bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Analysis of Horizontal Bearing Capacity of Composite Pile Foundation for Offshore Wind Turbine
Authors: Ting Guo Wen , Chong Wu Yan 
Published: May 2020

Abstract
In recent years, with the rapid development of offshore wind power, the installed capacity is increasing, and the traditional single pile foundation is under heavy load. Therefore, the composite pile foundation composed of single pile foundation and bucket foundation (friction wheel) installed outside the pile body is gradually adopted to ensure the safety and stability of the fan during its service. In order to study the bearing capacity of composite pile foundation, the ABAQUS finite element software is used to study the horizontal bearing capacity of composite pile foundation, analyze its bearing capacity advantages compared with the traditional single pile foundation, and further optimize the design. The results show that: under the same load, the displacement and bending moment of composite pile foundation are greatly reduced due to the existence of friction wheel, and the horizontal bearing capacity of composite pile foundation is significantly better than that of single pile foundation; the diameter and height of friction wheel in composite pile foundation have obvious influence on its horizontal bearing capacity, but its thickness has limited influence on the horizontal bearing capacity of composite pile foundation. It can be seen that the bearing capacity of composite pile foundation is significantly better than that of single pile.
Problems and suggestions on environmental protection of International Power Plant Investment
Authors: Zhang Qiuxia , Deng Jiming , Hu Wendi 
Published: May 2020

Abstract
With The Belt and Road Initiative strategy, international power investment has become a major business area, and environmental protection has become one of the important restricting risks. Based on the systematic analysis of the severe challenges faced by the current international power investment, this study provides five major suggestions to deal with the environmental protection problems including: (1) strictly abiding by laws and regulations, (2) strictly implementing the environmental protection agreements, (3)improving the environmental management system, (4) focusing on the whole life cycle management and control, (5) doing a good job in territorial integration. It means to provide a reference for the green development of the international power project investment.
Study on the Adaptability of ‘Huangguogan’ in Jiangyou, Sichuan Province
Authors: Wang Tie , Xiong Bo , Jin Zhenghua , Zhang Haiyan , Chen Xinlian , Fang Qi , Zhou Qianfei , Tian Zheng , Chen Mingrong , Wang Jun , Sun Guochao , Wang Zhihui 
Published: May 2020

Abstract
In this experiment, ‘Huangguogan’ introduced from Shimian to Jiangyou was used as the materialand Shimian ‘Huangguogan’ as the reference. The adaptability of ‘Huangguogan’ was studied from three aspects: site climate conditions, basic indicators of tree bodyand fruit quality. The results showed that the overall situation of Shimian ‘Huangguogan’ was better than Jiangyou ‘Huangguogan’, especially the internal quality of the fruit, which indicated that Jiangyou was not suitable to introduce ‘Huangguogan’.
Study on the Influencing Factors of Agricultural Development in Qinghai Province
Authors: Liu Jiaxing , Chen Rongnan , Han Rui , Chen Laisheng 
Published: May 2020

Abstract
The level of agricultural economic development in Qinghai Province is directly related to the economic development, social stability, and national unity of Qinghai Province. It has an extremely important position, so studying the influencing factors of agricultural development can improve the level of agricultural development in Qinghai Province. This paper extracts seven indicators from four dimensions: production equipment, capital input, labour, and main input for multiple linear regression analysis. This paper analyzes that the total power of agricultural machinery, the proportion of peasant population at the end of the year, and the number of large livestock stocks at the end of the year have a negative correlation with agricultural development in Qinghai. The total investment in fixed assets in agriculture, rural employees, total planted area of crops, and the area of closed mountain (sand) forest at the end of the year presented positive correlations to the agricultural development of Qinghai Province. And the conclusion shows that the influencing factors of agricultural development in Qinghai Province are not only these seven main factors, but also other small aspects that need to be considered.
Effects of Different Leaf Area Index on Fruit Quality andproduction ofHuangguogan
Authors: Qiu Xia , Zhang Huiyi , Wang Bozhi , Duan Changwen , Zhang Haonan , Li Huizhi , Wang Huaer , Xiong Bo , Wang Zhihui 
Published: May 2020

