bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and Exploration of Virtual Simulation Experimental Teaching Platform for Network Security and Computer Technology
Authors: Zhang Jin 
Published: January 2022

Abstract
Today, with the arrival of informatization, the application of education informatization in the field of education and teaching and the management process is being gradually deepened. The application mode has effectively promoted the profound reform of education mode, teaching methods and learning mode. The main content of the construction of higher education informatization and experimental teaching demonstration center is to establish a virtual simulation experimental teaching center, which has had a positive and important impact on the improvement of higher education quality and the deepening of experimental teaching reform. Virtual simulation technology uses a variety of emerging science and technologies to make otherwise challenging and dangerous experiments simple. According to the main characteristics of virtual simulation teaching, we discusses the application of virtual simulation teaching in computer network teaching and proposes corresponding suggestions for relevant problems.
Three-Layers Model of Pedestrian in 2D Complex Space
Authors: Zhang Fa 
Published: January 2022

Abstract
Walking is the basic way of human movement. How to model pedestrian in complex space is a challenge. Various models such as social force and cellular automaton have been proposed. These models can reproduce some macroscopic characteristics of pedestrian, but are not very effective in complex space. This paper proposes a pedestrian model framework, including mental-planning-moving three layers. The mental layer depicts the mental state of pedestrians, selects the movement mode, destination, and speed. The planning layer performs route planning and determines the sequence of temporary target points. The moving layer could embed social force model to realize physical movement. The framework can introduce incomplete information and uncertainty, which makes the pedestrian’s decision-making probabilistic, and the trajectory has a certain degree of randomness. A pedestrian simulation software has been developed, and multiple simulation experiments have been performed in a complex two-dimensional space. The results show that the model can describe the pedestrian in a complex space realistically.
Feasibility analysis and Research on Intelligent trusted modeling of network architecture software
Authors: Wang Kui 
Published: January 2022

Abstract
Mesh software is a new software form for network environment, and its construction relies on effective collaboration among software entities of network nodes in open, dynamic and changeable environments. According to the open, dynamic and changeable characteristics of network configuration software, this paper designs a software structure model of trusted network monitoring based on the model, with the network configuration software running at any time according to the related factors of network node state dynamic evaluation of internet ware credibility, and according to the monitoring results to improve the network configuration software and monitoring parameters provide support for dynamic, trusted Internet ware, and gradually improve the credibility of network configuration software.
Flutter Suppression of Wind Turbine Blade Based on RBF Neural Network Compensation Backstepping Control
Authors: Sun Changle , Wang Zhiyuan , Wang Yingbo , Sun Haipeng , Liu Tingrui 
Published: January 2022

Abstract
Aiming at the critical flutter problem of wind turbine blades, which is between classical flutter and stall flutter, a flutter suppression scheme based on radial basis function (RBF) neural network friction compensation backstepping is presented. The structure model is based on the typical 2D section of bending and twist model of spring-mass-damper, and the rotor variable exciter second-order model with friction disturbance is incorporated to control the rotor variable blade. A modified quasi - steady - state aerodynamic model was used for aerodynamics actuation. RBF compensation backstepping control scheme is a block-controlled backstepping controller designed based on the stability theorem of Lyapunov function, which approximates the frictional interference with nonlinear characteristics through RBF network, and cancels the friction existing in the actuator of variable rotor. Four wind speed environments were selected to analyze the response of blades under different wind speeds, and the flutter suppression effects under two wind speeds were selected to verify the ability of RBF network to approach the nonlinear function. The results show that the RBF backstepping control scheme can improve the robustness to suppress the critical flutter problem of wind turbine blades.
Crankshaft-Bearing Assembly Based on Vision-Guided and Attractive Regions in the Environment
Authors: Zhu Wenjun , Feng Haida , Zhang Mengyi , Yi Yang 
Published: January 2022

Abstract
Aiming at the problem of sensor-less high-precision manipulation, this paper designs and constructs a crankshaft-bearing assembly system based on vision-guided and attractive region in environment. A pre-analysis and evaluation of the attitude measurement accuracy method is proposed to describe the trusted region of the current assembly pose through vision. Then its high-dimensional attractive regions of environment constraints is constructed based on the mechanical constraints between the assembly object and the assembly position. Combine the complementary advantages of vision and mechanical information, a robot adjust its pose to a high precision manipulation pose. A platform of an industrial robot with a vision system is built and experiments on the crankshaft and bearing are successfully assembled. It is validated that using the proposed the vision-guided and attraction region in environment system, high precision assembly manipulation is realized.
Application Research on Key Points of Software Security Development Technology
Authors: Zhou He 
Published: January 2022

