A5085715434- Embedded Systems Design Techniques
- Semiconductor materials and devices
- Advancements in Battery Materials
- Parallel Computing and Optimization Techniques
- Interconnection Networks and Systems
- VLSI and Analog Circuit Testing
- Advancements in Semiconductor Devices and Circuit Design
- Power System Optimization and Stability
- Power Systems Fault Detection
- Integrated Circuits and Semiconductor Failure Analysis
- Power Line Communications and Noise
- Supercapacitor Materials and Fabrication
- Advanced Battery Materials and Technologies
- CCD and CMOS Imaging Sensors
- Advanced Optical Sensing Technologies
- Solidification and crystal growth phenomena
- Advanced Mathematical Modeling in Engineering
- Advancements in PLL and VCO Technologies
- Extraction and Separation Processes
- High-Voltage Power Transmission Systems
- Plasma Diagnostics and Applications
- Advanced Battery Technologies Research
- HVDC Systems and Fault Protection
- Magnetic confinement fusion research
- Chalcogenide Semiconductor Thin Films
University of Tennessee at Knoxville
2020-2024
Lanzhou University
2024
Leshan Normal University
2020-2024
Jilin University
2024
Tianjin University of Science and Technology
2024
Knoxville College
2020-2023
Jinan Stomatological Hospital
2023
Huazhong University of Science and Technology
2020-2022
Huazhong Agricultural University
2021
Culture Resource
2021
The Berkeley Emulation Engine 2 (BEE2) project is developing a reusable, modular, and scalable framework for designing high-end reconfigurable computers, including processing-module building block several programming models. Using these elements, BEE2 can provide over 10 times more computing throughput than DSP-based system with similar power consumption cost 100 that of microprocessor-based system.
Power system frequency disturbances are caused by various generation and transmission events including generator trips, load disconnections, line etc. Accurate detections of the crucial to bulk power situation awareness event investigation. This paper utilizes recent advances deep learning build a convolutional neural network model detect in an accurate yet straightforward manner. In this paper, rate change relative angle shift converted images as inputs proposed model. Finally, uses two...
Cognitive radios have been advanced as a technology for the opportunistic use of under-utilized spectrum. radio is able to sense spectrum and detect presence primary users. However, users are skeptical about robustness this sensing process raised concerns with regards interference from cognitive radios. Furthermore, while number techniques aid process, none these verified in practical system. To alleviate concerns, real time testbed required, which can comparison enable measurement...
An entirely physical model is proposed to explain a wide range of seemingly conflicting observations plasma-charging damage. Unlike other authors who largely ignored the role substrate potential, we carefully track both gate and potentials origin electric field developed across thin oxide during plasma exposure. Central this fact that surface floating potential tracks potential. Thus nonuniform drives distribution. Another important idea continued adjustment by their satisfy charge balance...
Selective laser melting (SLM) technology has broad prospects for developing magnesium alloys in structural and biomedical applications. The effects of T4 heat treatment on microstructure, mechanical properties corrosion resistance as-built AZ91D alloy were investigated. results showed that after treatment, β-Mg17Al12 phases distributed around the matrix changed from networks to diffuse dots then disappeared at 420°C 1h. tensile strength hardness decreased treatment. In addition,...
Our group, the Center for Astronomy Signal Processing and Electronics Research (CASPER), seeks to speed development of radio astronomy signal processing instrumentation by designing demonstrating a scalable, upgradeable, FPGA-based computing platform software design methodology that targets range realtime telescope applications. This project relies on small number modular, connectible hardware components open-source libraries which can be reused scaled as capabilities expand. "We have...
With an increasing number of distributed energy resources (DERs) integrating into the power system, grid is becoming more complex and uncertain. Owing to most DERs are through grid-connected converters integrate intermittent nature resource-depended characteristic challenging their monitoring control. Conventional synchronized measurement devices (SMDs) may be difficult provide qualified data for management its accuracy reporting-rate limitation. The systems developed basing on SMDs...
The increasing deployment of phasor measurement units and the advances their reporting rates are challenging present data centers in terms storing analyzing large-volume data. Under power system disturbance conditions, it is difficult to retain critical information while compressing synchrophasor effectively. This article combines cross entropy singular value decomposition, proposing a novel model compress an extremely small size yet keep superior accuracy. proposed extensively tested...
This paper describes the early analysis and estimation features currently implemented in Berkeley Emulation Engine (BEE) system. BEE is an integrated rapid prototyping design environment for communication digital signal processing (DSP) systems, consisting of four multi-FPGA based units, each capable emulating 10 million ASIC (application specific circuits) equivalent gates at overall system clock rate up to 60 MHz. translates over 600 billion 16 bit additions (operations) per second on one...
This paper describes the hardware implementation of a real-time, large-scale, multi-chip FPGA (Field Programmable Gate Array) based emulation engine with capacity 10 million ASIC (Application Specific Integrated Circuits) equivalent gates. Attainable system operation frequency can exceed 60 MHz, and throughput has been empirically verified to achieve 600 billion 16-bit additions per second. The emulator is custom designed maximize performance resource utilization for range telecommunication...
A unified algorithm-architecture-circuit co-design environment for dedicated signal processing hardware is presented. The approach based on a single design description in the graphical Matlab/Simulink that used FPGA emulation, ASIC design, verification and chip testing. This enables system designer with visibility through several layers of hierarchy down to circuit level select optimal architecture. tool flow propagates up circuit-level performance power estimates rapidly evaluate...
Modern advanced phasor measurement units are developed with ultrahigh reporting rates to meet the demand for monitoring power systems dynamics in detail. Due large volume of data, communication and storage seriously challenged presence ultrahigh-density (UHD) synchrophasor point-on-wave (POW) data. Therefore, it is an urgent task compress UHD data more efficient storage. This article proposes several methods POW a lossless manner. First, improved time-series special compression (ITSSC)...
Dense frequency signal refers to the containing harmonic and interharmonic components that are very close each other in domain. Due limited resolution existence of spectrum leakage fence effects, it is difficult accurately detect dense signals. The spectral interference under asynchronous sampling conditions can lead failure measuring multiple adjacent harmonics interharmonics. Therefore, this article proposes a mixed analysis method. model first established. Based on model, discrete Fourier...
ZnCo<sub>2</sub>O<sub>4</sub>/rGO hybrid composites synthesized by an alcoholization process, together with hierarchical microsphere zinc cobalt oxides (ZCO) embedded in the graphene sheets, can display superior rate capability and enhanced cyclic stability during cycling.
Low-cost silicon cutting waste was reused as a silicon-based anode by combining it with different mass ratios of graphite. Si 20 G 80 exhibited excellent fast charge–discharge performance and cycling stability.