bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research status of optical fiber voltage transformer
Authors: Zhao Yonghui , Wang Liming , Zhou Yang 
Published: May 2021

Abstract
Optical fiber voltage transformer (OVT) has the advantages of good insulation, bandwidth, and small size, and has good development prospects and application requirements. Through combing and analysis, the article summarizes the development and changes in the past ten years from the four parts of sensing probe, sensing fiber, optical information extraction and light source according to the basic principles of the OVT measurement system, analyzes the potential development direction, and finally discusses The main problems encountered in the current OVT research, and some suggestions have been put forward.
Research on Active Power Filter Based on Linear Active Disturbance Rejection Control
Authors: Zhou Gaohan , Xiong Hejin , Yin Zidong 
Published: May 2021

Abstract
In view of the key technology of active power filter (compensating current tracking control) to solve the harmonic problem of power system, the traditional PID control has defects and is divorced from the engineering practice. However, ADRC inherits the advantages of PID control and modern control theory. Without knowing the specific mathematical model of the object and the specific form of the external disturbance, it can compensate the internal disturbance while suppressing the external disturbance. It has strong robustness and adaptability. However, the traditional nonlinear auto-disturbance rejection technology has too many parameters, which hinders its wide application. Therefore, we introduce linear auto-disturbance rejection technology and design a current tracking control system of active power filter based on linear auto-disturbance rejection, which makes the control performance of active power filter more ideal and more widely used. Simulation experiments verify the feasibility of the study.
A Comprehensive Evaluation Model for Microgrid with CCHP
Authors: Yuan Shuangchen , Wu Zhijia , Yan Long 
Published: May 2021

Abstract
Microgrid with multi-energy complementarity is of significance to improve energy utilization efficiency and achieve sustainable development. The combined cooling, heating and power(CCHP) system can output electricity, heat energy and cold energy, and are widely used in microgrid. The popularity of CCHP in microgrid brings great challenges to the evaluation of microgrid. In this paper, a comprehensive evaluation model for microgrid with CCHP is proposed. The model can reflect the characteristics of microgrid with CCHP from five aspects, economy, environmental protection, reliability, energy efficiency and technicality. Then the combined ANP and entropy weight method is proposed to solve the evaluation model. In a numerical test, by comparison with different schemes of microgrid, the proposed evaluation model and method prove to be effective.
An emergency control strategy considering variable frequency air conditioning load
Authors: Yan Hanzhe 
Published: May 2021

Abstract
As a high-quality flexible load, variable frequency air conditioning load has the potential to respond quickly to emergency control without significantly negative impact on users. This paper presents an emergency control strategy considering aggregated variable frequency air conditioning load. First, the operation principle of air conditioning is introduced, and a single air conditioning model is established. On this basis, the two control methods are compared and analyzed, and the impact of location on emergency control strategy is considered. The effectiveness of the emergency control strategy is verified by an example simulation.
Stability enhancement of top-gate self-aligned tin-doped indium gallium oxide thin film transistor by low temperature annealing
Authors: Zhuo Yi , Wu Weihua , Liu Zhaosong , Hsu Yuan-Jun , Zhang Shengdong 
Published: May 2021

Abstract
Top-gate self-aligned IGTO TFTs were used as an example to study the contradiction of uniformity and PBTS stability when developing TFT with high mobility. High intrinsic carrier concentration restricted the tuning of SiO2 deposition. To ensure the uniformity, relatively higher power was employed for GI deposition to reduce donor-type oxygen vacancies. Deep electron traps formed by excess oxygen lead to poor PBTS stability. The PBTS stability was improved without deterioration of uniformity by introducing low temperature (200 °C) annealing, to control hydrogen diffusion from ILD layer which would passivate the electron traps.
A New Dynamic Simulation Test Method of Intelligent Electricity Metering System
Authors: Xue Yang , Song Runan , Yang Yining , Wang Cong , Yang Liu 
Published: May 2021

Abstract
Electricity metering is the core supporting technology for realizing accurate perception of electricity consumption, reasonable dispatching of power grids, rapid market response, diversified charging and new forms of electricity marketing. However, due to the significant differences in the actual metering environment, the operation of the electricity metering and information collection system is unstable, showing many problems such as unsuccessful parameter delivery and low acquisition success rate, which severely restricts the development of smart grid two-way interactive technology and the realization of smart electricity consumption in the last mile. There is an urgent need for a reliable and accurate dynamic simulation and systematic testing method to realize the reproduction and testing of various field faults. In this paper, we propose a new type of dynamic simulation test method for intelligent electricity metering system, which can realize the performance test, fault dynamic simulation, location and recovery of each functional unit of the master station, collection terminal and smart meter. Through experimental testing, our dynamic simulation test methods can realize the rapid recurrence of on-site problems, improve the high reliability and normal operation of the electric energy metering information collection system.
Fully-integrated DCDC buck converter based on PID algorithm
Authors: Yang Zijiang , Jia Chenqiang , Liu Huimin 
Published: May 2021

