bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of Milling Force Model of Cycloid Gear
Authors: Xu Jianmin , Liu Kun , Zheng Qingjie , Gong Xiaoyan 
Published: April 2021

Abstract
The change of the milling force during the milling process will directly affect the machining accuracy of the cycloid gear. In this article, the milling force prediction model of the cycloidal gear is used to predict the milling force of the cycloid gear. The results show that when the spindle speed increases, the milling force gradually decreases; the milling force is also closely related to the feed speed, axis milling depth and radial milling width. With the increase of axial milling depth and radial milling width, the milling force gradually increases, but the magnitude of the increase is different.
Effect of Different Tempering Temperature on the Microstructure and Properties of G115 Steel Weld
Authors: Qi Xiangqian , Liu Zhaohua , Li Xin 
Published: April 2021

Abstract
Evolution of microstructure and room-temperature strength of G115 deposited metal after different tempering at 760°C,800°C and 820°C have been experimentally investigated using metallographic microscope, field emission scanning electron microscopy (SEM) and tensile test, charpy impact test. The results show that after tempering at 800 °C, the G115 deposited metal has the best mechanical properties and can obtain obvious tempered martensite structure of lath bundle. Tempering at 760-800°C, the M23C6 precipitates has a tendency to grow up. The main mechanism that produces the above results is the recovery of martensite and the precipitation of carbon during high temperature tempering. Spherical oxide inclusions formed by welding metallurgy were found in the dimples of the impact fracture of the deposited metal and its influence on the high-temperature durability of the deposited metal needs further study.
Numerical simulation of Vortex-induced Vibration of A Top-tensioned Riser
Authors: Cui Peng , Guo Haiyan 
Published: April 2021

Abstract
The objective purpose of the paper is explore the prediction the vortex-induced vibration (VIV) of a top-tensioned riser. The riser model is established based on vector form intrinsic finite element (VFIFE) method. The riser is discretized into a set of mass points whose motion follow the Newton’s second law and the central difference explicit integration method is used to solve the control equation of the mass point at each time. The fluid hydrodynamic forces are simulated by a Landl-modified Rayleigh wake oscillator. The calculation result is compared with the experiment result to validate the accuracy of the model. Time history of the axial displacement indicates that the model is a real three-dimensional model.
Performance analysis of a vapor injection heat pump using ambient air and recovery electric motor waste thermal
Authors: Piao Changhao , Liu Ziyang , Wang Weiwei , Wu Cunxue , Yuan Rongdi 
Published: April 2021

Abstract
A vapor injection heat pump using electric motor exhaust thermal and ambient air is proposed. This system is applied in pure electric vehicles to improve the air conditioning system consumes too much energy when the ambient temperature is lower than -15°C that affects the vehicle mileage. The compressor of two inlets connected with the high-pressure heat exchanger and the outside evaporator. Mathematical models about vapor injection compressor have been built. The performance analysis is carried out under variable conditions. The results show that the vapor injection heat pump using electric motor waste thermal and ambient air has more performance in low ambient. The optimal opening about the high-pressure electronic expansion valve (EXV) is 13%, and the optimal COP for the air conditioning system is 1.75, the car inside outlet temperature higher than 40°C.
Research on vehicle cabin temperature and thermal comfort optimal control based on fuzzy PID
Authors: Piao Changhao , Wang Weiwei , Liu Ziyang , Wu Cunxue , Yuan Rongdi 
Published: April 2021

Abstract
The heat load of the car compartment is complex and difficult to express with mathematical models. Therefore, this paper establishes a compartment physical model of an electric car through Amesim and simulates the heating process of the heat pump air conditioning system. Because the load of the passenger compartment of the car is complex and changeable, and the heat pump air-conditioning is a large inertia, hysteretic system. This study designs fuzzy rules and uses fuzzy PID to control the temperature of the passenger compartment. Fuzzy PID control has 1.6% less overshoot than PID control and 39 seconds less setting time. At the same time, this paper establishes a thermal comfort model of cabin temperature and humidity. It uses PMV (predicted average vote) and PDD (dissatisfied percentage) thermal comfort index to evaluate the passenger cabin’s thermal comfort. The PMV index controlled by fuzzy PID is more stable than the PMV controlled by PID.
Future Ceiling Design Based on Fischer
Authors: Li Yuqi , Yang Chenglong , Liao Yusen , Li Jiacheng 
Published: April 2021

