bluuebunny/crossref_metadata_2025 huggingface dataset:
Agile Modeling and Simulation Technology of Heterogeneous Systems Based on Meta-model Modeling Method
Authors: Liu Yunfei , Ma Tao
Published: January 2022

Modeling and simulation of heterogeneous systems are faced with the problems of long modeling and simulation cycle, complex and changeable modeling fields and complex domain knowledge. In order to support the requirements analysis and initial design of the system, build the system model as the only authoritative truth source throughout the whole life cycle, and quantitatively characterize the requirements, functions, structure and performance of the system, this paper proposes an agile modeling and simulation technology for heterogeneous systems based on the meta-model modeling method, and on this basis, constructs an agile modeling and simulation system framework for heterogeneous systems.
Mathematical Model of the Integrated Filtering Reactor Windings Transformer
Authors: Li Shijun , Yang Jiayi , Wu Fumei , Luo Longfu , Liao Wendi , Xiang Jinwen
Published: January 2022

The integrated filtering reactor windings transformer is designed by a special winding arrangement design scheme. The air-core reactors of the harmonic filtering devices are integrated as the transformer windings in the transformer.so as to reduce the number of the equipments and covering area, The harmonic model of this kind of winding have been shown in this paper, and the harmonic current of each winding are deduced on the basis of the self-inductance and mutual-inductance voltage equation of multi-winding transformers. At last, this paper took a 300 KVA integrated filtering reactor winding rectifier transformer prototype as the experimental object to verify the correctness of the mathematical model.
Construction and Exploration of Virtual Simulation Experimental Teaching Platform for Network Security and Computer Technology
Authors: Zhang Jin
Published: January 2022

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Dynamic Simulation and Analysis of Engagement Process for Logarithmic Spiral Bevel Gear Based on Accurate 3D Model
Authors: Xiao Yang , Hou Shengyu , Dai Shuling , Xu Xinfeng , Zhang Jie
Published: January 2022

Based on the accurate 3D model of logarithmic spiral bevel gear, the operation of spiral cone gear engagement is analyzed and simulated by ANSYS. Through the nonlinear static contact analysis of different positions, the stress change rule and the maximum contact stress is obtained. Compared with the theoretical contact stress strength rule, this paper also analyzes the dynamic operation situation of the gear pairs, obtains the dynamic contact situation rule at different engagement times and different rotating speeds, the influence of the rotating speed on the gear contact characteristics is compared too. The static, dynamic performance and change rules of the gear engagement is obtained, which lay a solid foundation for the further research, design and manufacture of spiral bevel gears.
Simulation Research on Automatic Compensation Technology of ADN Based on Neutral Point Active Compensation
Authors: Chen Qihao , Chen Li’an
Published: January 2022

When the single-phase grounding fault occurs in the distribution network, the neutral point via the arc suppression coil grounding mode can effectively reduce the fault current and realize the self-extinguishing arc. However, as a large number of distributed generator and power electronic devices are connected to the distribution network, the structure of the network becomes more and more complex. In order to effectively reduce the fault current, the 10 kV active distribution network (ADN) was taken as the research object for simulation in this paper, and the support vector machines (SVM) algorithm were used for training by extracting the fault components, the neutral compensated current components and so on as eigenvalues. Used the controller to judge the system compensation state and complete the automatic compensation. The results show that under ideal conditions, the judgment time of the algorithm is 0.32 ms. And the algorithm can quickly respond to the fault component, improve the response speed and reduce the damage to electrical equipments.
Optimization Method of Overall Parameters of Dual Pulse Missile Based on Surrogate Model
Authors: Cui Shenghui , Zhang Shifeng , Bai Xibin
Published: January 2022

In this paper, the optimization method of missile overall parameters design based on surrogate model and the trajectory simulation system of three degree of freedom(3-DOF) dual pulse missile are established. An adaptive sampling point update method including three stages of potential feasible region location sampling, exploration sampling and potential optimal sampling is established. The adaptive sampling is realized through the constraint of distance. The convergence end criterion is established based on the accuracy of surrogate model, which can achieve efficient and reliable global optimization. By deriving the objective function of the optimization problem, the minimum take-off mass is determined, and reasonable constraints are set to ensure the speed and range requirements of the missile. The optimization algorithm based on surrogate model solves the problem of overall parameter design optimization of dual pulse missile and summarizes it.
Research on Chain Fault Prevention Model Considering Voltage Stability
Authors: Deng Huiqiong , Chen Xinyun
Published: January 2022

