Fingertip Proximity-Based Grasping Pattern Prediction of Transradial Myoelectric Prosthesis by Bin Yang, Chunyuan Shi, Ziqi Liu, Yawen Hu, Ming Cheng, Li Jiang

“…For transradial amputees, especially those with insufficient residual muscle activity, it is challenging to quickly obtain an appropriate grasping pattern for a multigrasp prosthesis. To address this problem, this study proposed a fingertip proximity sensor and a grasping pattern prediction method base on it. …”
Get full text

A Confidential Transmission Method for High-Speed Power Line Carrier Communications Based on Generalized Two-Dimensional Polynomial Chaotic Mapping by Zihan Nie, Zhitao Guo, Jinli Yuan

“…The autoregressive moving average model is employed to determine the degree of transmission fluctuation deviation in the high-speed power line carrier communication network. …”
Get full text

Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s by Yuanbin WANG, Sixiong WEI, Huaying WU, Yu DUAN, Meng LIU

“…In addition, EIoU loss is utilized to replace the original CIoU loss function, solving the problem of fuzzy width-to-height ratio of the prediction frame, ensure the accuracy of the regression frame, and accelerate the convergence speed of the network. …”
Get full text

Semi-supervised segmentation of cardiac chambers from LGE-CMR using feature consistency awareness by Hairui Wang, Helin Huang, Jing Wu, Nan Li, Kaihao Gu, Xiaomei Wu

“…Conclusion Experiments demonstrated that our method outperforms previous semi-supervised methods, showing the potential of the proposed network for semi-supervised segmentation problems.…”
Get full text

Efficient Hierarchical Hash-Based Multi-Field Packet Classification With Fast Update for Software Switches by Yeim-Kuan Chang, Yu-Hung Lin, Jia-Chang Chang, Wenjun Li, Sun-Yuan Hsieh

“…Packet classification that attracts wide interests in router designs is one of the most important functionalities to provide services such as QoS, packet forwarding, firewall, and VPN. With the expanding network and the rise of software-defined networks, software routers/switches are needed to enable a wide variety of network applications in physical or virtual networks. …”
Get full text

The Shrinking of Beijing and the Rising of Xiong’an: Optimize Population Migration in terms of Transport Service by Hongzhi Lin

“…It is well known that the bilevel programming problem is tough and challenging. A try-and-error algorithm is designed for the upper-level model, and a method of successive average (MSA) is developed for the lower-level model. …”
Get full text

Regional experience in organizing the protection of minors from a destructive information environment (by the example of non-central regions) by S. E. Titor

“…Researchers believe that a comprehensive solution to the problem of ensuring the information security of minors is impossible without coordinated actions of federal and regional authorities. …”
Get full text

Real-Time Energy Management Strategy Based on Driver-Action-Impact MPC for Series Hybrid Electric Vehicles by Shumin Ruan, Yue Ma

“…The obtained future driving velocity is treated as the inputs of the real-time MPC module, which outputs the control variables to act on the underlying controllers of power components by solving a standard quadratic programming (QP) problem. Compared with the rule-based strategy, a 5.6% average reduction of fuel consumption is obtained. …”
Get full text

Reduced-Complexity Radio Architectures for Enhanced Receive Selection Combining in Multiuser Diversity Systems by Elpiniki P. Tsakalaki, Osama N. Alrabadi, Constantinos B. Papadias, Ramjee Prasad

“…The simulation results show that the proposed enhanced diversity combining systems improve the average throughput of a multiuser network outperforming classical antenna selection especially for small user populations and compact user terminal size.…”
Get full text

Congestion control strategy of VANET channel based on load prediction by Yang Ge, Zhu Yonghao

“…In the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle network channel load is designed. …”
Get full text

A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost by Jawaria Nasir, Muhammad Aamir, Soofia Iftikhar, A. B. Albidah, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan, Wei Sin Koh

“…Besides the volatility problem, the solution provided by the work also addresses the overfitting problem of neural networks. …”
Get full text

Intelligent recognition method for personnel intrusion hazardous area in fully mechanized mining face by Qinghua MAO, Jiao ZHAI, Xin HU, Yinan SU, Xusheng XUE

“…To address the problem of low accuracy of personnel recognition in fully mechanized mining face, the RFAConv-SE (Squeeze-and-Excitation with Receptive-Field Attention Convolution) and CCNet (Criss-Cross Attention Network) attention modules are introduced on the basis of the YOLOv8s model to improve the capture ability of the model for global and contextual information in complex background images. …”
Get full text

Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Base... by Shaima Dammas, Tillman Weyde, Katy Tapper, Gerasimos Spanakis, Anne Roefs, Emmanuel M Pothos

“…Feed forward neural network showed a very marginal advantage. …”
Get full text

Robot multi-target high performance grasping detection based on random sub-path fusion by Bin Zhao, Lianjun Chang, Chengdong Wu, Zhenyu Liu

“…Abstract To address the challenge of grasping multi-target objects with uncertain shape, attitude, scale, and stacking, this study proposes a high-performance planar pixel-level grasping network called random sub-path grasp fusion network (RSPFG-Net). …”
Get full text

Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos by Guanghong Deng, Liangpei Lin, Baihao Lin, Wenlong Jing, Xiaodan Zhao, Yong Li, Rui Yang, Shidun Xie, Pengfeng Wei

“…Third, License Plate Recognition Network (LPRNet) is used to recognize digital meter images. …”
Get full text

Differences of interference myogram patterns from forearm muscles at different variants of the hand grip by E. A. Eliseichev, A. A. Tyaptin, R. M. Zhilin, P. S. Vorobyev, I. S. Blinov

“…One of the solutions to this problem is to use an array of more sensors to recognize different grips using a neural network.Aim. …”
Get full text

A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…Subsequently, the Gated Recurrent Unit (GRU) network utilizes data from other sensors to reconstruct the IMFs and residuals, ultimately producing the data reconstruction results. …”
Get full text

Research on Simulation and Dynamic Pressure Prediction of Pipeline Transient Conditions Based on Fluent and Deep Learning by Liu Feiyan, Lv Mou, Dong Shen, Li Hang, Lu Chenggang

“…The study of pressure change characteristics under failure conditions of pipeline sections, such as pipe burst and leakage loss, is of great significance to the safety of urban water supply network and leakage prevention and control. At present, most of the related technical research is based on the steady-state hydraulic model, which has low accuracy and cannot accurately obtain the transient law of water flow in the pipeline under the failure conditions. …”
Get full text

Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…Abstract This paper proposes a cross-domain intelligent traffic signal control method based on federated Proximal-Policy Optimization (PPO) for distributed joint training of agents across domains for typical intersections, aiming at solving the problems of slow learning speed and poor model generalization when deep reinforcement learning (RL) is applied to cross-domain multi-intersection traffic signal optimization control. …”
Get full text

Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images by Thanh-Ha Do, Son-The Phan, Duc-Tien Du, Dinh-Quan Dang, Khanh-Hung Mai, Lars R. Hole

“…The proposed MHKD can help reduce the over-estimate rate for the TD grade and under-estimate rates for TS and STS grades, and most notably, the TC center localization yielded an average error of approximately 34 km with a single keypoint or one head attention network (One ATTN) and around 27 km when using three head attention network (Three ATTN).…”
Get full text