bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stability Analysis and Error Estimation of Variable Coefficient Convection-Diffusion Equation: Generalized Numerical Fluxes
Authors: Liu Yuhang , Bi Hui 
Published: May 2021

Abstract
In this paper, we study the discontinuous Galerkin (DG) method with generalized numerical fluxes for one-dimensional variable coefficient convection-diffusion equation. For the convection term, we choose the upwind numerical flux, and for the diffusion term, we choose a special type of generalized numerical fluxes, thus we first show that the L
2 stability of the DG scheme. Then, by introducing the projection method, we are able to show k order optimal error estimates for the DG scheme. Finally, Numerical experiment is provided to verify the theoretical results.
A Summary on Two Types of Real Integrals Using the Residue Theorem
Authors: Liu Kaihang , Shao Liuyixin 
Published: May 2021

Abstract
It’s not easy, even impossible, to write anti-derivatives of most real functions in closed forms, which bring technical difficulty in using the fundamental theorem of calculus to compute real integrals. However, the residue theorem can be utilized to make calculations of some real integrals possible. In this survey, general methods of using the residue theorem are summarized to compute real integrals, and two specific real integrations are discussed.
Analytic Hierarchy Process Based Internship Selection
Authors: Wang Haojun , Jiang Jiayi , Sun Manrong , Xiao Yufeng 
Published: May 2021

Abstract
The summer internship is an important way for high school students to increase their social experience. However, it is difficult for high school students to choose a suitable internship due to their lack of social experience and lack of self-awareness. At the same time, the personality of each high school student is very different, and the requirements of different internships are also very different. In order to recommend suitable jobs for high school students, it established a recommendation model based on the analytic hierarchy process (AHP). Results show that the model has a very good effect.
Modeling and Simulating on the Bandwidth and Capacity of Underwater Acoustic Channel
Authors: Guo Tieliang , Li Zhijun , Zhang Wenxiang , Li Binghuai 
Published: May 2021

Abstract
For underwater acoustic communication, the acoustic signals produce great attenuation in the propagation, and the complex environmental noise leads to the extremely limited bandwidth and capacity of the underwater acoustic channel. In this paper, the bandwidth and capacity of the channel are modeled and simulated under the condition that the transmitted power spectral density is constant. The theoretical analysis and simulation results show that the lower limit of the bandwidth of the underwater acoustic channel is determined by the noise and the upper limit is determined by the attenuation of the channel. Therefore, it is concluded that the narrow bandwidth of underwater acoustic channel is determined by attenuation and noise.
Control model of Furnace Temperature Curve
Authors: Wang Xu , Sun Pengju , Bai Huibin , Zhang Dongqing 
Published: May 2021

Abstract
This paper describes a measurement of the furnace temperature profile during reflow soldering by building a computational model from which we can get the furnace temperature curve under different conditions by increasing constraints with some critical parameters calibrated. Among these, the heat conduction and convection are considered as the most important heat transfer modes.
Disentanglement of Human Facial Features and the Inspection of Feature Extractor’s Quality Based on TL-GAN
Authors: Gao Yutong , He Shiwei , Wang Guanghan , Xu Peiyu 
Published: May 2021

Abstract
Recent research on the Generated Adversarial Network models has made great progress in the task of generating images on human demand. Among them, Transparent Latent-space GAN tries to solve the problem by analyzing the latent space and finding the feature axes inside it. This model views the problem from a novel perspective, and it is easy to be carried out. However, more thorough and detailed experiments have shown that the original method on axes disentanglement of the model has certain drawbacks, which may lead to ethical problems, meaning that the model may pick up some pre-existing prejudice of racial or gender discrimination. This paper puts forward a new training mode aiming at reducing the bias existing in the generated images and simultaneously managing the disentanglement. Also, a more thorough examination of the model was conducted and it is found that the architecture of the model may be generalized to some universal functions. Among them, the quality evaluation of the feature extractor is the most practical and useful one. This finding, in turn, may be helpful for distinguishing a more accurate, effective, and robust feature extractor, thus improving the performance of the TL-GAN model in the first place.
Pedestrian inertial navigation based on CNN-SVM gait recognition algorithm
Authors: Wu Xiaomeng , Zhao Liying , Guo Shuli , Zhang Lintong 
Published: May 2021

