bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fuzzy nonsingular terminal sliding mode control for rigid flexible manipulator
Authors: Xu Lisha , Qian Xiaoshan , Lin Chong 
Published: June 2021

Abstract
In order to solve the precise position control problem of a rigid and flexible manipulator with underactuated variables, the controller of the rigid and flexible manipulator was designed based on the fuzzy nonsingular terminal slip control strategy combined with state feedback. The simulation results show that, compared with the existing basic sliding mode position control methods, the proposed control method has less overshoot, less adjustment time, less input torque jitter, less maximum amplitude of end vibration and less error of end position, which can effectively improve the control quality of the rigid flexible manipulator in the working process.
Electrical Life Test of Small Shell Type Special Contactor and Analysis of Change Trend of Key Characteristics
Authors: Su Jinzhou , Kang Junsheng , Lin Caiping 
Published: June 2021

Abstract
In dealing with electrical fire cases, it is necessary to trace the quality of various electrical products running on the line. It is a very effective and direct way to test the electrical life of the samples of the same specifications and models. The research of electrical life test characteristics can reflect the structural problems, movement performance and other characteristics of the product, which provides a basis for understanding the working state of the product and analyzing the failure reasons. In this paper, a kind of small shell type special contactor commonly used in low-voltage distribution system is taken as the research object, and the variation trend of characteristic parameters such as arcing time, arcing energy and opening phase angle with the operation times of electrical life test is analyzed. Through the establishment of key characteristic quantity database of electrical life, we can better analyze the product performance and grasp the operation status, and provide strong data support for the traceability work caused by its quality problems in electrical fire cases.
An Empirical Study of Evaluation of Library WeChat Micro Service by Mobile Information Network Technology
Authors: Ren Jiasi 
Published: June 2021

Abstract
This research established an assessment mechanism for university library’s micro services from the perspectives of user, information and technology. First, it proposed a Group AHP method based on clustering technique to construct a judgment matrix to evaluate the target system. Second, it conducted an empirical analysis of 8 representative university library WeChat accounts with the fuzzy membership degree function. This paper provides new research perspectives for the WeChat account micro-services, as well as methods to improve their quality and efficiency.
Study on Optimal Operation of AC-DC Hybrid Distribution Network
Authors: Luo Simin , Luan Le , Cui Yiping , Xu Shuo , Guo Qianwen , Liu Tian 
Published: June 2021

Abstract
With the increase of power load and the access of distributed generation, AC/DC hybrid distribution network will become the development trend of urban distribution network in the future. The core of AC/DC distribution and distributed generation are voltage source converters based on full control switches. This paper simply analyzes the operation principle and control mode of voltage source converters, a power flow calculation method of AC/DC hybrid distribution system is proposed, and the optimization model of AC/DC hybrid distribution network with minimum network loss and minimum voltage deviation of DC network is established. The particle swarm swarm (PSO) algorithm is used to solve the calculation. Considering the load disturbance, the droop control is set for each VSC, at the same time this paper compares the advantages and disadvantages of the whole time optimal power calculation and droop control combined with the optimal power calculation method. Then the control mode of the distribution network is proposed. Finally, an example of PG&E 69-node distribution network in the United States is given to verify the correctness of the proposed model and algorithm.
Research and Application of Aptitude Information System and Management Software in Environmental Protection Mechanism
Authors: Wu Xiayun 
Published: June 2021

Abstract
Environmental protection is an important measure to maintain sustainable economic and social development. In response to the increasingly complex external environment and the improvement of lean management requirements of enterprises, the financial management of environmentally-friendly enterprises are an effective way to develop blueprints and strategic goals, and it has an important role to improve corporate efficiency. As an important part of the allergy economy, environmental protection enterprises must innovate their financial management models, improve their budget management systems, actively respond to environmental conditions, and strive to maximize their financial value. Based on this background, this paper takes environmental protection enterprises as an example, analyses the innovative methods of lean management of financial affairs within the enterprise, and hopes to provide new ideas for the financial management of the industry.
A crowdsourcing method for 3D furniture based on parameterized template
Authors: Qiao Biyun , Sun Qun , He Hongyuan 
Published: June 2021

Abstract
With the rapid development of indoor positioning and intelligent robotics technologies, fine-grained location services are approaching. The existing 3D indoor information acquisition and expression methods of furniture are complex and inefficient and cannot meet the needs of high-precision indoor location services. Therefore, this paper proposed a parameterized crowdsourcing method for indoor 3D furniture data based on a model library. This method used a set of classifications and codes of indoor furniture facilities, constructed multilevel feature expression parameters for indoor objects, established an indoor 3D furniture facility model library, and obtained 3D indoor furniture data using the “template + parameters” crowdsourcing method. An indoor furniture data organization model based on 3D parameters was established to manage, store and update indoor furniture facility data. In order to verify the effectiveness of the method, a 3D crowdsourcing system was developed. In the system, the building model was used as the basis for labeling, and the indoor room was the basic unit. The system realizes the functions of indoor scene browsing, 3D furniture data labeling and fast updating. The experimental results prove the feasibility of the crowdsourcing method and provide a new idea for using crowdsourcing for existing indoor 3D data.
Rotary double-layer small high efficiency parking device
Authors: Wang Yuyue , Li Zhenhua , He Kang , Gao Feng 
Published: June 2021

