bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Coordinated Development of Rural Cultural Industry Cluster and Ecological Environment Construction
Authors: Chen Huan
Published: October 2020

The construction of ecological environment effectively promotes the integration and development of rural industry and ecology, and provides an internal driving force for the ecological development of rural culture and economy. Through the interactive mechanism of building and coordinating the construction of ecological environment and the gathering of rural cultural industry, the innovation effect, collaboration effect and social effect of cultural industry can be improved, so as to realize the coordinated development of the rural ecological environment and the rural cultural industry gathering construction.
Research on Interior Design of Low-Carbon Ecological Concept with Computer Aid
Authors: Li Jianyong
Published: October 2020

Interior design is an important part of people’s living environment, which will directly affect the level of urban living environment. With the prevalence of the concept of low-carbon economy and the development of computer technology, more and more construction projects adopt the traditional low-carbon ecological theory and combine it with realistic design through computer-aided technology, so as to promote the healthy and sustainable development of low-carbon environmental protection. By talking about theory, we can get along well with nature, which can create a comfortable living environment for people. First, this article analyzes the application of traditional low-carbon ecological theory in interior design under computer-aided technology. Then, this paper analyzes the application of traditional low-carbon ecological theory in interior design. Finally, some measures are given.
Energy Format and Classification Based on Format Summary
Authors: Wu Shanshan , Zhang Lili , Tang Rui
Published: October 2020

The article mainly analyses scholars’ research on related concepts of format and energy format, clarifies the definition of format and energy format. Format is defined from the perspective of “meeting the needs of consumers”, which is a general description of the organizational form, management mode, business model and profit model of an enterprise. Energy format is a comprehensive concept which includes business type, industry status and industry potential. The energy industry format refers to the industrial form of different energy products (services), energy production mode and energy management organization form formed by the energy industry organization to meet different consumption needs in the energy market, combining various elements involved in modern energy production and operation. Combined with the different combinations of product types, production modes and operation organization form, the classification standard of energy formats is formed. By examining the comprehensive evolution trend of these three factors, the main basic types of energy formats are concluded.
Analysis of the Application of Mixed Teaching Mode in the Teaching of Organic Chemistry
Authors: Ma Ruiju
Published: October 2020

The emergence of mixed teaching mode is an important educational reform in the educational field. In view of the complex problems encountered in the teaching of organic chemistry in some schools at present. In this paper, the teaching of chemical content is taken as an example to explore the main application of hybrid teaching method in chemical teachingError! Reference source not found.. The combination of online learning and offline learning is used to realize flipped classroom teaching. Change the classroom based on teaching into the classroom based on students. According to a large number of practice, the application of hybrid teaching method in the teaching of organic chemistry is very good.
Experimental Study on Bearing Capacity of Water Striders on Water Surface
Authors: Wang Qingcheng , Yang Xiaodong
Published: October 2020

The paper developed a measuring device which can measure bearing capacity of water striders on the water surface, the measuring range is 1-10000μN, the precision is 0.1μN. The device includes micro force measurement and feed movement control system, electronic balance and control system can communicate with upper computer through RS232C serial. Through testing determination, the smallest linear feed speed of the device is 1 mm/min, which can satisfy the measurement requirements. The experiment measured the maximum bearing capacity of 5 samples of water striders on the water surface, which is 23.6 times its body weight.
Application Prospect of High Strength Aluminum Alloy in Transmission Tower
Authors: Hu Xiaoguang , Lin Yinhe , Cui Zhijie , Xing Haijun , Zhu Binrong
Published: October 2020

Transmission Towers are usually made of steel and protected from corrosion by hot dip galvanizing. This paper explores the application of high strength aluminum alloy to solve the problems of atmospheric corrosion of transmission tower in coastal area and heavy industry pollution area, sand erosion of zinc coating of transmission tower in strong wind sand area, and transportation difficulty in rugged mountain area. Compared with the traditional steel tower, the design and development of high-strength Aluminum Alloy transmission tower has remarkable characteristics. First, the high-strength Aluminum Alloy transmission tower does not need the traditional hot-dip galvanizing process of steel, which can reduce the pollution to the atmosphere and soil environment; Second, the density of Aluminum Alloy material is 1/3 of that of steel, which can reduce the difficulty of construction and reduce transport costs; third, high-strength Aluminum Alloy has good corrosion resistance, and there is no need for routine antiseptic maintenance as steel tower. The application of high strength aluminum alloy transmission tower in area with severe atmospheric corrosion, strong wind sand and mountainous area has high engineering application value.
Purification and Antioxidant Activity of Flavonoids from Chromolaena Odorata
Authors: Sun Hongyan , Cao Baiying
Published: October 2020

