bluuebunny/crossref_metadata_2025_split huggingface dataset:
Basic research on reflection characteristics of coupled artificial electromagnetic structures
Authors: Zhao Shujian 
Published: April 2020

Abstract
This paper presents a composite artificial electromagnetic structure that couples aplasma photonic crystal(PPC) with frequency selective surface (FSS). Plasma photonic crystals, as an artificial electromagnetic structure, have the effects of photon band gap and photon locality, but their cut-off frequency is affected by their characteristic scale, so we couple another artificial electromagnetic structure FSS, and expect it to have better electromagnetic properties and tuning capabilities. The S- parameters of this coupled artificial electromagnetic structure in the 6-18GHz frequency band were simulated and measured in a microwave darkroom, which proved that the structure has excellent electromagnetic characteristics.
The basic study of the relation between the safe areas and fan position by using the Particle Image Velocimetry
Authors: Hong Liu 
Published: April 2020

Abstract
Nowadays, the safety of large areas has become the focus of attention. The gas leak will easily cause the terrible losses of lives and property if the appropriate measures are not taken immediately. Therefore, once the similar situation happens, the toxic gas must be dealt with timely to adjust the safe areas of the large space and ensure the necessary security of people. On the basis of the background, this paper introduces a method to study the relationship between the safe areas and the fan position by using the PIV (Particle Image Velocimetry).
Intelligent Food Cold Chain System Design
Authors: Zhang Yinuo , Hua Guowei 
Published: April 2020

Abstract
This paper proposes a design scheme of intelligent food cold chain system. Firstly, the functional structure of the system is defined based on the requirement of different subjects participating in the system. Then the system is designed from the technical perspective by introducing intelligent logistics support technology. Different from the existing food cold chain system, the system proposed in this paper is relatively macro, not specific to food categories; and it focuses on the whole process of the cold chain, instead of only considering some parts.
Research on Optimization of Robustness for Cascading Failure in Power Grid
Authors: Liang Mingyue , Zou Yanli 
Published: April 2020

Abstract
When considering the cascading failures or the robust performance of the power network, most of the researches in network science are based on the topology of the power network. However, according to some researches, only using the topology of the power network can not reasonably evaluate the robustness of the power network.Therefore, when considering the cascading failures in the power network, we must combine the electrical characteristics with the network topology to make a better evaluation. From the perspective of network science, the related research on cascading failures has made a lot of progress. In order to optimize the robustness of power network, the optimal topology of power network is designed under the cascading failure model combined with real electrical characteristics.
Research on Construction of Financial Information System of Energy Enterprise Based on Green Environment
Authors: Wang Xiujun , Wang Chuang , Fu Yijie 
Published: April 2020

Abstract
With the increasing globalization and the rapid growth of China’s economy, the scale of environmental energy companies has continued to expand, and social requirements for financial management of environmental energy companies have become more stringent. In order to improve the efficiency and quality of financial management of energy-source enterprises, so as to ensure that the financial management of energy companies is in a normal operating state, thereby saving more costs for environmental-energy companies, it is necessary to analyse the current stage on the basis of reviewing the concept of informatization The potential problems of financial management of Chinese energy companies have been explored in depth by putting forward specific innovative measures. Therefore, the construction of a new type of financial information system for green environmental energy companies has emerged. The construction of this information system is beneficial to environmental energy companies. More efficient and clean development of large enterprises, and further improvement of financial information systems.
CNN Based Electromagnetic Side Channel Attacks on SoC
Authors: Xiao Yong , Xin Jin , Shen Yanhua 
Published: April 2020

Abstract
Side channel attacks are well-known thread to ciphers in real world. In this paper, we give a CNN based profiled side channel attacks on AES cipher implemented on HI Silicon Kirin 620 SoC, which is a 1.2GHz multi-core platform. With 100,000 acquired side channel traces to train, the CNN have ability to recover real key byte under 1,000 traces, even though the traces are misaligned.
Action Permissibility Prediction in Autonomous Driving through Deep Reinforcement Learning
Authors: Wang Jiaoyang , Sun Qian , Yao Degui , Xiong Feng 
Published: April 2020

Abstract
This paper proposes a new nature based on deep deterministic policy gradient for deep reinforcement learning in continuous state and action space, which can greatly accelerate the emergence of artificial intelligence training and solving problem: state-action permissibility. The proposed method is integrated into the latest DDPG algorithm to guide its training and is applied to solve the lane keeping (steering control) problem in autonomous driving or automatic driving. Finally, the TORCS which is the open racing car simulator simulation software builds various simulation environments, including different tracks to verify the effectiveness of the algorithm. The results show that the proposed method can significantly speed up the algorithm training speed of the lane keeping task.
Research on Control Method of Multi-terminal Flexible DC Transmission System Based on Voltage Droop Control
Authors: Hu Yang , Dai Yong , Wu Junxing , Xiao Qunying 
Published: April 2020

