bluuebunny/crossref_metadata_2025 huggingface dataset:
Extreme High Speed Laser Cladding 316L Coating
Authors: Qiulin Wang , Yong Li , Jinbo Zhu , Mingfu Li , Zhengxing Men
Published: July 2021

Using extreme high speed laser cladding technology, 316L coating was prepared on 45 steel shaft. The microstructure of the coating was observed by scanning electron microscope (SEM), and the wear resistance and corrosion resistance of the coating were tested. The results show that the coating prepared by the extreme high speed laser cladding technology has high surface flatness, no obvious cracks, voids and other defects, high density, good combination with the substrate, and fine grains. The middle and lower crystal grains are dendritic, which grows perpendicularly to the surface preferentially, and no obvious secondary dendrites are seen. The size of the dendrites in the lower part of the coating gradually decreases from the bottom to the top of the molten pool, and the top layer transforms to equiaxed grains. The dilution rate is 4.4%. The fine-grain strengthening mechanism improves the wear resistance of the coating, and the wear resistance is increased by about 31.8%. The wear mechanism is mainly abrasive wear. A stable chromium-rich oxide film is formed on the surface of the coating, and its corrosion resistance is greatly improved, but this film will be destroyed by highly concentration of Cl-.
Effect of laser heat input on the properties of cladding layer
Authors: Che Pengcheng , Dai Haiyan , He Huaizhi , Cheng Guangfu , Zhou Jingchao , Ren Zhiyuan
Published: July 2021

By means of optical microscope, SEM and EDS, the microstructure of laser cladding layer under 1200W laser heat input was analyzed. Through the research, the relationship between precipitate characteristics and properties of the cladding layer was studied, and failure reason was found. The results show that Co, Cr and W elements have the tendency of short-range diffusion in the surface region in Stellite 6 alloy with a jagged shape. In this area, Co-Cr-W-Fe precipitated and hardened layer formed with high hardness and abrasive resistance but a lower ductility. Meanwhile, intergranular phase M23C6 precipitated. Some parts the big temperature gradient and overheat accelerated the precipitation process, led to the incomplete fusion of dendritic crystal, crack initiation and propagation on account of the integrated factors. Some solutions were put forward to reduce the failure risk.
Research on Repair of the Damaged Circular Parts Based on the Deterministic Electrochemical Deposition Method
Authors: Li Dan , Yuan Jianhu , Shen Xinmin , Yang Fei , Zhang Xiaonan
Published: July 2021

Deterministic electrochemical deposition method are proposed and developed for the repair of the damaged circular parts, shape accuracy of which is not up to standard due to wear. The surface profiler is used to determine the morphology of the damaged parts to be repaired. On the basis of deterministic surface forming theory, the proposed electrochemical deposition technology is used to perform deterministic repair of the parts to be repaired. The repaired shaft parts are measured with a surface profiler. The experimental results show that the deterministic electrochemical deposition repair can obtain high shape accuracy and smooth surface quality, and it has strong reliability. It is effective and promising in the precise repair of the damaged circular parts. The proposed method has important application significance.
Optimization of vibration performance of range extender based on structural parameters
Authors: Yi-fan Chen , Hui-hua Feng
Published: July 2021

In this paper, the simulation model of the range extender system is established to calculate the torsional vibration performance of the shafting system, and the calculation results of the speed nonuniformity and torsional vibration amplitude are obtained. After analyzing the influence of shafting structural parameters on vibration results, the design parameters of torsional damper, flywheel, generator rotor and coupling are optimized through grouping calculation and neural network model based on optimization, so as to improve the vibration performance of shafting.
Fatigue performance test of exoskeleton leg component based on composite materials
Authors: Peng Xuefeng , Dai Zongmiao , Liu Jiasheng , Liu Huabin
Published: July 2021

In order to meet the requirements of lightweight structure design of exoskeleton robot, this paper proposes a T700 carbon fiber exoskeleton leg component based on composite material. By analyzing the function and characteristic of the leg component, a new kind of leg component combined with titanium alloy and T700 carbon fiber was designed. The fatigue performance of the new leg component was tested. The results show that no fatigue failure occurs when the leg component are repeatedly loaded 50 times in the direction of 90° and 45° and the loading force is 2000N. The failure tensile test shows that when the loading load reaches 1700N, fracture failure occurs and the connection interface is destroyed.
Parameter optimization of 7050 aluminum alloy drilling based on ABAQUS
Authors: Li Shuiping , Xu Kaifeng
Published: July 2021