Abstract
Pedestrian inertial navigation technology based on inertial measurement unit (IMU) has been widely used in indoor and outdoor applications in recent years. But the IMU has a relatively low measurement accuracy that leads to error accumulation. Zero speed update algorithms (ZUPT) are often used to suppress the accumulation of errors. The key to the zero-speed update algorithm is to accurately find the stance phase in the pedestrian gait cycle. In this paper, an adaptive zero-speed detection algorithm based on CNN-SVM gait recognition is proposed for pedestrian positioning. First, the CNN-SVM algorithm is used to distinguish six gaits and find the optimal detection threshold according to different gaits. At the same time, it is proposed to use the zero-angle velocity update algorithm (ZARU) to correct the angle error, and to improve the accuracy of positioning by combining the information of zero-speed update and zero-angle velocity update through Kalman filter. Finally, the validity of the proposed algorithm is verified by experiments.
Algorithm for Solving Linear Fractional Programming
Authors: Xiao Yulin , Tian Xin 
Published: May 2021

Abstract
To solve the Linear Fractional Programming system, the Charnes-Cooper Transformation is used to split the original objective function to an equivalent, simplified linear programming system. To prove the congruence of two systems, the feasibility and optimality of the linear fractional program maximizes or minimizes a ratio of affine functions over a polyhedral set is proved. In the last part of the paper, a MATLAB function is used to design an algorithm which accepts the input of parameters of a fractional polyhedral set, and outputs the optimal solution.
Weighted SRGAN and Reconstruction Loss Analysis for Accurate Image Super Resolution
Authors: Cao Hangpu , Mi Sicheng 
Published: May 2021

Abstract
Super resolution (SR) image generation is to generate a high-resolution image from a given low-resolution image, which can be used in numerous vision tasks, such as small object detection and specific image processing. Generative adversarial network for super resolution (SRGAN) is the mainstream framework in SR task, which utilizes two reconstruction losses, including MSE loss and VGG loss. However, the influence of these losses on model learning is not examined. In this paper, the importance of MSE and VGG losses is analyzed. The loss function of traditional SRGAN is improved, and the weights of MSE and VGG losses are set manually. The weights range from 0 to 1, and the sampling interval is 0.1. Furthermore, a learnable parameter to dynamically adjust the two weights is proposed. Experiments on the datasets, including Set5, Set14, BAS100, and Urban100, show that our method is capable of generating much better images than SRGAN, with higher values of PSNR and SSIM. It is found that the MSE loss makes a greater contribution to learning the discriminative model and the VGG loss plays a supplementary role. Our WSRGAN can apply to most SRGAN-based methods to improve their accuracy.
Research and Practice on the Reform of Postgraduate Teaching Mode Guided by Cultivating Compound and Applied Talents------Taking mathematical statistics for example
Authors: Guo Yanli , Sun Qiang 
Published: May 2021

Abstract
This paper takes improving the teaching quality of graduate education as the guide. To improve graduates ’ ability of solving problems in life by using mathematical statistics and statistical software, the deficiencies of mathematical statistics in teaching process, and the causes of these deficiencies are analyzed in depth, in terms of teaching philosophy, teaching content, teaching methods, teaching means, and evaluation methods. Then some solutions to change this situation are discussed, as well as the problems that we need to be concerned in the process of reform.
Sinc Numerical Methods for Time Nonlocal Parabolic Equation
Authors: Yang Mei , Zhao Fengqun 
Published: May 2021

