bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge Map Analysis of Trade Union Informatization Construction Based on CiteSpace
Authors: Zhao Lili
Published: March 2020

This paper uses knowledge atlas to analyze the current research status, development trend and current research hotspots in the field of trade union informatization, and uses CiteSpace V knowledge atlas software to visualize and analyze the documents retrieved from CNKI database. Through the analysis, we can find that the information construction of trade unions in China shows a trend of overall fluctuation and rise, and the related research has reached a peak in 2012. After that, the information construction of trade unions in China has focused on several research topics, such as archives management and affairs management, while the overall information construction of archives and other research topics are as follows. It is the hotspot and frontier of information construction of trade unions in China at present and in the future.
Streaming information integration unit for mass customization
Authors: Yang Liu , Ding Xiangqian , Hou Ruichun , Tao Ye , Yang Ning
Published: March 2020

With the development of the information industry, there are a large number of software systems in enterprises. Due to the lack of top-level design, the data assets in these systems have formed data silos. Under the trend of mass customization production, it is of great significance to combine factory manufacturing data with user data to connect traditional information silos into user-centric intelligent production lines. Traditional offline batch processing tools cannot real-time and automated decision-making in mass customization. Based on the streaming programming model and distributed computing technology, this paper proposes a streaming information integration unit for mass-customized industrial Internet platforms. This unit provides information sharing capabilities in the process of enterprise information management, eliminates information blind spots in the service and workshop layers, and integrates internal information resources of the enterprise. Through the realization of two-way real-time transmission of production information, the user experience is improved and the delivery cycle of mass customization is shortened. In addition, data acquisition tests are performed using factory line temperature sensor data. The experimental results show that compared with the traditional batch processing scheme, the acquisition delay of this scheme is much lower than that of traditional batch processing tools, which provides a feasible solution for information integration in mass customization systems.
Risk of credit assessment of Chinese bank of commerce based on KMW model and its empirical research
Authors: Dai Kaichuang
Published: March 2020

Taking Chinese commercial banks credit risk into account, we analyse a situation of many listed commercial banks. Based on the sample Banks’ financial data in recent years, an analysis of measurement model of risk of credit, using the KMV model to measure bank’s risk of credit, and monitor the model of our country commercial bank risk of credit measurement in practical, to find a suitable way for the reality of our country’s risk of credit model to enhance the competitiveness of Chinese commercial banks.
Introduction to Eva Method and Corporate Valuation - taking Tsingtao Brewery as an Example
Authors: Fan Wen
Published: March 2020

EVA (Economic Value Added) method, namely the performance evaluation method of Economic Value Added, is a method of business performance proposed in view of the defects of traditional accounting profits. The advantage of EVA method is that it reflects the value-added income obtained by shareholders from business activities. Generally speaking, EVA is equal to the balance of the enterprise’s after-tax profit after deducting the cost of equity capital and debt invested. Taking tsingtao beer as an example, this paper analyzes the enterprise valuation by EVA method.
Research on the Application of Convergence Ratio Parameter in Multi-Objective Evolutionary Algorithm
Authors: Zhang Libiao , Li Shuang , Li Chuankang , Zhang Chengqi , Zhang Bin , Ge Meiyi
Published: March 2020

At present, evolutionary algorithms based on Pareto domination have been extensively studied. Sorting selection method is the most effective environment selection method in this kind of algorithm, which can effectively improve the convergence of the algorithm. But this method is prone to over-convergence of the population. Based on this, this paper proposes a convergence ratio parameter, using a sort selection method to screen a certain proportion of the solution, and the remaining places are selected using a binary game strategy. In this paper, by using this parameter in the KnEA algorithm and comparing it with the original algorithm, it is proved that the convergence ratio parameter can improve the diversity of evolutionary algorithms based on Pareto domination.
Indoor image matching algorithm based on improved SIFT algorithm
Authors: Zhang Libiao , Liu Yuqing , Zhang Chengqi , Zhang Bin , Ge Meiyi
Published: March 2020

Aiming at the indoor positioning by using SIFT algorithm, because the structure information is more or similar, and there is no obvious identification, which will lead to low accuracy and poor applicability, this paper proposes an improved SIFT algorithm for image matching. Choosing Junction feature which is more suitable for indoor structure, and combining with the improved CPW energy function method to eliminate mismatching points. By testing the actual image to compare and analyze get the feasibility and validity of the new algorithm.
Improved GPSR routing protocol based on weight function in shipborne ad hoc networks
Authors: Li Zhao , Yin Bo , Gao MingXing , Zhao Xin
Published: March 2020

The network topology of the shipborne ad hoc network changes rapidly, which leads to instability of the data transmission link. Therefore, finding a stable data packet transmission link has become a hot research topic. This paper improves on the basis of the original GPSR routing protocol, and evaluates the link quality by selecting four metrics, including direction of neighbouring ship, link risk, density of neighbouring ship and proximity. The analysis results show that the improved protocol is superior to the GPSR routing protocol in terms of packet delivery rate.
Similarity study of single nucleotide polymorphism (SNPs) data
Authors: Yu Wenjun , Hu Bin , Huang Yu
Published: March 2020