Abstract
In this experiment, Citrus Huangguogan was used as the test material, and5 leaf area index (LAI) treatments were set. The fruit quality and production of each treatment were measured and analysed. With the decrease of LAI, single fruit weight, horizontal diameter, vertical diameter, total soluble solids, content of total sugar and sugar-acid ratio increased. Meanwhile, fruit shape index and content of Vc didn’t differ significantly, and content of TA decreased significantly. The yield per mu increased first and then descend, simultaneously, the number of fruits per plant, and the yield per plant increased. T1 (2.0) was the appropriate LAI of Huangguogan, under which the yield was higher and the fruit quality was the best.
Design of horticultural wireless intelligent maintenance system based on STM32 and Android
Authors: Ren Ling , Zhai Xujun , Yang Yafei , Xu Jiandong 
Published: May 2020

Abstract
According to the need of indoor potted plant maintenance, the control system is designed with STM32 single chip microcomputer and Android technology. To solve the problem of wiring difficulty in traditional wired control system, wireless monitoring is realized by using Internet of things and wireless sensor technology. The system detects soil moisture, pH value, environmental temperaturehumidity and illuminance of potted plants by sensor module, and the detection value is displayed after being processed by STM32 single chip microcomputer. Set the range of humidity value, temperature value, pH value and the minimum threshold of light intensity by pressing the key, and compare the set value with the monitored parameter value. If the humidity value is not within the set value range, the SCM outputs the control signal to start or close the solenoid valve for watering; if the temperature value is not within the range, the heater can be started for heating or the fan ventilation can be started for cooling; if the pH value is not within the range, an alarm will be given automatically to remind the user to fertilize and allocate the soil;when the photosensitive sensor module detects that the light intensity is insufficient, it turns on the LED light to supplement the light. At the same time, Android application is developed to realize remote control of watering, lighting and ventilation through mobile terminals. The simulation results show that the system has a high degree of automation, which can realize the intelligent maintenance of horticulture. It is of great significance to further improve the development of planting and maintenance towards intelligent direction in China.
Research and Design of Intelligent Greenhouse Control System Based on AIoT Fusion Technology
Authors: Liu Haibin , Fang Shengyu , Guo Xinqin 
Published: May 2020

Abstract
This article designs the entire intelligent Greenhouse system architecture, collects a large amount of data such as temperature, humidity, light, and water through Multi-sensors, and implements an improved fuzzy neural network control algorithm. The advantage of this algorithm over traditional neural networks is that it can express fuzzy and qualitative the knowledge,which also improves the overall learning ability of the system. This intelligent system combines advanced technologies such as AIoT, NB-IoT, and 5G and uploads sensor data to the cloud platform. Through this improved learning algorithm, it provides optimized temperature, humidity and lighting conditions for plants in the greenhouse, and optimal growth conditions. In addition, this system design also optimizes NB-IoT power management, which can improve the overall system information transmission rate and decoding efficiency, and better achieve connection between the 5G and NB-IoT in order to link up each operations and for transmissions. That design and research of the intelligent greenhouse control system has improved the function and the value of the traditional greenhouse control system. Through the AIoT fusion technology, the entire intelligent greenhouse system is made more convenient, intelligent and integrated.
Application of Pharmaceutical Wastewater in Planting French Marigold
Authors: Wang Yu , Huang Zhidong 
Published: May 2020

Abstract
Based on biological method, the harmless treatment of pharmaceutical wastewater is achieved, which is applied to planting French marigold after suitable dilution. The protein content, vitamin c content and reducing sugar content of French marigold are determined with ultraviolet absorption method. The experiment results show that planting French marigold with pharmaceutical wastewater had no bad effect on French marigold, which facilitates reutilization of pharmaceutical wastewater.
Comprehensive treatment and ecological restoration of mine geological hazards for Yanchi mountain in Jinan City
Authors: Meng Fan-Qi 
Published: May 2020