Abstract
In recent years, more and more researchers have paid attention to the study of non-local problems. The numerical method for initial-boundary value problems of time nonlocal parabolic equations is established in this paper. The time nonlocal operator is discretized by finite difference method, and spatial differential operators is discretized by Sinc-Galerkin method. Then fully discrete scheme (D-SD scheme) for solving one-dimensional time nonlocal parabolic equation is obtained. Numerical example shows the effectiveness and superiority of the scheme for solving non-local problems.
Research on Life Distribution of Hydraulic Seal O-ring Based on Covariate
Authors: Song Xincheng , Jie Yang , Wei Wang , Li Jiawei , Hao Wang , Yi Shaoqiang 
Published: May 2021

Abstract
Due to the lack of reliable big data, data-driven methods cannot be used to study the life distribution of hydraulic components. Facing the leakage failure of the hydraulic component is caused by the failure of the O-ring wear in hydraulic contact seal, According to the O-ring adhesive wear principle and Archard model, a method of fusing the internal leakage life test of hydraulic components with the simulation experiment based on the equivalent cross-sectional diameter of the O-ring is proposed. The leakage life test and simulation scheme of hydraulic cylinder designed by this method are used to solve the life distribution of piston hydraulic seal O-ring based on covariate. Finally, the life distribution response surface is established. It is proved that the method is feasible. The method provides a data channel for studying the reliability related problems of hydraulic components.
Pedestrian Navigation Method based on PDR/INS KF fusion and Height Update for Three-Dimensional Positioning
Authors: Meng Yujing , Zhao Liying , Guo Shuli , Zhang Lintong 
Published: May 2021

Abstract
Inertial navigation system (INS) and pedestrian dead reckoning (PDR) that use wearable MEMS inertial measurement units (IMUs) can track the location of a pedestrian on two-dimensional (2D) plane. This paper proposes a pedestrian navigation method based on INS/PDR Kalman filter (KF) fusion to calculate the trajectory of a pedestrian in indoor corridors, which can effectively suppress the heading drift. Besides, the height update algorithm is introduced based on the pressure output of a barometer to constrain the height divergence for three-dimensional (3D) positioning. The results of motion experiment show that the navigation accuracy of INS/PDR Kalman filter fusion method is significantly increased compared with the INS. The proposed height update algorithm have better correction effect on the problem of height divergence compared with ZUPT-aided inertial navigation algorithm.
A fire simulation method of urban light rail station hall based on building information model and pyrosim software
Authors: Ju Yanjie 
Published: May 2021

Abstract
Fire prevention is one of the key points of emergency management of urban light rail station. Based on the data interaction between building information model (BIM) and pyrosim software, this paper integrates BIM into pyrosim software, sets up the fire scenario of urban light rail station hall, analyzes the criterion index under fire condition, realizes the fire simulation of urban light rail station hall based on BIM, and obtains the fire simulation information and available safety information. Based on building information model, a fire simulation method of urban light rail station hall is established. Simulation verification shows that this method can give full play to the superiority of BIM technology.
Analysis and Optimization of Channel Capacity Based on Modified IFR Algorithm
Authors: Zhang Aoran , Zhang Jingyue , Zhou Shiqi 
Published: May 2021

Abstract
Massage passing can be communicated over different frequency channels at the same time. With the rapid development of the wireless system, more and more wireless applications have to compete for limited spectrum resources. These days, however, the spectrum vacancy is a serious issue that has aroused many studies. Therefore, how to make use of the resource properly has become a very significant problem to be mitigated. In this paper, we first study the frequency allocation by analyzing the capacity through using the Soft Frequency Reuse (SFR) system model applied in the Cellular Networks and building up a basic SFR model. Then we analyze the influence of the temperature by modifying the interference temperature model into a basic IFR model to find the impact on the environment. Finally, this result for IFR is extended to our SFR model to study the influence of the environment for SFR.
In this model, as our expectation, with the ratio of cell radius over the center radius grows, the network capacity increases. However, due to the spectrum’s shortage, this upward trend does not emerge significantly when the ratio is over 0.75. Considering factors related to temperature, even in the simplest environment, the influence of thermal noise cannot be ignored. Therefore, it is crucial to put temperature into account when simulating a more complex model in an environment similar to the real world.
Kinematic Analysis of Tensegrity Mechanisms Based on Improved Artificial Fish Swarm Algorithm with Variable Step Size
Authors: Lin Min , Yuan Xiaodong , Lei Hui , Ji Zhifei 
Published: May 2021

