bluuebunny/crossref_metadata_2025_split huggingface dataset:
Controlling the Vibration Amplitude of a System with a Piezoelectric Element by Applying an Electric Voltage to it
Authors: Oshmarin Dmitrii A , Iurlov Maksim A , Iurlova Nataliia A , Sevodina Natalia V 
Published: June 2021

Abstract
The article is devoted to the study of the mechanical response of an electro-viscoelastic structure if an electric voltage with given characteristics supplied to a piezoelectric element attached to the surface of the structure. A cantilever plate made of a viscoelastic material is considered as a structure under study. The amplitude of displacements of the free end of the plate in resonance modes occurring at forced steady-state vibrations is considered as the mechanical response. Excitation of vibrations is realized by a harmonic movement applied to the clamped end of the plate. The control of the mechanical response within the framework of this work is supposed to be performed by supplying an electric signal to the piezoelectric element. This signal changes harmonically and has the form of a potential difference which changes according to a harmonic law. The magnitude of the vibration amplitude of the structure is determined numerically by the finite element method implemented in the ANSYS software package. The viscoelastic properties of the plate material are described according to the relations of hereditary theory of viscoelasticity in terms of complex dynamic moduli. Within the framework of this work, the relations between the mechanical response of the structure and the magnitude and polarity of the electric voltage applied to the piezoelectric element were obtained. It is shown that by a proper selection of the characteristics of the electric voltage, it is possible to control the magnitude of the amplitude of forced steady-state vibrations.
The Action of an Electromagnetic Force on an Elongated Inclusion in an Electrically Conductive Liquid
Authors: Ozernykh Vladimir S , Kolesnichenko Ilya V 
Published: June 2021

Abstract
The impact on the molten metal with electromagnetic forces makes it possible to create specific flows in the metal, which, in turn, are able to concentrate particles of inclusions in a given area, from where they can be removed mechanically. In this case, it is important to determine the shape of the inclusions, which will provide the best efficiency of impact on them with electromagnetic forces. The use of such an effect is possible in the process of crystallization (transfer of partially crystallized small regions of the metal), as well as during the separation of impurities from liquid metals using electromagnetic forces.
The work is devoted to a numerical study of the features of the effect of electromagnetic forces on inclusions (in shape that differs from spherical) in an electrically conductive medium.
On Malleability of Rhenium at Room Temperature
Authors: Panfilov Peter , Zaytsev Dmitry , Panfilov Gleb P. , Milenina Irina , Yermakov Alexander 
Published: June 2021

Abstract
The problem of the malleability of rhenium at room temperature is discussed. It has shown that rhenium manufactured by the mean of the electron beam melting is able to the mechanical treatment by rolling at room temperature. The primary condition for mechanical treatment is the minor share of the tensile stress in the processing scheme. It suppresses the grain boundary sliding in a coarse-grained workpiece of this refractory HCP-metal.
Experimental Study of the Flow Structure Stability on the Bubble Surface
Authors: Shmyrova Anastasia , Shmyrov Andrey 
Published: June 2021

Abstract
The results of the flow structure visualization experiments conducted on the surface of a single bubble streamlined by uniform flow are presented. It is shown that, at certain critical values for bubble size, flow velocity, and contamination level, the axial symmetry of the surface flow loses its stability in a threshold manner, and the first instability mode in the form of two vortices appears. Below the threshold, the stationary flow on the bubble surface is impossible. The experimental results indicate that the assumption about the axial symmetry of the motion on the bubble surface containing surfactants, which is used in most theoretical and numerical studies, is invalid. Analysis of the results has revealed the most likely reason for the spiral form of the trajectory in the problem of a small rising bubble in the surrounding fluid. For the surfactant-free surface realized in the experiments with isopropyl alcohol, the rising trajectory was a straight line, and no vortex structures were observed on the bubble surface. In the experiments with water, a spiral rising trajectory was observed, and the first instability mode was formed on the bubble surface.
Pulse Related Changes in Electrical Impedance of Blood Vessels: Physical, Experimental and Modelling Aspects
Authors: Zuev A L , Shakirov N N , Sudakov A I , Ju Mishlanov V 
Published: June 2021