Abstract
The mining of underground iron ore in Yanchi mountain causes many geological disasters, such as mountain collapse, ground fissures, collapse and unstable slope, which threatens the safety of people’s lives and property, and causes ecological environment problems such as soil erosion, topographic landscape destruction and vegetation damage. According to the causes and current situation of geological hazards and ecological environment in Yanchi mountain, comprehensive treatments such as filling goaf and ground fissures, cutting slope to eliminate danger, building retaining wall and drainage ditch, hanging net spraying and slope greening have been taken to eliminate hidden dangers of geological hazards and restore ecological environment. These measures have achieved remarkable governance results, which can provide reference for comprehensive control and ecological restoration of mine geological hazards in similar areas.
Research on Dynamic Display of Radar Detection Range in Complex Electromagnetic Environment Based on GIS
Authors: Zhang Qiongyu , Guo Shichao , Wu Nankai , Deng Jiaxin 
Published: May 2020

Abstract
In this paper, relevant researches are made on the system of electromagnetic environment situation and the range of radar in complex electromagnetic environment. The parameters of electromagnetic environment data calculation parameters are proposed, and the design of a 3D radar situation display algorithm is used to develop the comprehensive display system of electromagnetic environment information. A typical dynamic simulation of radar environment is given. It can display the electromagnetic environment situation more intuitively and comprehensively, and can provide analysis methods and demonstration evaluation for the increasingly complex battlefield electromagnetic environment display, laying a foundation for a certain range of battlefield electromagnetic 3D visualization environment statistical data output and situation visualization.
Recovering selenium from a selenium-bearing pyrite smelting dust by collectorless flotation
Authors: Qi Nie , Yong Cheng , Ping Lu , Hanping Zhang , Cong Liu 
Published: May 2020

Abstract
In order to recover the valuable selenium in a pyrite smalter which contain 2.18% selenium, 0.18% copper, 0.75% zinc and 45.87% iron, contains this paper many tests were conducted and finally determined flotation as a suitable method. Satisfying results were obtained under the following flotation conditions: grinding fineness was 95% of -0.037mm and the flowsheet including one stage roughing, one stage cleaning and two stage scavenging. In addition, sulfuric acid was used as pH modifier, sodium silicate and sodium hexametaphosphate were used as depressants. According the test results, the flotation concentrate contains 7.254% selenium with recovery 80.60%, only 0.409% selenium contain in tailings, meanwhile mercury and siliver are recovered as by-products, the bulk concentrate contain 987.35g/t mercury, 1025.10g/t siliver.
The application of reservoir prediction method based on seismic low frequency properties in Xishanyao Formation in SN58 well area
Authors: Tan Jianhua , Lu Jianguo , Zhang Yongbo , Liu Mingyang , Xiang Jialin , Yi Li 
Published: May 2020

Abstract
In order to eliminate the shielding effect of the coal seam on the sand body, better predict the sand body, comprehensively apply the seismic forward modeling method and frequency division technology to extract the low frequency signal in the suitable frequency range, the seismic information of the coal seam can be filtered out, and the sand body is retained. There is a school signal, and then according to the matching relationship between the low frequency signal and the sand body, the distribution range of the sand body can be well predicted, and then the seismic inversion method and the logging data of the new drilling are used to verify whether the sand body distribution is reasonable. The results show that the sand body interpretation conclusion of single well logging data has a good correspondence with the sand body distribution range predicted by reservoir prediction based on seismic low frequency properties. In the absence of well data to participate in the calculation, the reservoir prediction method based on the low-frequency properties of the earthquake can directly reflect the distribution range of the sand body, and the reliability of the predicted sand body boundary range is higher.
Risk Analysis of Geological Disasters in Southwest China
Authors: Zhang Chao , Qin Tingxin , Huang Dong , Wang Wan , Xu Fengjiao 
Published: May 2020