Abstract
To solve complex problems via the kinematics analysis of tensegrity parallel mechanism, a method based on the variable-step fish swarm algorithm was proposed, and the kinematics of the spherical joint-prismatic joint-spherical joint (3-SPS) tensegrity parallel mechanism was studied. The kinematics model of this mechanism was first constructed using the theory of minimum potential energy. Then, the variable-step fish swarm algorithm was operated to search the forward and inverse position solutions in the solving process. The simulation results showed that the variable-step fish swarm algorithm assured favorable convergence performance and search efficiency in solving the kinematics issue of the 3-SPS tensegrity parallel mechanism. Moreover, the algorithm can be applied to workspace solutions and the kinematics analysis of such a mechanism.
Optimal travel strategy model study
Authors: He Yiming , Li Yufan , Huang Dalin 
Published: May 2021

Abstract
In this paper, we propose an appropriate algorithm to determine the best strategy of an individual in the Through the Desert game, and give the generally applicable models for single-player and multi-player games under known and unknown weather conditions respectively. We integrate ant colony algorithm, branch-and-bound method and game theory to build and solve the optimization model.
The integration and application of BIM and GIS in modeling
Authors: Zhang Hang , Yuan Xitun , Yang Xiongfei , Han Qi , Wen Yongxiao 
Published: May 2021

Abstract
Refinement, intelligence, and standardization are the core requirements of today’s urban construction management. From the current situation, it is impossible to meet the needs of future urban construction and management by relying on a single technology. The integration of GIS and BIM provides new opportunities for urban construction management. GIS provides a basic framework for the construction and management of today’s cities, and BIM provides an accurate information model of a single building for urban construction management. The integration of GIS and BIM will bring new ideas and methods to city construction and management. A large number of high-precision BIM models provide detailed building information for city management and provide richer information for the construction of city 3D models. Although the fusion research of GIGIS and BIM has clear directions and urgent needs, the fusion research work of the two is still in the initial and exploratory stage.
Design of ship route through waterway based on dynamic programming
Authors: Zhengping Tang , Chao Ji , Xiaohai Wang 
Published: May 2021

Abstract
Aiming at the problem that the traditional route selection of ships is difficult to meet the requirements of precision and rapidness, based on the two-dimensional structure space of the grid sea area, a route planning model of ships passing through waterways is established, and a method to realize the optimal route based on the dynamic programming algorithm is presented. The simulation results show that the algorithm is an optimization algorithm for the local route planning of ships.
First-principles study on electronic structure and optical properties of N-Fe co-doped ZnO
Authors: Wei-rong Qiang , Xiao-mei Wang , Wei-qi Liu 
Published: May 2021

Abstract
In this paper, the electronic structure and photo-electric properties of N and Fe co-doped ZnO systems have been studied by using Density functional theory method. The results show that the formation energy of ZnO-N, ZnO-Fe, ZnO-N-Fe and ZnO-N-2Fe systems decreases in turn, the doping is easier to realize. Compared with the ZnO system, the activity of ZnO-Fe, ZnO-N-Fe and ZnO-N-2Fe systems increases in turn, the band gap of ZnO-N and ZnO-N-2Fe systems decreases, and the electron transition is easier in the doped system. The peak of the dielectric function shifts to the left, the absorption of the electron to the photon increases obviously, and the absorption spectrum appears red shift. It can be concluded that the electronic structure and optical properties of ZnO are greatly affected by the single and co-doping of N and Fe, which provides a theoretical basis for the further study.
Feasibility Study on Environmental Adaptability Test Platform of Rescue Drilling Rig
Authors: Dong Fan , Feifei Lu 
Published: May 2021

