bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skeleton Action Recognition Based on Double Residual Convolutional Neural Network
Authors: Shi Mengqi , Meng Yue , Yang Wenlu 
Published: February 2022

AbstractRecently, methods for action recognition using bone point information have gained much attention and research. However, considering the problem, this paper presents a model of skeletal action recognition based on a dual-residual convolutional neural network. The 3D bone data was used as network input to replace the original network structure with ResNet18 network. With action coherence involved, long and short memory network (LSTM) is used to obtain time features for skeletal movement information flow, further improve the fusion strategy, add static attention mechanism to obtain the most important features, and further extract features. With this model, we achieved 85.3% accuracy on the X-Sub of the NTU RGB+D data set, with higher accuracy compared to the original and other networks.
Super-resolution image reconstruction network based on dual-channel pixel attention mechanism
Authors: Zhang Wangwang , Song Anjun 
Published: February 2022

Abstract
In the field of image processing, image super-resolution reconstruction technology based on deep learning is becoming more and more mature. Relying on stacking convolutional layers to expand the depth of the reconstruction network can improve the similarity of the reconstructed image, but as the depth of the convolutional layer continues increase, the learning rate of the reconstruction network will also become lower. In this paper, the dual-channel pixel attention mechanism PA combined with the ESPCN network model can not only retains the high reconstruction rate of ESPCN, but also improves the image reconstruction effect. The experimental results show that the network model proposed in this paper is better than SRCNN, FSRCNN, ESPCN for single image reconstruction, and the peak signal-to-noise ratio (PSNR) and structural similarity ratio (SSIM) are significantly improved.
The Application of BP Algorithm in Optimization of the Supporting Point of Aerial Work Platform
Authors: Zhao Jian , Ma HongFeng , Sun Liang 
Published: February 2022

Abstract
At the moment, the parametric design is used in the design of the supporting point of aerial work platform. With the change of the relative position of the center gravity of each component, it is difficult to provide a great scheme for designer. We need a CAD software to obtain the scheme. The BP algorithm is a neural network algorithm. The mapping relation is obtained by training BP algorithm for the optimization of the supporting point of aerial work platform. When designer input the corresponding design parameters, they can directly get the design scheme.
Skeleton Action Recognition Based on Transformer Adaptive Graph Convolution
Authors: Meng Yue , Shi Mengqi , Yang Wenlu 
Published: February 2022

Abstract
Action recognition is of great significance in the field of machine vision. In recent years, great progress has been made in bone point-based action recognition models, but there is no much research on weak feature extraction of bone, leading to insufficient generalization of the trained models. This experiment proposes to use the Transformer structure and its attention mechanism to extract image features as input to Transformer to capture their behavior after extraction via GCN. Furthermore, the experiments were optimized based on the original ST-GCN model, introducing an adaptive graph convolutional layer to increase its flexibility and add attention mechanisms to a separate spatiotemporal channel module to further enhance the adaptive graph convolutional layer. Experiments on the NTU-RGBD dataset show that the model shows some improvement in the accuracy of action recognition.
Research and Design of Optimal Solution for Network Traffic Anomaly based on Multi-objective Decision Algorithm
Authors: Yan Yiying , Dang Yijie , Zhang Shulin , Li Yang , Li Zhihong , Le Xinyi , Yu Haobo 
Published: February 2022

Abstract
To help maintainers recover from network outages caused by network traffic anomalies, the paper proposes an optimal solution for network traffic anomaly based on multi-objective decision algorithm. It is achieved by combining network traffic anomaly detection with multi-objective decision algorithm, while meeting the objectives of the shortest recovery time, the minimum reduction of security protection and the maximum consistency with the original mode.
Research on the Design of Intelligent Chatbot Based on Deep Learning
Authors: Kuang Chuwen 
Published: February 2022