For the drilling of 7050-T7450 aluminum alloy commonly used in the aerospace field, this article uses ABAQUS finite element software to establish a drilling simulation model of 7050-T7450 aluminum alloy. A simplified cutting model is created based on the actual cutting model, combined with the Johnson-Cook material constitutive equation, and then the actual drilling process is simulated. At the same time, through the use of orthogonal experiment analysis method, the influence of the four factors of tool diameter, drilling speed, feed rate and tool tip angle on the axial force and moment of twist drill is analyzed. The extremely poor method is used to determine the best cutting combination plan. According to the results of the orthogonal experiment, a multiple linear regression was performed using MATLABLE software, and a drilling model was established to obtain an empirical formula. The accuracy of the empirical formula is verified by comparing the calculation of the empirical formula with the simulation result, and it provides a reference for the actual processing.
Susceptibility to Surface Hot Shortness of a Cu-containing Steel
Authors: Wang Lei , Gu Huaizhang , Li Quan
Published: July 2021

The susceptibility to surface hot shortness of a Cu-containing low alloy steel has been investigated using high temperature treatment tests in air. The grain boundary oxidation of this steel is very serious after soaking at 1100°C for 60 minutes. The oxidation rate of grain boundary was faster than that of internal oxidation at 1100°C but the opposite phenomenon was occurred when the soaking temperature is 1200°C. The phenomenon has an important impact on the susceptibility to surface hot shortness of this steel.
Vibration transmission characteristics of complex lubricating oil pipeline system
Authors: Xingsheng Lao , Xian Gong , Lu Dai , Weijian Lyu , Wei Zhang
Published: July 2021

Considering the axial, lateral and torsional vibrations and considering the effect of Poisson coupling in the axial vibration, ignoring the effect of friction, based on the Timoshenko beam model, a dynamic model of the lubricating oil pipeline system with force and speed as variables is established. Using lubricating oil pumps and valves as vibration sources, the vibration characteristics of multi-branch lubricating oil pipeline systems including elbows are studied. The results show that due to the coupling of lubricating oil and pipeline structure, the vibration peak and peak frequency of pipeline system are significantly reduced, but the frequency lateral vibration response amplitude increases significantly at some characteristic frequency; when the pipeline support stiffness increases, the natural frequency of the pipeline increases, causing the peak frequency of pipeline vibration to shift to high frequency, and the peak frequency resolution increases.
Design of the Muzzle Coil Structure of the Missile-borne Speed Test System
Authors: Liu Bingnan , Fang Liqing , Guo Deqing
Published: July 2021

The muzzle coil structure of the missile-borne self-velocity testing system for small-caliber grenade weapons was designed, and the wire selection, current-carrying calculation and actual testing were completed. Different from the traditional external speed measurement method, the self-test speed device changes the external induction coil into an energized coil, and uses the principle of electromagnetic induction to complete the self-test speed of the missile.
Influence of composition and microstructure on the properties of PTFE/Mg reactive materials
Authors: Wu Zhouyang , Liu Jinxu , Guo Yunshu , Feng Xinya , He Chuan
Published: July 2021

To investigate the effect of composition and microstructure on the properties of PTFE/Mg reactive materials, four composition ratios were designed and eight kinds of PTFE/Mg reactive powders were prepared by ball-milling mixing and ultrasonic mixing. Subsequently, the bulk PTFE/Mg materials were obtained via cold isostatic pressing of the PTFE/Mg powders followed by vacuum sintering. The morphologies, heat of reaction and burning rates of the PTFE/Mg powders, as well as the microstructure and impact-initiated reaction characteristics of the bulk PTFE/Mg materials were comprehensively characterized. The results show that with the increase of Mg content, the properties of the materials prepared by the two mixing processes show different trends. In addition, compared to the PTFE/Mg materials prepared by ball-milling mixing, the PTFE/Mg materials prepared by ultrasonic mixing show higher heat of reaction and burning rate, and the corresponding bulk PTFE/Mg materials have more uniform microstructures and demonstrate enhanced impact-initiated reaction characteristics.
Research on the Influence of Different Paint Film Thickness Combination on Corrosion Resistance of Sandblasting Steel Plate
Authors: Zhang Huayuan , Xue Bing , Wang Can , Yue Yongyong , Luo Jing , Yan Ran
Published: July 2021

To guide the selection of paint film thickness scheme with high cost performance when spraying sandblasting steel plate. In this paper, we sprayed different film thickness with the combination of primer and topcoat on the sandblasting steel plate. The corrosion resistance was evaluated by neutral salt spray test and electrochemical test of different film thickness combinations. In addition, the corrosion morphology was analyzed by automatic inverted metallographic microscope. Furthermore, potentiodynamic polarization and electrochemical impedance (EIS) curves were used to analyze the corrosion mechanism. The self-corrosive current density (Icorr) is 1.999 × 10-12 A·cm-2 with the combination of primer and topcoat thickness (20 μm+20 μm) and the self-corrosive current density (Icorr) of low carbon steel matrix is 1.855 × 10-5 A·cm-2 from the analysis of polarization curves from kinetic potential. The impedance value on 0.01 Hz (|Z|0.01Hz) (4.56 × 1010 Ω·cm2) of the combination of primer and topcoat thickness (20 μm+20 μm) after immersing in 3.5 wt. % NaCl for 2 hours was more than eight orders of magnitude higher than the value (|Z|0.01Hz 6.52 × 102 Ω·cm2) of the low carbon steel plate after immersing for 0.5 hours. Even dipping in 3.5 wt. % NaCl for 168 hours, the |Z|0.01Hz value of the combination of primer and topcoat thickness (20 μm+20 μm) was still three order of magnitude higher than the low carbon steel plate with 0.5 hours immersion. Increasing the film thickness of the topcoat can improve the anticorrosion performance under the condition of a certain thickness of the primer. However, too thick coating will generally bring greater internal stress, which leads to the cracking of the coating in the process of use because of the change of external force and temperature, thus affecting the anticorrosion performance. When the total film thickness is certain, with the increase of the proportion of primer increase of the proportion of primer film.
Springback behaviors of tube numerical control bending under different geometrical parameters
Authors: Fang Jun , Lu Shiqiang , Wang Kelu , Liang Chuang , Min Xuguang
Published: July 2021

