bluuebunny/crossref_metadata_2025 huggingface dataset:
Mining secondary metabolism of achromobacter and analysis of key genes of petroleum degradation
Authors: Li Qianru
Published: March 2021

In this study, in order to further deepen the understanding of Achromobacter genomes in degrading petroleum, explore its secondary metabolic pathway, and make better use of this strain, the genomes of 20 Achromobacter strains were obtained from NCBI database, and analyzed by related gene information analysis software and secondary metabolite mining software. It was found that the genomes of 20 Achromobacter strains ranged in size from 5.67-7.21Mb to 7.21 MB. The GC content ranges from 63.7% to 68.2%, which contains 9 classes and 73 secondary metabolic gene clusters. The main secondary metabolic gene clusters are tetrahydropyrimidine, phosphonate, aryl polyenes, etc. The main oil degradation functional genes are alkB, etc., so the main degradation objects are short-chain and medium-length alkanes. The analysis results of this study are helpful to understand the characteristics of achromobacter genome, so as to further explore its utilization potential in bioremediation.
Sedimentation of two unequal spheres in a square tube at low Reynolds numbers
Authors: Guan Geng , Ying Yuxiang , Nie Deming
Published: March 2021

The settling behaviors of two unequal spheres in a square tube at low Reynolds numbers were numerically studied through a three-dimensional lattice Boltzmann method (LBM). Due to the hydrodynamic interaction, a periodic state or a steady state is achieved according to the density ratio between the spheres. In addition, it is seen that the spheres form a staggered stable configuration at the steady state, for which both spheres rotate in the same manner. The effects of the Reynolds number were also examined.
Research Status and Hotspot Analysis of Mine Wasteland Reclamation Based on Bibliometric Method
Authors: Wang Na , Zhang Baoqiang
Published: March 2021

In order to reveal the research status and hot spots in the field of mine wasteland reclamation, this study uses the bibliometric method, uses CNKI database to retrieve the related literatures in the field of mine wasteland reclamation from 2000 to 2020, and makes a systematic analysis from the aspects of literature type, number of papers, keywords, main research institutions, fund projects and subject distribution. The results show that 856 papers were published from 2000 to 2020, and the number of papers increased from 2000 to 2014, reaching the highest in 2014. Colleges and universities play an important role in the research in this field. This paper analyzes the fund projects in this field. Most of them are funded by the state, and the state has given great support and attention to the research in this field.
Response of Enzyme Activity of Cultivated Saline Soil to Sand Covering
Authors: Wang Jian , Yang Chenxi , Guo Zhen
Published: March 2021

In order to clarify the response of soil enzyme activities of cultivated salinealkali soil to sand cover in the Loess Plateau-Mu Us Sandy ecotone. In this study, the soil enzyme activities of the saline-alkali soils before and after sand-covering (CK) and after sand-covering for three consecutive years were taken as the research objects. The results showed that the activities of four soil enzymes (urease, catalase, protease, and alkaline phosphatase) all increased to varying degrees after covering with sand. Among them, the effect of covering with sand on soil urease and alkaline phosphatase was significant. In general, the activities of the four soil enzymes are negatively correlated with soil physical properties (except porosity) and positively correlated with soil chemical properties. This study provides data support for revealing the long-term effects of sand-covering on soil enzyme activities of cultivated saline-alkali soils, and provides a reasonable idea and theoretical reference for the feasibility of using sand-covered soil organic restructuring technology in saline-alkali soil management.
The Status and Analysis of the Coordinated Education Mechanism in the “Party-League-Class Integration” in University
Authors: Gong Changfen
Published: March 2021

The “party-league-class integration” collaborative work mechanism is a coordinated management mode in which students’ party branch, league branch and class committee participate in and coordinate with each other in class management and jointly build excellent class. This paper takes the students of Nanchang Institute of Science and Technology as the research sample, covering freshmen to seniors of different genders and majors. A total of 508 questionnaires were distributed. This paper investigates the construction status of the collaborative education mechanism of “party-league-class integration” in Nanchang Institute of Science and Technology, uses SPSS16.0 statistical software to sort out the data, analyzes the existing problems in colleges and universities, and finds out the main influencing factors. With that in min, this paper puts forward the corresponding optimization measures and implementation path, so as to give play to the differences and unique advantages of the party-league-class. The research results can provide suggestions for the construction of students’ ideological and political education, and achieve the educational effect of “1+1+1>3”.
Study on the Harm of Saline Alkali Land and Its Improvement Technology in China
Authors: Zhang Baoqiang , Wang Na
Published: March 2021

