bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation and Application of Video Distribution Technology Based on OpenGL
Authors: Li Jiangeng , Fan Minjie , Wang Guangsheng , Sun Rihui 
Published: August 2019

Abstract
The panoramic video contains a wealth of information that vividly reproduces the surrounding scene. However, the larger video information puts forward higher requirements for data transmission, interactivity and real-time. All the video information directly shows that the phenomenon of stagnation and black screen is easy to occur, and the user’s traffic is greatly consumed, so that the payment cost of the terminal is large. In a traditional live video broadcast, the information displayed by the client is information with a fixed perspective. The client has no right to select the information, but only displays the obtained information. In order to solve the above problems, this paper has improved the traditional live broadcast mode. In this new live broadcast mode, the host side synthesizes the collected surrounding scene into a super wide-angle video. Then with the OpenGL technology, the host side performs the texture mapping, projection and other steps on the panoramic video. The host then distributes the video to the client. As a result, the client not only gets undistorted video, but also interacts with the server in real time. This approach greatly enhances the visual experience of the client.
A Fast Facial Landmarks Detection and Posture Classification Algorithm
Authors: Li Shengyong , Zhang Zhihua 
Published: August 2019

Abstract
In the field of face recognition research, the efficiency of facial landmarks detection and posture classification algorithm is a serious problem. This paper proposes a lightweight network based on convolutional neural network to quickly detect the facial landmarks of human faces. Based on this, the posture is predicted using the relative position of the obtained feature points. The model was tested by the face images captured in various scenes in real life. The accuracy and recall rate of the proposed algorithm were 96.3% and 98.2%, respectively. The test time for a single picture is 0.9ms. The proposed algorithm has less running time and its accuracy and recall rate are similar or even better than other models.
Design and implementation of book publishing topic selection system based on collaborative filtering algorithm
Authors: Bian Yuning , Li Yeli , Zeng Qingtao , Liu Mengyang 
Published: August 2019

Abstract
In view of the current book publishing topic planning may appear to rely on subjective experience of the problem. As well as book topic selection cannot be very good in line with the current hot vocabulary of this potential problem. Through the book sales market investigation, in line with the purpose of serving the book publishing industry. A collaborative filtering algorithm is used to design a business Intelligence Publishing topic selection system based on data mining. Follows are the process of processing data. First, we should put the crawl of online book information into the database. Second, filter to get the complete data we want. Finally, analysis the obtained data by collaborative filtering algorithm. This can be personalized to recommend the publishing house required keywords and the direction of the topic. Doing so can greatly reduce the burden on publishing house staff. It facilitates the development of the topic selection work of publishing house. Through the prediction of book publishing topic, we can understand the market law in a timely manner, cater to the customer’s consumption concept. In this way, we can greatly improve the efficiency of publishing house selection and reduce the consumption of human financial and material resources.
Electric Equipment Image Recognition Based on Decision Fusion of Multiple Classifiers for Electric Safety
Authors: Xiaoming Lu , Weiwei Wang , Guanqun Ma , Zejiu Ren 
Published: August 2019

Abstract
This paper proposes an electric equipment image recognition algorithm based on decision fusion of multiple classifiers. Considering the drawbacks of a single classifier, three classifiers, i.e., K-nearest neighbor (KNN), support vector machine (SVM), and sparse representation-based classification (SRC) are jointly used in the classification stage. The decision values from the three classifiers are linearly combined using a weighting strategy. So, the merits of different classifiers can be fused to enhance the recognition performance. Finally, based on the fused decision values, the object label of the test sample can be decided. To validate the effectiveness of the proposed method, images of three electrical equipments (insulators, power transformers, and breakers) are classified and compared with some other methods.
A new moving target detection algorithm
Authors: Fan Chaonan , Li Shixin , Zhang Hai , Tian Jicai , Ren Liqiang 
Published: August 2019

Abstract
The traditional GMM can easily detect the background as a moving target and is sensitive to the illumination changes. So this paper put forward a moving target detection algorithm combining the improved custom GMM with the five-frame interframe difference method. After the video image sequence is preprocessed, the GMM is added with the balance coefficient and the merged useless Gaussian distribution is combined. Then the improved GMM is combined with the five-frame interframe difference method to obtain the detected target. Simulation experiments show that the improved algorithm adapt the environment better. The improved algorithm reduces the impact of illumination changes on moving target detection, and significantly reduces the false detection rate.
Design of Intelligent Vehicle Multimedia Human-Computer Interaction System
Authors: DanNuo Jiao , Xin He , JingHan Xu , Ling Wang 
Published: August 2019