Abstract
This design cleverly integrates modern machinery and control technology into the home system, and cleverly combines intelligent machinery and intelligent life, making family life more intelligent, comfortable and convenient. Use the ceiling as the carrier to realize the three-dimensional home design, make full use of the indoor top space, and solve the problems of small residential space and difficult storage. The main functions contained in this device are stored indoors. The introduction of this design conforms to the trend of intelligent family life and greatly facilitates people’s daily life.
Influence of finite element structural modification on dynamic characteristics of transmission tower
Authors: Jian Mingjian , Li Jidong , Deng Hualing , Zhang Huakai , Yuan Tangqing , Chen Yang 
Published: April 2021

Abstract
Taking a 500kV dry type single circuit angle tower as the research object, the computational modal analysis of the established finite element calculation model is carried out. It is found that local vibration occurs at the bottom of the transmission tower. The weakness of the original structure lies in the intersection of the longest web, the deformation displacement of the joint is the largest, so the structure needs to be strengthened. There are two corresponding strengthening methods: Diamond reinforcement and positive cross reinforcement. Further analysis results show that the regular cross structure has a certain strengthening effect on the original structure.
Fault Diagnosis of Rolling Bearing Based on EEMD and MMTS
Authors: Teng Lehua 
Published: April 2021

Abstract
Aiming at the non-stability of vibration signals and the inaccuracy of signal extraction of motor bearings, a fault diagnosis method based on the ensemble empirical modal decomposition (EEMD) and Multiclass Mahalanobis-Taguchi system (MMTS) is presented. Firstly, the original vibration signal is processed by EEMD and the processed signal is decomposed into a series of IMF with different characteristic time scales. Then select several IMF components in which the signal energy is concentrated to calculate the characteristic parameters of each order of IMF to construct fault eigenvector. Secondly, the fault eigenvector is used as input to construct the MMTS for fault identification. Finally, the accuracy of the method is verified by the bearing data set collected by the Electrical Engineering Laboratory of Case Western Reserve University (CWRU). The results show that the method can diagnose rolling bearing faults quickly and accurately.
Simulation Analysis and Parameter Optimization of The Electronic Controlled Injector
Authors: Nie Tao , Yang Kun , Zhou Lei , Wu Xin 
Published: April 2021

Abstract
In order to improve the dynamic response characteristics of the electronic controlled injector, a simulation model for the response characteristics of the electronic controlled injector was established. By comparing the calculation results of the simulation model with the experimental results, the validity and accuracy of the model are verified. The influence of inlet hole diameter, outlet hole diameter and needle valve diameter on the dynamic response characteristics of the needle valve of the electronic control injector was studied. The results show that the closing delay time of the needle valve decreases with the increase of the inlet hole diameter of the control chamber, the opening delay time of the needle valve decreases with the increase of the oil outlet diameter of the control chamber, and the closing delay time of the increase of the diameter of the needle valve and the opening delay time decreases. An orthogonal experiment with three factors and four levels was designed to optimize the structural parameters of the electronic control injector. The optimized results show that the dynamic response characteristics of the injector are improved.
Solving the Optimal Strategy of “Crossing the Desert” Based on Dynamic Programming
Authors: Chen Zhou , Liu Qingxing , Cai Yuxiang 
Published: April 2021

Abstract
In real life, many practical situations need to maximize the benefits under certain conditions. This paper studies the B problem of the 2020 National College Students Mathematical Modeling Contest. Through the establishment of a mathematical model, a combination of weighted undirected graphs, dynamic programming, computer simulation and multi-person non-cooperative models are used to discuss different conditions. The best decision and maximum benefit. For question one, get the maximum benefit of the first and second levels; for question two, solve the strategies that players should adopt for the third and fourth levels; for question three, it is concluded that players should use under normal circumstances Specific strategies.
Airborne infrared aircraft target detection algorithm based on YOLOv4-tiny
Authors: Hou Xiangguan , Ma Jianwei , Zang Shaofei 
Published: April 2021

Abstract
Aiming at the problem that the current aerial infrared aircraft targets are blurred, low contrast, and susceptible to noise interference, which can lead to inaccurate recognition, an improved YOLOv4-tiny infrared aircraft target detection method based on cavity convolution is proposed. First, in order to make full use of the shallow features, add a parallel branch after the feature layer whose output size of YOLOv4-tiny is; then, after the first network output layer, add three parallel holes of 1, 3 respectively. 5. The depth of 5 can separate the hollow convolution layer to expand the feature map receptive field; finally, the feature fusion network is improved, the final output feature layer of the network, the improved anti-residual block extraction feature, and the size is adjusted after convolution. The prediction result is processed and output by yolo head. Experiments on the aerial infrared aircraft data set show that compared with the original YOLOv4-tiny, the detection accuracy is increased by 4.29% and the detection effect is significantly improved under the premise of less loss of detection frame rate and small weight.
Open VPN Application Under Campus Network
Authors: Zhou Zhengchun , Huang Tongcheng 
Published: April 2021