Based on the classification of patients, the analysis of genetic data has important complementary significance for predicting the progress of patients’ diseases and subsequent treatment. Massive sequencing data provides the basis for genetic analysis. We used GAMETES to simulate single-nucleotide polymorphisms (SNPS) data, and proposed correlation clustering analysis algorithms to provide a scientific basis for understanding the consistency of clinical data and genetic data.
View-driven compressed sensing method of CT image reconstruction
Authors: Wu Lijun , Sun Fengrong , Yang Jiangfei , Yu Qianlei , He Fangfang , Yao Guihua
Published: March 2020

In order to significantly reducing the X-ray dose of CT examination, this study focuses on reconstructing the tomographic images from sparse projection data with sufficient accuracy. Aiming at two-dimensional (2D) image reconstruction of fan-beam projection under circular scanning, this paper proposes the view-driven system model and designs a CT iterative image reconstruction method by combining the iterative algorithm and the compressed sensing theory. The simulation results show that the algorithm has high numerical accuracy, low computational complexity, less memory overhead, and strong engineering practicability under the condition of ultra-sparse projection data (no more than 20 view angles for fan-beam scanning in the range of [0,2π)).
Analysis and Optimization of Electromagnetic Noise of Interior Permanent Magnet Synchronous Motor for Vehicle
Authors: Ye Fei , Liu Wanqiu
Published: March 2020

This paper takes an interior permanent magnet synchronous motor (IPMSM) of electric vehicle as the research object. Firstly, the flux density of the air gap, the electromagnetic force wave on the stator surface and the torque ripple of this motor are analysed from the perspective of electromagnetic field. Secondly, the modal analysis is carried out from the aspect of the structure of the motor, and the electromagnetic noise of the IPMSM under no-load condition and load conditions is studied from the above two aspects. Combined with the electromagnetic simulation software, the order, frequency and amplitude of the electromagnetic force wave under no-load condition and load conditions are calculated accurately. The modal frequencies and structural vibration of the stator are obtained by finite element simulation. To achieve the ultimate effect of reducing electromagnetic noise, the electromagnetic noise is optimized by slotting the outer circle of the rotor. The research provides a way to optimize the electromagnetic noise of the interior permanent magnet synchronous motor (IPMSM) for electric vehicles.
Research on power quality prediction of fluctuating load
Authors: Sun Xuri , Li Yanzhen , Shen Pengfei
Published: March 2020

With the development of intelligent distribution network, power quality prediction is becoming more and more important. In this paper, the power quality prediction methods are studied and applied to a power grid. Firstly, on the basis of time series research, two mathematical models of ARIMA and BP neural network are derived and analyzed, and the corresponding power quality data prediction models are established. Then, the two models are applied to two datasets of different sizes to test and analyze their predictive effects. Based on the analysis and comparison of the prediction results, the improvement direction to further improve the prediction accuracy of the method is proposed.
Analysis on the Common-mode Voltage and its Effects of a Marine SPWM Frequency Conversion Speed Regulation System
Authors: Lu Yang , Sun Guoliang , Zuo Hongwen , Xiao Hairui
Published: March 2020

The AC frequency conversion speed regulation technology has been used widely in the ship field for its excellent operating and control characteristics, whereas it can also bring out negative effects such as the common-code voltage on the drive system. The analysis is made on the common-mode voltage of the SPWM frequency conversion speed regulation system, including its generation mechanism, spectrum features, negative effects and suppression methods, which provides beneficial reference and enlightenment for the improvement of the SPWM frequency converter technical performance as well as the equipment maintenance and management.
Transmission network planning considering line maintenance plan with new energy resources integration
Authors: Li Xueliang , Sun Donglei , Wang Zhixin , Xu Hao , Wang Mingqiang
Published: March 2020

In this paper, a stochastic optimization model of transmission network planning considering annual planned maintenance of lines under new energy integration is proposed. This model combines the planning model and maintenance model together, and can determine the optimal transmission capacity of lines and the annual maintenance plan simultaneously. In addition, in order to take into account the uncertainty of wind power output, the multi-scenario probabilistic method is used, and the nonlinear constraints in the model is equivalently linearized, therefore the model can be converted into a mixed integer linear model and can be directly solved by the commercial solver. To validate its effectiveness and superiority, the proposed stochastic optimization model is tested on the IEEE RTS-24 system.
Using Energy Storage to Relief Transformer Overloading after Coal-Fire Generator Retirement
Authors: Ma Junchao , Xuan Xiaohua , Zhao Xianhe , Geng Guangchao
Published: March 2020

