bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiments Design on Contrastive Measuring of Assignment between Signal and Variable in FPGA
Authors: Zhou Huanyin , Hu Jiewei , Xie Yanhui , Huang Weiqi , Yang Zhongping , Lu Zhanzhan
Published: November 2019

Signal and variable are two kinds of important data objects in FPGA. They are widely used in FPGA digital system design. It is pointed out that their assignments are different in many textbooks. A variable can be assigned immediately but a signal can not. The difference of assignment is hard to understand because signal and variable have some similarities and they are abstract. In this paper, some experiments of gate circuit ring vibrator are designed ingeniously to study the difference of assignment between signal and variable in FPGA. The assignment of the two data objects is contrastively measured, and the measurement principle is analyzed. According to the experiments, the assignment difference is demonstrated clearly.
Application of microservice in electric power unified modeling platform
Authors: Yang Qiang , Xie Shanyi , Huang Shu , Zhang Ziying
Published: November 2019

Electric power unified modeling platform based on the traditional monolithic architecture has some disadvantages of monolithic architecture application, such as limited scalability and inflexible upgrade and deployment, etc. This paper proposes how to apply microservice to solve these problems, and make the platform more flexible and efficient in the process of data application, function extension, upgrade and deployment. The integration method of microservice and existing service architecture, and the implementation strategies of identification, deployment, registration, discovery and security access control of microservice are introduced in detail. The practical application of microservice in task management, data analysis, and data access has verified the effectiveness of the scheme. The application of microservice enriches the service category of the platform, simplifies the data access mode, and enhances the convenience of interaction with the platform.
Radar digital beam research and battlefield experimental simulation of air-sea integrated
Authors: Lu GuiLin , Tu Jian , Wang ShaoHong
Published: November 2019

We have studied the electronic warfare design scheme of airborne integration sharing a radar digital beam. This multi-beam integration technology adaptively switches from one type of system radar to another type of system radar according to different detection targets..Due to various bandwidths, the study of various target spectrum conversions of different bandwidths from the notch angle, the narrowband interference in the broadband environment, and the interference of the spectrum template, it is adopted that the recursive neural network algorithm optimization using multiple beams,the beam forms a null trap at the frequency of the interference, thereby solving the waveform interference problem of different targets, and realizing the effect of the integrated communication of the air-sea integrated communication of the conformal antenna,and simulation experiments, and achieved good results.
Prediction method of silicon content in blast furnace hot metal based on IPSO-HKELM
Authors: Hu Kaifei , Hu Qinghe , Liu Chongmin , Zhang Shuang
Published: November 2019

Aiming at the problem that the silicon content of molten iron can not be detected online, a model for predicting silicon content in molten iron based on Hybrid Kernel Extreme Learning Machine optimized by Improved Particle Swarm Optimization Algorithm (IPSO-HKELM) is proposed. Firstly, the input variables are reduced by PCA, and then the prediction model of molten iron content based on HKELM is established. In this paper, PSO is used to optimize the kernel parameters of HKELM. Aiming at the problem that PSO is easy to fall into local optimum, the Inertia weight reduced with the number of iterations and the random back-based learning mutation operation are introduced, so that PSO can jump out of the local minimum point more easily and get the optimal result. Experiments show that the prediction model of silicon-based silicon content based on IPSO-HKELM has high prediction accuracy and short time, which can meet the actual production needs.
Research on Vibration Fatigue Life of Commercial Vehicle Stent Based on PSD Spectrum
Authors: Yuan Z W , Sun L , Zhu S M
Published: November 2019

The battery frame stent structure is a significant part for a commercial vehicle, which often suffers from fatigue damage. In order to solve this problem, the principle of structural vibration fatigue analysis is discussed and the vibration fatigue of the battery frame stent structure is studied in this paper. Prompting acceleration of the stent and strain time history of the dangerous points are obtained by carrying out the load collection test under specific road conditions. Through the analysis of the strain at the dangerous points, the maximum stress and weak parts are obtained, which provides a reference for the fatigue life analysis. The fatigue damage distribution of stent is got out by carrying out stent vibration fatigue analysis based on Dirlik model and acquired prompting acceleration PSD spectrum. After user feedback, the predicted position and life are more consistent with the actual situation.
Study on jamming mechanism of the planetary roller screw mechanism
Authors: Cai Wei , Liu Geng , Ma Shangjun , Qiao Guan , Du Chuanming
Published: November 2019

