bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survivability Optimization of the Silo Group Deployment by Agent Modeling and Simulation
Authors: Dai Haifeng , Bi Yiming , Qi Changxing , Zhang Shutao 
Published: December 2019

Abstract
Survivability is an important indicator for the nuclear weapon deployed by silo group. From the view of survivability optimization, firstly, a brief analysis for Aside factors, B-side factors and environmental factors that affect survivability of the silo group is completed, extract the main factors and make corresponding limitations. Secondly, agent modeling method is introduced to establish the silo agent model, detail the model rules, analyze the changes in the deployment status of the silo group using the Markov process, and construct an objective function model for the optimization of the silo group survivability. Finally, simulation based on the objective function is performed, and the simulation result shows that the problem of survivability optimization deployment of the silo group get some sort of solution, which may provide reference for similar military target deployment problems.
Research on Heat Load Distribution Based on Peaking Capacity of Thermal Power Plant
Authors: Zhu Lingkai , Wang Qian , Zheng Wei , Guo Ying , Han Yue , Guo Junshan , Ding Junqi , Lao Jinxu , Zhang Yanpeng , Liu Jun , Shang Panfeng 
Published: December 2019

Abstract
With the rapid development of new energy sources, the peak load regulation of power grids is increasing day by day, while the northern part of China is dominated by cogeneration units. In the heating season, heat supply needs to be prioritized to meet the requirements of peak heating, which further complicates the difficulty of peak load regulation. In order to solve this problem, this paper takes into account the electric thermal characteristics of the unit itself, fully considers the difference of peak load regulation capacity among different types of units, and establishes the peaking capacity optimization model of the whole plant to determine the most thermal load between different types of units. The best distribution plan makes the whole plant have the highest peaking capacity.
Research on Multi-task Scheduling Algorithm for Integrated Energy Metering Acquisition System
Authors: Xiong Xia , Tao Xiaofeng , Yang Xueliang 
Published: December 2019

Abstract
With the development of the energy Internet and the construction of a new energy measurement system, it is particularly important to promote the remote automatic collection and copying of water, gas, heat and electricity. Based on the electricity information collection system, this paper designs an integrated acquisition technology architecture system for electricity, water, gas and thermal energy measurement, and clarifies the technical route of the energy measurement system. Then, through the analysis of the system task classification, a multi-task adaptive real-time scheduling method based on Spark cluster is proposed, which solves the problem that the collection system has uneven task allocation, long overall task completion time and high priority based on the existing scheduling mechanism of the Spark cluster. The task timeout response causes problems such as poor user experience. Finally, the experimental results show that the total number of 2 million collection tasks are divided into six categories, and the default scheduling methods in the text and Spark are used for comparison. The time-based and priority-critical tasks are completed earlier than the default method. The response speed greatly improves the system user experience and effectively improves the level of social public services.
Application and Consideration of Dynamic Security Identity Authentication in Electric Power Business
Authors: Chen Lei , Gao Xianzhou , Shen Wen , Wang Xiangqun , Tang Yuping , Yao Qigui 
Published: December 2019

Abstract
This electronic document carries out the analysis of mouse, keyboard fingerprint characteristics and online time and user behaviour, establishes user behavior characteristics database and model of electric power business, realizes the identification and account risk control based on dynamic behavior characteristics, improves the account security of the system, and solves the problems. The former security certification method is single, and the ability of security risk prevention and control is insufficient.
An Electricity Inspection System of UHV Transmission Lines based on Beidou Satellite Communication
Authors: Liu Ting , Cheng Lei , Chen Zhiwei , Liu Yan , Liu Kai 
Published: December 2019

Abstract
With the construction and development of UHV power transmission projects in China, safety are becoming increasingly important in the line operation and maintenance. The line operators must verify the electricity status of the transmission line before they carry out the work of maintenance. Due to the characteristics of UHV line, the electricity detection device on UHV line is different from the traditional ones. In this paper, an electricity inspection system based on Beidou satellite communication technology is established by means of non-contact Micro-Electro-Mechanism System (MEMS) electric field sensor. The system includes electricity detection device, handheld inquiry device and monitoring center. Experiments at actual transmission line verified the validation of the electricity inspection system.
Research on Wireless Charging System of Electrical vehicles in Scenery Complementary Expressway
Authors: Cui Wei , Chen Shuyi , Hu Yongqi , Zhou Canzong , Liu Fangwei 
Published: December 2019

