bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Ceramic Sanitary Ware Defect Detection Method Based on Improved VGG Network
Authors: Teng Bowen , Zhao Hongjian , Jia Pei , Yuan Junfeng , Tian Chenghua
Published: October 2020

The defect detection of ceramic sanitary ware is often done manually, which is inefficient and unhealthy. The development of deep learning technology makes a non-contact and high-efficient method of inspection possible. In this paper, based on VGG-16 network, we proposed an optimized method for ceramic sanitary ware defect detection. We carried out pre-processing to denoise and enhance the original image data, improved activation function of MReLU, and used transfer learning method to train the model. The results of the test on the ceramic sanitary ware defection data set showed that the accuracy can reach 97.48%, which is 6.46% higher than that of the model using the ReLU activation function. The detection speed can reach 7 fps, which could meet the requirements of industrial online real-time production.
Research on Detection and Fault Diagnosis Technology of Electric Vehicle Charging Facilities
Authors: Yong Xiao , Ji Wang
Published: October 2020

This paper uses waveform analysis method and data flow analysis method to study fault diagnosis and elimination. Based on the experimental results, the data flow analysis method and waveform analysis method of the vehicle were analyzed in depth. Apply fault diagnosis to find a fast fault diagnosis scheme to determine the hidden dangers of charging pile failure. The advantages and disadvantages of various fault diagnosis methods in maintenance practice are obtained.
Design of Nanosecond Pulse Driver Circuit
Authors: Miao Weitong , Huang Jun , Chen Haitao
Published: October 2020

The laser can achieve high peak power pulse output by electro-optic Q-switch technology. Aiming at the problem of how to achieve Q-switch output with ns level front and kV level amplitude on 100kΩ large load, a method of pulse output by using avalanche conduction state of triode is proposed. By using the 11 stages pulse forming circuit, the DC power supply voltage can be greatly reduced, and the selected devices can work normally under the condition of meeting the first stage derating standard, in order to improve the stability. The key factors affecting the parameters of the output pulse, such as amplitude, pulse width, frequency, leading edge and trailing edge, are analyzed and verified by experiments. Using +150V DC power supply, the experimental results show that the pulse driving source circuit designed in this paper can output a half height width of 12.6ns and an amplitude of 1500V Q-switch regulating signal on a 100kΩ load.
Experimental Study on Acoustic Properties of Foam Ceramics
Authors: Chen Wei , Zhao Xuelei , Hu Sheng , Wu Xiaowen , Lu Ling , Zhou Weihua
Published: October 2020

Foam ceramics have excellent properties such as high porosity, high temperature resistance, chemical corrosion resistance and good thermal stability, and are widely used as metal liquid filter, high temperature gas and ion exchange filter, catalyst carrier, environmental material, heat insulation material, sound absorption material, biological material and so on. In this paper, the preparation technology of porous ceramic materials is investigated firstly. Then the foam ceramic samples with different porosity of Al2O3 and SiC materials were manufactured, and their acoustic properties were tested, and the influence of material and porosity on sound absorption performance was analyzed.
Research of Containment Pressure and Temperature Response
Authors: Wang Xiaoxiao , Zhang Xiaohui , Qiao Lei , Gong Daxin , Wang Jue , Liu Le , Song Jie , Zhao Jing
Published: October 2020

In the paper, the pressure and temperature response of the containment with free volume 1400m3 and 2000 m3 is analyzed based on the mass and energy release for postulated loss of coolant accident (LOCA). And the relation between containment free volume and containment pressure also is analyzed. The results of calculation have certain guiding significance for the determination of the pressurized water reactor (PWR) volume.
RBF Network Adaptive Control of SCARA Robot Based on Fuzzy Compensation
Authors: Xie Bing , Qi Yuming , Su Weihua
Published: October 2020

Facing the requirements of high-precision control of SCARA robot systems in assembly and handling, RBF network adaptive control method based on fuzzy compensated SCARA robots is proposed. First, a SCARA robot dynamics model is established and theoretically analyzed based on Newton’s Euler equations. Second, the RBF network is used to approximate the ideal nominal model. Then, the fuzzy compensator is used to modify the friction, disturbance, load of the system and other external factors to compensate; finally, MATLAB/Simulink software was used to simulate the effect of SCARA robot system with and without fuzzy compensator. Experimental research shows that the control accuracy of SCARA robot joints with fuzzy compensators has been improved by 43.42%, 67.47% and 65.41%, respectively. The research results can provide some guidance for the precise assembly and handling of SCARA robots in production.
Research on Industrial Control Network Security Data Acquisition System
Authors: Xia Qiucheng , Wu Peng
Published: October 2020

