Xiao Tang

Xiamen University

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Sicong Liu

Xiamen University

Mohsen Guizani

Qatar University

Xiaojiang Du

Stevens Institute of Technology

Xiaodong Zhang

Beijing University of Posts and Telecommunications

Lan Xie

Central South University

Huansheng Chen

University of Chinese Academy of Sciences

Yifan Cui

Jiangnan University

Yu Hu

Shandong University of Traditional Chinese Medicine

Roberto Crocetti

KTH Royal Institute of Technology

Min Liu

University of Chinese Academy of Sciences

Cooperative Institutions

Chinese Academy of Sciences

Guangxi University

University of Chinese Academy of Sciences

Central South University

Institute of Atmospheric Physics

Fudan University

East China University of Science and Technology

Southeast University

Changsha University

Central South University of Forestry and Technology

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Study on the As-Cast Microstructure and Homogenization Mechanism of GH3128 Superalloy

Journal of Materials Engineering and Performance (2023)

Xulong Guo Yang Zhou Huilin Qi Xiao Tang

Homogenization

10.1007/s11665-023-08107-w

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Citations (5)

Supplementary material to "MP CBM-Z V1.0: design for a new CBM-Z gas-phase chemical mechanism architecture for next generation processors"

Hui Wang Lin Jun-min Qizhong Wu Huansheng Chen Xiao Tang

Table S1.Initial concentrations used in the one-point test case.

10.5194/gmd-2018-42-supplement

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Citations (0)

Sparsity-Aware Intelligent Massive Random Access Control for Massive MIMO Networks: A Reinforcement Learning Based Approach

IEEE Transactions on Wireless Communications (2024)

Xiao Tang Sicong Liu Xiaojiang Du Mohsen Guizani

Massive random access of devices brings great challenge to the management of radio access networks. Most of the time, the access requests in the network is sporadic. Exploiting the bursting nature, sparse active user detection (SAUD) is an efficient enabler towards efficient active user detection. However, the sparsity might be deteriorated in case of high concurrent request periods. To dynamically coordinate the access requests, a reinforcement-learning (RL)-assisted scheme of closed-loop access control utilizing the access class barring (ACB) technique is proposed, where the control policy is determined through continuous interaction between the RL agent and the environment. The proposed RL agent can be deployed at the next generation node base (gNB), supporting rapid switching between heterogeneous vertical applications, such as mMTC and uRLLC services. Moreover, a data-driven scheme of deep-RL-assisted SAUD is proposed to resolve highly complex environments with continuous and high-dimensional state and action spaces, where a replay buffer is applied for automatic large-scale data collection. An Actor-Critic framework is formulated to incorporate the strategy-learning modules into the intelligent control agent. Simulation results show that the proposed schemes can achieve superior performance in both access efficiency and user detection accuracy over the benchmark scheme for different heterogeneous services with massive access requests.

Random access

10.1109/twc.2024.3365153

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Citations (1)

Hysteretic Behavior of Bolt Connections in Timber–Concrete Composite Bridges: Experimental and Numerical Research

Journal of Bridge Engineering (2022)

Lan Xie Guojing He Xiaodong Wang Roberto Crocetti Lian Shen

The hysteretic behavior of bolt connections in a timber–concrete composite (TCC) bridge was investigated. Six identical TCC specimens were designed with bolted connections and subjected to reversed cyclic loading tests. The failure modes, energy dissipation capacity, stiffness degradation, strength degradation, and hysteretic responses of the specimens were evaluated. The experimental results indicate that the predominant failure mode was a dual-hinge mechanism in the bolts of the TCC specimens. The TCC specimens exhibited satisfactory energy dissipation and achieved a mean ductility factor of 6.76. A finite-element model was developed to simulate the cyclic response of the tested TCC specimens. The simulated data are in good agreement with the experimental data. The experimental and numerical results reported are useful for the development of design guidelines for TCC bridges with bolted connections.

Ductility (Earth science)

Failure mechanism

Bridge (graph theory)

Plastic hinge

10.1061/(asce)be.1943-5592.0001967

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Citations (2)

Lithium Battery SOC Estimation Method Based on AFSCKF Algorithm

Xiao Tang Xiumei Zhang Lei Sun Mingming Zang

Aim of this study is to improve the accuracy of the method of estimating the state of charge(SOC) based on the fractional equivalent circuit model(FECM). Based on the fractional model, an adaptive fractional square root cubature Kalman filter(AFSCKF) is designed to estimate SOC. The experiments were compared with fractional cubature Kalman filter(FCKF) under four dynamic cycle conditions. Under the four dynamic cycle conditions, the maximum absolute error(MAE) of AFSCKF is not more than 0.014, the root mean square error(RMSE) is not more than 0.0064, and the MAE of FCKF is not more than 0.02, the RMSE is not more than 0.01. AFSCKF adds a noise estimator based on FCKF, and the transmission of error information is changed from the error covariance matrix to its square root factor. Experimental results show that AFSCKF has better accuracy and robustness, and provides an accurate and reliable method for estimating SOC based on a fractional model.

