bluuebunny/crossref_metadata_2025 huggingface dataset:
A Fault Tree based Microservice Reliability Evaluation Model
Authors: Zang Zhigang , Wen Qiaoyan , Xu Kangming
Published: August 2019

The system based on microservice architecture is a trend of software system development in the future. As there are many independent micro services in the system based on micro services, the reliability evaluation of these micro services and the impact of their reliability on the system reliability have become a problem worth studying. Based on the reliability evaluation of the system based on the service dependency graph and the fault tree, this paper proposes a scheme of automatically generating the service dependency graph with the help of the service registry, and improving the reliability model of service fault tree. When establishing the fault tree, the influence of the system’s fault-tolerant mechanism and different probability of execution path on the system reliability is taken into account, thus improving the accuracy of the model analysis system fault rate.
Life Monitoring and Evaluation Strategy of Traction Transformer on Freight Line
Authors: Tian Xingjun , Li Jiu , Lei Yuntiao , Liu Yang , Wang Zhe , Yao Qi
Published: August 2019

The traction transformer is regarded as the core power equipment in the traction power supply system of railway freight-dedicated line. As the time goes on, lots of traction transformers are under the long-term service status in the domestic electrified railway. Nevertheless, based on the present time-based preventive test code for electric power equipment, it is difficult to conduct the decision-makings on theirs running status. Therefore, it is necessary to study and implement condition monitoring and diagnosis (CMD) technologies. In this paper, some typical characteristics of aging conditions are described, such as tensile strength (TS), polymerization degree (DP), CO/CO2 content, furfural concentration, water content. Some analysis methods with development prospect are analyzed based on dielectric response theories, such as recovery voltage (RV) method, polarization-depolarization current (PDC) method and frequency domain spectrum (FDS) method of the oil-immersed insulation traction transformer. However, the insulation aging of traction transformer is a complex kinetic process of chemical reaction, and it is definitely necessary to combine all the effective methods together and synthetically analyze the experimental data and parameters for obtaining a comprehensive conclusion.
Electromagnetic Transient Simulation Analysis of Single-Phase Earth Fault
Authors: Tian Xingjun , Lei Yuntao , Li Jiu , Liu Yang , Xing Zhijie , Yao Qi
Published: August 2019

In order to study the influence of different fault conditions on the initial traveling wave amplitude, initial traveling wave arrival time and duration of fault line transient voltage, a fault electromagnetic transient analysis method based on MATLAB/Simulink modeling is proposed. This method uses MATLAB software to build a 10kV railway automatic blocking and continuous power transmission lines system simulation model with a total length of 60km. The system model includes three parts: power system module, transmission line module, data acquisition and processing module. Taking the single-phase ground fault as an example, the sampling frequency is set to 2MHz, and the simulation analysis of different initial phase angles, different transition resistances, different fault distances and different branches before fault points are performed. The single phase voltage traveling wave diagrams in different fault conditions are analyzed, which shows that the analysis method has certain feasibility.
Application of SINS/DGPS integrated navigation technology in unmanned mining vehicles
Authors: Cheng Xiaozhou
Published: August 2019

The continuous development of driverless technology has provided more possibilities for the expansion of unmanned operation. In this paper, the SINS/DGPS integrated navigation system is used in the unmanned mining vehicle, and its combination mode and working mechanism are expounded. The equations and observation equations of the combined navigation filter system are derived. The measurement residual error checking algorithm is designed to eliminate DGPS Gross error. At the end of the paper, the correctness of the combined system is verified on the simulation platform, and the robustness is better.
Research on Motion Control of Tracked vehicle in Virtual Reality
Authors: Liu Wenxue , Zhou Yingchun , Wang Tao
Published: August 2019

Based on the preview-following theory, the control method of following the polygonal trajectory is designed in combination with the manipulating rules and driving experience of drivers after establishing sliding model and analysing moving characteristics of the tracked vehicle. And with the combination of Creator and Vega Prime, the autonomous movement of tracked vehicle is realized to meet the immersion and real-time requirements in the virtual environment. The experimental results show that the tracked vehicle can effectively avoid the obstacles to reach the expected target position, which proves the effectiveness of this control method. And this also provides a reference for the realization of the motion control of tracked vehicles and the driver’s driving training.
Structural Performance Analysis of Wall Climbing Robot
Authors: Huang Li , Liao Shangchun
Published: August 2019