As a common soil type, saline alkali land is widely distributed in China. The soil properties of saline alkali land are relatively special, and the utilization rate is relatively low. In the current situation of scarce soil resources, the improvement of saline alkali land has attracted much attention, and it is particularly urgent to speed up the improvement and utilization of saline alkali land. The improvement methods of saline alkali land are different. This paper analyzes the causes of the formation of saline alkali land, discusses the current situation and harm of saline alkali land, comprehensively expounds the physical improvement methods, chemical improvement methods, biological improvement methods and combination methods of saline alkali land treatment, and further puts forward the development trend of saline alkali land treatment technology in China.
Research on Microbial Remediation Technology Based on Oil Contamination of Oil and Gas Exploration Soil
Authors: Wang Xiaohui
Published: March 2021

The paper used the optimized in situ indigenous microbial flora and combined physical and chemical ecological remediation technology to carry out the field remediation of oil residue contaminated soil. The remediation results show that when the average residual oil content in the soil is 2898.25mg/kg, after the 99d microbial ecological remediation technology is implemented, the oil content in the soil can be degraded by more than 99%, which provides technical methods and methods for the remediation of residual oil pollution in the oil field. Feasibility study for popularization and application.
Shearer Cutting Pattern Recognition Based on Multi-scale Fuzzy Entropy and Support Vector Machine
Authors: Liang Bin , Liu Ze , Niu Yanbo
Published: March 2021

Aiming at the problem of low intelligent level of shearer, a shearer cutting pattern recognition method is proposed based on the combination of multi-scale fuzzy entropy, Laplace score and support vector machine. By extracting the multi-scale fuzzy entropy of the vibration signal under different cutting modes, the feature vector representing the cutting pattern is mastered. At the same time, the Laplace score is used to select the feature vectors with possessing rich cutting pattern information. The selected features are produced as the learning samples of support vector machine. The experimental system of shearer cutting coal-rock is built, and the vibration signals of rocker arm under different cutting patterns are extracted. The experimental analysis is carried out and the results indicate that the cutting pattern recognition method proposed in this paper has high recognition accuracy, and the correct rate can reach to 98.86%. The research results provide technical support for the intelligent and rapid development of fully mechanized mining face.
Research on Short Time Withstand Current Electrodynamic Analysis and Inspection Technology of Mine High Voltage Distribution Device
Authors: Zhu Jianfeng , Zhang Hongku , Zhao Xuliang , Yu Wenhai , Shao Mingjie , Shi Lei
Published: March 2021

In this paper, combined with the situation of coal mine safety production in China, the use environment and mechanical interlocking function of mining high-voltage distribution equipment are introduced in detail, the short-circuit fault hazards and the working principle of short-circuit protection are analyzed, and the technical requirements for short-time withstand current capability test are put forward in combination with industry standards. The short-time withstand current capability test system of mining high-voltage distribution equipment is designed, and the working principle of Roche coil current transformer is studied.
Effects of returning materials on the electrical conductivity of reclaimed soil and crop yield
Authors: Hu Ya , Mao Zhongan , Cheng Jie
Published: March 2021

In order to explore the maturation effects of different returning materials in the soil reclamation of abandoned homesteads, this paper studied the characteristics of the soil conductivity profile distribution after adding fly ash, organic fertilizer and curing agent three kinds of returning materials, and the three consecutive years of crops yield. The results showed after three consecutive seasons, the soil conductivity of the cultivated layer decreased by applying organic fertilizer treatment, and the deep soil conductivity increased, which can reduce the possibility of secondary salinization. Crop yields of different returning materials are different. Compared with the other two returning materials, the application of organic fertilizer can better mature the abandoned homesteads and reclaim the soil, and promote the growth of winter wheat and summer corn.
Modulation Type Recognition Algorithm Based on Modulation Instantaneous Structure Difference and Deep Learning
Authors: Wang Zhongfang , Zhai Liuqun , Fu Jingwen
Published: March 2021

In order to solve the problems of signal modulation recognition in non-cooperative communication, this paper proposes a modulation type recognition algorithm based on instantaneous difference by neural network. Firstly, the method uses the structural difference of modulation parameters in time domain of modulation signal, and displays the difference in the form of image, so as to transform the modulation recognition problem into image recognition problem; secondly, it uses the advantage of convolution neural network to automatically extract features, and it classify different modulation signals; finally, a hierarchical neural network structure is formed to identify the unknown modulation signals.
Sustainable Tourism Development: A Case Study of Savannah, United States
Authors: Shi Xiaoying
Published: March 2021

The purpose of this study focuses on analysing sustainable tourism development in Savannah, Georgia, United States. Based on the notable factors of sustainable tourism mentioned in contemporary literature, three elements - impact, embeddedness, and authenticity were chosen to assess the current issues of Savannah’s tourism. The results of this study will also summarize suggestions and actions toward developing sustainable tourism in Savannah for the future.
Knowledge Maps Analysis of Research on settlement Landscape of Qiang based on the Citespace Method
Authors: Xiong Wei , Tu Mengyuan , Li Xin
Published: March 2021