Abstract
In the wake of the continuous progress and development of the automotive industry, the automotive era has come. The development and progress of intelligent vehicle networking makes people spend more and more time in the car. Consumers’ demand and quality for automobiles are also gradually improving. While enjoying the improvement of work efficiency, rich material life and modern convenient transportation, consumers should also pay attention to driving safety, which makes the research on the direction of human-computer interaction of automobiles and their related products become an important part. In this text, the development status, related technology analysis and future development trend of intelligent vehicle multimedia Human-Computer Interaction system are discussed from various angles. Based on the research results of automobile human-computer interaction, different design concepts in different technical fields are put forward, that is, different technical fields are rooted in to provide the most efficient and safe interactive mode, such as gesture control technology, speech recognition technology, to achieve a full and convenient control interface, minimize distraction of drivers, reduce driving fatigue, and ensure driving safety.
On-line Intelligent Detection Device of Automobile Fuel Pump Valve
Authors: Wang Zhiming , Gong Sijia , Ye Wangwei , Hua Qi 
Published: August 2019

Abstract
During the specific operation of automotive fuel pumps, various types of valves, such as safety relief valves and one-way valves, will be involved. In the actual application process, if these valves cannot guarantee the normal operation status, it will have an impact on the operation effect of the automobile fuel pump. Therefore, the on-line intelligent detection device of automobile fuel pump valves is analyzed, which is conducive to timely discovery of hidden problems in the valves, and can propose targeted solutions to provide effective protection for the application effect of the valves.
Influence Factors Analysis of Ultrasonic Detection Gravel Terrain Elevation Precision Based on Orthogonal Experiment
Authors: Hu Hao , Yin Fenglong , Liao Hongbo , Lv Xianghui , Sun Ye 
Published: August 2019

Abstract
In the depth control system of clean-up collect mechanical, the influence factors of ultrasonic detection accuracy such as sensor frequency, installation height, marching speed and earth’s surface roughness are analysed by orthogonal experiment through range and variance analysis methods. The results show that installation angle and marching speed are the most important influencing factors, the installation height and surface roughness have no significant effect. In the practical application, the installation angle and marching speed should be considered firstly, the sensor frequency and installation height can be adjusted according to the terrain.
The Combination Trajectory Planning of Serial Robot in Cartesian Space and Joint Space
Authors: Ren Jun , Zhang Qianghao 
Published: August 2019

Abstract
In order to improve the working efficiency of serial robot, a new trajectory planning method is proposed. Taking 6-DOF robot as an example, the 6-DOF open-chain robot is transformed into a 12-DOF closed-chain robot by creating a virtual robot at the end-effecter. Then, the virtual joint variable of the virtual robot is used to represent the end position of the robot, and the direct relationship between the joint variable and the position attitude is obtained. The B-spline Curve is used to plan the trajectory in the Cartesian space, and the joint motion trajectories of the robot are controlled indirectly to meet the requirements of the joint space speed and acceleration. Finally, the time-optimal solution of the trajectory programming is solved by the Genetic Algorithm under the condition of satisfying the joint space and the Cartesian space.
Application of K-means Algorithm in Image Compression
Authors: Wan Xing 
Published: August 2019

Abstract
In machine learning problems, there are two main algorithms: supervised learning and unsupervised learning. Supervised learning algorithms can be used to classify data for tagged data; non-supervised learning algorithms can be used to cluster data for unlabeled data. This paper discusses the basic principles of clustering algorithm and selection of key parameters of clustering algorithm. The application of clustering algorithm in image compression is also analyzed. This paper also emphasizes the problems that should be paid attention to when using clustering. Finally, a practical case of image compression with K-means is given.
Design and Implementation of Simulation Training System Based on MVC Architecture
Authors: Hao Liangliang , Zhang Jinsheng , Ma Xiaoyu 
Published: August 2019

Abstract
With the development of technology of computer, the missile force has been developing towards informatization. A new training method based on simulation training is launched. This article mainly introduced missile simulation training system and the MVC architecture, and proposed the structure of MVC architecture design simulation training system, in the last, implementing the simulation training system for a missile weapon. The usage of MVC frame design achieved a good structure, loosely coupled and high cohesive simulation training system, which effectively improves the development and late maintenance cost of the simulation training system, and realizes that one system can meet the requirements of multiple batches of missile weapons.
Static strength calculation of auxiliary converter equipment and verification of bolt VDI2230 standard
Authors: Li Yana , Geng Zhonghua 
Published: August 2019

