Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

Get full text

Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data by Yan Zhang, M. M. Kamruzzaman, Lu Feng

“…Nowadays, the development of big data is getting faster and faster, and the related research on motion sensing recognition and complex systems under the background of big data is gradually being valued. …”
Get full text

Advanced AI-assisted panoramic radiograph analysis for periodontal prognostication and alveolar bone loss detection by Jarupat Jundaeng, Jarupat Jundaeng, Jarupat Jundaeng, Rapeeporn Chamchong, Choosak Nithikathkul, Choosak Nithikathkul

“…Image enhancement techniques were applied, and an AI model based on YOLOv8 was developed to segment teeth, identify the cemento-enamel junction (CEJ), and assess alveolar bone levels. …”
Get full text

Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion by Bing WANG, Zhengquan LI, Feng YAN, Lianfeng SHEN

Get full text

Study of Hydrodynamic Dispersion Laws in Homogeneous and Heterogeneous Soil by WANG Da, ZHUANG Luwen, LIN Kairong, FENG Shangchao

Get full text

RESEARCH ON DYNAMIC PROPERTY FOR CASTING CRANE IN THE LOAD-LIFTING PROCESS BASE ON THERMO-ELASTIC COUPLING by HUANG Bin, FENG LiXia, XIANG ZaiYu

“…As the rapid development of steel smelting industry,the casting cranes are developed tend to high speed and large-scale. The reliability and safety of a crane was largely affected by the dynamic property of the bridge. …”
Get full text

Study on the Effect of Soft and Hard Coal Pore Structure on Gas Adsorption Characteristics by Xun Zhao, Tao Feng, Ping Wang, Ze Liao

Get full text

Optimistic Mix-net protocol based on bilinear pairings by Long-hai LI, Shao-feng FU, Rui-dan SU

Get full text

STUDY OF LIGHTWEIGHT DESIGN ON GIRDER OF BRIDGE CRANE by TANG Hui, YU LanFeng, YAN Fei, ZHAO DengShan

Get full text

Transient Frequency Interaction Between Grid-Following and Grid-Forming Sources in Windfarm Under Severe Grid Faults by ZHANG Yu, ZHANG Chen, BAO Yanhong, WU Feng, CAI Xu

Get full text

Study on Temperature Rise Characteristics of Grease Lubricated Thrust Angular Contact Ball Bearings Under Complex Working Conditions by Shijie Wang, Pengchang Jiang, Feng Liu, Guixiu Luo, Zhanli Zhang

Get full text

Intrusion detection scheme based on neural network in vehicle network by Yi-liang LIU, Ya-li SHI, Hao FENG, Liang-min WANG

Get full text

Efficient hybrid-encryption-based optimistic Mix-net protocol by Long-hai LI, Cheng-qiang HUANG, Shang-mei XU, Shao-feng FU

“…An efficient hybrid-encryption-based Mix-net is presented that is much faster than all previous Mix-nets with public verifiability when all mix-servers execute the mixing protocol honestly (the usual case).The improvement by taking an “optimistic” and hash-based approach to verify the correctness of mixing is achieved without requiring complex and costly zero-knowledge proofs.Only two element-wise testing processes with low-cost computations of hash functions are involved to make certain messages are not manipulated by a cheating server.An efficient integration of public-key and symmetric-key operations also speeds up the mixing.As a result,the computational task of each mix-server is almost independent of the number of mix-servers except for some negligible tasks.Anyone can verify the correctness of a result rapidly by computing a few exponentiations.The scheme is robust,too.Those characteristics make it very suitable for large scale electronic voting.…”
Get full text

Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network by Haining MENG, Xinyu TONG, Yuekai SHI, Lei ZHU, Kai FENG, Xinhong HEI

“…In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system, a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural network model (ARIMA-RNN) was proposed.Firstly, the ARIMA model performs software aging prediction of time series data in cloud server.Then the grey relation analysis method was used to calculate the correlation of the time series data to determine the input dimension of RNN model.Finally, the predicted value of ARIMA model and historical data were used as the input of RNN model for secondary aging prediction, which overcomes the limitation that ARIMA model has low prediction accuracy for time series data with large fluctuation.The experimental results show that the proposed ARIMA-RNN model has higher prediction accuracy than ARIMA model and RNN model, and has faster prediction convergence speed than RNN model.…”
Get full text

Spectrum allocation algorithm based on multi-agent reinforcement learning in smart grid by Feng YAN, Xiaowei LIN, Zhenghao LI, Xia XU, Weiwei XIA, Lianfeng SHEN

Get full text

THE IMPACT OF PROPRIOCEPTION DURING THE TRAINING PERIOD OF MALE JUNIOR II PLAYERS by Seciu Alex-Paul, Ene-Voiculescu Virgil, Popa Roxana-Nicoleta

Get full text

Performance Analysis of Grid-Connected Distributed Generation System Integrating a Hybrid Wind-PV Farm Using UPQC by Tongfei Lei, Saleem Riaz, Noor Zanib, Munira Batool, Feng Pan, Shaoguo Zhang

“…A comprehensive analysis of flow of the AP through the converters is done to ensure a proper understanding of how Wind-PV-UPQC works. …”
Get full text

A Hybrid Ant Colony Optimization Algorithm for Multi-Compartment Vehicle Routing Problem by Ning Guo, Bin Qian, Rong Hu, Huai P. Jin, Feng H. Xiang

“…The multi-compartment vehicle routing problem (MCVRP) has been applied in fuel or food delivery, waste collection, and livestock transportation. …”
Get full text

A Novel Parallel Ant Colony Optimization Algorithm for Warehouse Path Planning by Junqi Yu, Ruolin Li, Zengxi Feng, Anjun Zhao, Zirui Yu, Ziyan Ye, Junfeng Wang

Get full text

Performance of Poly(Styrene—Divinylbenzene) Magnetic Porous Microspheres Prepared by Suspension Polymerization for the Adsorption of 2, 4-Dichlorophenol and 2, 6-Dichlorophenol fro... by Ping Yu, Qilong Sun, Jianming Pan, Zhenjiang Tan, Jiangdong Dai, Yongsheng Yan, Feng Cheng

“…Poly(styrene–divinylbenzene)/Fe 3 O 4 (Fe 3 O 4 @St–DVB) magnetic porous polymer microspheres based on suspension polymerization were prepared for adsorption of 2, 4-dichlorophenol (2, 4-DCP) and 2, 6-dichlorophenol (2, 6-DCP) from aqueous solution. …”
Get full text