Energy storage system (ESS) is believed to be a significant source of power system operational flexibility given renewable generation with high penetration. This work reports a unique scenario of relieving the overloading of a 500kV transformer after the retirement of a coal-fire generator. ESS is proven to be an ideal solution in terms of technical feasibility and economic performance. A look-ahead operation strategy is to utilize ESS to mitigate the identified transformer overloading bottleneck. A case study using a synthetic version of Zhejiang power grid confirms the effectiveness of the proposed ESS based approach.
Intermittent energy station coordination control based on cooperative game
Authors: Hou Lei , Tian Ersheng , Ma Tao , Zhu Guodong , Zhang Zhengwen , Yang Yexin , Liu Zhe , Li Peng
Published: March 2020

Aiming at the uncertainty output of intermittent energy stations in new ecological energy towns, this paper proposes a risk trading scheme based on the cooperative game mode of multi-energy station main interests. Combining wind power and photovoltaic power generation through the risky electricity trading between different energy stations and take full advantage of the natural complementarity between wind and solar energy in time and region, which is expected to reduce the risk of wind power and PV forecast deviation. At the same time, in view of the different load characteristics of cold/heat/electricity and play the coordination and complementary capabilities, which can realize coordinated control of new ecological energy stations. Finally, the proposed method are verified by simulation.
Research on the placement algorithm for Ubiquitous Internet of things terminals in distribution network
Authors: Li Kemeng , Wu Zhensheng , Wang Wenlin , Zhang Xuemin
Published: March 2020

Placement of terminal is a crucial problem for Ubiquitous Internet of things in distribution network, which can ensure that the power system is fully observed. Based on Prim algorithm, an optimal placement method is utilized to solve the observability problem in power distribution network is proposed in this study. The method has fast calculation speed, precise and reliable results, good adaptability and low cost. At the end, the effectiveness of the established model and processing technique is verified by simulations on IEEE14-bus and 33-bus test system, which can be referred to by relevant researchers.
Single machine workpieces sorting problem with time window
Authors: Cheng Bihui
Published: March 2020

In the research process of sorting problem, on the one hand is the development of the diversity of solving methods, on the other hand is the continuous generation of modern problem model due to the emergence of many practical problems, the basic assumptions of the classical sorting problem has been constantly breakthrough, a large number of modern sorting problems. The problem with time window constraint is studied. The sorting of only one machine workpieces is discussed, this paper designed a 3/2-approximation algorithm, the algorithm complexity is.
Research on Non-intrusive Load Decomposition Based on FHMM
Authors: Yang Chunhui , Wu Zhensheng
Published: March 2020

Non-intrusive load monitoring and decomposition, as one of the important parts of intelligent power utilization system, can deeply analyze users’ internal load components and obtain user’s electricity consumption information from different scales, which is of great significance to users and power companies. In this paper, a non-intrusive load decomposition method based on factorial hidden Markov model using low frequency data is proposed. Kmeans-II algorithm is used to cluster the working state of a single load, the results of which are used to calculate the parameters of the HMM for individual load model. The total load model is represented by a factorial hidden Markov model, which transforms the load decomposition into an optimization problem with maximum probability. The improved Viterbi algorithm based on event detection is proposed to solve this optimization problem, so as to obtain the working state sequence and realize load decomposition. Finally, the correctness and practicability of the method are verified by an example.
Research on Frequency Tracking of Magnetic Coupled Resonant wireless Power Transmission System
Authors: Deng Anquan , Zhu Wu , Wang Guangdong , Song Siyuan , Zhu Yijia , Lin Na
Published: March 2020

In order to solve the problem that the magnetic coupling resonant WPT system with SS compensation structure causes a decrease in transmission efficiency when it is detuned, the resonant state of the system is tracked by detecting the output voltage of the transmitting coil inverter and the coil current of the receiving coil. Phase difference is converted into dc voltage signal with phase discriminator, ADC module is used to sample dc signal, PID algorithm is used to track resonance frequency of the system, 90° phase difference is taken as expected value of PID algorithm, and 90° phase shift is indirectly realized by digital method. The experiment shows that the resonant frequency tracking method is effective.
A Graphical Model of A Flywheel Energy Storage System based on Causal Ordering Graph and Energetic Macroscopic Representation Methods
Authors: Ren Jingpan , Ma Hongwei
Published: March 2020

Flywheel energy storage system is becoming more and more popular for its high efficiency, no pollution and low cost during the whole life-time. To study its characteristics and control methods, the model of a flywheel system is required to be established firstly. This paper built the graphical model of a flywheel system based on the Causal Ordering Graph (COG) and Energetic Macroscopic Representative (EMR) methods, which enhance the visualization and clarify the inside energy flow of the model. A typical control method of the flywheel is also derived and realized by the graphical methods. Simulation results based on Matlab/Simulink verify the effectiveness of the proposed model and its control method.
The research on simulation model and application of new energy generation
Authors: Ji Cui , Hua Siming , Zou Bingbing , Zhang Hua , Diao Chang
Published: March 2020