To purify the flavonoids from Chromolaena odorata (COF) and evaluate its antioxidant activities in vitro. Methods: The COF were purified by macroporous adsorption resin with optimal purification process, and its antioxidant activities were evaluated by scavenging rate of DPPH free radical, ABTS free radical and superoxide anion radical. Results: The COF were obtained using with AB-8 macroporous adsorption resin washed by 60 % ethanol at the flow rate of 2.0 mL/min, and the purity was 74.22 %. After purification, the scavenging activities of COF on DPPH free radical, ABTS free radical and superoxide anion radical, were 91.36 %, 90.13 % and 93.17%, repectively. The purified COF also showed a certain reducing power. Conclusions: The COF showed strong antioxidant activity in vitro.
Process Optimization of Nuciferine with Cellulase Auxiliary Ultrasonic-Assisted Extraction from Leaves of Nelumbo Nucifera Using Response Surface Methodology
Authors: Lu Zhaoying , Wang Qingyan , Wang Baihui , Liu Junxia , Dou Fengming
Published: October 2020

The cellulase auxiliary ultrasonic-assisted extraction process of nuciferine from Nelumbo nucifera leaves was optimized by response surface methodology. The extraction content of nuciferine was measured by HPLC, On the basis of single factor experiment, ethanol concentration, liquid-solid ratio, and extraction times were selected as independent variables, and the extraction content of nuciferine was selected as response value, Box-Behnken design was adopted and optimized extraction process in this experiment, the optimum extraction conditions were confirmed. The results showed that the optimum extraction conditions were 10% cellulase, 87% ethanol concentration, 1:26g/mL solid-liquid ratio, 3 times and 25 minutes. The content of nuciferine was 0.343mg/g. The extraction rate of nuciferine was 0.034% after cellulase was added, the extraction rate of nuciferine without cellulase was 0.010%. The extraction process obtained was reasonable, this experiment can provide a more excellent and reliable method for extracting nuciferine from leaves of Nelumbo nucifera.
Research on Electro-hydraulic Servo System of Air Rudder on Model Reference Adaptive Control
Authors: Liu Chunqing , Jiang Yufeng , Zhang Zhongzhe , Deng Tao , Yu Dan , Gao Jian
Published: October 2020

An adaptive control system with good following characteristics is designed for the electro-hydraulic servo system which are strongly coupled and seriously nonlinear. The model of position servo system on air rudder is discussed with the uncertain system equivalent to the one with parametric variable double input and single output to establish a Popov-MRAC (Model Reference Adaptive Control) system. The simulation results show that the Popov MRAC system has good following characteristics, precision and robustness.
Calculation of Stress Intensity Factor on Typical MSD Structure of Aircraft Wing
Authors: Zhao Jinfang , Zhao Qun
Published: October 2020

The research object of this paper is Multiple site damage (MSD) structures which are common in the service of aging aircraft. A complex function modified method is proposed to calculate the stress intensity factor of MSD cracks. On the basis of Muskhelishvili complex function method and its approximate superposition method, the concept of equivalent crack is introduced to solve the accurate stress function of MSD cracks. The stress intensity factor of MSD hole edge crack of infinite plate under far end uniform load is calculated and compared with the finite element method. The method is applied to the typical MSD structure of aircraft wing, and the stress intensity factors of cracks in three modes are compared and analyzed. This method can be used to discuss the damage tolerance of MSD structure, it has certain application value in the reliability evaluation of aircraft.
Research on Chinese Traditional Medical Massage Robotic Products Usability Design Process
Authors: Dang Lifeng , Shi Qin
Published: October 2020

It is well known that traditional Chinese medical massage has always been the most effective way to relieve and treat all kinds of chronic pain. More and more TCM massage robots are needed, due to the population aging and the high percent of sub-health. This article mainly do some of the following work. First of all, Based on the principles of product availability and ergonomics, the author summarized the usability elements in the process of TCM massage robot products Secondly, According to the theory and techniques of Chinese medicine massage, the robot terminal designed can realize pressing, kneading, rolling and vibrating techniques. Lastly, the prototype has been successfully developed, which has advantages of smooth operation, good manipulability, low noise and small vibration, during the experiment.
Dual-band Directional MIMO Antenna for WLAN Application
Authors: Shi Chuan , Liu Dong , Ji Jiayu , Yue Zhisheng , Zhu Sunpeng
Published: October 2020

In this paper, we propose a dual-band directional multiple input multiple output (MIMO) antenna, which covers 2.4 / 5.8 GHz frequency band for WLAN. The MIMO antenna consists of four monopoles with the same structure and orthogonal positions, and the port isolation between the monopoles is greater than 13 dB. The monopole antenna generates double-frequency radiation by L-shaped branches and adopts a CPW feed network to achieve broadband matching. Our simulation results show that the antenna has wide bandwidth and excellent radiation performance for indoor WLAN signal distribution.
Research and Comparison of Brillouin Characteristics of Single-Mode Fiber, Few-Mode Fiber and Multi-Mode Fiber
Authors: Che Xiaoxia , Zhao Lijuan , Xu Zhiniu , Yang Zhi
Published: October 2020

