- Quantum and electron transport phenomena
- Molecular Junctions and Nanostructures
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Distributed and Parallel Computing Systems
- Graphene research and applications
- Traffic control and management
- Data Mining Algorithms and Applications
- Topological Materials and Phenomena
- Advancements in Semiconductor Devices and Circuit Design
- Blockchain Technology Applications and Security
- Magnetic properties of thin films
- Cloud Computing and Resource Management
- Quantum-Dot Cellular Automata
- Advanced Memory and Neural Computing
- Rough Sets and Fuzzy Logic
- CCD and CMOS Imaging Sensors
- Semiconductor Quantum Structures and Devices
- 2D Materials and Applications
- Neural Networks and Reservoir Computing
- Quantum Information and Cryptography
- Advanced Computational Techniques and Applications
- Surface Roughness and Optical Measurements
- Concrete and Cement Materials Research
- Parallel Computing and Optimization Techniques
Fudan University
2025
Zhejiang University of Technology
2007-2024
Chinese Academy of Sciences
2023-2024
Institute of Semiconductors
2009-2024
Beijing Building Construction Research Institute (China)
2023
Beijing University of Chemical Technology
2013-2018
Xinjiang Entry-Exit Inspection and Quarantine Bureau
2007
Zhejiang University
2003
Abstract Neuromorphic systems can parallelize the perception and computation of information, making it possible to break through von Neumann bottleneck. engineering has been developed over a long period time based on Hebbian learning rules. The optoelectronic neuromorphic analog device combines advantages electricity optics, simulate biological visual system, which very strong development potential. Low‐dimensional materials play important role in field devices due their flexible bandgap...
Currently, the improvement in processing capacity of traditional processors considerably lags behind demands real-time image caused by advancement photodetectors and widespread deployment high-definition sensors. Therefore, achieving at sensor level has become a prominent research domain field photodetector technology. This goal underscores need for with enhanced multifunctional integration capabilities than can perform computations using optical or electrical signals. In this study, we...
The destruction of communication infrastructure after a disaster makes it impossible for vehicles to timely transmit important data, such as casualty locations, road conditions and rescue demands, which brings great difficulties ensure safe driving efficient rescue. Some existing schemes have proposed the use Unmanned Aerial Vehicles (UAVs) assist data sharing in Internet (IoV) perform instant missions. However, untrusted network environment mutual unbelief among lead potential security...
The production of urea predominantly relies on the energy-intensive Bosch–Meiser process, which operates at temperatures ranging from 150 to 200 °C and pressures approximately 250 bar. More sustainable approaches synthesis under milder conditions remain a significant challenge. Herein, we demonstrate that can be synthesized via mechanochemical method using ammonia–water CO2 an ambient environment. Without extra catalysts, ZrO2 texture jar grinding balls has crucial mechanocatalytic effect...
An integer wavelet based multiple logo-watermarking scheme for copyright protection of digital image is presented. A visual meaningful binary logo used as watermark. The process watermark embedding carried out by transforming the host in domain. To construct a blind watermarking scheme, coefficients HH and LL bands are modified depending on bits. add security, permutation to preprocess From experimental results it can be observed that proposed method robust wide variety attacks. Comparison...
Short-term traffic speed prediction has become one of the most important parts intelligent transportation systems (ITSs). In recent years, deep learning methods have demonstrated their superiority both in accuracy and efficiency. However, them only consider temporal information, overlooking spatial or some environmental factors, especially different correlations between target road surrounding roads. This paper proposes a approach based on clustering hierarchical attention (TCHA) to address...
In this study, the authors propose a novel component -wise variable step-size (CVSS) diffusion distributed algorithm for estimating specific parameter over sensor networks. The novelty of CVSS is that step-sizes vary from each other on different components at iteration. They derive steady-state value global mean-square deviation (MSD) and relative MSD (RMSD). numerical simulations, they compare proposed with several least mean square (LMS) algorithms. Results show that, when compared these...
Traffic network partitioning is of great importance in regional coordinated traffic signal control urban areas. Most algorithms only use a single parameter to represent dynamic information, which will lead inaccurate results. Moreover, traditional clustering and heuristic are not practical applications. Thus, this paper, we first propose new combinatorial characteristic for clustering-based algorithm by using the Pearson correlation coefficient data normalization. Then, refer idea “snake”...
