bluuebunny/crossref_metadata_2025_split huggingface dataset:
Demand response potential of customer-side integrated energy system
Authors: Zhao Wei , Wang Jingtao , Jiang Dongmei 
Published: January 2021

Abstract
Fully utilizing the adjustable potential of integrated demand response (IDR) in customer-side multi-energy system is the effective way to improve energy efficiency, decrease energy cost during supply and use, and reduce the risk of default on the customer-side. In this paper, we propose an adjustable potential analysis method of customer-side IDR considering multi-energy coupling and conversion relationships. First, we classify the loads based on energy characteristics, establish the corresponding load response model. Then, construct an adjustable potential analysis model which is constrained by multi-energy output and energy balance before and after, aimed at lowest energy operation cost on the customer-side, using linear programming algorithm for model optimization. Finally, verify the correctness and effectiveness of the model by analyzing the impact of loads reduction on response in experimental case.
Analysis of Influencing Factors of the Ice Shedding Vibration on Iced Transmission Lines
Authors: Zhang Long , You Yi , Yan Zhitao , Nie Xiaochun , Wang Feng 
Published: January 2021

Abstract
In order to study influencing factors of the ice shedding vibration on iced transmission lines. Based on the principle of nonlinear finite element analysis, the influences of the modal of conductors, the quality of the ice on ice shedding vibration response of transmission lines was analyzed by means of changing the density of transmission lines. The results show that the simulation method is reasonable and accurate. The worst condition of ice shedding on transmission lines depends on its basic vertical vibration mode. the relationship of the vibration displacement with the mass ratio of iced transmission lines both present the nonlinear proportional law.
The Development of Internet of Things Industry in China from The Perspective of Industrial Economics
Authors: Wu Guanghua 
Published: January 2021

Abstract
The continuous development of modern science and technology puts forward higher requirements for China's Internet of things technology. In this process, the industrial development of Internet technology is an important part of its work, and relevant departments must pay more attention to it. This paper first analyzes the development mode of the Internet of things, and then on this basis, comprehensively explores its development strategy.
Information Acquisition Function of Intelligent Meter Measurement and Control Unit in Electric Energy Information Acquisition and Monitoring System
Authors: Shi Shaoqing , Zhang Leping , Zhang Bensong , Peng Jianzhong 
Published: January 2021

Abstract
The traditional smart meter is relatively solid in the hardware architecture design, and gradually can not meet the needs of energy measurement and control in the future. After the in-depth analysis of the metering function will be affected by various external factors, the paper designs a new hardware structure of "dual core- one expansion module" smart meter, through the actual scheme of separation of metering core and management core The measurement and control chip with various parameters is integrated in the expansion module, which is processed and calculated by the management core, so as to realize the localization protection and alarm function of intelligent meters. Combined with the application status of energy Internet, this paper designs the position and function support scheme of the new smart meter in the energy network, and verifies the practical problems to be solved after adding a variety of measurement and control function modules. The research results have a good reference significance for the development of smart meters and meter master control in the future.
Hardware Design of an Image Acquisition Device for Target Observation and Tracking
Authors: Bian He , Zhang Haifeng , Wang Hua , Huang Jijiang 
Published: January 2021

Abstract
In order to observe and track the separated targets in the air, This paper presents a hardware image acquisition platform based on three-way camera + FPGA + two-way DSP, Xilinx artix-7 series xc7a200t-2fbg676i FPGA is used as the main processor. It is mainly responsible for high-speed image acquisition, preprocessing, transmission and display, TMS320DM368 DSP of Texas Instruments is used as image compression processor. After receiving the image transmitted by artix-7 FPGA, the image H.264 is compressed. This architecture solves the delay problem of traditional image acquisition system in hardware architecture level, and realizes the real-time and high-speed image acquisition and processing. At the same time, the hardware has the basis of multi-channel image acquisition, multi-channel image compression, visible light and infrared camera acquisition data fusion.
The Application of Improved Neural Network Algorithm Based on Particle Group in Short-term Load Prediction
Authors: Ning Yuan , Zhang Tianyin , Zhang Teng 
Published: January 2021

Abstract
Short-term load forecasting is the basis of power system operation and analysis, and is of great significance to unit composition, economic scheduling, safety verification and so on. In modern power system, the influence of meteorological factors on power system load is becoming more and more prominent. However, the traditional model fails to take into account the weather factors that affect the load change, and when the weather changes greatly, the model prediction error is large. Therefore, based on the factor analysis of five meteorological factors, a neural network prediction model combining particle group algorithm is established, and the working day load of a region is predicted, compared with the actual load, the average relative error is 1.24% and the maximum relative error is 6.50%. It shows that the model has high precision. The prediction results of the model also provide the basis for the load adjustment of the power system.
Research on Effective Management and Control team System of Power Grid Based on Internet Technology
Authors: Zhang Wenwen , Wang Gang , Kong Bin , Xu Yuan , Shen Yi 
Published: January 2021