To realize the accuracy forming of diverse bent tubular components, the influences of geometrical parameters including the bending angle θ, the relative bending radius R/D, the outside diameter of tube D and the wall thickness of tube t on springback behaviors of high strength TA18 tube in numerical control (NC) bending are explored by finite element (FE) numerical simulation method. The results show that with increasing the θ or the R/D, the springback angle linearly increases, which can be described as a linear equation. With increasing the t, the springback angle first reduces and then increases, while the springback angle fluctuates mildly with increasing the D. Under the same D/t, the springback angle declines with increasing the D and t proportionally.
Preparation and Characterization of Laser Clad NiCrBSi Coating Reinforced with WC
Authors: Wang Dongsheng , Chu Jiaqing , Qu Guang , Zhou Xinhua
Published: July 2021

NiCrBSi coating reinforced with WC was prepared on the steel substrate surface of 42CrMo alloy structure based on coaxial powder-feeding laser cladding technology by using the YLS-6000 fiber laser. Phase composition, microstructure, microhardness and wear resistance of specimens were discussed by the X-ray diffractometer (XRD), scanning electron microscope (SEM), microhardness meter and ring-block friction wear testing machine. Results demonstrated that the composite coating is mainly composed of γ-Ni solid solution and WC, accompanied with phases like FeNi3, B2Co3, CoCx, FeCr0.29Ni0.16C0.06, W3C and Co3W3C6. The top, middle and bottom of the cladding layer are occupied by tiny dendrites, coarse columnar dendrites and cellular crystals perpendicular to the interface. Moreover, good metallurgical bonding is formed between the coating and base. Hardness and wear resistance of the composite coating are far higher than those of the 42CrMo base. According to west test, the base presents typical adhesive wearing characteristics, while the composite coating mainly shows abrasive wearing performances.
The influence of SLA process parameters on the property of alumina
Authors: Chen Haida , Chen Bin , Li Jie , Yan Hengfeng , Cheng Liying , Chen Jimin , Zeng Yong
Published: July 2021

Ceramic stereolithography (SLA) was used to fabricate a ceramic. A ceramic 3D printer based on the SLA method was manufactured. In order to systematically and effectively evaluate the role of the parameters in the ceramic green body, the orthogonal test method is introduced. The placement position of the parts, the laser repetition frequency, and scanning speed are used as independent variables to be studied. The final result shows that when laser power is set, the relationship between the hardness of the part and the position of the part is not evident. The speed of laser scanning greatly influences the mechanical properties of the parts. Alumina parts with smooth surface and dense microstructure were obtained after debinding and sintering processes.
Effect of brazing parameters on microstructure and mechanical properties of TMC/Si3N4 joint
Authors: Shi Kangqiao , Li Min , Zhu Dongdong , Dong Duo , Xie Lei , Zhang Tong
Published: July 2021

A multilayered filler made up of Cu foam and Ag-28Cu foils was used to successfully braze (TiB+Y2O3)/titanium matrix composites (TMC) and silicon nitride ceramics (Si3N4). The microstructure of the TMC/Si3N4 joints obtained at different brazing parameters was investigated. The results showed the interfacial structure of the joints is composed of TiCu, TiCu2, Ag (s, s), Cu (s, s), TiN and Ti5Si3 phases. The growth equation of the TiN layer was established and its thickness was increased with respect to the brazing time and brazing temperature. Optimal shear strength of approximately 180 MPa was achieved when the joint was brazed for 10 min.
Influence of pad under rail on the mode of fastener clip
Authors: Huan Liu , Qiutong Li , Yan Liu , Xiujie Jiang
Published: July 2021

To explore the influence the rail pad structure of the DT-III fastener system on the clip modal analysis, the finite element model of the DT-III fastener system was established. By adjusting the width and depth of the rail pad groove, the clip assembly modal responses with different rail pad structures are obtained. The results show that the groove depth and width of the rail pad have great influence on the fastener system stiffness. In the assembly state of the clip, with the increase of the groove depth and width of the rail pad, the first-order mode frequency of the clip decreases gradually, and the frequency range is 850Hz-930Hz. Therefore, the rail pad structure can be reasonably designed based on the rail corrugation and train speed.
Study on A New Deformation Resistance Model and High Temperature Flow Behaviour of High Cr N80 Steel
Authors: Li Jingwei , Yu Wanhua , Lv Juan , Jia Li
Published: July 2021