Abstract
Aiming at the safety performance of metro equipment structure and bolt connection strength during running,the auxiliary converter was taken as the research object. Finite element analysis of auxiliary converter box and related bolt seat, car body crossbeam and side beam had been studied under various working conditions according to load requirements in EN12663 standard.With VDI 2230 standard, bolts strength of connecting equipment and beams had been checked. The calculation results show that the stress of each part of the auxiliary converter model and blot meet the application requirements.
Study on Aerodynamic Parameter Estimation Method Based on Wavelet Neural Network and Modified PSO Algorithm
Authors: Cui Naigang , Shao Huibing , Huang Rong , Han Yepeng 
Published: August 2019

AbstractThis paper puts forward an aerodynamic parameter estimation method which combines the Wavelet Neural Network(WNN) with Modified Particle Swarm Optimization(MPSO) technique. This method directly and accurately constructs the relationship among flight parameters and aircraft aerodynamic parameters. Preliminary aerodynamic parameters and derivatives are derived from wind tunnel data. With strong nonlinear mapping ability, WNN is used to construct the relationship among Mach number, angle of attack, and rudder with longitudinal aerodynamic parameters. Then, the MPSO is used to estimate aerodynamic parameters based on the test-flight data. And WNN is retrained to amend the relationship among Mach number, angle of attack, and rudder with longitudinal aerodynamic parameters. Simulation verification indicates that MPSO has better estimation accuracy than Maximum Likelihood(ML) method. Comparison results of simulation experiments and flight-test data of a tactical missile show that simulated data based on estimated parameters matches with the flight-test data, which prove the effectiveness and validity of the trained WNN.
Research on Oil Pump for Hybrid Transmission and Development of One-dimensional Simulation Model
Authors: Shi Chongshi , Yan Chenxi , Huang Mingyu , Ni Hongjun 
Published: August 2019

Abstract
In the context of reducing energy consumption, the theoretical research on the cycloid rotorpump for hybrid transmission is carried out, and the important design parameters of the existing pump are obtained by reverse mapping. The CAE technology is used to draw the rotor curve. Based on the AMESim platform, the oil pump simulation model is built. The development of the one-dimensional simulation model of the hybrid transmission oil pump is realized, which provides reference for subsequent design, optimization and research performance.
Design and simulation analysis of 6-DOF electric platform
Authors: Li Bin , Guo Song , Mao Xuyao , Cai Biaohua , Wang Bo 
Published: August 2019

Abstract
Six degrees of freedom platform is a kind of space motion simulator, which can complete the simulation of any space motion within its allowed working range. It has been widely used in aerospace, military, automobile manufacturing, entertainment and other fields. The six degrees of freedom platform can simulate the transverse, longitudinal and heave motion of the ship under the influence of ocean environment such as wind, wave and ocean current. In this paper, the composition and structure of six degree of freedom platform are briefly introduced. Then the stress analysis of the key mechanical components of the six degrees of freedom platform shows that the main mechanical components meet the design results. The results of motion interference check show that the structure design is reasonable. Finally, through engineering application and simulation analysis, the control algorithm of six degrees of freedom platform is briefly introduced.
Calibration system of six-axis force sensor based on the Stewart platform
Authors: Lin Sheng , Pan Ying 
Published: August 2019

Abstract
Calibration accuracy of the six-axis force sensor directly affects the measurement accuracy. In this work, we designed a calibration system of six-axis force sensor based on the Stewart platform. The device has the advantages of automation control, accuracy positioning, and large loading range. The important components of the calibration system are analyzed. The electric cylinder is utilized as the driving device to apply the force. The camera and the single-axis force sensor are employed to feedback the position and force. The six-axis force sensor is fixed with the fixture composed of the T-shaped stage and the rotation table. The calibration principle and loading process of the force/moment are proposed.
Life Cycle Cost Estimation of Large Freight Cars Based on BP Neural Network Integration
Authors: Wen Hu , Dongyang Yin , XiaoChuan Chen 
Published: August 2019

Abstract
With the continuous growth of China’s economy, the demand for large freight cars is increasing day by day. Therefore, it is necessary to estimate the total life cycle cost of large freight cars. Design for cost (DFC) is a method to reduce the LCC-Life Cycle Cost from the perspective of Design. From the perspective of DFC, the design features of large freight cars are mainly obtained through analysis, such as wheelbase, rated load, torque and other parameters, and LCC is estimated based on BP neural network integration.
Research on the Construction of One-stop Full-process Digital Conference Cloud Platform
Authors: Zhang Jiankang , Zhang Xuying , Zhou Yuxin 
Published: August 2019