Facing the rapid development of renewable energy which is represented by wind and photovoltaic power generation, the installed capacity of renewable energy in the power system is increasing with each passing day. While the proportion of wind and photovoltaic power in the total installed power supply of the system is small, the power system is able to fully accept wind power and photovoltaic grid-connected power generation; However, when wind power and photovoltaic reach a certain scale, the intermittency and volatility of their output make their influence on the system not negligible, so it is necessary to study the acceptance capacity of renewable energy. In this paper, based on many innovative energy sources which are connected to the power grid in a certain region, the corresponding model is established, and the risk analysis of different innovative energy links correlating with the power grid and the optimization operation research are carried out.
Scenario Simplification Strategy Based on Space-time Partition in DPV Planning
Authors: Wang Meng , Li Fang , Hong Fu , Wang Shichuan , Cheng Kaiqiang , Wang Qingyan
Published: March 2020

Distributed photovoltaics (DPV) are the main form of power supply in active distribution network (ADN). Reasonable planning of DPV is beneficial to voltage quality and power deployment. In order to characterize the operating status of ADN, while considering the randomness of load and power, an hour-level annual time-series scenario model was established. Aiming at the space-time uncertainty of the DPV planning stage, a simplified method based on Space-time partition is proposed, and the planning model is further optimized from the perspective of grid managers. Finally, the effectiveness of the proposed method is verified in a modified IEEE 33-node distribution network system..
Research on loop closing operation of hybrid grounding system based on distribution automation
Authors: Fan Hua , Qiu Haifeng , Weng Liguo , Hong Da , Li Zhuoran , Nan Junpei
Published: March 2020

During the loop closing operation, excessive loop current may occur because of the amplitude and phase difference of the busbar voltage on both sides of the loop point, causing overcurrent protection or quick-break protection maloperation. This paper takes the loop closing operation of 10 kV hybrid grounding model of arc suppression coil and low resistance in Hangzhou as an example, use ATP-EMTP software to build the simulation model. The factors affecting the size of the loop current are tested, and the specific conditions for the loop closing operation are determined. The conclusions have great significances for promoting the automatic loop closing operation of 10kV distribution network. The conclusions have great significances for promoting the automatic loop closing operation of 10kV hybrid grounding distribution network.
The Design and Implementation of GPS CA Code Simulation Experiment
Authors: Hu Chuanjun , Li Tinghui , Huang Feijiang
Published: March 2020

The research on GPS C/A code has certain practical significance. This paper chiefly explain the principles of C/A code generation. On the basis of studying the principle of GPS pseudo-random sequence C/A code generation, the 1.023MHz C/A code is simulated to modulate and transmit 50Hz navigation message information at the frequency of L1 carrier signal. Based on the GUI interface of MATLAB, an executable program is designed. By clicking the button, the time domain diagram and spectrum diagram of navigation message signal, C/A code, L1 carrier signal, spread spectrum, modulation and noise added signal are generated, and the spectrum analysis of GPS L1 satellite signal is completed on MATLAB.
Sharpening the multispectral GF-2 imagery using the modified intensity-hue-saturation approach: the different spectral settings in comparison
Authors: Liu Qingsheng
Published: March 2020

The modified intensity-hue-saturation (mIHS) is one of the widely applied pansharpening approaches on remote sensing imagery. In this work, we try to compare the pansharpened images from the mIHS approach with the different spectral settings applied to sharpen GF-2 multispectral images. Visual inspection and quantitative assessments indicated that the mIHS with the SPOT 5 spectral settings was not suitable for sharpening the GF-2 multispectral imagery. There was no evidence to suggest that the pansharpened image with the GF-2 spectral settings performed over the other four kinds of spectral settings. The mIHS with IKONOS spectral settings was recommend for applications if there were not spectral settings for GF-2 data.
Study on AC loss of single solenoid type magnet for 100 kJ HTS SMES system
Authors: Li Li , Song Meng , Hu Nannan , Shi Zhengjun , Xia Yajun , Hou Dongbin
Published: March 2020

The second generation of high temperature superconducting (HTS) strip has the outstanding characteristics of high critical temperature, large current-carrying density and high critical magnetic field, and the HTS magnets made by the strip have broad application prospects in the field of electric power, such as magnetic energy storage system, high-speed maglev train and wind power generation system. In order to promote the further development of a superconducting magnetic energy storage (SMES) system, this paper conducts modelling and simulation research on the AC losses of single solenoid type magnet for 10 kJ SMES system. Firstly, this paper optimizes the geometric parameters of the HTS magnet in the SMES system, in which the inner diameter, turns and pancake number of the superconducting magnet are the optimization variables, energy storage is the constraint condition, and the total consumption of the HTS strip is the optimization objective. Secondly, based on the T-A method, this paper established the AC loss model of single solenoid HTS magnets and calculated the AC losses of HTS magnets and thermal-conducting copper plates during the energy storage and energy release of the energy storage system.
Mechanical Behavior of Aged EPDM Insulation of High-Voltage Cable Joints in Thermal-Oxidative Environment
Authors: Song Jun , Wang Zhao , Ji Hang , Wang Ruocheng , Zhou Yunjie , He Yunyi , Jin Haiyun
Published: March 2020