The purpose of this paper is to discuss a new deformation resistance model and high temperature flow behaviour of high Cr N80 steel. Through the single-hit hot compression test with true strain 0.7 at strain rate 0.1s-1,1s-1,10s-1,40s-1 from deformation temperature 700°C to 1200°C by Gleeble-3500 thermomechanical simulator, the flow stress curves of the dynamic recovery type are obtained. The influence of deformation temperature, strain rate on the flow stress is systematically analysed. Furthermore, a new and highly precise Zhou Jihua-Guan Kezhi deformation resistance model of high Cr N80 steel is established through the test data. The calculated results of the model are in good agreement with actual test results. The correlation coefficient (R) is 0.993. Most of residual errors between the measured values and the predicted values by the model are within ±30MPa.
Study on the effect of hot working parameters on deformation resistance of duplex stainless steel
Authors: Qi Peng , Ren Facai , Xu Jinsha
Published: July 2021

Duplex stainless steel is widely used in petrochemical industry because of its good comprehensive mechanical properties. In this paper, hot compression tests of UNS S32760 duplex stainless steel at different strain rates and temperatures were carried out. The influence of strain rate and deformation temperature on deformation resistance of duplex stainless steel is analyzed.
Research and application on an embedded cabin non-contact detection and precision docking technology
Authors: Li ChangXun , Tang Laiying , Feng Wei , Wang ChenXing , Sun Wei , Zhao Kai
Published: July 2021

In the assembly missions of spacecraft, the cabins docking are the final part of the product assembly to form the probe into a whole, which is one of the most critical parts of the assembly task. The spacecraft of Insertion and Containment in cabin docking faces difficulties such as eccentricity of mass, small safety spacing, and non-visibility. In this paper, interference detection method based on reverse engineering non-contact virtual assembly and precision docking process method with tiny spacing of cabin eccentricity were proposed, and a large eccentric inline cabin docking device was developed to solve the problem of inline cabin precision docking. The above-mentioned method was applied to achieve nearly 100 successful dockings during the AIT process, which ensured the success of the spacecraft mission.
Research on the layout problem of typical ship cabins considering maintainability
Authors: ao Cui , jin-e Huang , shao-song Min , jie Jiang , xiang-bing Huang , ran-ran Zhang
Published: July 2021

With the rapid development of the technology of ship manufacturing and computer-aided design, the application of computer intelligent algorithm to study ship cabin layout problems has been widely used. However, the main consideration to solve the problem is to meet the functional requirements and the maintainability of the equipment hardly can be considered. Furthermore, while maintainability indexes are taken into considered, accessibility is the main consideration index, and other design indexes of maintainability couldn’t be considered enough. Considering this case, this paper established a mathematical model of ship cabin layout considering maintainability throughout analyzing the maintainability design indexes firstly. Secondly, it combined with the characteristics of ship cabin and the requirements of relevant specifications to build the mathematical model. Finally, this paper selected a certain type of fishing vessel and optimized it by using genetic algorithm. Under the condition of meeting the relevant specifications of ship construction, the maintainability design level of cabin equipment is improved. The research results could provide a preliminary reference for the layout and design of ship cabin equipment.
Analysis of Abnormal Tank Volume Curve in Calibration Process of Horizontal Metal Tank Volume Comparison Method
Authors: Yong Wan , Jiamin Lu , Yizai Liu
Published: July 2021

This paper introduces the works, calibration process and data treating method of the horizontal metal tank system calibration by the volume comparison method. Nine typical abnormal tank volume curves are analyzed in this paper, which not only helps to improves the operating skills and work efficiency of the industry technicians, but also ensures the accuracy of the calibration results of the volume comparison method.
Analysis on safety status of special purpose motor vehicles in defined fields
Authors: Luo Hongqi , Liu Xia , Wang Po
Published: July 2021

Special purpose motor vehicles in defined fields have the characteristics of low speed and strong mobility. From the motor vehicle accidents in the field over the years, the causes of the accidents are mostly the weak safety awareness of the users, improper management, illegal operation or improper operation of the drivers, etc. This paper analyzes the annual change trend of the ownership of special motor vehicles, the number of accidents and illegal operation in the field (factory). The results show that the ownership of vehicles increases rapidly, the number of accidents and illegal operation data does not increase significantly, but the proportion of illegal operation shows a downward trend.
Truss optimization using genetic algorithm and FEA
Authors: Li Wenrui , Yao Qi , Cao Siting , Qiu Jiyuan , Wei Haolin
Published: July 2021

