bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobile robot path planning compares wavefront and A* algorithms
Authors: Zhang Siyan , Liao Zehan , Wu Yichen 
Published: June 2021

Abstract
In This study, the A * algorithm and wavefront algorithm are adopted to simulate the motion of the robots using Matlab. And a complex Maze with different complexity is created to compare the time and path that taken by the robot using the A * algorithm and wavefront algorithm. Before testing, we have determined the types of wavefront algorithms. The wavefront algorithms are divided into 4-Sector Connectivity and 8-Sector Connectivity. After summarizing and comparing the previous research results, we decide to use the 8-Sector Connectivity wavefront algorithm and the A* algorithm for testing. After that, the maze (environment) is established by Matlab simulations, and the corresponding algorithm, A* algorithm and wavefront (8-Sector Connectivity) algorithm are assigned to the robot. Finally, the robot moving to the specified position in the maze is tested. We use the built-in function in Matlab to record the time and distance of the robot moving to the specified position in the maze. The data are collected and analysis to compare the A * algorithm and wavefront algorithm. The results show that the A* algorithms achieve better results in a simpler environment, that is, it takes less time to get the goal in the maze. The wavefront algorithm has better performance in some complex environments. In general, we think the A* algorithm better than the wavefront algorithm.
Impact of Route Choice on Pedestrian Casualties in Car Bomb Terrorist Attacks
Authors: Fan Zhenyu , Che Junlin , Zhai Yiming , Ding Ning , lu Yang 
Published: June 2021

Abstract
Current situation of international violent terrorism is severe. Public places with high density crowd are more likely to be attacked by violent terrorists. Terrorist attacks such as car bombs are one of the very common and harmful types. “10•28” Beijing Golden Water Bridge Attack is a very typical example. Based on the case analysis of the Beijing Golden Water Bridge Attack, this paper established a simulation model of a car bomb terrorist attack on the basis of the social force model of the Anylogic software platform and conducted simulation experiments on the impact of route choice on pedestrian casualties in the car bomb violent terrorist attack. The simulation results show that: there is minimal damage to pedestrians under a specific route. These conclusions are of great practical significance for the placement and arrangement of safety protection facilities for large-scale event venues.
Fast update method of new equipment status in IMS network based on ant colony optimization algorithm
Authors: Sun Lili , Zhai Hongting , Zhai Qi , Li Liang , Zhang Qingrui 
Published: June 2021

Abstract
In order to update the status of new equipments in IMS network quickly, a new method based on ant colony optimization algorithm is studied. This method is to lock the new status of IMS network and establish the location model of new equipment in IMS network. For the new equipment in IMS network that has been located, the load balancing method of new equipment in IMS network based on ant colony optimization algorithm is adopted to obtain the optimal operation state of new equipment in IMS network, and realize the rapid update of new equipment status in IMS network. The experimental results show that: the proposed method can accurately locate the coordinates of new equipments in IMS network when the node regularity is significant or not; it can effectively improve the update speed of new equipments in IMS network, and realize the rapid update of new equipment status in IMS network; the negative impact on IMS network is smaller, and under the premise of small and large load of IMS network, the proposed method can improve the performance of IMS network. When the new IMS network adds new equipment status, the false alarm rate is small and the update result is reliable.
Ammunition Scheduling Method in Airborne Weapon Depot Based on Improved Genetic Algorithm
Authors: Liu Min , Li Guanfeng 
Published: June 2021

Abstract
The scheduling of the carrier-based aircraft weapon involves many resources and is subject to many constraints. The design of the scheduling scheme belongs to a type of typical NP-Hard problem. In this paper, genetic algorithm is selected as the optimization algorithm, and a two-layer real-value coding method is designed, and the selection, cross, and mutation operations of the algorithm are improved by using the elite strategy and other methods. The improved algorithm was used to simulate the established mathematical model to verify the effectiveness and superiority of the improved algorithm.
Multi-threshold channel pruning method based on L1 regularization
Authors: Han Fu Xin , Li Yang , Wang Chen Song 
Published: June 2021

