bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combating Covid19 Using a Mobile App
Authors: Wijaya A H , Andhini T M W , Rahmadi Y P , Warnars H L H S 
Published: January 2022

Abstract
Through this pandemic, the world has experienced two major crises, health crisis, and economic crisis. It would be dangerous for us to continue with our “normal” daily lives. We have been forced to stay at home, and some have been dismissed from their jobs; even street vendors are forced to close. The primary purpose of this paper is to represent our solution idea on the troubles regarding COVID-19 to help and support people by providing them all the information and services needed about the COVID-19, such as the high-risk COVID-19 area, statistical growth, safety tips, online swab test booking, etc. through a mobile-based application. In this paper, we designed a model with the use case and class diagrams and implemented using Android Studio.
Design and Implementation of Virtual Campus Roaming System Based on Unity3d
Authors: Li Yuxuan , Luo Hua , Zhou Yiren 
Published: January 2022

Abstract
With the rapid development of Internet technology and the maturity of 5g technology, virtual reality gradually appears in the public vision, and its involved fields are also expanding. Using virtual reality technology and head mounted display, users’ immersion and authenticity can be improved to the greatest extent. In this paper, an immersive virtual campus roaming system is realized by using 3ds Max tool to create a model, unity 3D tool to build a scene, c# language to write human-computer interaction script, and action one headset device to take Nanchang Institute of technology as an example.
Stability Control of Transport Robot Based on Iterative Learning Control
Authors: Liu Tingrui , Ding Yan , Wang Pan , Zhao Kang , Jia Jiahao 
Published: January 2022

Abstract
In this study, stability control for transport process of transport robot subjected to 2R manipulator movement, is investigated based on iterative learning control (ILC). The joint positions, speeds and accelerations are used as variables to establish the expression of driving torques of manipulator joints. According to the experience, the linear interference torque in the process of motion is determined. Three ILC algorithms are applied to achieve stability control, and good trajectory tracking results are obtained. Position tracking, speed tracking, and the maximum position error in the process of tracking are illustrated, and through the absolute value of the maximum error, the optimal iterative algorithm is finally determined.
The Vertex Degree Distances of One Vertex Union of the Cycle and the Star
Authors: Xie Haiyan , Xue Nini , Yang Jingjing 
Published: January 2022

Abstract
The degree distance of a graph is a graph invariant that is more sensitive than the Wiener index. In this paper, we calculate the vertex degree distances of one vertex union of the cycle and the star, and the degree distance of one vertex union of the cycle and the star. These results lay a foundation for further study on the extremal values of the vertex degree distances, and the distribution of the vertices with the extremal values in one vertex union of the cycle and the star.
Radar Cross Section Reduction for the Support System of Electrically Large Objects
Authors: Du Wei , Cui Peng , Zhao Qian , Deng Lewu 
Published: January 2022

Abstract
In the tests of the electromagnetic scattering characteristics of electrically large objects, due to the large object size and the installation height, the physical size of the system is large, and the scattering is strong. In low-frequency bands, cancellation by filtering cannot be achieved, which affects the test accuracy. This study proposes a radar cross section (RCS) reduction design for the target supporter based on a low-scattering structure, and low-scattering models with a flat shape were formed in an array, which reduced the horizontally polarized scattering within ±45° at low frequencies and ensured that the vertical polarization did not deteriorate. Integrated with the corresponding driving equipment, the proposed design can reduce the 360° scattering intensity and improve the cancellation by filtering.
The Design of Computer Network Virus Defense System Based on Data Mining Technology
Authors: Xu Hui 
Published: January 2022

Abstract
With the development of modern society in China, the application of computer technology is becoming more and more extensive. Today, with the gradual popularization of network technology, related computer network viruses are also constantly appearing. These viruses often pass through the loopholes of the network system and now the computer system, and damage the data and malicious tampering in the system.In order to better protect against the harm of computer network viruses, the related data mining technology has emerged.This paper discusses the type of computer network virus and explores the computer network virus defense system based on data mining technology.
Database Programming Technology Based on Computer Software Engineering
Authors: Gong Weiwei 
Published: January 2022

Abstract
Based on practical application, this paper further discusses the database programming technology in computer software engineering. Computer technology has developed to a certain extent and is still active in various fields. However, because the demand for computers in various industries and the requirements for technical performance are different, software engineers are required to develop software systems suitable for enterprises according to their own production characteristics. Because the efficiency and quality of computer software can not reach at present, the programming technology level of database may have a certain impact on the software system.In order for database programming technology to play a full role in various fields, it is necessary to increase investment in database programming technology.This paper analyzes the database technology of computer software engineering in detail. In the process of establishing the actual database programming system, we make full use of the file creation and file access of the database to improve the database programming technology in the current computer software engineering, and then improve the stability of computer software. This paper analyzes computer software engineering, summarizes database programming program, fully realizes the application value of program technology in actual production, and combines database programming technology with the design of computer software engineering project, so as to promote the continuous innovation and development of computer software technology in China.
A Hybrid Optimization Method for Manufacturing Cell Scheduling with Random Interruptions Based on Improved Wolf Pack Algorithm and Simulation
Authors: Zhao Zian , Zhou Hong 
Published: January 2022