Abstract
In the safe production and operation of electric power, grassroots teams have undertaken the main work. How to effectively control and control teams is an important issue in the power grid. This paper has designed the mobile internet management technology based on "Internet+" for mobile teams, including mobile operating terminals based on Android. Design and development, large-screen display of work order management and control based on GIS and development of web-side background management platform. The team basic management system is convenient and flexible in managing all links of team basic information. Have good Ground scalability central system to meet the development of various new personalized services, effectively improve the basic management of teams, Scientific scientific level.
Optimal V2G Method Considering Uncertainty of Distributed Generation and Load
Authors: Fu Xiao , Xu Yuzhe 
Published: January 2021

Abstract
The penetration of electric vehicles (EV) has brought many benefits to the active distribution network due to their unique advantages. But, EV also has negative impacts on the distribution network for their uncertainty. Moreover, the integration of distributed generation (DG) and the uncertainty of load demand also increase the negative impacts of EV on the distribution network. In this paper, optimal vehicle-to-gird (V2G) method considering uncertainty of distributed generation (DG) and load was proposed to reduce the negative impacts by minimizing the load peak-valley difference and maximizing the user economic benefits. To reduce the uncertainty of DG, we combined particle swarm optimization (PSO) and backpropagation neural network to create a prediction model to predict the output of DG. And Time-of-use (TOU) is used to optimize the load curve. Finally, the optimal charging and discharging time in a day can be obtained by improved particle swarm optimization algorithm (IPSO). The proposed method is verified by numerical analysis, which highlights that the proposed V2G scheduling can significantly improve distribution network stability and user economic benefits.
Fusion Model of Short Fault Recognition Based on DBN and DNN
Authors: Chen Ming , Xie Sisi , Wang Yunan , Ouyang Hao , Lan Senlin , Wang Yefeng 
Published: January 2021

Abstract
In order to ensure electrical safety, improve the ability to accurately identification of the short fault in the household circuit, we propose a fusion model based on Deep Belief Network (DBN) and Deep Neural Network (DNN). The fusion model consists of an unsupervised pretraining stage and a supervised learning stage. In the pretraining stage, a DBN which denoises the high-dimensional current data and extracts highly abstract features. In the stage of supervised learning, a DNN to learn the relationship between the features extracted and the target classes so that classify the circuit state. And the the initial parameters of DNN are given by pre-trained DBN before the latter stage. Lastly, the model is optimized by backpropagation algorithm, so as to reduce the training time and speed up the convergence speed of DNN. Besides, the current data obtained from MATLAB/Simulink simulation platform is used to train the fusion model and verify its accuracy. Experiments show that the fusion model achieves 95.67% accuracy.
Design and Analysis of Permanent Magnet Parameters for Interior Permanent Magnet Synchronous Motor
Authors: Wang Xiuping , Yang Chuhan , Li Yan , Qu Chunyu 
Published: January 2021

Abstract
For improving the performance of a 3 phase 6 pole 48 slot 55kW interior “—” permanent magnet synchronous motor, the permanent magnet parameters are optimized by using finite element simulation software with the variables of permanent magnet embedding depth, permanent magnet thickness and pole arc coefficient. In order to reduce the torque of the motor slot and increase the no-load counter electromotive force within the allowable range, the permanent magnet parameters are optimized. The results show that the motor has the best performance when the depth of permanent magnet is 251mm, the thickness of permanent magnet is 19mm and the polar arc coefficient is 0.8mm.This research result has certain reference value in practical application.
Research on Informatization Construction of Digital Substation in Smart Grid
Authors: Guo Yue , Yuan Hui , Zhuang Yan , Xu Jie , Zhang Yintie 
Published: January 2021

Abstract
The thesis is based on the premise of the technological change of digital substations. Four key points in digital substation. On the basis of technology, the "smart" characteristics of smart substations in the smart grid system are proposed and the functional architecture of smart substations is built, which reflects the informatization, digitalization, automation and interaction of smart substations from multiple angles. The current problems in the research and construction of smart substations are put forward, and the resulting research topics are analysed. Aiming at the development trend of intelligence and integration of various equipment in substations, a new system integration architecture design concept is proposed, and the specific architecture and networking methods of smart substations are elaborated.
Explore the molecular mechanism of Moslae Herba’s antiinflammatory based on network pharmacology
Authors: Kong Juan , Fang Rongze , Yang Xiaosong , Huang Xulong , Wang Xiangpei , Wu Hongmei 
Published: January 2021

