- Analog and Mixed-Signal Circuit Design
- Advanced MEMS and NEMS Technologies
- Mechanical and Optical Resonators
- Radio Frequency Integrated Circuit Design
- Advancements in PLL and VCO Technologies
- Acoustic Wave Resonator Technologies
- Network Security and Intrusion Detection
- Internet Traffic Analysis and Secure E-voting
- Neuroscience and Neural Engineering
- Photonic and Optical Devices
- EEG and Brain-Computer Interfaces
- CCD and CMOS Imaging Sensors
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Sensor Technology and Measurement Systems
- Landslides and related hazards
- Low-power high-performance VLSI design
- Advanced Memory and Neural Computing
- Advanced Malware Detection Techniques
- Peer-to-Peer Network Technologies
- Cryospheric studies and observations
- Semiconductor Quantum Structures and Devices
- Geophysics and Sensor Technology
- Semiconductor materials and interfaces
- Caching and Content Delivery
- Topic Modeling
Tianjin University
2025
Chinese Academy of Sciences
2015-2024
Institute of Semiconductors
2020-2024
University of Chinese Academy of Sciences
2006-2023
Chengdu University of Technology
2022-2023
Hebei University
2023
Institute of Information Engineering
2012-2022
Xi'an Jiaotong University
2019-2021
Institute of Electronics
2011-2020
China People's Public Security University
2019
Many deep-learning methods have been developed for fault diagnosis. However, due to the difficulty of collecting and labeling machine data, datasets in some practical applications are relatively much smaller than other big data benchmarks. In addition, come from different machines. Therefore, on occasions, diagnosis is a multidomain problem with small where satisfactory transfer performance difficult obtain has rarely explored few-shot learning viewpoint. Different existing deep solutions,...
High-Q sensory microsystems are desirable especially in low noise applications. However this makes implementation of the closed-loop control a great challenge. An in-depth investigation into high-performance interface circuit design for high-Q capacitive microaccelerometers is presented. Focus placed on an analogue force feedback scheme with proportional-derivative compensation. Such approach differing from commonly used electromechanical Δ Σ technique, since latter one often suffers severe...
Landslides are a major concern in the mountainous regions of southwest China, leading to significant loss life and property damage. Therefore, it is crucial identify potential landslides for early warning mitigation. stacking-InSAR, technique used landslide identification wide area, has been found be faster than conventional time-series InSAR. However, dense vegetation China mountains an adverse impact on coherence resulting more noise inaccuracies identification. To address this problem,...
Although Cr3+ as activator for Near infrared (NIR) phosphors has been widely studied, the peaks of emission spectra in most hosts are less than 1000 nm. Nd3+ an many a wide distribution absorption Ultraviolet-visible-Near (UV-vis-NIR) band, especially 650-900 nm band effective NIR to Stokes luminescence (4F3/2→4I9/2, 4F3/2→4I11/2 transitions). Therefore, Cr3+, co-doping achieve II region (1000-1700nm) is very meaningful. Here, we report La2CaZrO6(LCZO): with covering ultra-wide range...
A novel high PSRR bandgap reference is presented in this paper. Neither operational amplifiers nor any filtering capacitor are used design. The circuit employs a self-regulating technique to significantly suppress the supply noise over broad frequency range. And problem of coupling caused by traditional start-up also avoided an improved whole has been implemented 0.18μm standard CMOS process. Experimental results demonstrate that voltage achieved -115dB@DC and -90dB@10MHz. temperature...
The Niexia slope, located in Danba County, Sichuan Province, China, with steep slope terrain and dense vegetation coverage, has a height difference of about 3002 m. A traditional manual survey cannot be performed here, single remote sensing technology is not comprehensive enough to identify potential landslides on such high slopes. In this paper, an integrated approach multi-remote techniques was proposed the which combined Interferometry Synthetic Aperture Radar (InSAR), airborne Light...
The DNS protocol is one of the most important network infrastructure protocols. encrypted information based on this will not be intercepted by firewall, so attacker uses vulnerability to pass private data through establishment tunnels and avoids security inspection. In order detect tunnel conveniently effectively, we present a novel method that Autoencoder learn latent representation different datasets. Because feature extracted manually, show how Autoencoder(AE) can automatically concept...