Abstract
At present, chat robots still have the problems of insufficient utilization of multi-modal information, weak emotion expression ability, and lack of model fusion mechanism. With the application of deep learning in the fields of natural language understanding, word vector representation, machine translation, sentiment analysis, and Chinese word segmentation, people have begun to study the key technologies of chat robots and apply deep learning to chat robots. In view of the problem that the traditional chat robot Seq2Seq model training will produce too safe, common, and repetitive answers to the speech corpus, which affects the interactive experience with users, this paper combines the idea of mutual information to improve the objective function of the model so that the model can produce richer and more diverse answers and give users a better experience. Experiments show that the model has improved many indicators compared with the single-modal model in the microblog data set experiment.
Optimization Design of Camera Pose for Network Base on Multi-view Stereo Vision
Authors: Chen Haomin , Ding Keliang , Qin Chuan , Zhang Pu , Xiao Mingjian 
Published: February 2022

Abstract
When designing a multi-vision stereo vision network, the camera’s positional information has a critical impact on the measurement accuracy. In order to solve the problem of optimizing the camera pose during network design, in this paper, we split the multi-vision stereo vision system into binocular stereo vision system. Based on the mathematical model of binocular stereo vision system, the error function of the positional parameters is constructed. By simulation analyzing the function models the field of view angle, the angle between the optical axis and the baseline, the baseline length, the law of the influence of each parameter on the measurement accuracy and the optimal range of values are obtained. Then we compare the actual measurement results with the simulation analysis results. The results show that as the field of view angle, optical axis and baseline angle, baseline length increases, the measurement error first decreases and then increases, and the increase is gradually accelerated. When each parameter is located in the optimal range, the measurement error meets the precision engineering measurement accuracy requirement of 0.05mm, and the minimum error is reduced by 0.114mm, 0.120mm and 0.061mm compared to the maximum error. In the network design, the optimization of the pose parameters can effectively obtain better pose information of the camera and thus improve the accuracy of the measurement.
Research on the Application of Improved Intelligent DNS in Link Balancing
Authors: Dong Wei , Wan Fucai 
Published: February 2022

Abstract
Based on the analysis of the working mechanism of intelligent DNS, this paper analyzes the defects of intelligent DNS and proposes improvement methods. A precise method for judging terminal address ownership is proposed, a front-end website scheme is designed, technical implementation details are introduced in detail, and online test results are given. The results prove that the intelligent DNS improvement method is effective in link balancing.
Design of a bandgap reference voltage source with low temperature coefficient and high precision
Authors: Zhou Jimin , Xin Xiaoning , Ren Jian 
Published: February 2022

Abstract
This paper proposes a high-precision, low-temperature coefficient, and repair-free bandgap reference power supply circuit. This kind of bandgap reference source adopts the way of double-loop feedback, namely through two amplifiers to clamp the voltage to improve the performance of the circuit. The band gap reference source is mainly composed of four parts, including: band gap reference core circuit, amplifier, start-up circuit and Gaussian current compensation circuit. This article mainly analyzes the working principle of the core circuit of the bandgap reference, and derives the mathematical formula of the circuit. When the power supply voltage is 1.8V, the circuit is simulated in the temperature range of -40°C to 125°C with the Hspice software, and the reference source outputs stably. The voltage is 1.25V±4mv, the temperature coefficient is 3.7ppm/°C, and PSRR at low frequencies is -68dB.
Abnormal Causes and Monitoring Methods of Electric Power Metering Devices
Authors: Lin Zhongai , Zhang Xingyi , Tang Biao 
Published: February 2022

Abstract
Electric power metering device is a necessary device for getting power system operation condition of power supply enterprise and the user information, power metering device management is an important part of the power supply enterprises, directly affect the enterprise’s economic benefit, the cause of the abnormal electric power metering device and the problems, carry out the effective method to implement monitoring for power metering device.
Design of high-performance message middleware based on netty
Authors: Wang Di , Dai YaWen 
Published: February 2022