Abstract
Moslae Herba has the function of inducing sweating to releasing exterior, removing dampness for regulating stomach. It is often used clinically in the treatment of summer heat dampness syndrome, fever in summer, acute enteritis, and herpes pharyngitis in children. There have been more studies on anti-inflammatory effects of Moslae Herba. However, research on the anti-inflammatory mechanism of Moslae Herba is rarely reported. Therefore, in this paper, a network pharmacologic approach was adopted to explore the potential molecular mechanism of the active ingredients in Moslae Herba for the anti-inflammatory. Firstly, all chemical components of Moslae Herba were searched through TCMSP, TDT, TCMID and other databases. According to ADME parameters (OB ≥ 30% and DL ≥ 0.18), the active ingredient in Moslae Herba was screened. Secondly, the targets of active chemical components were searched by traditional Chinese medicine target database, TCMSP database and BATMAN-TCM database, and the target data sets are established. PPI analysis and STRING database were used to construct a protein interaction network for the target of Moslae Herba active ingredients and inflammation. Finally, Cytoscape 3.6.1 software was used to construct a complex network diagram of “drug components-targets-disease”. GO functional and KEGG pathway enrichment analysis were performed by DAVID. As a result, 13 active compounds were screened out of 161 compounds. These active compounds were retrieved from 309 targets, and 143 potential targets were most closely related to the anti-inflammatory mechanism of action of Moslae Herba. Through GO biological function pathway enrichment analysis and KEGG pathway enrichment analysis, 20 biological processes and 20 signal pathways were screened. It is suggested that the active ingredients of Moslae Herba may regulate the inflammation mechanism through the main pathways such as Pathways in cancer, Tuberculosis, PI3K-Akt signaling pathway, HIF-1 signaling pathway, TNF signaling pathway.
Kinetic model for the enzymolysis of Paphia undulate by marine low-temperature alkaline proteinase
Authors: Zhang Yongli , Xu Song , Chen Xin , Chen Hua , Sun Huili , Xu Feng 
Published: January 2021

Abstract
The kinetics of enzymatic hydrolysis of paphia sinensis was studied. The molecular weight distribution of the small peptide mixture was determined by liquid and mass spectrometry. The effects of initial substrate concentration on enzymatic hydrolysis reaction, the effects of initial enzyme concentration on enzymatic hydrolysis reaction, the effects of enzymatic hydrolysis time on enzymatic hydrolysis reaction and the mechanism of enzymatic hydrolysis reaction were investigated. In this experiment, the basic kinetic model of enzymatic hydrolysis of protein was derived, and the kinetic parameters and enzyme inactivation constant were determined.
A Simulation Study on the Effect Factors of Oxygen-free Copper During Nano-micro Scratching Tests
Authors: Zhong Yuexi , Xiao Dongya , Yao Xueping 
Published: January 2021

Abstract
With the development of materials science and technology, industry demand for increasingly high performance materials. In recent years, the research on the friction and wear characteristics of materials has become a research hotspot as one of the most important factors of service performance. In this paper, a study of oxygen-free copper in micro-scratching process using smooth particle hydrodynamic method is taken to study the micro-mechanical properties of materials. It also has important significance for the micro-groove processing mechanism and material processability study.
Establishment of Rice Freshness Evaluation System and Quick Inspection Method
Authors: Wan Juan , Ying Linghong , Dai Yuanwei , Li Xin 
Published: January 2021

Abstract
This paper combines chemometrics methods to study the correlation between physical and chemical quality characteristics, thermodynamic properties, texture characteristics and flavour substances during rice aging, and screens for key flavour substances that characterize changes in rice aging and establish new aging. Degree evaluation system, develop accurate and rapid inspection methods and detection boxes for grain maturity, and promote their application. The thesis has important practical and strategic significance to realize the safe storage of rice, save energy and reduce damage, and improve the quality of stored grain.
On Computer Assisted Language Learning (CALL) and Change of Teachers’ Role
Authors: Wang Zhen 
Published: January 2021

Abstract
In recent years, being a fast developing method in language learning area, the Computer Assisted Language Learning (CALL) is widely used in language learning in the world. CALL provides a totally different new mode for language learning. Hence, it increases quality and efficiency of language learning. Through perfect combination of contents, process and computer-assisted, CALL pays attention to stimulate students to learn languages with the assist of computer and pursues best learning results. With the brief introduction of CALL, the thesis fully explores teachers’ roles in the Computer-Assisted Language Learning. With the new achievements in Computer Science, Information Technology and Psychology, CALL will be closely connected with Computational linguistics to increase the intelligence of language learning system.
How to design “Three Lines and One List” system in local regulations—Taking Regulations of Jilin Province on ecological and environmental protection as an example
Authors: Li Yuanshi , Duan Haiyan 
Published: January 2021

