A5100365392- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Advanced MEMS and NEMS Technologies
- Mechanical and Optical Resonators
- Neural dynamics and brain function
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Analog and Mixed-Signal Circuit Design
- Traffic control and management
- Transportation Planning and Optimization
- Electromagnetic Scattering and Analysis
- Microgrid Control and Optimization
- Gas Sensing Nanomaterials and Sensors
- Power Systems Fault Detection
- Smart Grid Energy Management
- Conducting polymers and applications
- Advanced Multi-Objective Optimization Algorithms
- Advanced Sensor Technologies Research
- Risk and Safety Analysis
- Electrical Fault Detection and Protection
- CCD and CMOS Imaging Sensors
- Optimal Power Flow Distribution
- Advanced Sensor and Energy Harvesting Materials
- Electromagnetic Compatibility and Measurements
- Traffic Prediction and Management Techniques
University of Southampton
2021-2022
Sun Yat-sen University
2020-2022
Chinese University of Hong Kong
2021
Tianjin University
2019
Wuhan University of Technology
2018
Dalian University of Technology
2018
Institute of Microelectronics
2018
Air Force Engineering University
2003
Extensive traffic flow data are received from the loop detector networks every second, which requires us to develop an effective and efficient algorithm predict future flow. However, dynamic conditions on a road not just influenced by sequential patterns in temporal dimension, but also other roadways spatial dimension. Although many successful models have been developed previous studies forecast flows, most of them shortcomings modeling dependencies. In this article, we focus...
The color-tuning capability of solid-state lighting (SSL) systems are highly demanded for smart according to the environmental conditions, as well wireless sensing information. In meanwhile, state-of-the-art triboelectric nanogenerator (TENG)-based rely on bulky and expensive devices, which require cable connections additional power consumptions. This work aims at solving these challenges, through developing a tribo-induced color tuner that can be integrated into vastly distributed...
RRAM technology has experienced explosive growth in the last decade, with multiple device structures being developed for a wide range of applications. However, transitioning from lab into marketplace requires development an accessible and user-friendly design flow, supported by industry-grade toolchain. In this work, we demonstrate examples end-to-end flow RRAM-based electronics, introduction custom model our chosen CAD tool to performing layout-versus-schematic post-layout checks including...
Parallel operation of power transformers is a common phenomenon in networks and plays key role the development active distribution network (ADN). In this paper, parallel model solid-state transformer (SST) an on-load tap changer (OLTC) proposed, which can not only improve supply reliability grid, but also compensate for reactive maximize use clean energy. On basis, optimization (RPO) ADN under condition SST OLTC constructed. Firstly, considering SST's own loss, steady-state established....
An automatic design system for the voltage reference circuit is presented in this paper. The coding method based on tracking improved and instruction set expanded, thus structure with MOS transistors can be automatically generated. differential evolution used to optimize circuit. To improve convergence speed optimization effect, a new constrained solution fast non-dominated algorithm weights are proposed. At same time, HashMap as cache reduce time. Based proposed generation parameter...
Faulty phase selection is one of the core technologies full compensation arc suppression system for single-phase grounding faults in distribution networks. At present, faulty mainly used automatic reclosing and distance protection algorithms direct-earthing systems. These methods have applicability problems single-phase-to earth non-effectively grounded networks because different neutral voltage. when theoretical current injected, whose value determined by supperssion method, voltage healthy...
Detecting neuronal activity for rehabilitation/assistive devices is an example of extreme edge computing, featuring stringent requirements data bandwidth from implantable acquisition system, low-power consumption and ideally also low latency. Recently, we proposed a neural recording system which detects spikes directly on the signals collected electrophysiological probes. The achieves power efficiency by utilising combination integrative sensing ultra-fine offset compensation. A central...
One of the challenges designing neural front-end is to reject DC offset from electrodes. The conventional AC-coupled solution utilise large input capacitors and pseudo-resistors, which have key limitations area, linearity drift. In this paper, we propose a DC-coupled based on hybrid CMOS/memristor technique. spike detection realised by thresholding in proposed front-end, consists memristive amplifier DLC. boosts micro-volt signals milli-volt through integration, making it recognised...
Recording reliably extracellular neural activities isan essential prerequisite for the development of bioelectronicsand neuroprosthetic applications. Recently, a fully differential,2-stage, integrating pre-amplifier was proposed amplifyingand then digitising signals. The amplifier featured finelytuneable offset that used as variable threshold detector.Given is integrating, DC operating pointkeeps changing during integration, rendering traditional analysis(AC/DC) unsuitable. In this work, we...
In this paper, a new type of aircraft communication antenna with special structure - waist-shaped is present. The nonorthogonal FDTD (NFDTD) algorithm adopted to analyze the aid good agreement between results by NFDTD computation and measurements are seen. Furthermore, obtained radiation property discussed. With antenna, continuous ensured during maneuver flight.
Epileptic seizure prediction could help patients stay safe and provide them with opportunities to prevent seizures in advance. This can be realised by a complete system that captures the intracortical neuronal signals from implantable device, processes recorded data for discriminating transfers information personal advisory device. Seizures discriminated monitoring counts of population spikes we proposed spike detection front-end this application. The discrete-time amplifies, detects...