Abstract
For security and intellectual copyright considerations, colleges and universities generally have the same problem: non-campus residents cannot access many resources on the campus network. OpenVPN is an open source based on the SSL protocol, combined with the actual needs of campus network applications, it describes in detail how to use the open source OpenVPN technology on the LINUX operating platform to build a user access system. Users can quickly access campus resources by establishing a connection with the OpenVPN server through the client program. Without additional investment, the confidentiality of data is ensured. It allows users to break through the limitations of time and space, which not only facilitates users, but also improves the utilization rate of campus network information resources.
Handwriting with Brain Computer Interface
Authors: Xue Jiachi 
Published: April 2021

Abstract
BCI is the acronym for “Brain Computer Interface”, which is now used to help the patients who suffer severe spinal cord injuries to interact with the world. The BCI will record the neuronal activities from the upper motor neurons, and subsequently, the scientists can analyze and decode these neuronal activity signals to enable the patients to interact with their surroundings. R. Wilett et al., conducted a study to use BCI to allow paralyzed patients to perform handwriting, which is one of the most essential steps for the patients to communicate with others. In this essay, the paper written by R. Wilett and his team will be reviewed, and thoughts on the future development of this technology will be given at the end.
Reliable Personnel Positioning in Industrial Environments Based on Improved Adaptive EKF With Random Packet Loss
Authors: Wang Xiaoyan , Wang Wenyan , Bai Xuejiao 
Published: April 2021

Abstract
In the complex industrial environment, random packet loss may occur in the process of sensor data transmission. The traditional Extended Kalman Filter (EKF) algorithm will reduce the estimation accuracy, even lead to the divergence of the estimator. To solve these problems, an improved adaptive extended Kalman filter (IAEKF) is proposed to estimate the covariance matrix of process noise adaptively. At the same time, the forgetting factor of strong tracking filter (STF) is introduced to improve the robustness of the algorithm in the case of random packet loss. Simulation results show that IAEKF algorithm can effectively reduce the personnel positioning error in the case of random packet loss, and has better localization accuracy, meeting the requirements of industrial environment.
Correlation Analysis, Optimization and Computer Simulation of Teaching Efficiency and Blended Learning of Higher Vocational English Based on POA and CoI Algorithm
Authors: Jin Xu 
Published: April 2021

Abstract
Blended learning has become a popular form of teaching. In order to study a more scientific and reasonable learning plan, this paper uses CoI theory and POA theory to design the teaching plan. First of all, the use of POA theory output, input, output of the three stages of pre-class, in-class, after-class design respectively. The main task before class is to assign output tasks, preview the contents of the class and exchange doubts with students. In class, the teacher checks the students’ study before class. According to the students’ learning situation and output results, pertinently explain the knowledge points and summarize the information involved in the students’ independent output. Review the output according to what you have learned after class. At the same time, the corresponding teaching plans are made according to the three elements of CoI theory: social existence, teaching existence and cognitive existence. After that, it analyzes the correlation between teaching efficiency and teaching methods. The experimental results show that blended learning is better than traditional teaching methods. Finally, the optimization scheme is put forward, and the summary and prospect are carried out.
Research and Simple Calculations on Public Transport Card Data
Authors: Yang Yefan 
Published: April 2021

Abstract
Big data is one of the hottest topics nowadays. Under the background of smart city and intelligent public transport, a large number of scholars begin to use big data of public transport in urban transport planning. This paper, combined with dozens of the latest journal papers, combined with their own understanding, focuses on the development of bus IC card big data, application status and research prospects, forming a reading report.
Fluid-cloth coupling algorithm based on PBD and CCD
Authors: Huang Sijie , Zhou Kun 
Published: April 2021

Abstract
In order to simulate the interaction between cloth and fluid, we use Smooth Particle Hydrodynamics (SPH) as a method in fluid simulation, we propose a Continuous collision detection (CCD) and position-based dynamics (PBD) collision constrained iterative flow coupling method. By analyzing the parallelism of the algorithm, we implement a low storage and load balanced fluid and cloth coupling algorithm parallel computing is used to accelerate the simulation. The experimental results show that our method realizes the bidirectional coupling of fluid and cloth, and improves the simulation performance.
Research on the Computer Informatization in Multimedia Public Opinion Monitoring
Authors: Xu Chunshu , Xu Zhongyuan 
Published: April 2021

