bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Algorithm for Forecasting Agricultural Output Quality Based on Genetic Algorithm-Back Propagation Neural Network
Authors: Yuehui Wang , Bin Wen , Xin Liao , Lan Chen 
Published: August 2021

Abstract
Nowadays, agricultural technology is developing rapidly, and the concept of smart agriculture is gradually popularized. Economic development has made consumers pay more attention to the quality of agricultural output, so the prediction of the quality of agricultural output has also become important. This research takes the sugar content level of apples as an example of the quality of agricultural output, combined with the meteorological conditions of each crop period in the apple producing area as an influencing factor, and uses the back propagation neural network optimized by genetic algorithm to establish the quality of agricultural output Algorithm model. The experimental results show that the accuracy of GA-BP predicting apple sugar content grade, MAE and RMSE are 90%, 0.1 and 0.316 respectively, which is more ideal than the traditional method.
Suppression of Doppler Ultrasound Signal Wall Components Based on Local Mean Decomposition Algorithm
Authors: Qinghui Zhang , Junqiu Li , Jian Rong , Jiawen Zheng , Jiale Xu 
Published: August 2021

Abstract
The low-velocity blood flow signal close to the blood vessel wall is very important for the early diagnosis of vascular diseases. To obtain more accurate low-velocity blood flow signals from the Doppler ultrasound echo signal, this paper proposes a carotid artery low-velocity blood flow signal extraction method based on local mean decomposition (LMD). First, the LMD decomposes the original signal into a series of product terms. Then, based on the instantaneous frequency and amplitude, the blood flow stratification index is constructed to subdivide the blood flow and blood vessel wall signals in the product component. Finally, the signal is reconstructed, thereby achieving the suppression of the clutter signal of the blood vessel wall. Experimental results show that this method could effectively obtain low-velocity blood flow signals.
Prediction of dissolved oxygen in marine ranch by Bayes algorithm based on linear sliding window selection
Authors: Sun Jiajun 
Published: August 2021

Abstract
Accurate prediction of water quality in marine ranch can help to avoid the problem of marine mortality caused by changes in water quality and can help to improve the productivity of marine ranch. In order to make effective predictions of water quality parameters, this paper proposes a Bayes-based prediction algorithm based on linear sliding window selection method, and use the model to predict dissolved oxygen data. Comparative experiments with similar algorithms illustrate that the prediction accuracy of this model has improved considerably.
A new near-lossless image information hiding algorithm with controlled hiding capacity
Authors: Zhang Yi , Zhou Quan , Hu Yan-lang , Liu Juan-ni , Liu Rui-hua 
Published: August 2021

Abstract
Image information hiding technology can embed more data without increasing the amount of transmitted data. But in most cases, the information embedding rate is different for different carrier images. To increase the embedding rate, the data will be damaged. In order to improve this problem, a new near-lossless image information hiding algorithm with controlled hiding capacity is proposed, which is referred to as NLH. This method makes the pre-processed data in a specific range to facilitate information hiding by interval transformation and data mapping. According to analysis and calculation, the lossless performance of the proposed algorithm in this paper is better than the LSB algorithm. And the result of simulation shows that this method has a fixed information embedding rate (18.75%/1.5bpp) without more transmitted data, and the original image is restored losslessly or nearly losslessly with the improved transmission efficiency.
Synthetic Aperture Radar Tomography in Urban Area Based on Compressive MUSIC
Authors: Li Hao , Yin Jie , Jin Shuang , Zhu Daiyin , Hong Wen , Bi Hui 
Published: August 2021