In this paper, we aim to prevent and control the chain tripping phenomenon in the pre-chain fault stage of the power grid, and use the L index and node injection power as the safety index to indicate the voltage stability of the power grid and the safety level of the current operation state of the power grid by adjusting the power output of the generating units. Based on this index and considering the various constraints of the grid, a preventive model is given to make the grid have the highest possible safety level against chain tripping and at the same time improve the voltage stability. In this paper, the prevention model is established based on the particle swarm algorithm, and the simulation results prove the feasibility and effectiveness of the proposed prevention model on the IEEE39 node system.
Research on Modelling Method of Natural Illuminance Based on RBFNN
Authors: Zhang Yujie , Guo Jing
Published: January 2022

Aiming at the problem that the indoor natural illuminance is difficult to calculate accurately due to many complex factors in the environment. This paper proposes a method to establish the natural illuminance model by using radial basis function neural network (RBFNN). The RBFNN was trained by collecting indoor natural light data to obtain the benchmark model for calculating the natural illuminance distribution. The illuminance sensor arranged indoors was used to measure the real-time natural illuminance, and the output of the benchmark model was modified accordingly, so as to obtained a model that could calculate the real-time natural illuminance at any point in the room. The experimental results show that the maximum normalized error between the calculated and measured illuminance values of the model in this paper is no more than 15%, and the error of most test data is less than 8%, which solves the problem of accurate calculation of indoor natural illuminance, so as to provide support for indoor lighting control system.
Modeling and Simulation Analysis of the Temperature Field of High Speed Missile Cabin
Authors: Yi Long , Li Yuliang , Ouyang Jindong , Zhu Liyuan , Zhang Yaoqing
Published: January 2022

A temperature field analysis method is developed for the cabin of high-speed missile. The high fidelity three-dimensional model of the thermal protection system is build based on the finite element method, including structure and equipments inside the cabin. The model can express the heat conduction path, radiation relationship and the heat capacity of the equipment. The aero-heating and heat transfer are solved simultaneously. The convection coefficient relevant to experiment is used to simulate the heat transfer of the gas in the cabin. It can be used to large-scale engineering calculation for the thermal protection system of high-speed aircraft. The numerical example of a head cabin for high-speed missile shows that the obvious regional characteristics of the surface temperature outside the cabin is presented, which reflects the coupling effect of aero-heating and cabin structure. The temperature of the equipment in the cabin rises due to radiation and convection heat transfer. Heat capacity of the equipment and natural convection in the gap have obvious influence on the rate and amount of temperature rising. The developed APDL command stream can integrate commercial software of CAD and CAE. It is suitable for large and complex engineering structure because of the advantages such as high computational efficiency and strong portability.
MD Simulation of the Laser Effects on Stopping for B+ Ion in Plasmas
Authors: Li Pengfei , Wang Guiqiu , Duan Yi , Yi He , Wang Jian , Wang Shixuan
Published: January 2022

In this work, the laser effects on the stopping for boron ion in plasmas are studied by molecular dynamics (MD) simulation. The expressions of the stopping power is derived based on the potential. The effects of different laser intensity, laser frequency, laser angle, plasma density and electron temperature on the stopping power of B+ ion are discussed. The results tell that the stopping power of B+ ion will decrease significantly with the increase of laser intensity, and the laser intensity has a strong modulation effect on the stopping power. On the other hand, when the included angle between the laser and the moving direction of boron ion is in the range of 0 to π / 2, the stopping power decreases gradually with the increase of the projectile angle. On the other hand, the influence of plasma parameters on the stopping power of boron ions is also very obvious. When other parameters are given, the increase of plasma temperature or the decrease of plasma density can decrease the value of stopping power.
A Strabismus Surgery Parameter Design Model with WGAN-GP Data Enhancement Method
Authors: Tang Renhao , Wang Wensi , Meng Qingyu , Liang Shuting , Miao Zequn , Guo Lili , Wang Lejin
Published: January 2022