In this thesis, the thermal aging behaviour at 130°C, 145°C and 160°C for 220kV cable joint EPDM insulation was investigated. The tensile strength and elongation of EPDM insulation both before and after the thermal-oxidative aging were measured, and the microstructure of materials was observed by SEM. The microstructure observation showed that pores formed and expanded into pieces inside the EPDM insulation with thermal aging course, the cracks would appear at the end of aging process. Both tensile strength and elongation of EPDM insulation decreased with aging process lasting, and decreased more gradually with increasing aging temperature. The tensile strength was more sensitive than elongation for aging process. The results can provide theoretical support for the fabrication, operating and maintenance for EPDM cable joint.
The model coil manufacture and AC losses analysis of a 100-MJ HTS SMES
Authors: Li Li , Song Meng , Hu Nannan , Shi Zhengjun , Xia Yajun , Hou Dongbin
Published: March 2020

The second generation of high temperature superconducting (HTS) strip has the outstanding characteristics of high critical temperature, high load current density and high critical magnetic field, so the HTS coils wound by the strip have broad application prospects in the field of electric power, such as magnetic energy storage system, high speed maglev train and wind power generation system. In order to promote the further development of HTS magnetic energy storage system (SMES), this paper conducts the modelling and simulation research on the ac losses of a 100- MJ toroid-type HTS SMES. Firstly, the geometric structure of the system are introduced. Then, the ac loss models of HTS coils and the non-superconducting components in the energy storage system are established by H-formulation and A-formulation, respectively. Based on both the models, we calculate the ac losses of HTS coils and related components during the process of energy storage and release. Finally, the model coils are winded and impregnated to show the structure.
Insulation design of ±10kV bipolar coaxial HTS DC cable
Authors: Hu Lei , Dai Shaotao , Xu Ying , Cai Yuan , Ma Tao , Zhang Teng , Wang Bangzhu
Published: March 2020

The high-temperature superconducting cable has low loss and high current-carrying density, and has extensive research prospects in power system transmission. In recent years, the advantages of DC transmission over long distances have become more and more obvious, and superconducting DC transmission has also become a research hotspot. Bipolar coaxial DC cable has a good economy, compact structure, and greater transmission power density, but also requires higher insulation, so the insulation design is particularly important. In this paper, a 10 kV / 6000 A / 10 m bipolar coaxial superconducting DC cable with a cold insulation structure is considered. In consideration of DC withstand voltage and lightning shock, an insulation design is carried out and a type test is performed. The test results meet the cable insulation requirements.
Principles and Applications of UHF Method for Partial Discharge Detection in GIS
Authors: Xu Guangke , Yun Yuxin , Zhang Weiwei , Li Xing , Chen Lingying
Published: March 2020

In this paper, the causes of partial discharge in GIS and the existing detection methods are described, and signal processing and pattern recognition method of insulation defect in UHF detection method are introduced emphatically.
Application of numerical calculation to simulation analysis of stray current corrosion in radiator of HVDC Converter Valve
Authors: Cui Pengfei , Guan Shengli , Guo Jianbao , Wang Guangwu , Wang Haijun , Chen Jianye , Huang Kefeng , Geng Man , Yang Weiwong , Deng Longlong
Published: March 2020

According to the electrical structure design of the converter valve, the stray current scattered in the water path of the converter valve tower is coupled in the internal waterway of the aluminum radiator. It promotes the occurrence of corrosion on the inner surface of the waterway. However, due to the wide range of stray current in the valve tower distribution pipe, many factors affecting the properties of fluid and the actual engineering not allowed to be measured, and so on. For a long time, the corrosion of converter valve radiator has always been an urgent technical problem to be solved in the field of DC transmission. It has received extensive attention in various research institutions around the world. In this paper, according to the distribution pipe of 500kV light-triggered converter valve tower, the structure model and equivalent circuit model of the water path are built and the mechanism of stray current corrosion of aluminum radiator is analyzed. At the same time, the circuit simulation software is used, and according to Faraday’s law, the stray current, corrosion rate and annual corrosion rate of aluminum radiator in distribution pipe were calculated quantitatively. According to the numerical calculation results, the corrosion of aluminum radiator is compared with that of actual engineering aluminum radiator, the primary and secondary relationship of stray current corrosion in aluminum radiator corrosion is put forward, which provides the basis and reference for system optimization and engineering transformation.
Research on Calibration System of Low Frequency Electric Field Measuring Instrument
Authors: Zuo Jiansheng , Zheng Xiaonan
Published: March 2020