Abstract
Scientifically frame the red line of ecological protection, the bottom line of environmental quality, the upper limit of resource utilization, compile the list of environmental access (“Three lines and One List”), and establish a differentiated environmental management and control system covering the whole land space, which has a Great significance for promoting the harmonious coexistence between man and nature. On the basis of analyzing the contents and orientation of “Three lines and One List”, this study takes relevant system design in Regulations of Jilin Province on ecological and environmental protection as an example to analyze the orientation and challenges of formulating “Three lines and One List” in Jilin Province. Through the study of relevant system design in China and other China’s provinces and cities, this paper presents the design of “Three lines and One List” system in Jilin Province, which provides reference for the design of “Three lines and One List” system in local regulations. The research shows that it is necessary to strengthen the constraint of “Three lines” and the delicacy management of “One List”. Differ from most other provinces and cities who has formulated only one legal provision in relevant regulations, Jilin Province formulated four relevant legal provisions in Regulations of Jilin Province on ecological and environmental protection to prominence the importance of “Three lines and One List”.
Network mining of students’ friend relationships based on consumption data of campus card
Authors: Yang Wei 
Published: January 2021

Abstract
This paper takes campus card consumption data as the research object to min e the friend relationship of students. Firstly, the bipartite network of the card consumption data is mapped to a single-point network, and the Poisson distribution is used to obtain the statistically co-occurring friend relationship network, and then the friend relationship network is further filtered by the order and number of students queuing. Finally, taking a certain college as an example, the friend relationship network diagrams of the college's students in 2018 and 2019 were constructed respectively.
Research on Energy Saving and Emission Reduction Technology Based on Field Communication and Embedded Control Computer Data Exchange Algorithm
Authors: Qian Pingping 
Published: January 2021

Abstract
In addition to meeting the basic characteristics of traditional transactions, the concurrent control of embedded mobile real-time transactions should also focus on priority inversion, unnecessary transaction restart and global data consistency, performance of hybrid transaction systems, energy saving and emission reduction. When using traditional control algorithms, scheduling control is mainly based on data structure characteristics, and it is easy to cause data stack congestion. In order to solve the above problems, a stack scheduling control method of embedded data structure using multi-parameter neural network is proposed. Combined with the widely used switched Ethernet technology in defences, communications, aerospace, industrial control and other fields, a prototype of a star topology embedded software test system is introduced.
Research on Lightweight Technology of new carbon fiber wheel hub structure
Authors: Chu Dianming , Bai Wenjuan , He Yan , Ye Mingrui , Li Junwei 
Published: January 2021

Abstract
In this work, carbon fiber is used as rim and magnesium alloy as wheel hub for new design of wheel structure, making the material give full play to its properties. We use the technology of simulation analysis, dimension optimization, and topology optimization to analyse the performance of new structure. When the wheel hub meets the requirements of commercial vehicle wheel performance and test methods (GB/T5909-2009), the material weight loss of the product is 48% and the structure weight loss is 13.8%. The accuracy of the simulation and the superiority of the new technology are proved. These methods provide a new way of thinking and method for the study of lightweight technology in the future.
Experimental study of excessively-long translocation time of single DNA through sub-5 nanometer solid-state nanopores
Authors: Zhu Xin , Li Xiaojie , Gu Chaoming , Liu Yang 
Published: January 2021

Abstract
Excessively-long translocation events of single DNAs are experimentally observed using a small nanopore. Solid-state Nano pores on SiNx membranes with pore diameters less than 5nm are fabricated via Transmission Electron Microscopy. The translocation testing system is set up based on patch-clamp and Lab-on-Chip, and translocation experiments of Lambda DNAs are conducted. Stable current traces and single molecular translocation events are achieved. Statistical analysis under various cross-membrane voltages shows typical characteristics of SiNx Nano pores, including event rates, threshold voltages, and noise power-spectrum-density. Particularly, excessively-long dwell time (>100ms) events through <5 nm nanopore are observed and attributed to the interaction between DNAs and pore walls. This characteristic is compared against the basic current-blockage model as well as that of a 10 nm nanopore control experiment, demonstrating additional blockage effects.
Research on Text Emotion Analysis and Product Performance based on NLP and VAR Model
Authors: Wei Zhongji , Han Baiyang , Zhou Enxian 
Published: January 2021

Abstract
Customers’ evaluations, in terms of text or ratings, are important sources of information for online shops to decide products and marketing strategies. In this paper, we discuss methods to conclude and predict merchants’ performance and characteristics of customers’ behavior of target products based on Amazon dataset. First, we design a Natural Language Processing (NLP) model, Amazon-BERT, to predict text to rating based on transfer learning. We improve the model accuracy by 20% compared to the original pre-trained BERT, and we use the predicted rating in our following steps of modeling. Second, we use PCA to extract 5 principle components, which estimate review’ s popularity, product’s reputation and so on. And then, for pacifier, we find that vector auto regression (VAR) model fits better, we apply it to the regression and doing a Granger causality test. Finally, we looked at the impulse response and variance decomposition. All 3 factors included do have a small impact.