This paper explores if there exists jamming phenomena in the planetary roller screw mechanism. Three kinds of jamming phenomena, such as mechanical jamming, dead point jamming, and self-locking jamming, are elaborated by using static analysis of the planetary roller screw mechanism. The results show that mechanical jamming and dead point jamming won’t happen in the planetary roller screw mechanism under the condition of high strength materials, high post-treatment hardness and without regard to error. And when the nut bears unbalanced loads or when the nut and the roller may self-lock in small pitch, the variation of input torque and output velocity is analysed by dynamics simulations. The fact that the planetary roller screw mechanism will not be self-locking jamming is verified.
A Computing Model of Foil-surface-type IR Decoy Radiation Based on Pyrophoric Multi-hole Activated Metal Combustion Model
Authors: Wang Biao , Wang Chaozhe , Yang Yongjian , Huang Jinke
Published: November 2019

A computing model of foil-surface-type IR decoy radiation which considers the changes of combustion time, relative air velocity and height of the decoy is established in this paper. The diffusion concentration of oxygen in the pyrophoric multi-hole activated metal is studied firstly. By solving the heat balance equation of foil, the combustion model of foil is established. Based on this, the infrared radiation of a single foil is calculated and verified by comparison with the experimental results. Finally, the infrared radiation characteristics and the infrared image of the whole foil-surface-type IR decoy are obtained. The calculated results are in good agreement with the experimental measurements, so the computing model provides an effective method for predicting the combustion temperature of foil-surface-type IR decoy under high-altitude and high-speed launching conditions…
Design and Simulation Analysis of Seedling Picking Mechanism of Pot Seedling Transplanter
Authors: Liping Xiao , Chuang Pu , Jinping Cai , Jinlong Lin , Han Cai , Liangliang Huang , Fangqian Deng
Published: November 2019

Aiming at the problems of complicated structure, difficult processing and high cost of transplanting mechanism of pot seedling transplanting machine, this paper develops a kind of crank and rocker type transplanting mechanism. The mechanism consists of transplanting arm, eccentric wheel, connecting rod and cylindrical cam seedling clamp. This paper analyzes the working mechanism of the seedling picking mechanism, and establishes the geometric relations among the components by selecting the appropriate parameters of the seedling picking and releasing points of the crank and rocker mechanism. A set of optimal solutions are solved iteratively by using the software of Matlab. Meanwhile, the cam mechanism used to control the opening and closing of the seedling clamp is designed by using the geometric characteristics of the seedling clamp and the periodic characteristics of the seedling clamp, and the results of Matlab are modeled in SolidWorks and imported into Adams for virtual simulation analysis. The analysis results showed that the seedling clamp could reach the pre-set position to pick and release seedlings smoothly through the movement of the seedling picking mechanism, which verified the correctness of the mathematical model of the seedling picking mechanism.
Research on fault diagnosis method based on KPCA-SDAE
Authors: Hu Qinghe , Sun Peng , Zhang Shuang
Published: November 2019

The complexity of modern chemical processes is increasing, and the degree of process automation is also improving. In order to extract further features and diagnose the faults of TE process accurately, steadily and quickly, this paper presents a method of using Kernel Principal Component Analysis (KPCA) and Stacked Denoising Auto-Encoder (SDAE) to extract the secondary features and using softmax to classify the faults. Firstly, the KPCA is used to reduce the dimensionality of the data, reduce the irrelevant feature information, and prepare for further feature extraction of SDAE. Then SDAE is used to extract features through unsupervised pre-training and supervised global fine-tuning, and effective feature information is obtained for classification. Finally, softmax classifier is used to classify the extracted features, and fault state recognition and classification of TE process are realized. Experiment results show that this method can extract feature information successfully, identify fault types accurately, and its accuracy and training speed are better than those using SDAE alone.
Research on rolling bearing fault diagnosis of high-speed train
Authors: Zhuo Wang , Yu Zhang
Published: November 2019

The rolling bearing is the main vulnerable component of a rotating machinery on high-speed train, which is very important to the safe operation of high-speed train. Based on the fundamental analysis of the causes of rolling bearing faults on high-speed trains, the feasibility of wavelet packet analysis and BP neural network in rolling bearing fault diagnosis of high-speed trains is discussed. In this paper, wavelet packet is used to denoise data and extract features, then the training BP neural network is used to diagnose and analyze the characteristic data accurately, and the diagnosis results are obtained. By comparing the training results, the number of wavelet packet decomposition is determined, and the accuracy of BP neural network diagnosis is improved. In this paper, the analysis is carried out by using the bearing data of American electrical laboratory “Case Western Reserve University”, an efficient and fast method for rolling bearing diagnosis is presented, which can be applied to real-time fault diagnosis and monitoring of rolling bearing faults for high speed train.
Research on Load Collection Technology of Loader Working Device
Authors: Zhu S M , Yuan Z W , Sun L
Published: November 2019

