence and provide some clues for the detection of the case. Y1 - 2020 UR - https://dl.acm.org/doi/abs/10.1145/3424978.3425121 SN - 978-1-4503-7772-0 U6 - https://doi.org/10.1145/3424978.3425121 SP - 1 EP - 8 ER - TY - GEN A1 - Wen, Shuyu A1 - Shaikh, Mohd Saif A1 - Steuer, Oliver A1 - Prucnal, Slawomir A1 - Grenzer, Jörg A1 - Hübner, René A1 - Turek, Marcin A1 - Pyszniak, Krzysztof A1 - Reiter, Sebastian A1 - Fischer, Inga Anita A1 - Georgiev, Yordan M. A1 - Helm, Manfred A1 - Wu, Shaoteng A1 - Luo, Jun-Wei A1 - Zhou, Shengqiang A1 - Berencén, Yonder T1 - Room-temperature extended short-wave infrared GeSn photodetectors realized by ion beam techniques T2 - Applied Physics Letters N2 - GeSn alloys hold great promise as high-performance, low-cost, near- and short-wavelength infrared photodetectors with the potential to replace the relatively expensive and currently market-dominant InGaAs- and InSb-based photodetectors. In this Letter, we demonstrate room-temperature GeSn pn photodetectors fabricated by a complementary metal-oxide-semiconductor compatible process, involving Sn and P ion implantation and flash-lamp annealing prior to device fabrication. The fabrication process enables the alloying of Ge with Sn at concentrations up to 4.5% while maintaining the high-quality single-crystalline structure of the material. This allows us to create Ge0.955Sn0.045 pn photodetectors with a low dark current density of 12.8 mA/cm2 and a relatively high extended responsivity of 0.56 A/W at 1.71 μm. These results pave the way for the implementation of a cost-effective, scalable, and CMOS-compatible short-wavelength infrared detector technology. KW - Electric currents KW - Semiconductors KW - Photodetectors KW - C-MOS KW - Electromagnetic radiation detectors KW - Crystal structure KW - Alloys KW - Ion implantation KW - Ion beam analysis Y1 - 2023 UR - https://pubs.aip.org/aip/apl/article/123/8/081109/2907921 U6 - https://doi.org/10.1063/5.0166799 SN - 0003-6951 VL - 123 IS - 8 SP - 1 EP - 7 ER -