bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Current Amplifier Circuit and Control Strategy Based on FPGA
Authors: Gu Wei , Zhang Lihui , Xie Junkai , Shi Guangnan , Zhang Haibo , Yu Quanqing , Zhu Honglin 
Published: November 2021

Abstract
With the extensive application of electric vehicles, energy storage systems and other power electronic equipment, the research on large capacity controllable current source will be an important direction in the future. This paper proposes controllable current source controlled by a full digitally hysteresis current based on field programmable gate array(FPGA), in which the single phase full bridge topology is adopted as the main circuit of current source. The two levels and three levels hysteresis current control strategies are analyzed and compared with the platform of PSCAD/EMTDC. The user defined component was adopted to realize the two difference control strategies with fortran language program. The simulation results verified that the two levels hysteresis current control strategy is much more fit for the controllable current source. Finally, a prototype is designed and fulfilled and it is controlled by the digitally controller with FPGA. The hysteresis current control is realized by FPGA controller with VHDL programming. The experimental results show that the researched hysteresis current control technology is effective for the current amplifier
Research on the Calculation Method of Distributed Photovoltaic Access Capacity Considering Harmonic Characteristics
Authors: Su Junhu , Yang Zhaoguang , Liu Xu , Yang Jingyu , Jiang Minghua 
Published: November 2021

Abstract
To raise the maximum access ability of the maximal distributed photovoltaic system, based on the metering terminal of plant and station system for many years, a nonparametric estimation method based on kernel density is proposed to calculate harmonic probability distribution, this paper proposes the calculation method of superposition index and simultaneous coefficient suitable for distributed photovoltaic grid-connection, and puts forward the capacity calculation method considering harmonic constraints. An example shows that the proposed method can increase the maximum admittance capacity by at least 15% compared with the traditional method under the condition that the harmonic emission level does not exceed the threshold value of national standard, and realize the safe, stable and economic operation.
Research and Application of Power System Data Anomaly Identification Based on Time Series and Deep Learning
Authors: Li Chao , Li Xiaolei , Liu Xingyu , Zhao Lin , Xiao Dajun , Hao Xuliang , Xie Jun , Xu Xialing 
Published: November 2021

Abstract
Abnormal data in the power system will reduce the accuracy of system state estimation and affect the safe operation of the power dispatch system. This paper proposes a data anomaly identification model based on time series and neural network, which establishes time series for various measuring points of the control master station, creates a time series group of associated measuring points based on the network topology, and extracts the sample characteristics of the time series. The neural network model is used to realize the intelligent identification of normal data and abnormal data. The neural network recognition results are compared with normal distribution and DBSCAN density clustering methods to verify the abnormal recognition performance of the neural network. Using a provincial power grid dispatch center operating data set as a training and testing sample, it verifies the advancement of the proposed method in the comprehensive performance of anomaly detection recall rate and precision rate and its feasibility in actual system application.
Research on Intelligent Operation and Maintenance Model of Large Database for Electric Power Industry
Authors: Yang Chaoyi , Liu Ye , Xiao Jianyi , Huang Xiaobo , Chen Jiahua 
Published: November 2021

Abstract
Existing research on automated database operation and maintenance for the electrical industry mainly focuses on distributed and cloud platforms, and there is a lack of traditional large-scale database intelligent operation and maintenance research. This paper designs an overall operation and maintenance model framework of “intelligent perception-intelligent decision-intelligent execution”, and proposes feasible implementation plans, including: (1) Use the prophet time series forecasting model to perceive and predict important database performance indicators, and dynamically adjust the threshold of each performance indicator according to the predicted value; (2) Perform correlation analysis on abnormal indicators through the association rule model to construct “Indicators”->Operation” optimized combination operation strategy library for intelligent decision making; (3) According to the intelligent decision library, automatically restrict the associated operations under abnormal conditions to ensure the normal operation of the service and realize intelligent execution.
A Clustering Routing Algorithm for Wireless Sensor Monitoring Network in Irrigation Area
Authors: Li Lianguo , Ren Kang , Fan Tanghuai , Shen Keyong , Hu Rongqun 
Published: November 2021