This article systematically studies and compares the Brillouin characteristics of single-mode fiber (SMF), few-mode fiber (FMF) and multi-mode fiber (MMF). The Brillouin frequency shift (BFS), Brillouin linewidth, gain peak, and Brillouin gain spectrum of different types of optical fibers in the case of single mode and mode superposition are investigated. The results show that in single mode case, the BFS, Brillouin linewidth, and gain peak of the FMF and MMF decrease as the mode order increases. Considering the mode superposition case, the SMF has the largest BFS, followed by the MMF, and the smallest is FMF. The MMF has the largest Brillouin linewidth, followed by the FMF, and the smallest is SMF. The SMF has the largest gain peak, followed by FMF, and the smallest for MMF. This work provides an important reference value for the further study of Brillouin distributed fiber optical sensors.
Design and implementation of mobile robot for epidemic nursing
Authors: Liang Long Bing , Huang Shuai Feng , Tang Li Juan , Qu Guo Qing , Song Jie , Li Yang , Yu Jia Peng , Guan Xin Yue , Jiang Qu Xin
Published: October 2020

In view of the serious infection of doctors and nurses in epidemic area, a mobile nursing robot was designed. The robot takes stm32f107 as the core, ultrasonic and infrared sensors as the sensing module, collects the obstacle signals through ultrasonic and infrared sensors, and avoids after stm32f107 processing, so as to realize the free movement of the robot. According to the genetic algorithm, the mobile nursing robot can get the best path, according to the obstacle data in the best path, using the attitude calculation method to achieve the turn. It has been proved that the combination of genetic algorithm and attitude estimation can improve the working efficiency and accuracy of mobile nursing robot.
An Improved Method for PID Control of Time-Delay Systems
Authors: Wang Zaiying , Wu Fan
Published: October 2020

The industrial systems has became more complex, because of the rapid development of industrial production. Large time-delay, time variation, and highly nonlinear have placed higher requirements on industrial control systems. Smith predicting controller is a controller specifically used for time-delay systems. It estimates the dynamic characteristics of the system’s basic disturbances in advance, and designs an estimator for compensation control, which can effectively improve the system response. But Smith predicting controller depends too much on the mathematical model of the controlled object. This paper proposed a control system based on Smith-PIDNN, which combines Smith controller with neural network PID (PIDNN), uses the neural network’s ability to simulate non-linear systems and self-learning ability, and adjusts control parameters online. And it was simulated by MATLAB software, the effectiveness of this combination method was proved.
A Study on Positioning Algorithm for the Abnormal Temperature Area of Cotton Warehouses Based on Infrared Temperature Measurement and Visible Light Fusion
Authors: Zhao Xinran , Pan Yao , Zhang Xuxu
Published: October 2020

Aiming at the positioning problem in the fire emergency response of cotton warehouses, a positioning algorithm for the abnormal temperature area in cotton warehouses is proposed in this paper based on infrared temperature measurement and visible light fusion. This study combines image data fusion, temperature, and gas sensor data to detect the abnormal temperature area, and positions the spatial three-dimensional point through camera calibration and pose estimation, to achieve early warning and emergency response of cotton warehouses. The experiments show that this algorithm can effectively achieve the positioning of the abnormal temperature area.
Research on GPS Data Frame Analysis
Authors: Yang Xusheng
Published: October 2020

With the continuous development of GPS positioning technology and the popularization of applications, more and more GPS receivers emerge at the right moment. UM220-III supports big dipper / GPS, higher integration, excellent positioning timing function, high sensitivity design. In this paper, a low cost GPS positioning system based on STM8S is proposed, which analyzes the GPS data frame and has high positioning accuracy, the positioning information and the position accuracy factor of the observation point both obtain higher positioning accuracy.
Analysis of the influence of tool radius on single crystal silicon cutting process based on Molecular dynamics
Authors: Lai Lianfeng , Niu Qinchuan , Li Minglin
Published: October 2020

In this paper, a molecular dynamics method is used to construct a simulation model for cutting single crystal silicon with a tool. Through the analysis of phase transition, instantaneous atomic position, temperature, Wigner-Seitz defect and other variables, the influence of tool radius on material deformation is studied. The results show that in the process of cutting single crystal silicon, the contact area between the cutting edge and the single crystal silicon workpiece is the main area of cutting heat generation, and the phase change process from the atomic crystalline state to the amorphous state is reflected in the cutting process of different tool radii The difference is that the amorphous atoms are removed in the form of chips during the cutting process of the sharp-angle tool, while the amorphous atoms are further compressed directly under the tool in the round-angle tool, causing subsurface damage. The chip removal mechanism of sharp tools is shear, and the chip removal mechanism of round tools is shear and extrusion. As the radius of the tool increases, the more atoms are compressed directly below the tool, the worse the surface quality of the machined surface.
An Improved BEMD Method for Denoising the Phase-OTDR Signal
Authors: Hao Wei , Yu Jin , Hu Yanzhu , Wang Song
Published: October 2020