In this paper, based on the characteristics of industrial control network security data, research data analysis and data storage technology, design and development of industrial control network security data acquisition system, and through the AFL fuzz method for fuzzy testing, improve the system’s robustness and endogenous security performance. The realization of massive heterogeneous data collection and efficient normalization of industrial control networks can better serve the data layer and promote the rapid development of digitalization of industrial enterprises.
A Novel Approach to Coral Fish Detection And Classification in Underwater Footage Based on Convolutional Neural Network
Authors: Sun Zhijian
Published: October 2020

Tracking and identifying fish species is crucial to understanding marine ecosystem and its role in the world. In this paper, a cost-effective coral fish detection and identification method is proposed. Using the up-to-date models of Convolutional Neural Network (CNN), this paper is able to analyze an underwater footage and highlight all the detectable fish in color frames, and then identifying the species name among the detectable fish. Fish object detection was employed using Open Images Dataset and Tensorflow Object Detection. The paper further explores CNN with squeeze and excitation for fish classification. The proposed model was evaluated on fish4-knowledge dataset and achieved 100% validation accuracy after 50 epochs, better than AlexNet and RetNet, indicating that the solution is robust and practical. In addition, a dataset for coral fish classification in specific location was built using different sources. The model achieved 100% validation accuracy on the proposed dataset.
BAS Intelligent Recommendation Model for Optimum Proportion of Pellets
Authors: Zhu Yinghao , Wang Fengchuan , Duan Ziqing , Shi Kuanlong , Peng Yangyang
Published: October 2020

Combined with the advantages of GRNN in non-linear fitting and flexible network structure, the prediction model of pellet compressive strength is established, the ratio of raw materials (Ca, Si, Mg) is determined, and the important parameters (aged particles) that characterize the particle quality in the particle production process are also determined. Based on the prediction model of compressive strength and the search algorithm of beetle antenna, the intelligent recommendation model of pellet loading proportion optimization is established. The results show that in the range of pellet loading variation not more than 20%, the best charging scheme recommended by intelligent can increase the compressive strength of cooked ball by more than 16% on average, the system runs stably, and the simulation results are effective. Bas intelligent recommendation model significantly improved the average daily compressive strength of cooked balls in the same period of last year.
Operation Decision Model of Wind-Photovoltaic-Storage Hybrid Power System in the Day Ahead Market
Authors: Qi Wannian , Li Jingli , Wei Peng , Xu Jin , Xu Xuefeng
Published: October 2020

In this paper, considering the uncertainty of electricity price and the uncertainty of wind power generation and photovoltaic power generation in the day ahead electricity market, a bidding decision-making model of wind solar energy storage complementary power system composed of wind turbine, photovoltaic generator set and energy storage system is constructed by using two-stage stochastic programming method, so as to maximize the interests of system operators. Finally, the rationality of the model is proved by an example.
Cost allocation model of power pipeline access corridor based on group decision and spatial proportion method
Authors: Li Lingyun , Guo Xinju , Li Dapeng , Li Xuayng , Zhou Tiejun
Published: October 2020

With the continuous acceleration of the urbanization process, more and more cities begin to lay down utility tunnels utility tunnels that can effectively improve the utilization efficiency of urban space. Based on this, this paper firstly studies the construction cost composition and operation and maintenance cost composition of the utility tunnels, and then, considering all stakeholders involved in the electrical cables into utility tunnels, establishes the allocation model of the electrical cables into utility tunnels cost based on the group decision model and the spatial proportion method. Finally, some sections of Qingdao utility tunnels are selected as examples for verification. The results show that the model has strong practicability and can effectively solve the problem of cost allocation of electrical cables into utility tunnels.
RETRACTED: An Improved maintenance method for marine electrical equipment based on the Internet of Things
Authors: Tian Rongming
Published: October 2020

Due to the influence of high temperature and high humidity, the failure rate of marine electrical equipment is higher than that in other situations. The stability of the electrical equipment of ships is of vital importance to the safety of navigation. Traditional electrical maintenance methods have the problem of lagging in response to equipment fault detection and feedback, which is caused by the signal transmission mode. This article applies the Internet of Things technology to the maintenance of marine electrical equipment, which can improve the performance of the maintenance method. Firstly, the fault detect program architecture is adjusted and optimized. The fault sensing modules are placed in the electrical equipment. The traditional electrical signal transmission mode is replaced by the network transmission mode. Then, the fault signal anti-jamming algorithm is used to optimize the compensation calculation of the alarm signal of the electrical equipment fault point to achieve the effect of enhancing the signal sensitivity; finally, the fault detection sensitivity of the proposed method is tested through experiments, and the data shows that the design method is better than the traditional maintenance method.
Design and optimization of distributed cloud storage in marine IoT
Authors: Tian Rongming
Published: October 2020

