bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inverter Control Strategy Based on Improved Deadbeat Control and QPR Compound
Authors: Wang Zhihao , Sun Xianbo , Wu Yuhan , Yang Pengfei 
Published: May 2021

Abstract
In the process of photovoltaic power generation, it is particularly important to choose a suitable inverter control strategy. Aiming at problems such as the poor dynamic response of the traditional controller in the three-phase LCL grid-connected inverter, the current harmonic disturbance caused by the grid voltage distortion and the inability to achieve the optimal tracking of the AC quantity, this paper presented a method to control voltage by fuzzy PI, control current by discrete QPR and improved DBC. In the voltage outer loop, the fuzzy control principle was used to adjust the P and I parameters in real time, and its output was used as the reference value for the current inner loop. In the current inner loop, the repeated control improved deadbeat and discretized form of QPR were used for compound control. The simulation results show that the control strategy greatly improves the distortion of the grid-connected current, which can optimally track the AC volume, and makes the entire system have good stability and dynamic response capabilities.
Design of Multi-angle Motion Control System for The Servo
Authors: Han Song , Xu Linsen 
Published: May 2021

Abstract
The servo is mainly used in the control system where the angle is constantly changing. In order to realize the multi-angle motion control of the servo, the pulse width modulation (Pulse Width Modulation, PWM) is used as the mechanism and combined with Proteus software for simulation analysis. In the Proteus environment, the AT89C52 chip is used as the control core, and two different buttons are used to control the forward and reverse rotation of the servo. The rotation angle of the servo can be changed according to the number of button closures. In order to see the results of steering and angle changes of the servo more clearly, a combination of nixie tubes and light-emitting diodes (LEDs) is used to present it. The experimental simulation results show that the servo can meet the requirements to achieve multi-angle motion.
Research on Low Power Design Technology of HPLC
Authors: Zhou Chunliang , Hao Yan , Zhang Xiaohui , Li Zheng , Tang Xiaoke 
Published: May 2021

Abstract
Power line communication (PLC) is widely used in electric power Internet of Things (IoT). Its performance, including data rate and anti-interference ability, has made great breakthroughs from Narrowband PLC (NB PLC) to high-speed PLC (HPLC) in recent years. In the context of continuously improving functions, the power consumption of HPLC is gradually increasing, this is equivalent to increasing the line loss of power transmission, which has an adverse effect on the large-scale deployment of HPLC. This paper analyses the structure of HPLC chip and communication unit, mainly exploring the low power design technology from chip architecture design, frequency band selection, physical layer (PHY) design, and MAC layer process. Currently the latest HPLC chip has been developed successfully, and the corresponding communication unit have started large-scale applications, and lab test and field application results show the HPLC can well meet the power consumption requirements in electric power IoT.
Application of printing defects detection based on visual saliency
Authors: Zhang Fuqian , Li Yeli , Zeng Qingtao , Lu Likun 
Published: May 2021

Abstract
Visual saliency means that when humans observe a certain area, humans automatically process the area of interest and selectively ignore the uninterested area. This local area is called the saliency area. In recent years, people have introduced image processing and pattern recognition detection methods based on visual saliency to simulate the biological visual attention mechanism, and achieved good results. This paper focuses on the process of printed product defect detection, analyzes the application of visual saliency in printed product detection in recent years, summarizes and compares the advantages and disadvantages of various printed product detection methods, and discusses future development trends.
Evaluation of Air-conditioning Load Adjustability Based on Load Plasticity
Authors: Yang Xingang , Liu Jiayu , Zhou Jian , Du Yang , Wang Min , Chen Yuan 
Published: May 2021

Abstract
The air-conditioning load is an important part of the power system’s peak load, significantly impacting the power grid’s safe and stable operation. Therefore, it is necessary to evaluate the air-conditioning load’s adjustment potential, providing a reference for the power grid to formulate a reasonable dispatch plan, participate in the demand-side response, and alleviate the insufficient power-side regulation capacity caused by the large-scale access of intermittent renewable energy. This paper mainly obtains the air-conditioning load curve under different conditions through the characteristics of residents’ electricity usage behavior and analyzes the adjustable air-conditioning load capacity based on load plasticity.
Design of an anti-interference multi parameter sensor
Authors: Zhang Desheng , Zhang Ziliang , Li Qiwei 
Published: May 2021