Abstract
With the increasingly prominent global environmental and energy issues, the development of new energy electrical vehicles has become more and more important. In order to solve the problem of poor endurance of electrical vehicles, this paper studies the establishment of a wireless charging system for electrical vehicles based on the principle of wind-solar complementarity in the service area of long-distance driving of electrical vehicles, making full use of the environmental advantages of highway areas, and converting light energy and wind energy into electric energy for the use of electrical vehicles to achieve the purpose of electrical vehicles’ endurance.
Simulation Calculation and Experimental Study on Linear Braking Performance of New Energy Vehicles
Authors: Wu Dongsheng , Hu Zongmei 
Published: December 2019

Abstract
The structure and characteristics of the braking system of the new energy vehicle are analyzed. The calculation model of the linear braking performance for the new energy vehicle is established. The parameters such as the adjustment frequency of the solenoid valve and the adjustment amplitude are determined. Finally, the road test is verified. The results show that compared with the road test results, the calculated error is less than 10%, and the model can be used to evaluate the braking performance of battery electric vehicles.
Overview of Cloud Computing
Authors: Qian Lin , Yu Jun , Zhu Guangxin , Wang Lin , Chen Haiyang , Pang Hengmao , Mei Feng , Lu Wenda , Mei Zhu 
Published: December 2019

Abstract
With the development and operation of the Internet, the amount of data generated every day growing bigger, and the demand for data processing capacity is increasing. Cloud computing has become a hot research topic. The core problem of cloud computing is cloud resource scheduling. Current scholars have studied cloud resource scheduling problems from various aspects. This article mainly describes and analyzes cloud resource scheduling based on QoS performance constraints, cloud resource scheduling based on load balancing, and forecasting based on cloud resource scheduling, which provides a useful reference for cloud computing research.
Technology Framework of the Intelligent Command and Control System
Authors: Wang Fan 
Published: December 2019

Abstract
With the rapid application and development of artificial intelligence technology in the civilian field, the research on intelligent combat and command systems in the military field is also intensifying. In order to improve the cognition and decision-making ability of international command and control system, this paper elaborates the overall technical framework of the system, and brings forth intelligent solutions and development suggestions in situation cognition, planning, decision making, and action control.
Substation Sower Supply Area Division Based on Voronoi Diagram and Road Grid
Authors: Yan Yi , Wang Feiming , Zhou Kaidong , Chen Shoumin , Huang Jutao , Wen Bojian 
Published: December 2019

Abstract
On the basis of studying the application of Voronoi diagram, considering the influence of geographical factors such as roads and rivers on the power supply area, the method of substation power supply partitioning combined with weighted Voronoi diagram and road grid is proposed. Firstly, according to the urban road network, the power supply area is divided into several grids, and then the substation is taken as the center. Considering the main capacity of the substation, a weighted Voronoi diagram is generated, which makes the result of the power supply area division more scientific and reasonable. Finally, the actual example proves that the method has certain validity and rationality.
Research on the Overall Framework of the Integrated Power System Fuel Economy Optimization Scheduling Strategy
Authors: Xu Chen , Wang Gang , Xiao Runlong 
Published: December 2019

Abstract
Due to the differences in research objects, operational requirements and control methods, the fuel economy strategies of land-based power systems and traditional marine power systems cannot be directly applied to integrated power systems. Aiming at the energy optimization and regulation requirements of the integrated power system, a fuel economy optimization scheduling strategy model was established. By analyzing the operational requirements of the system under normal and abnormal conditions, the overall framework of the fuel economy optimization scheduling strategy for the integrated power system was established. The generator excitation adopts the master-slave control mode, which realizes the optimal dispatch of the generator output under the overall frame operation demand. Finally, the simulation test verifies the effectiveness of the proposed method.
Simulation of Composite Energy Storage Optimization Configuration of Micro-grid Based on PSO
Authors: Sun Caitang , Zhang Chunxiu , Zhou Sirui 
Published: December 2019

Abstract
The micro-grid studied in this paper contains photovoltaic power generation, wind power generation and energy storage devices composed of super capacitors and storage batteries. Although this method of composite energy storage can effectively utilize new energy sources, the cost is relatively expensive. So, under the condition of normal load and overall normal operation, combined with power balance and other constraints, how to allocate capacity configuration can minimize the overall operating cost of the micro-grid, and improving the economics of micro-grid operation becomes a key issue. In this paper, for the micro-grid with island operation mode, using Matlab to build distributed power model and micro-grid model in micro-grid, aiming at the economical operation of micro-grid, using the basic particle swarm optimization algorithm to obtain the optimal solution, the grid is optimized for configuration and combined with an example for simulation analysis.
Intelligent Path-following Control of Unmanned Surface Vehicles Based on Improved Line-of-sight Guidance
Authors: Niu Guangzhi , Wan Lei , Zou Jin , Zeng Jiangfeng , Fan Jinlong , Sun Chaowei 
Published: December 2019