Robustness

10.1109/rcae56054.2022.9995749

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Dynamic state awareness for distribution network based on robust adaptive cubature kalman filter

Frontiers in Energy Research (2024)

Renchang Dai Yiqiang Wan Deqiang Lian Liguo Weng Xiao Tang

With the rapid development of the economy and society, the demand for power quality is constantly increasing. As a crucial part of grid situational awareness, distribution network state estimation plays a vital role in providing critical data support for other advanced applications, which is significant for ensuring the safe and reliable operation of the distribution network. Therefore, this paper proposes a dynamic state awareness method for distribution networks based on the robust adaptive cubature Kalman filter (RACKF). The proposed solution, grounded on the core computational concept of the cubature Kalman filter (CKF), constructs a robust noise statistical estimator (NSE) composed of a biased NSE and an unbiased NSE to adapt to the unknown and time-varying process noise parameters in the dynamic state estimation process. The proposed solution can ensure that the calculated process noise parameters always meet the constraints and guarantee the robustness of the algorithm. In addition, an estimation strategy for the fusion of multi-time scale measurement data is developed according to the RACKF-based dynamic state estimation features in order to realize system state corrections and updates. The results of simulation experiments and comparisons with traditional CKF methods demonstrate the accuracy and superiority of the proposed solution.

10.3389/fenrg.2024.1477597

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Magnesium Phosphate/Polybutylene Succinate Composite for Bone Repair

Advanced materials research (2015)

Quan Xiang Wang Xie Dong Xiao Tang Ying Yang Wu Yue Ting Ding

MP/PBS composite was fabricated by melt blending method. The weight loss ratio of MP/PBS composite reached 35.43 wt.% after immersion into phosphate buffered saline solution for 12 weeks, and the pH change from 7.40 to 7.72. The relative proliferation rate of cells on the materials increased with time and the proliferation of the cells on the MP/PBS composite was significantly higher than PBS. The results reveal MP/PBS composite has good biocompatibility, which satisfied the relevant criterion on biomaterials.

Polybutylene succinate

Biocompatibility

Magnesium phosphate

Phosphate buffered saline

10.4028/www.scientific.net/amr.1102.95

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A near-infrared fluorescent probe toward β-gal with dual-targeting potential of hepatocytes and lysosomes: Design, synthesis, and evaluation

Bioorganic Chemistry (2025)

Qingyuan Yi Chunxiao Pu Xiao Tang Min Liu Xia Lin

10.1016/j.bioorg.2025.108266

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Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach

arXiv (Cornell University) (2023)

Xiao Tang Sicong Liu Xiaojiang Du Mohsen Guizani

Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requests, sparse active user detection (SAUD) is an efficient enabler towards efficient access management, but the sparsity might be deteriorated in case of uncoordinated massive access requests. To dynamically preserve the sparsity of access requests, a reinforcement-learning (RL)-assisted scheme of closed-loop access control utilizing the access class barring technique is proposed, where the RL policy is determined through continuous interaction between the RL agent, i.e., a next generation node base (gNB), and the environment. The proposed scheme can be implemented by the near-real-time RAN intelligent controller (near-RT RIC) in O-RAN, supporting rapid switching between heterogeneous vertical applications, such as mMTC and uRLLC services. Moreover, a data-driven scheme of deep-RL-assisted SAUD is proposed to resolve highly complex environments with continuous and high-dimensional state and action spaces, where a replay buffer is applied for automatic large-scale data collection. An actor-critic framework is formulated to incorporate the strategy-learning modules into the near-RT RIC. Simulation results show that the proposed schemes can achieve superior performance in both access efficiency and user detection accuracy over the benchmark scheme for different heterogeneous services with massive access requests.

Benchmark (surveying)

Random access

10.48550/arxiv.2303.02657

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Citations (1)

Design of Radio-Frequency Electromagnetic Field Radiated Immunity Automatic Test System in GTEM Cell Based on Labview

Keying Ma Yu Hu Hong-Tao Niu Xiao Tang Wei Wang

Radio frequency electromagnetic field radi-ated immunity test is an important part of EMC (Electromagnetic Compatibility) test, which is usually tested in anechoic chamber to evaluate the immunity of the equipment to radio-frequency electromagnetic radiation. The construction of anechoic chamber and the system in-tegration almost cost millions or even tens of millions of yuan. Additionally, the test in chamber is inefficient be-cause the signal generator outputs slowly in order to avoid damage to high power equipments. For the users who just need the test of small products and equipment parts, the system of chamber is cost-ineffective. To solve the problem, the author designs a test system. The hardware of the sys-tem is based on GTEM (Gigahertz Transverse Electromagnetic) cell, equipped with suitable signal gen-erator, power amplifier, field strength probe etc. The software of the system is based on Labview automatic test program, which can realize the functions of instrument control, PID (Proportion, Integral, Differential) automatic adjustment, automatic test etc. The test results of the system meet the requirements of relevant standards. The system cost can be controlled in less than one million yuan. And the system without high power equipments is high efficiency and has low site requirements, which meets us-er's small products test demand.

Anechoic chamber

Electromagnetic Compatibility

Automatic test equipment

10.1109/assp54407.2021.00034

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Citations (1)