bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-channel information acquisition system based on heterogeneous platform
Authors: Liang Xiaolong , Li Hong 
Published: June 2022

Abstract
The acquisition system based on hardware circuit control has more advantages in stability and rapidity than the acquisition system controlled by software. Using heterogeneous platform to complete the acquisition of various parameters of power grid based on hardware circuit is a basic work of smart grid. Therefore, a set of multi-channel data acquisition system based on heterogeneous platform Zynq-7020 is designed to meet the measurement and monitoring requirements of insulation oil temperature and water content in transformer. Firstly, the paper expounds the design idea. Then, taking the heterogeneous platform integrating ARM and FPGA as the core, the system circuit is designed. Furthermore, the design of data acquisition, processing and transmission is completed based on Verilog and C language. Finally, the experimental data of the system are given. The experimental results show that the system has the characteristics of strong expansibility, high precision and strong stability.
Research on IPSO-RBF transformer fault diagnosis based on Adam optimization
Authors: Shao Ningning , Chen Xiaoqiang , Wang Ying 
Published: June 2022

Abstract
As the lifeblood element of the power system, the transformer plays a pivotal role in power transmission and voltage conversion. The fault prediction of the transformer can not only realize the early warning before the fault but also provide theoretical support for the formulation of a transformer maintenance scheme, which can improve the safety and reliability of the power system. In this paper, a new method of transformer fault diagnosis based on dissolved gas in oil is proposed by combining the Adam optimization algorithm based on the classical momentum concept with the PSO algorithm. Firstly, a PSO-RBF transformer fault diagnosis model is constructed. Through the simulation experiment of nonlinear collocation of acceleration factors, the nonlinear exponential decreasing collocation is used to improve the optimization ability of particle swarm optimization. The simulation analysis is carried out based on the transformer fault data within the jurisdiction of Lanzhou electric power company. The diagnosis results verify that the diagnosis rate and stability of the IPSO-RBF-Adam transformer fault diagnosis model are better than the PSO-RBF model.
Power grid expansion planning model based on improved quantum evolutionary algorithm under supply-demand balance constraints
Authors: Zhang Linyao , Zheng Jieyun , Chen Hao , Wu Guilian 
Published: June 2022

Abstract
In order to improved the accuracy of power grid expansion planning, shortened the planning time and reduce the investment cost, a power grid expansion planning model based on improved quantum evolutionary algorithm under the constraint of supply and demand balance is proposed. Using SWOT analysis method and analytic hierarchy process, this paper qualitatively analyzes the comprehensive situation of Shaanxi Power Grid Company, establishes the evaluation index of supply-demand relationship, and constructs the power grid expansion planning model. Through the rotation angle strategy, the quantum evolutionary algorithm is improved to solve the power grid expansion planning model and obtain the optimal solution of power grid expansion planning. The experimental results show that the proposed method has shorter planning time and higher accuracy, and can effectively reduce the investment cost.
Boruta-XGBoost Electricity Theft Detection Based on Features of Electric Energy Parameters
Authors: Chen Xiao , Qiu Xinyu , Ma Yunlong , Wang Liming , Fang Lei 
Published: June 2022

Abstract
Electricity theft detection is critical for the safe and effective development of the electric power system. The existing methods that are used to detect electricity theft rely on historical load data and are considered to have poor timeliness. Their detection results have limited reference to power supply enterprises’ investigation on electricity theft. Therefore, this paper proposes the Boruta-XGBoost power theft detection model based on multiple features of electric energy parameters. The model converts electricity theft detection problem into a multiclass classification problem. First, the features of various electric energy parameters that are collected by the electric energy metering device are used to construct the original dataset. Then, the Boruta algorithm is used to select features and reconstruct the dataset based on the selection results. Finally, the reconstructed dataset is used to train an XGBoost model that can detect the type of electricity theft based on the features of real-time electric energy parameters. In order to verify the effectiveness of the model, a comparative experiment is conducted in this paper. The reconstructed dataset is used to train the following algorithms: LightGBM, CART, SVM, and logistic regression models. The test results show that the Boruta-XGBoost model in this paper has the best effect on electricity theft detection.
Design of Mobile ad-hoc network scheme based on SDN
Authors: Huang Xiaoyu , Su Mingxia 
Published: June 2022