Empirical mode decomposition (EMD) is often used for the processing of non-linear and non-stationary signals, but it needs further improvement in some specific application scenarios. According to the characteristics of Phase-OTDR signal, this paper improves the two-dimensional empirical mode (BEMD) and uses it to denoise the Phase-OTDR signal. The improved method takes into account the inconsistency of the correlation between the time axis and the space axis, and uses the spatial resolution of the Phase-OTDR signal as the minimum interval to enter the envelope surface structure. At the same time, the boundary is smoothed during the reconstruction of the sub-envelope surface. Experiments on the noisy Phase-OTDR signal verified the effectiveness of the improved method in this paper.
Analysis of Halbach Permanent Magnet Array with Convex Type Section
Authors: Song Ningran , Zhou Guangxu , Zhu Mengmei , Mu Yongyun , Zhang Ke , Zhang Zhan , Gong Shilei , Ma Jianhui , Gao Jia
Published: October 2020

This paper proposes Halbach permanent magnet arrays with convex type section. The magnetic field is modeled according to Ampere’s hypothesis of molecular current. Based on the model, the fundamental component of the magnetic flux density and the sinusoidal distortion rate are selected as evaluation indexes. Compared with these of Halbach permanent magnet array with normal square section, the Halbach permanent magnet arrays with specific configuration own better performance, which provide direction for further optimization.
The Design and Simulation of Dual-band Beidou Navigation Receiver LNA
Authors: Liu Jinchang , Liao Baoquan , Ma Zhonggang , Ma Sheng , Gao Ping , Yang Huawei
Published: October 2020

The Beidou satellite navigation receiver requires receiving multi-band signals to ensure more accurate and reliable positioning and navigation. According to the working frequency bands B3I and L1 of the system, we propose a low-noise amplifier which is based on Infineon’s BFP740FESD transistor. We employ the ADS software to simulate and optimize the low-noise amplifier input, and adopt the conjugate matching two-stage amplifier circuit. The simulation results show that the gain Gain ≧ 30dB in the L1 and B3 dual frequency band, the input and output standing wave ratio VSWR < 1.5, the noise coefficient < 1.0dB, and the out-of-band suppression is more than -40dB, which effectively reduces the out-of-band noise interference.
Fault Diagnosis of Composite Features Rolling Bearing Based on Variational Mode Decomposition
Authors: Yuan Yi , Zhang Min , Li Xiaojun
Published: October 2020

In order to extract the vibration signal feature of rolling bearing with non-steady feature and improve the fault diagnosis rate accurately and stably, a variational mode decomposition (VMD) feature extraction method is proposed. Particle swarm optimization (PSO) is used to optimize the parameters of support vector machine to construct a fault diagnosis model to achieve fault diagnosis of rolling bearings. Firstly, change the modal decomposition of the known fault signal under the same load to get the modal function, and the modal function is further extracted by the singular value decomposition. The time domain, frequency domain feature and modal feature of the original signal are extracted. Constructing hybrid features to achieve efficient fault feature extraction. Optimizing SVM parameters through PSO algorithm to construct fault diagnosis models to achieve efficient fault diagnosis. Finally, by comparing with EMD-based feature extraction methods in the same load, the method shows better classification performance and the overall fault recognition rate remains above 99.17%, which verifies the reliability and effectiveness of the method.
Optimization Design of Shaper Mechanism Based on Nonlinear Programming Model
Authors: Wu Shibao , Chen Guanxu , Ma Jia , Gao Jing
Published: October 2020

Due to the lack of the optimization algorithm or model which could be used to optimize the complicated plane linkage mechanism (like a shaper mechanism), a nonlinear programming model which could solve this problem was proposed in this work, whose objective function was the minimum initial velocity of the cutting tool in the shaper mechanism, and the length of the linkages in the shaper mechanism was regarded as the constraint conditions. Subsequently, a typical shaper mechanism was chosen as the example to be optimized via this nonlinear programming model. The optimization results revealed that this model could acquire an appropriate optimization scheme effectively and the optimization scheme was reasonable.
An Indoor Geolocation Algorithm based on CSI and Affine Propagation Clustering
Authors: Liu Lei , Zhang Shuwei
Published: October 2020