With the development of artificial intelligence technology, robotics technology has become more and more mature. Ground walking robots not only develop rapidly, but also have been applied in actual production and life. However, the development of wall climbing robot technology is still in the laboratory research and small-scale application. We live in a world where progress is continuing. Large-scale buildings, bridges and ships are becoming more and more common. In these places, it is inevitable to involve the construction, maintenance and clarity of high-rise buildings and ships. In the case of dangerous and inefficient manpower work, the application of wall climbing robots can play a very good role. Therefore, the development of wall climbing robots is of vital importance both now and in the future. Starting from the performance characteristics of wall climbing robot, this paper studies and summarizes the moving mode, control mode, conditions to be satisfied and various adsorption forms of wall climbing robot, and introduces the basic research situation in the field of wall climbing robot.
Research on Mimic Defense Technology and Security Test Method of Electric Power Web Service System
Authors: Sun Xin , Li Qinyuan , Zhou Sheng , Sun Changhua
Published: August 2019

In this paper, aiming at the demand of active defense against attacks in the environment of "poisonous bacteria" in electric power web service system, the mimic defense technology of electric power web service system based on dynamic transformation of resources and heterogeneous redundant executors is proposed. The dynamic environment is realized through active changes of software and hardware elements at different levels, thus destroying the deterministic and persistent dependency conditions of the attack chain on the operating environment, blocking the network attack chain, solving the problem of unknown attack defense using unknown vulnerabilities and unknown backdoors, and effectively enhancing the network security of key Web application systems in the power industry. On this basis, in order to verify the security of mimic defense technology in electric power web service system, a security test method is given to verify the feasibility and effectiveness of mimic defense technology on web.
Application of Improved Fuzzy-Smith Controller in the Control System of Cement Rotary Kiln
Authors: Zhang Jianjun
Published: August 2019

Rotary cement kiln is a large time delay and inertia component. It is a typical problem in industrial process control, so advanced control methods should be adopted. This paper designs an improved Fuzzy-Smith controller. It combines Fuzzy with improved Smith predictor control method. Smith predictor algorithm compensates for the time delay and Fuzzy control is used to enhance the robustness of the system. The simulation results show that the improved Fuzzy-Smith controller owns stronger robustness and much better control quality. And it is an appropriate and simple control method for the system with pure lag.
The design of remote-control system for photographic equipment
Authors: Lan Yang , Song Shuxiang , Jiang Jianping , Su Xiao , Xia Haiying
Published: August 2019

In demand of remote control of photographic equipment, we design a remote-control system for photographic equipment. The system uses the stabilizer as the platform to realize the transmission of the state parameters of photographic equipment and stabilizer to the mobile device by the self-designed wireless communication interaction protocol and control protocol. It can also control the camera equipment and stabilizer according their states. The test results show that the remote-control system of the photographic equipment designed in this paper meets the design requirements, facilitates the user’s surveillance filming work and harmonizes the user experience.
Trajectory Tracking Method Designing based on Adaptive Fast Convergence Terminal Sliding Mode Control
Authors: Wen-guang Zhang , Wen-jun Yi , Jun Guan , Yue Qu , Zhendong Liang
Published: August 2019

Concerning the plan trajectory tracking problem of gliding missile, the fast convergence sliding mode control is used in the designing of guidance law. To cope with the problem of parameter perturbation, adaptive method is proposed to update the value of parameter timely. Theoretical analysis and numerical simulation show our method can estimate the angular rate of missile precisely, and performs well in trajectory tracking.
Research and Design of Self-service Car Washer Remote Monitoring System Based on NB-IoT
Authors: Li Bin , Wang Gaofei , Yao Jun
Published: August 2019

In order to solve the problem of increasing maintenance cost of self-washing machine operators, this paper designs a self-service car washing machine remote monitoring system based on NB-IoT. In this system, MSP430F5438A chip is used as the controller and NB-IoT is used as the communication module to realize the remote communication between the car washer and the server. Based on ASP.NET Core, React and SQL SERVER database, the monitoring centre saves the running state information of the car washing machine in the cloud for management. The test results displaying on the browser show that the system is stable and reliable, and has the advantages of low deployment cost and great real-time performance.
Attitude Decoupling Control for Quadrotor Aircraft Based on Linear Active Disturbance Rejection Control Technique
Authors: Zhou Saijun , Wan Hui , Yang Sen , Zhang Chengwang , Xiong Xuying
Published: August 2019

An attitude decoupling controller based on linear active disturbance rejection control (LADRC) is designed for small quadrotor aircraft, considering the problems existing in the controller based on active disturbance rejection control (ADRC), such as complicated design and parameters tuning difficulties in project implementation. First, the nonlinear and couple model of small quadrotor aircraft were established, and the LADRC was introduced, which described the principles of the ability of decoupling rejection control for multiple-input and multiple-output (MIMO) system and tuning method, then the model was decoupled. After that, the attitude controller based on second-order LADRC is designed and parameters is turned according to the desired settling time. F. Finally, the simulation test of the design was carried out. The simulation results indicate that the designed controller has strong robustness and anti-disturbance performance, and does not have accurate models. Moreover, there is only one parameter needs tuning in this controller, which makes the design easy to be realized and shows great engineering value.
Simulation of the pre-magnetization technology for transformer on ship power system
Authors: Wu Dali , Zheng Zhongxiang , Yin Xianggen , Wang Yikai , Xu Biao
Published: August 2019