A convenient and feasible load collection technology for 5 ton loader working device is proposed in this paper. Based on the force characteristics of the working device and mechanics theory, the theoretical calculation model of external load is established. Firstly, the static load test shows that the relative error of the load value between the theoretical calculation and the actual apply is less than 5%. Then, the loader is subjected to the dynamic load test under a typical clay material. The external load values are obtained based on the theoretical calculation model and Adams dynamic simulation. The results show that the external load values between calculation and the simulation are basically the same. This proves that the load collection system is credible, which can provide the basic data for the structural design and the bench test and the fatigue analysis of the loader working device.
Development and application of lifting and levelling system for space station
Authors: Pengfei Wang , Xiaodong Zhang , Shuai Xing , Tonghui Liu , Chengli Zhang
Published: November 2019

In this paper, the characteristics of the hoisting assembly process of the space station are analysed. The adjusting parameters of suspension under different eccentric conditions are explored. The scheme of the hoisting levelling system during the hoisting process of the space station is put forward, and various levelling means are given. Through collecting and analysing the geometric parameters of the distance from the horizontal plane during the hoisting process, the relative position and posture of the space station and the horizontal plane under the current state are obtained. Through theoretical calculation and analysis model, the levelling control software is compiled, and the automatic levelling of the space station is realized. The feasibility and accuracy of the design scheme are verified by laboratory results and actual levelling analysis. The controllability, stability, convenience and safety of the space station hoisting operation are improved.
Design and Implementation of Software Architecture for Automotive Green Supply Chain Based on Microservices
Authors: Chen Chen , Dong Changqing , Cai Jianjun , Ding Qiang
Published: November 2019

In order to realize effective control of green procurement, manufacturing and recycling in the green supply chain of automobiles, an automotive green supply chain software architecture based on micro-service architecture is proposed. This architecture contains data acquisition technology , environmental compliance evaluation technology, hazardous materials and collectible materials collection and analysis technology. The system architecture splits the overall application of automotive green supply chain management into multiple services, and APIs are used for communication and collaboration between services. It has been proved by experiments that the micro-service-based automotive green supply chain software architecture can control, track, analyze and record information on automotive materials and components in real time, and give corresponding evaluation of environmental compliance, and label hazardous substances and recyclable materials. It solves the problems of material data information flow lag, low management efficiency, and inability to flexibly expand the system architecture in the green supply chain of automobiles, and provides an effective vehicle green supply chain management and analysis platform for automobile manufacturers.
Experimental study on liquid distribution in a vane type propellant tank
Authors: Jintao Liu , Yong Li , Wen Li , Lei Chen , Chongwu Guo
Published: November 2019

Propellant tank is used to store the propellant in propulsion system. Propellant management device (PMD) is the key component in propellant tank to manage the liquid propellant under zero gravity. A microgravity drop tower test system was established to investigate the performance of PMD. A kind of vane type propellant tank was used for the drop tower test. Single module was used for experiment tests, and the microgravity level wass between 10-2g0 and 10-3g0. The anhydrous ethanol is used as analogue liquid. Different volume fraction of liquid were used to study influence of the PMD on the management performance. Changes of gas-liquid interface during the test are studied. Velocities flow along the vane of different liquid volume fraction in the tank are different at the beginning (t<0.8s). The liquid reorientation time is 0.8s when the liquid volume fraction is larger than 10%. The liquid reorientation time is prolong when the liquid volume fraction is less than 10%. The liquid climbing height along vane under microgravity increases as the volume fraction of liquid reduces. Experimental results provide a favorable reference for further optimization design of vane type propellant tank.
Research on Structural Design of Land and Space Inspection Robot
Authors: Cao P Y , Dong J J , Wang J W
Published: November 2019

The quadrotor is an aircraft that can take off and land vertically, and it is often used for target search and tracking of tasks. In order to further enhance the flexibility and endurance of the drone, a land and air inspection robot is designed. The land and air inspection robot is combined by a drone and a smart car. While driving, if the obstacle is not the case, the robot uses the landline equipment, otherwise, the rotor is used. The motion simulation analysis is carried out through 3D modeling to achieve optimal mechanical design. Through flight design calculation, the self-anti-jamming flight algorithm is obtained. According to the actual measurement, the design of the land and air inspection robot can achieve the expected results, and it can be widely used in the inspection tasks of factory monitoring, anti-terrorism, search and rescue, forest fire prevention and other occasions.
A New Fault Diagnosis Method of Flexible OSC Clamp
Authors: Tian Xingjun , Yao Qi , Yao Yufeng , Zhang Tao , Lei Yuntao , Li Jiu
Published: November 2019

