bluuebunny/crossref_metadata_2025 huggingface dataset:
Dry soils can intensify mesoscale convective systems
Authors: Klein Cornelia , Taylor Christopher M.
Published: August 2020

Significance

Soil moisture plays a key role in the climate system by affecting rainfall and drought over land. Through its impact on temperature, humidity, and wind in the lower atmosphere, it can influence where thunderstorms initiate. However, in many regions of the world, traveling storm clusters known as mesoscale convective systems (MCSs) are the dominant source of rainfall, and very little is known about their response to surface conditions once triggered. We use satellite observations to demonstrate that dry soils at scales≥200 km frequently create atmospheric conditions that intensify mature MCSs in the Sahel, long after their initiation. This surface-driven predictability of hazardous weather has potentially important applications, particularly in Africa, where the population is increasingly exposed to flood risk.
Massively parallel classical logic via coherent dynamics of an ensemble of quantum systems with dispersion in size
Authors: Gattuso Hugo , Levine R. D. , Remacle F.
Published: August 2020

Significance

There is a worldwide effort toward quantum technology. Information processing, sensing, communication, and related areas are getting much of the attention. The advantages offered by the quantum domain are well recognized and acclaimed. Proposed implementations rely on systems operating at rather low temperatures and on the need to isolate the system from outside sources of noise. We discuss a theoretical scheme that suggests operating with a classical collection of quantum systems. An experimental demonstration of the principle is available. The ensemble is an array of size-disordered quantum dots addressed and probed by laser pulses. The algebraic approach encodes information in the coherences between quantum levels of the dots and demonstrates resilience to size disorder.
Using of radio-frequency capacitive discharge plasma for modification of jute fabrics
Authors: Antonova M V , Krasina I V , Ilyushina S V , Mingaliev R R , Minyazova A N , Ibatullina A R , Abdullina V H
Published: August 2020

The article considers issues related to the effect of plasma treatment on the properties of jute fabrics and their component fibers. The modes of plasma treatment of jute fabrics were selected. The surface changes of jute fibers were studied by using scanning electron atomic force microscopy. According to the results of the experiments, an increase in the strength characteristics of jute fabrics treated with radio-frequency capacitive discharge was revealed, and the roughness of the surface of jute fibers was estimated.
Voltage drop in the jet electrolytic cathode
Authors: Akhatov M F , Kayumov R R , Mardanov R R , Saifutdinova I I
Published: August 2020

This article presents the results of experimental studies of the voltage drop across a jet electrolytic cathode for various lengths of jets of an electrolytic electrode. The analysis of experimental data indicating a change in the conductivity of the jet electrolytic cathode, depending on the length of the jet.
Analysis of nanostructured cobalt ion beam-modified Ge surface for high capacity Li-ion battery anodes by X-ray photoelectron spectroscopy
Authors: Lyadov N M , Khantimerov S M , Yanilkin I V , Faizrakhmanov I A , Bazarov V V , Valeev V F , Suleimanov N M , Kierzek K , Gavrilova T P
Published: August 2020

The results of the study of nanostructured germanium (Ge), intended for its subsequent use as electrodes of lithium-ion batteries are presented. Single-crystal germanium plate was irradiated by cobalt ions with an energy of 40 keV in the dose 4×1016 Co+ / cm2 for the nanostructuring. The changes in the elemental composition occurring during the electrochemical lithiation of manufactured germanium electrode were investigated by X-ray photoelectron spectroscopy (XPS).
Construction of a mathematical model of the vibrational process of pipelines under internal and external loads
Authors: Nazarychev S A , Gaponenko S O , Zakharova V E
Published: August 2020

The article proposes a modal analysis of the natural vibrations of polyethylene pipelines, which is a calculation of the vertical and lateral pressure exerted by the soil on the pipelines, on the basis of which an oscillation study was conducted in the Ansys software package. The results of modal analysis for polyethylene pipes are presented for a laying scheme with inclined walls and various soils.
Gas-dynamic structure of a plasma jet in He and Ar, striking the surface of a liquid and a plane dielectric
Authors: Akishev Yu S , Kopiev V F , Kopiev V A , Inshakov S I , Kudryavtseva E D , Petryakov A V , Trushkin N I
Published: August 2020

The results of experiments on the interaction of an argon plasma jet with a liquid are presented. The effect of a coaxial barrier discharge on the gas-dynamic regime of a plasma jet of helium, freely blown into ambient air, and also colliding with a solid surface, is studied. Three orientation helium jets were studied - the jet is directed up, down and horizontally. Schlieren images of a jet were compared with visible images of a plasma jet. It is concluded that the main effect of the discharge on the gasdynamic regime of the jet is associated with gas heating in the discharge zone.
The research of the electric arc movement of direct current arc gas heater
Authors: Samigullin A.D.
Published: August 2020