Abstract
The paper presents the results of studies directed toward the determination of physical mechanisms and causal factors responsible for variations in the electrical impedance of the cardiovascular system. Experiments were carried out using the original hydrodynamic apparatus modelling different hemodynamic conditions, i.e., a pulsatile flow in a blood vessel of variable diameter, ramified pulmonary blood flows and the function of a cardiac valve. Computer-assisted signal processing techniques provided measurements of the active and capacitive components of the electrical conductivity with an error not exceeding 0.1%. Impedance values were analyzed for different vessel size and geometry, flow rate, temperature, concentration of ionic and dielectric components in some model biological fluids at different frequencies of the probing alternating current. It has been found that bioimpedance oscillations can be mainly attributed to the local modulations of the diameter of blood vessels such as the function of cardiac valves.
Artificial Intelligence Vision Based on Computer Digital Technology in 3D Image Colour Processing
Authors: Zhang Tianshuang , Ma Yunfeng 
Published: June 2021

Abstract
Based on computer digital technology, the paper first uses the method of non-equal interval quantization to quantize the pixels in the 3D image, and introduces the artificial intelligence vision technology HSV colour space to construct the feature vector formula after non-equal interval quantization to calculate the difference between the two images the final distance between. Experiments have shown that the algorithm has better robustness to changes in light intensity while maintaining the lower number of quantized bins in the Tahoun algorithm. At the same time, the algorithm can effectively reduce 3D colours, with better visual effects, and better than the original. The interference of images with large differences on the search results improves the recall rate of the image library used in the experiment.
Train the Neural Network by Abstract Images
Authors: Yang Liqun , Liu Yan , Zeng Wei , Yang Yijun 
Published: June 2021

Abstract
Like the textbook for students’ learning, the training data plays a significant role in the network’s training. In most cases, people intend to use big-data to train the network, which leads to two problems. Firstly, the knowledge learned by the network is out of control. Secondly, the space occupation of big-data is huge. In this paper, we use the concepts-based knowledge visualization [33] to visualize the knowledge learned by the model. Based on the observation results and information theory, we make three conjectures about the key information provided by the dataset. Finally, we use experiments to prove that the artificial abstracted data can be used in networks’ training, which can solve the problem mentioned above. The experiment is designed based on Mask-RCNN, which is used to detect and classify three typical human poses on the construction site.
An Improved Fully Convolutional Network for Semantic Segmentation
Authors: Wang Gaihua , Wan Xizhou , Zheng Xu , Guo Zhao 
Published: June 2021

Abstract
A novel loss function based on category distribution for semantic segmentation is proposed in this paper. The new loss function is composed of two parts: (1) Pixel-wise cross-entropy. (2) Category distribution loss proposed. Most of existing semantic segmentation networks adopt a single pixel-wise cross-entropy loss function, which guides the network to independently predict the class each pixel belongs to. The downside is that ignoring global information of the image -- the distribution of all kinds of objects in the image, resulting in an unsatisfactory segmentation result. Category distribution loss proposed in this paper obtins category distribution information of the whole image by calculating the percentage of pixels to each class of objets. Acquired category distribution information can be represented as a feature vector, the distance of two vectors between prediction and ground truth forms category distribution loss. The new loss function measures the difference between pixels as well as the difference between global information. We apply the new loss to several classical networks, its pixel accuracy and mIoU accuracy on two benchmark datasets CamVid and Pascal VOC2012 are improved compared to using only pixel-wise cross-entropy. In addition, we also introduced the attention mechanism, which proved to be able to improve segmentation accuracy of the networks as well.
Research and application of cable pipeline robot for underground pipeline 3D simulation technology
Authors: Li Qian , Fang Yongyi , Liu Baoan , Xing Kun , Wang Lijun , Qian Hengjian 
Published: June 2021

Abstract
In this paper, an underground cable intelligent pipeline detection robot is designed for the collection of pipeline position information. First of all, its mechanical structure is developed. In addition, the research of operation control algorithm is discussed. Finally, the digital image and pipeline space coordinate acquisition and communication methods are studied. In the design stage, the design scheme of each module is first determined and researched, designed and improved; then the integration and verification are carried out; finally, the field test and improvement are carried out; the prototype is produced and operated after meeting the conditions of trial operation, and the operation data are actively collected for improvement and improvement.
Research on Ship Arrival Law Based on Route Matching and Deep Learning
Authors: Pan Nian , Ding Yan , Fu Jia , Wang Jiwei , Zheng Hao 
Published: June 2021