Based on the relevant papers of Chinese periodicals in CNKI database from 2000 to 2020 and the information visualization software Citespace, this paper makes a visual analysis on the research of Qiang settlement landscape in China. Through the analysis of the knowledge maps’ structure of the authors, publishers and keywords cooccurrence of the Qiang settlement landscape research, the results show increasing annual publications of such research and a lack of breadth and depth in the content. The results also suggest insufficient connection or integration between fields and disciplines. The research results will be presented in five aspects: local landscape, Qiang culture, architectural cultural area, post-disaster reconstruction and public space. According to the review of the research field, this paper puts forward the following prospects. First, expanding the research scale and the combination of qualitative and quantitative research methods. Second, shifting the research focus to the human-land relationship and diversifying the research field of micro-analysis of spatial morphology by including intelligent management and development and utilization of settlements. Such efforts can provide further theoretical support for the protection, development and practice carried out in the Qiang settlement landscape of China, contributing to achieving the goal of rural revitalization and the implementation of the Beautiful China strategy.
Research on Short Video Communication Strategy of Local Culture Based on Rural Revitalization Strategy——Taking shadow play culture in Huanxian County of Gansu Province as an example
Authors: Wen Jinpeng
Published: March 2021

In this paper, based on the 5W theory of American scholar, Harold Dwight L asswellr, the research model of short video transmission of shadow play culture in Hua nxian County, Gansu Province is constructed. Through empirical research methods, thi s paper aims at the influence of 5W theory: Who, What, Which, Who, With What Effect. It is found that star communication has a significant positive impact on the transmis sion of shadow play culture, local villagers have a significant negative impact on the tr ansmission of shadow play culture, and professional teams have a significant positive i mpact on the transmission of shadow play culture. Text communication, picture comm unication, live video communication and cartoon communication all have a significant positive impact on the communication power of shadow play culture.
Study on land change based on principal component analysis
Authors: Shen Jing , Piao Dongfan
Published: March 2021

The Loess Plateau is the area with the most serious soil erosion and the most fragile ecological environment in China and even in the world. The deterioration of ecological environment may be closely related to unreasonable land use. In order to study the characteristics and driving factors of land use in small watershed of Loess Plateau, based on the land use data, DEM data and social data of Wuding River Basin in 1980, 1990, 2000, 2010 and 2018, this paper uses ArcGIS platform, land transfer matrix and land use dynamic degree to analyze them, and uses principal component analysis to discuss land use driving forces.
Analysis on the Coordination Mechanism of the First Class and the Second Class in Higher Vocational Colleges)
Authors: Wang Yuting
Published: March 2021

The traditional classroom teaching mode cannot stimulate students’ interest and initiative in learning. Introduce the second classroom to complement and extend the first classroom. It will improve the comprehensive quality of students. This article analyzes how to achieve synergy between these in order to improve the contribution of the second classroom in talent training.
Technology of Acid Soil Improvement with Biochar: A Review
Authors: Si Hongyu , Liang Xiaohui , Lu Jikai , Xiang Weiran , Li Yan , Wang Bing , Wang Haichao , Tang Chunhong , He Likun , Xin Hanxiao
Published: March 2021

This paper comprehensively analyzed and summarized the main research progress of biochar in improving acid soil technology at home and abroad. In this paper, the distribution, cause of formation and harm of acid soil were introduced, the differences between biochar improver and traditional improver were compared, the structure and functional basis of biochar were expounded, and the improvement of physical and chemical properties of acid soil was analyzed. Finally, combining with the current situation of China’s agricultural development, the paper puts forward the prospect of the problems that need to be paid attention to in the process of biochar research, in order to provide reference for the application and industrial development of biochar.
Research and empirical Analysis of Traffic flow Modeling based on fluid Mechanics
Authors: Tang Jie
Published: March 2021

In this paper, the overtaking lane change flow is introduced, and the corresponding traffic flow continuity equation is established. Through the differential analysis of traffic flow parameters, the motion differential equation of road traffic flow is established. Compared with fluid mechanics, according to Newton’s second law, the simple calculation of traffic pressure, viscous resistance coefficient and viscous resistance is put forward, and the interference from downstream traffic wave is defined as the viscosity of traffic flow, and the difference between wave velocity and maximum wave speed is the coefficient of viscous resistance along the way. the viscous resistance along the route is proportional to the length of the lane, the rate of change of flow along the direction of traffic flow and the coefficient of viscous resistance along the route. The model can obtain the relationship between traffic flow parameters. The simulation example shows that the model can reflect the basic characteristics of traffic flow.
Influence of free surface and bottom on flow around a cylinder
Authors: Chen Siqin , Lim Frank
Published: March 2021