How to optimize the quality of the truss so that the truss meets the load-bearing requirements has always been a key issue of research. In this paper, a genetic algorithm (GA) and finite element analysis (FEA) based optimization method is proposed for the size and topology of a space truss. According to the results of space truss, four kinds of components are divided and their cross-sectional areas are optimized respectively. The coded value on the chromosome in GA is used to represent the truss topology, and the adjacent value represents the adjacent truss structure. The nodal displacement and member stress of the truss are solved by finite element method to ensure the safety of the truss. All work is done using python.
The Test Device of Three-channel Electric Direct Drive Control System Simulating Automobile Steering System Parts
Authors: Gao Zi-chen , Su Zhong-hua , Fan Li-chang
Published: July 2021

This paper briefly describes the detection status and existing problems of the current durability test of automobile parts, and designs a set of detection equipment for some parts with more accurate and complex stress structure, mainly through the combination of mechanical structure design driven by servo motor and electronic measurement and control part, so as to realize the mutual cooperative action of three channels including one linear load and two rotating loads. In the fatigue test of the steering system pull rod ball joint assembly and other parts, through the comparative test and uncertainty analysis, it is found that the uncertainty of the single actuating direction of the equipment is 82% lower than that of the traditional hydraulic cylinder actuator. At the same time, the working principle of the equipment determines that its detection energy consumption cost is far lower than that of the traditional hydraulic cylinder actuator.
Railway obstacle detection based on radar and image data fusion
Authors: Qi Shuai , Yu Dong
Published: July 2021

In order to improve the poor adaptability of a single sensor in detection and further improve the train’s ability to perceive the running environment ahead, a railway obstacle detection method based on the fusion of microwave radar and image data was proposed. The environment in front of the train collected by the radar is preprocessed to eliminate false and out-of-bounds target signals, and the target within the safety limit is retained. At the same time, the frame difference method is used to detect the obstacles in the image sequence captured by the vehicle camera. The detection results of radar and camera are fused at the decision level. The experimental results show that this method can effectively realize the joint detection of obstacles by microwave radar and machine vision, which makes up for the deficiency of single sensor in obstacle detection.
Study on insulation performance of environmental protection C5-PFK gas mixture based on time sharing and mutual fiber sensing detection technology
Authors: Shiling Zhang
Published: July 2021

With the proposal of China’s goal of carbon peak and carbon neutralization, it is urgent for C5-PFK environment-friendly gas insulating medium to replace SF6 in key power equipment, and the research on C5-PFK mixed gas on-line detection technology should be carried out in advance. In view of this, this project is the first time to apply the time-sharing mutual optical fiber sensing detection technology to the C5-PFK mixed gas insulation and decomposition performance research. Theoretical and software analysis: the insulation and decomposition characteristics of C5-PFK gas mixture were simulated from the molecular dynamics level. The variation of absorption spectrum with the temperature and pressure was simulated by self programming simulation software platform, and coupling field distribution of electric power equipment in C5-PFK insulation environment was obtained. The grey system and the NSGA-II hybrid algorithm are applied to inverse and predict the decomposed gas concentration high coupling and nonlinear data series. Hardware and device development: develop a time-sharing and interactive optical fiber live detection device to achieve quantitative online acquisition of decomposition components of mixed gas. Build a real test platform for testing the power frequency, lightning and switching impulse performance of gas mixture. The influence of high frequency vibration and large temperature difference on the experimental results is solved by optimizing the optical system through structure iteration. The time-sharing and interactive optical fiber sensing detection technology can realize the detection of C5-PFK mixed gas with high sensitivity and wide concentration range, which provides theoretical and experimental basis for China’s dual carbon target construction demonstration project, and has good economic and social benefits.
Research on Explosive Wave Impulse Measurement Method Based on Momentum Block
Authors: Li Yugang , Lin Yuliang , Zhang Yuwu
Published: July 2021

The shock wave impulse measurement method based on the blast contour method is quantitatively researched. Firstly, the measuring device is designed, and then the calculation model is established based on the AUTODYN software. The result is carried out under the working conditions of several equivalent TNT charge. The results show that the measurement result which is related to the momentum block density of this method is slightly larger than the scaled impulse of the shock wave free field. The result momentum block obtained with high density is greater than that of low density. When the proportional distance is large, the measurement result has a stronger correlation with momentum ball density. Also, the law of result is similar in Sadovskyi’s empirical formula. Under loading of shock wave, the movement process of momentum ball in the tube mainly is divided into four stages: instantaneous acceleration, deceleration, uniform speed, and secondary acceleration.
Detection and Analysis of Metal Induction Hardened Layer Based on Ultrasonic Technology
Authors: Huaishu HOU , Xiao Dong YU , Ding LU , Xinchong Fang , Jicai Shen
Published: July 2021