The no-load closing of transformer in the medium-voltage ship power system will cause a large inrush current and threaten the security of the system. This paper aims to provide reference for the pre-magnetization technology of the transformer in medium-voltage ship. Firstly, the basic principles of the inrush current and the series small-capacity transformer based pre-magnetization technology for the transformers are analyzed. Based on the analysis, the typical medium-voltage engineering ship and power generation ship are taken as examples to perform the simulation of the series small-capacity transformer based pre-magnetization scheme, and the result shows that the pre-magnetization technology can suppress the inrush current effectively. Besides, the factors of the switch closing time and the number of generators operating in parallel are considered in the research and their effects of on the inrush current as well as the transient voltage drop are analyzed. Finally, the influence of the pre-magnetization scheme on the differential protection is studied and the operation suggestions are given.
Polymorphic accident inversion method in on-line monitoring system of power transmission and transformation equipment
Authors: Chang Xiaqin , Sun Chao , Liu Dehe
Published: August 2019

Most of the equipment on-line monitoring system does not have the function of accident inversion or weak function. Even if it has the function of inversion, it only records the real-time steady-state information of a specific type within a period of time before and after the time of the accident, which cannot meet the actual needs of customers. This paper proposes a polymorphic accident inversion method based on time series database, equipment on-line monitoring of the site of all collected data by time sequence database for high-speed storage, reappear in the inversion environment equipment failure accident system before and after all of the conditions and for the whole process of continuous play, for the analysis of status evaluation for power grid provides a simulation environment of inversion and effective data to support. Based on the design idea of polymorphism, the user accident inversion requirements under different scenarios are satisfied.
DOA Estimation for Coherent Signals Based on Modified Matrix Reconstruction
Authors: Zhang Wei , Han Yong
Published: August 2019

In this paper, we propose a modified ESPRIT-like method for direction-of-arrival estimation of coherent signals. Any two rows of the output covariance matrix is adopted to reconstruct two Toeplitz matrices, after Hermitian transpositing and forward and backward smoothing, the equivalent data matrix is utilized for coherent signals DOA estimation combined subspace-based algorithm. The presented method solves the problem that the equivalent covariance matrix of ESPRIT-like method is not Hermitian matrix, which leads to the incomplete information utilization. The simulation results show the effectiveness of the proposed method.
Design on four-axis aircraft control system based on Somatosensory interaction
Authors: Mao Lukai , Xu Xianglian , An Mengqiang , Luo Chenhu , Zhou Wei
Published: August 2019

The four-axis aircraft has the characteristics of small size and symmetrical structure, and has important application value in complex environmental monitoring such as block, tunnel, indoor and close to the ground. However, the aircraft uses remote control and the overall control is difficult. To this end, a four-axis aircraft control system based on somatosensory interaction is presented in this paper. The Leap Motion controller is used to identify and read the hand motion data, and the control system reads the hand motion to realize the flight control of the four-axis aircraft. Research shows that the four-axis aircraft control system can effectively recognize the operator’s gestures. The gesture control target attitude value is very close to the aircraft attitude angle, the control rate is high and the corresponding speed is fast, which has certain application value.
Electric Vehicle Development Planning System Based on AHP and BASS Model
Authors: Wang Yan , Yang Wei , Cheng Qian
Published: August 2019

With the increasingly serious challenges of energy and environment, each country applies them to boost the electric vehicle industry. The global automobile industry has entered a new stage of development of the power revolution; it definitely that construct charging station is the core element during this process. This article is going to discuss the reasonable development plan of electric vehicle according to the analytic hierarchy process (AHP) and BASS model.
Experimental Study on Smoke Control Scheme for Quasi-rectangular Tunnel Fire
Authors: Tang Jixin , Wang Jingxuan , Wang Dongfang , Zhao Wei , Lu Shichang , Liu Wanfu
Published: August 2019

Taking a quasi-rectangular Tunnel in a city as a prototype, a 1:3 scale tunnel test platform is built. Through the analysis of the smoke spread phenomenon and the change of tunnel longitudinal smoke temperature, the smoke exhaust effect of the quasi-rectangular tunnel with longitudinal ventilation in the ignition tunnel and positive pressure ventilation in the non-ignition tunnel is explored. The test results show that under the smoke exhaust mode of the longitudinal ventilation of the ignition tunnel and positive pressure ventilation in the non-ignition tunnel, in the case of a double-hole in an evacuation passage of quasi-rectangular tunnel, when the fire source is located at the evacuation passage, it can effectively prevent the smoke from entering the non-ignition tunnel.
Improved Filter Method for Feature Selection
Authors: Chen Yongle , Zhong Yiwen
Published: August 2019