In order to calibrate various types of low frequency electric field measuring instruments, this paper constructs a calibration system by using the voltage amplifier. This system uses a function signal generator to output voltage signal, which is amplified by a voltage amplifier and loaded onto the plate to generate an electric field. The intensity of electric field is achieved by adjusting the distance between the two electric plates and the output multiple of the amplifier. The electric field generated by the system ranges from 30Hz to 100kHz in frequency and the field intensity ranges from 1V/m to 3kV/m. The system established in this paper is easy to operate and use, which greatly reduces the difficulty of generating continuous low-frequency electric fields in conventional calibration systems. The experimental results show that the feasibility, stability and reliability of the proposed system are superior to the traditional high-voltage source and TEM (Transverse Electric and Magnetic Field) chamber method.
Traffic Prediction Model Based on Improved Quantum Particle Swarm Algorithm in Wireless Network
Authors: Yu Yao , Liu Shumei , Wang Linlin , Teng Fei , Li Shuang
Published: March 2020

With the rapid development of data transmission, how to achieve fast and accurate prediction of wireless network traffic is an important issue to data collection. In this paper, we propose a traffic prediction model, namely improved quantum particle swarm optimization based on BP neural network. We adopt BP neural network as the basic architecture. On this basis, wavelet multi-resolution analysis technology is introduced as the pre-processing method for prediction model input. Aiming at the shortcomings of slow convergence and easy falling into local optimum of BP neural network, the improved quantum particle swarm algorithm is used to optimize it. Simulation experiments show that compared with the traditional algorithms, the proposed model has higher prediction accuracy and faster convergence rate.
FPGA virtual platform based on systemc and verilog
Authors: Song Chunwei , Wu Xianghu , Tao Yongchao
Published: March 2020

With the development of science and technology, FPGA is widely used in many fields of society, such as communication, algorithm implementation, and embedded field, with its flexible programming, high-performance parallel computing capabilities, and short development cycles.There are already many types of FPGA hardware products on the market, but the tedious problems of the hardware system itself and the cost problems of the hardware system bring a lot of inconvenience to users’ learning, which is inconvenient for users to learn, develop, and debug FPGA jobs.This article is based on such a problem. From the software level, a scheme for implementing an FPGA virtual platform based on systemc and verilog is proposed.This solution uses software to simulate the implementation of FPGA hardware, TCP communication technology, systemc and verilog applications to meet the needs of users to learn, develop and debug fpga without a hardware platform.
The Detection Algorithm of Broken Wires in Power Lines Based on Grabcut Segmentation
Authors: Guo Jiayi , Guo Xuelin , Wang Limin
Published: March 2020

Unmanned aerial vehicle (uav) has the advantage of rapid and efficient in power line fault detection. However, the background of power line image taken by uav is complex, and it is difficult to extract the foreground power line for fault detection.Aiming at this problem, we propose an algorithm based on Meanshift superpixel segmentation and Grabcut for further segmentation optimization. At the same time, the RANSAC algorithm is used for denoising to extract accurate power lines. Finally, the power lines are constrained based on their slender characteristics. Compare the width change on the same wire to detect the occurrence of strand breakage in the power line. The experimental results show that the algorithm has a good effect on the detection of broken strands in power lines.
Automatic Segmentation of Microaneurysm in Retinal Fundus Images
Authors: Zhang Guodong , Suraweera HasinduMaduranga , Pratama AdevianFairuz , Zhao Dazhe , Gong Zhaoxuan , Guo Wei
Published: March 2020

Diabetes interferes with the body’s ability to use and store sugar (glucose), which it can cause damage throughout the body. Generally, Microaneurysm (MA) is the first clinically observable lesions in the Diabetic Retinopathy (DR). Since interference of biological objects in eye fundus images are similar to MA, locate Microaneurysm lesions precisely is a challenging task for researches. This research employs U-Net Convolutional Neural Network to model saliency of objects in images, global and local context are both taken into account to provide a better initialization for the process. Feature extraction techniques are applied first to assign a local saliency value to each pixel by considering its local context from fundus images such as ORB, SURF, and MSER. The extracted feature vectors are applied for training the network. The sum of the weighted salient object regions produce the final saliency map, then implements U-Net to segment MA lesions.Our experiment has carried out using the publicly available Indian Diabetic Retinopathy Image Dataset (IDRiD), which has used in "Diabetic Retinopathy: Segmentation and Grading Challenge" workshop and our proposed method has given an outstanding accuracy of 98.78 %.
An Improved Random Forest Model Applied to Point Cloud Classification
Authors: Xue Doudou , Cheng Yinglei , Shi Xiaosong , Fei Yan , Wen Pei
Published: March 2020