The traditional cloud storage technology has the defect of little consolidation of actual storage files, due to lack of storage strategy. This paper designs and optimizes the distributed cloud storage technology in the marine IoT. Firstly, we use distributed computing to calculate the node data in the Internet of Things. Then we build a cloud storage framework based on the characteristics of the Internet of Things nodes. Then establish a direct mapping between files and storage strategies in the Internet of Things. Finally, according to the calculated node performance data, a cloud storage strategy is formulated to complete the research on the distributed cloud storage technology in the marine Internet of Things. The experimental results prove that, compared with the traditional cloud storage technology, the distributed cloud storage technology in the marine Internet of Things can finally merge more files when storing files, reducing the storage amount occupied by actual files. It is suitable for practical use.
The Simulation Analysis on the Transient Process of Transformer
Authors: Zhang Peng , Wang Yue , Lan Sen , Zhang Hongda , Zhang Dewen , Liang Jianquan
Published: October 2020

Power transformer is one of the important equipment in the power grid, we must ensure its reliable operation. To achieve that goal, the insulation property of power transformer must be fine, for its breakdown mainly caused by the insulation damage. When the power transformer suffered from the lightning surges, the windings insulation is damaged easily, so we should optimize and design on the power transformers windings insulation structure. Firstly, the computational methods of the inductance, capacitance and the resistance parameter were introduced in this paper, then the inductance, capacitance and the resistance parameters of a SFP-180000/220 three-phase transformer were calculated. Based on the equivalent circuit of transformer, the circuit model in the Matlab was established and simulated when the neutral is grounded or insulated respectively. The relevant initial potential distribution, the oscillating potential distribution, and the final potential distribution were gotten by the simulation. Finally, the characteristics of each potential distribution were analysed, which could provide some references to the insulation structure design for transformers.
Multi-Agent Planning in Heterogeneous Networks
Authors: Wang Zhuli
Published: October 2020

We explore a heterogeneous wireless sensor network (WSN) where densely deployed sensors and Unmanned Aerial Vehicles (UAVs) are cooperated with each other to finish a challenging coverage task. The main goal of this paper is to find the optimal node deployment to minimize the total communication power, which dominates the energy consumption in WSNs. The necessary conditions are derived for the optimal node deployment in this heterogeneous WSNs. By theoretical analysis, UAVs are either all active or inactive. Based on the necessary conditions, we propose a Lloyd-like algorithm, Heterogeneous Lloyd (HL) Algorithm, to obtain the optimal node deployment. The proposed algorithms simulation results show that our algorithm saves more energy than random deployment.
An Accurate Detection System Based on the Convolutional Neural Network
Authors: Kong Xiangli
Published: October 2020

The purpose of this project is trying to detect tumors by computer based on deep learning techniques when a picture of a tumor is shown. In this research, a fast and accurate colon cancer detection is proposed, which means this research can dramatically increase the speed of diagnosis and can also improve the accuracy of confirming a diagnosis. During the experiment, a Convolutional Neural Network (CNN) structure akin to that of VGG Net and ResNet was built. A GPU computer with two 2080 Ti GPUs was used for training. The result of training produced 94% accuracy with a loss lower than 10%. Respectively, this result improved over 10% of accuracy compared to the detection by human eyes. Lastly, this program can be used by any computer to predict the tumor, which allows it transits to a practical tool in the future.
LFN: Based on the Convolutional Neural Network of Gait Recognition Method
Authors: Zhu Xiaopeng , Yun Lijun , Cheng Feiyan , Zhang Chunjie
Published: October 2020

In this paper, a novel method based on convolutional neural network (CNN) to address gait recognition was proposed. Gait is a unique biologic feature that the feature almost cannot be altered. Existing gait recognition virtually based on a traditional method such as Gait Energy Image (GEI). GEI has various gait silhouette sequence images and put this image together. Meanwhile, those images must in the same gait period, which lacks of flexibility. To address this issue, a different gait recognition model, called LFN, based on a convolution neural network (CNN) was proposed. The model is composed of three convolution layers in parallel. It can be trained in an end-to-end manner and each sample gait silhouette in the uniform gait period does not to be required. Our working base on the OU-ISIR large population gait dataset. Being based on the result of the experiments, our network can learn the significant features of each sample gait silhouette sequence effectively, at the same time, our model can achieve high and stable accuracy in three experiments.
Simulation and Analysis on Flow Field of Ball Valve Based on Fluent Software
Authors: Sun Xuefeng , Zhao Zhe
Published: October 2020

In this paper, ANSYS Fluent is used to simulate the three-dimensional flow of the ball valve under different pressure conditions. The flow field torque, speed and pressure distribution are obtained. By normalizing the mass flow and torque, a relationship formula between the flow coefficient and torque that varies with the opening degree is constructed. The problem that it is difficult to obtain the flow coefficient and torque coefficient of the ball valve is solved. The results show that the data after the normalization process basically coincide, indicating that the results have a high degree of confidence.
Temperature field analysis and calculation of augmented capacity conductor
Authors: Wang Weiyuan , Zhang Ruiyong , Zhao Xinyu
Published: October 2020