Abstract
As the number of sensors connected to the IoT cloud platform increases, the incoming data continues to increase, and the server may crash due to excessive traffic. In order to solve this problem and ensure the accuracy of the data received by the server, this paper designs a message middleware based on Netty. Message middleware is widely used in many systems, using message queues to achieve asynchronous communication and traffic peak reduction, and solve the problem of high data concurrency. Compare the mainstream messaging middlewares, select ActiveMQ middleware, design the consumer model according to the characteristics of the protocol, and perform idempotence processing on the consumer side to improve the reliability and security of the middleware.
Research on Automatic Driving Simulation Test System Based on Digital Twin
Authors: Chen Xiaowei , Jin Zhigang , Zhang Qingyu , Li Po , Zhang Sulin , Sun Jiacheng , Tian Xiaosen , Wang Yaofu , Zhang Jian 
Published: February 2022

Abstract
With the rapid development of 5G infrastructure, cloud computing and other technologies to enhance the rapid development of autonomous vehicles. How to quickly, safely and efficiently test and evaluate the autonomous vehicles is the only way for that to have the ability to drive on real public road. This paper build a set of automatic driving simulation test system based on digital twin technology, describing the necessary steps taken for the system design, system implementation, and testing of a autonomous vehicle. In the system the real traffic scene in the digital space re-emerged, to achieve the real vehicle running in the real environment, while mapping to the virtual environment to achieve the vehicle in the loop, making it possible to define driving test scenarios for different types of tractor and trailer combinations and providing the free test site for autonomous vehicles. At the same time, the system provides an open interface, to verify and test various autonomous algorithms. The sensor device of the tested autonomous system is flexibly configured, and the test cost is low and the efficiency is high.
Coordination control of frequency and voltage regulation for renewable energy generation
Authors: Sun Hangyu , Zhang Jian , Li Wenfeng , Wang Hui , Ai Dongping , Geng Zhichen 
Published: February 2022

Abstract
Renewable energy generation has weak disturbance resistance and has insufficient voltage and frequency regulation ability. Aiming at the grid-connected structure of the renewable energy unit converter, this paper analyses the typical control mode of the converter participating in the system voltage and frequency regulation respectively on the basis of the principle and demand of voltage regulation and frequency regulation. Then the practical priority control method is analysed by combining internal active power and reactive power current circle. After that, a coordination control strategy for voltage and frequency regulation is proposed. The strategy optimizes the allocation of active current and reactive current reference value during the operation. It improves the performance of the renewable energy generation, and effectively solves the problems of active power and frequency, reactive power support and voltage, thus enhancing the stability of the power system. Finally, the feasibility of the coordination control is verified by the simulation of permanent magnet synchronous generator in PSCAD/EMTDC.
Key technology and application of primary and secondary fusion power distribution switchgear test and detection
Authors: Wei Jufang , Yao Ying , Feng Junji , Zhang Chi , Yue Yang , Zhang Chunhui 
Published: February 2022

Abstract
In recent years, primary and secondary integration of distribution switchgear has been widely used in the distribution network. In the future, primary and secondary integration will become the mainstream development trend of power distribution switchgear, especially in 2021, the State Grid Corporation of China will issue a new type of primary and secondary integration standardization. The typical design plan of power distribution switchgear have added two configuration methods: electronic transformer and digital transformer. So the traditional independent test method of power distribution automation terminal or power distribution switchgear are no longer applicable to the current new-type primary and secondary fusion standardized power distribution switchgear. At the same time, there is no standard basis for direct reference. This article mainly analyzes the key test items for performance verification of primary and secondary fusion power distribution switchgear, and propose corresponding test detection methods.
Research on GPS Vehicle Navigation System Based on Embedded Technology
Authors: Liu Chen 
Published: February 2022

Abstract
GPS vehicle navigation system is an embedded system commonly used in vehicles, which can optimize the driver’s driving experience and improve the convenience of the trip process. This paper analyzes the application characteristics and architecture of embedded technology. By studying embedded Zigbee nodes, network topology design, node hardware design and node software design, the purpose is to accumulate reliable application data and provide reference for the continuous improvement of GPS vehicle navigation system.
Method of Cogging Torque Reduction for Built-in Permanent Magnet Synchronous Motor
Authors: Yang Yong , Wang Xudong 
Published: February 2022