Abstract
Synthetic aperture radar (SAR) tomography (TomoSAR) extends the synthetic aperture principle into the elevation for three-dimensional (3-D) imaging. Spectral estimation is the conventional TomoSAR imaging method, such as multiple signal classification (MUSIC). For the sparse elevation distribution, compressive sensing (CS) is a favorable technique for the elevation reconstruction. Compressive sensing multiple signal classification algorithm (CS-MUSIC) is a combination of CS and MUSIC algorithm. It takes the advantage of both conventional spectral estimation and CS technology, and hence overcomes the drawbacks of existing methods and obtains the super-resolution ability. In this paper, the effectiveness of CS-MUSIC in TomoSAR imaging of urban area has been validated by simulated and real TerraSAR-X data. CS-MUSIC algorithm can effectively solve the problem of acquiring high-resolution TomoSAR imaging with small amount of data.
A novel method for parameter identification combining analytical method and optimization algorithm
Authors: Hao Peng , Zhang Yunpeng , Lu Hao 
Published: August 2021

Abstract
Single-diode model is widely used in photovoltaic system modelling and output estimation because of its simplicity and accuracy. This paper proposed a novel method for parameter identification and performance estimation by using measured data. The proposed method combines the analytical method and optimization algorithm to extract the model parameters and considers the deviations of different operating conditions between the measured and estimated data in calculation procedure, which reduces the dimensions of the search space and save computational cost for parameter optimization. The accuracy and effectiveness of the proposed method are validated by large number of experimental data under wide range environmental conditions.
A Comparative Study of Deep Learning Frameworks Based on Short-term Power Load Forecasting Experiments
Authors: Zhang Jingyu , Zhang Yongjun , Lu Yanping 
Published: August 2021

Abstract
This article introduces the results of comparative research on mainstream deep learning frameworks, including PyTorch, Keras, Tensorflow, and MXNet. Analyzed their similarities and differences, and compared their efficiency through short-term power load prediction experiments.
Object Oriented Road Extraction from Remote Sensing Images Using Improved Watershed Segmentation
Authors: Dawei LIU , Shujing GAO 
Published: August 2021

Abstract
A novel object oriented road extraction method is presented for the road extraction from remote sensing images. Firstly, an improved watershed algorithm is adopted for image segmentation, and the spectral, texture and geometric features of the image are fully considered in the segmentation process so as to improve the segmentation accuracy. Then road knowledge base is built and various features of the road are added into the base. Finally, the road extraction purpose is reached by calculating the features of the objects and comparing them with the knowledge base. Experiment results show that the method can achieve higher accuracy and quality in road extraction.
Modular substation intelligent control cabinet temperature control system
Authors: Yin Kang , Huang Xinying , Zhong Tingting , Chen Qingwei , Tong Xingxing 
Published: August 2021

Abstract
When the temperature control system of intelligent control cabinet of modular substation is designed by the current method, the PID controller is not improved, and there are problems such as low temperature prediction accuracy, low temperature tracking accuracy and poor control effect. The design method of temperature control system of intelligent control cabinet of modular substation is proposed. Through FPGA, input circuit, output circuit, man-machine interface, frequency division module five parts constitute the modular substation intelligent control cabinet temperature control system framework, in the temperature control system combined with the predictive function control algorithm to achieve the modular substation intelligent control cabinet temperature control system software system design. The experimental results show that the designed system can control the terminal temperature stably and reduce the temperature fluctuation to a small extent.
Intelligent Fatigue Detection Method in Industrial System Based on Facial Multi-feature Fusion
Authors: Du Xinfei , Xie Juntai , Chen Kun , Gao Jianmin , Liu Yang 
Published: August 2021

Abstract
With the development of science and technology, the complexity of industrial production system has been significantly improved, and higher requirements have been put forward for human safety. Aiming at the contradiction between the intrusiveness and the accuracy of fatigue behavior detection in human factor safety, a multi-feature fusion intelligent fatigue state detection method was proposed. Firstly, the image recognition algorithm was used to accurately obtain the information of facial expression feature points. By analyzing the dynamic characteristics of all the feature points, the facial fatigue features were extracted. Secondly, an experimental scheme was designed to collect and process facial expression feature data, and a dynamic marker model of fatigue characteristics was constructed to form a fatigue index that directly reflected the fatigue degree of the working process. Finally, the neural network regression model was established to fit the characteristic data. Through the comparative analysis of different schemes and various evaluation indexes, the rationality of the fitting results of this method was proved. The experimental results show that this method can reasonably quantify the fatigue index of people under different conditions, and realize the intelligent detection of facial fatigue state.
Temperature Modeling of Reflow Soldering Based on the Heat Transfer Mechanisms
Authors: Tang Zihao , Huang Binshan 
Published: August 2021