The capacity and safety of train transportation mostly depends on the working state of the flexible overhead contact system (OCS) clamp in the traction power supply system. The notable feature of the clamp loosening problem is its temperature change. Due to the influence of long-distance measurement, environmental factors, the traditional signal processing methods for temperature measurement have basically failed. The feature analysis method combined with empirical clustering and time series analysis can effectively determine the thermal health status of bare conductors in the overhead contact line and realize the diagnosis of the thermal state. In order to eliminate the much interference in measurement process, the data is pre-processed based on the point density criterion, and then the clustering method of big data is used to calculate the relative proximity of the sampled data, the normal data and the historical fault data. And the time-series similarity analysis method is used to obtain the predicted fault development time of the hidden equipment. Experiments show that the method can accurately identify the thermal health of bare conductors, the concept is clear and the algorithm is simple.
Automobile tire pressure monitoring technology and development trend
Authors: Xin Quan , Jingfeng Gong , Junjie Guan , ri Bai , Mingxing You , Pian Zou
Published: November 2019

Automobile puncture is one of the major hidden dangers of frequent traffic accidents. Accurate and real-time monitoring of tire pressure of automobile tires is of great significance for improving vehicle safety and improving traffic status. This paper first summarizes and analyzes the published technical methods of automobile tire pressure detection, and analyzes the advantages and disadvantages of related detection methods in combination with previous research results. Finally, this paper proposes a development direction of the tire pressure system. The tire pressure and tire temperature signals obtained by the tire pressure monitoring system are used as the correction amount of the ABS system control signal, and the tire pressure and the tire temperature can always be controlled within a safe range. It can also reduce the chance of tire’s bursting due to sudden braking and improve the reliability of the ABS system.
Design of welding control system based on Siemens PLC
Authors: Yuan Minghai , Huang Weijun , Zhang Xiteng , Tian Shumin
Published: November 2019

In order to accelerate the rapid development of the automobile manufacturing industry and improve the competitiveness, a welding control system of automobile dashboard bracket based on Siemens PLC is designed. The welding control unit of automobile dashboard bracket takes Siemens PLC as the control core, to realize real-time control with welding fixtures, robots, the sliding door with monitoring, the shutter door and other parts through a touch screen. The entire design system realizes welding control of automobile dashboard bracket, meeting production process requirements, effectively reducing costs and improving production efficiency.
Optimum Design and Research and Application of Protective Tools for New Generation Apogee Engine
Authors: Liu Zhibin , Xia Yongquan , Wang Yuhui , Yin Pu , Lu Yi , Wang Yu
Published: November 2019

The new generation apogee engine is the key equipment in the satellite propulsion system, and accompanied by the whole life cycle of AIT development and production. Therefore, there are many assembly processes around the new generation apogee engine itself and its surroundings, and the engine belongs to the star catalogue prominent product, which has the risk of bumping and scratching. In this paper, a new generation of apogee engine protection tooling is designed, and the general design and detailed design are carried out. The implementation effect is good. It can be extended to all models equipped with a new generation of apogee engine to meet the needs of scientific research and production.
Mechanism Design and Kinematics Analysis of Spider-like Octopod Robot
Authors: Yang Zihao , Yuan Minghai , Shi Xinhui , Yang Zenan , Li Mengyuan
Published: November 2019

Based on the study of spider motion, a spider-like Octopod robot is proposed and its forward and inverse kinematics are analyzed. The position of the end of the mechanical leg in space at certain joint angles and the rotation angles of each joint when the end of the mechanical leg is positioned in space can be obtained.
Research on a Wave Power Generation and Anti-rolling Device for Ships
Authors: Liu Li , Guo Liming , Hou Puyue , Zhou Yuying
Published: November 2019

Inertial wave energy converter is a new technology to extract wave energy. The existing research mainly applies it to autonomous underwater vehicle or special wave power generation equipment. This paper explores the application of inertial wave energy conversion technology in ships to convert wave energy into electrical energy while reducing ship sway. Taking a work boat as an example, this paper first establishes the ship model in ANSYS and uses the panel method based on potential flow theory to obtain the hydrodynamic parameters of roll motion. The rolling random wave moment is simulated by equal frequency method. The mathematical model of the wave-ship-gyro system is described, and the system is simulated in the Simulink environment. Some physical limitations of the device and the classic passive PD controller of this system are introduced. The focus is on how to select the gyro angular momentum at the beginning of the design to match the ship to achieve the best power generation effect. Finally, the simulation results are analysed and the new power generation technology is evaluated.
Application Research of Slag-removing Robot for Zinc pot on Hot-dip Galvanizing Line
Authors: Bai L , Yue C F , Li D J
Published: November 2019

Metallurgical industry mostly works in high temperature, high pressure, dusty and other harsh environment, where applied research Metallurgy robots started late. In recent years, the application research of metallurgical robots has gradually gained the attention of everyone. The hot dip galvanizing pot slag is usually operated manually, the working environment of the workers is bad, there is with a large safety hazard, and the process of controlling the slag is difficult. The use of slag-removing robot instead of labor is applied to the hot-dip galvanizing line, which is the trend of intelligent and automated development of the coating industry.
Measurement and Calculation of Speed Profile for Rotating Machinery
Authors: Qihe Liu
Published: November 2019