Abstract
Flexible DC transmission system has the advantages of small line loss, high reliability and strong controllability, and can reduce the frequency of system inactivity. In this paper, the voltage droop control method of flexible DC transmission system is studied in detail. Firstly, the principle and characteristics of the series structure, parallel structure and hybrid structure of multi-terminal flexible DC transmission system are introduced in detail. Based on this, the principle and characteristics of the control strategy of DC voltage droop control of the system are analyzed, and an improved voltage droop control strategy is proposed. Finally, a three-terminal flexible DC transmission system model is built on the Matlab/Simulink platform. The simulation results show that the control strategy plays a certain role in stabilizing DC, AC voltage, AC current and power balance control.
Research on the Three- phase Cascaded Dual-buck Grid-connected Inverter
Authors: Zhao Mingyang 
Published: April 2020

Abstract
The inhibition of common-mode leakage current is the key problem to be solved in cascaded photovoltaic grid-connected inverter. To eliminate the common-mode leakage current of cascaded dual-buck grid-connected inverter, a three-phase cascade double-buck photovoltaic grid-connected inverter (TPCDBGCI) topology is proposed in this paper. Meanwhile, a new phase-shifting carrier SPWM (PSCSWPM) control strategy that can make the single phase common-mode voltage and three phase differential-mode voltage constant in the half cycle is presented. Then, the simplified model and operating modes of TPCDBGCI are analyzed, which show that common-mode leakage current of TPCDBGCI is effectively suppressed. Finally, the experimental results verified the correctness of TPCDBGCI.
Application of 3D Digital Technology in the substation design
Authors: Gao Yang 
Published: April 2020

Abstract
During the operation of a substation, the requirements for the engineering design are very strict, requiring the cooperation of multiple professions, and the demand for engineering digitalization is also increasing. The three-dimensional digital technology is to effectively solve the problems encountered in the substation operation in the form of data representation and data storage, and provides reliable technical support and efficient concepts of technology for substation operation. This time, the main analysis of the specific application of 3D digital technology in the substation design, and combined with the actual situation of China’s current substation, the development prospects of 3D digital design are analyzed and prospected.
Algorithmic and Simulated Based Transmission Ratio Optimization of A Two-Speed Electric Vehicle For Car-sharing
Authors: Ma Jun , Wu Lei , Gong Zaiyan , Cao Yun 
Published: April 2020

Abstract
This paper proposes an approach to optimize the fuel economy of a two-speed electric vehicle (EV) in car sharing business through Genetic Algorithm and ADVISOR co-simulation. The ADVISOR simulation model built including dynamics, fuel cell, storage battery and motor. Under NEDC working condition, the two-speed gearboxmodeled, modeled and the optimal combination of transmission ration and main reduction ratio is found by genetic algorithm to improve fuel economy.
Study and Application of Wind Turbine Power Loss Assessment based on GD-BIN Algorithm
Authors: Zhan Yangyan , Zhou Minqiang , Ren Danyuan 
Published: April 2020

Abstract
In order to accurately assess the lost production of each wind turbine, a fusion method, which is the combination of Gaussian Distribution and bins of method (GD-BIN), was established. Firstly, Complete the first cleaning of operation data according to the operation characteristics and status logs of the unit. Further, GD-BIN algorithm is employed to establish the Wind Power Curve Model (WPCM), which can reflect the real performance of each unit. Thus, the operation data of the unit is delivered to WPCM to calculate theoretical power and lost power at each statistical moment. To verify the accuracy, it is applied in a wind farm in Northeast China and is compared to the other three current methods in the industry. Result shows that the proposed algorithm could effectively estimate lost production with a high accuracy.
Research and Development of 1200V 4H-SiC Trench JBS Diode
Authors: Li Jialin , Tian Liang , Li Ling , Zhang Hongdan , Zhu Tao , Jiao Qianqian , Wu Hao , Liu Rui , Jiang Chunyan , Sun Junmin 
Published: April 2020

Abstract
This paper introduces the design and fabrication process of 1200V SiC trench Junction Barrier Schottky (JBS) diode, and tests the performance of the diode. The cell and terminal of diode structure both adopt trench structure, by simulation and early stage, the structural parameters of device cell and terminal structure are determined, and the fabrication of 1200V SiC trench JBS diode is completed through an intact technological process. The test results show that the leak current of the device under 1200V at room temperature is about 0.36uA, when the current is 20A, the forward voltage drop is 1.53V.
Health State Prediction of Lithium Ion Battery Based On Deep Learning Method
Authors: Lu Sheng , Wang Fei , Piao Changhao , Ma Yiwei 
Published: April 2020