Abstract
Aiming at the problem of single detection scene and poor detection speed, a multi-threshold channel pruning method based on L1 regularization is proposed. L1 regularization is applied to the scaling factor of the BN layer to push the scaling factor of the BN layer to zero, thereby identifying unimportant channels, and determining the initial threshold of channel pruning according to the scaling factor after sparse training; The most suitable pruning threshold of the convolutional layer is obtained through minimum error reconstruction. The least square method and the method of weighting the channel are used to reconstruct the error before and after pruning, and the most suitable pruning threshold is obtained by minimizing the error. Through the data set simulation experiment, the YOLOv3 network is pruned, so that the network has a smaller network structure and faster detection speed, which is suitable for deployment on mobile devices.
Remote control and data analysis system based on Alibaba Cloud
Authors: Zhai Yuyi , Jiang Tao , Liu Yunjia , Wang Le , Jiang Houyong 
Published: June 2021

Abstract
In order to eliminate the digital gap between equipment control and production information management, a smart factory remote control and data analysis system based on a cloud-fog hybrid computing model is proposed. Alibaba Cloud Server serves as the cloud computing layer to provide data storage and services, and the Internet of Things platform serves as the fog terminal. The computing layer completes data filtering and system early warning. The system consists of five parts: perception layer, gateway layer, platform layer, application layer and persistence layer. Each layer is designed and analyzed. The dead zone-adaptive swing door trending algorithm is used for data compression, and the system pressure test experiment and the data compression accuracy test experiment are completed. The experimental results show that this system improves the control of data in the production process, reduces the amount of data storage, and has high system compatibility to meet actual production needs.
Reconstructions for Analytic Signals Based on Greedy Algorithm
Authors: Shuang Li 
Published: June 2021

Abstract
In this paper, we utilize greedy algorithm to approximate analytic signals and transfer functions sparsely. Based on reproducing kernels of Hardy space, a redundant dictionary is constructed. The approximating strategy relies on matching pursuit which is an implementation of greedy algorithm. A numerical example and Python codes are provided to illustrate the idea.
Foreign body detection of urban rail train roof based on deep learning
Authors: Wang Chen Song , Cui Wei , Wang Xiao Zhu 
Published: June 2021

Abstract
The identification of foreign body on the roof of urban rail train is an important link to ensure train safety. The foreign body on the roof has the characteristics of small size and irregular shape. In this paper, this paper proposes an improved YOLOV4 foreign body recognition method based on deep learning. It expands the sample of foreign body data through data enhancement to enhance the robustness of foreign body detection; DCN (Deformable Convolution) was added to the backbone network CSPDarkNet53 to enhance the receiver field of the feature extraction network and enhance the detection ability of irregular objects. The experimental results show that the improved YOLOV4 can obtain 94.5% MAP on NVIDIA RTX2080Ti. It can accurately and quickly detect the roof foreign body.
Housing rental system based on blockchain Technology
Authors: Xue Qingshui , Hou Zongyang , Ma Haifeng , Zhu Haozhi , Ju Xingzhong , Sun Yue 
Published: June 2021

Abstract
As for the housing rental market, there are many landlords, arbitrary charges, false rental information and so on, and it is difficult for the government to record and supervise the housing rental situation. Based on the block chain technology of encryption algorithm, this paper constructs a housing leasing Alliance chain. The landlord and tenant sign lease agreements through smart contracts, determine the lease relationship, pay and collect rent automatically on a regular basis, and return the rental right when due. In the design of the Alliance chain network, the certification department node and the record managerment node are introduced to authenticate the authenticity of the house source and personal identity information, and backup the lease contract information, register the housing rental situation, and achieve the effect of safe leasing. This method eliminates the mediation, less cost, clear housing rental information, and is conducive to government market supervision.
Research on UAV path planning obstacle avoidance algorithm based on improved artificial potential field method
Authors: BinKai Qi , Mingqiu Li , Yang Yang , XiYang Wang 
Published: June 2021