Abstract
Cogging torque is one of the main factors that deteriorate the performance of permanent magnet motor. In order to reduce the cogging torque of built-in permanent magnet motor, a method of optimizing Rib and DminMag to reduce groove torque of built-in permanent magnet motor was proposed. Firstly, the relationship between Rib and DminMag and groove torque is analyzed through the expression of groove torque. Secondly, the optimal Rib and DminMag were found by finite element parametric calculation, and compared with the pre-optimization groove torque, the groove torque was significantly reduced. Finally, the main performance of motor before and after optimization is not significantly reduced.
Fracture Failure Analysis and Optimal Design of Transmission Gear
Authors: Qiu Shi , Pang Daqian , Li Yong , Li Xunming , Zhao Fuqiang 
Published: February 2022

Abstract
In a special vehicle gearbox planetary transmission mechanism, the sun gear was broken under high-torque and high-speed operating conditions. This paper conducts chemical composition detection, hardness detection, non-metallic inclusion detection, part fracture scanning and other failure causes detection for the failed sun gear, and analyzes the main factors that cause the failure according to the failure characteristics of the sun gear, and proposes improvement measures, which has certain guidance significance.
Experimental study on dressing CBN grinding wheel with orderly arrangement of abrasive sintered Roller
Authors: Liu Zeyin , Zhang Rui , Zhao Huadong 
Published: February 2022

Abstract
In order to improve the CBN grinding wheel in the grinding process of wear problem, adopt the method of soldering preparation and orderly arrangement of sintered diamond wheel on the nap, analyzes the roller surface grinding grain of dislocation in the matrix, and the phyllotaxis configuration mode of the grinding wheel dressing effect, based on the workpiece roundness, after dressing grinding wheel grinding workpiece surface quality and the microhardness of the data analysis, choose the optimal configuration. The results show that the workpiece roundness of matrix arrangement is slightly better than that of dislocation and leaf order arrangement. The surface roughness and 3D surface topography of the workpiece under leaf sequence arrangement are better than those under matrix and dislocation arrangement. The surface microhardness of the workpiece has no obvious difference under the three arrangement modes. Comprehensive analysis shows that the dressing effect of the roller under the arrangement of abrasive grain leaf sequence is the best.
Research on Joint Control Strategy of Optical Energy Storage System
Authors: Li Jing , Wang Xia , Zhu Gejun , Li Rui , Yang Meijia , Wang Fei 
Published: February 2022

Abstract
The energy storage system in photovoltaic power plants has become the main way to solve the current problems, including the volatility and uncontrollability of photovoltaic power generation, as well as improving the performance of photovoltaic power plants and grids. The energy storage system with reasonable charging/discharging strategies can prolong the service life of energy storage system. This article proposes a method based on the combination of optical power prediction technology and low-pass filtering to decompose the output curve of photovoltaic power plants. High-frequency fluctuations and low-frequency fluctuations are respectively stabilized by the BMS control technology of the energy storage system to avoid frequent overall storage batteries. While charging and discharging affect its life, it can also reduce the impact on the grid and voltage fluctuations. It has a significant practical guiding for planning and constructing optical power-storage stations in the future.
Investigating Thermal Stratification in a Hot Water Storage Tank during Charging Mode
Authors: Kumar Kapil , Singh Shobhana 
Published: February 2022

Abstract
Hot water storage (HWS) tanks are the sensible energy storage systems used to accumulate thermal energy in water for later use. In the present study, a vertical cylindrical HWS tank equipped with three heat exchanger coils to harness energy from different energy sources is numerically investigated. A 2-D axisymmetric model is developed in ANSYS Fluent to simulate and study the dynamic behavior of the HWS tank during charging. Three operating cases with one heating source functioning at a time are analyzed to determine the degree of thermal stratification. Transient temperature and velocity distributions are discussed for the qualitative and quantitative analysis of mixing and stratification in each case. The results assist the design engineers and end-users in determining effective modes of HWS operation with maximum stratification, thus, system efficiency.
Design and Fabrication of Thermoelectric Air-Cooling System
Authors: Daniel Chris , Kumar Shukla Anoop , Sharma Meeta , Kumar Phanden Rakesh , Kumar Ojha Manish 
Published: February 2022