Abstract
Maritime transportation has always been the most important mode of transportation in international trade. With the deepening development of economic globalization, the scale of international trade, which is the core content of economic globalization, is also expanding, and the shipping industry is also developing greatly. In this paper, aiming at improving the operation efficiency of container terminals, AIS data is used as the research basis to predict the arrival time of ships and reduce the uncertainty of arrival time of ships, so as to provide support for the construction of smart ports. The transitive closure method based on equivalence relation is used to fuzzy cluster the routes to be matched and the historical routes used for matching, and the optimal route matching is realized by cutting set selection. At the same time, the navigation trajectory features based on AIS data are constructed, and the RNN-LSTM (Recurrent Neural Networks-Long Short-Term Memory) model is proposed by using the characteristics of deep learning and time series.The results show that the RNN-LSTM ship trajectory prediction model based on deep learning can achieve excellent prediction results and provide technical support for intelligent transportation at sea.
Research on Visual Communication Graphic Design Information System Based on Computer Simulation
Authors: Ying Yu , Yue Sun 
Published: June 2021

Abstract
The article is based on the basic theories of computer graphic image design and visual communication design, combined with the historical background, tasks, creative rules, educational methods, involved fields and thinking styles of computer visual communication design. Combining the needs of visual communication graphic design, the paper designs a graphic design visual aesthetics computer-aided analysis system based on design geometry, which realizes the import of graphic design works, the interactive segmentation and acquisition of design elements, and the analysis and judgment of the relationship between proportion and composition. And other basic functions. The system can be used to judge the visual aesthetics of design works and can also provide design support related to geometric aesthetic principles to users engaged in graphic design.
Research on Defect Classification and Detection Technology of Image Processing Collected by Computer
Authors: Luo Xiaojing , Cai Guangxing 
Published: June 2021

Abstract
The paper uses median filter computer algorithms to detect and classify machine component image defects using image processing, pattern recognition and machine vision theories. In the experiment, automatic extraction of defect images and minimization of defect images are completed to reduce processing volume and storage space requirements, and automatically determine defect categories. The article processes the collected defect images, and the experimental results prove that the method can correctly realize the detection of track surface defects and has certain applicability.
Virtual Reality Modelling of Garden Geography and Geology Based on 3D Modelling Technology
Authors: Zhang Qiumin 
Published: June 2021

Abstract
The work of 3D garden geo-geological modelling is very tedious and complicated, in order to reduce the labour intensity of the operators and improve the visualization effect of the model. This article proposes a method for 3D stratum visualization based on the combination of limited Delaunay triangulation and OpenGL. We can use the limited triangulation algorithm to generate stratum surface triangulations with any boundary shape, any size, or with multiple holes. At the same time, the paper uses OpenGL’s object picking mechanism to realize the visualization management of drilling data and human-computer interaction stratum modelling. Finally, we applied the model to garden geology, and the results showed that the system can quickly and accurately construct a three-dimensional model of the stratum. At the same time, the model realizes the three-dimensional visualization processing of garden geology.
Research on Physical Phenomenological Innovation Technology in Virtual Reality Movies
Authors: Li Moyang 
Published: June 2021

Abstract
From the perspective of physical phenomenology, the experience of the experiencer in the virtual reality space is not only achieved by external technical means. The key to the experience of the experience is the operation of the “body field“. This process involves three important roles: body space, body intentionality, and body habits. Based on phenomenological theory, virtual reality technology has been widely used in genres of science fiction, magic and other themes, making movies more appealing. Based on body phenomenology, this article discusses the application of virtual reality technology in the design mode of movie scenes.
Study on Aluminium Alloy Bumper of Benchmark Car Using LS-DYNA Simulation Analysis on In-Flight Collision
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: June 2021

Abstract
At present, aluminum bumper has been used in the field of passenger cars. In order to provide technical reference for the aluminum alloy bumper to be developed, and to better develop the aluminum alloy bumper, this project analyzes the material and process of an existing aluminum alloy bumper from the perspective of mechanical properties, material composition, and the connection method between each component. Through crushing, static pressure, collision test and simulation technology, the performance of aluminum alloy bumper of benchmarking car is analyzed.
Research on Working Target Detection of Bulldozer Based on Binocular Vision
Authors: Li Mingchun , Dong Quancheng , Xing Renpeng , Cao Shukun , Sun Xuan , Ma Changchun 
Published: June 2021

Abstract
Aiming at the problem of bad working environment of bulldozer in landfill, this paper presents a target detection method suitable for autonomous working bulldozer. Firstly, the working environment information was obtained by the binocular camera, the maximum inter-class variance method was used to remove the sky background by binarization of the image, and the color component of the ground was extracted from the HSV color space and converted into a binarization image. The absolute value of the difference between the two binarization images was the approximate area of the working target. Then the binocular camera was calibrated and the feature points were detected and matched in the target area. The parallax was obtained by triangulation principle to obtain the depth information of the target. The experimental results show that the method can correctly extract the depth information of the target area and target, and the accuracy is high, which can meet the requirements of the bulldozer in the landfill for target detection.
Research on multi-sensor data fusion algorithm for unmanned vehicles under extreme conditions
Authors: Zhang Ruiqi 
Published: June 2021