Urban laser radar point cloud building extraction is a hot spot in recent years, but the accurate distinction between vegetation, buildings and man-made objects has always been a difficult point. In this paper, a point cloud classification algorithm based on ICSF and weakly correlated random forest are proposed for the problem of low classification accuracy. Firstly, the data is ground-filtered by ICSF algorithm, then the decision tree is constructed, and correlation analysis is performed based on the maximum mutual information coefficient. A decision tree with the smallest correlation coefficient and the highest precision is selected to form a random forest. Finally, the decision results are weighted and completed. Point cloud classification. This paper validates the model through the Vaihingen city dataset and ranks the importance of the features according to the method of reducing the average precision. Compared with the traditional random forest classification algorithm, the classification accuracy is improved by 4.2%, which shortens the model time.
Atmospheric Pollutant Prediction Based on Wavelet Decomposition and Long Short-Term Memory Network
Authors: Li Lei , He Zhexiang
Published: March 2020

To solve the problem that current atmospheric pollutant prediction research only pays attention to one pollutant type, a Long Short-term Memory Network (LSTM) atmospheric pollutant prediction model based on Wavelet Decomposition (WD) is proposed, predicting daily average PM2.5, PM10, SO2, NO2 and O3 concentration for the next day. Based on data collected from the national control station (NO.1338A) in Changsha from 2015 to 2018, the model was verified. The results show that for the prediction of atmospheric pollutants, compared with the LSTM prediction model established directly with the original atmospheric pollutants, the root mean square error and the absolute average error of the hybrid model are lower, and the accuracy of the level prediction is higher.
A review of military knowledge models
Authors: Wang Hongyu , Yang Zhaohong , Zhou Yuwei
Published: March 2020

In the process of operation command, the commanders often face a mass of battlefield information information, which mixed with many useless or even false information, This will seriously affect the commander’s timely decision-making, and would not meet the requirements of "agile command" for future operations, By constructing military knowledge model, the fault problem of command information system can be eliminated,and finally, the commander will change from "information" to "knowledge".This paper introduces the main contents and related technologies of military knowledge model, and summarizes the development and challenges of military knowledge model.
End-to-End Image Super-Resolution via Generative Adversarial Network
Authors: Li Xu , You Xiangdong
Published: March 2020

Image super-resolution is to extract information from single or more low- resolution images and use this information to get the corresponding high-resolution image. The ability to capture high texture details of low-resolution images is one of the impressive advantages of generative adversarial networks (GANs). This paper mainly studies the image reconstruction method based on a single low-resolution image, and builds an end-to-end image Super-Resolution method via generative adversarial networks to improve the image resolution. Convolution neural networks use the mean square error (MSE) as loss function. For such loss function, structural similarity (SSIM) and peak signal to noise ratio (PSNR) can be obtained, but high texture details of original images are often lost. The generative adversarial network mainly contains two parts: generator network and discriminator network. Adversarial loss uses a discriminator network to push our solution to a natural image manifold, which is trained to distinguish super-resolution images from photo-realistic images. Additionally, content loss of our network was indicated by perceptual similarity rather than similarity of pixel-wised space.
Detecting Bank False Account Based on Naive Bayesian Network
Authors: Wan Weiqing , Zeng Qingyan , Wen Zhicheng
Published: March 2020

With the development of Internet, more and more fraudulent cases are committed on the basis of bank false accounts, but the means and ability of bank to verify the true identity of customers are limited. Generally, a bank online verification system can only check the authenticity of identity cards through inquiry, while the verification of people and cards can only be completed manually by Bank tellers, but only by the counter. Personnel’s naked eye judgment is prone to potential risks. Aiming at the problem of fraud of bank customer identity, this paper proposes a method of automatic detecting bank account fraud using Naive Bayesian Network classification model, and verifies the feasibility of this method through specific examples.
Chestnuts quality online detection technology based on acoustics
Authors: He Wenbin , Wei Aiyun , Ming Wuyi , Jia Haojie , Chen Zhijun , Wu Ziqiang
Published: March 2020

In order to overcome the influence of various uncertain factors on the quality of chestnuts in the process of manual detection, an online detection method based on acoustics was proposed. In this paper, a multilevel inspection platform for chestnut surface defects based on acoustics is constructed to realize real-time acquisition and measurement of chestnut surface defects. Through acoustic detection, the sound collected from the feature area is converted into a time-frequency map, and image processing was performed using matlab software. At the same time, in the return air detection, the chestnuts with wormholes will produce a return air, which was used as the secondary detection of the chestnuts. This study provides a useful reference for chestnuts quality testing and improves the objectivity and accuracy of chestnuts quality testing.
Construction of Robotic Virtual Laboratory System Based on Unity3D
Authors: Lin Mu , San Lijun , Ding Yu
Published: March 2020