Abstract
In order to solve the problem of urban parking, a rotary double-layer small parking device is designed. By using the rotating double-layer structure, the structure of rotation, frame, lifting and so on is mainly designed, and the device model works are designed and made, and the program design and system debugging of the device model are carried out by using Huiyu ROBO PRO programming software, which verifies the feasibility of the design scheme technology of the device. The rotary double-layer small parking device has a small area and high parking efficiency, which properly solves the problem of parking difficulties in residential areas.
Research on electrical life Trace prediction of contact based on SG-BP algorithm
Authors: Su Jinzhou 
Published: June 2021

Abstract
In order to prevent electrical fire in low-voltage distribution system, it is a very effective measure to predict the electrical life of various low-voltage electrical appliances running on the line. At present, it is difficult to predict the residual electrical life of AC contactors. How to establish a reasonable and reliable prediction model for the residual electrical life of AC contactors is the key to the electrical life test and characteristic research of AC contactors. In this paper, Savitzky-Golay convolution smoothing algorithm is combined with BP neural network algorithm, and the remaining electrical life prediction model of contact is established by taking the arcing time, arcing energy and contact opening phase angle as the input parameters of the prediction model. The test results show that the average relative error of BP residual electrical life prediction model is less than 4%, and the maximum relative error is less than 10%. Combined with Savitzky-Golay convolution smoothing algorithm, SG-BP residual electrical life prediction model has average relative error less than 3% and maximum relative error less than 8%, which improves the prediction accuracy of residual electrical life, and lays a good foundation for making safe and reliable judgment by making better use of electrical life trace data..
Fitness app Application Research Based on big data and algorithm
Authors: Meng Xiangkun 
Published: June 2021

Abstract
This paper analyzes the application of fitness app based on big data and algorithm, and uses literature review and big data analysis technology, Through the analysis of fitness app, it is found that all kinds of fitness app network content is lack of shaping the correct values of practitioners. Through the analysis of the advantages and limitations of moral education in the current fitness app, in order to play the biggest role of moral education in fitness app, and make suggestions for the construction of multi-dimensional moral education.
Dual Mode High Speed Uncooled Short Wave Infrared Camera Based on FPGA
Authors: Liu Qing , Wang Huawei , Bian He , Wang Hua 
Published: June 2021

Abstract
This paper introduces a short-wave infrared camera logic design based on FPGA. The hardware design adopts the architecture of Sofradir Tecless SWIR detector SW640+Xilinx FPGA xc4vsx55, which has a dual working mode of 640×512 at 25 FPS and 64×48 at 4000 FPS. The function of high precision target tracking can be realized by high frequency capture of laser signal. In this design, the non-uniform correction coefficient table in SDRAM cache Flash is controlled by FPGA to correct the image of full resolution mode, and the table of 64×48 is cached by Bram in FPGA to achieve fast image correction and processing. The exposure time is controlled by the external synchronous signal, and the 14 bit precision image data are collected by four ADCs for restoration. The output data is processed by image bad point correction, non-uniform correction, median filtering, histogram equalization, and then the image is packaged and sent by the specified protocol.
Research on Test Method and Sensor of Engine Mount Transmission Force
Authors: Wang Kaiyan , Wang Lingxi , Ren Xiaoxue 
Published: June 2021

Abstract
The engine mount transmission force can be used as an important basis to evaluate the vibration isolation performance of the engine mounting system. However, there is a lack of testing equipment and methods for the transmission force. The force sensor and the test method of the transmission force is studied. The finite element model of the mounting element is established to analyze the arrangement position of the sensor. The force sensor is developed based on the resistance strain gauge. The sensor is arranged in the middle of the intermediate bolt. The test system of mount transmission force is established at the same time. The driving force of driving wheel is obtained through the chassis dynamometer test. The force sensor is calibrated base on the test data. The results of mounting transmission force are obtained through the vehicle road test.
Research on Automatic Braking and Traction Control of High-speed Train Based on Neural Network
Authors: Luo Mingyu , Ke Qian , Li June 
Published: June 2021

