Electronics Science Technology and Application (E-Journal)
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The development and utilization of postgraduate oral English resource base under the background of big data
The acceleration of international economic integration promotes the collision of knowledge and culture in different
countries. In this information age of knowledge explosion, the society has gradually improved the English ability of graduate students. They
not only stay in English listening, translating, reading and writing ability, but also strengthen their language expression and communication
ability, and quickly adapt to the current international pluralistic language situation. The cultural confl ict between the East and the West
and the mutual integration and utilization of languages have become the current international development needs, and meet the inevitable
requirements of the development of The Times. Based on this, this paper analyzes and studies the diff erentiation, advantages, development
and utilization of postgraduate oral English resource library language and textbook language under the background of big data environment,
so as to help students strengthen their language and culture ability and promote their natural and fl uent English communication
Application analysis of big data technology in 5G communication network
With the rapid development of 5G communication networks, big data technology, as a powerful information processing tool,
has become an important means to optimize network performance and improve user experience. In this paper, the application of big data
technology in 5G communication network is deeply analyzed, and its application in network management, resource optimization, security
and so on is discussed. Through the analysis of relevant cases, this paper aims to reveal t he potential value and challenges of big data
technology in 5G communication networks, and put forward corresponding solutions and suggestions, in order to provide certain reference
and reference value for the research and practice in related fi elds
Research on teaching reform path of Computer Network security course in big data era
With the deepening of education reform, college computer network security teaching should be further optimized,
teachers should actively introduce new education concepts, teaching methods, in order to better arouse students’ interest, strengthen their
understanding of computer network security knowledge and application level, improve teaching eff ect. Big data technology, as a popular
teaching assistant means, plays an important role in enriching the content of computer network security teaching in colleges and universities
and broadening the path of education. In view of this, this paper will analyze the teaching reform of computer network security course in the
era of big data, and put forward some strategies for your colleagues’ reference
The path and eff ect of training and improving practical ability of applied undergraduate data science and big Data teachers
At present, application-oriented undergraduate data science and big data major generally faces the problem of shortage of teachers,
lack of practical teaching ability of teachers, lack of practical application ability of graduates, can not meet the needs of employers, and need to
go through enterprise training before taking jobs. On the one hand, applied undergraduate can not copy a college training program and teaching
mode, should be based on the training objectives of applied undergraduate and market employment demand timely revision of personnel training
program, curriculum system and teaching mode. On the other hand, local application-oriented undergraduate big data major teachers are weak, lack
of big data technology training environment and slightly lag behind, improve the teaching level of big data teachers, especially the practical ability
of teachers is imminent. This paper fi rst analyzes the teaching status and problems of big data major practical courses in our school, and classifi es
the practical courses of big data major according to the training direction according to the practical curriculum system. Secondly, it puts forward
the ways and methods to improve the practical ability of big data major teachers in our school, and shows the eff ectiveness of school-enterprise
cooperation in cultivating the practical ability of big data major teachers in our school
Empirical study on the legal protection of hydrogen technology industry in Gansu Province
Energy is the foundation of national economic development and social stability, which is related to national security
and even global climate security. Along with the proposal of the double carbon goal, our country in response to climate change global
governance has deeply promoted the new revolution of the energy industry, has carried out a large number of new energy basic development
and project construction in Gansu province, as the renewable energy with great potential, hydrogen energy has been much attention. From
the perspective of comparative law, this paper explores three dimensions of the development of hydrogen energy science and technology
industry in Gansu, namely, the different safety standards, the lack of legal regulation means and the imperfect legal guarantee system,
and then puts forward some perfect suggestions on the construction of regional legal policy system, the establishment of safety standard
guidelines and the expansion of the scope of energy legal personnel training
Screening and Evaluation of Operational Effectiveness Indicators for Air Defense Missiles Based on Improved PCA
With the significant role played by air defense missile weapon systems in various local wars and armed conflicts, the significance