Abstract
In the production of integrated circuit boards, electronic components need to be automatically welded to the circuit board by a reflow oven. Reflow oven welding is the core process of producing circuit boards, and the centre temperature of the welding area is extremely important to the quality of the final product of electronic components. Based on the experimental data, we establish a non-steady heat conduction model based on Newton's cooling law, and use the method of least squares to determine the dynamic parameters, and finally use the finite difference method (FDM) to solve the models.
Secondly, the reflow oven speed will also have an impact on the product quality. At the same time, a single-objective linear programming model with the maximum furnace speed is established, then the step size is to perform a fine search to solve the problem.
Dynamic characteristics analysis of XLPE cable charge under different aging degree
Authors: Zhao Tengfei , Nie Yongjie , Cao Min , Li Pengwu , Bai Jianwei 
Published: August 2021

Abstract
To study the dynamic charge characteristics of XLPE cables. In this paper, a Qt test system is built in the laboratory to test the Qt dynamic charge characteristics of different thermal aging samples, and the current characteristics of different aging degrees are obtained according to the charge test differentiation. The experimental results show that the charge value of unaged sample is about 1100 nC, and the charge value of aged sample is about 2000 nC. At the moment of pressurization, the XLPE cable sheet sample flows through a large instantaneous charging current, and the initial current is more than 10−9 orders of magnitude. For the unaged sample, the charge accumulation value and conduction current value of H1 and H2 are better than those of F sample. The analysis shows that due to the insufficient aging degree of the sample, the initial aging stage is in the recrystallizaon stage.
Regulation Performance of Virtual Synchronous Generator Applied in Renewable Energy System
Authors: Qi WeiZhi , Zha Daojun , Wu Tonghua , Dai Wei , Li Xindong , Hou Xiaofan 
Published: August 2021

Abstract
The conventional synchronous generator (SG) can regulate the active and reactive power for frequency and voltage stability, when the system fluctuates. In renewable energy generation system (RES), the stability problem of RES can be solved by adding virtual inertia and damping in the control strategy of the grid-connected inverter. The grid-connected inverter and renewable energy system with this kind of control strategy, called as virtual synchronous generator (VSG), acts as a synchronous generator. In this paper, the topology of grid-connected PV array and energy storage system is proposed. The VSG used in grid-connected inverter, is modelled as stator and rotor model by stator voltage equation and rotor motion equation, respectively. Meanwhile, the VSG control mechanism, based on droop control and model of VSG, can be divided as active power-frequency and reactive power-voltage control. Besides, the system stability is analyzed based on small signal model, for the design of inertia and damping. The simulation model is designed by MATLAB/Simulink for the implementation of VSG. In simulation, it is compared that the dynamic regulation performance of VSG with different control coefficient, such as virtual inertia, virtual damping, droop coefficient and integral coefficient. The optimization for regulation performance in simulation provides an appropriate selection method of the control coefficient for VSG.
Analysis of the mechanism of thermal collapse of MOA valve plates caused by multiple lightning strikes
Authors: Yang Jinming , Ma Yi , Ma Yutang , Pan Hao , Du Han 
Published: August 2021