Abstract
With the rapid development of economy and technology, people’s quality of life has been continuously improved, which also makes people put forward higher requirements for the quality of transportation. As far as railway transportation is concerned, the running speed and route of trains in the past gradually failed to meet people’s travel needs. Automatic train operation system (ATO), under the protection of automatic train protection system, realizes automatic train driving according to the instructions of automatic train supervision system, and can automatically control the starting, traction, cruising, idling and braking of trains. Traction drive system is the core part of high-speed train, and traction drive converter technology is one of the key technologies of high-speed train. In this paper, according to the different working mechanism of traction and braking, the dynamic model of train under traction and resistance braking is established by combining neural network algorithm, and the corresponding controller is designed by using nonlinear backstepping design method to realize automatic tracking of train speed and position.
Estimation Algorithm of Ionospheric Delay Correction Parameters Based on Neural Network
Authors: Feng Weichen 
Published: June 2021

Abstract
Aiming at the difficulty of separating the ionospheric delay error in the user pseudoring observations of a single-frequency receiver, this paper proposes an error separation method based on BP neural network. The receiver’s observation data for a continuous week is used as a training sample, and the time in the sample is the satellite altitude, azimuth and pseudoring observations are used as the input unit of the BP neural network. The high-precision GIM provided by CODE is used to calculate the corresponding ionospheric delay error, and it is used as the output unit to train the BP neural network. At the end of the thesis, the single-frequency PPP model that uses parameter estimation in the ionosphere is discussed. Finally, the positioning accuracy that this model can achieve is verified through actual calculation examples.
A Classifier of Railway Power Supply Equipment Concern Importance Based on Ensemble Learning
Authors: Zhang Lei , Wang Tianbing , Yu Shengcan , Yu Tao 
Published: June 2021

Abstract
It is of great significance to evaluate the condition of equipment and identify the degree of important concern of equipment for formulating reasonable condition maintenance strategy and ensuring the safe and stable operation of railway power grid. In view of the characteristics that the overload operation state and maintenance interval of equipment are closely related to the equipment state level, the evaluation feature vector composed of five indexes, including overload time of heavy overload equipment, whether the central power supply equipment is in the city center, unrepaired time of equipment, whether it is the power supply equipment and the voltage level of equipment is maintained, is constructed in this subject. In addition, based on the Stacking ensemble learning framework, a hybrid ensemble learning framework algorithm is proposed, which combines the single Bagging and Boosting framework algorithms, and realizes the mapping between feature vectors and importance levels. The data of actual railway power grid equipment are substituted into the model for analysis, and the model is compared with the random forest model based on single ensemble learning algorithm. The simulation results show that compared with other ensemble learning algorithms, the accuracy of equipment state evaluation is significantly improved by using the combination model of stacking ensemble learning method.
Research on transformer fault diagnosis based on GWO-RF algorithm
Authors: Wang Tianbing , Zhang Lei , Wu Yufeng 
Published: June 2021

Abstract
Efficient fault diagnosis of power transformer can effectively ensure the safe and stable operation of power system. Considering that the effect of traditional Random Forest (RF) is seriously affected by the initial parameters, this paper proposes a RF algorithm based on Grey Wolf Optimization (GWO-RF) to improve the accuracy of transformer fault identification. The algorithm uses GWO to optimize the total number of decision trees and the depth of the maximum decision tree, effectively balancing the accuracy of the RF model with the ability to generalize. In this paper, the Dissolved Gas in oil is taken as the fault characteristic quantity, and 335 sets of data are used to form the fault set. Three different data sets are verified by GWO-RF, traditional RF and IEC three ratio method. The experimental results show the effectiveness of GWO-RF method.
Research and Design of Small Semi-Automated Beach-Lawn Cleaning Vehicle by Optimizing the Vibrating Screen Module
Authors: Chen Yujiang , Sun Shuyuan 
Published: June 2021

Abstract
Aiming at the problems of garbage pollution on beaches and lawns, and delays in cleaning up, a small beach was designed. The lawn cleaning vehicle can fill the gap of small sanitation machinery, improve work efficiency and reduce labor intensity. The cleaning vehicle has two working modes: human work and automatic cleaning, which can adapt to different terrains and meet a variety of cleaning needs; it can achieve process-based cleaning through the cleaning module, vibrating screen module and collection module, and it is easy to operate; it can be applied to beaches and lawns, etc. Recreation sites, reducing garbage pollution to the ocean and soil, are inevitable choices for protecting natural resources and developing urban economy, and have good energy-saving, emission-reduction and social benefits.
Optimized Design of Aluminium Bumper by Impact Test and Computer Simulation Analysis
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: June 2021

Abstract
Aiming at target steel car bumper new lightweight design, with a target vehicle steel bumper static crushing, three static pressure and impact test and simulation analysis based on the performance parameters, design targets bumper car aluminum alloy box, the section size of anticollision beam and the energy absorption and the materials they need to determine the aluminum bumper performance. The three-point static pressure method is used to optimize the design of the anti-collision beam. Because the loading condition is relatively simple, the optimization function of optistruct is used to optimize it to determine the cross-section shape and size of the anti-collision beam.
Crashworthiness Optimization Design of Minibus Structure
Authors: Ling Tianli , Yu Zheng 
Published: June 2021