Abstract
The one-stop full-process digital conference cloud platform is an important basic platform for intelligent conference.It consists of network marketing, audience pre-registration, on-site intelligent registration and entry, convenient information management, booths gathering service, multi-dimensional statistical report and other service modules.The functions of the conference cloud platform cover different stages before, during and after the conference, including designing conference and planning activity, designing websites and micro-stations, etc..Therefore, it provides better digital services for managers.In order to further promote the construction of an important platform for smart conference, the government needs to provide policy support to cultivate exhibition talents, promote the cooperation between exhibition associations, universities and the exhibition industry, and promote the combination of smart conference and smart city construction.At the same time, the government needs strengthen the one-stop whole process of digital conference cloud platform construction efforts.
Application of Vacuum Preloading in Foundation Treatment of River
Authors: Xin Shi , Shanshan Lu 
Published: August 2019

Abstract
Vacuum preloading method is a commonly used dewatering and drying method for soft foundation soil in China, which has the characteristics of low cost and high treatment efficiency. Vacuum preloading method has been widely used throughout the country as a simple, fast and economical foundation treatment method. It is necessary to treat foundation before river construction revetment and upper landscape structure in order to meet the requirement of slope stability by taking a river course in a reclamation area as an example. In this paper, vacuum preloading method is used to treat soft foundation after comparison and selection of various foundation treatment methods. It is feasible to apply vacuum preloading technology to soft foundation treatment engineering of river course.
Study on Reliability Modeling of NC Machine Tool Based on Self-expansion Method
Authors: Zhang Hai-bo , Nie Meng 
Published: August 2019

Abstract
With the improvement of the reliability of NC machine tools, it is becoming more and more difficult to obtain a large number of fault data. To deal with this problem, the improved Bootstrap sampling method is proposed. The failure data, which is gained by using seven a type of NC machine tools to monitor failure data for half year, is used respectively for the improved Bootstrap sampling method and the classic series research method. The results have been analyzed and calculated, and show that the Bootstrap sampling method’s relative error is obviously lower than the classic series research method’s. The improved Bootstrap sampling method is proved to be feasible in reliability modeling.
An Automatic Test Case Generation Method based on SysML Activity Diagram
Authors: Xu Yiqun , Wu Linbo 
Published: August 2019

Abstract
Model-Based Systems Engineering (MBSE) is a new method to engineer the modern large, complex systems. MBSE has a good guarantee for system reliability and it can improve the efficiency of system development. So, MBSE has received extensive attention from academia and industry. SysML is an auxiliary language for MBSE. SysML activity diagram can model the behavior of the system. In this paper, we use SysML activity diagram to generate test case. There are two main things in our work. One is that we have designed an automated SysML activity diagram test case generation method. Second, we develop a test case generation tool to support related applications in the industry.
Neutral theory based mutation operator for Differential Evolutionary algorithms to enhance population diversity
Authors: Wang C , Liu Y C , Xu M Y , Liang X L , Zhang Q J , Guo H H , Wei Y , Chen Y 
Published: August 2019

Abstract
As an easily used and powerful heuristic search technique based on population, Differential Evolution (DE) algorithm has been widely applied for various global optimization and real engineering problems. Nevertheless, as with other Evolutionary Algorithms (EA), DE could not avoid from premature convergence due to over concentrated population, which could be called losing population diversity. In order to enhance its performance, we propose a Neutral Mutation (NM) operator for DE algorithm. This novel operator is inspired by neutral theory of molecular evolution, which claims that most mutations at the molecular level are neutral. That is to say, most variations observed are with neither advantage nor disadvantage fitness. Thus, they would not affect an organism’s ability to survive and reproduce. The NM operator maintains slightly deleterious trial vectors, which we called neutral or nearly neutral, with a certain probability in the conventional selection operator of DE. Besides, some of these trial vectors have a chance to be neutrally mutated within the search domain randomly. As a result, the population is diversified with costing negligible Function Evaluations (FEs). Comprehensive experimental results demonstrate that the presented NM operator could improve population diversity to some extent, especially when the population is not divergent at all.
Multi-objective optimization intelligent path planning for autonomous driving
Authors: Ma T Z , Chen H , Li K , Peng M 
Published: August 2019

Abstract
In order to better solve the path planning problem of autonomous driving, optimize vehicle scheduling, and minimize the total distance travelled by vehicles and the total number of vehicles, this paper proposes a multi-objective optimized intelligent path planning algorithm V-MOEA. Firstly, this paper briefly introduces the relevant problem background of autonomous driving, and introduces the model to solve the path planning problem under this background. Secondly this paper puts forward intelligent path planning algorithm for multi-objective optimization of V-MOEA, the algorithm is used to insert heuristic algorithm population structure, using the variable probability of individual optimization interchange local search method, tested the algorithm of solution and the optimal solution to the existing deviation is very small, and its efficiency and effectiveness is better than there are a lot of algorithm. Finally, the adaptability, further improvement and application of the algorithm are discussed.