This article deals with experimental definition of the electric arc moving speed and develops relation of current strength change at interelectrode gap 2, 3 and 4 mm considering different consumption of orifice gas. Shadow photographs of the electric arc and traces on the electrodes have been also provided.
Application of preliminary plasma modification the surface of synthetic materials in the processes of application of functional metal coatings
Authors: Timoshina Y A , Voznesensky E F , Karnoukhov A E , Krasina I V , Rakhmatullina G R , Pankova E A , Shagivalieva R R
Published: August 2020

The results of experimental studies of the effect of preliminary plasma modification on the surface microrelief of synthetic materials and the adhesion of a metal coating deposited on them by magnetron sputtering are presented.
Small non-sphericity of a convergent shock wave arising in a cavitation bubble in acetone during its collapse
Authors: Aganin A. A. , Khalitova T. F.
Published: August 2020

A numerical study of the features of the growth of small deformations of a radially-convergent shock wave in a collapsing cavitation bubble in acetone has been performed. The liquid temperature and pressure are 273.15 K and 15 bar, respectively. At the beginning of collapse, the bubble radius is 500 μm, the bubble is filled with the saturated vapor of acetone. The initial bubble non-sphericity in the form of the second, fourth and sixth spherical harmonics are considered. The dynamics of the vapor in the bubble and the surrounding liquid are governed by the axisymmetric gas dynamics equations closed by wide-range equations of state. The bubble surface is explicitly traced. It is shown that the small non-sphericity of the shock wave during its convergence, similarly to that of the surface of a bubble during its collapse, increases with decreasing its radius in the form of oscillations with growing amplitude. Moreover, the dependence of the increase in the amplitude of those oscillations on the radius of the shock wave in the interval from its formation to its reaching the “hot” bubble nucleus with a radius r < 0.25 μm, can be described by a power law with an index of -1.18.
Experimental Investigation of Forced Gas Oscillations in a Cubic Resonator
Authors: Gubaidullin D A , Zaripov R G , Tkachenko L A , Shaidullin L R , Kabirov A A
Published: August 2020

Nonlinear oscillations of a gas in a volume of a cubic resonator at small excitation amplitudes are experimentally investigated. Influence of amplitude and frequency on gas dynamics is studied. It is shown the gas pressure waveform retains a continuous in time for all the being studied amplitudes and excitation frequencies and reaches its maximum at the first eigenfrequency, where it has a weakly expressed nonlinearity.
Low Power Cuk Inverters
Authors: Hakki A , Kashapov N F
Published: August 2020

The paper describes a low power cuk inverter for atmospheric Helium plasma (He). A high frequency was used in order to drive the pulse width modulation circuit. The average output current consumption (AOCC) was modified from (10A) up to (20A) by increasing the duty ratio from (0.10) up to (0.30) for the atmospheric Helium gas plasma. The switching frequency of the cuk inverter was fixed at (25KHz).
Isolated Ignition circuits for High Power DC Plasma
Authors: Hakki A , Kashapov N F
Published: August 2020

The paper describes a high voltage Spark ignition system. This spark was used to ignition an atmospheric Helium plasma (He). A high frequency (25KHz) was used in order to drive the transformer of the Spark ignition. The average output voltage was (12KV), the input DC voltage was modified from (10V) up to (14V). The duty cycle of the switching frequency was fixed at (50%).
Research on the principle of distribution network fault handling
Authors: Zhang Yuze , Tong Xinyu , Li Xu
Published: August 2020

Compared with the transmission network, the distribution network has a wide distribution area, a large number of electrical equipments, a complex operating environment and a high probability of fault. According to the operation characteristics and common fault types of distribution network, this paper first describes the main task and basic mentality of distribution network fault handling, and then puts forward the handling principles of distribution line fault, single phase-to-ground fault and voltage transformer fault, which provides technical support for dispatchers to deal with distribution network fault reasonably.
A Study on the effect of different proportion of B4C and Al powders on the strengthened layer of TC4 by EDM
Authors: Zhao Junling
Published: August 2020

The surface of TC4 titanium alloy was strengthened by powder-mixed near-dry EDM with different proportion of B4C and Al powder. The microstructure, wear resistance and strengthening time were analyzed and studied. The results show that the microstructure and strengthening time of the strengthened layer are affected by different proportion of powder. With the increase of B4C content, the thickness of strengthening layer increases, and with the increase of Al content, the strengthening time decreases. When the proportion of B4C to Al powder is 2:1, the microstructure appearance is the best, the petal structure is compact and the cracks are few, the thickness of strengthening layer is the largest, and the wear resistance of the strengthened layer is about 3.8 times as much as that of the substrate.
Multi-working points Power follower based energy management strategy for series hybrid electric vehicle
Authors: Peng Chunlei , Feng Fuyong , Xiao Yuefeng , Liang Wenjiao , Xubing
Published: August 2020

