bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental problems of the development of transport in the transboundary region as exemplified by the Baikal basin and its cartographic study
Authors: Dashpilov Ts B 
Published: January 2021

Abstract
Geoinformation support in the form of large cartographic atlases of complex content is intended to decide the issue of the Baikal region development, as the Lake Baikal catchment basin has a special nature management regime. Therefore transport maps among other industry maps are important for the analysis of regional development of the region. The compilation of transport maps requires presentation of all objects, processes, phenomena and interactions of the transport complex. In order to streamline the structure of thematic layer formation and the system of cartographic signs for displaying transport, a semantic classification of cartographic signs of transport systems was developed. Initially, we analyzed a large number of maps from various geographic atlases of various territorial levels. Then we generated a semantic database of transport maps. The developed classification streamlined the structure of the thematic layers of transport maps and, generally, the system of cartographic signs for transport layer. In the event of compiling a map of transport impact on the environment, we selected several semantic parameters that characterize the transport complex and individual indicators of transport impact on the environment. Consequently we created a map of transport impact on the environment in the Baikal basin. Then we analyzed the transport impact within the Lake Baikal catchment area on the basis of the created maps, as well as other literature and statistical sources. This analysis enabled conclusion about the fact that the greatest pollution of the Lake Baikal catchment area comes from automobile and water transport.
Reasons for changing the vector of Russian exports and the new role of the Arctic
Authors: Dets I A 
Published: January 2021

Abstract
The article provides an overview of projects for the construction of the export infrastructure of Russian resources, implemented in the recent decades. The factors influencing the decisions on the construction of the largest oil pipelines (Baltic pipeline system I and II, Eastern Siberia – Pacific Ocean) and gas pipelines (Nord Stream I and II, Turkish stream, Power of Siberia and others) are analysed. An approved program for the development of the Northern sea route until 2035, which involves major investments in the creation of a new eastern export route, is also being considered. The analysis shows that in addition to the political factor, the decisions on financing the new export infrastructure are influenced by the factors of competition and global warming. The latter acts both as a limiting factor due to environmental restrictions on fuel consumption in the European Union and as a stimulating factor due to the Russian government‘s hopes for more stable and cheaper navigation along the Northern Sea Route. The analysis illustrates that the export diversification policy in general is yielding results, which is demonstrated by an increase in the share of exports in the Asian direction. However, it remains unclear how rational financing new projects for the export of energy resources is in the context of a long-term trend towards a decrease in their cost in world markets.
The effect of earthworm (Eisenia foetida) on the growth of Medicago sativa
Authors: Hu Xia , Huang Jiao , Wang Zhiyong , He Yanqing , Yin Peng 
Published: January 2021

Abstract
In order to study the effects of earthworms on the physiology of Medicago sativa, the effects of different numbers of earthworms (0, 2, 4, 6) on the soil organic matter, plant height, root length, biomass and soluble protein content of Medicago sativa were studied. The results showed that: compared with the control group, (1) The content of soil organic matter increased significantly with the increase of earthworm inoculation; (2)Earthworm treatment had no significant effect on the plant height and biomass of Medicago sativa; (3) Two earthworms’ inoculation significantly increased soluble protein content of Medicago sativa and promoted the growth of Medicago sativa roots; (4) The correlation analysis showed that the content of soil organic matter had a significant positive correlation with Medicago sativa plant height, and a significant negative correlation with underground dry weight. The results showed that earthworm inoculation had a positive effect on improving the yield and quality of Medicago sativa, but the specific amount of earthworm inoculation should be determined by the soil conditions, planting environment and other factors.
Relationship between Phytoplankton Community and Environmental Factors in Spring in Jinan, China
Authors: Xiang Hua , Han Xiao , Shang Shuqin , Liang Jingjing , Yin Xuwang , Wang Mi 
Published: January 2021