Abstract
With the continuous development of power supply technology, the application of power management chips becomes more extensive, and the requirements for fully integrated power management chips are getting higher. This paper designs a buck converter with a fully integrated digital control circuit and power circuit with an output voltage of 2V. In voltage mode, digital pulse width modulation (DPWM) technology and PID algorithm are used, and a digital closed-loop control buck circuit system is designed by cadence tools. The performance of analog and digital closed-loop control circuits is compared at the same buck power stage. Under rated load conditions, the lock-up time of the digital control buck circuit is 826us, the output voltage ripple is 14.75mV, the response time of load sudden change at light load is about 900us, and the response time of load sudden change at heavy load is about 2ms.
Simulation and comparison of distributed target detectors in compound Gaussian background
Authors: Huang Xiaodong , Jian Tao , He Jia , Tong Zhuo 
Published: May 2021

Abstract
In the non Gaussian background modelled by compound Gaussian distribution, a variety of distributed target detectors are addressed. Firstly, the detection statistics of different detectors are given. Then, the detection performance of five detectors is compared when the non Gaussian clutter covariance matrix is known. Secondly, when the non Gaussian clutter covariance matrix is unknown, a two-step architecture is adopted. Based on the same estimation method for non-Gaussian clutter covariance matrix structure, seven adaptive distributed target detectors are introduced and compared. Finally, through comparative analyses, the applicable conditions and application range of different detectors are summarized, which provide a theoretical reference for the practical application of radar target detection.
Research on anti-jamming and anti-interception performance of MC-CDMA system based on Code-Hopping
Authors: Wei Hong , Xu Li , Tao Jing 
Published: May 2021

Abstract
In the wireless channel environment, there are all kinds of jamming. With the wide application of OFDM Technology in wireless communication system, the technology of signal analysis is becoming more and more mature. Pure OFDM signal exposed in the wireless channel is no longer safe, facing the risk of jamming and interception, especially in the military field. Multi-carrier Code Division Multiple Access (MC-CDMA) technology is what combines the characteristics of OFDM and CDMA. It has the advantages of OFDM system and CDMA system at the same time. It reduces the transmission rate and improves the reliability. Compared with OFDM system, MC-CDMA has better BER performance in the same SNR environment. Based on the single user MC-CDMA system, the system model and simulation analysis are carried out, and the performance comparison with OFDM system is carried out. Based on the above work, the theory of code hopping spread spectrum is introduced to design a new code hopping spread spectrum system based on MC-CDMA, and the anti-jamming and anti interception performance of the system is analyzed.
Application of 5G in Electric Power Inspection UAV
Authors: Li Haoyang 
Published: May 2021

Abstract
At present, under the background of the social development of the increasing popularity of 5G technology, the automatic inspection of power lines through 5G UAV has become an inevitable demand for the development of smart grid. 5G has brought advanced technical advantages to the power inspection UAV, overcoming the difficulties in flight environment, data transmission and image analysis. The use of 5G UAV realizes the intelligent panoramic operation of power inspection and is an important means to ensure the reliable operation of power grid. However, due to the constraints of relevant factors, the use of 5G inspection UAV is both challenging and imperative in the future. This paper mainly introduces the basic meaning and advantages of 5G technology and UAV, compares and analyzes the differences between manual inspection, traditional UAV and 5G UAV in power inspection, discusses the technical advantages of 5G UAV, and combines with application cases to prospect the development prospect and trend of 5G UAV inspection.
A Lightweight Secure Access Protocol for Collecting Terminals in Power Internet of Things based on Symmetric Cryptographic Algorithm
Authors: Zhao Yingjie , Zhai Feng , Liang Xiaobing , Miao Siwei , Zhu Yayun 
Published: May 2021

Abstract
In the development of Power Internet of Things, the types and number of terminals accessing to the power grid information network are growing rapidly, and the demand for identity authentication for master station and terminal is also increasing. This paper analyzes the characteristics and security access requirements of Power Internet of Things, then designs a security access protocol based on symmetric cryptographic algorithm for meters with limited manufacturing cost, computing power and storage resources. This protocol only uses the symmetric cipher algorithm with high computing speed and low resource consumption, which can realize the two-way identity authentication between the meter and the master station and update the session key for meter and master station based on the random initial value of the counter to establish a secure transmission channel. Finally, compared with other protocols, the proposed protocol is also effective in security and performance.
Miniaturized dual-bandpass filter based on dual-mode ring and CPW feeding
Authors: Li Shu Lun , Zang Pu Yang , Wang Peng Cheng 
Published: May 2021

