bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vehicle tracking based on Adaboost cascade classifier
Authors: Long Xu , Ming Hu , Tao Tao 
Published: October 2020

Abstract
Driving safety and unobstructed travel have always been the common pursuit of drivers. In the actual environment, traffic elements are complex and changeable, and a large number of dynamic and uncertain factors bring great challenges to the driving behavior decision of smart vehicles. Machine vision because of its the advantages of wide detection range and complete road information are widely used inIn this paper, we take the road environment as the main research object and carry out research on target detection and tracking in smart vehicles. First, we propose a vehicle detection method based on multi-class feature fusion, which combines the SVM classifier. The method can effectively improve the accuracy of vehicle recognition. Then a vehicle detection method based on the Adaboost cascade classifier algorithm is proposed, and the experimental verification of the accuracy and robustness of the vehicle detection algorithm in different road scenarios is completed. Based on the principles and ideas of Kalman filtering, vehicle tracking is realized on the basis of vehicle detection, and the effect of vehicle tracking algorithm based on Klaman filtering is verified under different road scenarios.
Inverse kinematics solution and motion simulation of seven-degree-of-freedom ascending platform based on neural network
Authors: Wu Jingyuan , Ren Xiangyi 
Published: October 2020

Abstract
A pseudoinverse-based inverse kinetic solving scheme for 7-degree-of-freedom redundant aerial platform robotic arm, the scheme combines Minimum Velocity Norm scheme and damped least-square method, a close-loop damped minimum velocity norm scheme is set up which allows to avoid the joints’ limitation and to ensure the solution’s stability near the singularity position. Further, a genetic algorithm optimized BP neural network is built. Genetic algorithm can improve the training efficiency and avoid trapping in local optimal solution. The application of neural network can ensure the real-time of solution.
An Optimized Design Method of PSWFs Pulse Group Based on DFT Precoding
Authors: Yang Dawei , Liu Chuanhui , Zhang Lei 
Published: October 2020

Abstract
Aiming at the problems of non-sinusoidal time-domain multiple quadrature modulation signals based on Prolate Spheroidal Wave Functions (PSWFs), as the number of pulses increases, the bandwidth efficiency of the modulation signal frequency band decreases, the Peak-to-Average Power Ratio (PAPR) and the implementation complexity are high, a method for optimal design of PSWFs pulse groups based on DFT precoding is proposed. The PSWFs pulse signal frequency domain generation method is adopted. By introducing the precoding matrix, the multi-channel PSWFs pulse group signals are optimized and designed, and then the input data is redistributed to obtain new PSWFs pulse group signals. Experimental results show that this method can further improve the power efficiency of the modulated signal and effectively reduce the peak-to-average power ratio of the modulated signal without changing the orthogonality of the original PSWFs subcarriers. As the number of carriers increases, the suppression effect on the peak-to-average power ratio becomes more obvious.
Analysis of Drug Use based on Grey Prediction Model
Authors: Chen Yingai , Zhao Yanyan , Chen Jinhan 
Published: October 2020

Abstract
The morbidity and mortality related to the use of opioids have not decreased significantly. At present, the main measure to solve the crisis of opioids is to prevent the use of recreational drugs. However, addiction to medical drugs is also an important cause of the crisis. In this paper, the related prediction and analysis of these drug use problems are carried out. In view of the many socio-economic factors provided, First of all, MATLAB is adopted for grey relational analysis. Through the ranking of socio-economic factors and the total number of drug reports, the ten factors with the highest correlation degree are obtained. And then we’re sifting through all of these socio-economic factors to determine the nine most numerous factors. Finally, the prediction results of the model are given.
Analysis and Simulation of the Impact of Inertial Force on the Impact Point of Missile Weapons
Authors: Zhao Xin , Wang Shunhong , Dai Chenchao 
Published: October 2020