To solve the problem of high data feature dimension in intrusion detection, a hybrid feature selection method has been proposed to reduce the feature dimension. This approach combines the filter and sequence floating forward search methods. Firstly, the original feature series is sorted by different filter methods, and the top ranked features are selected as the next original feature set. Based on this, the sequence floating forward search method is used to select the optimal feature subset with the Support Vector Machine (SVM) as the classifier. The method can avoid the selection and screening of the features based on the threshold and the evaluation value of single feature and categorical variable. Thereby the high evaluation characteristics obtained by the Filter method may be complementary to the low evaluation characteristics. The result shows that the proposed method can not only effectively reduce the number of features, but also can achieve a better classification performance.
Evaluation of influencing factors of TV series on network based on multivariate statistical analysis
Authors: Hou Yufei , Hu Jing , Yang Yang , Dong Lulu
Published: August 2019

This paper aims to make a systematic study on the influencing factors of network broadcast quantity of TV drama by means of multivariate statistical method. Based on the multiple primary data indexes of TV series, this paper uses factor analysis to redefine three influencing factors-publicity degree, participation degree and topic degree, and builds the algorithm of each factor model. Then, through the bivariate correlation analysis, it can be concluded that the participation degree is most related to the network broadcast quantity of TV series. After evaluating the limitations of the research process reasonably, the revelation and conclusion of promoting the development of TV dramas are drawn.
Network on Chip Low-power Mapping Method based on Tabu Search Genetic Algorithm
Authors: Zhang Baogang , Han Guodong , Chen Ting
Published: August 2019

In order to effectively map more and more complex application tasks to the network on chip processing unit to complete the related tasks with less energy consumption, a new low power mapping method with a combination of genetic algorithm and tabu search algorithm is proposed. The method makes full use of the powerful global search ability of the genetic algorithm, and combines the local search ability of the tabu search and the prominent mountain turning features to compensate for the weak local search ability and premature defects of the genetic algorithm, so as to achieve better low power consumption effect on NoC. The experimental results show that under the same experimental platform and power consumption model, the new algorithm has a great energy efficiency improvement compared with the early genetic algorithm, and has energy efficiency advantages compared with the later improved MGA and AGA algorithms.
The b-coloring of infinite graphs
Authors: Yang Qing , Tian Shuang liang , Liu Man
Published: August 2019

We consider the b-coloring number of infinite graphs. We prove that the parameters of the infinite square, triangular and hexagonal lattices are 5, 7 and 4 on the plane. We also obtain that the parameters of infinite square lattices and its induction graph of n-dimensional are 2n + 1 and n
2 + n + 1.
Effectiveness Evaluation of Wartime Equipment Maintenance Support Based on Bayesian Network
Authors: Gu Yahui , Cheng Zhonghua
Published: August 2019

Starting with the definition of wartime equipment maintenance support effectiveness, the paper deeply analyses the difference between equipment maintenance support effectiveness and equipment maintenance support capability. Based on Bayesian network theory and experts experience knowledge in the field of equipment maintenance, an evaluation model of wartime equipment maintenance and support effectiveness is established, which takes equipment command efficiency, equipment maintenance efficiency and supply efficiency as main evaluation indicators. Based on Netica software, the Bayesian network for evaluating the effectiveness of wartime equipment maintenance support is constructed. The gradient descent method is used to learn network parameters. Finally, the feasibility of the model is proved by a practical case.
Research on the Chinese Language and Literature Teaching Assisted by Computer Multimedia Technology
Authors: Tang Mingyu
Published: August 2019

The computer multimedia technology has changed the traditional teaching form, especially providing the special form to the Chinese language and literature teaching. By using multimedia technology, Chinese language and literature can make characters more vivid and three-dimensional, which promotes the improvement of teaching efficiency and effect. With the application of multimedia technology in modern teaching, its disadvantages are increasingly exposed, such as distracting students’ attention and weakening the teaching pattern. Through the "multimedia hot" cold thinking, this paper analysis the countermeasures on negative impact. We should develop multimedia teaching in a healthy, effective and sustainable way.
Comparative Analysis for Interval Modeling Algorithms of Wind Turbine Power Curve
Authors: Chu Jingchun , Yuan Ling , Hu Yang , Pan Lei
Published: August 2019

