bluuebunny/crossref_metadata_2025 huggingface dataset:
Infinitely Many Solutions to a Class of Fractional Elliptic System with Critical Sobolev Exponents in RN
Authors: Li Jing
Published: November 2020

The paper focuses on a class of fractional elliptic system with critical Sobolev exponents, where there is no compact embedding under proper assumptions on potential functions. The proof of the existence results mainly relies on concentration-compactness principle of fractional Sobolev space and genus theory.
Numerical General Solution for Identifying the Position of Point Heat Source for Steady Inverse Heat Conduction Problems
Authors: Liu Hong , Gao Juntao , Chen Haojie
Published: November 2020

This paper constructs an explicit formula for numerical general solution with position parameters of heat source as variables based on the heat conduction finite element numerical solution in order to convert inverse heat conduction problem with position identification of heat source to multi-variables limit problem. And it establishes linear equations with variables of position parameters of heat source by derivation, and gets the position parameters of heat source. The paper gives out the detailed procedure and formula for numerical general solution method, which includes describing position of point heat source, calculating numerical solutions for homogeneous solution and particular solution of the governing equation for heat conduction problem, constructing numerical general solution, solving the linear equations and getting the position parameters. The paper gives an example of identifying position parameters of heat source for inverse heat conduction problem.
Numerical Solution of Fractional Integro-differential Equations with Weakly Singular Kernels via Bernstein Polynomial
Authors: Lei Li , Zeng Guang , Wang Binbin , Ning Desheng
Published: November 2020

This paper is concerned with obtaining approximate numerical solutions of a class of fractional Volterra integro-differential equations with weakly singular kernels which using Bernstein Polynomials as basis in collocation methods(BPCM). The approximate solution is obtained by expanding the functions in terms of Bernstein Polynomial, whose unknown coefficients are determined by solving final system of linear equations. The convergence analysis of the proposed method are taken into consideration and Numerical examples are included to confirm the efficiency and accuracy of the method.
Global Attractivity for Three Species Lotka-Volterra Systems with Delays
Authors: Halik Azhar , Omar Ahmatjan
Published: November 2020

This paper studies a type of non-autonomous three-species Lotka-Volterra(L-V) predator-prey-competitive systems with time delays is discussed. Several sufficient conditions on the global attractivity of the system are derived by employing the Lyapunov function method.
Feature Detection in Hierarchical Structure Based on Tensor Factorization
Authors: Li Zhe , Wang Dong , Zhang Ke
Published: November 2020

Feature is an important connection point of hierarchical structure. Large-scale network feature detection becomes an important way to analyse hierarchical structure. In this paper, we use tensor decomposition based large-scale network feature detection to study hidden relationships among different users and infer its potential feature structure. Data set experiment is used to verify the effectiveness of the algorithm from two aspects of accuracy and efficiency. At the same time, the two algorithms of tensor decomposition and Fast Newman and SLPA are compared to find that the hierarchical structure feature detection algorithm based on tensor decomposition is more efficient and more accurate.
Application of Extension Analytic Hierarchy Process in Spanning Tree
Authors: Wang Nana , Liu Wei
Published: November 2020

In view of the problem how to choose the minimum spanning tree.firstly, a minimum spanning tree was found by using broken circle. Secondly connected graph was reduced to obtain a reduced graph. Using broken circle method get all the minimum spanning tree, finally, it uses the extension analytic hierarchy process (EAHP), build the hierarchy, for all of the minimum spanning tree of outlier, aggregation coefficient, average path length, network sorting efficiency, optimal spanning tree, extension analytic hierarchy process provides the theoretical foundation for the screening of minimum spanning tree.
Research on Attributes Reduction Method of Intrusion Detection Data Based on Rough Set Theory
Authors: Fu Xueliang , Zhang Yaodan , Li Honghui , Hu Yumeng
Published: November 2020

With the huge amount of network connection data, high data dimensions and complex attack types, it is difficult for traditional data analysis techniques to obtain satisfactory results in the Network Security Intrusion Detection System. This paper proposed a RSDB method based on the Rough Set Theory and the Data Deblock Thought, which can help us to reduce the data conditional attributes and remix the data. The method considers two factors: the relationship between conditional attributes and decision attribute, and the data integrity. Through the experiment, this method can solve these difficult above problems effetely, while ensuring the original data is not distorted. Through many experiments and their experimental results, RSDB can not only make the classification accuracy over than 90%, but also its average detection time is in the millisecond level.
The Non-linear Tracking of IMM- PHD Filter for Rader-Infrared Sensor Data Fusion
Authors: Zhang Anqing , Zhang Wanshun , Qi Haiming
Published: November 2020