Abstract
In order to explore the impact of inertial force on missile impact point, the law of the missile impact point error with missile range, aiming azimuth and launch point latitude under the influence of inertial force is analyzed. In this paper, based on the basic principles of missile ballistics and theoretical mechanics, the trajectory and the distribution of impact point under the influence of inertial force are simulated and analyzed. The results show that the impact point error affected by inertial force is positive correlation to the range of missile when the aiming azimuth is fixed. In the case of a certain range, with the change of the aiming azimuth, the impact point error will also change according to a certain rule. When the range and aiming azimuth are fixed, the impact point error decreases with the increase of latitude.
Research and analysis of least square method identification of children’s movement based on running and mountain climbing
Authors: Zhao Huoping , Wang Dong , Li Dahu , Sun Kang , Zhang Wanjun , Gou Xiaoping 
Published: October 2020

Abstract
In view of the difference of safe heart rate during exercise and fitness, this paper studies the suitable heart rate of children running and climbing in different physique, so as to provide scientific and effective exercise for children. In this paper, a least square method is proposed to identify children’s movement based on running and climbing. The least square method identification system of children’s movement based on running and mountain climbing is established. Finally, through the MATLAB simulation analysis, the results show that the discrete identification method is suitable for children’s safe heart rate and physical fitness, and the simulation results verify the feasibility and effectiveness of the least square identification method.
Design of vehicle management reader based on STM32
Authors: Ding Chenglong , Liu Zhifeng , Xu Yuefeng , Shu Zhihao 
Published: October 2020

Abstract
This paper mainly studies the parking lot counting system, which is a modern and new system integrating detection and conversion technology, computer technology, information processing, digital technology and other technologies. This work uses STM32F103 single-chip microcomputer as the MCU processor, and uses 2 infrared modules to detect vehicle access. Through the single-chip microcomputer, information is collected to detect vehicle access. LCD12864 is used to display vehicle parking information for drivers to watch.
Research on 3D modelling based on UAV tilt photogrammetry with KQCAM5 swing tilt camera
Authors: Chen Wei , Zhang Jian 
Published: October 2020

Abstract
With the continuous development of UAV and tilt camera, tilt photogrammetry technology has been well applied in various fields. However, there are some problems in the practical application of tilt photogrammetry technology, such as the position of tilt camera is always in a relatively fixed position, which is easy to miss out photos, etc. In this paper, a method of establishing a three-dimensional real scene model by using a swing five lens camera is proposed. It is proved that the 3D model established based on the KQCAM5 swing tilt camera contains abundant texture information, which reduces the hollowness and stretching deformation of the model. At the same time, the UAV tilt photogrammetry with swing tilt camera can reduce the extended range of the measuring area, thus reducing the number of photos taken and improving the overall efficiency.
Research on the characteristics of wave observation of wave glider
Authors: Qin Yufeng , Li Guofu , Qi Zhanfeng , Zhang Shuang , Qi Zhanhui 
Published: October 2020

Abstract
Wave glider is a new class of ocean mobile observation vehicle. It is a new applied research direction that using wave glider for wave observation. Currently, wave observation is usually performed at fixed points by using wave buoys, the research on using wave glider for navigational observations is still rare, and the characteristics of wave observation using wave glider is not yet mastered. The article Research on the characteristics of wave observation of wave glider, Based on the experimental results, analyze the differences and the correlations between wave glider and wave buoy in wave height, wave period, wave number and wave direction. Analyze the existence mechanism of the difference and propose the theoretical basis for eliminating the difference or correcting the observation data of wave glider. Based on experimental data and theoretical analysis, it is proved that the wave glider is feasible to observe wave. The average correlation coefficient between the observation data of wave glider and the observation data of wave buoy is above 0.9, the results prove that there is a strong correlation between wave glider and wave buoy.
Application of PCA-LSTM model in human behavior recognition
Authors: Qiao Mingmin , Li Haotian 
Published: October 2020