Abstract
For the way point-based path following control of under-actuated unmanned surface vehicle (USV), a new adaptive compensation line-of-sight (LOS) guidance law and speed solver are proposed, and the fuzzy heading control and integral S-plane speed control are designed. The path following control scheme is based on the separation control, and a speed control is added to improve the overall control structure. For adaptive compensation LOS guidance law, confirm the optimal circle radius of the adaptive LOS method first, and then the angle compensation of heading deviation of navigation is conducted for the LOS angle solved by adaptive LOS method, which is used to guide the USV to approach the desired path with the optimal improved LOS angle. Considering the rapidness of path following, a speed solver is designed according to the distance between the two path points, which can calculate the optimal desired speed of the USV in real time. The experimental results testify the effectiveness and superiority of the proposed guidance strategy, the speed solver and the control strategies.
Digital Power Grid Construction Research of the Cross-regional Core Power Transmission Grid in Southwest China Based on Ubiquitous electric Internet of Things
Authors: Zhou Lin , Sun Li , Sun Wencheng , Wang Jian 
Published: December 2019

Abstract
Digital power grid, as an important foundation for building a strong smart grid, provides the unified data management and service application by integrating multi-source data such as fundamental geography, geologic physiognomy, power grid subjects and projects. It has become an important branch of the “Ubiquitous electric Internet of Things” (UeIoT) construction. Southwest China with a vast territory, has complex terrain and geology conditions. With the orderly advance of the construction of the Ultra High Voltage (UHV) main grid in the area, the power grid data assets have been gradually accumulated. Thus it is necessary to build a digital power grid to solve the difficulty in power grid construction and data asset management. Based on the construction idea of UeIoT, this paper proposes a set of technical architecture for the digital power grid construction of the cross-regional core power transmission grid in Southwest China, and introduces the ideas and application schemes of the digital power grid platform construction.
Better Understanding of Energy Consumption via Energy Information and Management System
Authors: Wang Tao , Zhu Taomei 
Published: December 2019

Abstract
Energy crisis will still be a global issue for long time. Governments at all levels are making more efforts to resolve the energy problems in China. However, conflict between the increasing energy consumption (and demand) in social development and the limited energy resources worldwide. Energy conservation becomes an important objective in all kinds of processes and activities. An information and management system is proposed in this paper, in perticular aiding the industry sector and sub-sectors to understand better the energy data and make better decisions in energy management.
Analysis of E-commerce Marketing Strategy of Power Enterprises in Jilin Province from the Perspective of Economic Transition
Authors: Han Bing , Cui Meng , Xu Dan 
Published: December 2019

Abstract
As a new technical means, e-commerce provides a new idea for the reform of power supply enterprises. At present, the power company is in the context of economic transformation. To create a world-class power supply enterprise, it is necessary to keep track of the world’s advanced management ideas, methods and means, and integrate the various management services of the enterprise into the increasingly becoming an Internet society. Taking the power supply company of Jilin Province as an example, this paper proposes some improvement schemes for the operation mode of the existing power supply system according to the requirements of the power market for power supply enterprises and the advantages of e-commerce. According to the actual situation of the power supply enterprises in Jilin Province, the network model, structure model and database model of the power supply enterprise, as well as the website design scheme of the e-commerce of the power supply enterprise are designed.
Design of Electricity Information Collection System Based on NB-IoT
Authors: Fu Jie , Liu Yupeng 
Published: December 2019

Abstract
Aiming at the problems of two-way information interaction and real-time and reliable transmission caused by the imperfect electricity information acquisition system, this paper proposes an electricity information acquisition system based on narrowband Internet of things (NB-IoT) technology. The system takes STM32 as the micro-controller, and uploads the data of electricity collector to the telecom cloud platform through BC95 wireless communication mode. The user terminal can connect with the cloud platform to realize the collection of electricity information. This paper presents the detailed hardware and software design method of the system. Compared with the traditional electricity information acquisition system, the system has the functions of low power consumption, simple wiring and remote control, and has good application value.
Cyclic Cumulant Based on Communication Signal Multilayer Neural Network Modulation Pattern Recognition
Authors: Guan Qingyang , Zhang Yue 
Published: December 2019