Abstract
In this paper, a miniaturized dual-bandpass filter based on dual-mode ring and coplanar waveguide (CPW) feeding is proposed. The filter is composed of two square dual-mode rings embedded with each other, and the inner ring adopts an arrow structure to realize capacitance loading to achieve miniaturization. Compared with the parallel coupling feeding structure, the CPW feeding method has design structure flexibility and better electrical performance. The designed dual-band filter is fabricated and measured to validate the present approach.
Research and Application of Intelligent Street Lamp Platform Based on Ubiquitous Internet of Things
Authors: Zhou Baozhu , Liu Yuheng , Xie Yu , Wang Junpeng , Hao Zeqi , Meng Jian 
Published: May 2021

Abstract
In order to meet the needs of smart cities for intelligent infrastructure, the intelligent street lamp platform is developed based on ubiquitous Internet of Things. This paper introduces the structure and application scenarios of the platform in detail. It provides solutions for communication support, IoT management and people’s livelihood services. The platform has been put into use in the Italian style district of Tianjin, which has considerable economic and social benefits.
22nm FDSOI SRAM single event upset simulation analysis
Authors: Yuan Jingshuang , Zhao Yuanfu , Wang Liang , Li Tongde , Sui Chenglong 
Published: May 2021

Abstract
This article uses Sentaurus TCAD to establish the 3D device model of NMOS and PMOS under the 22nm FDSOI process, and establishes the 3D model of the 22nm FDSOI SRAM cell through this model. This model is used to numerically simulate the single event upset LET threshold of the 22nm FDSOI SRAM cell. The effects of different LET values and different incident conditions on the single event upset of a 22nm FDSOI SRAM cell are compared. The results show that whether the 22nm FDSOI SRAM cell is single event inversion depends on the transient current peak value generated after heavy ion incidence. For the 22nm FDSOI SRAM cell, the critical current peak value is about 0.011mA. Comparing the single event inversion thresholds at different incident positions, it is found that compared to the center of the channel, when a single event is incident on the channel-drain PN junction of an off-state N-type FDSOI device, the SRAM cell is more prone to single event inversion.
Automatic classification model of semi-structured HTML text data based on State Grid cloud architecture
Authors: Zhang Enjie , Zhang Zhidong , Yan Long , Li Da 
Published: May 2021

Abstract
Regarding the construction of the “State Grid Cloud” platform, various businesses of the power grid have their own Wed systems. The data between different websites is scattered and the coupling between resources is low, which can easily form the problem of information islands. This paper is oriented to the semi-structured HTML text data in web pages under the State Grid cloud architecture platform, and uses the Python-based Scrapy framework to collect semi-structured power data information from various power business websites. We propose a semi-structured text data classification model based on BIGRU neural network and Bayesian classifier. BIGRU neural network is used to extract text features, Bayesian classifier is used for classification, and the TF-TDF algorithm is used to assign weights to improve the traditional recurrent neural network model with many parameters and long training model time. We use this method to simulate the semi-structured HTML text data of the State Grid, and conduct a comparative experiment with the traditional neural network model. The experimental results show that the classification algorithm can effectively improve the efficiency and accuracy of power semi-structured text data classification.
GPU based multi-scale depth map calculation for 3D reconstruction
Authors: Wu Tiansheng , Wang Hui , Wang Yanling , Liang Min , Li Jie 
Published: May 2021

Abstract
When using multi-view stereo (MVS) method to calculate depth map for reconstructing dense 3D model, the model precision is often influenced by low-texture areas. To solve this problem, in this paper, we present an efficient multi-scale depth map based MVS method. First, the coarsest scale depth map is calculated which can easily capture the rich texture information in low-texture areas. Then we upsample this depth map to higher scale, and four forward-backward reprojections are used to reduce the error of depth difference between the last scale and the current scale. In addition, a GPU and CPU based cooperative optimization architecture is built to optimize and accelerate depth map computation in Patch Match (PM) stage. Experimental results show that, the proposed method can reconstruct quite accurate and dense point clouds compared to state-of-the-art methods.
Study on Shortwave Signal Coverage Based on ITU-R P.533 Model
Authors: He Jialuan , Xing Zirui , Wu Feihong 
Published: May 2021

Abstract
In this paper, the short-wave signal propagation modeling, short-wave electromagnetic environment simulation modeling, short-wave electromagnetic environment level evaluation modeling, simulation modeling of receiving antenna commonly used in short wave and other contents are studied in depth, in terms of short-wave electromagnetic environment and antenna simulation simulation. A more complete propagation model of short-wave signal, simulation model of short-wave electromagnetic environment, evaluation model of short-wave electromagnetic environment level and simulation model of receiving antenna commonly used in short-wave are established. Finally, the effectiveness of each model is verified by repeated comparative tests and experiments.
An auxiliary system for rehabilitation training
Authors: Liu Xuehua , Lin Zhenkun , Lin Zhencheng 
Published: May 2021