Abstract
Aiming at the shortcomings of single function, easy to be affected by underground background gas and weak anti-interference of current mining environment parameter sensor, an environment multi parameter sensor is designed, which can simultaneously detect three parameters of methane, carbon monoxide and temperature in the environment. The interference of background gas is eliminated by optical identification method, and the reliability of temperature detection is realized by thermal resistance isolation module. At the same time, the filter circuit of the sensor is optimized, the interference suppression frequency band of the filter is expanded, the anti electromagnetic interference ability of the sensor is improved, and the problem of false alarm caused by the interference of large-scale frequency conversion equipment on the sensor is solved. The experimental results show that the sensor has strong anti-interference and high reliability.
Global Two-Stream Network for Temporal Action Proposal Generation
Authors: Lei Zhou , Wang Junzhou , Chen Shenbo , Niu Dawei 
Published: May 2021

Abstract
Temporal action detection is a practical but challenging task. The current temporal action detection task has major shortcomings in the accuracy of proposal generation. The extraction of long-range temporal information features and the fusion of two-stream features for the task of temporal action proposal generation are still a challenge that needs to be improved. In this paper, we propose the Global Two-Stream Network, which innovatively introduces the Non-Local operation to extract the global background information from the features of the generated candidate proposals. And the backbone network of two-streams is used for better utilization of two-stream features to generate temporal action proposal segments with precise bounds and high confidence.
An EAOW algorithm to optimize the throughput in ad-hoc network in emergency communication environment
Authors: Wang Yun , Wu ZengLiang , Xie TangYao , Yu JianGuo 
Published: May 2021

Abstract
For improving the throughput of wireless ad-hoc networks in emergency communication environments, this paper proposes an enhanced adaptive on-demand weighted clustering algorithm. The clustering algorithm is very important in heterogeneous wireless ad-hoc networks, but the widely used AOW algorithm has certain limitations. Combined with the emergency communication environment, this article first analyzes the importance of clustering algorithm in improving network throughput, and secondly introduces and analyzes the two shortcomings of the AOW algorithm. On this basis, an enhanced adaptive on-demand weighted clustering algorithm (EAOW) is proposed. In the EAOW algorithm, each weight factor is dimensionlessly processed, and the properties of the nodes are added to the heterogeneous network. The simulation results show that compared with the AOW algorithm, the EAOW algorithm has an obvious progress in the number of cluster heads and the network throughput.
Distributed transmission technology of node status in distribution network
Authors: Tan Kuo , Wu Hai , Hu Guo , Chen Hui 
Published: May 2021

Abstract
With the rapid development of distribution network automation and the construction of DC distribution network and AC / DC hybrid distribution network, the network operation mode is more flexible. If the distribution network wants to realize rapid load transfer, such as the connection of power supply, upstream and downstream fault isolation signals and other node states need to be quickly identified. At present, the node status identification of distribution automation is basically completed by the master station. However, the master station has poor real-time transmission of status information, which is generally in seconds or minutes, and can not meet the demand of real-time load transfer. In this paper, a distributed real-time transmission method of AC and DC distribution network node status is constructed for distribution automation system. Based on IEC61850 goose communication protocol, the real-time transmission of node status is realized in distribution automation terminal. In this method, the positive direction of each tie switch is defined, which is independent of power flow direction, and the tie switch is distinguished along the user-defined positive direction When multiple tie switches have the same upstream node, they are each other’s t nodes. Each tie switch needs to be equipped with a distribution automation terminal with goose communication capability. According to different control strategies, the distribution automation terminal can realize millisecond level node state transmission step by step. Node state can be divided into unconditional transmission state and conditional transmission state. The distributed real-time transmission technology of distribution network node state proposed in this paper has been successfully applied to Tongli integrated energy service The center and Suzhou medium and low voltage DC project lay the foundation for the realization of loop closing, loop breaking control, fast fault isolation and power transfer control strategies.
GPS Positioning Error Compensation Based on Kalman Filtering
Authors: Zhu Wenjiu , Hou Jie , Liu Zhengqiong , Ding Zhizhong 
Published: May 2021

Abstract
GPS is a widely used navigation signal in road traffic, bringing great convenience to transportation. However, when it is used in advanced driving assistance system (ADAS), the positioning accuracy cannot meet the needs of applications and the positioning error could reach to ten meters. In order to improve the positioning accuracy, the Kalman filtering and extended Kalman filtering are adopted. By appropriate kinematic modelling and actual data collection, the approach is shown to be effective to improve positioning accuracy in the sense of probability.
Intelligent mine vehicle terminal antenna based on LTCC technology
Authors: Zhu Kui , Liao Tongqing , Liu Yan 
Published: May 2021

