Liang Gu
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View article: THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON EMPLOYEE PERFORMANCE IN THE CADRE TRAINING AND CONFERENCE CENTER (HOTEL) IN XICHENG DISTRICT, BEIJING
THE IMPACT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON EMPLOYEE PERFORMANCE IN THE CADRE TRAINING AND CONFERENCE CENTER (HOTEL) IN XICHENG DISTRICT, BEIJING Open
Purpose – The purpose of this study is to examine the impact of human resource management practices on employee performance at the Cadre Training and Conference Center (Hotel) in Xicheng District, Beijing. The unique challenges of HRM in t…
View article: Bond sensitive graph neural networks for predicting high temperature superconductors
Bond sensitive graph neural networks for predicting high temperature superconductors Open
Finding high temperature superconductors (HTS) has been a continuing challenge due to the difficulty in predicting the transition temperature ( T c ) of superconductors. Recently, the efficiency of predicting T c has been greatly improved …
View article: RBF-Based Fractional-Order SMC Fault-Tolerant Controller for a Nonlinear Active Suspension
RBF-Based Fractional-Order SMC Fault-Tolerant Controller for a Nonlinear Active Suspension Open
Active suspension control technologies have become increasingly significant in improving suspension performance for driving stability and comfort. An RBF-based fractional-order SMC fault-tolerant controller is developed in this research to…
View article: Integrated Active Suspension and Anti-Lock Braking Control for Four-Wheel-Independent-Drive Electric Vehicles
Integrated Active Suspension and Anti-Lock Braking Control for Four-Wheel-Independent-Drive Electric Vehicles Open
This paper presents an integrated control scheme for enhancing the ride comfort and handling performance of a four-wheel-independent-drive electric vehicle through the coordination of active suspension system (ASS) and anti-lock braking sy…
View article: Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network
Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network Open
A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, high overall load rate, and large transi…
View article: Adaptive PID Controller for Active Suspension Using Radial Basis Function Neural Networks
Adaptive PID Controller for Active Suspension Using Radial Basis Function Neural Networks Open
Suspension systems are critical parts of modern cars. In this study, a radial basis function neural networks-based adaptive PID optimal method is presented for vehicle suspension systems. To avoid the shortcoming that the parameters of PID…
View article: A Study on the Dynamic Characteristics of Willingness to Communicate—Student Clustering Analysis Based on EM Algorithm
A Study on the Dynamic Characteristics of Willingness to Communicate—Student Clustering Analysis Based on EM Algorithm Open
Based on the complex dynamical systems theory, this study used the EM iterative algorithm in order to study the willingness to communicate of second language learners from a dynamic perspective.The students are assigned to a certain cluste…
View article: Identification method of raindrops and hailstones based on digital holographic interference
Identification method of raindrops and hailstones based on digital holographic interference Open
The identification of raindrops and hailstones is of great significance to the study of precipitation characteristics from the aspect of microphysics and can provide important data support for weather modification. In this paper, an identi…
View article: Searching High Temperature Superconductors with the assistance of Graph Neural Networks
Searching High Temperature Superconductors with the assistance of Graph Neural Networks Open
Predicting high temperature superconductors has long been a great challenge. A major difficulty is how to predict the transition temperature Tc of superconductors. Recently, progress in material informatics has led to a number of machine l…
View article: Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension
Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension Open
In this paper, a hybrid particle swarm optimization genetic algorithm LQR controller is used on a quarter car model with an active suspension system. The proposed control algorithm is utilized to overcome the shortcoming that the weight ma…
View article: Relationship between Corona Discharge Thrust and Applied Voltage’s Polarity
Relationship between Corona Discharge Thrust and Applied Voltage’s Polarity Open
The thrust from corona discharge might be a promising propulsion technology in future aviation due to its advantage of not requiring mechanical moving parts. Although the thrust from corona discharge has been researched by many scholars, t…
View article: RBF Neural Network-based Adaptive PID Controller for Active Suspension
RBF Neural Network-based Adaptive PID Controller for Active Suspension Open
Active suspension plays a pivotal role in modern vehicles. In this paper, an adaptive PID controller of active suspension systems based on RBF neural network (RBF-NN) is developed. A quarter-car suspension system with two degrees of freedo…
View article: Prediction of English Major Training Model in Higher Vocational Education Based on Fuzzy Neural Network Algorithm
Prediction of English Major Training Model in Higher Vocational Education Based on Fuzzy Neural Network Algorithm Open
The prediction of English major training model in Higher Vocational Education Based on fuzzy neural network algorithm is the process of using a neural network to predict the future.The main function of this method is to analyze and underst…