An indoor geolocation algorithm based on WLAN CSI and affine propagation clustering is proposed in this paper. In this algorithm, the wireless network adaptor Intel 5300 and 802.11n CSI Tools is used to collect the CSI data, and the PCA algorithm is used to reduce the dimension of the CSI data from 30 to 3, based on which the CSI fingerprint database is established. And the affine propagation clustering algorithm is used to group the reference nodes into clusters and then the WKNN is adopted to realize precise indoor geolocation. Experiment results show that the algorithm in this paper has a better performance in the location accuracy, 74% of the testing results has the accuracy of 1m, and 95% of the testing results has the accuracy of 2m.
Research on pure electric vehicle driving motor
Authors: Song Shuang , Sun Chao , Zheng Cong , Song Guicui
Published: October 2020

The current promotion of new energy vehicles, These include fuel cell vehicles, pure electric vehicles and plug-in hybrids. “Pure electric cars” are no stranger to today’s people, It has many advantages, Such as good acceleration performance, high power, environmental protection and energy saving, It is very much in line with the changing demands of The Times for transportation modes. Because of the significant environmental and energy savings, In particular, there is no direct discharge of air pollutants during use. So there’s a big push at the national level. In order to optimize the performance of the driving motor system of pure electric vehicles, Improve its efficiency, improve its structural design, Further research on vehicle driving motor.
Research on Image Recognition Algorithm Technology for Power Line Business Audit
Authors: Mao Qianqian , Pan Zheqiong , Si Dongmei , Kong Xufeng
Published: October 2020

The development of electric power business is not only limited to the on-site office of the business hall, but also can be carried out on the mobile Internet. At present, the power supply company’s review of business such as name change, transfer, reclassification-peak shaving, etc., because customers use different methods to handle business, Resulting in a wide variety of certificate pictures, which caused great trouble to the staff. This paper studies an image recognition algorithm that can be applied to power business audits, can accurately identify various types of certificate images, and automates the overall business process. Implementation provides preparation. Users can use the mobile phone APP and computer network to handle all the business processes of electricity business online, know the main items of each link, the materials that should be provided, and the various procedures that should be handled, etc., electricity customers do not have to go out, just log on to the Internet All business can be handled well, which greatly facilitates the efficiency of users in handling various power businesses and saves time very convenient.
Predicting Metamorphic Relations Based on Path Features
Authors: Zhang Hanyue , Liu Lei , Zhang Peng
Published: October 2020

Metamorphic test has been proposed to effectively solve the oracle problem, but the most of the existing metamorphic relations are difficult to reuse, which leads to a large cost of in the metamorphic test. In order to improve the efficiency of the metamorphic test and solve the problem of low reuse rate of metamorphic relations, based on the common set of metamorphic relations in scientific computing programs and execution path, we propose a novel string feature with a new extraction method. Then, this feature can be used to train support vector machine to decide the metamorphic relations for test. At last, we construct a various of experiments, and the experiments results show that our method can effectively predict the satisfaction of the input features for the metamorphic relations.
Study of A designed and experimental multi-beam antennas based on Spoof Surface Plasmon Polaritors structure
Authors: Liu Tianyi , Chen Ziqi , Xu Jikai
Published: October 2020

The new type of artificial electromagnetic two-dimensional surface consists of an array of subwavelength unit structures arranged according to the periodicity of the dispersion curve. It has a significant role in regulating electromagnetic waves, and it has become one of the hot topics in the field of information. In this paper, the Spoof Surface Plasmon Polaritons (SSPPs) are regulated and applied to the wireless millimeter-wave base station communication. It has the characteristics of low profile, low cost, high isolation, broadband, and high gain. As a proof of concept, the antenna array is designed, simulated, processed and measured. The dual-beam adaptive antenna based on SSPPs at 10 GHz. The experimental results are in good agreement with numerical simulations. The proposed antenna has promising applications on planar wireless communication devices, such as multi-beam antennas, beam-scanning antennas, and wave controllers.
Model on Selection of Shells for Gun to Fire on Ground Target Based on Probability Ranking Decision
Authors: Hu Jiang , Sun Dongyan
Published: October 2020

During gun firing on ground target, because the ammunition consumption is large, it is necessary to select shells in the light of effectiveness-cost. In order to solve the problem of selecting shells, this paper puts forward analysis method of firing effectiveness-cost firstly. Then by using the calculation model of probability ranking decision, we can select appropriate shells by comparing average value of effectiveness-cost expectation extremum. This provides reference for user of gun to make decision during firing on ground target.
Research on BP model optimization of PSO algorithm based on Computational Mathematics
Authors: Wang Pin , Gao Yuefei
Published: October 2020

Construction of the quality and safety evaluation model for dairy products is significant to ensure food safety for people. In the case that there is a big error in the BP neural network quality and safety evaluation model for dairy products, this paper put forward the optimization method based on the PSO algorithm to reduce the output error of the BP neural network evaluation model through optimizing the weights and thresholds of BP neural network. By simulation of optimizing the BP evaluation model through specific data, experiments showed that compared with the standard BP evaluation model and standard BP evaluation, the optimized BP evaluation model is greatly improved in output error.
Model of Colour Value and Substance Concentration Based on Ridge Regression
Authors: Ling Zhonghua , Gao Yushan , Duan Luling
Published: October 2020