Abstract
The study was to show the relationship between the community structure of phytoplankton and the associated environmental factors, based on Shannon-Weiner index, classification of phytoplankton community and CCA analysis and other methods in Jinan Region in May 2018. We identified 39 phytoplankton species in spring. The average values of phytoplankton number, densitiy, Shannon-Wiener index and Pielou index was 7.00, 4.63 × 105 cells/L, 2.80 and 0.76 in spring, respectively. CCA analysis results showed that phytoplankton community structure was largely determined by the interactions between CODMn in spring in Jinan Region.
Optimization of Blanching Process of hawthorn using central composite design and response surface method
Authors: Cui Hanyuan , Song Zhaowei , Zhang Yue , Chen Xiaoming , Zhang Zhijun , Zhan Yuexiang , Guo Xingke 
Published: January 2021

Abstract
Response surface method (RSM) was used to optimize hawthorn blanching process based on single-factor experiments. There were two numerical (time and temperature) and one categorical variable (POD enzyme activity) that was used for the evaluation of the hawthorn blanching quality. The changes in POD enzyme activity, procyanidin content, and total flavonoid content were also analyzed. The regression model (P< 0. 05) was obtained through Central-Composite experimental design, indicating that the model could evaluate the residual POD enzyme activity in the blanching process under different parameters. The results show that time 103s and temperature 92.5°C were the best blanching conditions. Under these optimized conditions, the residual POD enzyme activity of hawthorn was within a reasonable range, which was 0.7731 U⋅g-1⋅min-1. The calculated results were basically consistent with the model predicted values (0.7989 U⋅g-1⋅min-1).
Research and Analysis of On-Line Optimization Algorithm of Nonlinear Model Predictive Control Based on Hydropower Installation Field
Authors: Gou Xiaoping , Zhang Wanjun , Zhang Feng , Zhang Jingxuan , Zhang Jingyi , Zhang Jingyan 
Published: January 2021

Abstract
Because of the strong nonlinearity of the controlled system, it cannot be expressed in the form of state space, and the calculation of nonlinear programming is large, so it is difficult to get the analytical solution. At present, it is generally solved by numerical method. The GPC stability theory based on state space analysis and internal model control is difficult to be applied in this case. In this paper, a fast algorithm of online optimization of nonlinear model predictive control based on the field of hydropower installation is presented. A fast algorithm control system of online optimization of nonlinear model predictive control is established and simulated by MATLAB. The simulation results show that the dimension of nonlinear programming solution in rolling optimization is effectively reduced and the feasibility of MPC is improved. Compared with single machine and multi machine systems, the model predictive control method is proved to have strong ability of generator terminal voltage maintenance and electromechanical oscillation damping.
Research on Matching of Power Transmission System of Electro-Hydraulic Hybrid Electric Vehicle
Authors: Meng Zewen , Zhang Hongxin , Yang Jian , Zhao Qinghai 
Published: January 2021

Abstract
Considering the high power density and high recovery efficiency of the hydraulic energy storage system, the power system combined with the hydraulic pump is adopted. The matching of automobile power transmission system includes the matching of hydraulic pump parameters, hydraulic accumulator parameters, motor parameters and battery parameters. AMESim and Simulink were used to carry out simulation modeling to analyze its performance. The simulation results showed that the adaptive combination of hydraulic system and battery system in electro-hydraulic hybrid vehicle could effectively improve the economic performance of the vehicle while ensuring the dynamic performance of the vehicle. It puts forward more efficient technology concept for the future development of hybrid electric vehicle.
Research on The Application of Identifier Resolution and Blockchain Technology in The New Energy Field*
Authors: Wang Huanjuan , Xuan Jiaxing , Qin Rizhen , Han Shaoqin 
Published: January 2021