Abstract
Cell scheduling is an important issue in the cell manufacturing system. Considering the problems of machine interruption and energy consumption, this paper establishes a stochastic optimization model to minimize the makespan as well as the cost of energy consumption during machine idling and the interruption cost. A hybrid algorithm, based on the wolf pack algorithm (WPA) and simulation, is proposed to solve the problem. In order to deal with the problems of slow convergence speed and easily falling into a local optimum which often happens for the standard WPA, the iterative local search strategy, Cauchy mutation strategy, and Gaussian disturbance are introduced into the search process of WPA to improve its performance. The solution with stochastic parameters is evaluated via simulation. Numerical experiments demonstrate that the proposed hybrid algorithm shows a good performance in both solution quality and convergence speed, and a satisfactory solution to the problem can be reached within a reasonable number of iterations.
Optimization of the Production Preparation Process by Simulation Modeling Methods
Authors: Pollack G A , Palei A G , Buslaeva O S 
Published: January 2022

Abstract
The article describes a stochastic multiphase multichannel queuing system with an unlimited input capacity for the coordination of commercial business deals in an industrial enterprise. To build the model, it is proposed a conceptual map was used. The model allows experiments in the virtual world to optimize the parameters of a real process. As a result of experiments on the model, “bottlenecks” were identified in the process of negotiating deals. Recommendations are proposed to reduce the coordination time, which allows increasing the number of agreed business deals by 3 times.
An Improved Particle Swarm Algorithm with the Elite Retain Strategy for Solving Flexible Jobshop Scheduling Problem
Authors: Wu Mingliang , Yang Dongsheng , Liu Tianyi 
Published: January 2022

Abstract
As a combination optimization problem that an enterprise often encounters in the process of jobshop production management, the flexible job shop scheduling problem has become one of the hot issues that scholars at home and abroad have continuously studied and explored in recent years. With the development of computer technology and the rise of interdisciplinary, intelligent optimization algorithms have gradually become the primary method to solve such problems. Particle swarm algorithm is an evolutionary search calculation method that simulates birds gathering flight, constantly changing their position and speed during movement, and finally reaching the optimal state. However, the application of this algorithm in the field of solving jobshop scheduling is not particularly mature, and there are some shortcomings in its application. Aiming at the disadvantages of particle swarm algorithm that it is easy to fall into the optimal local solution and the slow convergence speed of the algorithm in the later stage, this paper proposes an elite retention strategy and integrates it into the PSO to enhance its later solution ability.
Research and Implementation of an OpenMV-Based Target Edge Detection and Tracking System
Authors: Guo Yong , Yin Jun , Wang Yu , Wu Shikai , Luo Le , Fu Qiang 
Published: January 2022

Abstract
The improvement of ARM microcontroller unit (MCU) processing capability has greatly broadened the application fields of machine vision, and the huge benefits brought by machine vision can be seen in scenarios such as medicare and health, industrial production, military and national defense. Edge detection is a common processing method in image processing, which can provide basic guarantee for subsequent target tracking and other controls. In this paper, OpenMV is used as a hardware platform to extract the edges of a target in combination with specific algorithms, and then the common PID algorithm in the field of automatic control is written in the OpenMV integrated development environment (IDE) using Python language to achieve low-latency tracking of dynamic target objects. In addition, this thesis uses the color threshold tool in the IDE to capture the color threshold of defective product as an eigenvalue, and then calls the Canny operator in the function library and functions such as kernel filtering to process the image. Through actual testing and comparison, it can be found that the image edge is retained more completely after the kernel filtering process. After the general area of the defective products is calibrated on the object to be detected, the defective products can be screened.
Balanced Optimization Design of Aluminum Alloy Impeller Rapid Casting Production Line
Authors: Zheng Wenqing , Zhang Siqi , Fan Yang , Song Aonan , Li Bowen , Lu Yanqiu 
Published: January 2022

Abstract
The improvement and design of the production line is the key to improve the overall efficiency and reduce the total cost of each enterprise. The main purpose of the current rapid casting aluminum alloy impeller is through the determination of reasonable distribution center, production facilities, and the location of the relationship between the warehouse, so as to improve the overall efficiency of the logistics industry, promote interest rate. Reasonable aluminum alloy impeller rapid casting scheme, guiding the future transportation power, logistics innovation is an important factor. The manufacturing industry will continue to advance, and the optimization of production lines for more advanced innovations will be a critical research goal in the future.
Effect of the Electromagnetic Susceptibility of Metal Interconnects: A Simulation Study
Authors: Lin Jinfu , Wang Shulong , Nie Baowei , Liu Hongxia 
Published: January 2022

