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| 1 | Automatic radar antenna scan type recognition based on limited penetrable visibility graph显示文摘To address the problem of the weak anti-noise and macro-trend extraction abilities of the current methods for identifying radar antenna scan type,a recognition method for radar antenna scan types based on limited penetrable visibility graph(LPVG)is proposed.Firstly,seven types of radar antenna scans are analyzed,which include the circular scan,sector scan,helical scan,raster scan,conical scan,electromechanical hybrid scan and two-dimensional electronic scan.Then,the time series of the pulse amplitude in the radar reconnaissance receiver is converted into an LPVG network,and the feature parameters are extracted.Finally,the recognition result is obtained by using a support vector machine(SVM)classifier.The experimental results show that the recognition accuracy and noise resistance of this new method are improved,where the average recognition accuracy for radar antenna type is at least 90%when the signalto-noise ratio(SNR)is 5 dB and above. | LIU Songtao LEI Zhenshuo GE Yang WEN Zhenming | 2021 | Journal of Systems Engineering and Electronics2021,32,2: | 2 |
| 2 | Self-curling electroconductive nerve dressing for enhancing peripheral nerve regeneration in diabetic rats显示文摘Conductive scaffolds have been shown to exert a therapeutic effect on patients suffering from peripheral nerve injuries(PNIs).However,conventional conductive conduits are made of rigid structures and have limited applications for impaired diabetic patients due to their mechanical mismatch with neural tissues and poor plasticity.We propose the development of biocompatible electroconductive hydrogels(ECHs)that are identical to a surgical dressing in this study.Based on excellent adhesive and self-healing properties,the thin film-like dressing can be easily attached to the injured nerve fibers,automatically warps a tubular structure without requiring any invasive techniques.The ECH offers an intimate and stable electrical bridge coupling with the electrogenic nerve tissues.The in vitro experiments indicated that the ECH promoted the migration and adhesion of the Schwann cells.Furthermore,the ECH facilitated axonal regeneration and remyelination in vitro and in vivo through the MEK/ERK pathway,thus preventing muscle denervation atrophy while retaining functional recovery.The results of this study are likely to facilitate the development of non-invasive treatment techniques for PNIs in diabetic patients utilizing electroconductive hydrogels. | Can Liu Lei Fan Zhenming Tian Huiquan Wen Lei Zhou Pengfei Guan Yian Luo Chuncheung Chan Guoxin Tan Chengyun Ning Limin Rong Bin Liu | 2021 | Bioactive Materials2021,6,11: | 1 |
| 3 | Optical experimental solution for the multiway number partitioning problem and its application to computing power scheduling显示文摘Quantum computing is an emerging technology that is expected to realize an exponential increase in computing power. Recently,its theoretical foundation and application scenarios have been extensively researched and explored. In this work, we propose efficient quantum algorithms suitable for solving computing power scheduling problems in the cloud-rendering domain, which can be viewed mathematically as a generalized form of a typical NP-complete problem, i.e., a multiway number partitioning problem.In our algorithm, the matching pattern between tasks and computing resources with the shortest completion time or optimal load balancing is encoded into the ground state of the Hamiltonian;it is then solved using the optical coherent Ising machine, a practical quantum computing device with at least 100 qubits. The experimental results show that the proposed quantum scheme can achieve significant acceleration and save 97% of the time required to solve combinatorial optimization problems compared with classical algorithms. This demonstrates the computational advantages of optical quantum devices in solving combinatorial optimization problems. Our algorithmic and experimental work will advance the utilization of quantum computers to solve specific NP problems and will broaden the range of possible applications. | Jingwei Wen Zhenming Wang Zhiguo Huang Dunbo Cai Bingjie Jia Chongyu Cao Yin Ma Hai Wei Kai Wen Ling Qian | 2023 | Science China(Physics,Mechanics & Astronomy)2023,66,9: | 0 |
| 4 | Multi-coefficient eigenmode operation—breaking through 10°/h open-loop bias instability in wideband aluminum nitride piezoelectric BAW gyroscopes显示文摘In this paper,a modification to the eigenmode operation of resonant gyroscopes is introduced.The multi-coefficient eigenmode operation can improve cross-mode isolation due to electrode misalignments and imperfections,which is one of the causes of residual quadrature errors in conventional eigenmode operations.A 1400µm annulus aluminum nitride(AlN)on a silicon bulk acoustic wave(BAW)resonator with gyroscopic in-plane bending modes at 2.98 MHz achieves a nearly 60 dB cross-mode isolation when operated as a gyroscope using a multi-coefficient eigenmode architecture.The as-born frequency mismatches in multiple devices are compensated by physical laser trimming.The demonstrated AlN piezoelectric BAW gyroscope shows a large open-loop bandwidth of 150 Hz and a high scale factor of 9.5 nA/°/s on a test board with a vacuum chamber.The measured angle random walk is 0.145°/√h,and the bias instability is 8.6°/h,showing significant improvement compared to the previous eigenmode AlN BAW gyroscope.The results from this paper prove that with multi-coefficient eigenmode operations,piezoelectric AlN BAW gyroscopes can achieve a noise performance comparable to that of their capacitive counterpart while having the unique advantage of a large open-loop bandwidth and not requiring large DC polarization voltages. | Zhenming Liu Haoran Wen Farrokh Ayazi | 2023 | Microsystems & Nanoengineering2023,9,1: | 0 |