The quenched SAE 1552 steel has excellent mechanical properties. The depth of hardened layer is closely related to its mechanical properties, so it is of great significance to detect the depth of hardened layer. By using ultrasonic testing technology, the relationship between each ultrasonic parameter and quenchable material with different thickness is established. Through short-time Fourier transform, the ultrasonic signal is analyzed. It is observed that the time-domain waveform of steel with different hardened layer thickness is very different, and the ultrasonic frequency and signal amplitude are also different. This feature can be used as an important theoretical method of ultrasonic testing, which proves that the ultrasonic testing method can accurately detect the hardened metal layer.
Research on the Application of Analytic Hierarchy Process in the Multi-target Decision Making of Networked Ammunition
Authors: Hongzhi Zhao , Xu Zeng
Published: July 2021

In the process of networked operations, a large amount of target parameter information can be obtained. How to allocate targets to obtain the maximum attack effectiveness of the entire weapon system is of great significance. This paper proposes a multi-objective decision-making method based on analytic hierarchy process. Through the establishment of analytic hierarchy structure model, the construction of comparison judgment matrix, the weight calculation and consistency test of target factors, the calculation of composite weight and the total ranking of levels, etc., finally a reasonable judgment order can be obtained, and the best decision result can be obtained. It provides a reference for the solution of the decision-making problem of multi-point attack, and provides a simple and effective solution for the decision-making of networked ammunition multi-target attack.
Garbage image recognition and classification based on hog feature and SVM-Boosting
Authors: Weifeng Wang , Baobao Zhang , ZhiQiang Wang , FangZhi Zhang , Qiang Liu
Published: July 2021

Due to the diversity of garbage types in our daily life, we will encounter many difficulties in the process of classification. In this regard, I combine hog features and boosting algorithm to develop a SVM classification method. Firstly, the input image is preprocessed to make the image more recognizable. Secondly, the hog algorithm is used to extract the features of the image. Finally, the classification device is trained, and the relevant information is sent to the image set. On this basis, the classification situation is detected. The final results show that the classification efficiency of the algorithm is as high as 95% or even more, which is about 10% higher than that of single SVM classification method. It can accurately classify garbage and has certain feasibility.
Gait Recognition of Amur Tiger Based on Deep Learning
Authors: Lili Zhou , Tongjun Liu , Yinfu Du , Jinyu Wang
Published: July 2021

The gait of Amur tiger was studied through video images, and a more accurate individual recognition system of Wild Amur tiger was given on the premise of supplementing pattern recognition technology. Through further research on the common gait of Amur tiger, the basic information database was established to realize the physiological state research of Amur tiger. The characteristic structure and movement standard model of Amur tiger were constructed to complete the simulation and reconstruction of Amur tiger’s routine movement. Through the simulation corridor of tiger movement trajectory, the ecological protection area can be divided effectively.
Application of improved sparrow search algorithm in SVM optimization
Authors: Ouyang Chengtian , Zhu Donglin , Wang Fengqi
Published: July 2021

Sparrow search algorithm has good global search performance, but there is still a probability of falling into local optimum. In order to optimize the algorithm, K-means is proposed to make the population evenly distributed and improve the efficiency at the beginning. Then, the sine-cosine search and adaptive local search strategies are introduced to reduce the probability of falling into the local optimum in the middle and late stages, so that the optimal solution can be obtained easily. Finally, the two strategies are discussed and applied to SVM parameter optimization. The UCI dataset classification results show that the algorithm with the two strategies is suitable for SVM parameter optimization, and the algorithm with sine-cosine search has better optimization ability and stability.
Optimization of Meteorological Elements and Icing Prediction Based on Satellite-ground Data Fusion
Authors: Yang Zhi , Si Weiguo , Zhao Bin , Li Mengxuan , Liu Bin , Zhao Binbin , Ma Xiao , Luo Meng
Published: July 2021

Icing prediction and early warning depend on icing prediction model and weather element forecast. In order to improve the accuracy of weather forecast, we test and analyze the forecast improvement of the temperature, wind speed and precipitation using numerical model and data fusion and assimilation of satellite-ground data. Through comparative analysis, data fusion and assimilation can significantly improve the forecast level of temperature and precipitation. The accuracy of 72-hour forecast does not decrease significantly compared with that of 24-hour forecast. Therefore, data fusion and assimilation using satellite-ground data has a better guiding significance for the prediction and early warning of 24-72 hour ice cover.
Application Research on Combat Simulation Automation based on Intelligent Speech Interaction
Authors: Fu Xiang , Shen Hanji , Chen Tao , Liu Hongpeng
Published: July 2021

Combat simulation test is the main means of evaluating command information systems. In order to improve the intelligence and efficiency of simulation experiment, the method of applying intelligent speech interaction technology (ISIT) to the simulation experiment automation process is proposed. The application processes of speech instruction recognition, instruction element analysis, data instruction generation and speech synthesis feedback are designed based on human-machine ISIT. Meanwhile, taking the air combat command and guidance scene an example, the command and guidance voice instruction database is constructed, and the speech interaction simulation experiment is designed and verified. The results show that ISIT can effectively reduce the number of commanders and operators in air combat simulation test, and improve test efficiency.
Research on Improved Intelligent Generative Dialogue Algorithm Based on Knowledge Graph
Authors: Liu Caizhen , Li Yu , Chen Bangge
Published: July 2021