Augmented capacity conductors (ACC) are emerged with the increase of electricity demand and the improvement of materials science and technology. Transient current-carrying capability (CCC) of ACC has an important effect on the reliability service of the power grid, and it has a closely relationship with the temperature distribution of the ACC, while few academic are conducting. In view of this problem, the fine calculation of the temperature field of the ACC by the Finite element analysis is conducted, aiming to analysis the temperature distribution of ACC and increase the reliability service of the power grid. In this paper, based on the calculation of heat source and thermal convection coefficient of ACC, the thermal model of one type of the ACC is established, and the calculation results are verified by the experiment.
Research on the application of personalized teaching mode based on big data in Computer teaching
Authors: Cai Mengmeng , Zhang Weiwei , Chen Xiao , Sun Yanan , Wang Honglin
Published: October 2020

In order to improve the efficiency of teaching and learning, it has become an inevitable trend to explore a new teaching mode based on the analysis technology of big data in view of the disadvantages of learners’ passive acceptance of knowledge under the traditional teaching mode. For mining online learning behavior, In order to learn the optimal strategy behavior better, a new strategy based on reinforcement learning is proposed based on focused crawler. Using Bayesian classifier, hyperlinks are classified according to the whole web page text and link text, and the importance of each link is calculated, so as to determine the access order of links. Targeted mining of learner interests to predict learner preferences and make personalized guided recommendations. Through the analysis results show that, in the same experiment platform, enhance learning algorithm to get the optimal strategy for online learning behavior training, so that teaching staff can quickly and efficiently make the decision of teaching content recommendation to learners based on learning platform.
Environmental Adaptive Urban Traffic Signal Control Based on Reinforcement Learning Algorithm
Authors: Feng Yanming , Wu Yongrong
Published: October 2020

Urban traffic signal control is an important part of the construction of intelligent regional traffic. Aiming at the problem of the optimal control strategy in urban traffic signals, this paper proposes environmental adaptive urban traffic signal control based on reinforcement learning algorithms. Through the continuous perception of the traffic environment, the position and speed of the vehicles in different environments are expressed in a matrix, and the parameters are continuously iteratively optimized through the reinforcement learning method to optimize the objective function (the vehicle that can pass the most in a limited time) to achieve the purpose of effective vehicle control. According to the traffic simulation software Vissim, it can be known that the algorithm proposed in this paper performs better in terms of average waiting queue length and global average speed compared with other algorithms, and the deep learning algorithm is significantly better than other algorithms in terms of stability. The average speed of the deep learning algorithm is increased by 9% compared with the baseline, and the average waiting queue length is reduced by 13.4% compared with the baseline. The experiments studied this time are sufficient to prove that the algorithm in this paper can adapt to the dynamically changing and complex urban traffic environment and has great research value.
Research on Security Protection Countermeasures of Internet of Things
Authors: Tang Bin , Yang Mengqi
Published: October 2020

This paper introduces some countermeasures of Internet of Things security protection in three parts. The first part introduces the common security countermeasures, the second part introduces a security structure model of the Internet of things, and the third part introduces the protection measures of Internet of things using IPv6 protocol.
Some Thoughts on the Design for At-grade Intersections of Urban Road
Authors: Feng Huilin , Feng Huiqing
Published: October 2020

Road intersections, as nodes in the road network, are the key to improving operational efficiency. Extensive practice has shown that a reasonable design of the intersection scheme will help to release the road capacity and improve the smoothness of traffic for various participants including motor vehicles and slow traffic. This paper, based on relevant domestic and foreign codes and other achievements, has put forward some thoughts on the design principles, design ideas and follow-up development of intersection engineering, aiming to provide a certain reference for relevant management, analysis and design work. Urban roads are the lifeblood of urban economic life and one of the important signs of development of urbanization. In the process that urban municipal roads are continuously being built into a network and road traffic demand is continuously being tapped and released, the “throat” effect of at-grade intersections of the road is constantly emerging. At the at-grade intersections, under the background of low traffic speed and a large number of people flows and vehicle flows interweaving at the intersection, designing a scientific and reasonable traffic organization scheme for intersections will help to improve the efficiency of the intersection and even the road section. However, the change in the design space brought about by the property line planning concepts such as “narrow roads, dense road networks” and “street all-factor planning and design”, as well as the trend of increasing complexity of urban underground pipelines and underground facilities, have put forward new requirements for the design of road intersections. But at the same time, for some intersection schemes designed according to the new design concept, due to the lack of a clear basis for examination and approval, there is a space for discussion. In view of this, it is necessary to think about and sort out the planning and design process of at-grade intersections, and on the basis of fully examining the three stages of planning design, engineering design and management control design, to put forward suggestions on planning design in the new era and new situation. The author is mainly engaged in the stage of engineering design, so this paper will put forward some thoughts on the at-grade intersection design from the perspective of engineering design and management control design.
Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT
Authors: Wang Yongchao , Cai Dongdong , Nian Yugui
Published: October 2020