Abstract
To predict the health status of lithium-ion batteries, long and short-term memory (LSTM) recurrent neural networks are used to build two types of battery SOH evaluation models. The discharge capacity is as input to a single feature model. While, the charge capacity, the charge time, the average charge temperature, the charge average voltage, the discharge temperature, and the discharge average voltage are as input to a multiple feature input model. The data samples are separated to training and test dataset. The test results show that the maximum absolute error of the LSTM-based model is less than 2%, which satisfies the industry standard (less than 5%). Meanwhile, this study transfers the NASA-based lithium-ion battery model to the University of Maryland lithium-ion battery data, which can reduce model training iterations and get good performance as well. The experimental results validate the effectiveness of transfer learning in the field of lithium-ion battery SOH prediction and provide a reference for future work in this field.
Cluster Head Monitoring Nodes Secret Selection Protocol in Sensor Networks
Authors: Yuan Jinhui , Zhou Hongwei 
Published: April 2020

Abstract
In sensor networks, as the data collection point of nodes in the cluster, cluster head is easy to be the key target of attack. Once the cluster head node is controlled by the attacker, it will have a fatal impact on the security of the network. In order to solve the above problem, this paper proposes a cluster head monitoring nodes secret selection protocol. It uses secret selection algorithm to select the cluster head monitoring node from the neighbor nodes of the cluster head node. Thus, the attacker can not confirm the monitoring node, it results that the cluster head node can not be attacked. The protocol uses the spatio-temporal correlation between cluster head and cluster head monitoring nodes. Once it finds that cluster head node is suspected anomaly, it reports immediately to sink node. The analysis of protocol security shows that the protocol can meet the energy efficiency of sensor network and ensure the security of the system.
Power Quality Control Method of Distributed Generation Based on Improved PI and Repetitive Control
Authors: Ke Qingpai , Shi Xuntao , Yuan Zhiyong , Lei Jinyong 
Published: April 2020

Abstract
In view of the similar structure between the distributed generation (DG) inverter and the active power filter (APF), it is of great significance to develop the DG inverters with harmonic suppression functions. The accurate tracking and rapid response to the phase and amplitude of the harmonic components is the guarantee of the effective use of the DG inverter to suppress the harmonic. In this paper, a harmonic suppression control method of DG inverter based on improved PI and repetitive control is proposed. This method can make the DG inverter output the active power of the fundamental wave by using the PI controller, and output the high precision harmonic current compensation by the repetitive controller. While considering the existence of a periodic delay in the repetitive controller, the feedforward control of harmonic components is added to speed up the dynamic response of harmonic suppression. Finally, the simulation results show that, compared with the traditional harmonic suppression method, the proposed control strategy can ensure the steady-state accuracy and dynamic response speed of the active output and harmonic suppression of the DG inverter while reducing the computational complexity.
Research on Steam Cloud Explosion Overpressure Prediction Model Based on Improved BP Neural Network
Authors: Ma Shengxiang , Shi Xunxian , Yu Chenglong , Chen Bing 
Published: April 2020

Abstract
In order to improve the feasibility and accuracy of steam cloud explosion overpressure prediction, a combination of factor analysis method and BP neural network method is proposed to propose an improved BP neural network prediction method. According to the original data of the main influencing factors of steam cloud explosion overpressure, the factor analysis method is used to reduce the dimensional data of the five steam cloud explosion overpressure factors, and obtain a common factor; replace the original with a common factor. As an input layer parameter of BP neural network, a steam cloud explosion overpressure prediction model is established by combining the factor analysis method with BP neural network method to predict the overpressure of steam cloud explosion. The improved BP neural network prediction method is verified by the example data. The final verification result is that the relative average error between the predicted and actual values of the 15 training samples is 2.51%, which proves that the improved BP neural network model with training has a good fitting effect. The relative errors of the five predicted samples were 0.77%, 1.34%, 2.07%, 3.96%, and 6.27%, both of which were less than 10%, which proved that the improved BP neural network prediction model has better prediction accuracy.
Numerical Simulation of Flow and Heat Transfer in LPD Type Misaligned Fins
Authors: Liu Fangming 
Published: April 2020