Abstract
For the problem that the recognition rate of human upper extremity movements is not high and existing models are prone to “dimensional disaster”, a pattern recognition algorithm based on PCA-LSTM neural network is studied. Collect and process the surface electromyography signal (sEMG) of the human upper limbs, and put it into the PCA model for data dimensionality reduction, put the dimensionality-reduced data into the LSTM neural network model to classify the human behavior, count the classification efficiency and recognition rate. Comparing PCA-LSTM with the traditional classification algorithm SVM and random forest, the calculation efficiency is improved by 31% and 53%, the recognition rate is increased by 3.9% and 4.6% and the classification effect is significant.
Research on Speech Enhancement Based on Deep Neural Network
Authors: Wang Yiting , Wei Zhenhua 
Published: October 2020

Abstract
The traditional single-channel speech enhancement algorithm has many unreasonable assumptions, which limit the performance of the algorithm. The speech enhancement based on deep neural network can effectively eliminate the problems such as “music noise” in the traditional methods, thus achieving better results than the traditional single-channel speech enhancement. However, the DNN-based speech enhancement model does not perform well at low SNR. In order to improve the robustness of the model, we used voice activity detection (VAD) to process the training data to obtain a new VAD-DNN speech enhancement model. We added 100 kinds of noise in the training set to improve the ability of the model to deal with the unseen noise. At the same time, in order to prevent the occurrence of overfitting problem, we introduced dropout technology to process the network, and improved the generalization ability of the model by using noise awareness training (NAT). Through experiments, we found that the speech enhancement model based on VAD-DNN improved PESQ index by 0.02 and STOI index by 0.01 on average under the condition of low SNR.
Examination on Stall Characteristics inside the Diffuser of a Radial Pump
Authors: Feng Jianjun , Ge Zhenguo , Yang Honghong , Li Yunzhe , Zhu Guojun 
Published: October 2020

Abstract
In this paper, the numerical simulation software ANSYS-CFX is used to simulate the flow field in the radial pump together with the SST k-ω turbulence model. The cross-power spectra analysis method is used to examine the internal rotating stall in the diffuser region. The rotating stall characteristics occurring in the part-load condition inside the vaned diffuser were discussed by using the cross-power spectra method
Design of Simulation Verification Platform for Ship Sub Assembly Digital Production Line Control System
Authors: Jiang Xiaowei , Song Qingwei , Fu Wei , Xu Yunjie , Ding Heping 
Published: October 2020

Abstract
The early verification of the control system of the sub assembly production line plays an important role in the efficiency and quality of the production line. The traditional control system verification is based on the actual production line and the cost is high. This paper proposes a simulation verification platform with data interaction with the control system, which can verify the control system at low cost. It can enable the ship sub assembly laboratory to have the ship sub assembly production line simulation, testing, and development capabilities to meet the research needs of the ship sub assembly production line.
Characteristics and Development Prospect of Computer Automatic Patrol Inspection Technology
Authors: Wu Yaguang , Sun Lintan , Han Wei , Chen Long , Liu Xusheng , Wu Zeyuan 
Published: October 2020

Abstract
Due to the continuous progress of science and technology and the continuous development of economy, the traditional information system automation platform can no longer meet the requirements of the current reality. Therefore, it is urgent to design a new type of operation and maintenance automation platform. Starting from the demand of power grid enterprises, this paper introduces the operation and maintenance automation platform system, puts forward the design idea, technical means and system design framework.
Discuss the Application and Presentation of 3D Visualization Technology in Data Center
Authors: Sun Lintan , Han Wei , Lv Jingxian , Song Can , Yang Zixing , Fu Dake 
Published: October 2020