The purpose of this paper is a machine learning model that could predict the strabismus surgery parameter through the data of patients as accurately as possible. A strabismus surgery parameter design model’s input is a Medical records and return is a surgical value. The Machine learning algorithms is difficult to get a desired result in this process because of the small amount and uneven distribution strabismus surgery data. This paper enhanced the data set through a WGAN-GP model to improve the performance of the LightGBM algorithm. The performance of model is increased from 69.32% to 84.52%.
Temperature Field Simulation and Structure Improvement of 12kV Switchgear
Authors: Zhao Yanjie , Chen Li’an , Qiao Rui
Published: January 2022

Aiming at the heating problem of 12kV switchgear, the model of its main circuit module was established and simplified. Then, the temperature field and airflow field were simulated by finite element analysis software ANSYS. Besides, the distribution of temperature and airflow in the circuit breaker room was analyzed respectively and the heat dissipation structure of the switchgear was improved. Finally, two axial fans were installed at the top of the switchgear and the ventilation hole was designed at the bottom. The simulation results showed that this method can accelerate the air convection and reduce the temperature rise effectively. With the continuous increase of distribution network capacity, switchgear would have overheating problem during the long-term operation. If this problem cannot be solved, it would affect its insulation performance and even cause safety accidents. This study provides a reference for the design of switchgear and solves its overheating problem.
Application of Linear Programming Modeling in Multiwave Missile Launch
Authors: Ou Qitong , Du Chenhong
Published: January 2022

Linear programming modeling is mainly concerned with solving the maximum or minimum value of a linear function under a group of linear constraints. It has been widely used in many subjects and fields. As an application example of linear programming, this paper decomposed two-wave salvo into three steps, used Floyd algorithm and 0-1 programming to complete the task allocation model, and used Dijkstra algorithm to carry out path planning for the subsequent transfer of missile vehicles, and designed the transfer path with the highest survival rate.
Numerical Simulation of Impact Resistance of Composite Honeycomb Sandwich Radome under High-Speed Impact
Authors: Shen Yang
Published: January 2022

In order to study the impact resistance and dynamic response of the composite honeycomb sandwich radome under high-speed bird impact, a simulation model of the bird impacting composite honeycomb sandwich radome with glass fiber reinforced composite (GFRP) panel and meta-aromatic polyphthalamide honeycomb (NOMEXR) core is established through the finite element simulation software LS-DYNA. The effects of thickness distribution of the upper and lower panels of the radome, and the layering angle of the upper panel on the impact resistance of the radome are studied. The research results show that the increase in the thickness distribution of the upper panel is a positive gain for impact resistance of the radome. Inserting some other angled layers in the orthogonal layer can improve the impact resistance of the honeycomb sandwich structure.
A Model for the T-shaped Beams with Straight Haunches for Uniformly Distributed Load
Authors: Luévanos-Rojas Arnulfo , López-Chavarría Sandra , Medina-Elizondo Manuel
Published: January 2022

This paper shows a model for the T-shaped beams with straight haunches under uniformly distributed load that considers shear and bending deformations to obtain the fixed-end moments, carry-over and stiffness factors, which is the main part of this investigation. The methodology used is the conjugate beam method to obtain the rotations in supports and by the superposition method is solved this problems type. The current model considers only the bending deformations, and some authors consider bending and shear deformations for some proportions that are shown in tables. A comparison among the proposed approach that considers shear and bending deformations against the current model that considers bending deformations only are presented in the tables and graphics. A significant advantage of this paper over any other document is that is not limited to certain dimensions or proportions, and it can also be used for TT-shaped or TTT-shaped beams, which is commonly applied in highway bridges.
Simulation and Analysis on the Influence of Diamond Blade Cutting Parameters of Grinding Wheel Dicing Saw
Authors: Ma Yan , Jiang Xingqiao , Cao Zhengdi , Liu Huang , Li Dongxu
Published: January 2022