As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.
An Improved Method of Evidence Theory Based on Membership Function
Authors: Xu Lixing , Liu Zhi , Gong Bin , Deng Yang
Published: October 2020

Aimed at the two major problems of the basic probability assignment and conflict management in classical evidence theory, a basic probability assignment(BPA) based on membership function is proposed to alleviate the dilemma caused by the above two problems, and an example is given to show the effectiveness of this method.
Vehicle tracking based on Adaboost cascade classifier
Authors: Long Xu , Ming Hu , Tao Tao
Published: October 2020

Driving safety and unobstructed travel have always been the common pursuit of drivers. In the actual environment, traffic elements are complex and changeable, and a large number of dynamic and uncertain factors bring great challenges to the driving behavior decision of smart vehicles. Machine vision because of its the advantages of wide detection range and complete road information are widely used inIn this paper, we take the road environment as the main research object and carry out research on target detection and tracking in smart vehicles. First, we propose a vehicle detection method based on multi-class feature fusion, which combines the SVM classifier. The method can effectively improve the accuracy of vehicle recognition. Then a vehicle detection method based on the Adaboost cascade classifier algorithm is proposed, and the experimental verification of the accuracy and robustness of the vehicle detection algorithm in different road scenarios is completed. Based on the principles and ideas of Kalman filtering, vehicle tracking is realized on the basis of vehicle detection, and the effect of vehicle tracking algorithm based on Klaman filtering is verified under different road scenarios.
Inverse kinematics solution and motion simulation of seven-degree-of-freedom ascending platform based on neural network
Authors: Wu Jingyuan , Ren Xiangyi
Published: October 2020

A pseudoinverse-based inverse kinetic solving scheme for 7-degree-of-freedom redundant aerial platform robotic arm, the scheme combines Minimum Velocity Norm scheme and damped least-square method, a close-loop damped minimum velocity norm scheme is set up which allows to avoid the joints’ limitation and to ensure the solution’s stability near the singularity position. Further, a genetic algorithm optimized BP neural network is built. Genetic algorithm can improve the training efficiency and avoid trapping in local optimal solution. The application of neural network can ensure the real-time of solution.
An Optimized Design Method of PSWFs Pulse Group Based on DFT Precoding
Authors: Yang Dawei , Liu Chuanhui , Zhang Lei
Published: October 2020

Aiming at the problems of non-sinusoidal time-domain multiple quadrature modulation signals based on Prolate Spheroidal Wave Functions (PSWFs), as the number of pulses increases, the bandwidth efficiency of the modulation signal frequency band decreases, the Peak-to-Average Power Ratio (PAPR) and the implementation complexity are high, a method for optimal design of PSWFs pulse groups based on DFT precoding is proposed. The PSWFs pulse signal frequency domain generation method is adopted. By introducing the precoding matrix, the multi-channel PSWFs pulse group signals are optimized and designed, and then the input data is redistributed to obtain new PSWFs pulse group signals. Experimental results show that this method can further improve the power efficiency of the modulated signal and effectively reduce the peak-to-average power ratio of the modulated signal without changing the orthogonality of the original PSWFs subcarriers. As the number of carriers increases, the suppression effect on the peak-to-average power ratio becomes more obvious.
Analysis of Drug Use based on Grey Prediction Model
Authors: Chen Yingai , Zhao Yanyan , Chen Jinhan
Published: October 2020

The morbidity and mortality related to the use of opioids have not decreased significantly. At present, the main measure to solve the crisis of opioids is to prevent the use of recreational drugs. However, addiction to medical drugs is also an important cause of the crisis. In this paper, the related prediction and analysis of these drug use problems are carried out. In view of the many socio-economic factors provided, First of all, MATLAB is adopted for grey relational analysis. Through the ranking of socio-economic factors and the total number of drug reports, the ten factors with the highest correlation degree are obtained. And then we’re sifting through all of these socio-economic factors to determine the nine most numerous factors. Finally, the prediction results of the model are given.
Analysis and Simulation of the Impact of Inertial Force on the Impact Point of Missile Weapons
Authors: Zhao Xin , Wang Shunhong , Dai Chenchao
Published: October 2020