Abstract
With the expansion of application scale, the network structure and organization mode of traditional MANET are limited by factors such as bandwidth optimization, power control and node mobility. The stability of network performance and the use efficiency of upper layer applications are also seriously affected. In order to solve this problem, Mobile ad hoc network (MANET)scheme based on SDN is proposed to establish a flexible and programmable data forwarding mechanism in MANET. The dynamic deployment mechanism of network functions and the globally consistent cooperative control mechanism realize the global network performance optimization and efficient management control. Finally, the test shows that SDMENT improves the flexibility of MANET network and makes the software of MANET have the significance of engineering application.
Design of a wireless communication system for distribution monitoring
Authors: Huo Chao 
Published: June 2022

Abstract
According to the requirements of wireless communication in medium and low voltage distribution monitoring system, this paper designs a wireless signal networking method at medium and low voltage distribution side, and analyzes the networking mechanism between each protocol layer, including important wireless avoidance mechanism, networking mechanism of network layer and application layer. Aiming at the problem of network connectivity, a wireless networking algorithm based on optimal distance is proposed, and other common wireless networking algorithms are studied at the same time. The networking algorithms are simply evaluated and compared, and the advantages of this strategy in wireless networking are verified by experimental simulation and analysis.
Research on univariate anomaly diagnosis of gas pipeline measurement data based on Random Forest algorithm
Authors: Quan Qing , Li Dan , Wang Shouxi 
Published: June 2022

Abstract
The basis of univariate anomaly diagnosis of pipeline system is that univariate time series can reflect fault information of the system. Random Forest belongs to random sampling with put back, which can efficiently process high-dimensional data. This paper firstly combines measurement data with control graph theory, obtains sample data of different modes by Monte Carlo method. Then, Gini Impurity values of random forest algorithm are introduced to sort and optimize the feature of sample data. Finally, the Random Forest is used to realize the high precision intelligent recognition of different modes of the measurement data control chart, and the univariate anomaly diagnosis of the gas pipeline measurement data is realized combining with the fault knowledge base.
Lightweight hybrid signature scheme for Internet of Thing based on bilinear mapping
Authors: Duan Gangpeng 
Published: June 2022

Abstract
Most of the existing IoT communication encryption schemes have the following two problems: the sensor side needs to perform complex bilinear mapping calculations; most schemes separate key agreement and data encryption, which increases the user’s computational burden and management difficulty. This paper proposes a lightweight IoT hybrid signature scheme based on bilinear mapping. In terms of transmission efficiency, the calculation process of the bilinear map is transferred to the initialization phase of the system. The sensor side only needs low-cost operations such as hash mapping and exponential operation, which reduces the overall computing cost of the solution. In terms of security, the mathematical difficulty caused by the bilinear mapping calculation in the initialization phase is used to ensure the security of data transmission. In solving the problem of key management, the scheme uses the semi-trusted key generation center (KGC) and sensor ID to generate user session keys and data keys, which solves the public key authentication and key escrow problems of massive sensors in the Internet of Things.
Research on 3D face measurement for facial virtual plastic surgery
Authors: Su Liwei , Li Guiwen , Liu Zhenyao , Ji Xiaoqiang 
Published: June 2022

Abstract
Calculating the key data of human face through three-dimensional face model can help doctors predict the surgical results before plastic surgery, guide the formulation of surgical plan and reduce the surgical risk. In this paper, 3D face measurement technology is studied, and the area of plastic area is calculated by slice method. A large number of experimental tests show that the average errors of facial geometric feature measurement, area measurement are 0.458mm and 0.65mm2 respectively. The rating of simulation results provided by plastic surgeons shows that facial measurement technology can effectively improve the success rate of plastic surgery. Compared with the original face, the edited 3D face is more attractive in respecting the following beauty standards: “three courts and five eyes”, golden section, etc.
DADDE:deep anomaly detection with density estimation
Authors: Duan Shunran , Jiao Longlong , Yin Meijuan , Yü Lanlan 
Published: June 2022