Abstract
In this paper, aiming at the problem of sports injury in squatting, the development of squatting training assistant system based on MPU9250 is proposed and designed. The system uses embedded technology, through the cloud architecture of recurrent neural network to analyze data, realize the monitoring of squat training, return the results to the mobile APP end, realize the correction and guidance of each action, and display the user’s rehabilitation in real time. Through the system test, the results show that the system has the characteristics of stable performance, accurate detection, convenient and portable.
Realization of Future Car Sharing Speed Safety System Based on Internet of Vehicles
Authors: Chen Min , Fu Jiang , Zhang Jigui , Ma Jianjun , Wang Yi 
Published: May 2021

Abstract
In the future, cars will integrate the advantages of intelligent network technology on the basis of car networking applications formed by car bus technology, communication technology, and Internet technology, and be equipped with safer, smarter and more comfortable car control systems. Based on the Internet of Vehicles technology, this paper proposes a car sharing speed safety system, analyzes its structure, composition and working principle, and expounds the advantages of the application of the system in the Internet of Vehicles technology. The application of the shared speed safety system will play a good supporting role in the unmanned driving, peer optimization and safe driving of future cars.
Study on the Path Planning Algorithm Based on Dueling Deep Q Network
Authors: Cao Jingwei , Zhao Shancheng , Guo Caiqin , Hu Youtao , Gao Qianxu , Shen Fengjun , Ye Yujie , Zhang Yong 
Published: May 2021

Abstract
In traditional path planning methods based on Deep Q-Network (DQN) algorithm for mobile robots, the target Q value was usually obtained by a greedy algorithm, and the estimation of Q value was usually high, which would result in slow training speed of the algorithm. To solve this problem, a Dueling DQN algorithm based on Dueling network was proposed in this paper, which was mainly realized by the structure optimization of neural network. The initial algorithm structure was divided into two states and a higher return is obtained through competitive comparison. Then, the long training time and slow speed convergence problem could be effectively solved than the traditional DQN. The simulation results show that the DQN algorithm based on Dueling DQN has high efficiency in Q value obtaining. Compared with the traditional DQN method, it has the better anti-interference ability and decision-making ability, less training time, and stable convergence.
Random access conflict resolution of preamble waiting list based Game-theory
Authors: Yin Lu , Sun Shihua , Deng Zhongliang , Wang Ziyang , Jiang Tianrun 
Published: May 2021

Abstract
With the development of mobile communication network, Internet of things and communication base station, super reliable transmission of communication signal and super anti-interference ability, mobile communication technology has been popularized in various industries, and a large number of products have emerged in communication technology and related applications. However, the increase in the number of products has caused a huge load to the mobile base station. The limited access resources of mobile base station also bring high access delay and high access conflict risk to access equipment. Random access is the first step of equipment access to mobile communication network. It can reasonably allocate access resources in the process of random access, which will effectively control the access conflict in the process of large-scale equipment access. Based on this, this paper proposes a solution to the random access conflict of packet preamble based on waiting queue list. The scheme introduces ACB(Access Class Barring) access factor for different types of access devices At the same time, the preamble resources are grouped to reduce the load of single base station. The access probability of different demand types of equipment is continuously balanced by game model, which reduces the access probability of non-demand equipment and improves the access probability of demand equipment. Considering the conflict of retransmission waiting time and retransmission success probability in random access process, and the waste of access resources in mobile communication system, a preamble waiting queue list mechanism is proposed. This mechanism can reduce the repeated access and retransmission waiting of access devices by reasonably scheduling them to a high idle waiting queue The resulting access delay improves the access efficiency of the device, reduces the resource idle degree of the mobile communication system, and improves the resource utilization rate.
Research on the Positioning of AGV Based on Lidar
Authors: Liu Yuheng , Piao Yan , Zhang Luyuan 
Published: May 2021

Abstract
The rapid development of the e-commerce industry has led to the transformation of the logistics industry from labor-intensive to technology-intensive. The intelligent management system has gradually eliminated the past manual operation methods. AGV (automated guided vehicle, AGV) robot is an indispensable equipment in modern intelligent production and enterprise warehousing logistics systems. In order to improve the positioning performance of the AGV robot to a certain extent, this paper proposes an optimized AMCL (Adaptive Monte Carlo Localization) positioning algorithm based on EKF data processing. First, input the odometer and IMU data into the EKF model for fusion, then the fused state is used as the motion model of the positioning algorithm to predict the pose of the particle set and assist the particle update. The AMCL output after weighted average processing is used as the initial value of scan matching. By constructing a matching function model of lidar observation points and a priori map, using Gauss Newton’s method to optimize the solution, the accuracy has been improved.