In order to explore the impact of inertial force on missile impact point, the law of the missile impact point error with missile range, aiming azimuth and launch point latitude under the influence of inertial force is analyzed. In this paper, based on the basic principles of missile ballistics and theoretical mechanics, the trajectory and the distribution of impact point under the influence of inertial force are simulated and analyzed. The results show that the impact point error affected by inertial force is positive correlation to the range of missile when the aiming azimuth is fixed. In the case of a certain range, with the change of the aiming azimuth, the impact point error will also change according to a certain rule. When the range and aiming azimuth are fixed, the impact point error decreases with the increase of latitude.
Research and analysis of least square method identification of children’s movement based on running and mountain climbing
Authors: Zhao Huoping , Wang Dong , Li Dahu , Sun Kang , Zhang Wanjun , Gou Xiaoping
Published: October 2020

In view of the difference of safe heart rate during exercise and fitness, this paper studies the suitable heart rate of children running and climbing in different physique, so as to provide scientific and effective exercise for children. In this paper, a least square method is proposed to identify children’s movement based on running and climbing. The least square method identification system of children’s movement based on running and mountain climbing is established. Finally, through the MATLAB simulation analysis, the results show that the discrete identification method is suitable for children’s safe heart rate and physical fitness, and the simulation results verify the feasibility and effectiveness of the least square identification method.
Design of vehicle management reader based on STM32
Authors: Ding Chenglong , Liu Zhifeng , Xu Yuefeng , Shu Zhihao
Published: October 2020

This paper mainly studies the parking lot counting system, which is a modern and new system integrating detection and conversion technology, computer technology, information processing, digital technology and other technologies. This work uses STM32F103 single-chip microcomputer as the MCU processor, and uses 2 infrared modules to detect vehicle access. Through the single-chip microcomputer, information is collected to detect vehicle access. LCD12864 is used to display vehicle parking information for drivers to watch.
Research on 3D modelling based on UAV tilt photogrammetry with KQCAM5 swing tilt camera
Authors: Chen Wei , Zhang Jian
Published: October 2020

With the continuous development of UAV and tilt camera, tilt photogrammetry technology has been well applied in various fields. However, there are some problems in the practical application of tilt photogrammetry technology, such as the position of tilt camera is always in a relatively fixed position, which is easy to miss out photos, etc. In this paper, a method of establishing a three-dimensional real scene model by using a swing five lens camera is proposed. It is proved that the 3D model established based on the KQCAM5 swing tilt camera contains abundant texture information, which reduces the hollowness and stretching deformation of the model. At the same time, the UAV tilt photogrammetry with swing tilt camera can reduce the extended range of the measuring area, thus reducing the number of photos taken and improving the overall efficiency.
Research on the characteristics of wave observation of wave glider
Authors: Qin Yufeng , Li Guofu , Qi Zhanfeng , Zhang Shuang , Qi Zhanhui
Published: October 2020

Wave glider is a new class of ocean mobile observation vehicle. It is a new applied research direction that using wave glider for wave observation. Currently, wave observation is usually performed at fixed points by using wave buoys, the research on using wave glider for navigational observations is still rare, and the characteristics of wave observation using wave glider is not yet mastered. The article Research on the characteristics of wave observation of wave glider, Based on the experimental results, analyze the differences and the correlations between wave glider and wave buoy in wave height, wave period, wave number and wave direction. Analyze the existence mechanism of the difference and propose the theoretical basis for eliminating the difference or correcting the observation data of wave glider. Based on experimental data and theoretical analysis, it is proved that the wave glider is feasible to observe wave. The average correlation coefficient between the observation data of wave glider and the observation data of wave buoy is above 0.9, the results prove that there is a strong correlation between wave glider and wave buoy.
Application of PCA-LSTM model in human behavior recognition
Authors: Qiao Mingmin , Li Haotian
Published: October 2020

For the problem that the recognition rate of human upper extremity movements is not high and existing models are prone to “dimensional disaster”, a pattern recognition algorithm based on PCA-LSTM neural network is studied. Collect and process the surface electromyography signal (sEMG) of the human upper limbs, and put it into the PCA model for data dimensionality reduction, put the dimensionality-reduced data into the LSTM neural network model to classify the human behavior, count the classification efficiency and recognition rate. Comparing PCA-LSTM with the traditional classification algorithm SVM and random forest, the calculation efficiency is improved by 31% and 53%, the recognition rate is increased by 3.9% and 4.6% and the classification effect is significant.
Research on Speech Enhancement Based on Deep Neural Network
Authors: Wang Yiting , Wei Zhenhua
Published: October 2020