Abstract
With the rapid development of network technology, software security has attracted more and more attention. Based on the software security lifecycle presents an improved suitable for small and medium-sized enterprise software security development process, make the software safety to cover the whole software life cycle, improve the level of safety of encoding software. The model used in the software development phase, test phase and release phase three software security key technologies are studied and discussed in detail. In addition, it also designed a software security development management platform, the software development process so that the model can better apply to the actual enterprise to the platform. After a number of units for a period of time of trial, get a better evaluation of the households.
Research on the Development and Application of Parallel Programming Technology in Heterogeneous Systems
Authors: Wu Linghong 
Published: January 2022

Abstract
In recent years, with the continuous improvement of high performance computing hardware platform,the application of high performance for a wide range of high-performance, traditional parallel programming environment tools cannot meet the growing demand for high-performance applications and the face of parallel software development environment in a relatively backward state. The heterogeneous system of the new coprocessor with a high performance and power ratio can have high performance computing needs to provide the task to accelerate. As a result, heterogeneous systems are becoming a new trend in high performance computing. However, with the introduction of the new coprocessor and the expansion of the system scale, heterogeneous systems are difficult to program the problem is also increasingly prominent. In view of this problem, this paper adopts the abstract technology to enhance the granularity of parallel programming, and designs a structured parallel programming prototype system which can achieve different levels of implicit parallelism
Research on Factors Influencing Tensile Property in CGHAZ of DP780 Steel
Authors: Xu Dongqin , Guo Yonghuan , Yan Tian , Yang Qin , Li Lulu , Fan Xiying 
Published: January 2022

Abstract
Tensile property of coarse grain heat affected zone(CGHAZ)is one of the important mechanical property of DP780 cold-rolled dual phase steel, and factors influencing tensile property of CGHAZ include peak temperature, heating rate and cooling rate. Based on response surface method (RSM), two response surfaces models were established. By using Design-Expert software, three factors were combined in pairs. Analysis of variance (ANOVA) was performed on the response surface models. The results showed that tensile property of DP780 was influenced by peak temperature most, then cooling rate, and heating rate made the least influence.
Nonlinear Stall Flutter Suppression of Wind Turbine Blade Based on LMI Method
Authors: Zhang Xiaolin , Sun Haipeng , Wang Yingbo , Li Shanyao , Sun Changle , Liu Tingrui 
Published: January 2022

Abstract
Aiming at the failure of stall flutter in aeroelastic system of wind turbine blade, the active control process of stall flutter based on linear matrix inequality (LMI) design is described. The structural model is a typical blade section model based on spring-mass-damper, and the aerodynamic force is the ONERA stall aerodynamic model suitable for pure pitch motion. Based on the state variables, the nonlinear aeroelastic equations are expanded by Taylor series and linearized by low order approximation. The state feedback gain is calculated through LMI, and the time domain response stability analysis and stall flutter suppression method based on linearization are studied. The simulation results show that the maximum amplitude is greatly reduced after flutter control, and the system can be stabilized in a short time.
Variable Pitch Control of Wind Turbine Based on Fuzzy Feedforward and Feedback Linearization Sliding Mode
Authors: Sun Haipeng , Zhang Xiaolin , Wang Yingbo , Li Shanyao , Sun Changle , Liu Tingrui 
Published: January 2022

Abstract
When the wind turbine operates above the rated wind speed, the pitch angle is usually adjusted to make the output power stable at the rated value. As the traditional linear controller is difficult to achieve better control effect for the large inertia and strong nonlinear wind power generation system, a variable pitch control method combining fuzzy feedforward and feedback linearization sliding mode is proposed in this study. Firstly, the nonlinear wind power model is globally linearized by input/output feedback linearization, and then the feedback controller is designed by combining with sliding mode control. The fuzzy feedforward controller can give the appropriate pitch angle according to the change of wind speed and realize dynamic feedforward compensation. The simulation results show that the proposed control method can make the output power of the wind turbine stable, and has better control accuracy and robustness.
Online Performance Monitoring of Processes Subject to Non-stationary Stochastic Disturbance
Authors: Li Yichao , Huang Chunqing 
Published: January 2022

Abstract
Since non-stationary disturbances are common in practical situation due to the varying stochastic disturbance or some deterministic disturbance injected, the traditional algorithm based on FCOR is not valid anymore. This paper develop a new approach, which combines EMD method with FCOR algorithm, to handle this problem such that the minimum variance (MV) performance of the closed-loop system can be monitored online. In the presence of varying stochastic disturbance and step/sine disturbance, the numerical example demonstrates the effectiveness of the proposed algorithm.
Theoretical Investigation of Particles Manipulation in Fluids Using Acoustic Technique in a Microfluidic Channel
Authors: Yang Yi , Liu Min 
Published: January 2022