In order to improve the accuracy of multi-target tracking, a feasible dada fusion system is proposed for radar and infrared sensor used together, to overcome the defects both small detection range and no distance measurement for infrared sensor, and to avoid the problem of large error in measurement information of single sensor. Rader and infrared dada fusion can achieve complementary information. An optimal weighted fusion method for measurement of radar and infrared sensors is derived, and an interactive multi-model PHD nonlinear filtering algorithm is used to improve the accuracy of target tracking. The computer simulation results show that the integrated system and multi-sensor measurement fusion method can improve the accuracy of target state estimation. It is of great practical significance to solve the problem of target tracking estimation of heterogeneous multi-sensor.
Research on Online Education Based on Big Data
Authors: Li Haifeng , Sun Hongrui
Published: November 2020

With the continuous development and innovation of global information technology, all walks of life are developing towards the direction of deep integration with information technology, improving the efficiency and quality of the industry level has become the general trend, education is no exception. With the analysis and summaries of big data’s application in online education at home and by means of literature review, the analysis clarifies the specific situation of the application of big data in China’s network education. Finally, I put forward several solutions to the shortcomings of big data’s application in online education in China and predict the future development trend in order to make an all-around classification and analysis towards big data’s application in online education, so it can provide reference for better big data’s application in education.
A Novel Aero-engine Blade 3D-print Technique Based on Cloud Database
Authors: Lv Xiaodong
Published: November 2020

The precision of surface of laser manufactured component is strictly depend on the process parameters and the manufacture device. In this research paper, we explore a novel alternative based on cloud database of making an aero-engine blade. The designed equipment can continuously move along curvilinear paths of an object being fabricated, producing new objects much longer, wider and taller than 3D printing unit. This set of device cleverly combines a small portable 3D printer and a column climbing robot linking to cloud database to ensure product variety and flexibility. It adopts an reciprocating fabrication loop which works as: printing, reanchoring to a new start point, and printing again. We illustrat the structure, sub-functional unit, and characterization of the 3D print robot along with an example on the fabrication of aero-engine blade based on cloud database. 3D print has been demonstrated to posses the freeform fabrication capabilities for complex components and of course the 3D print robot connected with cloud database could easily printing a blade. The results obtained in this study have potential applications for construction industry, product design and promisingly greatly broaden the applications of up-to-date 3D printing.
Research on the Future War Driven by Big Bata
Authors: Jiang Yujiao , Liu Jie , Li Xiaosong
Published: November 2020

In the future wars, data will become a new engine that changes the formation of war. The paper has expounded the conceptual connotation of future war formation, analyzed the characteristics of future war driven by big data and the big data driven demand in the future war. It will help lay a theoretical foundation for promoting the wide application of big data technology in the military field.
Research on the Application of Blockchain Technology in Discipline Inspection and Supervision in China
Authors: Wei Lili , Gu Bin
Published: November 2020

This paper studied how Chinese discipline inspection and supervision agencies used blockchain technology to optimize the path of discipline inspection and supervision, while improving the efficiency of their discipline inspection and supervision. It combined with the actual situation of the reform of the discipline inspection and supervision system in China. Based on the essential characteristics of blockchain technology, this paper drawed a new disciplinary inspection and supervision information sharing model that based on blockchain technology. Also, it gived a new system framework and work flow. According to this technology, China’s disciplinary inspection and supervision agencies might use blockchain technology in the future to optimize the workflow of disciplinary inspection and supervision.
Fast Algorithm for Heating Injection Mold by Water
Authors: Liu Hong , Chen Haojie , Chen Fei , Gao Juntao
Published: November 2020

This paper puts forward a fast algorithm for heating injection mold by water accordance with these problems that the computing is enormous to simulate heating injection mold and there is a limitation for velocity of hot water that it should not be too larger otherwise simulating algorithm will be failure. The method does the similarity transformation to construct similarity model whose solution is the same with the mathematics model for the problem of heating injection mold by water, and the simulation time will be reduced greatly at the precondition of keeping precision using the similarity model. The first step of similarity transformation is time similarity transforming for the fluid governing equation describing the moving of hot water in the time area, i.e., actual heating time area for mold heating is transformed to heating time area of similarity model while keeping spatial domain unchanged. Meanwhile it does the same transformation for the heat conduction governing equation in the time area, also keeping spatial domain unchanged. In this way the similarity model of the origin mathematics model for fluid-solid coupling problem of heating mold by water is obtained. Simulating the similarity model could obtain mold temperature field after heating fast. The paper shows that the fast algorithm has good application value through examples.
Review of CpG Island Recognition Algorithms
Authors: Cai Yanning , Dong Qian , Li Anlan
Published: November 2020

