A5101627965- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Advanced Thermoelectric Materials and Devices
- Advanced Computational Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Wireless Network Optimization
- Assembly Line Balancing Optimization
- Millimeter-Wave Propagation and Modeling
- Wireless Sensor Networks and IoT
- Traffic Prediction and Management Techniques
- Advanced Manufacturing and Logistics Optimization
- 2D Materials and Applications
- E-commerce and Technology Innovations
- Artificial Intelligence in Healthcare and Education
- Engineering and Test Systems
- Reinforcement Learning in Robotics
- Simulation and Modeling Applications
- Advanced Data Storage Technologies
- User Authentication and Security Systems
- Manufacturing Process and Optimization
- Grey System Theory Applications
- Extenics and Innovation Methods
- Hepatitis B Virus Studies
- Dendrimers and Hyperbranched Polymers
- Embedded Systems and FPGA Design
Liaocheng University
2023-2025
Southern Medical University
2024
Zhengzhou University
2006-2024
Southwest Petroleum University
2021-2023
Southern University of Science and Technology
2022-2023
Henan Institute of Technology
2023
Huawei Technologies (China)
2022
Northeastern University
2010-2020
Chongqing University of Posts and Telecommunications
2020
Shanghai Key Laboratory of Trustworthy Computing
2020
In recent years, with the rapid development of deep learning, artificial intelligence (AI) has gradually become a powerful assistant for humans in various aspects. The maturity and advancement natural language models led to birth Chat Generative Pre-Trained Transformer (ChatGPT), generating great potential healthcare applications. This review summarized possible application prospects ChatGPT healthcare, assessed limitations that still exist, suggested improvements. conclusion, current...
Abstract Structural dimensionality and electronic play a crucial role in determining the type of excitonic emission hybrid metal halides (HMHs). It is important but challenging to achieve free exciton (FE) zero‐dimensional (0D) HMHs based on control over dimensionality. In this work, quasi‐0D HMH (C 7 H 15 N 2 Br) PbBr 4 with localized prepared as prototype model. With increasing pressure onto , broad weak self‐trapped (STE) at ambient conditions considerably enhanced before 3.6 GPa, which...
With macro and micro base stations (BSs) of different transmission processing capabilities jointly deployed, heterogeneous networks effectively extend the coverage capacity wireless have been adopted as one key technologies in Fourth-Generation-Long-Term Evolution (4G-LTE). To fully exploit benefits networks, proper mobile association, interference management, radio resource management schemes need to be developed. In this paper, we investigate allocation for with cooperative relays, where...
In millimeter wave (mmWave) communications with possible gigabit-per-second data rate, the severe path loss can effectively be alleviated by adaptive beamforming using antenna arrays. However, this complicates initial access (IA), which a mobile user equipment (UE) establishes physical link connection mmWave base station (BS). The total duration of IA directional search very long since multiple preambles should repeatedly transmitted for all transmit and receive beam pairs. work, we focus on...
Secure protocol is a vital guarantee in all kinds of communication network environment. Designing on authenticated key exchange protocols hotspot the field information security at present, and related theories have been increasingly mature. However, there still scarcely any appropriate to wireless body area networks (WBANs). In this paper, according standards WBAN, we define layered model accordance with definition two-hop star topology firstly. line model, put forward two new based...
As radio interface approaches its practical capacity limit given limited spectrum resource, network architecture innovation/revolution would play a key role in boosting wireless communication system and improving user experience. Deploying dense small cell networks overlaying the conventional macro is widely regarded as step towards revolution for improved energy efficiency. In this paper, we analytically investigate efficiency of densely deployed downlink using tools from stochastic...
Abstract The presence of the van der Waals gap in layered materials creates a wealth intriguing phenomena different to their counterparts conventional materials. For example, pressurization can generate large anisotropic lattice shrinkage along stacking orientation and/or significant interlayer sliding, and many exotic pressure-dependent properties derive from these mechanisms. Here we report giant piezoresistivity pressurized β ′-In 2 Se 3 . Upon compression, six-orders-of-magnitude drop...
Chest tomosynthesis (CTS) as a newly developed imaging technique can provide pseudo-3D volume anatomical information of the thorax from limited-angle projections. However, one drawback is that acquisition angle for CTS much less than 180°, so reconstructed image may be contaminated by structures behind and in front in-focus plane. To reduce noise, this study, we deep learning-based bone suppression model to remove these occluding bony projections images then using bone-suppressed...
In this work, based on current 5G New Radio (NR) SYNC/RACH slot structures, we focus initial access (IA) techniques when the base stations (BSs) and user equipments (UEs) are equipped with uniform planar array (UPA) antennas without context information from macro BSs. With different omni/beam exhaustive/iterative search, present five possible IA schemes: (i) BS omni/UE omni as a reference; (ii) Exhaustive Search 1; (iii) 2; (iv) Iterative 2. Through simulations comparisons, demonstrate...
Communication-Based Train Control System (CBTC) system is an automated for train control based on bidirectional train-ground communication. Safety-risk estimation a vital approach that strives to guide the CBTC guarantee safe operation of vehicles. We propose deep learning method predict safety-risk states combined with formal methods. First, impact factors are selected, and movement authorization (MA) failure rate calculated by statistical model checking. Then, we use neural network...
An attempt is made to analysis the change trend of total cost spent on workers according workerspsila multi-functionality under conditions changeable and unchangeable in a cellular manufacturing, wherein, workerpsilas refers number machines that can be operated by worker. The manufacturing as main productive mode researched applied widely, researches field have gained many effective results when designing layout forming production scheduling. However, factors considered former papers mainly...
Reinforcement learning aims to discover an optimal policy that maximizes reward based on the feedback signal. Although method succeeds in numerous systems, it may not apply safe-critical systems due absence of safety protection mechanism. Besides, agent is unable model environment accurately if getting biased observation. We present a safe algorithm called Safe Control with Supervisor (SCS) for addressing limitation. If accurate, supervisor monitors system and repairs action at runtime,...
In order to deepen the good role of electric vehicles in reducing carbon emissions transportation system and promote high proportion clean energy consumption, low-carbon economic operation park integrated (PIES) is realized, this paper establishes a optimal dispatch model for PIES considering trading vehicles. Firstly, vehicles(EVs) are introduced into cost mechanism, ladder-type calculation calculating costs by emission intervals constructed; Secondly, comprehensively maintenance costs,...
In recent years, assembly cells as a new manufacturing system have clearly shown that it the ability to generate significant performance improvements over unbuffered, multi-model, linked lines and multi-model with finite buffer of inventory between stations. However, some effective methods for scheduling in real time this are sparse. paper, kind distributed arrival control strategy is introduced, which has been used single machine scenario. The algorithm modified adapt system. addition,...
The energy internet is a cyber-physical system (CPS) to connect directly and indirectly the devices of information, communication, control, protection effectively generate, transmit, use, store various by merging new technologies such as artificial intelligence (AI), cloud computing, blockchain, etc. Recently, AI technology has become increasingly popular in many research industrial fields because it can perform tasks well. However, applying relatively less. Therefore, this paper, potential...