Abstract
In this study, four provinces (cities) in southwest China were taken as the study area, and eight risk evaluation indexes were selected to construct the evaluation index grading system, including elevation, slope, relative elevation, soil erosion, annual precipitation, NDVI, land use and population. The analytic hierarchy process was used to obtain the weight coefficients of each evaluation index, a geological hazard risk assessment model for the study area was established, and spatial calculation and visual expression were performed by ArcGIS. The results shows that the area of moderate-risk is the largest, accounting for 37.46% of the total area; followed by the low-risk area, which accounts for 23.89%; the proportions of high-risk areas and extremely high-risk areas are 23.59% and 15.07%.According to the risk analysis results, the geological disasters area with high risk include southwest Yunnan, central Sichuan, southwest Guizhou and northeast Chongqing.
Amazon Fire Monitoring and Analysis Based on Multi-source Remote Sensing Data
Authors: Yao J Q , Zhai H R , Tang X M , Gao X M , Yang X D 
Published: May 2020

Abstract
In August 2019, a large-scale fire broke out in the Amazon rainforest, bringing serious harm to the ecosystem and human beings. In order to accurately monitor the dynamic change of forest fire in Amazon rainforest and analyse the impact of fire spreading and extinction on the environment, firstly, based on NPP VIIRS data covering the Amazon fire area, the sliding window threshold method is adopted to extract the fire point, and the cause of fire change is monitored and analysed according to the time series. Secondly, based on the time series of CALIPSO data, the vertical distribution changes of atmospheric pollutants in the amazon fire area are analysed, and the comprehensive analysis is carried out by combining NPP VIIRS data. The experimental results show that only NPP VIIRS data is used to predict the fire, and the combination of CALIPSO data can better monitor the forest fire and predict the fire development trend. The combination of optical image and laser radar has greater advantages in dynamic fire monitoring and fire impact analysis. The method described in this paper can provide basic data reference for real-time and accurate prediction of forest fires and provide new ideas for dynamic fire monitoring.
Jinan City Land Use Monitoring Based on Landsat data from 2009 to 2014
Authors: Ju Xiaolei , Wang Songbo 
Published: May 2020

Abstract
In this paper, the land use changes of Jinan City based on Landsat 5 in 2009 and Landsat 8 images in 2014 were described. The images were reprocessed by radiometric calibration, geometric correction, image enhancement, and then the land use changes information were extracted by supervised classification, which was classified by six samples, including cultivated land, forest land, construction land, water system and unused land, then transfer matrix was showed. The results indicate that from 2009 to 2014, the area of construction land, the grass land and water system has been decreasing with the area of cultivated land, forest land and unused land increasing. The cultivated land has suffered the most, and construction land has increased the most.
Study on Safety Analysis of Large Angle Rolling Test Facility for Motion Conditions
Authors: Gong Zili , Yu Shengzhi , Wang Xiaoyan 
Published: May 2020

Abstract
The large angle rolling test device for motion conditions is an Electromechanical-hydraulic integrated test facility, which provides a simulation environment for nuclear safety related verification test and basic technical research in laboratory. The test device is complex in composition. The method of identifying hazards from physical hazards and human behavioral hazards is used to find out the risk factors. Therefore, the test device has guiding significance for the safety and reliability design of nuclear power plant system, as well as for the personal security of operators, the configuration of test site, and the formulation of safety plans.
Design of Power Security Protection System Based on Neural Network Algorithm
Authors: Huang Yusong , Zhang Honglue , Shi Shi , Lv Weilun 
Published: May 2020