Abstract
The environmental adaptability test platform of rescue rig mainly studies the environmental adaptability of ground and underground emergency rescue rig, lifting and rescue cabin and other equipment. It provides verification means and standard basis for safety, and improves the reliability and adaptability of drilling rescue technology and equipment. It provides a platform for emergency rescue drill, actual operation and scenario simulation. After the completion of the platform, it has reached the international advanced level.
Research on Real-time Monitoring System of Motion Carrier Based on Satellite Positioning
Authors: Wendi Xie , Qijian Wang 
Published: May 2021

Abstract
The system uses CC2541 as the main control chip and mounts PCB antenna to realize Bluetooth wireless communication. GPRS wireless communication adopts SIM900A chip, which provides wireless link for users to upload data to the cloud. The satellite positioning module adopts ZOE-M8Q chip, supporting up to 12 satellite positioning; The cloud SERVER uses Windows Server 2012RC operating system to realize data monitoring and collection. Its based on satellite positioning data can be in the service of Android, IOS, and remote server monitoring system, and serving for the latitude and longitude, speed, time, mileage and other status information recording, storage of the carrier (unmanned vehicle, unmanned aerial vehicles (uavs), etc.). At the same time it can realize the solar energy conservation and emissions reduction, the cloud server storage and data processing through technologies such as GPRS and Bluetooth.
The fitting of three-body potential energy of solid argon
Authors: Zheng Xingrong , Su Li , Xie Kaiqiang , Chen Jingtong , Li Yujie 
Published: May 2021

Abstract
Based on atomic crystal configuration and the CCSD(T) calculation results, we obtain the fitting result of three-body potential energy of solid argon by fitting ab initio calculation results of this work, and make a comparison with the previous calculation results. Finally, we study and analyze three-body potential fitting results. It is concluded that the fitting curve is a simple and accurate tool to understand the high-pressure behaviors of solid argon, and the results are in very good agreement with ab initio calculation results, the recent experiment results at the present experimental pressure range.
Inhibition of Nitride Precipitation in a Fe-Cr-Mn-Mo-N High-Nitrogen Austenitic Stainless Steel through Grain Boundary Character Distribution Optimization
Authors: Shi F , Hu J , Wang L F , Guan X J , Liu CM , Li X W 
Published: May 2021

Abstract
The precipitation behavior of the second phase in Fe-18Cr-17Mn-2Mo-0.85N high nitrogen and nickel-free austenitic stainless steel after grain boundary character distribution (GBCD) optimization was investigated. The results show that the fraction of low Σ coincidence site lattice (CSL) boundaries increases from 47.9% for the solid solution treated specimen to 82.25% for the specimen cold-rolled by 5% and then annealed at 1423 K for 72 h (r5%-a1423 K/72 h). Compared with the solution treated sample, nitride precipitation is obviously restrained and the fraction of precipitates is the least in r5%-a1423 K/72 h sample with the highest proportion of SBs. The appearance of a high proportion of CSL boundaries with low energy inhibits the nitrides precipitation through GBCD optimization.
Application of autonomous navigation in robotics
Authors: Ju Wenshuai 
Published: May 2021

Abstract
In recent years, the robot industry has made great progress, and has been widely used in automobile manufacturing, machining, transportation agriculture, medical treatment, food and other aspects. The autonomous navigation is a key technology in the development of robot intelligence. Therefore, this paper extensively investigates the applications of autonomous navigation technology in the transfer robot, the medical robot and the agricultural robot. And we analyze and summarize the developments and applications of autonomous navigation related basic technologies, such as autonomous positioning technology, sports planning technology and 5 g communication technology. Finally, the future development prospect of robot technology and the autonomous navigation technology is given.
The Development of Color Display Technology
Authors: Xu Jingyi 
Published: May 2021

Abstract
Light-emitting devices play a vital role in people’s lives, and their extremely wide application has won the attention and research of many scientists for a long time. Light emitting diode based on semiconductor energy band and electro-optical conversion is the mainstream light-emitting devices. Furthermore, control the light by nano optical technology such as plasmon effect and the quantum dot is also attractive. This article reviews the latest research progress of the above three light-emitting devices and their principles and characteristics. Finally, we briefly summarized the advantages and disadvantages of these devices, as well as the possible development directions and potential applications of the next generation light-emitting devices.