Doing research on vortex-induced vibration (VIV), not only should we do some numerical simulation but also need to experiment. The existence of the free surface and bottom will influence the drag. We analyzed the drag under different velocity of water under different flow fields, then compared the results. The results show that the water depth will influence vortex shedding thus increase the drag. With a decrease of velocity, the effect of drag will be reduced. Nevertheless, it’s not always decreasing, when velocity lower than 0.8m/s, the effect would be steady.
Design of Control Unit of Mechanical Property Test System of Tai Lake Shield
Authors: Weng Yunxian , Zhao Yaping , Ni Xuewen
Published: March 2021

This paper focuses on the design and implementation of the detection device. This paper discusses that the control unit realizes the stepping drive by the interrupt method, realizes the force acquisition and the Modbus RTU communication by the polling method, designs the main program, the force acquisition subroutine flow, the stepping driver subroutine flow, and the Modbus slave subroutine flow, and realizes it through the Arduino IDE programming. Design the host computer interface, database association and command language programming; At last, the application effect of the test system is verified by the tensile test of water shield stem of taihu lake.
Ultrasonic Mixing Technology for Warm Mix Asphalt
Authors: Han Yurun , Yu Xuan , Fan Shunji , Liu Zichuan
Published: March 2021

At present the hot mix asphalt in the construction of pavement not only to consume a lot of energy, but also in the construction process will release a lot of harmful gases and dust, resulting in environmental pollution in order to improve the performance of asphalt materials, in order to promote energy conservation and emission reduction, the device in the warm mix asphalt technology, based on the use of ultrasonic cavitation technology and electric heating to disperse, heating asphalt, in order to obtain more excellent performance of pavement laying materials, while saving costs and reducing harmful emissions.
Research on the Foreign Trade Efficiency and Influencing Factors of the Yangtze River Delta under High-quality Development
Authors: Xie Yuhan , Zhang Ziyi
Published: March 2021

It has become the consensus of my country’s foreign trade development to promote the high-quality development of trade and accelerate the building of a strong trade country. The Yangtze River Delta is an important intersection of the “Belt and Road” and the Yangtze River Economic Belt. With its superior location environment, the Yangtze River Delta has become a leading force driving the overall high-quality development of China’s economy and trade. This paper discusses the status quo of foreign trade in the Yangtze River Delta from the perspective of high-quality development, constructs a foreign trade efficiency evaluation system based on the DEA model, measures the efficiency of foreign trade in the Yangtze River Delta, uses the Tobit model to analyze its foreign trade efficiency factors, and finally proposes strategies for improving foreign trade efficiency And the high-quality development path of regional trade, providing reference for decision-making for my country to coordinate the high-quality development of trade in the Yangtze River Delta and even across the country.
Research report on domestic and foreign insurance products
Authors: Qin Chenyi , Xu Fangqian , Chen Yuqing , Tian Mingke , Liu Zhiming
Published: March 2021

From the beginning, human society has an insurance awareness to deal with disasters and an insurance concept to accumulate wealth. In the spring and Autumn Period, Confucius’ thought of “spelling more than one” is quite representative. As an important element in the insurance industry, life insurance can effectively help people transfer risks, accumulate wealth, and plan life finances. The development of the life insurance industry and the improvement of its competitiveness are of great value to my country’s insurance industry. With the rapid growth of the Chinese economy since the reform and opening up, the life insurance industry has also maintained a rapid development trend. However, compared with overseas markets, my country’s life insurance industry still faces many constraints and development problems.
Research on sports Consumption level of urban residents in Lanzhou city based on data analysis
Authors: Li Fawei
Published: March 2021

Taking urban residents of Lanzhou city as the research object, this paper analyzes the level and structure of urban residents’ sports consumption.Some suggestions are put forward, such as increasing residents’ economic income, speeding up urban infrastructure construction and guiding residents’ sports consumption concept correctly.Hope to improve the level of sports consumption in Lanzhou city.
Family Endowment, Personal Characteristics, and Farmer’s Livelihood Differentiation — Based on an empirical study of 199 rural households in Sichuan Province
Authors: Jia Xinxin , Jiang Yuansheng
Published: March 2021