The rise of a new generation of artificial intelligence technology, represented by deep learning, has promoted the vigorous development of natural language processing technology. As a typical application of natural language processing technology, human-machine intelligent dialogue system, coupled with its commercial value in the fields of voice assistants and chat robots, has become a hot topic in the current academic and industrial circles. In the past, the responses generated by intelligent dialogue robots is single and universal, and even the content is inappropriate. Therefore, this study proposes to use the knowledge graph as the background knowledge when the dialogue model generates the responses[1]. In order to meet the needs of users more closely, it also proposes to introduce the user information participating in the dialogue and the dialogue scene into the model. The model is trained and evaluated on the DuRecDial public dataset, and the optimized model is compared with the original model. The experimental results show that the model with these two modules has better effect than the original model, especially in the generation index, the F1, BLEU2 and DIST-2 indexes have been improved by 0.91%, 0.5% and 0.9% respectively.
Research on Current Situation of 3D face reconstruction based on 3D Morphable Models
Authors: Hu Weirong , Li Yu , Wang Xuesong
Published: July 2021

3D face reconstruction based on 3D morphable models (3DMM) uses single or multiple 2D face RGB images to reconstruct the 3D information of the target and restore the spatial structure of the face, which has important research significance for face recognition, film industry, medical field and so on. This paper introduces the main technical methods and research status of 3D face reconstruction based on 3dmm in recent 20 years, summarizes the advantages and disadvantages and applicability of various researches on 3D face reconstruction using 3dmm, and analyzes the current research hotspot and future development trend of 3D face reconstruction.
Prediction method of landslide geological hazard based on AdaBoost model
Authors: Luo XiaoXia , Wang ChenYang
Published: July 2021

Aiming at the problem of landslide geological disaster prediction, based on the analysis of geological structure and historical disaster data of a county in southwest Shaanxi, this paper puts forward a landslide geological disaster prediction model based on AdaBoost. Firstly, the data of landslide geological disasters are analyzed, and the main factors of landslide geological disasters are determined by principal component analysis and Spearman grade correlation coefficient method. Then, the main factors are used as feature data to train the model, and grid search is used to optimize the super parameters in the model. Finally, experiments on real data sets show that the prediction accuracy of AdaBoost model is 1.5% higher than the best prediction results of decision tree, logistic regression, support vector machine and k-nearest neighbor method, and AUC is 0.24% higher. It further verifies the effectiveness and feasibility of the model, which can provide a scientific basis for the prediction of landslide geological disasters.
Research on Classification Method of 3D Point Cloud Model Based on KE-PointVNet
Authors: Cheng Haixia , Zhao Bo , Zhang Zhiyu , Liu Xunjun
Published: July 2021

With the popularization and use of three-dimensional data acquisition equipment, the acquisition of three-dimensional data is more convenient. Three-dimensional data contains rich shape and scale information. How to effectively and accurately classify, segment and identify three-dimensional data is a research hotspot in the field of computer vision. Aiming at the particularity of 3D point cloud data and the neglect of local correlation between points, this paper proposes a new end-to-end depth network framework, namely KE-PointVNet. KE-PointVNet can directly deal with point cloud and construct deep convolutional network. KE-PointVNet extracts local geometric features of each point based on the EdgeConv module. By using the KNN proximity algorithm to construct local neighborhood of the point cloud, it can avoid its non-local diffusion, and finally obtain the high-level semantics of the point cloud through the local aggregation vector VLAD layer. The experimental results show that this method has a higher classification accuracy than most of the existing point cloud classification methods.
Person re-identification based on frequency channel attention networks under the surveillance scenario
Authors: Chen Shengbo , Zhang Hongchang
Published: July 2021

Under the surveillance scenario, due to the influence of occlusion, deformation and illumination, the accuracy of person re-identification (ReID) task will be greatly affected. The extraction of effective pedestrian features has become the key of person ReID task. In view of this problem, this paper creatively uses frequency channel attention (FCA) network to carry out person ReID task. FCA network solves the problem of insufficient information representation caused by global average pooling (GAP) in traditional channel attention network. In addition, this paper conducts experiments on two datasets. The ablation experimental results show the effectiveness of FCA network in person ReID task, and the results of contrastive experiment show the superiority of FCA network in person ReID task.
Improved differential evolution LQG control of active suspension
Authors: Dafeng Jin , Feifei Liu
Published: July 2021

Aiming at the problem that the value of weighted matrix Q and R in linear quadratic optimal control (LQG) controller depends on the designer’s experience, adaptive differential evolution (JADE) algorithm with optional external archive is introduced to optimize the control parameters of LQG, so as to improve the performance of LQG controller. The dynamics model of 1/4 vehicle active suspension was established as the object, and the LQG objective function was constructed. The simulation experiments were carried out on B-class and C-class roads with the help of Matlab/Simulink.The experimental results show that the RMS values of the vertical acceleration of the vehicle body, the dynamic travel of the suspension and the dynamic displacement of the tire of the active suspension based on JADE optimized LQG controller under different road surfaces are reduced to a large extent compared with that of the passive suspension, which improves the stability of the vehicle and the comfort of the ride.
Design of Intelligent Somatosensory Deformation Skateboard Based on STM32
Authors: Fei Ruan , Li Songming , Li Xinxue
Published: July 2021