The vibration signal angular domain resampling of rotating machinery depends on the speed profile. To obtain the speed profile, n ribbons of uniform width with black and white were pasted along the circumference of the shaft. Key phasor pulses were picked up by photoelectric sensor, and the threshold of the sampling sequence was calculated. Key phasor time vectors were calculated according to the threshold and the sampling sequence. The rotating speed was calculated by the key phasor time vector and the midpoint coefficient of the Lagrange 7 point interpolation differential. The speed profiles of single key phasor pulse, 4 key phasor pulse and digital encoder with 60 pulses per revolution are measured by using LabVIEW program simultaneously. It shows that the smoothness and the calculation accuracy of the speed profile can be improved by using multi key phasor pulse per revolution.
Simulation Research on Damage Identification of Plate Weld Based on Correlation Vector Amplitude Vector
Authors: Lin Lizong , Zhang Xin , Chang Haoyuan
Published: November 2019

A method for detecting the quality of the plate weld based on the cross-correlation function magnitude vector is proposed. In the large-scale plate welding process, the weld is the most vulnerable part of the damage. This paper proposes a method to accurately determine the location of the weld defect. In this paper, the finite element software ABAQUS is used for numerical simulation to establish a plate weld model, and the weld area is divided into 19 units. In order to avoid noise interference, a 10 second 1000N stationary random excitation is used, and 10 excitation reference points are arranged around the random excitation point, and the best reference point is determined by the simulation result. The damage of each weld unit is characterized as the decrease of Young’s modulus, the acceleration response is collected at the joint of each weld unit, and the single defect, double defects and multi-defects conditions are simulated respectively. The numerical results show that the cross-correlation amplitude vector method can always accurately locate the defects under various damage conditions.
Parameter optimization of governor for hydropower turbines to improve damping characteristics and regulation rate
Authors: Liu Donghao
Published: November 2019

Due to its characteristics, hydropower turbines may provide negative damping in the process of ultra-low frequency oscillation. It is necessary to improve the response of hydropower units in the process of ultra-low frequency oscillation by adjusting the PID parameters reasonably. Although the adjustment of PID parameters can significantly improve the damping characteristics of hydropower turbines, it will sacrifice a certain speed of regulation, which is not conducive to the primary frequency regulation of the system. Through the establishment of the hydroelectric turbines model, the damp and regulating speed are optimized as the control objectives, so that better parameters can be obtained to suppress the ultra-low frequency oscillation of the system.
Improved FAHP Evaluation of Comprehensive Performance of Mechanical Products
Authors: Jin Qichun , Yang Xiaojian , Hu Yuan , Lu Shourong , Cheng Yanhai
Published: November 2019

In order to overcome the characteristics of multi-dimensionality, fuzziness and uncertainty in the evaluation of comprehensive performance of mechanical products, the Improved Fuzzy Analytic Hierarchy Process is used to perform the evaluate. An evaluation index system is established, the weight of index in consolidated layer is determined by the Analytic Hierarchy Process, and the weight of index in the item layer is determined by Valuation Method. The variance is used to test the volatility. The degree matrix of membership is constructed using the Fuzzy Comprehensive Evaluation, and the vector of the target layer is obtained by fuzzy calculation. The result is obtained according to the principle of maximum membership degree and by calculating the comprehensive evaluation value. An case study has been given to illustrate the application of Improved FAHP, which effectively solved the problem.
Research on Single-Phase Grounding Fault Location Technology
Authors: Xiping Zhang , Zhiqiang Wang , Zehui Dai , Yutao Hu , Songshan Hui , Danfeng Si , Suzhen Mei
Published: November 2019

In view of the complex structure, large scale and high failure rate of distribution network, as well as many branch lines, large transition resistance, difficult to detect fault signals and difficult to locate accurately., A single-phase grounding fault location method based on single-terminal measurement for distribution network with multi-dominant transmission lines is proposed. This method can solve the problem of reliable monitoring of small current grounding fault through data processing and analysis of measuring units installed at substation equipment and line end, find grounding fault line in time, find fault point, and adopt corresponding treatment measures to block the impact scope of user branch line accident, restore the power supply of non-fault line as soon as possible, and reduce the outage time. Providing further reliable power supply fundamentally solves the problems of reliability and safety of power supply in distribution network. This method only needs to synchronously measure the voltage and current at each end of the line when the parameters of the line are known. The method is simple and the measurement accuracy is high. By locating the single-phase-to-ground fault of multi-dominant power lines, the results show that the method is correct and accurate.
A coaxial thickness measuring device for full-width banknote based on hall effect
Authors: weisong Yang , shukun wang , wei song
Published: November 2019