Based on the data of colour value and substance concentration, the quantitative relationship between colour reading and substance concentration in digital photos is studied in this paper. Correlation coefficient, variance inflation factor (VIF) and condition indices are used to analyse the collinearity of variables, and the regression model of colour value and material concentration of digital photos is established by ridge regression method. The ridge trace shows that the least square regression coefficient is very unstable at high collinearity. As the bias parameter increases from 0 to 0.0477, the ridge regression coefficient becomes stabilized and the model’s coefficient of determination does not decrease significantly. The maximum VIF (k) is 3.5161 (less than 10), which indicates that the coefficients of the model constructed by the ridge regression method is more robust, and the prediction effect of the model is better than that estimated by the least square method.
Numerical Prediction of the Hydrofoil Noise
Authors: He Xiaohui , Liu Zhongle , Wang Xianyong , Yuan Zhiyong
Published: October 2020

Using the improved Sauer cavitation model and K-FWH acoustic model proposed by Yang Qiongfang to numerically calculate the unsteady cavitation flow field of NACA0015 three-dimensional hydrofoil, the noise of the three-dimensional hydrofoil was calculated, and the cavitation process and cavitation noise of the hydrofoil were numerically predicted. The results demonstrate that the hydrofoil cavitation shows distinctive characteristics of pulsation and periodicity. The main cause of formation and detachment of cavitation bubbles is the reverse jet nearby the hydrofoil wall due to eddies. By analyzing the sound pressure pulsation characteristics of each monitoring point, it can be concluded that the noise transmission in the leading edge of the hydrofoil is consistent with the direction of the mainstream, no reverse transmission. In the development process of cavitation, the noise signals in cavitation area tend to be superimposed downstream. When the signals transmit to the flowing area at the trailing edge of the hydrofoil, they gradually attenuate until being exhausted.
Method for Detecting Surface Defects of Ceramic Tableware Based on Deep Learning
Authors: Ye Shuo , Sun Lingzhen
Published: October 2020

In view of the advantages of simple and high-precision detection methods for surface defects of ceramic tableware based on machine vision, the various links involved in such methods are reviewed. First, it summarizes the various imaging methods and common defect types on the surface of ceramic tableware; secondly, introduces and analyses the existing detection methods according to different mathematical modelling ideas; finally, summarizes the content the future research on the detection method of surface defects of ceramic tableware is prospected. It can be seen that the surface defect detection method of ceramic tableware based on machine vision has made great progress, but there is still room for improvement in the design of feature extraction algorithms, such as the feature extraction algorithm based on deep neural networks.
Research on Modeling of New Energy Power Plant Interface Characteristics Based on Computer Power Flow Calculation Model
Authors: Wang Yanan
Published: October 2020

In view of the adverse effects of wind power and photovoltaics as the representative of new energy power stations’ active power output fluctuations on the security and stability of the grid, a solution to smooth the active power output of intermittent power sources using energy storage systems is presented. In this paper, the boundary coordination equation in the form of implicit function is used to model the coordinated solution of dynamic power flow equations in the whole network. This model can uniformly consider the reasonable distribution of boundary node power balance and unbalanced power among the district grids.
Improved Wavelet Packet Energy Spectrum Feature Extraction Method of MFL Detection Signal
Authors: Song Zhiqiang , Zhang Ying
Published: October 2020

Wavelet packet energy spectrum method is an effective signal processing method to extract the features of magnetic flux leakage (MFL) detection signals, which has been widely used. However, sometimes the features of MFL detection signals in the high frequency band are not obvious, and their spectrum changes are very scattered, so it is difficult to extract the features. The improved wavelet packet energy spectrum and Wigner-Ville Transform (WVT) algorithm is a signal analysis algorithm based on continuous wavelet transform and discrete wavelet transform, which matches WVT. In the process of signal processing, the eigenvalues to be extracted are defined in the form of energy spectrum, and the recognition and extraction of eigenvalues are transformed into the corresponding signal eigenvalue energy recognition and extraction, so as to improve the accuracy of high step signal feature of MFL detection signal.
ResSCNN: A semantic segmentation method for fast processing of large-scale input
Authors: Yu Haoyang , Xu Siyuan , Su Wenliang , Xiao Zihan , Yang Jie , Mu Jiong
Published: October 2020