Abstract
A new type of laminate antenna for smart mining vehicle terminal based on low temperature co-fired ceramic (LTCC) technology is proposed. This antenna adopts a simple structure on an LTCC substrate which consists of two layers of rectangular radiating patches with cut corners and a gap inserted in the middle. A laminate structure is designed to cause dual-frequency resonance in order to expand working bandwidth further. A good circular polarization performance can be obtained by adjusting the gap and cut corner size of the upper and lower radiation patches. The software HFSS is used for simulation design. It can be seen form simulation results that the impedance bandwidth(IBW)of the antenna with return loss less than-10dB is 102MHz, ranging from 2.507 to 2.609GHz, and the size of the antenna is 25 × 28×4.6 mm3.
PREDICTION OF MACHINE TOOL ROUGHNESS BASED ON ANN
Authors: Jiang Hanfeng 
Published: May 2021

Abstract
This paper presents a method based on ANN to predict the surface roughness of parts in machining process. The mathematical simulation software MATLAB is used to establish the ANN model, and it is found that the error between the predicted value and the actual data is very small, between 6 % and 15 %. This method can combine artificial neural network with machinery, which is instructive for future research. This method has low operation threshold, does not need too complex geometric operation, only need a lot of data can get good results. Therefore, the ANN method can be used to predict and control the surface roughness of the workpiece.
Research on 5G Key Technologies and Challenges
Authors: Chen Hangtong 
Published: May 2021

Abstract
Communication technology is an essential science and technology in today’s society. In this era of rapid development, 5G communication technology is more widely used, but it also faces many challenges and opportunities. This paper firstly combs the communication methods of different times and analyzes some bottlenecks of communication science. Then the key technologies of 5G communication are discussed including MIMO, sparse multiple access, full duplex. A detailed study of the problems faced by the 5G is carried out in this paper, and the problems of the frequency band, spectrum, system capacity, cost and terminal equipment are analyzed. It provides a reference and benchmark for further research of scholars in the future.
Integrated Waveform Design for Centralized MIMO-OFDM-BPSK-LFM Radar Communication
Authors: Ma Qicheng , Lu Jianbin , Liu Duo , Kong Yunfan 
Published: May 2021

Abstract
Because the signal amplitude corresponding to the phase of BPSK modulation is ±1, it’s autocorrelation function is shaped like a mountain peak. The fuzzy function of BPSK-LFM is multiplied by two parts, the left part is the fuzzy function of the standard LFM signal, and the right part is the autocorrelation function of the BPSK communication symbol, which won’t change with the random change of the communication symbol. Therefore, the fuzzy function performance of BPSK-LFM signal is better than that of LFM signal, but the transmission rate of communication is low. The shape of the fuzzy function will change with the change of random communication symbol in QPSK-LFM and 8PSK-LFM modulation. OFDM multi-carrier modulation can improve spectrum efficiency and communication transmission rate. MIMO technology can multiply channel capacity and spectrum efficiency without increasing signal bandwidth B. As a result, the integrated radar communication signal designed in this paper is a centralized MIMO-OFDM-BPSK-LFM signal. The distance between receiving antennas and transmitting antennas is very small in centralized MIMO radars, which is easy to place together.
Inverse synthetic aperture radar imaging method of complex maneuvering target based on instantaneous autocorrelation function – chirp Fourier transform
Authors: Liu Fengkai , Huang Darong , Li Yuxi , Zhang Hongliang , Han Ning 
Published: May 2021

Abstract
As the maneuverability of aerial targets increases, in the process of using traditional imaging algorithms to image complex maneuvering targets, the results obtained will inevitably appear defocus and blurring. In order to achieve high-resolution imaging of complex maneuvering targets, the inverse synthetic aperture radar (ISAR) imaging method for complex maneuvering targets based on instantaneous autocorrelation function-chirp Fourier transform (IAF-CFT) is proposed in this work. The method first uses IAF to reduce the order of echo, and then chirp Fourier Transform is used to estimate the echo parameters. Finally, the CLEAN technology is adopted to reconstruct the echo and get the result of ISAR imaging. The simulation results prove the effectiveness of this method.
Analysis of SSO in DFIG grid with series compensation
Authors: Wang Shujie , Wen Jun , Niu Yukun , Ma Limin 
Published: May 2021

Abstract
Doubly fed induction generator (DFIG) has become the most widely used type of wind power generation due to its superior technical performance. Series compensation technology is widely used in large-scale and long-distance wind power transmission system because of its high cost performance and significant improvement of transmission capacity. However, it may cause subsynchronous oscillation (SSO). This paper first introduces the definition and harm of subsynchronous oscillation, and then analyzes the advantages and disadvantages of series compensation technology, as well as the mechanism and suppression measures of subsynchronous oscillation of DFIG connected system through series compensation. Through modeling and simulation analysis, the suppression effect of additional subsynchronous damping controller (SSDC) on subsynchronous oscillation of DFIG control system is verified.
A Quantum MMAS Based Algorithm for Multicast Routing Problem
Authors: Li Yalong , Wei Wang , Jing Sun , Jie Wan 
Published: May 2021