Abstract
It is the basis for the implementation and scientific management decision of precision irrigation to accurately and comprehensively sense water and rainfall regime, soil moisture content and engineering conditions in irrigation areas and various environmental factors closely related to crop growth. In view of the characteristics of large monitoring range and scattered distribution of measuring points in the irrigation area, based on the analysis of the characteristics of the strip shape layout of the wireless sensor network at the water demand side of the irrigation area, and the limited battery energy and transmission distance under the condition of battery power supply, a clustering routing algorithm based on wireless sensor network for monitoring irrigation area is proposed (known simply as CRAIM algorithm). The formation of clusters, the selection of cluster heads, the routing process between clusters and the sink nodes are studied, and the CRAIM algorithm, EE-LEACH (energy-efficient LEACH) and MMH-LEACH (modified multi-hop LEACH) algorithm are simulated and compared respectively. Experimental results showed that, the new algorithm, CRAIM, has some advantages in the energy consumption of the network.
Research on Highway Slope Disaster Automated Monitoring Method Based on Video Image Processing
Authors: Zhang Zhuomin , He Song , He Chaonan , Chen Yi , Shi Haobo 
Published: November 2021

Abstract
With the rapid development of China highway transportation network, a lot of highways have risen in the mountainous areas. And the risk of geological disasters is also increasing. Due to the instability of the geological structure and geological changes, slope landslides and collapses frequently occur. However, there is a lack of effective means and tools in the field of highway slope disaster monitoring. For large and important slopes, various information-based monitoring methods are used, but the effects and practicability are not satisfactory. This paper proposes a highway slope disaster automated monitoring research method based on multi-camera video image processing to solve the previous engineering problems of slope video monitoring. It can quickly identify slope disaster events with centimeter-level monitoring accuracy, which can meet the application requirements of highway engineering. Correspondingly, the disaster emergency response capabilities of highway operators can also be supported and improved.
Analysis of an Automatic Early Warning System Based on Fog Architecture
Authors: Shi Gang , Yang Yuechen 
Published: November 2021

Abstract
In the process of analysing and processing terminal sensor information, a large number of terminal sensors are needed to collect front-end information. These front-end data collection, analysis and processing require high real-time, and need the support of location aware mobile computing services. Traditional cloud computing architecture is not the best choice for service scenarios with high real-time requirements. The fog computing architecture is to extend cloud computing services to the edge of the sensor network, coupled with appropriate fitness algorithms, can effectively improve the information analysis and early warning response speed of the geological disaster information early warning system.
Human Recognition Using Joint Coordinate Images (JCIs) with Convolutional Neural Network
Authors: Kong Deyu , Zhang Xuejun , Wei Yini , Xu Xianfu , Zeng Hongjie , Li Bin 
Published: November 2021

Abstract
Human recognition with skeletal data has the advantage in detecting people without their face characteristic on image. However, the accuracy of recognition by this method is always low because it relies deeply on manual feature selection. We propose a novel human recognition method called Joint Coordinate Images (JCIs) with Convolutional Neural Network (CNN) based on the image generated from skeletal information tracked by KinectV1. In order to represent human physical skeletal characteristic, the coordinate values XYZ of human joint tracked by KinectV1 are firstly created in color image called Joint Coordinate Images (JCIs), in which the relative position of the pixels represents the skeletal structure characteristics of participants with shape in “大” structure. Secondly, a new convolution neural network classifier Lenet-5 model, which always performed well in image classification, was modified to be able to input our JCIs for human recognition. The experimental results show that human recognition using joint coordinate image and Lenet-5 network can reach the highest recognition accuracy of 90.00% on the G3D dataset, which demonstrates the feasibility to transform the skeletal coordinate information into color image for human recognition task and could be used as a complementary method to the well-known application of face recognition.
Research and Application of Flutter Suppression Technology for Aeroengine Case Machining
Authors: Xiao Yang , Liu Bo , Wei Jie , Xiao Chenfan , Li Tian , Li Xiaowei 
Published: November 2021

Abstract
The magazine is an important part of the aero-engine, its main role is to bear the load and mass inertia force generated by the engine in the work. The design and manufacturing level of the magazine is of great significance to improve the aero-engine’s quality. Engine magazine belongs to a thin-wall cylinder part with large size, complex shape and high processing precision. Due to its thin wall rigidity difference, the processing quality is easy to reduce caused by the vibration of machine tools and other processing system, and cannot meet the requirements. According to the absorption principle of TMD (Tuning Mass Damper), an auxiliary fixture is designed to transfer the magazine processing vibration energy to the auxiliary fixture to reduce the vibration of the processing system and to improve the processing quality. Through ANSYS analysis, the maximum vibration amplitude of the magazine was reduced by 60% by using this fixture. Therefore, the fixture can significantly reduce the vibration in the processing and have good effect on improving the quality of the processing. The auxiliary fixture has the advantages of simple installation, simple disassembly, and strong scalability.
Research on a New Type of Lattice Roller Frame
Authors: Feng Baozhong , Lan Chunsen 
Published: November 2021