DNA methylation is a common epigenetic process, which exists in many eukaryotes, such as animals and plants. It has the function of regulating gene expression and affecting the stability of genetic material. The unmethylated CpG dinucleotide, known as CGI, generally presents a local aggregation pattern in the genome. Abnormal methylation of CGI is often associated with cancer and abnormal growth. Therefore, it is of great significance to accurately identify CGI and predict its methylation state. This paper summarizes the current mainstream CGI computational recognition methods, analyzes their advantages and disadvantages, and discusses the future direction of CGI recognition algorithm research.
Research on Artificial Bee Colony Algorithm Based on Homogenization Logistic Mapping
Authors: Shi Kexiang , Bao Liyong , Ding Hongwei , Zhao Lei , Guan Zheng
Published: November 2020

Aiming at the defects of artificial bee colony algorithm with poor performance and slow optimization efficiency, this paper puts forward an artificial bee colony algorithm that initializes honey sources by homogenizing chaotic mapping. First, a homogenization logistic mapping model is constructed, and the frequency distribution and information entropy are analyzed. Second, during the initial honey stage, a homogenization logistic map is introduced to continuously iterate to generate a feasible global uniform distribution with a feasible solution. Finally, by evaluating the optimal solution for different characteristic functions, it is shown that the algorithm achieves the improvement of convergence performance, optimal solution accuracy, optimization efficiency and stability under the condition of limited bee colonies.
A Distributed Ledger-based Message Board for Complex Classifier Optimization in the Fog Environments
Authors: Korovin I S , Melnik E V , Klimenko A B
Published: November 2020

The paper deals with the architecture and design of the complex distributed classifier for the intelligent video surveillance systems considering the contemporary tendency to detect the abnormal or suspicious behavior of the individuals by means of behavioral features set analysis. This paper focuses on the implementation of multiagent systems concept and the distributed ledger technology to the distributed message board architecture. Two selected approaches to the distributed ledger implementation are analyzed and estimated in terms of classifiers cooperation. Some simulation results are provided and discussed in terms of time consumption.
Analysis of the Prevention Measures for Earthquake Damage and Flood Disasters of Bridges in Mountainous Areas of Sichuan
Authors: Zhou Xiaoyong , Lu Xiaofeng , Mou Tingmin , Liu Zhenyu
Published: November 2020

Since mountain bridges would be influenced by flood disasters, earthquake damage and other problems, this article puts forward some precautions that might be used during the construction of mountain bridges in Sichuan on the basis of the direct and indirect destruction caused by earthquakes and floods in the construction of Sichuan bridge in the expectation that it can provide some reference for disaster prevention.
Comparative analysis of calculation methods for Cable Curve of Landscape Suspension Bridges
Authors: Jiang Tianhua , Yu Yalu , Zhang Xiucheng , Huang Wen
Published: November 2020

The main cable curve control of landscape suspension bridge is not only the premise of achieving the ideal completed state, but also the key problem of suspension bridge construction control. By analysing the characteristics of the main cable of anchored double tower landscape suspension bridge, the analytical equations for calculating the main cable curve of suspension bridge are derived by parabolic method and segmented catenary method. Then combined with practical work, the main cable curve was calculation methods by using the two calculation methods. Results show that both the parabolic method and the catenary method can be used for the preliminary design of the main cable curve of the landscape suspension bridge, but the segmented catenary method with repeated revision iteration has higher accuracy.
The Strength Analysis and Structural Modification of VPX Chassis in Flight Environment
Authors: Huo Xiaoning , Tan Zhihong , Cheng Yongsheng
Published: November 2020

The aircraft has severe mechanical conditions such as overload and vibration during operation. The environment in which VPX chassis are located is complex and harsh. In order to reduce the effect of high level vibration and shock on the VPX chassis in Flight Environment, the Strength Analysis of the whole chassis is made. Therefore the structure is modified according to the analysis result to improve its ability of anti-vibration and anti-shock. This paper proposes a iterative optimization method based on the variation characteristics of structural strength through iterative optimization, and by using the Finite Element Method for simulation calculation, the thickness of the area of the lugs of the equipment was adjusted to make the deformation and the stress and the weight suffices requirements of the design. It can shorten the period of product development and lower the product cost by the method presented in this paper.
Climate Adaptability Analysis of Dwellings in Eastern Hebei Province under Building Energy Efficiency Context
Authors: Li Zheng , Wang Sijia , Dong Cuiping , Zhang Qi
Published: November 2020

Building energy efficiency plays a vital role in solving conflicts between energy resource supply and social economic development and accelerating the development of circular economy. On the basis of “Regulations for Energy Efficiency of Civil Buildings in Hebei Province”, combined with Climate Consultant, the paper analyzes the meteorological data of dwellings in Eastern Hebei Province, obtains suitable for dwellings climate policy and valid time in the region. Through above analysis, the paper concludes the passive strategy suitable for dwelling construction so as to provide viable architectural design and energy-saving strategies for the application of energy-saving technologies, planning and construction in Eastern Hebei Province.
Parameters Optimization in Threshing and Redrying Process Based on Random Forest and Orthogonal Experiment Design
Authors: Huang Xiaoyan , Zhao Guangren , Zheng Yurui , Huang Jing , Xie Junli , Jia Zhiwei
Published: November 2020