Abstract
The 3D visualization virtual simulation technology performs professional 3D modeling of scenes and equipment at all levels in an enterprise data center. It is driven by the bottom of the 3D engine technology and presents data center infrastructure information on a large screen. Seamlessly integrate various monitoring systems and asset libraries, diversified charts customized to show the running trend and health status. With the new characteristic concept of operation and maintenance combined with 3D scene display and 2D data elements, we strive to make 3d visual virtual simulation technology better serve the operation and maintenance personnel of the data center. Supports the highlighting of alarm special effects in the equipment room scene, click the device alarm quick positioning, and handles the alarm event. Output the real-time operation data of the equipment in the form of three-dimensional curve charts to intuitively grasp the operating trend of the equipment. IT equipment loading and unloading in the cabinet does not require operation and maintenance personnel to visit the equipment room to check the distribution of equipment. 3D visualization technology supports the retrieval of the space, electricity, load bearing and information points in the cabinet as query conditions to generate construction orders, Solve the inefficient way of inquiring account books and planning by operation and maintenance personnel through scientific and technological means. Through human-computer interaction, the traditional tedious and boring single operation mode of operation and maintenance has been changed, and the operation and maintenance management level of enterprise data centers has been effectively improved.
Construction and Analysis of Transplanting Robot Actuator Control System Based on Machine Vision
Authors: Gong Kun , Guo Yingjiang , Fang Wentai , Niu Zijie 
Published: October 2020

Abstract
automated transplanting robots can liberate human labor and rapidly increase the speed of transplantation. This paper aims at the application of mechanical arms in transplantation by analyzing the force of the actuator during the transplantation process, and combines with the kinematics analysis of the actuator to create a control system for transplanting robot actuators based on machine vision, then simulates and verifies the transplanting robot actuators and control system, the result shows that the transplanting function is stable and the effect on plant protection is good.
A Literature Review of the Empirical Research on TFP and Its Influencing Factors in Power Industry
Authors: Feng Xinxin , Song Haiyun , Xiao Hanxiong , Gao Guowei , Li Rui , Liang Cai 
Published: October 2020

Abstract
Based on literature review, this paper studies the empirical research on total factor productivity (TFP) of power industry and its determinants. We found the TFP estimations were generally conducted on the industry level, less research on the micro firm level, and most studies were focused on growth factors including power reform, environmental constraints and technological progress. With insufficient decompose of firm TFP growth, it is difficult to provide practical advice for companies to increase their TFP.
A Resource Trusted Model Based on Game Theory in Cloud Computing
Authors: Shang Qinghong 
Published: October 2020

Abstract
With the development of cloud computing, task scheduling has been an important problem in cloud computing. We should consider not only the performance of resources, but also the reliability of resources and users for resource allocation and scheduling. We proposed a trusted model based on game theory to evaluate the trusted scores of cloud participants. Simulation results show cloud users and resource tend to send feedback information to agents in order to increase their scores. Also trusted score is an important factor to affect the decision of resource allocation. Results show our model improved resource utilization and load balance.
New solution to the motion acceleration disturbance in MEMS-based attitude and heading reference system
Authors: Yang Yingdong , Wang Bo , Fu Xiao , Xu Yuzhe 
Published: October 2020

Abstract
The attitude and heading reference system based on microinertial measurement unit is becoming increasingly important in the fields of vehicle navigation, autonomous underwater vehicles, and unmanned aircraft systems. However, motion acceleration disturbance always affects attitude fusion, thereby making the study of compensation method for attitude fusion in motion important. In this work, two independent extended Kalman filters with clear structure and easy control are used to calculate attitude fusion. The linear process of the measurement equations in this structure is avoided and is more intuitive than the Euler-angle or Quaternion method. Subsequently, this work describes the motion convergence model for suppressing motion acceleration disturbance. This model is designed on the basis of gyro compensation and motion statistical analysis. First, the concrete structure of the model is introduced, and the feasibility of the scheme is analyzed. Second, the influence of small gradient acceleration on the model is elucidated. Finally, vehicle experimental results show that the model can effectively reduce motion acceleration disturbance and reflect the real attitude changes inside the vehicle body.
Scheduling technology of satellites parallel final assembly based on Multi-island Genetic Algorithm
Authors: Ren Penghao , Meng Shaohua , Yi Wangmin , Chen Changyu , Du Ruizhao , He Yun 
Published: October 2020