of operational effectiveness evaluation has become increasingly important. This article determines the operational efficiency index system
model of the air defense missile weapon system by constructing the operational environment of the air defense missile weapon system. The
improved principal component analysis(PCA) method and MATLAB programming are applied to reduce the dimensionality and decorrelation of the operational performance indicators of the air defense missile weapon system’s operational environment, and the optimized indi_x005fcator system model of the operational efficiency indicators of the air defense missile weapon system is output. At the same time, the weight
value is also closer to the actual combat situation, to achieve an accurate and express evaluation of combat effectiveness. By analyzing a case
of evaluating the operational effectiveness of a certain type of air defense missile weapon system, key indicators were selected, and the effectiveness of the model in screening the operational effectiveness evaluation indicators of air defense missile weapon systems was verified. This
provides a basis or reference for the subsequent optimization of air defense missile weapon system schemes and the evaluation of operational
effectiveness and has certain promoting significance
Research on a highway truck anti-defl ection load system
In order to improve the safety of road trucks, an anti-bias load system for road trucks is proposed. The system integrates
real-time monitoring and safety alarm functions, and is composed of sensor components and on-board control units. The system is installed
on the truck axle, through the single-chip computer calculation and monitoring technology, real-time monitoring of the truck load, especially
the detection of the off -load state. Once the off -load situation occurs, the device immediately issues a safety alarm to remind the driver to
take necessary measures to reduce the risk of truck rollover and other accidents and improve road traffi c safety. The research results are
expected to enhance the stability and safety of trucks and promote road traffi c technology innovation
The Practice of Artificial Intelligence Technology in Mechanical Design and Manufacturing and its Automation
With the rapid development of science and technology, artificial intelligence technology has made remarkable achievements in all
walks of life. In the field of mechanical design and manufacturing, artificial intelligence not only brings disruptive changes to the traditional
manufacturing methods, but also provides new possibilities for automated production. This paper will deeply explore the practice of artificial
intelligence technology in mechanical design, manufacturing and its automation, in order to provide a useful reference for the future development of the industry
Control optimization model for greenhouse microclimate
In this paper, greenhouse microclimate change is studied and discussed in the context of greenhouse. Based on the hydrodynamic
model and mathematical model, a climate-like control model with adjustable parameters is established. The greenhouse environment under
different conditions was simulated by adjusting the numerical parameters. In this paper, a glass greenhouse with a length of 10 meters, a
width of 3 meters and a height of 2 meters is simulated. Due to the need to consider greenhouse crops, this paper uses the finite difference
method to establish a mathematical model of “no crops” in the greenhouse, and the distribution of temperature and wind speed in the greenhouse can be observed through the cross-sectional data. Based on this, crops are added in this paper and the factors of crop canopy are taken
into account. Taking the crop canopy as a porous medium model, the temperature field and velocity field are updated based on Dracy’s law,
and the temperature and humidity distribution model is established by simulation. The relevant parameters were adjusted to make the whole
greenhouse reach a more suitable environment for the healthy growth of plants. Combined with the location, size and number of greenhouse
fans for discussion and analysis, the team adjusted the number of fans and the position of the two fans to make the temperature and wind
speed distribution in a relatively appropriate situation, meet the “U” shape, which has certain rationality and scientific. By analyzing the
greenhouse environment and how to use mathematical models to solve the related problems of fluid dynamics and heat conduction, and using
simulation to simulate, a series of theoretical and simulation results are analyzed, and the relevant optimization scheme is designed. Based on
this model, the model can be verified by experimental data and can be extended to more complex physical models
Bibliometric and visual analysis on research of freeze-thaw of rock slopes based on CNKI Data
In order to explore the research status of rock slope freeze-thaw problems, 228 domestic and foreign rock slope freeze_x005fthaw papers were retrieved as the samples based on the CNKI database. CiteSpace was used to conduct bibliometric and knowledge map
analysis on the number of paper publications, authors, and keywords. The results show that the annual publication volume in this fi eld are
generally increasing, indicating a large development space in future. There are many research teams and institutions in this fi eld, but there is
less collaboration between diff erent teams. According to the timeline map, revealing that earlier literature focused mainly on understanding
and prevention of rock slope freeze-thaw problems. New technologies from other fi elds have been gradually applied for innovation in recent
years. The future research trend will involve micro-damage, multi-fi eld coupling, dynamic responses, monitoring and warning of rock slope
freeze-thaw problems