Abstract
With the development of new energy power generation technology, distributed generation technology and small personal power generation have become an important development direction for new energy power generation. However, distributed generation technology may have the information island phenomenon. due to its construction, grid connection, transaction and other links with data scattered in various departments, enterprises. Besides, difference in products, equipment and data type and lower degree of data sharing in links aggravate this phenomenon. In order to get through and integrate the data information of each new energy system, realize the sharing and centralized management of platform data resources, and remove the business barriers between various departments and enterprises, this paper proposes to use the electric power Internet of things identifier resolution system to standardize the data of all links in the new energy system, and each link in the system uses open data to create more value. In addition, this paper also uses a combination of blockchain technology and the Identifier resolution system to optimize new energy power transactions, and proposes a method for sharing private data in a small range of users. Inject new impetus into the development of new energy distributed generation.
Research Review of Green Vehicle Routing Optimization
Authors: Wang Yao 
Published: January 2021

Abstract
Green vehicle routing problem (GVRP) has emerged as an important agenda in green logistics and received scientific attention from researchers. In this paper, a literature review on recent developments regarding the GVRP is presented. In order to further clarify the research status, a classification of GVRP that categorizes GVRP into pollution routing problem and new energy vehicle route problem. it is concluded with some significantly promising tends and future directions about the research on GVRP.
Deformation monitoring of photovoltaic power stations and substations in Yangquan using time-series InSAR
Authors: Jia Jianjun , Yang Haifei , Gong Hao , Ke Xianbing , Guo Xiao , Bie Shiguang , Wu Nian 
Published: January 2021

Abstract
Yangquan is rich in coal resources, and coal mining activities are frequent, which usually causes significant subsidence in the mining area. Substations and power stations around the mining area may be affected by subsidence. In this paper, the time series SAR images of the 25 Sentinel-1A satellite in Yangquan from January to November 2019 are obtained to monitor the deformation of substations and photovoltaic power stations by using the SBAS-InSAR technology. The results show that the deformation range of the study area is between -23.8cm and 11.2cm. In addition, there are multiple subsidence “bowl” due to coal mining. The deformation range of the feature points of the five substations in Wenchi, Niangziguan, Changling, Luhu and Ceshi is between -1cm and 1cm, which are in a stable state. However, there is a continuous linear subsidence phenomenon in Ququcheng photovoltaic power station. Among the Ququcheng three subsidence feature points, the maximum annual subsidence reaches more than 4cm. The main reasons for the subsidence are the gravity component of soil and the increased ground load caused by the power generation device in this area.
Isolation and Culture Conditions Optimization of a New Bacterial Cellulose Producing Strain Komagataeibacter intermedius 6-5
Authors: Zhu Biyun , Zhang Zilong , Wang Heng , Ma Xia 
Published: January 2021

Abstract
A strain producing bacterial cellulose (BC) screened from Shanxi millet fermented vinegar was identified as Komagataeibacter intermedius 6-5 by the examination of taxonomic characteristics and 16S rDNA sequence analysis. Then, Fourier transform infrared (FT-IR) spectrum showed that pellicles produced by strain K. intermedius 6-5 had the same spectral characteristics as typical BC. Box-Behnken experiments studied used pear residue as a medium, the fermentation conditions of strain K. intermedius 6-5. The results showed that the optimal fermentation conditions were: glucose additive amount 3.62% (w/v), citric acid additive amount 0.45% (w/v), inoculation amount 9.39% (v/v). The BC yield was as high as (11.54 ± 0.42) g/L after seven days of culture at a natural pH and 30°C under static cultivation conditions.
The Pressure Control of High Pressure Tubing Together with Problems about Carbon Deposit
Authors: Chen Hongliang 
Published: January 2021

Abstract
In this article, we solve the controlling problems raised by the problem for the part A of the 2019 Chinese University Students Mathematical Modeling Competition—Pressure Control of High Pressure Tubing. Also we have considered the actual problems that may arise, and give a feasible controlling plan. This article is based on fluid mechanics model and micro-element thinking. With the help of software tools such as Excel, Microsoft Visual Studio, and C++ language for programming calculations and simulations, we finally give a feasible solution to stabilizing the pressure in the high-pressure oil pipe, which provides a reference to improve engine efficiency.
Dynamic Analysis of Valve System of Gasoline Engine Based on AVL-Excite
Authors: Guo Huali , Zhang Ruibin 
Published: January 2021