The series hybrid electric vehicle is powered by an internal combustion engine-regenerator and the battery, and the two kinds of source have different operational characteristics. Energy management strategy will effect fuel consumption, SOC maintenance, and the driving performance. So, it is very important to do Energy distribution well. In this study, a Multi-working points Power follower based energy management strategy was erected, PPU will supply the low-frequency and base power while BMS will supply the high-frequency and peak power, and both of PPU and BMS work in their efficient operating regions. A typical driving cycle was employed to test the effectiveness of the proposed strategy, and the simulation results show that the strategy can effectively split the power between PPU and BMS, and help the vehicle follow the Driving cycle well.
Investigation of influence the slot/pole combinations on the torque performance for synchronous reluctance machine with distributed and concentrated windings
Authors: Salah Amer , Elnour Muhanad M , Elnail K E I
Published: August 2020

This paper explores the electromagnetic performance comparison of three different types of synchronous reluctance machines. The investigated machines including, conventional full pitch distributed winding (24 slots/4 poles), an integer slot concentrated nonoverlapping winding (12 slots/4 poles), and fractional slot concentrated nonoverlapping winding (15 slots/8 poles). A finite element analysis JMAG Designer is used to validate the performance for all machines, and have been employed for the optimisation process to improve the torque density as well as to minimise torque ripple. Meanwhile, the current density, slot filling factor and specific dimensions, viz., stator outer diameter, stack length and air gap are designed to be constant. The result shows that for a DW-SynRM, a high value of average torque is achieved, and the torque ripple is lower. The result also demonstrates that the FSCW-SynRM can reach a low torque oscillation. Meanwhile, the ISCW-SynRM exhibit a high reluctance torque, but the torque ripple is a big challenge. On the whole, the distributed winding machine has the best performance compared to concentrated winding machines.
Research on the Basic Electromagnetic Compatibility of Locomotive Based on Electromagnetic Simulation
Authors: Chen Jiahao
Published: August 2020

By means of the electromagnetic simulation software, the cable model of the electric equipment inside the locomotive is established. The electromagnetic field of different types of cables, the situation of different positions and whether to add barriers are analyzed, so that the shielding effect can be reflected. Besides, the formula of shielding effectiveness is analyzed and the relevant conclusions are obtained. Through this paper, a conclusion can be drawn about the influence of different cable types, different cable placement methods, and whether or not to add barriers between cables on electromagnetic compatibility.
RETRACTED: Research of Smart Tourism Management Model under the Background of Big Data
Authors: Liu Ying
Published: August 2020

In recent years, communication and information technology have developed rapidly, and various industries are rapidly transforming into digitalization, informatization, and intelligence, thus entering a new era of big data. Smart tourism is no longer a slogan. It has become the goal of the transformation of the tourism. In the context of the development of big data, the essence of smart tourism is researched and the ideas of smart tourism development and construction are discussed. A platform can be used to build tourism service prediction and feedback, and the path of building a smart platform can be discussed.
Application of Big Data Technology in Product Selection on Cross-border E-commerce Platforms
Authors: Liang Jia-Hui
Published: August 2020

With Amazon as the study case, the application of big data in product selection on this e-commerce platform is studied. Two big data analysis tools commonly used in commerce, the MPP distributed database and the Hadoop distributed database, were analyzed. Based on big data technology, the search function of the platform, the analytical tools, and third-party data analytical tools, this study compared different levels of comments of customers for the same type of products and analyzed the product selection mechanism.
RGB-D SLAM based on semantic information and geometric constraints in indoor dynamic scenes
Authors: Liu Tao , Zhao Hailong , Liu Yiqun , Fan Xuanxia
Published: August 2020

In order to solve the shortcomings of traditional simultaneous localization and mapping in dynamic environment, which is interfered by moving objects, resulting in low accuracy and poor robustness, a visual simultaneous localization and mapping algorithm combining semantic information for motion detection was proposed. First, the SegNet deep neural network is used to extract the semantic information of the environment, and the prior knowledge is used to determine the static attribute objects and dynamic attribute objects. In the motion detection module, the feature points on the dynamic attribute objects are used to perform motion detection using geometric constraint relationships. Then the building module uses semantic information to build a semantic octo-tree map. In order to analyse the effect of motion detection, a control experiment with a motion detection module removed was set up. Finally, experiments were conducted using TUM datasets, and the experimental results of the two schemes were compared and analysed.
Fuzzy BP neural network in radar intelligence quality evaluation
Authors: Liu Renzheng , Fan Xiongfei , Wang Zhijun , Yue Wei , Tian Kangsheng
Published: August 2020