Abstract
This article designs and implements a Hadoop-based network public opinion monitoring system. The system uses HDFS as the underlying storage system, and builds a distributed database based on HBase on it for unified storage and management of public opinion information. The paper will introduce a Hadoop-based microblog public opinion monitoring system that can mine and analyse large-scale collected data, realize the discovery and tracking of public opinion hot topics, and the social network analysis of Weibo. The analysis results are visualized and presented for the party. Government agencies, large enterprises and other units and organizations discover sensitive information in a timely manner, grasp public opinion hotspots, grasp public opinion trends, and provide automated, systematic and scientific information support in response to public opinion crises.
Calculation of Pollutant Carrying Capacity in Shaanxi Section of Weihe River in China
Authors: Sun Xiaomei , Zhang Haiou , Wang Jian 
Published: April 2021

Abstract
At present, in the calculation of water pollution carrying capacity, only the guarantee rate of the driest month is 90% to calculate it. The water pollution carrying capacity of the water function area is relatively small, so it is more stricter to control the total amount of pollutants on this basis, and the actual water pollution carrying capacity is not fully utilized, which will form a significant constraint on the social and economic development. Moreover, it is inconvenient to assess the actual water environment management by using the annual pollution capacity obtained by this method. Therefore, this paper takes Shaanxi section of Weihe River in China as an example to calculate the pollutant carrying capacity under different guarantee rates, taking COD and NH3-N as the representatives of organic pollutants, and taking the national standard pollutant carrying capacity calculation model as a means to reflect the river’s pollutant carrying capacity under different guarantee rates, so as to provide reference for the comprehensive treatment of water environment in Weihe River basin.
Dynamic Patch Convolution (DPConv)
Authors: Deng Shuchao 
Published: April 2021

AbstractLightweight Convolutional Neural Networks (CNNs) due to the small amount of calculation and performance degradation, budget constraints depth (number of convolution layers), and width of CNN (number of channels), resulting in limited representation capabilities. To solve this problem, this paper proposes a new dynamic block convolution design to increase the depth or width of the model complexity without increasing the network. Instead of using a single convolution kernel in each layer, dynamic block convolution dynamically aggregates multiple parallel convolution kernels based on input-related attention. Assembling multiple kernels is not only computationally efficient, but also due to the small size of the kernel, but also has more representation capabilities. These kernels are aggregated in a non-linear manner through attention. The two methods of spatial dimension block and multi-head are used in the traditional CNN attention design. The image is divided into small images and then multiple attention mechanism weights are used for each small image. Compared with the traditional CNN attention, the experimental effect is better.
Parallel Multi-Branch Model with Multi-Resolution Interaction for Human Pose Estiation
Authors: Cai Lingyi , Liu Wei 
Published: April 2021

Abstract
In recent years, human pose estimation has become a research hotspot in the field of computer vision, and has extensive application value in many fields, such as activity recognition [1], action detection, self-drving, etc. This paper tries a novel multi-stage network structure to complete the task of human pose estimation, and focus on improving the loss of spatial accuracy caused by repeated downsampling and upsampling. The network structure contains multiple resolution subnets. After the original resolution is learned in the first stage, a low-resolution branch will be generated in each subsequent stage, and these branches can learn feature representations in parallel. Through continuous multi-scale and multi-resolution fusion, necessary information interaction between subnets of different resolutions can be carried out to obtain richer feature maps and make the predicted key point heat maps more accurate. This paper uses COCO keypoint detection dataset to obtain the relevant results of pose estimation, which verifies the effectiveness of this network.
Research on Computer Intelligent Electronic Information Sharing Platform System
Authors: Tian Rongming 
Published: April 2021

Abstract
With the rapid development of e-government construction, the total amount of government information resources has increased rapidly, and the quality requirements have been continuously improved, initially forming an open and shared environment for information resources. The information sharing and exchange platform is designed to solve the above problems. It aims to build a flexible, safe and reliable transmission system and provide a unified technical support environment for various applications. The information exchange and sharing platform is a basic platform facility for each application system, and the application system can exchange and share data with other application systems through the information exchange and sharing platform. Due to the lack of uniform data standards, specifications and formats, the comprehensive utilization level of information resources is limited. In order to build a computer intelligent e-government information resource sharing platform, this paper explores the establishment of an architecture for the organization, exchange and utilization of e-government information resources from a technical point of view, based on the existing research on the sharing methods and modes of government information resources sharing.