Abstract
There is an important relationship between the valve system and the engine's power, economy, and emissions. If the valve system is designed unreasonable, it will have quite large influence on the engine's charging efficiency, which reduces a decrease in power, insufficient power, and worsen emissions. Therefore, a good valve system can improve engine performance while meeting higher charging efficiency. This paper uses the 3D modeling software UG to establish model of the valve system of a gasoline engine firstly. Then it is established that the valve system kinematics and dynamics simulation model combined with AVL_EXCITE. According to the analysis of the relative movement of the cam profile under the rated power of the gasoline engine, referring to the evaluation index, the deficiency is found and the optimization scheme is proposed.
Model-free Path Following Control of Unmanned Surface Vehicle Based on Adaptive Line-of-sight Guidance
Authors: Niu Guangzhi , Wan Lei 
Published: January 2021

Abstract
A path following control scheme based on virtual transition line-of-sight (LOS) guidance law is proposed for model-free unmanned surface vehicle (USV). In the guidance part, an adaptive LOS circle radius based on the transition layer is designed to improve the convergence speed of USV. Aiming at reducing the overshoot of turning, a small angle transition steering strategy is proposed. In the heading and speed control part, the intelligent adaptive S-plane (IAS) heading controller and intelligent adaptive integral S-plane (IAIS) speed controller with strong robustness are designed respectively. In order to improve the following efficiency, a speed solver based on heading deviation and path point distance is designed. The effectiveness of the guidance strategy and the control algorithms of heading and speed proposed in this paper are verified by the comparative simulations.
Research on Collision Avoidance Path Planning of Double SCARA Robot
Authors: Dang Lifeng , Zhang Liangan , Shi Qin 
Published: January 2021

Abstract
This paper takes double SCARA robot as the research object and uses the computer graphics method to get the collision detection method of two robotic arms at a certain moment. On the basis of collision detection, the C-space method is used to plan the collision avoidance path for the two robots and the two robots considering the end-effector, and the collision avoidance algorithm for the double SCARA robot is obtained. Then, the simulation experiment is carried out to verify the correctness of the algorithm.
Research on calculation of spinning reserve capacity of wind power system considering multiple uncertainties
Authors: Li Zhiyong , Liu Chunxiao 
Published: January 2021

Abstract
With the development of artificial intelligence technology, power system has gradually adopted this technology. In order to better promote the application of artificial intelligence in power system, various algorithms for power system need to be further optimized and improved.After a large-scale wind power grid-connected, its random fluctuation characteristics significantly increase the uncertainty of power system operation. The traditional deterministic reserve capacity determination method has been difficult to meet the needs of the safe and economic operation of the system. It is necessary to comprehensively consider all kinds of uncertain factors that may change the operation state of the system, so as to accurately obtain the rotational reserve demand of the system. Based on this, considering the multiple uncertainties of wind power forecasting error, load forecasting error and conventional outage, this paper proposes a method to determine the reserve capacity of power system including wind power, and deduces the quantitative relationship between upper reserve capacity and loss of load probability (LOLP), lower reserve capacity and wind curtailment probability (WCP). Finally, a case study is given. The research in this paper can be used as the basis of coordinated dispatching and reserve sharing of interconnected power systems.
Internal Combustion Engine Fault Diagnosis Method Based MICEEMD-PWVD
Authors: Mu Weijie , Jiang Haibo 
Published: January 2021