We investigate theoretically spin polarization in a square AB ring and circular with the Rashba spin-orbit interaction (RSOI) magnetic flux. It is shown that presence of both RSOI perpendicular field, rings can work as polarizer, transport be modulated by values system parameters. In addition, we find more suitable for polarizer due to its higher stability.
Fly ash usually requires high-temperature maintenance owing to its low volcanic activity, which greatly limits application. In this study, fly-ash-based geopolymer grouting materials were prepared by modifying them with suitable alkali activators and metakaolin at room temperature. The results of the orthogonal experiments showed that content had most significant effect on 1-, 7- 28-day mechanical properties material. optimum mix proportion was determined as (m MK /m P ) = 15%, sodium...
The average speed (AS) of a road segment is an important factor for predicting traffic congestion, because the accuracy AS can directly affect implementation management. environment, spatiotemporal information, and dynamic interaction between these two factors impact predictive in existing literature, floating car data comprehensively reflect operation urban vehicles. In this paper, we proposed novel model, which based on data. First, historical AS, weather, date attributes prediction has...
The ballistic spin transport in one-dimensional waveguides with the Rashba effect is studied. Due to effect, there are two electron states different wave vectors for same energy. functions of derived, and it found that their phase depend on direction circuit directions perpendicular circuit, +π/2 −π/2 angles, respectively. boundary conditions derivatives at intersection circuits given, which can be used investigate waveguide properties any shape structure. eigenstates closed circular square...
Geopolymers are green and sustainable cementitious materials that a possible alternative to cement due lower energy consumption emissions. Volcanic ash can be used as raw material prepare geopolymers by alkali activation owing its high silica alumina content. However, research on volcanic-ash-based is still limited no consensus the optimal activator reaction mechanism has been obtained. This study investigates effect of activators with different cations mechanical properties microstructure...
Advanced traffic signal timing method plays very important role in reducing road congestion and air pollution.Reinforcement learning is considered as superior approach to build light scheme by many recent studies.It fulfills real adaptive control the means of taking real-time information state, adjusting action.However, existing works behave inefficient complex intersections they are lack feasibility because most them adopt whose phase sequence flexible.To address these issues, a novel...
Traffic speed prediction plays an important role in intelligent transportation systems, and many approaches have been proposed over recent decades. In years, methods using graph convolutional networks (GCNs) more promising, which can extract the spatiality of traffic achieve a better performance than others. However, these only use inaccurate historical data to forecast, decreases accuracy certain degree. Moreover, they ignore influence dynamic on spatial relationships merely consider static...
In this work, spontaneous emission enhancement inducted by surface plasmon on nano-metallic particle systems embedded in GaN-based LED is investigated numerically. The under study consist of two nano-Ag balls or cylinders. By numerically tuning geometrical parameters the system and polarization photon emitting source, we investigate dependence effect those factors. It found that magnitude level peak position are subject to characteristics components different manners for symmetrical...
The ballistic transport of Rashba electrons in a straight structure two-dimensional electron gas is studied. It found that there no mixing between the wave functions spin up and down states, transfer matrix independent for every interface. influence coefficient on investigated. Our results indicate transmission probabilities are sign magnitude it depends shape structure, especially stub width. antiresonance found, where quasiconfined state formed center part structure.
Summary The schedule of divisible loads is one the most typical problems in research and application parallel distributed systems. For these large‐scale systems, energy consumption problem has drawn great attention recent years because falling hardware costs growing concern costs. In computing‐intensive primarily consumed by CPUs, dynamic voltage‐frequency scaling technology capable adjusting CPUs' speed as well saving energy. this paper, we focus on applications study energy‐aware...
An important challenge in grids is load balancing, and it includes problems about incentives self-interest. Mechanism design (MD) provides a good solution to these two problems. And truthful mechanism can force participants tell their truth if they want maximize interest. But cannot restrict participants' behaviors practice. In this paper, we extend mechanisms' definitions, introduce the penalty bonus, formulate bonus model with power functions, quantify value delay instead of execution...