Abstract
This paper built the 100% frontal crash model of the minibus, 8 thickness of the components which have obvious effect on vehicle crash performance were selected as design variables, and choose the appropriate evaluation index as the responses. Use DOE experimental design method to get 70 set training data and built Kriging approximate model based on the training data. The approximate model is optimized by PSO algorithm, in the optimized scheme, the a
max and m has decreased by 7.6% and 0.87%, D1, D2 and D3 has decreased by 7.7%, 3.1% and 5.3%.
Design and research of central air conditioning air purifier
Authors: Zhang Qingqing , Wan Zhiqiang 
Published: June 2021

Abstract
Central air conditioning type ultraviolet light air purifier, its sterilization and disinfection is mainly through ultraviolet sterilization. Ultraviolet rays penetrate the cell membranes of various microorganisms, and destroy their DNA structure, resulting in the destruction of their nucleic acid molecular bonds, so as to achieve a variety of bacteria or immediately die or reproduce the purpose of the offspring.
Design and dynamics analysis of intelligent modular cabinet parking device
Authors: Song Mengmeng , Xiong Zicheng , Xiao Shungen 
Published: June 2021

Abstract
With the development of economy and the rapid increase of car ownership, as well as the shortage of land resources in the city, it brings an upgrading opportunity to the traditional parking industry, that is, to develop towards the three-dimensional garage direction. Based on this, this paper puts forward a set of intelligent modular cabinet parking device, which is mainly used in urban community. The device adopts a 3×3 modular cabinet type frame structure, which can not only be controlled by wireless connection of mobile phone, but also be controlled by observing dynamic display film keyboard. The control system of the garage can automatically dispatch the vehicles that are about to be stored in the garage, according to the current storage situation of the vehicles in the garage. It can also make free manual selection through the Arduino system.
Design and Research of Automatic Test Control System for Electric Energy Metering Equipment
Authors: Zhou Yuanfeng , Ding Haili , Hu Tingting , Liu Pengyuan 
Published: June 2021

Abstract

Design an automatic test control system for electric energy metering equipment to realize automatic detection of smart electric energy meters and collection terminals. Use data processing technology, data storage technology, data transmission network technology, and automated instrument analysis technology to realize information management and quality control. The test detection system realizes information collection, processing, storage, transmission, analysis and summarization of various detection businesses, and provides quick and efficient query services, forming the multi-level business processing capabilities of the metrology and testing center, and establishing an efficient, true, and accurate modern detection system.
Research on Status Monitoring and Fault Alarm Device of Drop-out Fuse
Authors: Ju Zeli , Xing Wei , Duan Wei , Sun Haofei , Sun Xin , Liu Shulin 
Published: June 2021

Abstract
Drop-out fuse is a common circuit protection device. When a short fault occurs in the circuit, the fusion pipe will drop and the fuse will be disconnected, so as to isolate the fault line. However, in practical application, there is no reliable means and device for remote monitoring, resulting in the failure information can not be found in time. Although the traditional drop-out fuse alarm device can play the role of fault alarm. It has the disadvantages of large time difference and high cost. Based on this, a set of status monitoring and alarm device according to the drop characteristics of drop-out fuse after failure has been developed. The inclination and temperature of the fusion pipe are monitored by sensors in real time, and the data is sent to the master station through wireless communication. When a fault occurs, the operation and maintenance staff can be notified in time to repair the fault point. Through experimental demonstration, it can be concluded that the fuse status monitoring and fault alarm device has stable performance, convenient control and high cost performance. If it is applied to the distribution network, it can shorten the outage time, reduce economic losses and increase user satisfaction.
Deduction of Artificial Intelligence Calculation Theory in Electrical Engineering Automation
Authors: Meng Bin , Ji Xinyang , Hu Gaoshan 
Published: June 2021

Abstract
In order to overcome the shortcomings of manual on-site confirmation of switch position status in smart substations, realize automatic identification of circuit breaker and isolating switch positions, and improve the remote monitoring capability of switchgear in substations, the paper designs and studies a set of remote substations based on bilateral filtering dissipation algorithm Switch equipment state image recognition system. The system takes SIFT, image gravy method, binary method, Hough transform and other theoretical algorithms as the core, and uses high-speed DSP chip as the platform to divide and combine the switch images collected by the CCD camera. Status identification, and then upload the monitoring picture to the remote monitoring room via Ethernet. Invested in experimental research and found that the identification system is accurate and fast to distinguish the switch status, which can greatly improve the safety and efficiency of switchgear monitoring, and has a high promotion value.