A5101831429- 2D Materials and Applications
- Advanced Measurement and Detection Methods
- Infrared Target Detection Methodologies
- Optical Systems and Laser Technology
- Advanced Computational Techniques and Applications
- Advanced Vision and Imaging
- Iterative Learning Control Systems
- MXene and MAX Phase Materials
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Face and Expression Recognition
- Chalcogenide Semiconductor Thin Films
- Advanced Algorithms and Applications
- Advanced machining processes and optimization
- IoT and Edge/Fog Computing
- Advanced Surface Polishing Techniques
- T-cell and B-cell Immunology
- Advanced Image Processing Techniques
- Gas Sensing Nanomaterials and Sensors
- Image Enhancement Techniques
- Age of Information Optimization
- Blind Source Separation Techniques
- Image Processing Techniques and Applications
- Artificial Immune Systems Applications
Beijing Institute of Technology
2012-2025
Guangzhou Medical University
2023
Guangzhou First People's Hospital
2023
South China University of Technology
2005-2023
Xi'an Jiaotong University
2021
Huazhong University of Science and Technology
2008-2021
Hubei University
2020
Hunan University
2019
Bohai University
2015
Xidian University
2010-2014
The 2D ternary transition metal phosphorous chalcogenides (TMPCs) have attracted extensive research interest due to their widely tunable band gap, rich electronic properties, inherent magnetic and ferroelectric properties. However, the synthesis of TMPCs via chemical vapor deposition (CVD) is still challenging since it difficult control reactions among multi-precursors. Here, a subtractive element growth mechanism proposed controllably synthesize TMPCs. Based on mechanism, including FePS
The accelerating convergence of artificial intelligence (AI) and Internet Things (IoT) has sparked a recent wave interest in Artificial Intelligence (AIoT). By exploiting the novel paradigm edge intelligence, emerging computational intensive resource demanding AIoT applications can be efficiently supported at network edge. However, due to limited capacity and/or power budget node, typically deploy compressed AI models achieve goal low-latency energy-efficient model inference. inherently...
Abstract Mixing entropy engineering is a promising strategy to tune the physical and chemical properties of materials. Although high‐entropy in van der Waals bulk solids have been reported, 2D monolayers remains unconquered. In this work, epitaxial growth 2‐inch 1T″ hexanary medium‐entropy alloy monolayer (Re W b Mo c d S x Se y ) reported via vapor deposition method. The atomic structure composition are confirmed by X‐ray photoelectron spectroscopy, scanning transmission electron...
Abstract The basal plane inert sites and inadequate intrinsic dielectric relaxation are the major bottlenecks limiting electromagnetic microwave (EMW) absorption performance of transition metal tellurides (TMTs). Here, an effective dual defect model based on electron polarization is established iron telluride (FeTe) flakes via one‐step O 2 plasma treatment. Therefore, FeTe activated by Te vacancies incorporation, which form abundant centers, resulting in charge redistribution increased...
Edge intelligence is emerging as a new interdiscipline to accelerate the convergence of artificial (AI) and Internet Things (IoT). By applying edge computing, enables resource-limited IoT devices offload computation-intensive AI applications network for execution. While existing efforts have focused on optimizing model training inference phases intelligence, initial phase intelligence-collaborative cross-edge analytics that preprocess unlabeled raw data dispersed at multiple sites obtain...
Abstract Transition metal carbides and nitrides (MXenes), as a large family of emerging two-dimensional materials, have demonstrated extraordinary performance in many fields such electronics, optics energy storage. However, their susceptibility to oxidation during preparation storage ambient air environment is undesirable for long-term stable applications. Here, we that the spontaneous Ti 3 C 2 T x can be harnessed ingeniously prepare /TiO situ formed heterojunctions. Furthermore,...
The negative selection algorithm (NSA) is one of the basic algorithms artificial immune system. In traditional algorithm, candidate detectors are randomly generated without considering uneven distributions self-antigens and nonself-antigens, thereby resulting in many redundant detectors, it difficult for these to fully cover area nonself-antigens. To overcome problem low detector generation efficiency, a that based on antigen density clustering (ADC-NSA) proposed this paper. divides process...
Abstract 2D intercalated vanadium chalcogenides have attracted intensive interest based on their physical properties and potential applications. However, controllable synthesis of the via chemical vapor deposition is still a big challenge. Here, binary metal precursor co‐reaction growth mechanism to manipulate evaporation rate precursors reported, thus V 1+ X S 2 – 3 5 single crystal can be controllably synthesized. The quality nanosheets identified by Raman spectroscopy high‐resolution...