Abstract
After we deduces and simulates the cyclic spectrum theory of MPSK and MQAM modulated signals. The cyclic spectrum of the modulated signal is preprocessed and the original feature set is formed as the input data of the CNN. Feature extraction of cyclic spectrum from convolution and subsampling layers of CNN, so that the modulation signal can be effectively identified within and between classes. The experimental simulation results show that the classification and recognition algorithm of communication signal modulation mode proposed in this paper has better modulation recognition accuracy than other traditional modulation recognition algorithms in the case of low SNR. And when the signal to noise ratio is lower than 5db and higher than -5db, the modulation pattern recognition accuracy can be reached up to 92%.
Research on Smart Grid Energy Internet of Things Technology and Network Security
Authors: Tao Guang , Zhang Qian 
Published: December 2019

Abstract
With the rapid development of smart grid technology, energy IoT technology has become a new direction for the development of power grid enterprises. The energy Internet of Things covers the state of perception, information transmission and intelligent processing of the smart grid, and comprehensively improves the depth, breadth and density of information perception of the grid. The construction of smart grid energy IoT is an important development direction under the smart grid. The article analyzes the technology and network security of the smart grid energy Internet of Things. Based on the characteristics of the smart grid energy Internet of Things and the security risks it faces, the full-scenario network security protection technology adapted to the smart grid energy Internet of Things is analyzed. The suitable intelligence is studied from four aspects: perception layer, network layer, platform layer and application layer. The architecture and content of the full-site network security protection system of the grid energy Internet of Things provides ideas and methods for effectively ensuring the network security of grid enterprises.
Ehicle tracking based on video in fast traffic scenarios
Authors: Liao Zheng , Li Gang , Zhang Xinyue 
Published: December 2019

Abstract
This paper is aiming at the problem of low tracking accuracy of moving vehicles in fast traffic scenarios, the ECO algorithm based on correlation filtering is applied to real-time tracking to achieve stable and accurate tracking of target vehicles. Through the factorized convolution operator, the extracted features are more comprehensive and efficient; the optimization of the training set effectively reduces redundancy; and the more representative correlation filter is used to prevent over-fitting; a simple update model is used to prevent model drift. The experimental results show that the proposed method finally achieved a tracking effect of 97% recognition rate.
Design of Arena Robot Based on STM32 Control
Authors: Sun Taoran , Du Gang , Cui Zhiming , Zeng Cheng 
Published: December 2019

Abstract
In order to design a small arena robot with stage, attack and defense, STM32F103ZET6 micro-controller is used as the main controller. Adopts the modular design thinking, the use of infrared ranging sensors, infrared photoelectric sensor, high-power motor relative to the implementation of the robot movement function; The hardware circuit, mechanical structure and software program are designed respectively. Synthesize the different situations encountered in robot competition, the hardware and software of the robot are optimized and the control strategy is put forward. In this way, the performance of the robot can be brought into full play and the winning rate of it in robot competition can be improved.
Application of IIR Digital Filter with A New LMS Adaptive Algorithm
Authors: Shao Lanchun , He Wei 
Published: December 2019

Abstract
Any system will be inevitably disturbed by noise. The existence of noise affects the processing and application of real signals. How to effectively suppress and eliminate noise has always been a hot spot in the industrial field. In order to design a filter which can properly adjust its parameters according to different environments to obtain the optimal value, this paper designs an adaptive IIR digital filter, and studies as well as improves the adaptive algorithm. A new variable step size LMS algorithm based on multi-scale wavelet transform is proposed in this paper. The wavelet transform domain algorithm belongs to LMS transform domain algorithm and is a new time-frequency analysis method developed, so it has the characteristics of multi-resolution analysis. This adaptive IIR filter designed is applied to suppression and cancellation of noise, and simulation experiments are performed on the MATLAB software platform, so that better illustrating the superiority of this improved algorithm.
Research on the Sampling Procedures for Inspection by Variables When Quality Characteristics Follow the Chi-Square Distribution
Authors: Wang Jingjing , Zhao Jing , Wang Haitao , Zhang Fan , Zhao Chao , Wu Gang 
Published: December 2019

Abstract
In this paper sampling procedures for inspection by variables are discussed under the assumption that product quality characteristics are distributed by chi-square distribution. In the sampling procedure, due to the randomness of sampling, the judgment result may be inconsistent with the actual situation of product quality. That is, when the actual quality of the product is qualified, it is judged as unacceptable (at this time, a type of error in hypothesis testing is made, and we control it to make the probability of making a type of error less than or equal to 0.05). When the actual quality of the product is unqualified, it may be judged as acceptable (at this time, another type of error in hypothesis testing is made, and we control it to let the probability of making a type of error less than or equal to 0.1). In this paper the idea of nonlinear programming is adopted to determine the sampling procedure.