The traditional single-channel speech enhancement algorithm has many unreasonable assumptions, which limit the performance of the algorithm. The speech enhancement based on deep neural network can effectively eliminate the problems such as “music noise” in the traditional methods, thus achieving better results than the traditional single-channel speech enhancement. However, the DNN-based speech enhancement model does not perform well at low SNR. In order to improve the robustness of the model, we used voice activity detection (VAD) to process the training data to obtain a new VAD-DNN speech enhancement model. We added 100 kinds of noise in the training set to improve the ability of the model to deal with the unseen noise. At the same time, in order to prevent the occurrence of overfitting problem, we introduced dropout technology to process the network, and improved the generalization ability of the model by using noise awareness training (NAT). Through experiments, we found that the speech enhancement model based on VAD-DNN improved PESQ index by 0.02 and STOI index by 0.01 on average under the condition of low SNR.
Examination on Stall Characteristics inside the Diffuser of a Radial Pump
Authors: Feng Jianjun , Ge Zhenguo , Yang Honghong , Li Yunzhe , Zhu Guojun
Published: October 2020

In this paper, the numerical simulation software ANSYS-CFX is used to simulate the flow field in the radial pump together with the SST k-ω turbulence model. The cross-power spectra analysis method is used to examine the internal rotating stall in the diffuser region. The rotating stall characteristics occurring in the part-load condition inside the vaned diffuser were discussed by using the cross-power spectra method
Design of Simulation Verification Platform for Ship Sub Assembly Digital Production Line Control System
Authors: Jiang Xiaowei , Song Qingwei , Fu Wei , Xu Yunjie , Ding Heping
Published: October 2020

The early verification of the control system of the sub assembly production line plays an important role in the efficiency and quality of the production line. The traditional control system verification is based on the actual production line and the cost is high. This paper proposes a simulation verification platform with data interaction with the control system, which can verify the control system at low cost. It can enable the ship sub assembly laboratory to have the ship sub assembly production line simulation, testing, and development capabilities to meet the research needs of the ship sub assembly production line.
Characteristics and Development Prospect of Computer Automatic Patrol Inspection Technology
Authors: Wu Yaguang , Sun Lintan , Han Wei , Chen Long , Liu Xusheng , Wu Zeyuan
Published: October 2020

Due to the continuous progress of science and technology and the continuous development of economy, the traditional information system automation platform can no longer meet the requirements of the current reality. Therefore, it is urgent to design a new type of operation and maintenance automation platform. Starting from the demand of power grid enterprises, this paper introduces the operation and maintenance automation platform system, puts forward the design idea, technical means and system design framework.
Discuss the Application and Presentation of 3D Visualization Technology in Data Center
Authors: Sun Lintan , Han Wei , Lv Jingxian , Song Can , Yang Zixing , Fu Dake
Published: October 2020

The 3D visualization virtual simulation technology performs professional 3D modeling of scenes and equipment at all levels in an enterprise data center. It is driven by the bottom of the 3D engine technology and presents data center infrastructure information on a large screen. Seamlessly integrate various monitoring systems and asset libraries, diversified charts customized to show the running trend and health status. With the new characteristic concept of operation and maintenance combined with 3D scene display and 2D data elements, we strive to make 3d visual virtual simulation technology better serve the operation and maintenance personnel of the data center. Supports the highlighting of alarm special effects in the equipment room scene, click the device alarm quick positioning, and handles the alarm event. Output the real-time operation data of the equipment in the form of three-dimensional curve charts to intuitively grasp the operating trend of the equipment. IT equipment loading and unloading in the cabinet does not require operation and maintenance personnel to visit the equipment room to check the distribution of equipment. 3D visualization technology supports the retrieval of the space, electricity, load bearing and information points in the cabinet as query conditions to generate construction orders, Solve the inefficient way of inquiring account books and planning by operation and maintenance personnel through scientific and technological means. Through human-computer interaction, the traditional tedious and boring single operation mode of operation and maintenance has been changed, and the operation and maintenance management level of enterprise data centers has been effectively improved.
Construction and Analysis of Transplanting Robot Actuator Control System Based on Machine Vision
Authors: Gong Kun , Guo Yingjiang , Fang Wentai , Niu Zijie
Published: October 2020

automated transplanting robots can liberate human labor and rapidly increase the speed of transplantation. This paper aims at the application of mechanical arms in transplantation by analyzing the force of the actuator during the transplantation process, and combines with the kinematics analysis of the actuator to create a control system for transplanting robot actuators based on machine vision, then simulates and verifies the transplanting robot actuators and control system, the result shows that the transplanting function is stable and the effect on plant protection is good.
A Literature Review of the Empirical Research on TFP and Its Influencing Factors in Power Industry
Authors: Feng Xinxin , Song Haiyun , Xiao Hanxiong , Gao Guowei , Li Rui , Liang Cai
Published: October 2020

Based on literature review, this paper studies the empirical research on total factor productivity (TFP) of power industry and its determinants. We found the TFP estimations were generally conducted on the industry level, less research on the micro firm level, and most studies were focused on growth factors including power reform, environmental constraints and technological progress. With insufficient decompose of firm TFP growth, it is difficult to provide practical advice for companies to increase their TFP.
A Resource Trusted Model Based on Game Theory in Cloud Computing
Authors: Shang Qinghong
Published: October 2020