Considering the stochastic uncertainty of wind power generation, joint estimation of wind turbine power curve (WTPC) in point and interval forms is carefully studied in this paper. Firstly, inducing factors of uncertain data and outliers types in measured data are analyzed to show necessity of uncertainty modeling of WTPC. Then, theoretical principles of different methods for WTPC modeling such as Gaussian Bin method, kernel density estimation (KDE), conditional kernel density estimation (CKDE), conditional probability via Copula, Gaussian process regression (GPR) and relevance vector machine (RVM), are seriously straightened up. Their theoretical essences are discussed and compared in depth. Subsequently, evaluation indexes for point and interval estimations of WTPC are defined to quantify modeling performance. Finally, using measured data from actual 1.5MW variable-speed variable-pitch (VSVP) wind turbines, simulations are executed to show diversities of these methods and their features are discussed from different views. Meanwhile, their potential application scenarios and usage strategies are carefully analyzed, including wind power prediction and operational performance evaluation of wind turbine in an infinite-time-horizon form or a sliding-window form. It is helpful to enhance development of WTPC modeling techniques.
Multilingual Focused Crawler System based on Web Content Extraction and Path Configuration
Authors: Wang Jie , Deng Sanhong , Wang Lijuan
Published: August 2019

The multilingual focused crawler system combines web content extraction with path configuration to make use of their advantages and achieve automatic collection of network information in multiple languages. Firstly, system selects foreign language keywords according to crawling webpage language and Chinese keywords, and uses initial link to obtain webpage information. Then, it uses path configuration information or web content extraction algorithm based on the distribution line block to get webpage content, and adopts rules or configuration information to acquire new links, published time and title. Next, keywords are used to filter irrelevant information. Finally, results are presented as a list. When users use focused crawler system, the webpage path information can be configured or not according to requirements, and the collected network resources can also be searched or filtered.
Fault Diagnosis and Model Predictive Fault Tolerant Control of Networked Control Systems with Random Packet Loss
Authors: Jiang Peng , Yao Lina
Published: August 2019

In this paper, a fault diagnosis and fault tolerant control algorithm is performed for the networked control system with packet loss problem. Firstly, the random packet loss phenomenon of the system is viewed as a binary switching sequence which obeys a Bernoulli distributed white sequence taking on values of zero and one with certain probability. When a failure occurs in the system, fault diagnosis is performed by designing a residual signal and an adaptive adjustment rate for the faulty system, and then based on the fault diagnosis information, model predictive control is used for fault tolerant control for the system. By optimizing the solution of the model predictive control system, a suitable fault-tolerant controller is designed to complete the active fault-tolerant control of the system. Then the closed-loop stability of the system is analyzed. Simulation results are provided to show the effectiveness of the proposed method.
An Online Saddle Point optimization algorithm with Regularization
Authors: Xu Yue , Jiang Ying , Xie Xin , Li Dequan
Published: August 2019

This paper presents an online saddle-point optimization algorithm (OSP) to solve the optimal decision-making problem in economic games. In this setting, the two mutual competing players choose a pair of optimal decisions (Nash equilibrium) at each iteration. Firstly, the Follow the Leader (FTL) algorithm is proposed to update the decisions, and the regularization term is added to stabilize the Nash equilibrium for both players. Secondly, the saddle-point regret (SP-Regret) is used to measure the gap between the cumulative payoffs and the saddle point value of the aggregate payoff functions. To this end, this paper aims to minimize it. Finally, the simulation results show that, under the proposed OSP algorithm, the SP-Regret can still be sublinear with regularization and the decision variables of both players can be constrained to fluctuate within a certain range by adding regularization, which can effectively make the Nash equilibrium stable.
AT-LSTM: An Attention-based LSTM Model for Financial Time Series Prediction
Authors: Zhang Xuan , Liang Xun , Zhiyuli Aakas , Zhang Shusen , Xu Rui , Wu Bo
Published: August 2019

This paper proposes an attention-based LSTM (AT-LSTM) model for financial time series prediction. We divide the prediction process into two stages. For the first stage, we apply an attention model to assign different weights to the input features of the financial time series at each time step. In the second stage, the attention feature is utilized to effectively select the relevant feature sequences as input to the LSTM neural network for the prediction in the next time frame. Our proposed framework not only solves the long-term dependence problem of time series prediction effectively, but also improves the interpretability of the time series prediction methods based on the neural network. In the end of this paper, we conducted experiments on financial time series prediction task with three real-world data sets. The experimental results show that our framework for time series pre-diction is state-of-the-art against the baselines.
Research on K-means Algorithm Optimization based on Compression Learning
Authors: Shuai Cai , Lei Zhu , Zeng Weijun , Yu Re , Xiao Zhao
Published: August 2019