The differentiation of rural households’ livelihoods has become the most significant feature of rural social and economic development in the context of urbanization. Based on the survey data of 199 rural households in Sichuan Province in 2018, this article summarizes the types and characteristics of local rural households’ livelihood differentiation and uses the logit model. Family endowments and personal characteristics analyze the factors and degrees that affect the differentiation of farmers’ livelihoods. The results show that: (1) The number of part-time farmers in each survey location in Sichuan accounted for 66.66% of the total surveyed households, and parttime employment is very common. (2) In terms of family endowments, the greater the number of rural households’ labor, the more they tend to shift to the non-agricultural sector, and the higher the degree of migrant workers and the part-time employment of rural households, which promotes the differentiation of rural households’ livelihoods; The number of middle-aged and young people has a significant negative impact on farming households’ choices for farming, and it has a significant positive impact on migrant workers and self-employment; the number of minors and the elderly in the household has no significant impact on farming households’ choice of farming and migrant work; the number of households’ farmland has a significant impact on farming households Farming and part-time employment have a significant positive impact. The number of relatives and the availability of cars only have a significant impact on migrant workers. (3) In terms of personal characteristics, male, well-educated, well-healthy, and young and middle-aged laborers are more likely to go out, self-employed, and part-time. This leads to the fact that the rural surplus labor force is mostly feminized, aging, and low. The degree is based on academic qualifications.
Research on Reservoir Numerical Simulation with Consideration of Time-dependent Physical Properties
Authors: Zhao Pingqi , Ni Tianlu , He Shumei , Huang Fang , Liang Xiao , Zhang Zhipeng , Wei Pengpeng , Yu Gaoming
Published: March 2021

Fine reservoir description is an important prerequisite to ensure the scientific and efficient development of oilfields. Reservoir numerical simulation is an important tool for efficient development. The accuracy of reservoir description determines the reliability of numerical simulation results. After long-term water injection development, the physical properties of the reservoir have undergone great changes. How to identify the time-dependent law of reservoir physical properties and finely characterize them during numerical simulation has been the focus and research difficulty in this field in recent years. This paper combines the results of previous studies on the changes of reservoir physical properties in the later stage of water drive development in Area A with numerical simulation methods. Predecessors realized time-dependent numerical simulation methods include staged numerical simulation and self-developed numerical simulation programs. Although the above two types of methods can achieve the purpose of realizing time-dependent numerical simulation, they all have certain defects. The segmented simulation method requires multiple modeling, heavy workload, multiple manual operations, and poor continuity and non-directional calculation results. Although the self-developed numerical simulation program calculation results can have better continuity and directionality, but this requires a lot of manpower and material resources to carry out the research. The research and development cost is high, the cycle is long, and the simulation accuracy and speed are difficult to reach the level of commercial numerical simulation software in the short term. Based on the above analysis, this paper has developed a simulation program TD-SIM (Time Dependent Simulation) that combines the commercial numerical simulation software ECLIPSE and can realize the time-dependent function of the reservoir permeability field. This program has convenient use and low cost. At the same time, it is necessary to take into account faster simulation speed, higher simulation accuracy, and better continuity and directionality of the simulation results.
Research on Methods of Improving Historical Fitting Accuracy in Transitional Zone Area
Authors: Li Jiahui
Published: March 2021

The transitional zone of X Oilfield has a large development area, many oil and water wells, and the historical fitting accuracy is relatively low. The historical fitting accuracy of single wells in the whole area is only 62%. With the needs of oilfield development, it is inevitable to improve the historical fitting accuracy in the transitional zone. Therefore, this paper studies the method of improving the historical fitting accuracy in the 350m transitional zone of X Oilfield, and the historical fitting accuracy has increased by 13 percentage points.
A Research on the Applicable Modes of LID-based Slope Residence Planning
Authors: Zhang Mingrui , Tan Wenyong , Zhong Jia
Published: March 2021

LID provides a new way of thinking to solve urban waterlogging and runoff pollution, and has attracted many scholars to try to integrate the LID concept into the planning and design of residences. After comprehensive analysis of LID’s application into residence planning, it is found that the existing results are not suitable for slope residences, resulting in problems such as difficulty for rainwater to gather into the center of the block, grid-type road patterns not conforming to the characteristics of mountain cities, and some LID facilities layout unsuitable for slope residences.Therefore, combining the characteristics of mountainous areas, this article designs the “hexagonal” road network on behalf of the general road structure of slope residences. Furtehr, we find LID facilities suitable for slope residences and propose the rainwater runoff organization scheme in slope residences corresponding to the LID facilities. Finally, we explore the implementation of LID applicable modes in slope residences via the four continuous levels of architecture, site, road and greenbelt. It is hoped that the current research can supply some ideas to slope residence planning oriented to rain and flood management.
Research on Optimal Operation of Reservoirs in Shule River Irrigation District Based on Dynamic Programming with Successive Approximation Method
Authors: Ma Leping , Luo Qiang , Wu Yuhui , Zhao Chengping
Published: March 2021