With the development of cloud computing, task scheduling has been an important problem in cloud computing. We should consider not only the performance of resources, but also the reliability of resources and users for resource allocation and scheduling. We proposed a trusted model based on game theory to evaluate the trusted scores of cloud participants. Simulation results show cloud users and resource tend to send feedback information to agents in order to increase their scores. Also trusted score is an important factor to affect the decision of resource allocation. Results show our model improved resource utilization and load balance.
New solution to the motion acceleration disturbance in MEMS-based attitude and heading reference system
Authors: Yang Yingdong , Wang Bo , Fu Xiao , Xu Yuzhe
Published: October 2020

The attitude and heading reference system based on microinertial measurement unit is becoming increasingly important in the fields of vehicle navigation, autonomous underwater vehicles, and unmanned aircraft systems. However, motion acceleration disturbance always affects attitude fusion, thereby making the study of compensation method for attitude fusion in motion important. In this work, two independent extended Kalman filters with clear structure and easy control are used to calculate attitude fusion. The linear process of the measurement equations in this structure is avoided and is more intuitive than the Euler-angle or Quaternion method. Subsequently, this work describes the motion convergence model for suppressing motion acceleration disturbance. This model is designed on the basis of gyro compensation and motion statistical analysis. First, the concrete structure of the model is introduced, and the feasibility of the scheme is analyzed. Second, the influence of small gradient acceleration on the model is elucidated. Finally, vehicle experimental results show that the model can effectively reduce motion acceleration disturbance and reflect the real attitude changes inside the vehicle body.
Scheduling technology of satellites parallel final assembly based on Multi-island Genetic Algorithm
Authors: Ren Penghao , Meng Shaohua , Yi Wangmin , Chen Changyu , Du Ruizhao , He Yun
Published: October 2020

The satellite final assembly is a production process with thermal test workplace and mechanical test workplace as the core resources. The final assembly of each satellite shall guarantee the delivery date (the date of leaving factroy) as well as the delivery of key time points. In this paper, a scheduling problem model is established aiming at minimizing the total delay penalty with the workplace resource as the main constraint for the multi-satellite parallel final assembly process. The problem is solved by designing Multi-island Genetic Algorithm. Finally, a case of satellite final assembly production is scheduled to arrange the corresponding assembly workplace for each process of each satellite. As a result, most of the satellites have little or no delay in key time points and delivery date. A practical scheduling plan is gotten.
Design on Universal Flight Test Platform for Aerospace Components
Authors: Zhang Hongwei , Xiao Aibin , Wang Zhe , Liu Hui , Wei Zhichao
Published: October 2020

In view of the current problems such as immethodical in-orbit testing and verification of components, and complex and diversified methods of development of test verification devices and in-orbit testing of components, the paper proposes a systematic design scheme for a universal flight verification platform for components. The paper elaborates on the demand analysis, functional module division, in-orbit test methods, etc. with regard to the platform, analyzes the platform's advantages in carrying out in-orbit tests to different types of components, and realizes the generalization, standardization and modularization of the flight test platform.
The traffic performance analysis of wireless broadband communication in electricity system
Authors: Tang Xiaoke , Wang Rui , Wang Yubo , Zhao Dongyan , Zhao Xu , Zhang Yubing
Published: October 2020

HPLC (high speed power line carrier) is widely used in electricity information collection, but because of the large variation of attenuation of power line channel, in some environment, it needs wireless communication as supplement router, the current wireless technology, such as LORA, NB-IOT are for narrowband and can’t be used to form a hybrid network with HPLC. So wireless broadband communication in electric system need to be studied. In this paper, we evaluate three types of electric traffic under wireless broadband communication with the reference of HPLC standard because there is not an approved standard about wireless broadband communication for electric system currently.
Low friction and high load-carrying capacity of a slider bearing with an inhomogeneous surface affinity
Authors: Shi Wenxue , Sun Bowen , Chen Lu , Wang Wen , Guo Liang
Published: October 2020

In fluid lubrication systems, lower friction means less energy consumption, whereas higher film thickness means higher load-carrying capacity and lower probability of wear. Traditionally, friction coefficient increases with oil film thickness, which cannot meet the design requirements of modern equipment, such as MEMS. In this study, we attempt to tackle this challenge by introducing an inhomogeneous surface affinity on a static slider bearing surface. A model combining the limiting shear stress and slip length is adopted to analyse the effect of boundary slip on the hydrodynamic performance of a slider bearing. The model is firstly verified by comparing the calculated results with the experimental data, and then parameter study is conducted. Results indicate that lower friction and higher film thickness can be realised simultaneously by a specific design of the inhomogeneous surface affinity.