Abstract
The present work is focused on discussing standing acoustic wave-based particles separation in PMMA microfluidic channel at tilted angle. A theoretical model is developed to describe the interaction of the particles at different sizes under an acoustic pressure with tilted angles. Tilted angle, acoustic pressure, acoustic wavelength, flow velocity and buffer solution viscosity are as key parameters to be investigated. It is demonstrated that these parameters can affect the particle motion in microfluidic channel, which play the important roles in particle separation. It’s shown the vital criteria of the microfluidic chip design for specific applications.
An Evaluation Method of Vehicle Functional Safety Controllability Based on Driver-in-the-Loop Platform
Authors: Liu Ronghuang , Lu Ke , Zhu Yuan , Wu Zhihong 
Published: January 2022

Abstract
Existing vehicle functional safety controllability evaluation methods are difficult to implement in practice and lack quantitative evaluation basis. In this paper, we propose a simulation-based scenario evaluation method, which can achieve verifiable, quantitative, and generalized functional safety controllability evaluation. The method focuses on the driver’s reaction model. By analyzing the driver’s behavior in emergency braking scenarios, we propose the “remaining collision distance” metrics as the controllability criterion. To investigate the reaction time of drivers in different emergencies, we experimented in a driver-in-the-loop platform and classified the scenario factors that might affect controllability. The results show that our method is feasible to evaluate the controllability of vehicle-functional safety in emergency braking scenarios.
Aerostat Airbag Damage Detection Based on VMD Decomposition and GenSVM
Authors: Wang Mei , Chen Zhipeng , Wang Pingan , Zhu Haiping , Fan Liangzhi 
Published: January 2022

Abstract
The capsule of the buoy is usually woven with composite materials. The existence of material anisotropy makes it difficult to establish the degradation mechanism model of the capsule, which affects the defect detection and health management of the capsule. To this end, this paper proposes a data-driven airbag defect detection method based on stress wave measurement. Firstly, strain signals under acoustic excitation are collected by sticking strain gauges on the surface of the capsule. Then, VMD is used to decompose the signal and extract the energy characteristics of each modal signal component to construct the feature vector. Finally, the feature vector is input into the GenSVM model for defect type recognition. The example analysis shows the effectiveness and applicability of the proposed method.
Research on Trusted Access of Ubiquitous Power Internet of Things Terminal Based on Hyperledger
Authors: Chen Liandong , Cheng Kai , Zhao Conglin , Li Gang , Wang Xinying 
Published: January 2022

Abstract
The secure access of terminals is an important problem that hinders the construction of ubiquitous power Internet of things. This paper analyzes the requirements and problems of ubiquitous power Internet of things terminal access, introduces the alliance chain framework of blockchain technology, selects super Ledger as the basic framework, and introduces it into the ubiquitous power Internet of things terminal access authentication scheme, and proposes a trusted access scheme of ubiquitous power Internet of things terminal based on Super ledger. Firstly, based on the framework of fabric project in hyperledger, the terminal access framework based on Hyperledger is designed, and the overall framework is mapped into a classic five layer structure of blockchain for functional design. Then, the terminal access process is divided into two stages: terminal access and identity authentication to achieve the authority control and identity authentication of the terminal and ensure the safe access of the terminal. Finally, the feasibility of the proposed scheme is verified by comparing with the traditional scheme through simulation experiments.
Operational Effectiveness Evaluation of EW Equipment System Based on Framework Design
Authors: Ren Mingqiu , Leng Yi , Zhang Le 
Published: January 2022

Abstract
The currently used evaluating method has such problems as complex evaluation index space, complexity of computation, low evaluation efficiency, and low systematicness and intellectualization, which is difficult to meet the requirements of operational effectiveness evaluation for ECM equipment. In order to guarantee the efficiency and accuracy of operational effectiveness evaluation, an integrated and systematic evaluation method was provided based on multi-views system’s simulation model architecture, which can show the actual frameworks of equipment system for evaluation, we describe the element, structure, operational process and index system in a standardized manner. Furthermore, a framework of Flexible-intelligent Evaluation towards Combat-capability Space in System-of-systems (FECSS) was proposed. The FECSS method builds a bi-directional mapping relation between the upper and low operational effectiveness indicators by basic indicators-formed space in system-of-systems which combined the complex evaluation index, evaluation process with intelligent evaluation model. The proposed method can effectively analysis the effectiveness results in condition of different types and numbers of equipment. It also makes the electronic countermeasure equipment project demonstration and operational application more feasibly and practically.
Improvement Strategy for Voltage Quality of Microgrid Based on Master-Slave Control
Authors: Li Shijun , Gu Jinjie , Li Biao 
Published: January 2022