Abstract
A thermoelectric air-cooling system (TEACS) is an innovative technology based on the thermoelectric cooling phenomenon. The absence of heavy moving parts to obtain a cooling effect reduces intense vibrations than the traditional cooling system. Moreover, this system is eco-friendly as harmful coolants are not used or produce any harmful elements such as CFCs. The thermoelectric module works on direct current (DC), heating & cooling phenomena depending upon the direction of current flow. Peltier modules are made up of two unique semiconductor materials, such as Bismuth Telluride (Bi2Te3) in the form of pillars sandwiched between a pair of ceramic plates. This paper covers the design and fabrication of an automated thermoelectric air-cooling system. The Peltier module is sandwiched between two Aluminum heatsinks on each side of the Peltier module. Arduino microcontroller is used to provide automatic temperature control. Air is passed through the cold side, and water is used to reduce the heat on the hot side. This system reached 25°C within 300 seconds and 700 seconds to reach 15°C from 30°C ambient room temperature. The novelty of this TEACS has a COP of 1.13 achieved by careful adjustment of electrical parameters with a cooling capacity of 648 W, and the designs are fabricated by using eco-friendly materials.
Effect of duct geometry on thermal management of PCM – Liquid hybrid PV panel
Authors: Bhandari Radhika , Krishna Devanuri Jaya 
Published: February 2022

Abstract
Abstract In this study, a computational fluid dynamics (CFD) model of a PV panel with different cooling technologies is performed. The basic setup consists of a hybrid PV-PCM system, with absorber plate of 0.25m breadth, 0.5m length and 5mm thickness. The study includes the design and simulation of a three-dimensional photo-voltaic model integrated with a water channel and PCM. A commercial CFD tool ANSYS Fluent is used to analyse the thermal transport. The melting of the PCM is simulated using enthalpy – porosity method. Effect of shape and orientation of duct cross-section on the performance of the system is investigated. The cross section dimensions are chosen so as to maintain negligible difference in the volume on PCM. The Reynolds number in each model is maintained constant (Re = 1500) to have similar flow characteristics, so that only the effect of shape on heat transfer can be analysed. Additionally, a PCM-PV model with circular cross-section duct was modelled and compared to triangular, square, rectangular and ellipse cross-section. From the results obtained, it was found that there was a minimum temperature drop of 20oC between simple PV model and PV-PCM model. Triangular shapes had highest thermal efficiencies, with an average of 46%, Square duct showed better electrical efficiency, with an average of 13.25% with same pressure drop as circular ducts. Orientation of duct showed a huge impact on thermal and electrical efficiencies of rectangular channel.
Performance Investigation of Copper and Aluminium Radiators for Lower HP Tractor Engines
Authors: Sharma Megha , Narayan Vishwakarma Prem , Sharma Ajay , Shubham Pritish 
Published: February 2022

Abstract
Development in the design of heat exchangers in past years has taken the demand and usage of radiators to an improved level. Radiators, known as core components of the engine cooling system are now available in many designs and according to the material used. Selection of type of material, whether aluminum or copper is dependent on cost, heat rejection, convection, conduction thermal properties, and many more. Current radiators are either aluminum or copper. Generally, copper radiators are preferred or used in spite of aluminum being cheap and easily available. This paper will compare the performance and analyze both radiators. The objective of the report is to establish a standard material of radiator for various tractor models. Manual Calculation considerations for different variables, MAC (maximum ambient capability), effectiveness, Nusselt number for radiators, and testing of airflow measurement and water flow measurement at different marked points on the radiator will be illustrated with help of suitable test rigs.