The intrapulse modulation recognition of radar signals is an important part the reconnaissance. By means digital channelized receiver on processing simultaneous signals, method in this paper accomplishes separation and different modulated from a complex multiple environment with signals. Further, statistical characteristics instantaneous frequency, types can be recognized parameters extracted using method. experimental result provided effectiveness proposed
Abstract Background and Aim Gastric cancer (GC) is a common malignant neoplasm in the gastrointestinal tract, accounting for high mortality globally. Treacle ribosome biogenesis factor 1 (TCOF1) nucleolar protein, which has been reported to be implicated pathogenesis of Treacher Collins syndrome development several types human cancer. However, role TCOF1 GC not known. Methods Immunohistochemistry was carried out determine expression tissues. Immunofluorescence, co‐IP, DNA fiber assays were...
As an emerging computing paradigm, edge has gathered much attention recently. With computing, application datasets as examplified by performance logs and activity records naturally span across multiple sites. Analyzing such cross-edge is however, no means trivial, since the status quo approach which aggregates raw data to a centralized cloud datacenter incurrs high cost overheads. To address this challenge, in paper, we tackle problem of speeding up analytics with low traffic cost, through...
The actuator dead zone of free-form surface grinding robots (FFSGRs) is very common in the process and has a great impact on quality workpiece. In this paper, an improved trajectory tracking algorithm for FFSGR with asymmetric was proposed consideration friction forces, model uncertainties, external disturbances. presented control based machine learning sliding mode (SMC) methods. compensator used neural networks to estimate actuator’s eliminate its effects. robust SMC acted as auxiliary...
The antibody candidate set generated by the clonal selection algorithm has only a small number of antibodies with high antigen affinity to obtain high-frequency mutations. Among other antibodies, some low-affinity are replaced new participate in next selection. A large make it difficult and exist concentration for long time. This part inactive forms “black hole” set, which is remove update timely manner, thus affecting speed at approximates optimal solution. Inspired mechanism biological...
Abstract The remarkable potential of two‐dimensional (2D) materials in sustaining Moore's law has sparked a research frenzy. Extensive efforts have been made the utilizing 2D semiconductors as channel field‐effect transistors. However, next generation integrated devices requires integration gate dielectrics with wider bandgaps and higher dielectric constants. Here, insulating α‐Sb 2 O 3 single‐crystal nanosheets are synthesized by one‐step chemical vapor deposition method. Importantly,...
Abstract Low‐dimensional ternary materials with low‐symmetry structure have emerged as promising candidates for constructing polarization‐sensitive photodetectors. However, the photodetection applications of remain challenging due to limited varieties and uncontrollable preparation. Herein, Cu 3 PS 4 nanowires tunable thickness are successfully synthesized via chemical vapor deposition method. The grown present excellent structural anisotropy strong in‐plane second‐order nonlinear optical...
Mean-Shift a non-parameter algorithm, is widely used in real-time tracking. A crucial problem implementing this algorithm that there presently no clear mechanism for updating the tracking window when variable-size object tracked. To solve problem, we have proposed 2D based on projective geometry previous research.But certain occasions, such as car tracking, 3D can describe more accurately than window. So extend our into and experiment shows performs well.
Feature selection only using wrapper method in high-dimensional data space is always time-consuming. A new feature method, named fast static particle swarm optimization, proposed for tackling this problem. It treats the whole initial set as a which no would be generated high dimensional space, and takes filter strategy to pick out most discriminative subset. Compared with existing methods, experimental results show that faster than methods frontal face detection, detection error rate lower...
In this paper, we propose an adaptive early termination algorithm for motion estimation in multi-view video coding (MVC). Currently, order to find the optimal vector (MV) during MVC, all reference frames need be traversed, but time consumption would huge a 7-modal block whole process. hope of reducing time-consumption and meanwhile maintaining good quality, adopt thresholds based on each group pictures (GOP) terminate (ME) Experimental results demonstrate that, compared with Full Search (FS)...
By making use of the temporal correlations video sequences, a novel algorithm for smoothness evaluation is proposed, which reflects impact frame loss on perceived visual quality. This metric particularly aims at measuring perpetual quality degradation caused by fluctuations, based phenomenon that human system(HVS) pays more attention difference among frames rather than signal frame's sharpness. Then model established, in both source and receiver are measured to evaluate smoothness....