The K-means algorithm is one of the classical algorithms of clustering. However, as the data set increases, the computational cost of clustering becomes higher. The orthogonal matching pursuit algorithm is a classic signal reconstruction algorithm. The paper improves its algorithm based on compression learning and applies it to the K-means algorithm, which uses the sketch of the original data set to estimate the cluster center. The experiment results show that the clustering effect of this method is similar to that of K-means algorithm, because the size of the sketch is independent of the size of the original data set, only related to the number of centroids K and the dimension n of the data, which reduces the computational complexity of the algorithm. For large data sets, experiments show that the improved algorithm is more optimized than the traditional K-means algorithm.
Evaluation of Teaching Effectiveness Based on Gray Markov Chain in the Context of MOOC
Authors: Li Zhang
Published: August 2019

Markov chain is an analytical method to study the law of change between different states of an event in a random process. In this paper, the GM (1, 1) model and Markov model are combined under the background of MOOC to construct the gray Markov model. The Grey Markov model evaluates the using effect of MOOC in the teaching process.
Granular computing and reasoning based on rough logic
Authors: Wu Yanhong , Bai Jianxia , Shen Liping
Published: August 2019

This paper makes an effective combination of rough set and granular computing, and proposes a logic inference form based on rough granular computing. The advantage of rough logic granular computing lies in its demonstration form which is given by array, it can illustrate the formula semantic more directly, and furthermore the reasoning results can be got according to the data information searched momentarily.

Chinese classification code: O159 Document identification code: A
A threshold segmentation method for non-uniform illumination image based on brightness equalization
Authors: Guo Hui , Chen Peng , Huang Shun , Hu Cong , Zhang Lijun
Published: August 2019

In the process of image acquisition, non-uniform illumination images are common due to poor lighting, surface reflection, or a combination of these two factors. In order to improve the quality of image segmentation, an image threshold segmentation method is proposed for non-uniform illumination images. First, the brightness of different regions in the image is compensated to make the brightness background of the whole image consistent. Second, the gradation histogram of the processed image is obtained and simulated into Gaussian distribution curve, then the inflection points of the curve are calculated. Finally, the two inflection points are set as thresholds to segment the image after brightness equalization. This method eliminates the influence of non-uniform illumination to a certain extent and gets a better segmentation effect. Experiments were carried out on images containing several different types of non-uniform illumination. The results demonstrate that the proposed method outperforms the compared enhancement algorithms in threshold segmentation.
Image retrieval based on convolutional neural network and linear discriminate analysis
Authors: Xia Wei , Hu Cong , Cheng Xianghui , Chen Peng , Jin Xing
Published: August 2019

Image retrieval is a hot research topic in the field of computer vision image processing, and the user queries the image database for similar images and produces a list of recommendations. The paper firstly sets forth the research status of image retrieval, then the convolution neural network is briefly introduced. Due to the traditional image retrieval and recommendation system use manual extraction of image features is relatively cumbersome, and the retrieval accuracy is not high research status, the paper proposes an image retrieval method based on the improved convolutional neural network and linear discriminate analysis. Caltech256 and CIFAR-10 datasets were trained using the model in this paper, experimental, results show that the proposed method can effectively improve the performance of retrieval.
Dynamic multi-objective optimization of battlefield support resources based on Interactive Genetic Algorithm
Authors: Ning Lei , Jiping Cao , Yinjie Gao , Qingxiao Wang
Published: August 2019

With the deterioration of the international environment and the intensification of military conflicts, the scale, type, direction and emphasis of military activities are constantly changing. which requires the corresponding adjustment of maintenance and support resources to ensure that the wartime support tasks are met in various battlefield environments. Based on the background that the support demand and battlefield situation have changed and the original resource support scheme can not meet the needs of wartime support tasks, this paper readjusts the support resources dynamically to ensure the strong support of combat forces, constructs a dynamic multi-objective optimal allocation model of battlefield support resources, formulates corresponding strategies, and presents a heuristic algorithm for solving the model.
Model Parameter Identification of FCC Reaction Regeneration System Based on Affine Bat Algorithm
Authors: Li Zhe , Chu Jizheng , Chu Minghui , Liu Hongjuan
Published: August 2019

In real industrial, due to the existence of measurement error, noise interference and other factors, the traditional bat algorithm can not effectively obtain the mathematical model of the actual system. In order to solve this problem, this paper proposes an affine bat algorithm. The bat algorithm is introduced to find the median of the optimal value range of the parameters, and the affine algorithm is used to calculated the value radius of the parameters. In order to make the radius shrinking more flexible, a new interval shrinking strategy was added. Then, the algorithm is applied into the catalytic cracking reaction regeneration system. The effectiveness of the proposed algorithm is verified by comparison with industrial field data.
Coal blending optimization for power plants with particle swarm algorithm
Authors: Gao Shuci , Li Bin
Published: August 2019