Malware has always threatened the security of networks and computer systems. The traditional methods for malware detection are signature-based with manually designed rules. Some recent involving static or dynamic analysis require professional tools to extract features, while feature engineering is time-consuming labor-intensive. In this paper, we propose MDBA, Detection based on Association mining method. Our approach only takes bytes n-grams from PE binaries as which can be easily obtained....
Stability analysis of self-oscillation drive loop for MEMS gyroscope based on charge-pump PLL (CPPLL) is presented in this paper. The CPPLL-based driving could be realized at a regular voltage CMOS process by maximizing the oscillation amplitude. However, has an unstable state beginning introduced harmonics square wave stage. In order to solve problem, linear model established stability analysis. Based analysis, methods pre-setting control VCO and using hysteresis comparator are proposed...
Phase error of the demodulation clock in Coriolis vibratory gyroscope system allows quadrature errors to leak into sense channel and causes significant bias temperature drift at rate output. A phase self-correction method suppress gyroscopes is proposed. Through sweeping simultaneously monitoring mechanical output gyroscopes, optimal with minimum relatively shift determined. Thus influenced by surroundings can be calibrated on-chip start-up or when environment changes drastically without...
Motor imagery classification has been widely applied in constructing brain computer interface to control the outside equipment as an alternative neural muscular pathway. EEG most popular non-invasive signal suffers from low noise ratio and unpredictable pattern variation even for same subject. To improve accuracy of based motor imageries, many deep learning solutions have developed, mainly including convolutional network (CNN) methods recurrent (RNN) methods. There is no unanimous...
The time-average method currently available is limited to analyzing the specific performance of automatic gain control-proportional and integral (AGC-PI) based velocity-controlled closed-loop in a micro-electro-mechanical systems (MEMS) vibratory gyroscope, since it hard solve nonlinear functions time domain when control loop reaches 3rd order. In this paper, we propose linearization design approach overcome limitation by establishing order linear model transferring analysis frequency...
This paper presents a large dynamic range, low noise integrated circuit for readout of bulk micro-machined vibratory gyroscope. With the proposed Sinusoidal Chopper technique and Differential-Common Duo-Opamp structure, three main objectives are achieved: frequency cancellation; biasing high impedance nodes in traditional fully-differential circuit; linearity capacitance-voltage conversion. These characteristics promise an enhanced range. Furthermore, demodulation is also design, purpose not...
This paper presents a high precision CMOS readout circuit for capacitive MEMS gyroscope. A continuous time topology is employed as well the chopper noise cancelling technique. detailed analysis of and mismatch given. The measurement results have shown that thermal dominates in proposed circuit, several approaches should be used both optimization. chip operates under single 5 V supply, has measured capacitance resolution 0.2 aF/√Hz. With such gyroscope can accurately measure angular rate with...
Most existing approaches for detecting Trojan are limited obfuscation and encryption techniques. In this paper, we present a network behavior analysis designed to address the limitations of previously-proposed approaches. Our solution considered not only transport layer characteristics but also characteristics. The approach in paper exhibits two major advantages: (1) can better represent behavior, (2) performed at very low computational cost. Based on clustering technique, proposed detection...
This paper presents a low noise chopper-stabilized instrumentation amplifier (IA) for EEG recording. The current-reuse technology is adopted to reduce of the IA and regulated cascode circuit used boost open-loop gain amplifier. A ripple reduction loop (RRL) based on novel output-resistance-tuning proposed intrinsic offset output chopper Simulation results show high-pass cutoff frequency 0.15Hz, input referred 0.7μV <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
This paper presents a charge-sensitive-amplifier (CSA) based readout circuit for capacitive microelectro-mechanical-system (MEMS) sensors. A continuous-time (CT) structure using the chopper technique is adopted to cancel low frequency noise and improve resolution of circuits. An operational trans-conductance amplifier (OTA) with an auxiliary common-mode-feedback-OTA proposed in fully differential CSA suppress modulation induced disturbance at OTA input terminal. analog temperature...