Abstract
In view of the structural defects of the current belt conveyor roller frame, such as heavy weight and high labor intensity of disassembly and assembly, a new lattice roller frame was designed by changing the structure and profile. On the premise of meeting the work conditions, the weight of the roller frame was reduced by more than 45%, which not only reduced the labor intensity of disassembly and assembly, but also reduced the tonnage and cost of consumables of the belt conveyor, and it has a broad market prospect.
Design and Validation of Thermal Insulation for Deep-sea Fluid Sampler of Jiaolong Human Occupied Vehicle
Authors: Yu Kaiben , Zong Le , Yu Shengqi , Meng Qingjian , Liu Baohua 
Published: November 2021

Abstract
In this paper, a thermal insulation structure with silica aerogel felt as filler material was designed for the requirements of deep-sea fluid thermal insulation sampling technology for Jiaolong human occupied vehicle. Simulation analysis of thermal insulation performance was carried out and an experimental prototype was developed for the thermal insulation structure. Experimental study on thermal insulation performance was conducted with the variation characteristics of the operation environment for Jiaolong human occupied vehicle being taken into account. Results show that the silica aerogel felt with a thickness of 30 mm filled in the radial space between the inner and outer cylinders can achieve the expected thermal insulation effect during the diving-sampling-transferring process, with maximum temperature rise of 8.5 °C, and can meet the requirements of deep-sea fluid thermal insulation sampling technology.
A Nuclide Recognition Method for Nuclear Robot System
Authors: Zhou Siyi , Zhang Jiangmei , Feng Xinghua , Zhang Caolin 
Published: November 2021

Abstract
In the real energy spectrum attenuation environment, many traditional nuclide identification methods for nuclear robot systems have problems such as using only part of the energy spectrum curve, being susceptible to noise, and having low recognition accuracy. Proposes an energy spectrum nuclide recognition method based on S-transform (ST) and Mahalanobis distance-based support vector machine (MSVM). Regarding the energy spectrum curve as a non-stationary signal, combined with the widely used S transformation method in signal transformation, the energy spectrum data is two-dimensional, Then use two-dimensional principal component analysis(2D-PCA) to reduce the dimension of the two-dimensional energy spectrum data for feature extraction, and design a support vector machine (SVM) classifier based on Mahalanobis distance to realize the identification of energy spectrum nuclides. Finally, experiments are carried out with simulated nuclide energy spectrum data based on Geant4. The experimental results show that this method effectively improves the accuracy of energy spectrum nuclide recognition by using full spectrum information. At the same time, experiments are carried out on the nuclide energy spectrum data of different detection distances obtained by the NaI detector in the real environment, and it is verified that the algorithm proposed in this paper also has a good recognition performance for the nuclide energy spectrum collected in the real environment.
Research on Quantitative Analysis Method of Combined Maintenance Task
Authors: Yu Na , Zhang Tao 
Published: November 2021

Abstract
In this paper, the delay time theory is used to establish the mathematical model of the combination of monitoring and periodic replacement tasks, and the impact of maintenance period of monitoring and periodic replacement is discussed. Through the optimization solution, the optimal cycle of combined maintenance tasks is obtained to minimize the maintenance cost while ensuring the reliability. Finally, an example is given to demonstrate the feasibility of this method.
Research on Collision Detection Method of Contact On-line Measurement
Authors: Qi Hongfang , Guo Runqi 
Published: November 2021

Abstract
In order to avoid collision and improve the safety of on-line measurement, a contact on-line measurement collision detection method is studied. Firstly, according to the structural characteristics of the probe and workpiece, the dynamic collision detection between the probe and workpiece is transformed into static collision detection by using the discrete method, and then the grid division of the collision detection space is carried out by using the space division method. Finally, the dynamic collision detection between the probe and workpiece is transformed into the intersection judgment between simple geometry, and according to different collision accuracy requirements, Hierarchical collision detection combining rough detection and fine detection is carried out. Experimental results show that the hierarchical collision detection algorithm has high detection speed and accuracy.
Quantum Key Distribution by Drone
Authors: Wang Z. , Guo Z. , Mogos G. , Gao Z. 
Published: November 2021

Abstract
A cryptographic communication system is secure from a practical point of view if the encryption scheme can be broken after X years, where X is determined by security needs and existing technology. Quantum cryptography does not offer a complete solution for all cryptographic problems: secure keys, encryption algorithms based on them, message authentication and finding ways to detect/prevent interception; but it can be seen as a complement to standard symmetric cryptographic systems. This paper presents the implementation of the BB84 quantum key distribution protocol on mobile systems - Amov-lab’s Z410 drone with T-engine 2216 - and tracks the error rate obtained in flight conditions.
Optimization of Low Frequency Acoustic Absorption Characteristics of Underwater Acoustic Cover Based on Nelder-Mead Simplex Method
Authors: Wang Jiabei , Zhou Hao 
Published: November 2021