In this paper, the cutting model of the dicing saw based on ANSYS simulation was established. Through coupling analysis, the force distribution and deformation of the cutting chip of the diamond grinding wheel cutter were simulated. The full-parameter solid modeling of the aerostatic spindle was carried out to analyze the influence of fixed cutter diameter, machining parameters and condition changes on spindle vibration. The blade thickness, whether to add coolant or not, and the influence of different spindle speed on spindle vibration were studied. The influence of different blade thickness on spindle vibration when the tool diameter is fixed is analyzed. The effect of different tool diameters matching different tool thicknesses on spindle vibration is discussed. Analyze the vibration of the spindle under different diameters. In the experiment, the spindle vibration was measured by changing the cutting parameters, and the root mean square value was used as the evaluation index to analyze the influence of the cutting parameters of the grinding wheel’s diamond blade. The vibration of different diameters and different spindle directions was analyzed. The experimental results show that the above analysis method is feasible within the allowable error range, which provides a powerful reference for the future theoretical research.
Simulation and Analysis of Characteristics on Type of Variable Cross-section Free Film Air Spring
Authors: Tang Chuanyin , Shen Tao , Pan Lv , Fan Shi
Published: January 2022

The stiffness formula of rolled ear variable cross-section air spring is obtained. Due to the strong nonlinear characteristics of the free-film air spring with variable cross section, the possible chaotic phenomena of the air spring are analyzed, and its behavior under deterministic excitation is explored, and simulation of the phase trajectory diagram and time history curve of the system under periodic motion and chaotic motion are obtained. The vehicle analysis model of variable section free film air suspension with rolled lug is established. According to the requirements of national standards, the simulation analysis of manipulation stability experiment is carried out, and the evaluation value of simulation results is obtained.
Research on Underground Space Application of Multi-storey Complex Structure Based on Agent-Base Continuous Model
Authors: Xu Desheng , Duanmu Xiangling , Li Yanfeng , Zhang Peng , Li Junmei
Published: January 2022

The fire emergency evacuation in a transfer station, with complicate structure and large number of passengers, is more difficult than that in a single subway station. A three-storey subway transfer station with cross type and island-side transfer form was selected as the research object. Through a field investigation, it was determined that there were 368 occupants should be evacuated in B3 platform and 212 people in B2 platform. And the proportion of adults attached 84%. An agent-based egress simulator was adopted to investigate the effect of different evacuation schemes. Results show that the optimal scheme is to change the arrival field for stair 1 and the stair 4 at the both ends of B3 platform to the concourse in B1 layer directly. In addition, fire curtains on B2 should land to an occupant height in the early stage of evacuation and then fall down to the floor after 240 s. It could improve the evacuation efficiency of the B2 and the B3 train fire, and the evacuation time is decreased by 110 s and 20 s respectively. This study would be helpful for safety evacuation design in a transfer station.
Correlation and Analysis of Operating Temperature Data for Direct Olefin Conversion from Heavy Crude
Authors: Al-Otaibi Ahmad M. , Al-Samhan Meshal
Published: January 2022

Data analytics is a complex process of examining available data to reveal information such as hidden arrangements and correlations that can help enhance production or cost cutting decisions. The world’s demand and production of olefins are now higher than any other chemicals especially light olefins. This demand is supported by the fact that currently, Crude Oil-to-Chemicals (COTC) is an influential driver and a strong trend of high interest to all integrated refineries and chemical producers. Zeolite-based catalyst is a major cracking catalyst used in the industry, where Y-zeolites have progressively attracted attention as good adsorbents and stable acid catalysts, and are characterized by large, essentially spherical and internal cavities. This work focuses on analyzing operating data and correlating reaction temperatures for heavy crude to enhance the production of olefin using zeolite based catalyst. The prepared Y-zeolite was characterized for Specific surface area (SSA), total pore volume (TPV), average pore diameter (APD), and pore area (PA) according to the ASTM methods. The prepared catalyst showed a large pore diameter 211 Å and a high specific area of 425.6 m2/g, then the prepared catalyst was tested under varying conditions in a 250-mL autoclave-type reactor equipped with a stirrer, online Gas Chromatography (GC) and a gas sampling port. Different samples of crude with catalyst were tested at 380-450 °C and analysed via the online GC, where high peaks of ethylene and propylene were observed mainly at 430 °C reaching 3000 ppm wt. Moreover, the accumulative data of ethylene and propylene production from the experiments were recorded.
Research on Passenger Throughput Forecast of Civil Aviation Airport Based on Multi-source Data
Authors: Peng Daoyue , Zhang Meng , Xiao Yun , Wang Yidan
Published: January 2022