Abstract
The problem of abnormal nodes detection in attributed network is widely used in daily life, such as social networks, cyberspace security, financial fields and so on. Most existing detection methods ignore the relationship between structure information and attribute information in attributed network. Although some methods consider the relationship between them, but it can’t distinguish the types of abnormal nodes well, that is, attribute exceptions or structural exceptions. Aiming at the shortcomings of existing methods, this paper proposes a deep anomaly detection model combining density estimation. The idea of detecting abnormal nodes by reconstruction error is used, the structure information and attribute information of attributed network are reconstructed respectively, and abnormal nodes are detected by density estimation based on reconstruction error and embedding vector of nodes. In this paper, the validity of DADDE model is proved by experiments on three commonly used data sets in this field.
Solve the Optimal Strategy of “Desert Crossing” with multi-goal programming
Authors: Dai Yifan , Zhou Xinyi , Mao Jingyi 
Published: June 2022

Abstract
In this paper, we take a game called “Desert Crossing” into research. With the game strategy of avoiding failure and maximizing the revenue, we proposed a topological model for removing redundant paths in maps with Dijkstra. For the simple case of known daily weather in the game, we established a goal programming model with the constraint of game rules. A method based on Tree DP is proposed to solve the complex mathematical model. For the complex case of random weather, a probability model of weather is established by Markov Chain, and a multi-goal programming model is proposed.
Design of coupling alignment system based on single chip microcomputer
Authors: Zhang FuQiang , Zhang FuQuan , Liu JingXia 
Published: June 2022

Abstract
Aiming at the problem of coupling alignment, a dynamic alignment method based on laser method is proposed and verified by simulation. The design content mainly includes: the collection and processing of sensor current, the data processing of single chip microcomputer, the communication of upper computer and the writing of program. The results show that the designed alignment method can display the changes of various data in real time and monitor the alignment state of the coupling in time.
Design of prefabricated foundation for 66kV tower assembly and simulation of mechanical properties and grounding current density distribution
Authors: Li Guanhua , Liu Rui , Dai Xu , Wang Shengfu , Du Desheng , Wang Liang 
Published: June 2022

Abstract
Most of the existing transmission line tower foundations are cast-in-place foundations, and there are many obvious disadvantages of this operation method, such as its long construction period, poor generality, and inability to construct in winter. In this paper, we propose an assembly type prefabricated foundation for 66kV transmission line towers. And use SOLIDWORKS to simulate and analyze the mechanical properties of the foundation, analyze the current density distribution of the designed foundation with CDEGS simulation, and add reinforcement cage to optimize its current density distribution. The results show that the designed foundation meets the requirements of its working conditions.
Research on the linkage of dual servo motors based on electronic cam curves
Authors: Cui Jianjun , Zhang Yuhang , Lei Zhen , Fang Yuxuan , Li Chunfeng 
Published: June 2022

Abstract
For the servo dual motor linkage lag and large error problems, electronic cam curve planning is introduced. This servo system uses Microchip's MPLAB development platform and consists of a digital servo driver, two servo motors, etc. The servo motors use a vector control strategy. The position command of the slave servo motor is calculated according to the speed of the spindle motor and the electronic cam table, and the reciprocating motion of the motor pendulum is realised by simulating a mechanical cam, and the five-term and one-term curves are used to articulate with each other in the acceleration, uniform speed and deceleration stages. The experimental results show that with the electronic cam scheme, the servo system combines the advantages of high response speed and high control accuracy, while the curve planning and parameters are easy to adjust and meet the requirements of industrial production.
Comparative analysis of modulation strategies of bidirectional isolated AC-DC Matrix Converter
Authors: Liu Jinglin 
Published: June 2022