This paper presents a novel approach of radar station intelligence quality evaluation which based on fuzzy Backpropagation neural network (BPNN). Firstly, the index system of the radar station intelligence quality evaluation is established according to the analysis of the process, the characteristics, and the main influencing factors of the radar station intelligence production. And then the factor set, comment set and the membership matrix are structured, the fuzzy BPNN for evaluating the quality of the radar station intelligence is designed referring to the index system. Finally, the experiment shows that the accuracy and stability can be improved effectively by using fuzzy BPNN to evaluate the radar station intelligence quality
State estimation of packet loss network based on dimension compression of measurement information
Authors: Lan Jie , Wang Ting
Published: August 2020

With packet loss, this paper proposes a method to compress the dimension of measurement information obtained by the sensor which is distributed in the wireless sensor network with single sensor and single communication link. Based on the minimum mean square error criterion, the state estimation method under the condition of dimension compression of measurement information is designed by using the improved Kalman filter when measurement noise and system noise are correlated. And the convergence condition of the estimation algorithm is analyzed. The simulation platform of matlab is used to verify the proposed estimation method. It is proved that the estimation accuracy of the measured physical quantity can be improved by using the dimension compression of measurement information estimation method, so as to improve the reliability of the whole network system.
A lightweight attribute-based authentication system with DAA
Authors: Liu Xin , Guo Man , Zhang Bin , Li Xuzhou
Published: August 2020

In cloud computing environment, while preventing users from illegally accessing resources, various cloud service systems must provide protection for authorized users of their personal sensitive information. Attribute-based authentication (ABA) makes it possible to solve the above problems. An efficient ABA system was put forward by extending the direct anonymous attestation (DAA) scheme of Brickell et al. During the construction of the new system, the technique of lightweight ciphertext policy attribute-based encryption was adopted, and the online computing task of users was optimized. Compared with other similar systems, the new system is characterized by the use of trusted computing technology to improve the level of privacy protection of users, and the computational complexity of users in the authentication stage is independent of the size of access policy.
Preliminary study on prediction-driven munitions supply mode based on big data
Authors: Bai Yu , Qin Xiangyu , Zhang Jingchen
Published: August 2020

The application of big data in military logistics has made great leap in the way of supporting forces and aiding in operational decision-making. This paper introduces a new munitions supply mode—prediction-driven munitions supply based on big data. By monitoring the various sources of munitions consumption data and order data, leveraging the processing technologies, the prediction-driven munitions supply can realize the munitions requirement prediction, and based on the result of the prediction, the munitions managers and logistic supporting organizations can suggest supporting decisions, which leads to the realization of supply ammunition well in advance of shortages happen.
Improving the application of fuzzy RBF neural network in temperature control system
Authors: Dingfang  , Zhouyang
Published: August 2020

The temperature control system of aircraft ground air conditioning has the characteristics of complex work, non-linearity and time-varying working, the traditional PID control overshoot is too large and the response speed is low, which can not meet the needs of high efficiency and speed. In order to improve the control performance of aircraft ground air conditioning, a fuzzy RBF neural network optimized by the improved bacterial foraging(BFO) and flower pollination(PFA) algorithm was designed, and the air conditioning system was modeled and simulated. The analysis results show that the improved algorithm has better control ability than other algorithms in terms of control accutacy and anti-interference ability, effectively restraining the large lag and other problems, which provides a theoretical reference for the optimization of air conditioning temperature control system.
Improved Kriging model based on weighted self-adaptive differential evolution and application for structural monitoring data
Authors: Wang Junlong , Liu Hongyue
Published: August 2020

The integrity of structural health monitoring data plays an important role in extracting data features. An improved Kriging model based on weighted self-adaptive differential evolution algorithm (KWSDE) is proposed to repair the spatial missing data. In the KWSDE model, the control parameters of variogram in Kriging are optimized by a novel differential evolution (DE) with both scale factor and crossover rate adaptation. Besides, a weighted least-square method is presented for the optimization process to restrain the variable scale of the fitness function, which makes it more suitable for the lack of monitoring data. Finally, a distributed optical fiber monitoring experiment is designed to verify the reliability and functionality of the proposed model. Compared with the Kriging based on DE model (KDE), the interpolation precision of the KWSDE model can be improved by more than 10%, which has great significance for its engineering application.
Research on the technology of terrain classification and change detection based on deep learning
Authors: Wang Xiao-Nan , Zhang Qiang , Wang Feng-Yu , Gao Yang
Published: August 2020

With the rapid development of urbanization in China, the change of land property is very rapid. The detection of land change is helpful to the government’s supervision and the development and protection of land resources. The traditional methods of land feature classification and change detection of remote sensing image generally adopt the methods of manual annotation and recognition. Due to the performance defects, they can not meet the requirements of remote sensing image business application. In this paper, the technology of satellite remote sensing image feature classification and change detection based on deep learning is proposed, and several demonstration cases of automatic classification and change detection system of buildings, roads, water bodies, forest land and other features based on high-resolution remote sensing image are formed. Relevant research results show that the technology can meet the requirements of remote sensing image classification and change detection, and the accuracy of the review is more than 90%.The method adopted can effectively solve the application needs of related fields.
Research on Key Technologies of Knowledge Graph Construction Based on Natural Language Processing
Authors: Wang Guilei , Tao Yue , Ma Haixu , Bao Tong , Yang Jingmiao
Published: August 2020

