A5101858722- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Ferroelectric and Negative Capacitance Devices
- Manufacturing Process and Optimization
- Polymer Nanocomposites and Properties
- Advanced Wireless Communication Techniques
- Neuroscience and Neural Engineering
- Industrial Technology and Control Systems
- Natural Fiber Reinforced Composites
- Wireless Communication Networks Research
- Neural Networks and Applications
- Civil and Geotechnical Engineering Research
- Blind Source Separation Techniques
- Mechanical Engineering and Vibrations Research
- Smart Materials for Construction
- PAPR reduction in OFDM
- Advanced Sensor and Control Systems
- Assembly Line Balancing Optimization
- Corrosion Behavior and Inhibition
- Neural Networks and Reservoir Computing
- Advanced machining processes and optimization
- Gear and Bearing Dynamics Analysis
- Direction-of-Arrival Estimation Techniques
Peking University
2017-2024
Central South University of Forestry and Technology
2009-2024
Central South University
2009-2024
Shanghai Jiao Tong University
2021-2023
Wuhan University
2022
Institute of Microelectronics
2017-2021
Washington State University
2018-2021
Hubei University of Arts and Science
2021
Indiana University School of Medicine
2017
Indiana University – Purdue University Indianapolis
2017
In the context of Industry 4.0, manufacturing sector is moving from automation towards intelligence. The application new generation information and communication technologies (ICTs) improves interconnection transparency intelligent (IM) systems, which will change how interacts work done, thus changing should be managed. These changes require following characteristics for IM production operations management (POM): integration, flexibility networking, autonomous collaborative decision-making,...
Generally, computer-science-oriented artificial neural networks (ANNs) and neuroscience-oriented spiking (SNNs) are two main approaches to develop brain-spired non von Neumann computing systems. The goal of exploring complex intelligence (AI) systems demands general neuromorphic hardware platforms compatible with both them. However, as a result the obvious differences in their fundamental mathematical expression coding scheme, many or deep network (DNN) accelerators accommodate only one This...
In wireless communications, increased spectral efficiency and low error rates can be achieved by means of space-time-frequency coded MIMO-OFDM systems. this work, we consider a transmit signal design combining space-frequency modulation with time-varying linear precoding technique which allows spreading multiplexing the transmitted symbols, in both space, time frequency domains. For system, propose two closed-form semi-blind receivers that exploit differently multilinear structure received...
To evaluate the durability of bamboo fiber asphalt mixture using four gradation schemes, is studied considering three aspects: ageing durability, freeze-thaw cycle and fatigue through Marshall test, indoor uniaxial compression low-temperature bending immersion splitting test four-point test. Nonfiber lignin were used as control groups. The results show that addition plant can effectively improve mixture. Bamboo modified mastic has good ductility adhesion due to its rough surface oil...
Acid erosion can accelerate the process of early damage asphalt pavement and decrease durability pavement. However, there are limited research results for mixtures that resist acid rain erosion. To systematically evaluate impact action law on mixtures, three gradation schemes were used: periodic dry-wet cycle immersion test, contact angle test road performance test. The resistance epoxy mixture, SBS-modified mixture 70# matrix tested from aspects anti-aging performance, freeze-thaw fatigue...
The sustainable performance of asphalt pavement depends on the quality and mix design road aggregates. Identifying aggregate morphology size is a prerequisite step for material numerical modeling mixtures. paper aims to review morphometric measurement, characteristic parameters visualization technique Types, calculation methods advantages morphological characteristics are highlighted. applications features volumetric design, compaction processes, mechanical properties effect mixtures...
Spiking neural networks (SNNs) have been witnessing the developing trends to reduce model size and improve hardware efficiency for area- energy-based applications, which are processed by pruning data compressions. However, it is challenging exploit unstructured sparsity of SNNs dense neuromorphic processors. In this article, we present an efficient sparse SNN accelerator (ESSA), leverages both temporal spike events spatial weights in inference. It provides compressed uncompressed compact...
In order to analyze the water damage different warm mix asphalt binders from micro scale, five kinds of binders, 70#A base asphalt, sasobit energy champion 120 °C (EC120) aspha-min sulfur-extended modifier (SEAM) under conditions (dry/wet, original/aging) are prepared for laboratory tests. The atomic force microscope (AFM) is used observe surface properties and measure adhesion between mineral aggregate. obtained results show that dry condition SEAM stronger adhesive ability with aggregate...
In order to explore the applicability of rejuvenated asphalt with wood tar as main raw material, orthogonal test was used determine optimal ratio tar-based rejuvenator. The physical properties, rheological properties and components matrix asphalt, aged commercial RA-102# were tested compared. results show that rejuvenator is 15wt% tar, 0.3wt% biomass fiber, 5wt% plasticizer, compatibilizer, 1wt% stabilizer mass asphalt. Wood can restore meet specification requirements. synergistic effect...
Event-based spiking neural network (SNN) has displayed a promising prospect to realize real-time, efficient and intelligent hardware platforms. Whereas great efforts are still being appealed explore the possibility of introducing online learning abilities neuromorphic systems. In this paper, 28-nm CMOS processor is presented, fulfilling by adopting counter lookup table (LUT) based spike-timing-dependent plasticity (STDP) rule. Designed work at high-precision scenarios, presented integrates...
Simulating human brain with hardware has been an attractive project for many years, since memory is one of the fundamental functions our brains. Several models have proposed up to now in order unveil how organized brain. In this paper, we adopt spatio-temporal (STM) model, which both associative and episodic are analyzed emulated, as reference network architecture. Furthermore, some reasonable adaptations carried out implementation. We finally implement model on FPGA, additional experiments...
This study utilized molecular dynamics simulation to investigate the adhesion process between wood tar-rejuvenated asphalt and acid/alkaline aggregate. Initially, various indicators including contact area, cohesion coefficient, interaction energy were employed assess effect under dry conditions. revealed action mechanism of tar-rejuvenator in enhancing performance aged Subsequently, an asphalt–water–aggregate interface model was developed simulate water damage mixture. aimed unveil intrusion...
To investigate the effect of biochar on adhesion performance asphalt, macroscopic and microscopic 70# base SBS-modified asphalt (SBSMA), sludge-based biochar-modified waste wood-based (WWBMA) were tested using atomic force microscopy (AFM) contact angle tests, respectively. The impact these two testing methods evaluation was also analyzed. Research results indicated that increased number bee-like structures surface while significantly reducing their average area. This improves distribution...