To improve the quality of threshing and re-drying production, a method fused by random forest and orthogonal experiment scheme are presented to optimal the process parameters. Random forest performed regression modelling on the historical data of process parameters and moisture value, and ranked the process parameters. The model is verified by field test and the gap between the predict results and reality is less than 5%, which satisfied the on-site demands. To achieve optimal parameter combination with limited numbers of time of experiments, orthogonal experiment scheme according to the order of importance is designed. The optimal parameter combination was calculated according to the results and verified by the random forest model and field test. Results of our optimal combination in filed test showed it was better than the historical ones. This fusion method illustrates its potentials to promote the decision of process of threshing and re-drying.
Stock Price Prediction Based on CPP-GAM
Authors: Li Yong , Bai Mingrui , Liu Jianguo
Published: November 2020

Based on the generalized additive model, we propose a CPP-GAM algorithm which transforms the non-linear problem into a linear one. We apply this algorithm to predict the closing price of international and domestic stocks. We train the history data of stocks through back-fitting algorithm. In order to make the effect of prediction better, we get trend lines based on the method of changing point prediction, the regressive algorithm of OLS, and the Fourier series. Through a large number of empirical data analysis, we found the predictive accuracy of CPP-GAM algorithm is 89%, which is 15% higher than that of RBN, SVM, SSA-SVM and so on.
Design of an Online Brain-Computer Interface System Based on Field Programmable Gate Array
Authors: Feng Zhengquan , Zeng Lin , Wu Haijing , Tian Fengchun , He Qinghua
Published: November 2020

In the article, an online brain-computer interface (BCI) demo system based on Field Programmable Gate Array (FPGA) was designed. A colour visual stimulator based on a Video Graphics Array (VGA) monitor controlled by FPGA is designed to produce transient visual stimulations. An electroencephalography (EEG) acquisition module including active electrodes and driven-right-leg circuit is used to acquire the visual evoked potential (VEP) signal; Finite impulse response (FIR) filtering combined with an averaging method allows for extraction of the weak VEP signals. The template matching method is used in target identification. The FPGA is successfully used in the BCI system to complete multiple tasks such as the VGA controller, analog to digital (AD) converter controller, VEP signal processor and electronic device controller. Experiments show that the subjects’ transient VEP can successfully activate the electronic devices by the online BCI system which has relatively high identification accuracy. All these results show that the real time BCI demo system based on FPGA is feasible and effective.
Study on the Technical Evaluation of Acceptance of Water and Soil Conservation Facilities in Hydropower Projects——Taking Yinpan Hydropower Station as an Example
Authors: Chen Lan , Wang Zhigang , Li Jianming , Zhang Changwei , Yang Hefei
Published: November 2020

Since soil and water conservation facilities through the purchase of services by the government, the working procedures had changed. This paper studied the evaluation work program, combination with Yinpan hydropower station, which divided into personnel composition, site survey, data verification, communication and reporting. The legal procedures for the implementation of soil and water conservation were checked to confirm the scope of responsibility for the prevention and control of soil erosion. Spoil yard and stone pit were surveyed and analysed one by one to confirm the soil and water conservation measures, the amount of soil and water conservation measures, the quality evaluation and the effect of soil erosion control. The construction and operation management of soil and water conservation were evaluated in the end. Through soil and water conservation facilities acceptance evaluation of Yinpan Hydropower Station, experience was summarized, which could be used as reference for the acceptance of soil and water conservation facilities in hydropower project in the future.
A Comparative Study on the System and Scale of Sport Industry between China and Canada
Authors: Li Gang , Liu Minhang , Fu Yukun , Feng Bing
Published: November 2020

In order to achieve a estabished 5 trillion goal of Sport Industry in China’s “Several Opinions on Accelerating the Development of the Sports Industry and Promoting Sports Consumption”, This research adopts literature data method, systematic analysis method, comparative research and other methods, and analyzes and analyzes the development experience of the Canadian sports industry. a comparative study on the system and scale of sport industry between China an Canada has been analyzed from Sport Industry Policy, Statistical Classification System, and Sport Revenue Structure. The results has indicated that, led by the similar government industrial policy, the sport industry development of China and Canada has been in a relatively stable growth stage since 2012. Although the output value of Canadian sports industry is lower than that of China, its revenue structure of sport industry is much reasonable than that of china, especially the revenue of Canadian Sport Recreation is particularly oustanding. The Revenue Structure of China’s sport industry remains to be further optimized, Promoting the improvement of China’s sports industry system, and pushing forward the volume of China’s sports industry to a new level.
Asymmetric Influence of Economic Growth on the CO2 Emissions from Construction Industry in China
Authors: Chen Jianbao , Li Fen
Published: November 2020