As we all know, building a domain knowledge graph from a large amount of text requires a very large amount of work, including entity recognition, entity disambiguation, relationship extraction, and event extraction, etc. It is difficult to build a very comprehensive domain knowledge graph from scratch. Fortunately, with the rapid progress of natural language processing technology, we can use a large number of natural language processing tools to help us build a domain knowledge graph. This article mainly studies the extraction of domain terms in the process of constructing the knowledge graph. The natural language processing techniques used are mainly new word discovery, word segmentation, and keyword extraction. This paper improves the existing imperfect natural language processing technologies and applies them to the process of constructing the domain knowledge graph in order to construct the domain knowledge graph accurately and efficiently.
Development and application of HVDC Cable polarization/depolarization current detecting instrument
Authors: Huichao Ma , Li Jianli , Yin Liqiu , Zhang Hui , Xue Kun
Published: August 2020

In order to test the insulation state of 6kV XLPE cable reliably, the system design and related test work are carried out in this paper. High voltage excitation source, weak current test module, data acquisition system, communication, power supply and other hardware design work are described. The control of high voltage signal, switching of measurement mode, data acquisition of current and software design of man-machine interface are introduced. Finally, the designed test instrument is presented, and the field test results show that the home-made polarization and depolarization current (PDC) instrument can be used for testing, and the overall test performance is relatively good.
Research on Hybrid Cascaded Multi-terminal HVDC Transmission and Its Dynamic Model Test
Authors: Zhan Rong-Rong , Liu Long-Hao , Dou Qiong-Zhu , Zhang Lei , Bai Lei-Cheng
Published: August 2020

Hybrid cascaded multi-terminal DC transmission topology scheme adopts LCC converter at the rectification side, inverter side uses high-end LCC converters in series with low-end multiple VSC converters. This topology solution can make full use of the advantages of LCC and VSC technology. As a new generation of HVDC transmission technology, hybrid cascade multiterminal still has many key technologies to broken. Through the development of hybrid cascade multiterminal HVDC dynamic simulation test system, the start-up, shutdown, high and low valves switching-back and DC fault self-cleaning of hybrid cascade multiterminal HVDC transmission are studied and tested. It provides technical support for the engineering application of hybrid cascade multi-terminal HVDC transmission technology.
An Efficient Organization of Configuration for CGRAs Applied to Block Ciphers
Authors: Liu Xinliang , Yang Jinjiang
Published: August 2020

An efficient organization of configuration is proposed to decrease the size of configuration memory and the time of configuration transmission. Different block ciphers are analysed. And, computing features of algorithms are summarized. Then, the configuration is organized according to the heterogeneous Processing Elements (PEs). It is applied to a coarse-grained reconfigurable architecture (CGRA) which is implemented under TSMC 40nm CMOS technology to compare with similar work. The comparison results show that the configuration capacity decreases with the proposed organization structure. Configuration capacity of the algorithm is reduced by 90.93% to 96.91%.
Improved DSVPWM strategy for transformerless three-level grid-connected inverter
Authors: Li Zhang , Sun Junbin
Published: August 2020

Aiming at the leakage current problem in the transformerless three-level grid-connected inverter, an equivalent model of the common-mode circuit is established, and the analysis shows that in addition to the common-mode voltage, the fluctuation of the neutral point voltage is also an important reason for the leakage current. Therefore, an improved DSVPWM strategy is proposed, which introduces a non-basic vector in the same sector as the synthesized reference vector. This not only makes up for the shortcomings of the traditional DSVPWM strategy that cannot balance the neutral point voltage due to the lack of redundant vectors, but also retains the advantage of halving the common-mode voltage amplitude in the traditional strategy, because this introduced vector is the basis vector for other sectors. In order to prevent the total vector action durations from overflowing and reasonably allocate the duration of each vector action, a corresponding neutral point voltage balance algorithm is designed, so that the neutral point voltage is effectively controlled, and the leakage current is greatly attenuated. Simulation results verify the effectiveness of the proposed improved modulation strategy.
Research on Key Technologies of On-line Oxygen Concentration Measuring Instrument
Authors: Zhang Yuan-Zheng
Published: August 2020