Abstract
Bidirectional isolated AC-DC matrix converter is a new topology which has potential advantages in many aspects. But the topology of bidirectional isolated AC-DC matrix converter is complex, the front and rear circuits are coupled and interact with each other, it is difficult to decouple it directly, and it is difficult to modulate. So it is necessary to study its modulation strategy. In this paper, several existing modulation strategies are analysed and compared from three aspects: switching process, current stress and transmission power, and a relatively optimal modulation strategy is obtained. The superiority and correctness of the modulation strategy are verified by simulation.
Nonlinear rendezvous guidance law design for a receiver UAV based on the Lyapunov stability theory
Authors: Zhao Hongchao , Zhao Jianzhong , Xu Hongmei 
Published: June 2022

Abstract
The rendezvous problem in the autonomous aerial refueling (AAR) was researched for the receiver unmanned aerial vehicle (UAV). The three-dimensional guidance model was constructed for the UAV to pursue the virtual tanker. In order to guarantee the zero miss distance and the intercept angle constraints, a nonlinear rendezvous guidance law was designed for the UAV based on the Lyapunov stability theory. The guidance law generated the normal acceleration command and the lateral acceleration command. The velocity control system was designed by the sliding mode control method. It controled the UAV’s velocity to equal to that of the virtual tanker at the end of the rendezvous phase. The simulation results validate the effectiveness of the designed nonlinear guidance law and the velocity control system.
Sliding mode disturbance observer and sliding mode controller for quadrotor UAV
Authors: Chen Jie , Zhao Hongchao 
Published: June 2022

Abstract
The dynamics of quadrotor UAV is described considering internal uncertainty and external disturbance. The control system of quadrotor UAV is divided into inner loop attitude control system and outer loop position control system, In order to solve the problem of underactuated character. Three virtual control variables are introduced to decouple the position dynamics. Three sliding mode disturbance observers (SMDOs) are designed to estimate the total disturbances in the position dynamics. Then three sliding mode controllers (SMCs) are designed to drive the trajectory tracking errors to zero asymptotically. The simulation example is carried out to test the effectiveness of SMDOs and SMCs. Simulation results validate that the designed SMDOs and SMCs provide both fast exact tracking capability and strong disturbance rejection capability for the quadrotor UAV.
Upgrade of the CMD-3 trigger system
Authors: Gorkovenko A.O. , Epshteyn L.B. , Yudin Y.V. , Talyshev A.A. 
Published: June 2022

Abstract
In 2017, the luminosity at the VEPP-2000 collider at the Budker Institute of Nuclear Physics SB RAS, Novosibirsk, was increased. This required an upgrade of the L-1 trigger to improve system performance and stability while reducing latency. In addition, the existing L-1 trigger firmware blocks are outdated and do not meet the new requirements. For this, the development of a device called the decision block will be created. The task of this unit is to generate the decision on whether to record the current event. In this paper, we present the stages of upgrading the L-1 trigger, the decision block design and implementation.
Development of a single-photon imaging detector with pixelated anode and integrated digital read-out
Authors: Alozy J.A. , Biesuz N.V. , Campbell M. , Cavallini V. , Cotta Ramusino A. , Fiorini M. , Guarise M. , Llopart Cudie X. 
Published: June 2022