In order to scientifically predict the passenger throughput of civil aviation airports. The paper taked Hefei Xinqiao International Airport as the research object, comprehensively considers multi-source data such as GDP, permanent population, airport competition, and spatial distance, used multiple linear regression, gravity-regression and other methods to construct a prediction model, and the results were obtained by different methods. The prediction result errors were compared and analyzed. The results of the study show GDP and population are important factors affecting the passenger throughput of civil aviation airports. The multiple linear regression model that considers the factors affecting airport competition can improve the accuracy of prediction, and the gravity-regression model can effectively predict the passenger throughput of civil aviation airports.
Power Data Integration Method Based on Database-table Metadata Semantic
Authors: Zheng Lei , Pan Jianhong , Zhang Kai
Published: January 2022

Aiming at the characteristic of power data with multiple sources, wide distribution and complex association, this paper proposes a power data integration method based on Database-Table Metadata Semantic (DTMS), which can realize the integration of grid data at the metadata layer. Firstly, based on the structure of the database, the semantic expression is established between database and table; Secondly, this paper combines the Jaccard distance similarity method and the edit distance similarity method to achieve semantic matching between metadata and technical terms, which can solve the shortcomings of the single similarity method. Finally, according to the characteristics of power data assets, a power data integration scheme based on DTMS is proposed for multi-source power data integration. Through experiments, the accuracy of the algorithm in this paper has reached 95.8%.
Fault Prediction of Elevator Door Lock Based on MPGA-BP Algorithm
Authors: Qiu Jun , Qiu Bei , Yang Leijing
Published: January 2022

The door lock is one of the elevator fault prone parts, and the fault may further lead to personal injury accidents. In the process of elevator operation, the door lock acts frequently, resulting in a large amount of operation data. Using big data method, the fault prediction of elevator door lock could be realized, so as to prevent and reduce accidents. BP (Back Propagation) neural network algorithm and GA-BP (Genetic Algorithm) were used as door lock fault prediction algorithms, but there were some defects in performance. BP algorithm was easy to fall into local minima and the convergence speed was uncertain, while GA-BP algorithm would reduce the genetic diversity of the population. In this paper, we use MPGA (Multiple Population Genetic Algorithm) to improve the initial weight threshold of BP algorithm, adjust the neural network, and establish a door lock fault prediction model. The simulation results show that MPGA-BP model greatly improves the generalization ability and prediction accuracy of BP neural network, compared with traditional BP and GA-BP model.
Research on a New Analysis Algorithm of Virtual Trajectory Cryptography Technology for Password Encryption and Decryption Through Base Expanding
Authors: Chen Yuanyuan , Chen Jing
Published: January 2022

In the rapidly developing Internet era, network security and data sharing coexist. With the progress of information reform, all walks of life need to ensure the security of data information. Password is a tool to protect their privacy, property, information and important data, and some criminals through technical means to crack the password, peeping and stealing other people’s important information, data, meanwhile, the data caused information and property losses also happen. Information security has become a strategic issue that people must pay attention to, which is related to social stability, economic development and national security. In this paper, we study a new virtual trajectory password technology, analyzes the algorithm, complete the structure design of code disk and solve the problem of random generation of code base in code disk. The method of “base expanding” applied to enhance the strength coefficient of the password, and the random sequence generated in the chaotic encryption algorithm is used for encryption and decryption, and a random reference graph “code disk” is generated as an auxiliary memory method to help people remember some special lengthened passwords that cannot be remembered conventionally.