When applied in a coal mine, oxygen concentration monitoring will be affected by changes in temperature and pressure, which will cause large deviations in the measured values. In this paper, by integrating oxygen concentration monitoring, temperature monitoring, and pressure monitoring, by finding the functional relationship between the oxygen concentration monitoring value and the pressure value and temperature value at different pressures and temperatures, the effect of temperature and pressure changes on the measurement accuracy of oxygen concentration is eliminated. Based on the analysis of the influence of ambient temperature and pressure, a method of temperature and pressure compensation is proposed. It has been tested that the thermal stability time of the oxygen sensitive element is controlled within 30s, and within the range of (-10 ˜ 50) ° C and (50 ˜ 120) kPa, the measurement error of the compensated oxygen concentration is less than 2.5% FS.
RETRACTED: Reflections on the Development of Rural E-commerce and the Cultivation of Professional Farmers in the Era of New Media
Authors: Wu Ze-Yu , Tan Linhao
Published: August 2020

The advent of the new media era has also created the necessary conditions for the development of rural e-commerce, but it has also brought certain challenges. In the process of new rural construction, we also need to promote the development of rural e-commerce, strengthen the cultivation of professional farmers, and promote rural consumption levels and industrial development. These things are also very important for achieving the goal of modern countryside. This article mainly explores and analyzes the development of rural e-commerce and the cultivation of professional farmers in the new media era.
A new solenoid valve application in smart toilet
Authors: Zhu Wenqing
Published: August 2020

Solenoid valve is an important part of smart toilet, which plays a very important role in smart toilet products. The influence of comprehensive performance for solenoid valve on the quality of smart toilet is detailed analyzed, the structure of new solenoid valve is designed, comprehensive performance testing system of the solenoid valve is developed, and comprehensive performance for new solenoid valve is tested by using testing system. The test results prove that the new solenoid valve has good comprehensive performance; meanwhile, it also verifies the generality and reliability of comprehensive performance testing system of the solenoid valve.
Design of Testing Device for Anisotropic Friction Characteristics of Composite Materials
Authors: Yao Liang , Qu Ju-Xin , Meng Lijun , Yao Xiao-Guang , Li Hong-Bin
Published: August 2020

In order to meet the rapid and accurate measurement of anisotropic friction characteristics of composite materials, based on Coulomb’s friction theorem, a new type of testing device for friction characteristics of composite materials is designed with the speed control of servo electric cylinder and the real-time data acquisition of tension pressure sensor as the core. The device can adapt to the test of five typical installation angles of 0 °, 45 °, 90 °, 135 ° and 180 ° between composite test plate and test moving direction. The load and speed can be set within a certain range, and the friction coefficient of composite material in typical direction can be calculated, displayed and replayed automatically according to the measurement results, so as to simulate the different laying direction, load and speed of composite material friction environment.
Analysis of face detection based on skin color characteristic and AdaBoost algorithm
Authors: Li Pei , Wang Hongjuan , Li Yeli , Liu Mengyang
Published: August 2020

For the face detection method based on skin color feature and AdaBoost algorithm, if one of them is used to detect the face, it can also catch the face to a certain extent. However, the detection rate and an error rate of this single method in its detection experiment can’t achieve good results. Therefore, this paper combines the advantages of the two algorithms, combines the two approaches, and improves them. The main idea is to use the skin color features of face detection as pre-detection, and use the established skin color distribution Gaussian model to obtain candidate regions containing the skin color of the face, and then use a cascade classifier to detect the skin color regions. By using OpenCV and Visual Studio software, a lot of experimental statistics and analysis are carried out. The research shows that the improved algorithm is superior to the two algorithms in detection rate and false detection rate, and it can also achieve a good detection effect for the face in a complicated situation.
An earthquake prediction model based on precursor window detection
Authors: Ai Yong , Wang Xin-An , Yong Shan-Shan , Sun Chong
Published: August 2020

The research of the earthquake precursor signal anomaly is one of the main research directions of short-term and imminent earthquake prediction. An earthquake prediction method based on time precursory window is proposed in this paper, which is based on the low-frequency electromagnetic signals collected by AETA. Firstly, the prediction model of historical low-frequency electromagnetic signals is constructed by machine learning method. The model is used to detect whether the current time period is in the window of earthquake precursors. Furthermore, two algorithms based on single-site and group-site position prediction is proposed in this paper. The algorithm filters three or more stations within the effective distance range, and uses the probability of earthquake occurrence as the weight to locate the earthquake center, so as to predict the position of earthquake occurrence. Finally, the real data set is tested on the earthquake of Qingchuan County, Guangyuan City, Sichuan Province, on February 18, 2018. The experimental results show that the proposed model has a good prediction effect.
Intelligent Control of Agricultural Irrigation Based on Reinforcement Learning
Authors: Zhou Ni
Published: August 2020