Abstract
We present the development of a single-photon detector and the connected read-out electronics. This “hybrid” detector is based on a vacuum tube, transmission photocathode, microchannel plate and a pixelated CMOS read-out anode encapsulating the analog and digital-front end electronics. This assembly will be capable of detecting up to 109 photons per second with simultaneous measurement of position and time.
The pixelated read-out anode used is based on the Timepix4 ASIC (65 nm CMOS technology) designed in the framework of the Medipix4 collaboration. This ASIC is an array of 512 × 448 pixels distributed on a 55 μm square pitch, with a sensitive area of  ∼7 cm2. It features 50–70 e− equivalent noise charge, a maximum rate of 2.5 Ghits/s, and allows to time-stamp the leading-edge time and to measure the Time-over-Threshold (ToT) for each pixel. The pixel-cluster position combined with its ToT information will allow to reach 5–10 μm position resolution. This information can also be used to correct for the leading-edge time-walk achieving a timing resolution of the order of 10 ps.
The detector will be highly compact thanks to the encapsulated front-end electronics allowing local data processing and digitization. An FPGA-based data acquisition board, placed far from the detector, will receive the detector hits using 16 electro-optical links operated at 10.24 Gbps. The data acquisition board will decode the information and store the relevant data in a server for offline analysis.
These performance will allow significant advances in particle physics, life sciences, quantum optics or other emerging fields where the detection of single photons with excellent timing and position resolutions are simultaneously required.
Motion mechanism and thrust characteristics of amphibious robots with long fin fluctuation for propulsion on hard level ground
Authors: Zhang Jian , Zhou Junjie , Yuan Shihua , Jing Chongbo 
Published: June 2022

Abstract
This paper presents the principle of motion, mechanical modeling and key characteristics of the propulsive force of a new flexible-fin traveling wave propulsion mechanism used in an amphibious robot. Firstly, the form of motion and the basic propulsion principle of traveling wave propulsion of flexible fins on the ground are described. During fluctuation of the flexible fins, the relative motion between the outermost contact line on the fin surface and the ground generates the propulsive force of forward motion and the lateral force along the fin surface. Based on the laws of flexible-fin fluctuation kinematics and the basic principles of friction mechanics, the propulsion mechanics model of flexible fins during traveling wave propulsion on the ground is established. By numerically solving the propulsive force equation, the relationship between the propulsive force of the flexible fin and the motion parameters of the fin surface can be obtained. Numerical calculations combined with the results of experimental tests reveal that the flexible-fin propulsive force shows periodic variations within one fluctuation period of the fin surface, and the variation period is related to the number of waves present on the fin surface. The wavenumber on the fin surface has a large impact on the fluctuation amplitude of the propulsive force. In the range of 1.6–1.9 waves on the fin surface, the average propulsive force is the most ideal, while in the range of fin-surface inclinations less than 50° and fluctuation amplitudes greater than 30°, the propulsive force of the flexible fin is the ideal parameter range. This research provides theoretical support for the design of a flexible-fin traveling wave propulsion mechanism.
New insight into the influence of the Greenland high on summer Arctic sea ice
Authors: Wang Shaoyin , Liu Jiping , Li Xinyu , Ye Yufang , Greatbatch Richard J , Chen Zhuoqi , Cheng Xiao 
Published: June 2022

Abstract
The Greenland high (GL-high) coincides with a local center of action of the summer North Atlantic Oscillation and is known to have significant influence on Greenland ice sheet melting and summer Arctic sea ice. However, the mechanism behind the influence on regional Arctic sea ice is not yet clear. In this study, using reanalysis datasets and satellite observations, the influence of the GL-high in early summer on Arctic sea ice variability, and the mechanism behind it, are investigated. In response to an intensified GL-high, sea ice over the Beaufort Sea shows significant decline in both concentration and thickness from June through September. This decline in sea ice is primarily due to thermodynamic and mechanical redistribution processes. Firstly, the intensified GL-high increases subsidence over the Canadian Basin, leading to an increase in surface air temperature by adiabatic heating, and a substantial decrease in cloud cover and thus increased downward shortwave radiation. Secondly, the intensified GL-high increases easterly wind frequency and wind speed over the Beaufort Sea, pushing sea ice over the Canadian Basin away from the coastlines. Both processes contribute to an increase in open water areas, amplifying ice–albedo feedback and leading to sea ice decline. The mechanism identified here differs from previous studies that focused on northward moisture and heat transport and the associated increase in downward longwave radiation over the Arctic. The impact of the GL-high on the regional sea ice (also Arctic sea ice extent) can persist from June into fall, providing an important source for seasonal prediction of Arctic sea ice. The GL-high has an upward trend and reached a record high in 2012 that coincided with a record minimum summer Arctic sea ice extent, and has strong implications for summer Arctic sea ice changes.