Abstract
In order to solve the low frequency sound absorption problem of acoustic covering layer, the local resonant cavity covering layer is established. The geometric parameters and material parameters of the composite structure are taken as optimization variables, the maximum sound absorption coefficient in the frequency band of 10-2000Hz is taken as optimization objective, and the Nelder-Mead simplicated method was used as optimization method to optimize the established model. The optimization results show that the sound absorption coefficient of the composite structure is increased by 13% and 24% respectively after the optimization of geometric parameters and material parameters. The sound pressure level of the sound wave emitted into the water area is reduced by about 3dB after the optimization, and the power loss is equivalent to increasing by half. Therefore, the sound absorption performance is improved. The research results can provide a theoretical basis for the design of acoustic coating.
Effects of X Rudder Area on the Horizontal Mechanical Properties and Wake Flow Field of Submarines
Authors: Xiao Xiao , Liang Qiufeng , Ke Lin , Hu Yi , Zhang Lu 
Published: November 2021

Abstract
X rudder is particularly important for submarine maneuverability, but its influence on wake flow field remains largely unknown. In this study, the X rudder was scaled down three-dimensionally to 80%, 85%, 90%, 95% and 100% of the original rudder area with unchanged aspect ratio and installation position of rudder shaft. Next, the effects of X rudder area on the horizontal mechanical properties and wake flow field of the submarine with a tail control plane were analyzed using the CFD method. The results showed that when the X rudder area was reduced by 20%, the resistance was not significantly affected, and the yaw torque was still larger than that of cross-shaped rudder submarine. At the rudder angles of 0°, 2° and 5°, the velocity non-uniformity coefficients of S1 were reduced by about 9%, 25% and 71%, respectively, when compared to those of S5.
An Adhesive Wear Model Based on a Complete Contact Model for a Fractal Surface
Authors: Li Xin , Wang Bingbing 
Published: November 2021

Abstract
An adhesive wear model based on a complete contact model for a fractal surface is presented in this work. A contact model which contains effect of adhesion is firstly presented based on ME model. A complete contact model is then proposed. Finally, an adhesive wear model based on this model is given. The results suggest that the maximum contact area increases firstly and then decreases as fractal dimension increases. The percentage of plastic contact area increases with increase of the fractal dimension. And the experimental results for wear volume have shown a good consistency with the results calculated by the wear model.
Structural analysis of non-standard geometric variants of a shifted spur gear
Authors: Konecki K , Wojtkowiak D , Talaśka K , Kołodziej A , Domek G 
Published: November 2021

Abstract
Today's industrial practice shows that - in contrast to the past years, where gears were designed as standard as possible - machine parts are constructed on the basis of selecting non-standard parameters. This is because producers protect themselves against making additional parts from local suppliers for much less money by customers. The paper presents a geometric and strength analysis of an exemplary spur gear, which works as the second stage of a bevel-helical gear in the coiling mechanism of a multi-module machine producing bonell springs for mattresses. It was checked whether the transmission could be redesigned in such a way as to make its geometry as complicated as possible while maintaining the appropriate strength properties. Finally, there are graphs that can be helpful in this type of reconstruction process, and the subsequent stages of this work can be treated as a kind of algorithm for the discussed conversion of geometric parameters of the gear.
Experimental verification of high-strength composite materials using a simulation program
Authors: Knapčíková L , Husár J , Kaščak J 
Published: November 2021

Abstract
The use of composites in engineering applications has been steadily growing in recent years. Despite this growth and despite some important advantages of the properties that composites offer, such as reduced weight, design freedom, etc., a breakthrough in high- volume components in engineering applications has not been achieved at present. Therefore, when designing selected parts and structures using new materials, such as composites, material and manufacturing costs must be considered a high priority if further significant growth is achieved. However, many other factors must also be considered when designing a composite part for engineering use. These factors also depend on the particular material or combination of materials being evaluated. The paper is focused on testing a composite material manufactured from polybutylene terephthalate (PBT), reinforced with high-strength fibres Cordenka and Aramid fibres. The composite material's mechanical properties were verified using Ansys simulation software.
Gear shape optimization for non-circular gearing
Authors: Maláková S , Sivák S 
Published: November 2021

Abstract
The quality of gearings is largely decided by their geometric design. If the geometric design is incorrect, the reliability of the transmission will not be ensured even by the use of the highest quality materials. Conversely, sometimes excellent geometric gear design can save expensive material costs. The work describes the procedure of optimizing the geometric model of a non-standard elliptical gear eccentrically mounted with a continuously changing gear number for specific parameters.