In order to analyse the asymmetric impact of economic development on the carbon emissions from construction industry in China, this paper constructed an extended model of influencing factors for CO2 emissions from construction industry including economic growth, collected the relevant data of China’s 30 provinces during 1997-2015, and tested threshold effect of China’s economic growth on CO2 emissions from construction industry by the panel threshold regression model empirically. The results show that: (1) Economic growth, population size, industrial scale and energy structure have positive impacts on CO2 emissions from construction industry, while energy efficiency has negative impacts. (2) Economic growth has a significant double threshold effect on CO2 emissions of construction industry, and it has a positive effect under the three regimes. Its intensity of effect increases first and then decreases with the economic level across the two thresholds. As a result, the Chinese government should pay more attention to the asymmetric influence of economic growth at different stages of development when formulating the construction industry emission reduction policies.
Study on the Process of Vacuum Low Pressure Carburizing and High Pressure Gas Quenching for Carburizing Steels
Authors: Wang Huizhen , Zhai Yuewen , Zhou Leyu , Liu Bo , Hao Guojian
Published: November 2020

The vacuum low pressure carburizing and high pressure gas quenching processes of 20CrMo, 20CrMnTi and 20Cr2Ni4 with acetylene as carburizing medium were investigated. The results show that the carburizing and diffusion time significantly affected the carburizing performance. Carburized with the process of C2H2 flow rate 10L/min, N2 flow rate 10L/min, carburizing pressure 3kPa, carburizing time 42min, diffusion time 140min and gas quenching pressure 1.5MPa, 20CrMo, 20CrMnTi and 20Cr2Ni4 can obtain the surface carbon content of 0.74%-0.78% and carburizing depth of 0.81mm-0.83mm. Meanwhile, the microstructure showed first grade carbide, and there was no internal oxidation laye on the surface. The carburizing constant and the diffusion time to carburizing time ratio were modified to be more suitable for the carburizing process.
Experimental Study on CFRP Reinforced Concrete Column
Authors: Wang Xiaochu , Nie Xiaomei , Xiong Long
Published: November 2020

Through the axial compression test of CFRP reinforced concrete column, the mechanical properties, reinforcement method, failure form, circumferential and vertical deformation were studied. Through the comparative analysis of the variation parameters of the whole package and the subpackage, the analysis shows that the whole package strengthening method can obviously improve the bearing capacity of the specimens and effectively restrain the annular deformation of the strengthened column. CFRP reinforced concrete significantly enhanced the bearing capacity of the test column, the best effect of the whole package, the two ends of the subcontract bearing capacity is economically applicable; The horizontal and vertical deformation of the concrete column is restrained after the complete and subcontracted reinforcement of CFRP.
Application of Enhanced Whale Adaptive Threshold Noise Reduction Method in Transformer Ultrasonic 3D Imaging Detection
Authors: Du Haoyang , Li Yimu , Liu Wanting
Published: November 2020

Most of the detection methods for transformer winding faults are off-line detection, which have to know the internal parameters of the transformer including the winding radius and the position of the winding center point It is only suitable for radial deformation, which has great limitations. Therefore, based on the principle of the ultrasonic wave propagation character, this paper designs a vertical 3D imaging detection system, which can visually display the 3D pattern of the winding deformation. This system can quantitatively and qualitatively detect the transformer and is suitable for various shapes of transformer winding deformation. An improved whale adaptive threshold optimization noisee reduction algorithm has been improved in this paper based on wavelet decomposition for the problem that echo is easily interfered by noise in ultrasonic detection. After testing, most of the interference noise can be filtered, so that the transformer can be more intuitive around the three-dimensional state diagram, which can better distinguish the fault location.
Human Body Shape Reconstruction from Binary Image Using Convolutional Neural Network
Authors: Chen Jiayu , Zhong Yueqi , Yu Zhicai
Published: November 2020

Human body modeling is an important part of virtual try-on. In order to quickly reconstruct the three-dimensional(3D) human body based on the minimum input, we propose a new method for accurate reconstruction of the human body by inputting binary images from either single view or multiple views. We first encode the shape of the human body via Principal Component Analysis (PCA) to extract the low dimensional shape descriptor. Secondly, we design a novel Body Reconstruction Convolutional Neural Network (BRCNN) with two branches, which could capture deep correlated features from different views and merge them. Given the obtained statistical shape space of the human body, we jointly train the BRCNN to learn a global mapping from the input to the shape descriptor which can be then decoded to points cloud for the reconstruction of various body shapes under neutral poses. The experimental results show that compared with the existing human reconstruction technology, the accuracy has been improved by 1.07%, and the prediction results of the two views are better than those from the single view. Further investigation also reveals that the prediction results of the weight-sharing network are better than the network without weight-sharing.
Graphical Tool for Positioning of Triads in Mechanisms
Authors: Antonya Csaba
Published: November 2020