AbstractMultiple lightning strikes are a common phenomenon in nature, and their impact on the power system cannot be ignored. MOA is an important device for lightning protection in power systems, but under certain conditions multiple lightning strikes can cause thermal collapse of MOA. In order to study the mechanism of the thermal collapse of MOA valve plates caused by multiple lightning strikes, a microscopic model of zinc oxide crystals was established, the heat transfer performance of zinc oxide crystals was simulated, and the temperature field when the size of zinc oxide crystals and the area of the grain boundary layer was different were compared. In this paper, the mechanism for the thermal collapse of the MOA valve due to thermal stress was analyzed, and the reason why multiple lightning strikes are more likely to cause MOA energy overload than a single lightning strike was explained. This research provides reference for the selection and maintenance of MOA.
Partial discharge detection method for lower porcelain shell of oil paper insulation bushing based on spatial UHF signals
Authors: Li Jiansheng , Wang Shengquan 
Published: August 2021

Abstract
The partial discharge in lower porcelain shell of oil paper insulation bushing is one of the important reasons for transformer failures. Based on the analysis of the oil paper insulation bushing structure characteristics, the finite difference time domain simulation model of the partial discharge in lower porcelain shell is established. And the path of UHF signal of partial discharge is obtained that the signal spreads through the insulation between capacitor screens and oil passage to the outer space. Then the lower porcelain shell partial discharge detection method based on the space UHF signal is proposed and verified.
Process Level Fault Probability Distribution Model of Intelligent Substation Based on Tree Structure
Authors: Shen Diqiu , Zhang Kefeng , Wang Liang , Lu Wenxing , Zhu Qiaojie 
Published: August 2021

Abstract
In order to estimate the probability distribution of process level fault in Smart Substation, a tree based probability distribution model of process level fault in Smart Substation is proposed. Taking 14 years' process level fault data of Smart Substation in a regional power grid as sample data, this paper compares and analyzes various probability models. The probability distribution of process level fault scale of Smart Substation in this area is calculated by using the Boley Tanner branching process model in tree structure. The experimental results show that the model can estimate the probability distribution of process level fault size of Smart Substation well. Under the same confidence requirement, the sample data needed by the method based on the Boley Tanner model to estimate the fault probability distribution is one order of magnitude less than that directly based on the actual fault data.
weighting power quality evaluation based on cloud model and anti-entropy
Authors: Wei Feishen , Xu Qifeng , Xie Nan , Gong Ze 
Published: August 2021

Abstract
There are subjectivity and uncertainty in the general comprehensive evaluation of power quality. And there are problems of randomness and ambiguity in the boundary of power quality classification. Firstly, the subjective weight is obtained based on the cloud model theory. Secondly, the objective weight is obtained based on the improved anti-entropy method. Thirdly, the subjective and objective combined weight is obtained through the moment estimation theory. And then the final score of each observation point is obtained and sorted by the improved TOPSIS. Finally, the effectiveness and feasibility of the method are verified by an example, which provides a new idea for the effective combination assessment of power quality.
Distribution network with distributed power protection setting policy666
Authors: Xin XU , Shirong WANG , Jianan ZHANG 
Published: August 2021

Abstract
When Distributed Generation (DG) is connected to the distribution network, the original network structure will change, leading to various distribution grid protection deviation, the instability of the network appears. In order to guarantee the reliability and economy of power distribution grid, distributed power and full of potential, so access to protection for distributed power grid feature is the need for research. In-depth discussion on the relay protection setting strategy when distributed power sources are connected to the distribution network, and launch a new current protection scheme. Simulated using simulation software PSCAD / EMTDC.To verify its reliability, quick-movement, selectivity and sensitivity, it has strong application significance in practical engineering.
Development of Auxiliary Tools for the Insulation Rod Method in Live Work of 10 kV Distribution Network
Authors: Li Jin-liang , Yang Miao , Li Hong-qing , Liu Ding-guo , Long Chen-hai , Yang Jie , Ren Hui-song , Xiong Zi-xuan , Luo Wen-hui 
Published: August 2021