Abstract
The satellite final assembly is a production process with thermal test workplace and mechanical test workplace as the core resources. The final assembly of each satellite shall guarantee the delivery date (the date of leaving factroy) as well as the delivery of key time points. In this paper, a scheduling problem model is established aiming at minimizing the total delay penalty with the workplace resource as the main constraint for the multi-satellite parallel final assembly process. The problem is solved by designing Multi-island Genetic Algorithm. Finally, a case of satellite final assembly production is scheduled to arrange the corresponding assembly workplace for each process of each satellite. As a result, most of the satellites have little or no delay in key time points and delivery date. A practical scheduling plan is gotten.
Design on Universal Flight Test Platform for Aerospace Components
Authors: Zhang Hongwei , Xiao Aibin , Wang Zhe , Liu Hui , Wei Zhichao 
Published: October 2020

Abstract
In view of the current problems such as immethodical in-orbit testing and verification of components, and complex and diversified methods of development of test verification devices and in-orbit testing of components, the paper proposes a systematic design scheme for a universal flight verification platform for components. The paper elaborates on the demand analysis, functional module division, in-orbit test methods, etc. with regard to the platform, analyzes the platform's advantages in carrying out in-orbit tests to different types of components, and realizes the generalization, standardization and modularization of the flight test platform.
The traffic performance analysis of wireless broadband communication in electricity system
Authors: Tang Xiaoke , Wang Rui , Wang Yubo , Zhao Dongyan , Zhao Xu , Zhang Yubing 
Published: October 2020

Abstract
HPLC (high speed power line carrier) is widely used in electricity information collection, but because of the large variation of attenuation of power line channel, in some environment, it needs wireless communication as supplement router, the current wireless technology, such as LORA, NB-IOT are for narrowband and can’t be used to form a hybrid network with HPLC. So wireless broadband communication in electric system need to be studied. In this paper, we evaluate three types of electric traffic under wireless broadband communication with the reference of HPLC standard because there is not an approved standard about wireless broadband communication for electric system currently.
Low friction and high load-carrying capacity of a slider bearing with an inhomogeneous surface affinity
Authors: Shi Wenxue , Sun Bowen , Chen Lu , Wang Wen , Guo Liang 
Published: October 2020

Abstract
In fluid lubrication systems, lower friction means less energy consumption, whereas higher film thickness means higher load-carrying capacity and lower probability of wear. Traditionally, friction coefficient increases with oil film thickness, which cannot meet the design requirements of modern equipment, such as MEMS. In this study, we attempt to tackle this challenge by introducing an inhomogeneous surface affinity on a static slider bearing surface. A model combining the limiting shear stress and slip length is adopted to analyse the effect of boundary slip on the hydrodynamic performance of a slider bearing. The model is firstly verified by comparing the calculated results with the experimental data, and then parameter study is conducted. Results indicate that lower friction and higher film thickness can be realised simultaneously by a specific design of the inhomogeneous surface affinity.
Control mode and topology of hydrogen fuel cell DC/DC converter
Authors: Li Zhihua , Chen Jing , Xiao Chun , Chen Zhenglong 
Published: October 2020

Abstract
The decrease in hydrogen fuel cell durability is due to the excessive input current ripple of the DC/DC converter. An improved DC/DC converter is used to reduce the input current ripple in order to solve this problem. This DC/DC converter is modified on the basis of a staggered BOOST DC/DC converter, the input current ripple of the DC/DC converter is effectively reduced. In this paper, the principle of current ripple generation is analyzed, the operation mechanism of the DC/DC converter is analyzed, the corresponding control mode is selected. The DC/DC converter designed is simulated. The result is shown as below: the input current ripple coefficient of DC/DC Converter is controlled to less than 1%, the smoothness of the output current of hydrogen fuel combustion battery is guaranteed.