Based on the research of the existing intelligent scooter, this paper puts forward a more perfect scheme for the skateboard with STM32 as the core from the aspects of appearance, internal performance and whether the skateboard is safe in the process of running. Firstly, the performance and serial port of STM32 are analyzed, and then the corresponding gravity sensor is selected according to the module and connected to the host chip. Then the simulation debugging of gravity sensing was carried out. After normal operation, the assembly of the whole skateboard was started and the Bluetooth module and LED module were installed. At the same time, a detachable handle is also designed in appearance to ensure driving safety to the greatest extent. Finally, the wireless communication control system is used to achieve humanized design, and the intelligent direction and speed are adjusted through the gravity induction module.
Research on the Combination of Mobile Communication Technology and Computer Internet Technology
Authors: Feng Yuan
Published: July 2021

The integration of Internet tech and mobile communication tech has changed the form of traditional info and communication tech, which can better serve the real needs of people for real-time communication and high-speed sharing and interconnection of data, info and resources. Based on this, this paper first analyses the connotation and characteristics of mobile communication and computer Internet, then studies the integration mode of mobile communication tech and computer Internet tech, and finally gives the trend of the combination of mobile communication tech and computer Internet tech.
Random forest-based human pose detection system for through-the-wall radar
Authors: Xu Dongpo , Liu Yunqing , Wang Qian
Published: July 2021

Nowadays, the detection, identification and classification of targets behind buildings in the process of wall penetration sensing is one of the main solution directions for detection activities. In this paper, a random forest-based human pose detection system for through-wall radar is proposed, aiming at optimizing the traditional through-wall radar target detection and identification by machine learning methods. The actual data acquisition is performed by UWB-MIMO through-wall radar system to construct multidimensional data and identify the pose. The experimental results show that the random forest method has high recognition performance by identifying multiple poses and has a pose resolution that traditional target recognition does not have.
Adversarial Response Generation Against Topic Relevance
Authors: Zhang Peng , Wang Hongrong , Zhou Zhigang , Wang Yu
Published: July 2021

In recent years, generative adversarial networks have performed well in the field of dialogue generation to improve the information diversity of dialogue responses. Often overlooked, however, is that the query and response are not relevant on the topic. In order to improve the topic relevance of chat conversation, the paper proposed a topic-relevance adversarial response generation model, TR-ARG, which is composed of generator G, discriminator D and topic classifier T. The experiment was evaluated on OpenSubtitles, an open dialog dataset, and compared with the current baseline models SEQ2SEQ and GAN-AEL. The results show that our model can effectively improve the topic relevance of generated responses.
Study on the Influence of Automobile Intelligent Development on the Market Scale of Network Security
Authors: Hao Jingjing , Qin Yue , Wang Qipei , Pan Junjia , Liu Quanzhou , Han Guangsheng , Tang Fengmin , Rong Hui
Published: July 2021

As an important tool of intelligent transportation and intelligent travel, automobile is becoming more and more electronic and software-oriented. The intelligence and connection of automobile have brought a new and huge economic growth point to the automobile industry. But a number of new software and network technologies introduced have also posed a threat to automotive security. Fortunately, these technologies have also given birth to and promoted a new business of the automobile industry, namely the security business of intelligent connected vehicles (ICV). At the same time, under the huge volume base of the automobile industry, the development of the security market in the automobile industry will have an impact on the overall market scale of network security. Investigation, analysis and research were undertaken in this paper to demonstrate the relevance among the development of intelligent network vehicles, the automotive security, and the network security market.
An Access Control Scheme Supporting Privacy Protection Based on Blockchain and Attribute
Authors: Li XueWei , Chen Yue , Zhu HuaiYu
Published: July 2021

With the large-scale application of cloud storage systems, lots of attribute-based access control (ABAC) schemes have been introduced to protect data and user security in this insecure environment. ABAC can make data owners control their own data and protect data security and privacy. However, there are two serious privacy leakage problems, namely user attribute privacy and policy privacy, should be solved in the process of constructing ABAC schemes. In this paper, an ABAC scheme supporting privacy protection is constructed, which can solve privacy leakage problems of user attribute privacy and policy privacy in large universe attribute system. Furthermore, a framework is proposed. The framework combines our ABAC scheme, the Ethereum blockchain and blockchain-based storage system. In this framework, the security characteristics of blockchain technology are used to realize decentralization, tamper-resistant and avoiding single point of failure. Besides, the problems of attribute revocation and policy updating are solved by smart contract on the Ethereum blockchain. Finally, we established an initial implementation on Linux and Rinkeby test network, and the experimental results show that our scheme is feasible.