Abstract
In this paper, we study the path planning obstacle avoidance problem of UAV based on improved artificial potential field method (APF). By introducing dynamic adjustment coefficients, the gravitational force and repulsive force functions in the traditional APF are improved to make the obstacle avoidance safety factor higher and the final path smoother; for the target unreachability problem, a new attractive potential field is built in the gravitational force function to balance the changes of the traditional attractive force and repulsive force; a longitudinal random factor is used to solve the problem of getting into local minima. Through simulation comparison with other methods, this method can solve the path planning obstacle avoidance problem of UAV more efficiently.
A Research on An Intelligent & Automatic Help Seeking System
Authors: Jing Chen , Maoyan Zeng , Jinhua Zhang , Long Chen 
Published: June 2021

Abstract
The safety of all the factories and families should not be ignored. In this paper, in case of emergency, people in factories or at home can still send out a distress signal through voice without mobile phone, so as to ensure the safety of people and facilities. The authors have developed a smart home help for the elderly device based on communication, intelligent manufacturing, materials and digital simulation technology. The main purpose is to solve the problem that when the elderly are alone at home, they can make an emergency call for help through this system when they encounter sudden accidents. This technology is also very suitable for the safety of factories and other scenes.
Numerical simulation of sintering bellows under multi-point leakage
Authors: Yu Mingzhu , Cai Jin , Kong Xianghu , Kong Xiangwei 
Published: June 2021

Abstract
In order to study the influence of multi-point leakage on the flow field in the bellows and the quantitative evaluation method of air leakage based on temperature, the Fluent software was used to consider the fluid-solid coupling heat transfer in the bellows and the convection and radiation heat dissipation on the outer wall of the bellows. The multi-point leakage environment was set up, and the numerical simulation model of single-side sintered bellows-branch pipe section was established. The temperature distribution and flow field distribution of the fluid on the outer wall and inside the bellows are solved. Infrared thermal imaging was used to extract the temperature trend of the local leakage point of 5# bellows, and compared with the simulation results, it was found that the closer to the leakage point, the faster the temperature dropped, and the two had a strong correlation, which proved that it was feasible to use numerical simulation to study the air leakage of bellows. Through the analysis of different leakage forms, it is found that the influence range and intensity of single-point leakage and multi-point leakage on the field quantity are different. The research method lays a solid foundation for the in-depth study of temperature-based detection algorithm.
A numerical investigation on factors affecting in-plane deformation modes of honeycomb
Authors: Cui C B , Zhai J Y , Li M , Li Z G 
Published: June 2021

Abstract
The main factors affecting honeycomb in-plane deformation modes are researched using Patran/LS-DYNA in this paper. All changes in deformation modes can be summarized as changes in constraints. The main factors affecting the deformation modes include the material constitutive models, the boundary constraints, the cell wall thickness-to-length ratio h/l and the aspect ratio of honeycomb. Inner cells’ constraints and shape of crush bands are affected by the material constitutive models. The sliding difficulty of boundary cells and the initiation of crush bands are influenced by the boundary constraints especially the horizontal frictions and the cell wall thickness-to-length ratio h/l. The number and region of crush bands are affected by the aspect ratio.
Analysis on dynamic precision degradation mechanism of high-speed precision press
Authors: Chen Hao , Zhang Yongqi , Zhang Wei 
Published: June 2021

Abstract
With the increase of service time, the dynamic precision of high-speed precision press is getting lower and lower. In order to study the precision degradation mechanism, a dynamic model of main transmission system of high-speed precision press was established based on ADAMS, and the influence of different bearing clearance on the dynamic precision was studied. The simulation results show that the dynamic precision of bottom dead center (BDC) decreases with the increase of joint clearance. And the increase of the joint clearance between main linkage and main slider has the greatest impact on the dynamic accuracy of BDC, the impact of the joint clearance between crankshaft and major linkage is smaller, and the impact of the joint clearance between crank shaft and bearing is the smallest. Finally, the field test was carried out. The analysis of the test data shows that the wear of the bearings in the main drive system leads to the increase of the clearance, which leads to the degradation of the dynamic precision.
Numerical Study on the Gas-Particle Two-Phase Jet Flow during Canister Launching Process
Authors: Liang Xiao-yang , Zhou Zhi-tan , Yu Qi-rui , Le Gui-gao 
Published: June 2021