Abstract
Large induced electromotive force will be generated on the metal interconnections under the action of strong electromagnetic pulse, thereby generating a large induced current. For copper metal interconnects commonly used in modern integrated circuits, large currents will cause electromigration, resulting in short or open in the circuit, causing damage to devices and circuits. In order to study the damage of metal interconnects under the action of electromagnetic pulse, in this paper, the induced electromotive force of metal interconnects under the action of HPM is derived through theoretical analysis, then analyzing the influence of different electromagnetic pulse parameters on the induced electromotive force of interconnects by the use of electromagnetic simulation software COMSOL. Using the established metal interconnect model, the electromagnetic sensitivity effect of metal interconnect is studied by analyzing the electric field distribution, current density and temperature distribution on the interconnect under electromagnetic pulse.
Numerical Simulation Study of Effect of Tunnel Slope on Smoke Propagation
Authors: Wan Dandan , Li Yanfeng , Li Yunfei , Liu Huiqiang 
Published: January 2022

Abstract
Tunnel slope is an important factor affecting smoke spreading for a stopped subway train on fire. In this paper, a multi-scale method where one-dimensional (1D) network is coupled with three-dimensional (3D) field simulation is used to calculate smoke and temperature distributions for a fire occurred in the middle part of the subway train in tunnel. The tunnel slopes of 0‰, 12‰, 21‰ and 30‰ are considered. By comparing the temperature distribution in a condition with natural ventilation and with 2 m/s longitudinal ventilation, we comprehensively analyzed temperature, smoke spread characteristics. Results show that tunnel slope has a great influence on temperature and smoke profile when slope is higher than 12‰. The temperature at 1.8m would exceed the safe limit of 60°C at 60 s after fire ignition. The larger the slope, the higher temperature would be in the train carriage. For a train fire scenario with natural ventilation, within initial 120 s period the train compartment could keep a safe evacuation condition. This research would provide reference for making right evacuation plan of subway tunnel fire.
Design and Development of Wind Turbine Performance Analysis System Modeling
Authors: Chen Debin , Cheng Binbin , Li Dexin , Li Zhouyu , Zhao Tianye , Zhang Jiasheng 
Published: January 2022

Abstract
Wind turbines have been subjected to alternating loads for a long time, and the working environment is harsh, and their performance gradually deteriorates over time. Therefore, it is very necessary to understand the operating status of each component of the wind turbine unit through detailed evaluation of its performance through the monitoring data of the wind turbine unit.This paper designs and develops a wind turbine performance analysis software system based on the related business processes and functional requirements of wind farms. The system can calculate all the indicators related to wind farm and generating capacity, lost electricity and performance of wind farm, helping operators and analysts to achieve more comprehensive, in-depth and professional performance analysis of wind farm, so as to achieve the purpose of intelligent operation and maintenance of enterprises.
A Passive Navigation Algorithm Based on Derivative Dynamic Time Regularization Geomagnetic Matching
Authors: Wang Yiteng , Bao Jinhong , Li Zehua 
Published: January 2022

Abstract
As satellite positioning has shortcomings such as susceptibility to multipath interference, we look forward to using a new algorithm to solve these problems. The method of derivative dynamic time regularization is used as the matching method of geomagnetic navigation. Due to the factors of the inertial device itself, a certain cumulative error will occur in the positioning solution of the inertial navigation (INS). Therefore, an outdoor error model needs to be established, and the positioning error is corrected by filtering technology. To solve this problem, the Unscented Kalman Filter is used to fuse the positioning results of the two to obtain a more accurate positioning, with an average accuracy within 1.5 meters.
A novel method of estimating ship heave motion based on dual inertial measurement units
Authors: Li Jiangfan , Li Liang , Wen Xiaofei 
Published: January 2022

Abstract
In order to estimate the ship heave displacement information in real time and accurately, combined with the ship heave motion model, a dual inertial measurement units (IMU) ship heave displacement estimation method is proposed, the corresponding observer is established, and the heave information of the two Imus is fused. The simulation results show that the dual IMU ship heave estimation method has higher accuracy than the single IMU ship heave estimation method.
Control Design for State transition of Open Quantum System
Authors: Meng Fangfang , Cong Shuang 
Published: January 2022