Abstract
With the rapid development of all walks of life, heat exchangers have been used all over the various fields. Plate fin heat exchanger was concerned, because of its high heat transfer rate and the small size. Among them, the offset strip fin is called “high efficiency fin” because its special staggered arrangement structure can increase the turbulent flow of fluid and enhance heat transfer. In order to study the influence of flow and heat transfer in dislocation fins, the three-dimensional numerical simulation of LPD dislocation fins is carried out by numerical simulation. Firstly, the accuracy of the standard laminar flow model is verified by using the dislocation fins and experimental data provided by the literature. The average error between the calculated value of the heat transfer factor and the experimental value is 5.95%, and the average error between the calculated value and the experimental value of the friction factor is 2.02%. On this basis, the influence of flow parameters and structural parameters on the internal flow and heat transfer in the dislocation fins is analyzed.The results show that: (1) the smaller the fluid velocity, the lower the height of the dislocation fin; the smaller the tooth angle, the shorter the cut length; the greater the heat transfer factor j, the better the heat transfer performance;(2) The higher the fluid velocity, the higher the height of the dislocation fin, the smaller the tooth angle; the shorter the cut length, the smaller the friction factor f, the better the resistance characteristic;(3) the lower the fin height, the smaller the tooth angle; the shorter the cut length, the greater the temperature difference and the pressure drop with the length of the heat transfer section; the fin height has little effect on the velocity field, The flow distribution of the fluid flow in the flow channel is affected, the shorter the cutting length is, the faster the velocity field changes.
Human Motion Recognition Based On Inertial Sensor
Authors: Xing Mengmeng , Wei Guohui , Cao Hui , Yang Feng , Nie Yongqi , Liu Jing 
Published: April 2020

Abstract
Human activity recognition (HAR) has attracted considerable research attentions from all walks of life due to its application in human-computer interaction, smart medical treatment and smart home health care. There are various ways of using different motion capture methods for HAR. Among which, HAR based on inertial sensor signals has recently emerged as a challenging and hot research topic. In this paper, we presented a inertial sensor-based method for HAR. Firstly, the variance, mean, information entropy, peak, etc. were extracted from the inertial data as robust features of the actions. Then, the robust features were further processed by Principal Component Analysis (PCA) to reduce the dimensions of features. Finally, the features with different actions label were used to train the Extreme Learning Machine (ELM) and Support Vector Machine (SVM) model. The result can achieve an mean accuracy of 83.49%, it also verified the effectiveness of our method.
Research on Error Correction Coding Closed Set Recognition Technology Based on Deep Learning Method
Authors: Chen Jianjun 
Published: April 2020

Abstract
It is very difficult to obtain information in non-cooperative areas. Error correction coding analysis is one of the key and difficult links. The general analysis is highly demanding and highly dependent on the level of personal analysis. For this reason, we mainly study various deep learning methods, which are applied to scrambling codes, short constraint length convolutional codes, and short constraint length block codes and we also I want to rely on the development of deep learning now, to study and realize intelligence and automated analysis.
Correlation Analysis of Faults and Operating Environment of Electric Energy Meter
Authors: Peng Xinxia , Liu Ying , Du Jie , Liang Qilin , Pang Fukuan , Tan Panpan 
Published: April 2020

Abstract
The use of the re-entry energy meter is related to the on-site operating environment. First, the five-level quantitative standard is determined. Establish the correlation between the fault phenomenon and the operating environment, and use the software SPSS to analyze the correlation between the fault phenomenon and the operating environment. According to the size of the correlation, analyze the cause of the correlation. It provides a theoretical basis for the subsequent strengthening of quality supervision, management and production of electric energy meters.
Design and Implementation of Intelligent Storage System for Change Back Meter
Authors: Liu Ying , Peng Xinxia , Lu Guanna , Guo Lei , Zhao Kaiwen , Li Liang 
Published: April 2020

Abstract
Designed and developed a set of intelligent storage system for the change back meter. The storage system supports various types of inbound and outbound tasks in the MDS system and the four-line one-library interface specification, including the transfer of the inbound and outbound warehouses, the returning of the warehouses, the returning of the warehouses, and the returning of the warehouses. “Device outbound interface”. The warehousing system can receive multiple tasks simultaneously by receiving the MDS system, and has a queuing processing mechanism in the case of multi-task concurrency. The system has a complete operation and maintenance log, and automatically records information such as warehouse system inventory maintenance, manual operation, and software upgrade. Fully realize the process of asset management, back office management, and plan management management to achieve comprehensive measurement process management. The realization of process is more conducive to the orderly planning of measurement management, which is conducive to the assessment of work quality, reducing work handover and work errors, and improving work efficiency.
Design of Negative Pressure Climbing Robot Based on Numerical Simulation
Authors: Hao Guangfa , Zhang Chengliang , Liu Hao , Su Jingyi , Sun Kang 
Published: April 2020

Abstract
Aiming at the problem of low wall adsorption capacity of the wall-climbing robot, this paper designs a negative-pressure climbing wall tracing robot; the structure of the robot is designed, and a double-wheel differential control driving mode is determined; The key technical parameters are analyzed theoretically, and the calculation method of the minimum pressure difference and the minimum distance of the chassis from the ground is obtained. The numerical simulation of the negative pressure generator based on Fluent verified the rationality of the structure of the negative pressure generator. The distribution characteristics of the pressure in the negative pressure generator are displayed and analyzed. Finally, the physical model of the robot is built and the feasibility of the design is verified.