Abstract
The Euler-Lagrange model of Jet-gas and AL2O3
is established to study the impact of gas-particle jet flow during canister launching process. The gas phase is the Navier-Stokes equation of the two-component transport of gas and air, and the turbulence model is the realizable two-equation model. The airflow flux is numerically discretized via AUSM format, and the viscous dissipation flux is a second-order central difference. The movement trajectories of particles with different diameters ranging from 1 to 100 μm and the distribution characteristics of jet flow dynamic parameters in the launching box are studied. The jet impingement flow field results of gas-particle two-phase flow are compared with those without particle phase. The results show that the particle phase has a retardation and heat transfer effect on the expansion of jet flow, which affects the distribution of jet flow parameters in the launch canister. Furthermore, compared with the pure jet flow impingement effect, the velocity of the two-phase jet flow along the central axis decreases and the temperature increases. Meanwhile, the trajectory of the particle phase is related to the particle diameter. As the diameter of the particles becomes smaller, the flow ability is better and affected by turbulence, and a random movement area in the downstream area of the jet is formed. As the diameter of the particles becomes larger, a particle aggregation area is formed on the jet axis due to inertial force.
Vibration monitoring of wind turbine tower based on XGBoost
Authors: Su Liancheng , Guo Gaoxin , Li Yingwei 
Published: June 2021

Abstract
A tower vibration monitoring method based on XGBoost is proposed to predict the tower vibration trends under different operating conditions. Firstly, the wind turbine operating conditions are classified based on the Kmeans clustering algorithm. Secondly, the impact of state parameters of the wind turbine on the tower vibration is analyzed, and the tower vibration monitoring model is established based on XGBoost algorithm. Finally, the actual SCADA data of the wind farm is used to verify the proposed method. The results show that the vibration monitoring accuracy of tower is effectively improved by considering the operating conditions of the wind turbine.
The Kinematic and Dynamic Analysis of a Bionic Manipulator
Authors: Ji Zhifei , Hong Hualin , Yuan Xiaodong , Fan Jianyu , Lin Min 
Published: June 2021

Abstract
Bionic manipulators can help people with disabilities to improve their quality of life, they thus became a focus researched by many scholars. In this paper, the kinematic and dynamic analysis of a bionic manipulator was conducted. Firstly, the kinematic model of the bionic manipulator was developed. The relationships between input and out variables were obtained. Then, the dynamic model of the bionic manipulator was established by using the Lagrangian method. The dynamic parameters including the angular displacement, angular velocity and angular acceleration under the action of torque were analyzed. The results indicated that the angular displacements of the three angles are increasing with time. With the increasing of time, the angular velocity first increased and then decreased. The angular accelerations are oscillation with an increase in time. The work in this paper lays the groundwork for future applications of bionic manipulators.
Dynamic Analysis of a 6-DOF Wheeled Mobile Robot
Authors: Ji Zhifei , Yuan Xiaodong , Lin Min , Huang Xiaoqing 
Published: June 2021

Abstract
The Mobile robot is a hot research topic in the research field of robotics. Combined robotic arms and wheeled mobile platforms, a novel mobile robot of six degrees of freedom is researched in this work. On the basis of Lagrange formulations, the dynamic model of the robot is developed. By employing the Adams software, the simulations of the direct and inverse dynamics of the robot are completed. The results indicate that under the conditions of constant driven forces or torques, the upper arm, forearm and rotational platform have the same motion period. In the first five seconds, the accelerations of upper arm, forearm and rotational platform research their peak values respectively, when the time equals 4.63s. Influenced by the motions of upper arm and forearm, the translational platform will obtain kinetic energies in the horizontal plane. Exerting periodic motions on the upper arm and forearm, the corresponding drive forces or torques have the same period with the motions of the upper arm and forearm. The driven forces and torques of the upper arm and forearm have multiple extreme points in one motion period. The motion laws of the robot is of positive significance for its design of controller and path planning.
A Sigma-Delta modulator circuit using correlated double sampling
Authors: Zhou Xirui , Duan Quanzhen , Huang S. 
Published: June 2021