Abstract
The live work of distribution network can effectively improve the reliability of residential power supply. Live breaking or connecting the drainage line is the most extensive project in the live work of distribution network. Due to the lack of the special fixing tool of the drainage line and the placement tool of insulation rods, the result is that the labor intensity of operators is large and the installation process quality of wire clip is difficult to guarantee in the process of live breaking and connecting the drainage line. Focusing on above problems, the special fixing tool of the drainage line and the portable insulation rod hanger are developed. The specific application method is introduced in this paper. The field application is carried out after the electrical test is qualified. The field application shows that applying the auxiliary tools can effectively reduce the labor intensity and improve the working efficiency.
Comparative study of 0.1Hz very-low frequency withstand voltage test method and traditional method
Authors: Sun Dong , Gao Jinyu , Piao Yongxin , Guo Bo , Qu Chengjia , Gao Zichen , Wang Hongxing 
Published: August 2021

Abstract
The o.1Hz very-low frequency withstand voltage test method has the advantages of small equipment size and low power demand, and is used more and more in the power grid, especially in withstand voltage test. However, the effect of this voltage waveform and the traditional test waveform on the insulation assessment is still unclear. This paper compares the difference between 0.1Hz very-low frequency and DC voltage, resonance voltage and oscillating wave voltage in the withstand voltage test. Research indicates that the 0.1Hz very-low frequency withstand voltage test has good equivalence in cables with mechanical "faults", water tree defects in cables and power frequency, and relatively poor equivalence in terms of needle plate electrode insulation defects.
The research on current rush to air mass in delivery pipeline system with YOUNGS-VOF method
Authors: Jie Fang , chun-jian Cao , mingquan Ding 
Published: August 2021

Abstract
Water hammer with gas often occurs in long delivery pipeline system lager than ordinary water hammer, surface tracking between air and water is important and difficult. In this paper, flow rush to interception air-mass in long water conveyance pipe system is researched on base on surface in between water and gas tracking method of staggered grid dispersed with YOUNGS-VOF, the limited compressibility method of viscous incompressible fluid control equations, and numerical method of ideal gas state equation. The numerical results show that YOUNGS-VOF method can be used to deal with the interface and water hammer is consistent with the theory analysis.
Adaboost-Based Power System Load Forecasting
Authors: Ling WuNeng , Zhang Pan , Li QiuWen , Mo Dong , Luo CuiYun , Li YiMing , Liang ZhenCheng 
Published: August 2021

Abstract
This study presented a penetrating insight into the basic principle of ensemble learning and the ensemble technique Boosting, and deduced the theoretical model and learning principle of the adaptive ensemble learning. Besides, it proposed a Adaboost-based power system load forecasting method, and validated the effectiveness of this method through the empirical forecasting of a provincial medium and long-term load. The calculation example in this paper proves that high-accuracy of medium and long-term load forecasting can be achieved by using Adaboost-based power system load forecasting method.
Numerical simulation of electrical network left ventricular circulatory system with biological valve motion model
Authors: Wu Xiangyu , Zhang Yunpeng , Wang Houfu 
Published: August 2021

Abstract
This paper presents a new concentrated parameter model represented by an electrical network model for cardiovascular dynamics that includes an innovative model of biological heart valve dynamics. We obtained the hemodynamic waveform of the heart by solving the equations of state through programming. The results show that using the biological valve motion model can reflect the phenomenon of blood return flow that is not found in the ideal diode model. This model can simulate the biological characteristics of heart valve reasonably and accurately, and it is simple and easy to control.
Comparative analysis of sealing effect of different hole sealing processes in coal mine
Authors: Xiong Wei 
Published: August 2021

Abstract
In order to improve the concentration of gas extraction from boreholes in Liyazhuang Coal Mine, three different sealing technologies, namely bagged polyurethane sealing, self-expanding sealing device sealing and new expansion cement sealing, were tested in the field. It was found that the new expansion cement sealing was the best for boreholes. Further investigation into the meso-characteristics of the combination of the new type of expansive cement and coal wall shows that the new type of expansive cement for mining has a compact overall structure, strong articulated ability to the coal body, and can effectively seal the hole and fissure of the coal body with superior sealing performance.