In this paper, a multi-channel banknote thickness measurement mechanism based on hall effect is designed to meet the demand of banknote identification for the cash circulation module of financial instruments. It uses coaxial type rocker mechanism to mechanical amplification of the thickness of the banknote, translates the magnetic steel with hall sensor location change into money thickness signal, and the signal is amplified, filtered and calibrated to form a banknote thickness image. Finally, the detection results of the whole paper currency are obtained through calculation, so as to realize the detection and identification of the whole paper currency tape, folding and partial damage.
Sales Forecast of CNC Machine Tool Suppliers Based on Ensemble Learning
Authors: Zhong Kai , Wen Jiwen , Zheng Jia
Published: November 2019

CNC machine tools, whose product sales forecast is a complicated dynamic process, are the basic equipments for manufacturing industry. It is difficult for a single prediction model to achieve the expected effects because product sales can be affected by multiple factors with features like time-varying, non-linear and random. This paper, which takes the sales data of a CNC machine tool supplier as an example, designs an ensemble learning model based on XGboost and random forest, obtaining lower prediction error through data cleaning, data conversion and parameter optimization. The experimental results show that the generalization ability of this model is excellent, so it can provide decision supports for CNC machine tool suppliers in purchase and sales plans.
An Automatic Grabbing Method of Manipulator Based on Monocular Ranging
Authors: Zhang Chenyu , Huang Mengxing , Wu Di , Ding Yiyin , Ding Yiyin , Chen Weizhe , Xiao Jin , Chen Rong
Published: November 2019

Most existing studies on manipulator focus on the field of teaching and research. Other manipulators used for industrial production also have several disadvantages, including high cost, complicated control and low flexibility. Accordingly, in this paper, a simple automatic grabbing method of manipulator is proposed based on monocular ranging. The method is developed via the openmv vision platform. First, the target object is identified in the lens, the linear distance of the lens from the target object is calculated through monocular ranging, and then the inverse kinematics of the manipulator is exploited to calculate the rotation angle of each steering engine. Next, the contradiction between system speed and impact is balanced using the five-time curve trajectory optimization algorithm. The results of tests suggest that the method can achieve accurate capture of the target object in the grab range. The method, compared with the teaching and even the engineering manipulator system, is characterized by lower cost, simple and flexible control. Besides, it can be used to implement simple tasks in industry.
Design of Train Carriage Abnormal Noise Alarm System Based on Zigbee
Authors: Zhang Yongsheng , Liu Miaomiao
Published: November 2019

In order to realize the timely and accurate alarm for abnormal conditions in train carriages, a scheme of abnormal noise alarm system based on zigbee is proposed. The overall system architecture as well as the hardware and software structure of each node is designed. Meanwhile, the workflow and implementation process of each module are elaborated in detail. The system includes five parts: sensor node, zigbee router, coordinator, video module and intelligent terminal. Firstly, the decibels collected by the sound sensor are processed through threshold judgment and sent to the coordinator through the zigbee router module. Secondly, the video module recognizes and analyzes the video of the alarming carriage by means of artificial intelligence. Finally, the detailed alarm information is sent to the intelligent terminal. The development cost of this system is low while its installation and maintenance is convenient. It improves the monitoring facilities of train carriages, which can not only guarantee the accuracy and real time of the warning, but also set the threshold value and delete alarm mark manually. It has strong expansibility and portability, which is of practical significance for improving the safety of train operation.
A Method Reconstruct Ballistic Target Based on Compression Sensing
Authors: Han Li-xun , Tian Bo , Feng Cun-qian , Xie Jia-hao
Published: November 2019

In order to solve the problem of large data volume and complex processing in the processing of ballistic target echo signal, compressing sensing is applied to the processing of ballistic target echo signal. Firstly, the mathematical model of the cone-cylinder ballistic target’s precession is constructed, the signal processing when the radar radiates sparse Orthogonal Frequency Division Multiplexing-Linear Frequency (OFDM-LFM) signal is analyzed, and then match this process with compressed sensing decision branch; a new denoising recovery algorithm for signal-to-noise ratio(SNR) based on (SAMP) algorithm was proposed, and finally verify the effectiveness of the algorithm through simulation experiments.
Visualization of the Frontier Evolution of Strategic Management Based on Knowledge Map
Authors: Fanyoujun
Published: November 2019

Over the past 20 years, western strategic management has developed rapidly. In the new century, strategic management is becoming more and more contentious. It not only pays attention to solving the problems of traditional strategic management, but also explores the Enlightenment of the “new scientific group” theory and the importance of strategic decision-making. It is only sooner or later that a new breakthrough will be made. CiteSpace software is used to visualize the relevant literature data since 2000, and the frontier and evolution of strategic management are discussed. Through the analysis of the key words of relevant domestic research, the author puts forward the research focus and the most concerned keywords and the authors and literature contents with high frequency of reference in each stage of domestic research, so as to present the research of domestic strategic emerging industries. Several features. It is necessary to provide necessary reference for scientific research planning and management in the same field in China.
A Literature Review of Sentiment Analysis on Chinese Social Media
Authors: Yuan Zhang , Yuwei Gu , Feng Zhao , Reimei Wang
Published: November 2019