The position of a triad (Assur group of class 3 and order 3) in a planar mechanism requires the computation of three parameters of the composing links. This can be obtained with analytical of graphical solutions. In this paper a graphical (or geometrical) solution is proposed, in which several 3D surfaces are generated with the geometrical parameters of the triad. The intersections of these surfaces will generate 3D curves and the solution of the problem will be the coordinates of a point at the intersection of a curve and a surface. This method can be applied regardless of the type of pairs in the triad. The advantage of the proposed geometrical method is that it offers a quick observable design of complex mechanisms in the analysis and synthesis process.
Forecast Method of Track Irregularity of Heavy-haul Railway Based on BP Neural Network
Authors: Zhang Jinchuan , Tian Huadong
Published: November 2020

The track irregularity is an important factor for the transport safety of heavy-haul railway. Limited by the technique of data mining and analysis, the data obtained by rail inspection vehicles cannot fully identify the status of track irregularity. In this paper, based on the characteristics of track irregularity, the BP neural network is used to predict the geometric irregularity parameters of heavy-haul railway tracks, identify the status of track irregularity, and provide support for the decision-making of maintenance strategy. In order to further verify the accuracy of the BP neural network, the single and double hidden layer networks are established to predict 20 sets of the 7 indicators of track irregularity. According to the prediction results, the mean square errors of the single and double hidden layer networks are 0.064 and 0.051, respectively. The result shows that the multi-hidden layer BP neural network has higher accuracy, which provides a new idea for the research on the prediction model of track irregularity.
Interface Design for the Command-control Module Based on Adaptive Interaction Technology
Authors: Zhu Shuai , Qu Jue , Wang Wei , Zhao Minrui , Chen Long
Published: November 2020

Firstly, the concepts of three adaptive modes are introduced, and the experiment for the interface layout based on the adaptive adjustment interaction is designed, in which the speed of information identification of other 8 regions is sorted under the condition of interference of the intermediate region with fixed constraints. An adaptive interaction experiment of state monitoring parameter interface is designed, and the following conclusions are obtained: Compared with the original chart monitoring interface, the dimensionless and normalized graphical parameter interface can effectively shorten the time to discover abnormal parameters and improve the accuracy rate.
Prediction of Carbon Content in Fly Ash in Ultra Supercritical Generation Unit with Long Short-term Memory Neural Network
Authors: Yuan Jun , Chen Jiayi , Xie Yingbai , Wu Wanting
Published: November 2020

The accurate measurement of carbon content in fly ash is the basis of improving the thermal conversion efficiency of boiler and reducing the coal consumption of power generation. Based on the operation data of 1000MW Ultra-supercritical Unit in a thermal power plant, the input parameters of the model were selected by correlation analysis. The Long Short-Term Memory neural network (LSTM) was used to establish a prediction model with the boiler operation parameters as the input and the carbon content of the boiler fly ash as the output. According to the actual operation data of the unit, the prediction performance of the model was trained and tested. The simulation results show that the average prediction error of the LSTM model is 2.8136%, and 86% of the total samples are data with error less than 4.5%, which means it has high accuracy and strong generalization ability.
Research of Tunnel Full Band FM Broadcast Application
Authors: Wang Xinke , Hao Liang , Cai Lei , Lei Lingyu
Published: November 2020

The paper analyzes the advantages and disadvantages of the existing information service methods in the tunnel, and proposes the use of full-band FM broadcast for emergency information release. It can also cooperate with other systems to achieve integrated information release. This achievement forwards FM signals outside the tunnel in daily situations, and uses full-band FM to implement emergency information insertion in emergency situations, which not only improves the daily information service level but also implements the function of emergency warning, and effectively improves the level of tunnel safety.
Design on Deployment of Microservices on Container-based Cloud Platform
Authors: Cao Jiqing
Published: November 2020

The resource allocation and monitoring functions provided by container technology can meet the independent deployment principle of microservices and support the rapid deployment of microservices. The deployment of microservices on container-based cloud platform can realize the automatic deployment and continuous integration of DevOps, thus improving the efficiency of application development and maintenance. This paper designs the deployment process of microservices on the cloud platform based on container, including the construction of image, several optimization schemes to reduce the size of image, image management, container orchestration and other activities, which further simplifies the deployment process and can provide useful reference for enterprise practice.
Research on Non - contact Electromagnetic Loading Device for Water - lubricated Bearing
Authors: Yuan Zhe , Wang Nan , Wang Peng , Liang Yingxuan , Yue Xiaokui
Published: November 2020