With the development of driver-assistance systems and driverless cars, vehicles are becoming more and more intelligent. However, today’s intelligent vehicles rely more on large sensors to sense the environment, so it is becoming more and more important for vehicles to be able to understand road information, and semantic segmentation has developed greatly. We find that the current mainstream semantic segmentation model is slow and inaccurate in the case of large scale input images. In this paper, we combine the large-scale input Fast-SCNN with the residual module to construct the residual semantic segmentation convolutional neural network (ResSCNN), after the experimental test, when the input scale is 1024 × 2048 px, yielding an accuracy of 68.4% mean intersection over union at 123.1 frames per second on Cityscapes dateset. Our network has achieved better results than the previous mainstream methods.
Research on Video-based Moving Vehicle Detection Technology
Authors: Ma Lei , Qiao Qiao , Huang Lingxiao , Xu Weichang , Niu Wanhong
Published: October 2020

Moving vehicle detection technology has been used more and more widely in monitoring traffic conditions such as vehicle flow, vehicle speed, traffic accidents, and escape from violations. The most commonly used methods of moving vehicle detection technology include the inter-frame difference method, the background difference method, and the optical flow method. The inter-frame difference method subtracts the images of two or three adjacent frames, the pixel whose brightness change does not exceed the threshold value is considered as the background, and the pixel whose brightness change exceeds the threshold value is considered as the foreground; The background difference method uses a difference comparison between the current image and the background model to realize the moving vehicle detection; The optical flow method is to construct an optical flow field by changing the brightness value of each pixel point in an adjacent frame in a video image, and realize the detection of a moving vehicle through a moving field of the moving vehicle. The frame difference method can detect the contour edge information of a moving vehicle, and the detection result is less noisy; the background difference method can detect a more complete moving vehicle, including not only the contour information of the moving vehicle, but also the connected area inside the moving vehicle; The optical flow method can detect moving vehicles, but can only obtain the contour edge information of moving vehicles, and there are large voids in the interior of moving vehicles. In short, these methods can realize the detection of moving vehicles, but there are still some problems. With the research and implementation of improved algorithms, the detection technology of moving vehicles will be more and more widely used.
Multiple-instance Learning based on Bernoulli Mixture Model
Authors: Yang Lilin , Wu Wei
Published: October 2020

Multiple-instance learning (MIL) is a form of weakly supervised learning. Its instances are arranged in groups (called bags), and labels are provided for the entire bag after training. The classic MIL method represents examples with pre-calculated features, and the classification process is also cumbersome. In this paper, we use neural networks to extract features, parameterize all transformations, and use Bernoulli mixture model to construct MIL models for baggage tags, using simpler network structures and more accurately solving these problems. Experiments show that our results can be competitive with the classical MIL algorithm on the MINST dataset.
Real-time License plate number detection based on image contour
Authors: Li Xingxing
Published: October 2020

The license plate number detection technology is an application of computer video image recognition technology in vehicle license plate recognition. In this paper, an image processing technology is used to extract and detect a license plate in motion from a complex background to a license plate recognition system. The method in this paper is mainly divided into four steps. First, the original image is preprocessed, the color image is converted into a grayscale image, and the gradient edge features are extracted by Sobel operator. Secondly, after the image is binarized, the image generated through the morphological operation of the image to highlight the image outline. Then detect the contour of the entire image and label the contour. Finally, the RGB space is converted into the HSV color space through color space conversion, and the color of the license plate is used to find the area where the license plate is located in the image.
Design of cancer classification and visualization platform based on Internet big data
Authors: Xu Yipeng , Zhang Zhixiao , Liu Min
Published: October 2020

With the development of Internet technology, Internet technology is widely used in the medical industry. Based on the medical Internet big data, using visualization, data mining and other technologies, combined with distributed crawler, HTTP data transmission technology, vue2 front-end framework and the application of visualization technology, this paper completed the development and design of the analysis platform based on the internet medical big data. From the three aspects of presentation layer, business logic layer and data access layer, the architecture can show the number of hospitals, the proportion of doctors, the number of departments, the hospital’s praise, poor evaluation and other information. Then, the cancer big data classification model based on the new bionic optimization algorithm is established. The experimental results show that the method has high classification accuracy and speed. In the era of big data, the integration of early diagnosis and treatment of cancer resources and information construction is very necessary and has far-reaching significance.
Research on Key Technologies of Multi-rotor UAV High-precision Positioning and Navigation System
Authors: Cao Yu , Zhang Xiaofeng , Huang Xiangjie , Wang Fei
Published: October 2020

For the continuous high-precision navigation and positioning needs of rotorcraft UAVs based on industry applications, based on low-cost GNSS single-frequency positioning modules and MEMS inertial navigation, the design high-precision GNSS / INS integrated navigation module. At the same time using computer vision algorithms. Aiming at the requirement of high precision, the original data acquisition scheme that fully guarantees the accuracy of MEMS inertial navigation is designed. No one against the rotor for the high-frequency vibration problem of the mobile platform, the effect of IMU white noise parameters on the performance of MEMS inertial navigation and integrated navigation was analysed. The test results show that the IMU white noise parameters can effectively improve the combined navigation performance under high-frequency vibration conditions; the positioning accuracy of the module can reach centimetre level and be continuous and stable.
Research on Data Management of Marine Disaster Mitigation Based on Big Data
Authors: Chen Chen , Liu Xunan , Zhang Yao , Tong Rui
Published: October 2020