Weibo (The mainstream social media of China) has grown to a huge scale since founded in 2014 and has become a platform for most people today to access information and express opinions. By analysing comments and forwarded posts in Weibo, we can dig deeper into the users’ perceptions and opinions about products, which is of a great commercial value. This paper summarizes the related researches on the sentiment analysis of Weibo in China and abroad since 2013, and analyses the analysis of Weibo sentiment analysis based on different methods.
RETRACTED: Parametric Design of Quasi-Natural Waterscape Gardens Based on Big Data Technology
Authors: Naize Wang , Chongyu Wang , Zhangke
Published: November 2019

In order to better design the water scenes of garden, the natural water scenes of garden parameters are designed by combining the big data technology, the water scenes of garden generation rules are collected by the pseudo-natural principle, and the garden landscape parameters are designed by combining the regular production characteristics with the big data technology. In order to ensure the rationality of the principle landscape design, the pseudo-natural water scenes of garden parameters are standardized, and the standard parameters are input into the Grasshopper auxiliary simulation software, so that the optimal design scheme of the pseudo-natural dynamic correlation water scenes of garden view is automatically generated. Finally, through experiments, it is proved that the landscape simulation effect of pseudo-natural water scenes of garden parametric design based on big data technology is more satisfactory than that of traditional design simulation results.
Research on Ontology Perception Technology in Recommendation of Professional Books
Authors: Li Liu
Published: November 2019

A book recommendation method in the paper is proposed by using the professional book ontology perception method. By establishing a model framework based on ontology technology, the ontology triggering mechanism of professional books is combined to obtain relevant information parameters and improve the higher recommendation accuracy, so as to more accurately calculate the regional weights and preferences of professional books, and complete the professional books and the recommendation process. Through the evaluation and testing of the theoretical methods, the feasibility and accuracy of the research content in the paper is proved, which contributes to the improvement of book recommendation service.
Application of Three-dimensional Digital Model in Digital Archive Ubiquitous Intelligent Service
Authors: Ling-ping Ren , Li Dou , Li Li
Published: November 2019

With the rapid development of information technology and mobile Internet technology as well as the rapid spread of smart phones, the way of the information obtained by people is more dependent on mobile devices. The traditional archive service model can no longer meet the needs of users. The way of archival information services should also keep up with the times. Based on the fully analysis of the current archival information service methods, the main modes of the current archive information service mode are analyzed in this paper. A three-dimensional digital model is put forward, The application of the three-dimensional digital model in the ubiquitous intelligent service of digital archives is studied. Its purpose is to organically combine archive management ideas, systems, organizational methods, management measures, and modernization of management talents, to further realize the sharing of archive information resources. It will provide an effective guarantee for the archives ubiquitous intelligent service.
A Comparison of Traditional Machine Learning and Deep Learning in Image Recognition
Authors: Lai Yunfei
Published: November 2019

The growth of the mobile Internet, smartphones and social networks has brought in huge amounts of picture information, and traditional manual identification is not able to meet the demand well enough. Therefore, the automatical image recognition [1] has been proposed which can help us recognize the image efficiently and get the corresponding information. Although traditional machine learning methods [2] have already been widely used in the field of image recognition, most of these methods are designed to handle one-dimensional vector information. Thus, we should first stretch image matrix to one-dimensional vector or extract features from images to employ traditional image recognition methods, which would lose the adjacent information in images and miss some important features. With the development of computer technology, deep learning [3] is gradually applied to the field of image recognition. It can deal with two-dimensional image data naturally and extract features automatically. Compared with the traditional machine learning methods, deep learning is popular for its good learning ability and low generalization error. In this paper, we compare the differences between SVM [4] and deep learning on image recognition, with an application to handwritten digital images recognition. The results show that the deep learning method is more accurate and more stable in image recognition.
A Method of Making Video Trailer Based on Artificial Intelligence
Authors: Na Li , Lanyou Li
Published: November 2019

Based on the flownet2 optical flow algorithm, cascade CNN face detection and facenet face recognition algorithm, the method of automatically generating video trailers by using the sum of the optical flow vector sum per second and the absolute value of the audio loudness amplitude per second and the character duration information is proposed. It can effectively edit the visual essence clip, the video essence clip corresponding to the audio, the main character clip and the story outline to generate a trailer.
Research on Cluster Mining Algorithms for Personal Privacy Protection in the Background of Big Data
Authors: Huang Tianming
Published: November 2019