Reservoir operation is an important means to realize optimal allocation of water resources. In order to reasonably distribute water resources in Shule River irrigation area and improve the utilization rate of water resources, according to the actual situation of Shule River irrigation area, taking the minimum annual water shortage and the highest irrigation guarantee rate of the whole irrigation area as the objective function, the deterministic long-term optimal operation model of reservoir group in the irrigation area is established, and the successive approximation dynamic programming ( DPSA ) is used to solve the problem, so as to realize the joint operation of Changma Reservoir, Shuangta Reservoir and Chijinxia Reservoir, and provide the basis and reference for the comprehensive management and scientific allocation of water resources in Shule River basin.
Short-Term Subway Passenger Flow Prediction Based on GCN-BiLSTM
Authors: Ma Donglin , Guo Yating , Ma Sizhou
Published: March 2021

Aiming at the problem that the accuracy of passenger flow prediction is not high, this paper presents a short-term passenger flow forecasting model based on Graph Convolutional Neural Network (GCN) and Bidirectional Long-term Memory Network (BiLSTM). Firstly, the historical traffic time series is divided into three time modes: recent period, daily period and weekly period; Secondly, we construct three models based on GCN and BiLSTM to capture the spatial and temporal dependence of the three patterns; Finally, the parameter matrix is used to fuse the output of the three time modes to obtain the final prediction result. By testing the data set of subway passenger flow in a city in January 2019, the experimental results show that the root mean square error of the model is reduced by 8.515% and the average absolute error is reduced by 4.239% compared with the single BiLSTM model, it has a high fitting degree with the real passenger flow value and has certain application value for the reasonable allocation of subway capacity.
Gis-based Urban Density on the Impact of Travel Demand Analysis
Authors: Xu Yuping , Chen Tao
Published: March 2021

Urban density is one of the important factors to measure the occurrence of traffic in a region. It can not only reflect the intensity of traffic demand well, but also provide a way to quantitatively analyze the influencing factors of urban traffic demand. Take Nanchang and Jiujiang, cities with different geomorphic features, for example. The spatial analysis technique of GIS is used to calculate the urban density that can reflect the density difference. According to the characteristics of urban traffic demand, urban density is divided into single density and compound density. Through spatial statistical analysis, the impacts of various urban densities on traffic occurrence, travel distance, travel time and travel mode are analyzed. The research shows that different urban density corresponds to different traffic demand characteristics; In a certain threshold range, there is an obvious monotonic relationship between urban density and traffic demand.
Design of Intelligent Detection System for Diesel Engine Main Oil Duct Hole Based on S7-300 Control
Authors: Wang Yanfeng , Xu Guangzhen , Zhou Quan , Chen Juan
Published: March 2021

The main oil channel of diesel engine cylinder block is the channel of lubricating oil, Whether they are smooth directly affects the working performance of diesel engine. This paper designs an intelligent detection system with programmable controller S7-300 as the control core, which mainly uses programmable control technology, photoelectric sensor technology and touch screen technology to complete the detection of cylinder main oil channel hole. The detection time is controlled within 38 s. This paper introduces the system composition and circuit working principle of detection system, and expounds the design scheme of PLC control system with S7-300 as the core. The design improves the detection speed, eliminates the missed inspection and false inspection, and provides the basic guarantee for the diesel engine to serve industry and agriculture efficiently.
Economic Loss of Optimal Configuration of Smart Energy System under Attack
Authors: Wang Peiyao , Yang Qicong , Xu Aidong , Guo Juan , Jiang Yixin , Wu Sihui , Zhang Peng , Fei Lingzhi , Zhang Yunan , Zhao Runhui , Zhang Tengyue
Published: March 2021

The data attack in smart grid may cause the control center to make a wrong judgment, and then interfere with the normal operation of the power grid. In the case of data attack, this paper studies the optimal allocation model of distributed energy in smart energy system. Taking the maximum net profit of microgrid system as the objective function, the constraint conditions are established by using battery charging and discharging and power exchange of large power grid to optimize the allocation of distributed energy in the system. According to the characteristics of its power load, the corresponding dispatching strategy is formulated, and the genetic algorithm is introduced to find the optimal solution of the model. The power supply composition and economic loss before and after the optimization and attack are obtained, which proves the importance of attack detection.
A Study on the Application of Blended Teaching to English Reading Course under the Background of Artificial Intelligence
Authors: Zhao Xiaoying , Yang Yanjun
Published: March 2021

The development of artificial intelligence technology brings a lot of benefits to various fields, including education. This paper discusses how artificial intelligence leads to the opportunity to improve learning processes and develop innovative approaches to education like blended teaching. Based on that, the author tries to provide tentative suggestions on the application of blended teaching to English reading courses with the help of artificial intelligence technology, in the hope of improving teaching and learning quality of this course, benefiting both teachers and students.
A Big Data Analysis of Job Position Status Based on Natural Language Processing
Authors: Liu Qi
Published: March 2021