Abstract
Aiming at the problem of insufficient accuracy in Simultaneous Localization and Mapping of vehicle robot using a single sensor in extreme environment scenes, according to the characteristics of the sensors, a method of fusing the data of lidar and inertial sensors is proposed, the vehicle robot system is designed, and the positioning principle of lidar and inertial sensor is elaborated. Two data fusion algorithms, weighted fusion and Kalman filter, are mainly studied, and the experiments prove that the Kalman filter algorithm has higher positioning accuracy.
Research and Implementation of Deep Learning Counter Attack Defense Strategy
Authors: Chang Zhuonan 
Published: June 2021

Abstract
In recent years, deep learning technology has made excellent achievements in many fields, such as computer vision, natural language processing, and speech processing. More and more related applications have appeared, which has brought a lot of convenience to people’s lives. However, while deep learning performs well, it also has the flaws in being vulnerable. The attack method can make the deep learning model make wrong judgments by adding some small disturbances to the input samples. This brings huge security issues to deep learn applications At present, there have been many research results from defense against attacks. This article first analyzes a variety of classic adversarial attack methods in detail, and classifies these attack methods according to their attack scope. The differences and common points are abstract from the classification, and it is found that there are sensitive points in the counter disturbance, and the fluctuation of the sensitive points affects the classification of the deep learning model. Inspired by this, we propose a defense strategy that only filters sensitive points in the adversarial sample, avoiding the processing of non-sensitive points, reducing calculations, and improving efficiency.
Research on Improving Kinematics Equation of Traditional Orbit Parameters Based on Orbital Dynamics
Authors: Gong Yanxiang 
Published: June 2021

Abstract
Complex space missions have higher and higher requirements for orbit representation, orbit prediction and orbit control. Traditional orbit parameters have many shortcomings in orbit representation and orbit extrapolation. From the point of view of improving the shortcomings of traditional orbital parameters, this paper analyzes several groups of orbital parameters including unit quaternions. Based on a group of quaternion orbital elements composed of unit quaternion and vector parameters such as radial distance, radial velocity and angular momentum, the orbital dynamics and kinematics equations are derived, and the transformation relationship between quaternion orbital elements and traditional orbital parameters is given. The simulation example proves the effectiveness of improving the traditional kinematic equation method of orbit parameters.
Application of Satellite Remote Sensing Technology on Electrified Railway Network Greening Engineering
Authors: Zhou Hang , Cao Tingting 
Published: June 2021

Abstract
As the awareness of development of ecological civilization continues to strengthened, public expectations for landscape greening along the railway have gradually increased. The railway landscape greening has multiple functions of safety, environmental protection and aesthetics. Therefore, it is necessary to effectively combine the characteristics of the local area’s natural ecology, custom and culture. To reflect the corresponding key points in the landscape greening design process, and apply the scientific greening concept to the engineering design.
Optimal Control Method for Reconstruction of Geometric Optical Transmission Characteristic Data
Authors: Xiao Gengyi 
Published: June 2021

Abstract
Geometrical optical projection three-dimensional profile measurement has the advantages of non-contact, non-destructive, and fast data acquisition. Its measurement system is the most promising kind of macro-optical profiler. The thesis analyzes the laser light source image acquisition and image processing, designs the tomographic image reconstruction and three-dimensional image display experimental system of the imaging system, and conducts theoretical analysis of its imaging theory, imaging quality and imaging error. At the same time, the paper uses compressed sensing algorithm (CS) to reconstruct and optimize the transmission data, and realize the analysis of the transmission characteristics of geometric optics.
Technical Analysis of the Station Equipment IOT Management System
Authors: Jin Hui , He Zhixin , Liu Liping , Huang Qiang , Jia Jingkun , Chen Xiaoli 
Published: June 2021

Abstract
Traditional BAS systems in subway stations have problems such as inflexible deployment, high implementation costs, weak edge computing capabilities, and low integration, which are not conducive to the realization of convenience and intelligence. In response to the problems of the traditional BAS system, Guangzhou Railway Institute designed and applied a brand-new station equipment IOT management system. This article first analyzes the overall technology of the new system. In addition, the article also shows the hardware and software and core applications of the new system. Finally, the article describes the characteristics and main benefits of the new system.