Abstract
Due to the nonlinear and unbalanced load of micro-grid, the output voltage quality on the main inverter side is easily affected in the micro-grid based on Master-Slave control.So, this paper put up a strategy that compensating the harmonic current and negative-sequence current by subordinate inverter. This strategy makes the current that flow through main inverter only have fundamental positive sequence component, so as to achieve the aim of improving the quality of the output voltage. Finally, the simulation model is built in the PSCAD simulation environment, which shows the effectiveness of the strategy.
Multi-protocol Integration and Intercommunication Technology Based on OPC UA and MQTT
Authors: Wang Zhen , Han Dantao , Gong Yanjie , Zhao Yanling 
Published: January 2022

Abstract
OPC UA and MQTT are widely recognized key technologies for realizing the interconnection and intercommunication of industrial equipment as well as data transmission to the cloud. Based on OPC UA and MQTT, this paper presents a new method to solve the problem of multiple protocols coexistence and information islands in industry. Using the unified name ID to create mappings between OPC UA, MQTT and data acquisition drive, a shared database as data consistency communication medium to support concurrent data reading and writing of OPC UA and MQTT, a data acquisition drive as trigger to realize OPC UA and MQTT data synchronization update. Thus the difficulties of multi-protocol device integration and intercommunication and data uploading to the cloud can be tackled.
An Inverse Solution Algorithm for Industrial Robot
Authors: Wang Peng , Zhou Yiren , Yan Nan 
Published: January 2022

Abstract
The inverse solution process of industrial robot is complex. Because the traditional matrix algorithm involves a lot of matrix operation, its process is complex. Numerical algorithms usually do not yield all the solutions, generally, the selection of initial value and the search algorithm have great influence on the convergence and accuracy. The geometric algorithms is simple and intuitionistic with simple expression and small computation. In this paper, a hybrid algorithm combining the geometric method and the inverse transformation matrix method is proposed for puma 560 industrial robots. The geometric algorithms is used to solve the first three joints and the matrix algorithm is used to obtain the final three joint angles. This paper introduces the inverse solution algorithm for this kind of robot in detail, and verifies the effectiveness of the proposed algorithm through matlab simulation.
SNR Classification Based Multi-Estimator IRM Speech Enhancement Algorithm
Authors: Li Xinqiang , Wang Xingmian , Qin Yanan , Li Jing 
Published: January 2022

Abstract
Deep neural network(DNN)-based ideal ratio mask(IRM) estimation methods are often adopted in speech enhancement tasks. In the previous work, IRM estimation was usually realized by a single DNN-based IRM estimator without considering the SNR levels, which had a limited performance in real applications. Therefore, a two stage speech enhancement method is proposed in this paper. Firstly, a DNN-based SNR classifier is employed to classify the speech frames into three classes according to different SNR thresholds. Secondly, three corresponding DNN based IRM estimators related to the three SNR classes are trained respectively, from which the amplitude spectrum is corrected. Finally, speech enhancement is realized by doing IDFT to the corrected speech spectrum combined with the phase information of noisy speech. Experiment results show that the algorithm proposed in this paper has better performances in the evaluation of short time objective intelligibility(STOI), perceptual evaluation of speech quality(PESQ) and segmental signal-to-noise ratio improvement(SSNRI) scores.
A Trust Index-Based Adaptive Kriging Method for the Cooling Fan Optimization
Authors: Lu Li , Wu Yizhong , Xia Zhehao , Zhang Qi 
Published: January 2022

Abstract
In the cooling fan optimization, there are many local minima near the optima, which improves the accuracy requirement of the Kriging model. Due to unexpected prediction errors caused by some deceptive samples, the model exploration capability of the traditional method is not enough. To overcome this problem, an adaptive Kriging method based on the trust index is proposed in this paper. By considering the sample distribution and region nonlinearity, the trust index is used to evaluate the reliability of the samples, which can enhance the sampling strategy for new candidates. Several classic test functions with many local minima are employed to verify the effectiveness of the proposed method. Further, the method is used to optimize the cooling fan, and the simulation result shows that the performance of the optimization objective is significantly increased.
Research on Bearing Fault Diagnosis Method under Variable Operating Conditions Based on MWDCNN
Authors: Kong Lifan , Wang Taiyong , Wang Peng , Zhou Yiren 
Published: January 2022

Abstract
Aiming at the problem that the current convolutional neural network model cannot adaptively learn more effective features, which leads to the low accuracy of bearing fault diagnosis under unknown operating conditions, a multi-scale weight distribution convolutional neural network model is proposed. The model is composed of three parts: feature extraction layer, multi-scale feature connection layer and classification layer. The weight distribution mechanism is introduced in the feature extraction layer. In order to verify the feasibility of the model, experiments were carried out using the Case Western Reserve University (CWRU) data set, which proved that the model can effectively extract features under variable operating conditions and has good fault recognition capabilities.