In the traditional agricultural irrigation control methods, flood irrigation and manual control are generally used to irrigate the land, and the effective utilization rate of water is only 20% -35%. With the advancement and development of science and technology, especially with the rapid development and application of sensor technology, wireless communication technology, reinforcement learning and deep learning technology, and intelligent terminals, intelligent control of agricultural irrigation integrating these high and new technologies has been adopted to improve water resources in agricultural irrigation. The utilization efficiency has become an inevitable trend and fundamental requirement for the development of precision agriculture and facility agriculture. This paper proposes an intelligent control method for agricultural irrigation based on reinforcement learning. By constructing a deep learning network to extract features from the raw sensor data and construct Q-learning features, using deep reinforcement learning powerful data learning capabilities, the precision of agricultural irrigation control can be effectively improved. The effectiveness of this method is verified by algorithm training and testing in a greenhouse plantation of a company in Hunan.
Secondary frequency modulation control strategy of household air-conditioning Load participating system based on K-Means clustering algorithm
Authors: Zhang Yangliu , Li Zhongwei , Bai Ziyang , Liu Yong
Published: August 2020

Compared with traditional frequency modulation methods, if a reasonable control method can be adopted, load-side frequency modulation has the advantage of low cost. Air conditioning is a typical high-power household temperature-controlled load. The huge number and outstanding energy storage characteristics make it an important part of demand response and power system frequency modulation. This paper proposes a clustering and equivalent replacement method for air-conditioning load based on K-Means clustering algorithm. Based on the classification algorithm of air-conditioning load, a control strategy based on K-Means clustering algorithm for air-conditioning load participation in secondary frequency modulation of the system was proposed. Aiming at the phenomenon of “secondary peak load” in the process of load recovery in traditional control strategies, the time-sharing grouped frequency modulation control strategy is proposed. The simulation proves the effectiveness of this control strategy in eliminating the “secondary peak load” phenomenon.
Application Research on Intelligent Management Technology Based on Oil and Gas Pipeline
Authors: Liu Xingyou
Published: August 2020

As artificial intelligence rises to the national strategy, all walks of life are exploring their own development in the fourth industrial revolution. In the 1990s, China ’s oil and gas pipelines entered the stage of automatic control from the initial manual operation. After more than 20 years of exploration and development, the reliability and accuracy of the automation system and communication system have been greatly improved; as a result, central control began to replace station control, and centralized control of oil and gas pipelines greatly accelerated the standardization and standardization of operating procedures. The reliable and accurate system and the standardized procedures laid a solid foundation for the intelligent regulation of oil and gas pipelines. This article gives the definition and connotation of intelligent regulation combined with artificial intelligence and pipeline control and gives two design directions from the status quo of oil and gas pipeline regulation. At the same time, it lists the necessary conditions for the realization of intelligent regulation and control.
Research on Passenger Flow Control Model of Urban Rail Transit Network
Authors: Su Xue , Li Yiping
Published: August 2020

The current urban rail transit faces the pressure of effective transportation management brought about by the large passenger flow. Through this research, it is proposed to construct a coordinated control model for urban rail transit passenger flow and optimize the urban rail transit operation organization. Using the Mixed Logit model to construct the urban rail transit network passenger flow collaborative control optimization model can accurately describe the distribution of the urban rail transit network passenger flow online, which is especially applicable to the network topology change scenario brought by the new line introduction. Empirical evidence shows the correctness and effectiveness of the model.
Research on Objective Evaluation Method of Flight Simulator Fidelity
Authors: Zhao Guo-Chang , Zhou Wen-Zao , Du Hang-Hang
Published: August 2020

As ground simulation equipment, flight simulator plays an important role in pilot teaching and airworthiness compliance verification with the continuous progress of simulation technology. Fidelity is an important index to measure simulator and real flight. This paper studies the objective evaluation of fidelity of flight simulator. Through establishing evaluation loop model and evaluation index, the method of fidelity calculation is obtained. Finally, the effectiveness of the evaluation method is verified through specific missions.
The methods and strategies of relay transfer channel on high-speed rail systems
Authors: Yin Fuxiang , Qiao Xun , Liang Lei
Published: August 2020

With the rapid development of economy and high-speed rail in china. High-speed rail have been put on the agenda in many provinces. “fast, fast, fast” has become the current theme. Although the high-speed train is fast, the transfer time takes up a lot of time, which makes it “slow down”. There is an urgent need for a tool which enables high-speed trains to maintain high-speed travel and enables passengers to transfer, which can save passengers’ transfer time, avoid the stop at high-speed rail stations.
Fuzzy Reliability Modeling of Mechanical Meta-action Assembly Accuracy
Authors: Ge Hongyu , Liu Baoqiang , Zhang Chuanwei , Yang Manzhi
Published: August 2020