With the development of the Internet and computer technology, news on the Internet has gradually been able to influence the development of the economy. In some special periods, with the development of major events, the economy and finance have undergone similar development and changes. This paper proposes a simplified natural language processing method for multi-grained text. First, the news text data is classified according to sentiment, and the correlation between corporate loans and job retention ability is further analysed. The experimental results show that under certain conditions, the Loans issued to SMEs are more conducive to retaining the number of jobs than large enterprises.
Study on Blended Teaching in Principles of Chemical Engineering Based on Cloud Platform
Authors: Ye Lijuan , Zhong Jiaming
Published: March 2021

Aiming at the questions existing in the teaching of “Principles of Chemical Engineering”, in order to cultivate students’ engineering application abilities, new technologies are integrated into the “three-transfer” theory (momentum transfer, heat transfer, and mass transfer), experimental projects are renovated, and virtual simulation experiments are added. Then, a new teaching system for chemical principles and experimental teaching on the basis of “one platform and three clients” (one cloud platform, mobile client, teacher client, and administration client) is constructed. It is a student-oriented blended teaching system driven by problems; develop abundant teaching resources, further consummate multimedia courseware, computer-aided teaching, and develop a three-dimensional teaching system with textbooks, multimedia courseware, chemical simulation software, and online classroom. To realize a student-oriented interactive process for learning and teaching with the guidance of teachers, and give full play to students’ initiative, activity, and creativity during their learning process; focus on strengthening the assessment for the experimental courses of chemical principles, strengthen classroom discussion and creative practical work, and improve students’ engineering application ability, as well as abilities of analyzing problems, solving problems, and raising problems by applying comprehensive knowledge.
Is the Optimization of Human Capital Structure Improving the Quality of China’s Economic Growth?
Authors: Zhang Hongxia , Wang Tianhui , Wang Yue , Zhang Yuge
Published: March 2021

Using the 1996-2016 Chinese provincial panel data to measure and analyze the human capital structure and total factor productivity, and empirically examines the impact of human capital structure on high-quality economic growth. The results show that the human capital of higher education promotes the high-quality growth of the economy more significantly, while the human capital of secondary education plays a significant inhibiting role. The heterogeneity study from three regions further shows that the impact of different levels of human capital on the high-quality economic growth of different regions is different. The higher education human capital has a greater role in promoting the high-quality economic growth of the three regions. Basic and secondary education human capital only affects the eastern region.
Research and Detection of Fast-flux Botnet
Authors: Yang Lu , Gan Gang
Published: March 2021

With the development of Internet technology, there are more and more network attack modes. APT attacks, as one of them, will have a very serious impact due to its concealment, long-term nature, and purpose. Fast-flux botnets are widely used in APT attacks due to their spreading power and destructive power. This article first introduces the basic structure and related knowledge of FFSNs, and then summarizes and compares the previous papers on Fast-flux botnet research. In order to effectively detect the Fast-flux botnet, this experiment removed features that require a lot of resources and uncertain factors, and adopted a more convenient feature AA, which became a more lightweight detection model. At the same time, because the automatic update module of the detection system will promptly feedback the current traffic situation in the network, it will greatly improve the accuracy. The experimental results of the CTU-13 and ISOT public data sets show that the detection method proposed in this article Compared with other methods, the accuracy rate is increased to 98%.
Spatial-Temporal Evolution and Correlation Effect of FDI from China, Japan and South Korea to ASEAN
Authors: Liu Shuguang , Feng Xiaoshu
Published: March 2021

The economy of East Asia is related to the overall development of Asia and even the whole world. Use ArcGIS to analyze the spatial-temporal evolution and the time series from 2004 to 2018 to construct the correlation effect model of FDI from China, Japan and South Korea to ASEAN to analyze the correlation effect of cumulative impulse response and variance decomposition. The results show that FDI from China, Japan and the South Korea in ASEAN increased significantly, and the investment location choice of the three countries in the ASEAN was relatively stable and had similarities and differences. The FDI from China and Japan to ASEAN mainly focuses on cooperation and synergy for a long time, while there is competition between Japan and South Korea, and the FDI from Japan to ASEAN has a deep influence on China and South Korea. The FDI from China, Japan and South Korea to ASEAN is not a zero-sum game. It is also known as the investment cooperation mode that multiple parties make investment in the same region over time, in different industries in the same period and in different locations.
Research on the Application of YOLOv4 in Power Inspection
Authors: Sun Xingda , Hao He , Liu Yuan , Zhao Yuanyuan , Wang Yimeng , Du Ye
Published: March 2021