With the rapid development of cloud computing and mobile Internet technology, huge amounts of data are generated on the network at every moment. In the era of big data, most of the data are designed in distributed storage, stored on many independent sites. The typical data mining algorithm can not meet the requirement of privacy data security in the big data background. In the big data background, distributed data mining is faced with the need to solve data security, privacy disclosure and other technical problems. Therefore, this paper applies homomorphic encryption technology to typical K-means clustering mining algorithm, and designs a distributed privacy protection PP-kmeans algorithm based on big data. Experiments show that this algorithm can realize data privacy security protection. And more accurate big data clustering mining effect is achieved.
The Application of orthogonality cross correlation algorithm in weak signal detection
Authors: Hu Pengfei , Liu Liping , Shen Li
Published: November 2019

In this paper, the Xilinx Artix-7 FPGA chip was used as the processor to submit an orthogonality cross correlation algorithm with strong anti-interference capacity that constructed two reference signals have a large amplitude and same frequency with the reception signal from transducer to search the weak signal in the transducer. It can prominently improve the Signal to Noise Ratio (SNR) of transducer information and exact the feature information of reception transducer. The processing time of this algorithm is short and able to ensure the real-time performance of data transmission in the measurement.
Application Research of Cuckoo Neural Network Algorithm in Surface Reconstruction
Authors: Wang Hai-jun , Jin Tao
Published: November 2019

Aiming at the current BP neural network model for surface reconstruction, it is sensitive to the initial weight and threshold, easy to fall into the local minimum value, and the reconstruction accuracy is not high. The CS-BP surface reconstruction algorithm is proposed. Firstly, the cuckoo search algorithm is used to optimize the weight and threshold of BP model for the first time, and then the improved BP algorithm is used to further optimize, finally, the surface reconstruction model based on CS-BP neural network is established. Compared with the reconstruction results based on BP algorithm, quadratic fitting algorithm and Wolf neural network algorithm model, it is proved that the idea of using cuckoo algorithm to optimize BP model to construct surface reconstruction model is feasible, and cuckoo algorithm, like other swarm intelligence algorithms, can effectively improve the efficiency of BP surface reconstruction model.
Research on computing verification algorithm on body sensing data in cloud computing environment
Authors: Gao Yanfang , Yao Lan , Yu Jinyue
Published: November 2019

Cloud computing enables users with limited resources to accomplish complex computation. Meanwhile, the massive human body sensing data generated by Wireless Body Area Network (WBAN) can be stored in cloud servers. However, cloud storage of human body sensing data is challenged by some issues. How can users ensure that cloud servers can return computing results and at the same time confirm that the results returned are correct? To address this problem, based on the argument system of commitment scheme, this paper designs a DMP verification algorithm. By compiling the hash of the header node into a constraint set and verifying the accuracy of the data of the intermediate node through a hash list, the algorithm reduces the compiling time of the intermediate node and improves the verification efficiency.
Statistical Research Based on Machine Vision: A Review
Authors: Xiong Xin , Huang Li , Cheng Yangwei
Published: November 2019

Machine vision technology has been widely studied and applied in the development of science and technology, and has achieved remarkable achievements in real-time monitoring. Aiming at the upper limit of construction workers’ personnel, there are safety hazards in the unclosed elevators. The development of the machine vision number statistics is discussed in detail, mainly from the status quo of the population statistics research, the direct method of the population statistics and the application of the indirect method. According to different algorithm research, the problems existing in the current research direction are analyzed, and the number of people in the future elevators is forecasted.
Low power consumption Internet of Things and its core sensor package technology in underground pipe gallery
Authors: Zou Qiang , Lei Zhiming , Meng Zhen , Ai Xinchen
Published: November 2019

Underground pipeline corridor is a part of the construction of Smart City. There are many kinds of pipelines in it. Because of the complex air composition and special space structure, it is impossible to carry out high-frequency manual maintenance. Therefore, in order to ensure the safe operation of pipeline corridor, it is necessary to monitor its working environment in real time. In this paper, a low-power Internet of Things (IOT) system is designed for the special environment of underground pipeline gallery. The system’s network is built by low-power ZigBee module. Cooperated with micro-sensors, it can monitor the environment of pipeline gallery in real time, and the low-power of the system can make up for the long-term unattended situation of pipeline gallery. This paper also designs a sensor packaging technology for this environment, which protects the sensor from corrosion in the corridor environment without affecting the smooth network. Finally, the material is tested.
Matching Algorithms between Investment Projects and Grid Weak Links
Authors: Liu Lixia , Ma Chao , Zhang Dong , Li Na , Xiao Fei , Yang Jie , Ye Yutong
Published: November 2019

This paper analyzes the weak links of the power grid from the perspectives of grid operation and future investment management of power grids. Based on the research theory, the matching algorithm of investment project and weak link of power grid is constructed based on 0-1 planning and empirical analysis is carried out. This paper construct a model based on constraints such as the maximum objective value of the net present value rate and the investment ratio, calculate and analyze the case, get the investment results, and optimize the resource allocation.