Paper introduces the virtual reality laboratory system based on virtual reality technology. Using the Unity3D engine, the robotic arm is used as the research object to develop the virtual simulation teaching system. The system is released on the PC side and applied to the teaching and training of the mechanical arm structure. Establish a virtual laboratory to realize the first person perspective roaming, on-the-spot observation robot arm structure, assembly virtual interaction simulation, intelligent automatic assembly simulation, solve complex mechanical structure cognitive teaching and assembly planning problems. The application of powerful virtual reality technology to engineering technology teaching has improved the teaching effect and teaching efficiency of mechanical structure cognition, structural assembly training, curriculum design and other teaching links.
A File cloud sharing method based on XOR operation
Authors: He Yue , Xia Gao , He Chengwan
Published: March 2020

To realize the secure storage and sharing of files, a file cloud storage method based on XOR (Exclusive OR) operation is proposed. In this method, a file is encrypted into multiple file slices based on XOR operation, then these file slices are uploaded to different locations of the public cloud platform. These file slices can be downloaded from the cloud platform and restored to the original data file based on XOR operation. In this way, even if a file slice is stolen, the information of the file will not be stolen. This paper gives the XOR-based encryption and restoration algorithms for the two cases where the original data file is not divided or divided into arbitrary secrets. Finally, we give the implementation method of the prototype.
An adaptive RBF hidden layer generation algorithm
Authors: Chen Haibo , Zhang Chenyu , Hu Gao
Published: March 2020

We presents an adaptive learning algorithm of RBF neural network. This algorithm uses an adaptive splitting operation based on network sensitivity and sample density to dynamically change the number of nodes in the hidden layer of RBF network. At the same time, a refactoring operation based on energy consumption is proposed, and the connection weights of the hidden layer and the output layer are obtained by using the least square method. In the experiment of iris sample classification, the recognition rate of the model is 95%.
Logic Computing in Memristor-based neural networks
Authors: Bu Kai , Liu Haijun , Wang Wei
Published: March 2020

This paper presents a neural network based on a memristor crossbar to realize linearly separable logic functions with a single-layer perceptron in just one step, while realizing linearly nonseparable functions with multilayer neural network in multiple steps, such as addition operation and XOR logic. We could implement different logic functions in the same crossbar and circuit by adjusting the resistance of the memristor. It’s conveniently changed by analog tuning of the applied voltages. As the neural networks are capable of tolerating the random diversity effects of device variations and noises to some degree, the proposed method can tolerate the variations of crossbar arrays. We also built a verification platform with Xilinx FPGA, Analog-Digital converters, and a 32x32 memristor crossbar array to show how the logic function works.
The Algorithm of Scene Summary synthesis Based on Semantics
Authors: Zhu Yaling , Wei Xiaodi , Li Xiangwei , Zheng Gang , Wang Juan
Published: March 2020

According to the key technique of semantic-based video retrieval, the paper presents directly extracting I-frames in the compressed domain, and using the DC coefficient of I frame to establish the model of information system. Then the reduction of I Frame by the theory of attribute reduction based on RS, to produce A key frame that reflects the main content of the lens. Finally, the key frames ‘s DC coefficient has constructed the mathematical modeling, and has classified the shot according to the differences of frames. So the polymerization of I frames of similar lens, we could obtain the scenario summary.
ECG diagnosis based on one-dimensional convolutional neural network
Authors: Mei Qianwen , Liu Tangyou
Published: March 2020

At present, cardiovascular disease has become the "first killer" endangering human life and health. Arrhythmia is one of the common diseases and frequently-occurring diseases. It is one of the main causes of death, and it is often accompanied by many complications. It can cause serious heart disease or even death, so it is very important to find a timely diagnosis of arrhythmia [1]. This article is based on the ECG data which is obtained from long-term monitoring to perform classification diagnosis on the occasional irregular heartbeat. It can be summarized as a series of features extraction and automatic classification diagnosis after a series of preliminary processing of the obtained long-term ECG data. This method is based on one-dimensional convolutional neural network to classify the normal heart rhythm and five abnormal heart rhythms according to the single lead data.
Impact of digital technology and internet to film industry
Authors: Fang Jingxuan , Xiong Wei
Published: March 2020

With computer technology development, film production changes a lot. The film new technical revolution has been brought because of the digital technology application. The film art development also has been injected new vitality. The film industry is restructured and developed with huge room because of integration of internet and film industry. The combination of internet and technology can play an important part in relevant industry.
Research on Factors Affecting Campus Bullying Based on Factor Analysis Model
Authors: Ruan Dexiang , Hu Baokun
Published: March 2020

School bullying has frequently appeared in major primary and secondary schools and even universities. It has become a topic of great concern to all sectors of society. Campus safety issues have greatly affected the physical and mental health of young people, and even have an indelible shadow on their future. The rapid development of technology has provided a powerful help for studying the factors affecting contemporary students’ school bullying. This paper uses the factor analysis model to compare the dominant factors affecting school bullying from the horizontal aspect, which can provide reference for parents and schools to judge potential campus bullying, and has positive significance for preventing and controlling campus bullying.