Optimizing coal blending strategy is important for increasing the running efficiency and lowering down the emissions of utility boilers. A model, considering price, calorific value, ash content, volatile matter content, moisture content and sulfur content of the coal, has been established using quantum-behaved particle swarm optimization algorithm. The calculation result showed that, compared with the particle swarm algorithm, the quantum particle swarm had better global search capability and astringency, the optimal coal blending ratio can be quickly searched at reasonable boiler running cost. The blending mode is in line with the actual requirements, and the algorithm has high stability.
Construction of Construction Engineering Cost Cloud Service Platform and Its Application
Authors: Liu Yuqin
Published: August 2019

With the continuous development of industrial informationization, engineering cost informationization has become more and more important. However, as the amount of engineering cost information increases and changes constantly, engineering cost information faces great challenges. In this paper, we firstly analyze the advantages of cloud computing in the field of engineering costing, and then combine cost information with cloud computing technology to build a cloud service platform for engineering cost information services. The construction of the project cost cloud service platform can not only lead the development trend of the industry information service, to effectively meet the extensive needs of enterprises for building materials and materials, but also greatly reduces the cost of intermediate links and the asymmetry of information, so that the losses incurred are conducive to promoting fair and open market competition.
An Ensemble Learning Method for Dialect Classification
Authors: Ye Shuai , Zhao Ruoyan , Fang Xinru
Published: August 2019

Dialect Classification Task is the first step of the Multilingual Automatic Speech Recognition System. Because of the difference of accent between dialects in different regions, the problem of Dialect Classification is a very challenging one. Dialect classification is widely used in information processing, military information retrieval and other fields. Therefore, the study of dialect classification is of great significance. This paper proposes an ensemble learning method for dialect classification. Firstly, the low accuracy of dialect data sets is processed and amplified. Then, three models, GRU, CNN and DNN, are used to classify dialects respectively, and the final dialect types are determined by voting. The accuracy of dialect classification by this method is higher than that of the single model with the best performance, the validity of the model is verified.
The Least-squares Algorithm for Interferograms with Random Phase Shifts
Authors: Zhai Zhongsheng , Li Jinsong , Zhang Yanhong , Lv Qinghua , Wang Xuanze
Published: August 2019

In surface shape measurement with phase-shifting interferometry, the extraction accuracy of initial phase is significant and it will influence the correct of measurement result. A least-squares algorithm is proposed to solve the parameters of interferograms with random and known phase shifts. It can rapidly extract the initial phase, modulation amplitude and background intensity without any iteration. Numerical simulations and optical experiments are implemented to demonstrate the performance of the proposed method. The simulation and experiment results show that the presented method is effective, rapid and accurate.
The development and application of computer aided software in college physical education
Authors: Yang Guiqi
Published: August 2019

The development and application of computer aided software in college physical education has many benefits, such as, it is helpful for stimulating students’ subjective initiative and improving their innovative spirit and practical ability. The computer aided software can promote the physical education teaching in colleges and universities to be modernized, scientific and standardized. This paper first defines the meaning of computer aided software application, and then it analysis the frame design and ADDIR modeling. Finally, this paper briefly analysis the application of CAI and CAT to improve the overall teaching level of college physical education.
Analysis on Research Frontiers and Hotspots of “Artificial Intelligence Plus Education” in China --Visualization Research Based on Citespace V
Authors: Jing Liu , Ruyu Xie , Anling Song
Published: August 2019

With the rapid development of artificial intelligence technology, the combination of artificial intelligence and education attracts increasing attention and thereby more and more scholars start their research on “artificial intelligence plus education”. Through analysis of knowledge graph with Citespace, a tool utilizing visualization approach analyzing research base, frontiers and hotspots, it could be learned that the research frontiers of “artificial intelligence plus education” mainly include “application of artificial intelligence education, smart education, big data of education” and the main research hotspots consist of “higher education, education reform, intelligent education, vocational education, big data of education, application of artificial intelligence education”, based on which the future development trend of “artificial intelligence plus education” is also predicted.
Development Trend of Software Process Model
Authors: Hao Liangliang , Zhang Jinsheng , Ma Xiaoyu
Published: August 2019

With the continuous development of software technology, the scale and complexity of software have never been higher, and the difficulty of design and development has also increased. The software process changes the chaotic situation of software development and provides an effective roadmap for the software development team to make the development process more controllable and stable. This paper briefly introduces the software process, and introduces the existing software process model in detail. Finally, the development trend of software process model is forecasted.
Teaching Research of Single-chip Microcomputer Principle Based on Knowledge Architecture
Authors: Hao Shangfu , Ma Yanli , Sun Baili
Published: August 2019