In order to deeply study the characteristics of water-lubricated bearing under load condition, a non-contact electromagnetic loading device is designed to solve the problems of friction, vibration and noise in the traditional contact loading methods such as hydraulic cylinder and weight, etc. The device consists of loading plate, E magnets, coil, programmable dc power supply, first of all, is derived by Maxwell’s three laws of the theoretical equation of electromagnetic force, and then, application of Solidworks, Ansoft Maxwell 18.2 software modeling and simulation of electromagnetic loading device structure, the final will be the electromagnetic simulation, comparing the theoretical results, the results show that the simulation and the theoretical value is less than 11.4%, validate the rationality and accuracy of the device.
A Waveform Conversion Circuit Design Used for Square Wave to Sine Wave
Authors: Yang Mingqi , Li Lixin , Yan Shubin , Wu Xiushan
Published: November 2020

As an efficient passive filter, elliptical filter can be used in the waveform conversion module of closed-loop self-excitation circuit based on infrared detectors with steep transition band. In this article, the elliptical filter is designed and used to transform rectangle wave to sine wave by the Advanced Design System (ADS) 2015. After setting the parameters and calculation, the elliptical low-pass filter of seventh-order whose pass band is 0-10.2kHz, ripple in the band is less than 0.3dB and signal suppression is 42.8dB with two notch points. Through the comparison with the fifth-order and seventh-order elliptical low-pass filters, the relationship between the orders is understood, and the requirement of waveform transformation is realized.
Automatic Pig’s Maternal Ability Evaluation System Based on Behavior Data of Sensor
Authors: Liu Jie , Shi Chong , Sun Guangmin , Ma Pan
Published: November 2020

The high-risk behaviour of pigs from standing, sitting to lying and grovelling is the main reason that the piglets are always crushed to death. This paper conducts research based on the field of classification and recognition of pig behaviours by using triaxial acceleration sensor, which can evaluate the maternal ability of pigs and provide data basis for selecting high quality breeding pigs. Aiming at the problem of low data variability and small data range due to the small-scale activity of the pigs, which can cause poor classification accuracy. This paper first performs moving average filter processing on the x, y, and z-axis data collected by the triaxial acceleration sensor. After feature extraction and feature selection, an optimal feature subset is proposed. Experiments show that by adopting the optimal feature subset proposed, the random forest classifier adopted can classify and evaluate four basic behaviours of pigs in daily life better. The accuracy on the test set reaches 93.8%. Compared with decision tree and BP neural network, the AUC value of random forest reaches 0.957, which has obvious performance advantages. Finally, this paper also proposed an evaluation model of maternal ability for pigs and adopted maternal ability index to evaluate the maternal ability of the pigs according to the classification results.
On General Conditions for Uniqueness and Robustness of Structured Matrix Signal Reconstruction
Authors: Tian Yuan , Huang Xin
Published: November 2020

This paper investigates the problem of reconstructing n-by-n structured matrix signal via convex optimization. The traditional vector signal model is extended to matrix signal model. We establish fundamental conditions on the measurement operator to guarantee strong properties of sparse and flat matrix signal reconstruction from noisy measurements, i.e., conditions to guarantee uniqueness, support and sign stability as well as value-error robustness. In comparison with other works, these conditions are more general and our method is more suitable to be generalized to dealing with high-order tensor signals. These theoretical results, together with the auxiliary results in the argument, are heuristic for developing more effective algorithms in, e.g., wide-band communications and related signal processing applications.
A Design Method of Image Sonar
Authors: Qiu Qianbao
Published: November 2020

By analyzing the underwater high-speed target tracking and positioning, image sonar was determined as the solution. An image sonar system is constructed. According to the functions of each part of the image sonar, the transducer array, receiver, transmitter and image generation signal processing software are designed. According to the difficulties in the construction of the image sonar system, emphatically introduces the design of the transducer array and receiver. According to the principle of image sonar, designed by 128 piezoelectric ceramic elements joining together, form a circular receiving transducer array. The characteristics of image sonar receiver are multi-channel synchronous receiving and acquisition, high frequency and large amount of data. According to these characteristics, the analog front-end chip and FPGA are adopted as the core for the design. It realizes signal synchronous acquisition, orthogonal filtering, storage and Gigabit Ethernet communication functions. A computer platform is used for beamforming signal processing. It implements data read, phase-shift beamforming and matched filtering, and other functions. By integrating the above hardware and software functions, an underwater high-speed target tracking and positioning systemis formed.
Design and Application of Phased Array Ultrasonic Guided Wave Transducer for Detecting the Anchor Bolts
Authors: Jiang Haibo , Yue Xianqiang , Gao Chao , Ma Junpeng , Li Yuke
Published: November 2020