With the explosive growth of ocean data, ocean big data has received more and more attention. It mainly analyzes and summarizes the current research status and key technologies of ocean big data, and focuses on the examples of machine learning model prediction research in ocean big data. With the advancement of 3S technology, China’s marine monitoring network has achieved all-round development, including air, ground, and sea monitoring platforms, which has promoted the rapid growth of marine big data from the original GB and TB levels to PB levels. Taking the typhoon disaster search and situation display implementation as an example, the thesis has preliminarily completed the realization and application of the intelligent ocean search engine. Combined with the design of typhoon disaster search and the overall structure and function design of the situation display, module development was carried out, and the development was initially completed to realize the business data management of marine typhoon disaster mitigation based on big data.
Research on Key Technologies of Data Warehouse Construction in Unified Data Center in Electric Power Enterprises
Authors: Li Ting , Fu Ting , Hong Chen , Li Jinhu , Lin Haiyu , Lin Han
Published: October 2020

On the basis of studying the existing problems of power enterprise informatization at this stage, the paper introduces the application of data warehouse technology in power system, proposes to use enterprise-level data warehouse as the data centre, and describes the information of power enterprise based on data warehouse strategy The overall design of the system model; Finally, specific solutions and application examples are given for the design of the dimensional model of the power enterprise data warehouse.
Research on Unstructured Data Processing Technology in Executing Audit Based on Big Data Budget
Authors: Hou Benzhong , Zhang Yongqiang , Shang Ying , Liang Xin , Liu Tiantian , Su Jiangwen
Published: October 2020

The wave of big data has promoted the transformation of auditing technology, which has brought about tremendous changes to auditing models and auditing methods. The traditional audit data analysis methods cannot analyze semi-structured and unstructured data, nor can they meet the requirements of the development of audit informatization in the context of big data. New ideas and methods for audit data analysis are urgently needed. In this context, the article proposes an audit data analysis framework based on text mining, and describes the detailed audit data analysis process of collecting and storing, mining and analysing, summarizing and publishing. By using text mining technology to mine the unstructured original audit data collected, different text mining models are established according to the clear audit requirements, the audit data is analysed, and then audit doubts are found, and ultimately formable audit evidence and audit trail. The construction of the framework aims to provide new ideas for big data audits to reduce the risk of big data audits and improve audit quality.
Development and Classification of Computer Software Testing Technology
Authors: Pi Chenchen
Published: October 2020

With the rapid development of computer technology, software is more and more used by people, but serious economic losses caused by software errors also occur from time to time, so the quality and reliability of software have become issues that must be paid attention to at present. Software testing, as the only method to verify whether the software can complete its function, has attracted people’s attention. Based on this, this article has studied the development and classification of computer software testing technology. First, it gives an overview of software testing, introduces the definition, purpose, principles, and processes. Then analyzes the development of software testing technology, including its development process, current status, and future development trends, and finally classifies software testing from three aspects. This article has a certain significance for comprehensive understanding of software testing.
Research of speed measurement and prediction system for railway train based on single chip microcomputer
Authors: Zhang GuangCai , Guo Lei , Liu Yuting , Gao Xiuqian , Wang Zhihao , Wang Zhanshan , Wu Xiaoguang
Published: October 2020

The main content of this research is how to know the speed, location and arrival time of the rail train, and provide the information for passengers to take the rail train. Because urban rail transit is built in the underground environment, there will be some limitations in the selection of speed measurement and positioning methods for rail trains. This research is based on the actual situation, using the hardware system based on the single chip microcomputer as the vehicle equipment, real-time speed measurement, positioning and prediction of the rail train. Provide effective data information for train operation, dispatching and passengers’ taking.
Simulation of Switching Operation Based on Virtual Reality Method
Authors: Li Xianqi , Zhang Junwei , Cheng Jiankun , Luo Qiang
Published: October 2020

Misoperation of power system switching causes many equipment failures and personal injuries every year. The switching operation simulation system is an important “five prevention” measure to ensure the correctness of operation tickets and prevent electrical misoperation. Based on the virtual reality method, the paper discusses the application of 3D simulation technology in high and low voltage trip operation, and analyses the function, structure and main technical scheme of 3D simulation training system for high and low voltage trip operation according to the particularity of standardized operation training. Finally, the idea of the future development of the three-dimensional simulation training system for high and low voltage trip operation is put forward.