According to the “cross penetration” organization way, this paper will take the undergraduate “system ability” training as the goal, comb the relevant knowledge of many core courses for effective connection, construct complete knowledge system of this course, and draw the knowledge point connection. This teaching mode makes clear the skeleton of the learning content, carries out the image concretization of the abstract knowledge, provides an effective idea for the construction and teaching of the single-chip microcomputer course, and provides a strong support for the student’ system ability, practice and innovation ability.
Research on Application Scenario of Large Data Cloud Service Platform for Power Energy Measurement
Authors: Zheng Angang , Ding Xunan , Shang Huaiying , Liu Yan
Published: August 2019

This paper studies the technical framework and composition of the large data cloud service platform for power energy measurement, and discusses the application scenario design of the platform for government, enterprises and users. Three typical application scenarios of city perspective, suspected power theft intelligent diagnosis and intelligent analysis and application of residential power load characteristics are discussed in detail. Finally, the development of cloud platform and its application in business field are prospected.
The Research on Big Data Platform based on Timetable Management
Authors: Xu Tong , Zhou Leishan , Bai Zixi , Li Weihua , Guo Bin , Wang Zeyu
Published: August 2019

Timetable is the core technical plan of the railway transportation organization, and it is the basis for the daily work. However, at present, China’s timetable management technology is relatively backward, which cannot meet the safety and efficiency of actual transportation. This paper analyzes the problems in the current situation of tiemetable management. Starting from the problem, the application research of big data platform is proposed. Firstly, the data is collected and normalized, then the safety analysis and index analysis are carried out, and finally the intelligent optimization is carried out.
Short-term load forecasting of BP network based on bacterial foraging optimization
Authors: Han Yikan , Xiong Hejin , Wei Di
Published: August 2019

The traditional BP neural network search algorithm based on gradient orientation is easy to fall into local minimum, the convergence process is slow, and it cannot guarantee the convergence to the global optimal solution. In order to improve the prediction accuracy of short-term load forecasting, this paper applies the bacterial foraging optimization algorithm to BP neural network, using its unique breeding and eviction operation, can improve the convergence speed of the algorithm, strengthen the ability to search the global optimal solution, and reduce the prediction error.
A method for software trusted update on network security equipment
Authors: Wang Guan , Yan Zhiwei , Chen Jianzhong
Published: August 2019

Network security equipment plays an important role in preventing network security attacks. However, with the change of network environment and the upgrade of network attack means, the protection ability of the security software on the existing network security equipment will gradually decrease with time. For some large organizations or enterprises, their information security operations centers lack attention to software version control and software update processes for network security equipment, resulting in some security crises in the software update process. In this paper, we propose a method for software trusted update on network security equipment. This method can provide trusted identify authentication, secure data transmission and effective software version control. It enables the network security operations centers to more safely manage software update process on network security equipment. This method uses the functions of Trusted Cryptography Module to provide trusted execution environment. In this paper, we had introduced the process design, the prototype design and theoretical analysis to explain the feasibility and safety of this method.
Design and Implementation of School Ticket Ticketing Service Platform Based on Kubernetes Container Self-Scalable Technology
Authors: Huang Yiting , Wang Mantao , Zou Lin , Zhao Anqi , Yao Yuanzhou , Yao Fengying
Published: August 2019

The current system of line colonel tickets booking in colleges and universities is not able to predict the high and low peak of student booking flow in time, which leads to the unreasonable allocation of computer resources. In order to optimize the online booking experience of campus students, this paper proposes a design scheme of the school bus ticket booking service platform based on Kubernetes container self-expanding technology. The experiment shows that the platform can monitor and predict the booking situation of students, timely respond to the high and low peak period of student booking on campus, ensure the smooth experience of students booking online, which reflects the advantages of the platform.
Application of EXCEL commonly used in navigation data processing
Authors: Dai Xiuliang , Ji Chao , Wang Hongzhi
Published: August 2019

Aiming at the problem of large amount of data calculation and collation in navigation work, several EXCEL data processing methods of commonly used nautical tables are presented based on the advantages of EXCEL with its flexible use, strong expansibility and easy storage. All the calculation processes involved in common nautical tables can be realized by manually inputting corresponding parameters through formula input and logical setting. This method not only reduces the amount of manual calculation, but also improves the accuracy and accuracy of data calculation and realizes the electronic storage of data, which is of great benefit to improve the efficiency of navigation.
Weak Convergence of Iterative Approximation for Fixed Points of A Monotone α-nonexpansive Mapping
Authors: Zhang Rong
Published: August 2019

In this paper, a modified approximation method is introduced for finding the fixed point of α-nonexpansive mapping in a uniformly convex Banach space with a partial order. Moreover, the weak convergence theorems of the fixed point of α-nonexpansive mapping are established under Opial and weak-Opial conditions, respectively.

Topic classification: 47H05; 47H09; 47H10 CLC number: O177.91 Document code: A