In order to meet the business needs of power inspection. The requirement is to identify the target quickly and in batches. In this paper, yolov4 convolution neural network is used as the technical to realize the target detection process of power inspection photos. Firstly, the training data set of power patrol inspection is accurately labeled by labelimg. Then it is trained by the deep learning framework of Darknet. And the results are satisfactory. The test results show that tthe Precision is 0.92 and the Recall is 0.904 after training by the self-designed training data set of electric power inspection target detection.This detection effect can meet part of the requirements of target detection in power inspection. However, there are two problems in this test: the lack of data annotation set in power inspection and the serious overlap of different objects in some photos of the data set. The author of this paper hopes the relevant researchers to correct and supplement.
A CFD Based Numerical Study of High-speed Refueling
Authors: Yang Ye , Liu Nan , Shao Weiguang , He Qiyang , Yin Haojie
Published: March 2021

Liquid holdup is an important indicator to evaluate fuel efficiency during high-speed refueling. This paper carried out a numerical study on the fluid flow as refueling a fuel tank based on the volume-of-fluid method in the commercial software FLUENT, and the effects of inlet velocity, injection angle, nozzle diameter, and the shape of the tank on impact phenome-non were examined and the corresponding relationships between these factors and the liquid holdup were found by a series of single-variable numerical experiments. The results indicate that: a smaller impact angle (30°-60°), lower inlet velocity (2.5-10 m/s), and larger nozzle diameter (36-40 mm) could result in a higher liquid holdup, and a tank with a square cross-section presents higher and more stable liquid holdup than that of a racetrack-like one. Besides, the effect due to the tank shape is greater than those of the inlet velocity, injection angle, and then the nozzle diameter. This work could be helpful for the design and control of a high-speed refueling equipment.
Human Activity Recognition Based on Residual Network
Authors: Zhang Jingxuan , Qiao Shaojie , Lin Zhiyu , Zhou Yang
Published: March 2021

With the development of information technology and the blooming of artificial intelligence, human activity recognition (HAR) has become a hot research topic. HAR has a certain prospect and practical value for mobile medicine and security monitoring, which has attracted the attention of many researchers. However, most of the existing HAR methods rely on the shallow feature learning mechanism, and the features learned by these methods are not completely consistent with the actual activities. To solve this problem, a human motion recognition method based on residual network (ResNet) is proposed. In addition, we modified the internal structure of ResNet by limiting the number of its network layers within a certain range to prevent over fitting and degradation. Our proposed method has better recognition performance than methods using pure convolutional neural networks(CNN), and it achieves 95.66% recognition accuracy.
Performance Evaluation of Cubature Kalman Filtering and Extended Kalman Filtering Based Phase Unwrapping For Insar
Authors: Liu WanLi , Zhang Qiuzhao , Zhao YueYing
Published: March 2021

Phase unwrapping is one of the most critical steps in InSAR data processing. Filter-based phase unwrapping methods can perform phase unwrapping and noise removal simultaneously, and show a clear advantage in dealing with high noise and density fringe interferograms. Based on the precision estimation theory of nonlinear functions in Extended Kalman Filter (EKF) and Cubature Kalman Filter (CKF) algorithms, we derive and analyze in detail the estimated precision of the EKF and the CKF on nonlinear observation equations in the phase unwrapping model. Results show that both EKF and CKF algorithms have similar precision in areas with better phase quality. However, in poorer quality areas, the precision of the two shows a certain difference and there is no consistent superiority for each algorithm. Experiments using simulated and measurement data confirm the validity of our theoretical analysis.
Evaluation and Analysis of GPS Operators Based on Multi-Layer Hierarchical Analysis
Authors: Wen Yanjie , Xu Wangtu
Published: March 2021

As a complex process, road transportation is restricted by many factors. In order to carry out safety management of road transportation, this paper puts forward an evaluation index system with multiple risk factors for the service providers of satellite positioning system (GPS) for tourist buses, long-distance passenger vehicles and dangerous goods vehicles. Through the construction of multi-level analytic hierarchy process (AHP) for the comprehensive evaluation of safety production and related management of satellite positioning operators, the weight evaluation model is obtained; and the evaluation results are compared with the neural network model by using linear regression model. The experimental results show that: in terms of evaluation, the average absolute error of neural network model is 0.137, and the hierarchical model is 0.232, the former is slightly better than the latter; in terms of stability, the hierarchical model performs best. Comprehensive comparison shows that hierarchical model has better performance in evaluation accuracy and stability. The method proposed in this paper provides technical support for the evaluation of satellite positioning operators.
The Application of Corpora on the Lexical Approach
Authors: Yuan Fei , Zhang Shichunzi
Published: March 2021

The linguistic scholars has used word frequency for research for a long time. With the rising of corpora study, researchers pay a lot attention to words and their frequency information, and even develop the teaching approach and teaching book. The Lexical Syllabus, The Lexical Approach and Data-Driven Leaning introduced by this paper are the representative of the development of corpora. From the background of this research, this paper gives the definition of some relative concepts, and discusses the arrangement of lexical syllabus and teaching content, and uses examples to explain the practice of The Lexical Approach.