Abstract
Power safety is closely related to production and life, so an essential part of the power safety protection system. Safety accidents are inseparably linked to equipment and the environment. Electricity safety accidents are not rare in causing loss of life and property. The neural network algorithm-based power security system uses the analytic hierarchy process to layer multiple logical structures of the power grid, evaluates the factors that affect safety, obtains the weight of each influencing factor, and selects the higher impact on power system safety interference according to the weight Factors. Now neural network algorithms have begun to be widely used, and electrical safety systems based on neural network algorithms play a significant role in power safety. Combining neural network algorithms with power safety protection systems can effectively guide functions such as aging monitoring, life prediction, and fault identification of power equipment, and can also improve the accuracy of power system reliability assessment.
P-Fe alloy as anode materials for lithium ion batteries: a first-principles study
Authors: Huang Zhaowen , Xiao Wenping , Li Jingyang , Zhao Lingzhi 
Published: May 2020

AbstractIn this paper, based on first-principle plane wave method, P-Fe alloy interphases were studied as anode materials for lithium ion batteries. The results show that the incorporation of Fe can effectively reduce the lithium intercalation potential of P-Fe, improve the conductivity of P, and provide more lithium intercalation gap positions to enhance the specific capacity of the P-Fe alloy anode materials.
Design of new energy-saving and environmental protection harrow suction dredger system
Authors: Jing Shiqiang , Liu Lu 
Published: May 2020

Abstract
This project is to design an adaptive new rake suction dredger operating system based on soil and terrain conditions. The design is combined with high pressure water gun cutting and new rake heads. Adaptive high pressure water guns are installed on both sides of the rake head. After the substrate is cut in blocks by a high-pressure water gun, the new rake head digs it up more easily and sucks it directly into the mud tank through a high-pressure centrifugal pump. The device has strong adaptability, environmental protection, energy saving and high efficiency, and has broad prospects for popularization and application.
Photovoltaic Power Forecasting Based on SVM Optimized by Improved ABC
Authors: Liu Lin , Lu Yanyun , Li Shuqin 
Published: May 2020

Abstract
In order to improve the accuracy of photovoltaic power output prediction, a photovoltaic power prediction method based on similar days and improved artificial bee colony support vector machine is proposed. Firstly, through calculating the Euclidean distance of history day and measured day meteorological factors to determine similar days. Secondly, select historical data of photovoltaic power output, temperature, humidity and daily radiation on the slope of similar days and temperature, humidity and daily radiation on the slope of test date as input variables of support vector machine. And we adopt the improved artificial bees colony to optimize kernel function parameters and the penalty factor of support vector machine. Finally get the output in each period of photovoltaic power prediction. The experimental results showed that the proposed method can effectively improve the prediction accuracy of photovoltaic power.
Effect of calcination time on the electrochemical performance of LiNi0.8Co0.1Mn0.1O2 cathode materials
Authors: Bai Xue , He Rui , Zhang Lihui , Liu Zhenfa 
Published: May 2020

Abstract
The layered Ni-rich LiNi0.8Co0.1Mn0.1O2 cathode materials were synthesized by a solid-state method at different calcination times. The structure, morphological and electrochemical performance of the synthesized materials were studied by using X-ray diffraction (XRD), scanning electron microscopy (SEM) and galvanostatic charge-discharge tests. The results indicate that the sample prepared at 20h delivers higher rate capacities of 184.8, 182.8, 171.2, 158.3, 142.8, and 116.4 mAh g−1 at rates of 0.1C 0.2C, 0.5C, 1C, 2C, and 5C, respectively. And the sample prepared at 16h exhibits better cycle stability than others.
Analysis on the Construction Strategy of Building Electrical Engineering with Intelligent Technology
Authors: Yin Chunliang 
Published: May 2020

Abstract
Nowadays, the increasing development of China’s society has promoted the rapid progress of the construction industry, further improved the level of construction technology, and made it present the characteristics of diversified development. At present, the internal connection between electrical engineering and intelligent technology is getting closer with the rising level of science and technology, and intelligent technology is used through the beginning and end of building electrical engineering. In order to further explore the construction strategy with intelligent technology of building electrical engineering, this paper analyzed the basic introduction, application characteristics, application status, technical key points and solutions strategies of building electrical engineering, attempting to improve the construction effect of building electrical engineering with intelligent technology.