Abstract
This paper presents a 14-bit ΔΣ analog-to-digital converter (ADC) with 2.35 kHz BW, while operating from a 3.3 V supply. Correlated double sampling (CDS) are used to mitigate the ADC’s offset and 1/f noise, especially at low frequencies.
Research on Customized Method of Post-processing of DMU125P Five-axis Machine Tool
Authors: Hao Zheng 
Published: June 2021

Abstract
With the increasing improvement of China’s industrial production technology, more and more attention is paid to the application of new five-axis CNC machine tools, and it is also urgent to strengthen the post-processing design. However, there are still many problems in the post-processing of DMU125P five-axis machine tools at this stage. The method is analyzed by combining the post-processing requirements of the DMU125P five-axis machine tool. At the same time, most studies in recent years have found that the use of post-processing application design is critical to improving the processing of complex mechanical parts. This study will analyze the post-processing customization method of the DMU125P five-axis machine tool, and provide a basis for the next step of work.
Analysis of and Solution to the Slippage of the Torque Limiter of Wind Turbine
Authors: Qi Liao Shu 
Published: June 2021

Abstract
As part of the high-speed shaft coupling, the torque limiter used by the wind turbine generator is installed near the generator side. It has the function of overload protection, which can effectively cut off the great torque generated when the low voltage ride through and the motor are short-circuited, and reduce the damage to the transmission system. In actual operation, especially when running at full power, the torque limiter will often slip, which will increase the damage to the transmission system and reduce the power generation efficiency. This paper analysis the principle of vector control on the machine side of the unit, and finds the cause of the slip of the torque limiter and the solution.
Investigation of dynamic characteristics for road vehicle based on multiple-input multiple-output vibration test
Authors: Yang Liwei , Wang Youjie , Liu Dejun , Liu Zhongping 
Published: June 2021

Abstract
This study is intended to investigate dynamic characteristics of a heavy truck. An experimental setup is designed for full vehicle vibration test consisting of four electro-mechanical shakers with high force rating (35000kgf). Transfer matrix is taken into account for multiple-input multiple-output (MIMO) vibration control. Vibration inputs under the tires can simulate both vertical and rotational excitations of the road. Furthermore, transfer function estimate (TFE) can be obtained based on the known road inputs and measured dynamic responses. Operational modal analysis has been carried out to identify the rigid mode shapes pitch, bounce, roll in low frequency range (1-10Hz). Based on experimental results, vibration response is higher on seat, which results in an uncomfortable level.
Vibrational fatigue failure prediction of a brake caliper used for railway vehicles based on frequency domain method
Authors: Zeng Liangbin , Zhao Jinliang , Meng Yongshuai 
Published: June 2021

Abstract
A brake caliper used for railway vehicles was introduced in this paper. In order to predict the fatigue failure under random vibration condition, firstly a dynamic model was established and proved by comparing the results of modal simulation and modal test. The weak points of the structure were identified by taking random response analysis, and the corresponding PSD (power spectral density) spectrums of stress were obtained. Furthermore three different PDF (probability density function) models of stress amplitude distribution were employed to describe the distributions of stress at weak points, then the fatigue damages were calculated based on Miner’s linear cumulative damage theory and the fatigue failures were predicted. Finally, an accelerated failure test was designed and carried out to verify the validity of the predictions proposed by three models. The result shows that, the Dirlik’s model and Steinberg’s model can provide more exact results and be suitable for vibration fatigue failure prediction of brake caliper.