Abstract
As to multi-signals, the figure of time-frequency distribution becomes difficult to understand due to cross-terms in the Wigner-Ville distribution (WVD). At present time, cross-terms suppression of time-frequency analysis is one of the top interests in signal processing, and more and more research had been put on this topic, but the present research on cross-terms suppression exist conflicting problem that these methods couldn’t suppress the cross-terms while holding high time-frequency resolution. A novel method of cross-terms suppression in the WVD based on Complementary Ensemble Empirical Mode Decomposition (CEEMD) was proposed to solve the above problem. Firstly, multi-component signals were decomposed into intrinsic mode functions (IMFs) which were single component signal by CEEMD; Secondly, the Mutual Information values of IMFS and original signal were calculated to judge and delete the CEEMD false components; Thirdly, these Wigner-Ville distributions of true component of IMFs were computed; Finally, WVDs of each single component signal were added linearly to reconstruct the WVD of original signal. Test on synthetic data shows the effectiveness of the proposed method, which can suppress the cross-terms while holding high time-frequency resolution. Apply MICEEMD - PWVD in internal combustion engine valve clearance fault diagnosis, useTD-2DPCA method to extract MICEEMD-PWVD time-frequency image feature, then classify the characteristic parameters with the nearest neighbor classifier. The results show that the IC Engine Fault Diagnosis Method Based MICEEMD-PWVD and TD-2DPCA can accurately diagnose IC engine valve fault.
The research of diagnosing Photovoltaic building fault based on State Grid Distributed Photovoltaic Cloud Platform
Authors: Xie Xiangying , Guo Xingke , Ma Xiaoguang , Cai Shixia , Ai Yufei , Luo Cong , Ge Leyi 
Published: January 2021

Abstract
SGCC invented State Grid Distributed Photovoltaic Cloud Platform (SG-DPCP) in 2018, which is the largest distributed photovoltaic public service cloud platform in China. Based on the power generation data of SG-DPCP, in use of Big Data analysis technology, this paper proposes a method to accurately diagnose the fault types of photovoltaic buildings. The effectiveness of this method is verified by a specific application study.
An Intelligent Pruning Device for Tomato Lateral Branches
Authors: Sun Wei , Cao Shanshan , Qiu Qin , Wu Jianzhai , Xing Liwei , Liu Jifang 
Published: January 2021

Abstract
In order to realize automatic pruning technology of tomato, an intelligent pruning device of tomato lateral branch was designed. A pulley is arranged in the track at the top of the greenhouse tomato planting shed, and a bracket is arranged through a mechanical connection, and a positioning module and a lidar module, a positioning module, a lidar module, a secondary close-range camera and a binocular camera are arranged in the middle section of the crossbar. Through binocular camera to identify and locate the axil part of the leaf, the mechanical arm II fixed the main stem of tomato plant, and judged whether the lateral branch grew in the axil of the leaf through the terminal visual unit, so as to prune or smear the inhibitor to complete the pruning of the tomato lateral branch. This paper effectively solves the efficiency of tomato daily management low and low precision technical problems, which provide a solution for the artificial picking of substitute tomatoes.
Research and Analysis of Step Intelligent Model Predictive Control of Generator Excitation System Based on the Field of Building Installation
Authors: Gou Xiaoping , Zhang Wanjun , Zhang Feng , Zhang Jingxuan , Zhang Jingyi , Zhang Jingyan 
Published: January 2021

Abstract
The traditional hydroelectric unit control system mostly adopts proportional integral derivative (PID) control strategy, which has simple control algorithm structure and is easy to understand and realize by the operation and maintenance personnel of the power station. However, its control objective is single, and the dynamic process and internal state information of the system water machine electricity coupling are less considered, especially the lack of the ability to constrain the system state variables In order to meet the increasingly complex operating environment in the regulation system of hydropower units high-quality control needs. Therefore, a step intelligent model predictive control method for synchronous generator excitation system based on tree algorithm is proposed. The step control and intelligent optimization algorithm are introduced into the rolling optimization of model predictive control, which effectively reduces the dimension of nonlinear programming solution in the rolling optimization and improves the feasibility of the control algorithm. In order to ensure the closed-loop stability of the control system, the concept of "quasi infinite time domain optimization" is introduced into the design process of the model predictive control of the excitation system of synchronous generator. The terminal penalty term and the terminal inequality domain are added in the rolling optimization link, and the "virtual" local linear feedback controller outside the prediction domain is designed. Compared with the traditional excitation control method in single machine and multi machine systems, it is proved that the predictive control method has stronger ability of generator terminal voltage maintenance and electromechanical oscillation damping than the conventional excitation control method.