Meta-action assembly units are the basic units to ensure the reliability of mechanical function. For the problem that the reliability of meta-action assembly units are difficult to be finely modeled. Combined with the fuzziness of assembly process, this paper introduces fuzzy theory into the reliability analysis of meta-action assembly accuracy.By analyzing the structure of meta-action assembly units, it is concluded that meta-action assembly units are composed of support member, power source, transmission fastener and actuator.Then, an unified structural model of meta-action assembly units is established; according to the mechanism of assembly accuracy, the accuracy information of a meta-action assembly unit is mapped to each assembly item (assembly item is consisted of individual part feature and corresponding part feature). Combined with the fuzzy feature of assembly information, the concepts of assembly accuracy reliability and assembly accuracy fuzzy reliability are proposed. By analyzing the fuzzy characteristics of assembly accuracy of assembly items, membership function of assembly accuracy is determined. According to probability definition of the fuzzy events, a fuzzy reliability model of the meta-action assembly accuracy is established. In view of whether the assembly project of scientific research enterprise has faults, a large number of historical data are analyzed, and the overall 0-1 distribution of observation data is obtained. Precision test of fuzzy reliability model is got on by maximum likelihood estimation of the 0-1 distribution. The example shows that the reliability value obtained by using the model is different from the test result by 0.0029. The results indicate that the method has greater feasibility, simplicity and flexibility.
Friction torque analysis of high-speed spindle bearing based on the quasi-static improved model
Authors: Li Songsheng , Liu Yangyang , Zheng Zhiqiang , Yang Tongxu , Chen Huihang , Xiong Xin
Published: August 2020

In order to solve the problem that the quasi-static model cannot calculate the friction torque of the high-speed spindle bearing, a new improved quasi-statics analysis model which can be used to calculate the friction torque of high-speed bearing was established, in which the force balance condition of ball bearing in rotary plane was added by comprehensively considering the role of the cage and the oil films. And its correctness was verified by both theory and experiment. Based on the improved quasi-static model, the friction torque which affects the internal characteristic and service performance of high-speed spindle bearing is analyzed systematically. Results indicate that the rotation speed and axial pre-load and installation are the key factors influencing the spindle bearing internal friction torque and the friction torque inside the bearing can be effectively reduced by selecting ceramic balls and more small balls structure as well as optimizing the curvature parameters of the raceway of the bearing rings, etc. In addition, the improved quasi-static analysis method provides a new and effective analysis method for the performance analysis, structural optimization design and practical application of high-speed spindle bearing.
Expriments on mechanical and physical characteristics peanut vine at harvest period
Authors: Liu Jia Zhen , Sun Ju Yan
Published: August 2020

In order to understand the physical and mechanical characteristics of peanut vines during harvest period, and then provide theoretical data for the development of peanut vine related machinery. In this paper, physical and mechanical tests were performed using the water content, friction characteristics, density, and shear force of peanut vine during harvest period as indexes. The upper, middle and lower moisture content of peanut vines in harvest period is Wupper >W middle >Wlower; the coefficient of friction between the vine and leather, plastic, stainless steel is about 0.6, and the friction coefficient between the vine and the glass was about 0.5 ; there is a large difference between the apparent density and the bulk density of the vine, the apparent density is about 1.3g / cm3 the bulk density is 1.1g / cm3; as the feed rate is constant, the shear force changes steadily after the cutting velocity is more than 8 m/s; the research results can provide reference for the design of key components such as peanut vine wet harvesting device.
Research on Acceptance and Testing Scheme of Intelligent Distributed Feeder Automation System
Authors: Wang Yifan , Huang Yibiao , Wu Linwei , Wu Yiping , Wang Yu
Published: August 2020

The intelligent distributed FA uses the peer-to-peer communication network between distribution terminals to realize the information exchange between terminals, and uses the line fault state quantity differential and bus fault state quantity differential to realize the fault monitoring, fault isolation and non-fault area restoration of power supply. In the distribution automation system, the proportion of terminals with intelligent distributed FA function is increasing. How to test and accept such terminals has become a research hotspot. This paper introduces the basic test contents of testing intelligent distributed FA through simulation system, and expounds the ideas and methods of test and acceptance in detail. Some suggestions are given for the test and acceptance of intelligent distributed FA terminal, which can be used for reference to improve the test standard and batch test.
A CNN Based Approach with Identity Mapping Module for Mechanical Fault Diagnosis of High Voltage Circuit Breaker
Authors: Zhou Ke , Lin Xiangyu , Wang Xiaoming , Wei Zhou , Wenwei Li
Published: August 2020

In order to improve the accuracy and generalization of mechanical fault diagnosis of high voltage circuit breaker, a CNN with identity mapping module based approach is proposed. Six acceleration sensors are installed at specific positions of the circuit breaker to collect comprehensive vibration signals. A mechanical fault diagnosis model is established based on convolution neural network with identity mapping module. After preprocessing such as down sampling and data splicing, the input signals are analyzed to extract feature information and identify mechanical fault. The experimental results show that the proposed method has better performance in mechanical fault detection compared with traditional CNN method.