View article: Vertical-Longitudinal Coupling Effect Investigation and System Optimization for a Suspension-In-Wheel-Motor System in Electric Vehicle Applications
Vertical-Longitudinal Coupling Effect Investigation and System Optimization for a Suspension-In-Wheel-Motor System in Electric Vehicle Applications Open
In-wheel-motor-drive electric vehicles have attracted enormous attention due to its potentials of improving vehicle performance and safety. Road surface roughness results in forced vibration of in-wheel-motor (IWM) and thus aggravates the …
View article: An Integrated Vibration Elimination System with Mechanical-Electrical-Magnetic Coupling Effects for In-Wheel-Motor-Driven Electric Vehicles
An Integrated Vibration Elimination System with Mechanical-Electrical-Magnetic Coupling Effects for In-Wheel-Motor-Driven Electric Vehicles Open
This study aims to improve the vehicle vertical dynamics performance in the sprung and unsprung state for in-wheel-motor-driven electric vehicles (IWMD EVs) while considering the unbalanced electric magnetic force effects. An integrated vi…
View article: A Deep Learning-Based Model for Classifying Malicious Network Traffic
A Deep Learning-Based Model for Classifying Malicious Network Traffic Open
Network traffic, as a carrier of information transmission and interaction, portrays the behavior trajectory of users and functions as an important approach to detect network attacks and analyze network anomalies. To address the problems su…
View article: Traffic Clustering Method Based on Adaptive Density Grid
Traffic Clustering Method Based on Adaptive Density Grid Open
At present, the scale of internal network of some enterprises is expanding with the development of enterprises. The terminal of enterprises is becoming more and more diversified in terms of the number of types and the scope of application.…
View article: In-Wheel Motor Vibration Control for Distributed-Driven Electric Vehicles: A Review
In-Wheel Motor Vibration Control for Distributed-Driven Electric Vehicles: A Review Open
Efficient, safe, and comfortable electric vehicles (EVs) are essential for the creation of a sustainable transport system. Distributed-driven EVs, which often use in-wheel motors (IWMs), have many benefits with respect to size (compactness…
View article: Comparative simulation study on two estimation methods and two control strategies for semi-active suspension
Comparative simulation study on two estimation methods and two control strategies for semi-active suspension Open
With regard to the structural characteristics of the McPherson suspension system, when a vehicle is being driven on a rough road surface, the force direction of the suspension varies. This poses challenges to the vehicle’s driving safety a…
View article: EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture
EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture Open
Resistive Random Access Memory (ReRAM) is promising to be employed as high density storage-class memory due to its crossbar array and Triple-Level Cell (TLC) structures. However, TLC crossbar ReRAM suffers from high write latency and energ…
View article: Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems
Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems Open
Current studies have achieved energy savings of vehicle subsystems through various control strategies, but these control strategies lack a benchmark to measure whether these energy savings are sufficient. This work proposes a control desig…
View article: Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles
Considering Well-to-Wheels Analysis in Control Design: Regenerative Suspension Helps to Reduce Greenhouse Gas Emissions from Battery Electric Vehicles Open
Recent research has investigated the energy saving potential of regenerative suspension. However, the greenhouse gas (GHG) emission mitigation potential of regenerative suspension in battery electric vehicles (BEVs) has not been considered…
View article: Data for: Online secondary path modeling for active sound quality control systems
Data for: Online secondary path modeling for active sound quality control systems Open
The dataset include the samples of sound with the different controls strategies implemented in stationary and non-stationary conditions. "eccsc.mat" and "eccsp.mat" are stationary sound with conventional algorithm and proposed algorithm, r…
View article: Road profile estimation for suspension system based on the minimum model error criterion combined with a Kalman filter
Road profile estimation for suspension system based on the minimum model error criterion combined with a Kalman filter Open
This paper presents a novel approach for improving the estimation accuracy of the road profile for a vehicle suspension system. To meet the requirements of road profile estimation for road management and reproduction of system excitation, …
View article: Influence of Road Excitation and Steering Wheel Input on Vehicle System Dynamic Responses
Influence of Road Excitation and Steering Wheel Input on Vehicle System Dynamic Responses Open
Considering the importance of increasing driving safety, the study of safety is a popular and critical topic of research in the vehicle industry. Vehicle roll behavior with sudden steering input is a main source of untripped rollover. Howe…
View article: Numerical analysis of a dual-chamber hydro-pneumatic suspension using nonlinear vibration theory and fractional calculus
Numerical analysis of a dual-chamber hydro-pneumatic suspension using nonlinear vibration theory and fractional calculus Open
A dual-chamber hydro-pneumatic suspension, a modified version of the traditional hydro-pneumatic suspension, can provide enhanced isolation performance. In this article, we use two very different theories, nonlinear vibration theory and fr…