Abstract
For solving the problem of multicast routing, ant colony algorithm (ACO) has insufficient optimization ability. The paper proposes a routing algorithm which combines quantum computing and max min ACO. The algorithm uses quantum bit probability amplitude to encode the link, and dynamically adjusts quantum revolving gate to update the quantum coding on the link, so as to meet the cost optimization under constraint conditions, combined with the maximum and minimum pheromone decision mechanism to find the optimal link path, effectively control the evolution speed and direction, and enhance the convergence performance of the algorithm. The simulation results show that the algorithm can effectively control the evolution speed and direction, and is better than ant colony algorithm in the optimization ability and convergence performance.
Visual odometer method based on improved ORB feature
Authors: Wang Xiaonan , Liu Feifei , Xue Yaxin 
Published: May 2021

Abstract
The original ORB feature detection algorithm has many problems, such as uneven distribution of feature points, many feature mismatches and poor robustness. A visual odometer method based on improved ORB is proposed. First of all, in order to solve the problem of low extraction efficiency and uneven distribution in the process of key points extraction, an improved quadtree algorithm is proposed which set an appropriate quadtree depth for the image pyramid layer to improve calculation efficiency and filter key points. Secondly, aiming at the problem of mismatching in the feature matching process of adjacent frames, the PROSAC algorithm improved based on RANSAC is used to sort all the sampling points according to the matching quality, and the matching point pairs with good quality are selected to improve the matching accuracy. The experimental results shows that the improved visual odometer method has higher accuracy and less calculation time than the original algorithm.
Design of a Semi-physical Simulation and Testing system for Space Robot Operating platform
Authors: Qiu Xin-An , Ma Dong-Tao , Wei Zhi-Ming , Zeng Zheng-Lin , Lei Zhi-Guang , Zhu Bo 
Published: May 2021

Abstract
In view of the importance and complexity of the control and execution tasks of the space robot, the development of a real test environment has the risks of high cost and long cycle. Therefore, a semi-physical simulation and testing system is designed for the space robot operating platform. The system is composed of a robotic arm console, a central control system, a fusion system, a position tracking system, etc., to realize the verification of the hardware electrical interface, software algorithm logic and task operation process of the robotic operating platform. Through the realization of 3D animation demonstration of the robot operation, motion tracking and other simulations, the semi-physical simulation and testing system has a higher visualization and a stronger sense of experience, and can simulate the complex operating conditions of the system on orbit. At present, the simulation and testing system has been successfully applied to the ground test of the space robot operating platform, and its reliability and simulation verification effect are better.
Detection method of robot grasp based on lightweight network
Authors: Zhang Luyuan , Piao Yan , Liu Yuheng 
Published: May 2021

Abstract
When the robot arm uses the suction cup to grasp the task, it is faced with an unstructured scene, and it is difficult to accurately calculate the grasping posture of the robot due to the irregular placement of the object and its irregular shape. To solve this problem, a grasping detection method of manipulator based on lightweight convolutional neural network was proposed. Firstly, the Mobile Net-YOLOV4 algorithm based on lightweight convolutional neural network was used to detect the target object in the image, and the classification and location information of the target were obtained. Then according to the final detection results of the image threshold segmentation, the anchor point is corrected, and finally the corrected positioning result is obtained. The grasping experiment was carried out on the Probot anno manipulator platform. The experimental results show that, compared with other image processing methods, the proposed method can realize fast detection and location of irregular target objects, and has better robustness for the diversity of object morphology and environment.
Personnel precise positioning system of coal mine underground based on UWB
Authors: Chen Wei 
Published: May 2021

Abstract
For short positioning distance, low positioning accuracy and location data jumping of personnel positioning system of coal mine based on Bluetooth, WiFi, RFID, Zigbee and so on, a precise positioning system was proposed which is based on UWB technology. The principle of UWB positioning technology and symmetrical two-way two-way ranging (SDS-TWR) algorithm is analyzed and applied to the system. According to the characteristics of coal mine roadway, a single card reading substation can be used to independently network and realize one-dimensional accurate positioning of positioning card. The experimental results show that the UWB technology meets the positioning requirements of the system, the algorithm is flexible, the refresh rate is fast, the positioning error is not more than 0.3m, and the coverage reaches 400m.