To achieve the defect testing of anchor bolts and other buried anchor bolt systems, a phased array ultrasonic guided wave transducer was designed in this paper. By designing the transducer array type, number of array elements, frequency, chip size and scanning mode, it can effectively avoid the interference of thread reflection signals, improve the signal-to-noise ratio and reliability of defect detection results. The transducer was verified by experiment of simulation sample.
Analysis and Optimization of Real-time Performance of High-speed Train Communication Network
Authors: Xie Yufei , Wen Xiaoyan
Published: November 2020

With the expansion of the scale of network system, the structure of high-speed railway train is more and more complex. The problems of real-time and reliability of network need to be solved. In this paper, aiming at the traditional train network communication mechanism, multi-objective particle swarm optimization algorithm is used to optimize the network design. The real-time performance of the network before and after optimization is simulated by OPNET. The experimental results show that the optimization algorithm in this paper can improve the real-time performance and reliability of the network.
Research on Correlation between Ubiquitous Telecommunication Data and Earthquake Intensity
Authors: Han Wanjiang , Jiang Lixin , Zou Di , Nie Jiaqi , Jin Xin , Gong Feifei , Chen Shuwen
Published: November 2020

Based on a large number of literatures and reports, this paper takes communication systems in lifeline engineering as an example, collects as many disaster-related communication data as possible to form a training data set, and analyzes the relationship between disaster-related telecommunications data and earthquake intensity. Then, use visual means to preprocess the collected data set. This paper uses different classification algorithms in machine learning, such as Naive Bayes, K-nearest neighbors, logistic regression and support vector machines for classification training of the formed data set. Optimize it, and finally it proposes a reference model that can be used to predict earthquake intensity. Finally, experiments show that the model has good accuracy.
Analysis of the Application of IT Information Platform Interconnection in Charging Infrastructure
Authors: Li Yang , Wang Jiaojiao , Li Xiao , Chen He , Li Chuan , Li Jin
Published: November 2020

With the continuous formulation and promulgation of national policy system documents, the rapid development of new energy electric vehicle production and manufacturing, and the IT informatization integration of charging infrastructure industry have become a comprehensive carrier supporting industry information, technology and services. In view of the interconnection of different levels of information and data, it is bound to give full play to its unique information value. This paper analyzes the application of informatization through informatization, interconnection, security, big data integration and other aspects, combined with the current industry development background and status quo, in order to support the informatization development of charging infrastructure industry, realize the application of high-tech information, drive the industry system forward and improve the informatization platform.
Research on Construct Scenario-Response Emergency Model of Dam Break
Authors: Lu Xiang , Peng Xufu , Du Shuangyun
Published: November 2020

Scientific prediction and prevention of unexpected events are the key issues in emergency treatment. To tackle this problem, according to the common characteristics of dams collapsing, environmental pollution and other unexpected events with energy release, based on the idea of “Scenario-Response” and by constructing the physical model of the dam-break event. To analyzing the various reasons and the principle of disaster of the emergencies, and constructing mathematical intelligent prediction model based on the analysis of the factors in physical model, then analyzing the degree of control caused by the disaster factors through the mathematical intelligent prediction model, at last, proposed a prediction calculation formula for the emergency. Extensive simulation on the Jingjiang section of the Yangtze River realized the scientifically prediction method of dam-break event, and well solved the problem of the prediction and prevention scientifically for the emergency with energy release.
Discussion on the Concept and Model of New Retail Energy Finance
Authors: Chang Yan , Zhu Wenhao
Published: November 2020

The development of intelligent and automated information technologies such as 5G and blockchain has provided development conditions for new retails in energy finance. At present, State Grid Corporation of China is vigorously promotes the construction of ubiquitous power Internet of Things, and takes the function of revitalizing the power supply business hall and the innovative side-by-side service mode of electricity generation as the starting point to create a new “hub-type, platform-type, shared-type” energy finance retail business. But however, the current concept of new retail energy finance is still unclear, and the plan is still unclear. Through a large number of capital collections, research and interviews, the project team discussed the concept, necessity and mode of the new energy retailing retail for reference!
Discussion on Application of Parallel Compensation Resonance Technology in AC Withstand Voltage
Authors: Zhao Faqiang , Kun Zhou , Liu Xiuxiong , Li Yuting , Duan Yujie
Published: November 2020

Preliminary exploration of the application of parallel compensation resonance technology in AC withstand voltage. Using the most commonly used power frequency AC withstand voltage method in daily electrical tests, a compensation capacitor and a compensation reactor are connected in parallel on a large capacitance sample, and the capacitance value in the circuit is adjusted by adjusting the value of the compensation capacitor and the compensation reactor When the inductance value is equal to or close to equal, the test power supply and test equipment can input a higher AC voltage under the condition of small capacity, thus completing the AC withstand voltage test of the high-voltage and large-capacity test samples.