Abstract
State transition control of open quantum systems is a research hotspot and difficulty. The control method in the light of the Lyapunov stability theory is a common method. Current research shows that if the open quantum systems meet the constraints that the free Hamiltonian is strong regular and the interaction Hamiltonian is fully connected, by devising appropriate control fields in the light of the Lyapunov stability theory, the open quantum system can move to the desired final state. In view of the fact that most practical open quantum systems do not meet these two constraints, this paper propose a control method. The implicit function perturbation terms are introduced into the control fields to resolve the problem that the open quantum systems do not meet these two convergence constraints. And the main control fields are devised in the light of the Lyapunov stability theory to make the state transition of the open quantum systems converging to the desired final state.
Multi-objective Optimization Design of PMASynRM Based on RBF Neural Network
Authors: Shuai Kang , Li Zequan , Zhou Libing , Wang Jin 
Published: January 2022

AbstractThis paper presents an optimized design method of PMASynRM based on the RBF neural network. Firstly, Sobol sensitivity analysis method is used to analyze the mutual influence of the parameter variables of the motor. Then, in order to establish the surrogate model of the finite element model, the samples are obtained by the Latin hypercube sampling method to train the RBF neural network, and the NSGA-? algorithm is used for multi-objective optimization based on the trained RBF neural network. Finally, the optimization scheme is verified by the results of finite element analysis that the proposed method can provide an optimal design.
Research on Double-loop Control Method of Voltage Drop DC-DC Converter Based on Peak Current Mode
Authors: Zhang Qifeng , Cheng Shouhu , An Jianhua 
Published: January 2022

Abstract
This paper mainly studies the dual-loop control algorithm based on peak current mode. The working principle and system structure of the step-down switching power supply are introduced. The system uses PWM modulation and peak current mode to design the converter, and simulates its function in MTALAB/simulink. The result shows that the step-down circuit can basically realize the expected function, with high conversion efficiency and stable output voltage.
Realization of calibration control algorithm for curved surface-oriented machine vision
Authors: Zhang Xinwei , Qi Jianming , Jiao Xinsheng , Zhou Zhiyong 
Published: January 2022

Abstract
Aiming at the problem of the positioning deviation of the composite material surface metallization spraying equipment when spraying the workpiece, in order to ensure the processing quality, the robot vision calibration control algorithm is designed to complete the positioning calibration during the thermal spraying process. The vision calibration system is composed of a control system, a robot system, a vision system and a laser rangefinder. When the system is started, the laser rangefinder transmits the measurement data to the control system in real time, and the XYZABC position compensation data is processed by the control algorithm and transmitted to the robot to complete the vision calibration. Take composite material surface metallization automatic spraying equipment as an example, the result is that the robot system’s planar motion radius is greater than or equal to 2.55m, the height direction motion distance is 3m, the repeat positioning accuracy is ±0.05mm, and the mold positioning accuracy is ±0.08mm. Finally, the composite material surface metal is completed. Chemical spraying operations.
A coupled Lagrangian-Eulerian model for microplastics as vectors of contaminants applied to the Mediterranean Sea
Authors: Guerrini Federica , Mari Lorenzo , Casagrandi Renato 
Published: January 2022

Abstract
The pervasiveness of microplastics in global oceans is raising concern about their impacts on organisms. While quantifying their toxicity is still an open issue, sampling evidence has shown that rarely are marine microplastics found clean; rather, they are often contaminated by other types of chemical pollutants, some known to be harmful to biota and humans. To provide a first tool for assessing the role of microplastics as vectors of plastic-related organic pollutants (PROPs), we developed a data-informed simulation model that accounts for the intertwined dynamics of Lagrangian microplastic particles transported by surface currents and the Eulerian advection-diffusion of pollutants that partition on them through seawater-particle interaction. Focusing on the Mediterranean Sea and using simple, yet realistic forcings for the input of PROPs, our simulations highlight that microplastics can mediate the export of PROPs across different marine regions. Particle origin, in terms of both source type (either coastal, riverine, or fishing-derived) and geographical location, plays a major role in determining the amount of PROPs conveyed by microplastics during their journey at sea. We argue that quantitative numerical modelling approaches can be focal to shed some light on the vast spatiotemporal scales of microplastics-PROPs interaction, complementary to much-needed field investigation.
Theoretical estimation of the drawbar pull for two-axle automotive vehicles
Authors: Preda I 
Published: January 2022

Abstract
The drawbar pull, defined as the amount of force available to an automotive vehicle at the drawbar for pulling or accelerating a load, represents an important characteristic used to define its traction performances. Because the experiments necessary to determine that force are relatively difficult and expensive to realize, a theoretical assessment of that characteristic may be extremely useful to identify the traction potential of the studied vehicle. This paper presents an algorithm able to approximate the realizable drawbar force of an automotive vehicle when it moves on different types of ground. For the computation, the ground characteristics may be adopted from the literature, while the necessary input data of the vehicle is normally given by the manufacturers or can be relatively easily obtained by measurements. The algorithm can be very useful in the primary stages of vehicle design. The paper also presents some influences of the constructive data and driving conditions on the drawbar force magnitude.