Electronics Science Technology and Application (E-Journal)
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Research on the problems and development of software quality in the new era
With the rapid development of information and intelligence, the number of software information projects continues to
increase, people’s dependence on information is getting higher and higher, the information system requirements are more and more rich, it is
inevitable to the software quality requirements more stringent. For such as software defects, vulnerabilities, performance, security and so on.
In view of these software quality problems, we conduct in-depth analysis and understanding of them, so as to improve the level of software
quality and promote the high-quality development of software information. This paper fi rst analyzes the defi ciency of software quality under
the background of the new era, and then discusses the future development direction in this fi eld, in order to deepen the research on software
quality
Application of Machine Learning in Printing Circuit Board of Electric Vehicle: Enhancing Manufacturing Processes and Product Quality
The electric vehicle industry are growing rapidly due to the increasing demand for sustainable transportation solutions. However,
the production of electric vehicles involves complex manufacturing processes that require high precision and accuracy to ensure the quality
of the final product. One of the critical components of electric vehicles is their printed circuit boards (PCB), which play a crucial role in controlling and regulating the vehicle’s electronic systems. The application of machine learning in electric vehicle printing can enhance the manufacturing processes and product quality by providing real-time monitoring, prediction, and optimization capabilities. And this study concentrates on two main problems: firstly inadequate load capacity, that circuit boards can’t load high current and voltage and secondly reliability
issues caused by harsh working environments, such as large temperature fluctuations, high humidity, strong vibrations, and excessive dust,
which can easily lead to circuit board failure.One of the biggest innovation of this paper is using machine learning to analyze the relationship
between some factors and circuit board lifespan
Research and practice of ideological and political teaching in college physics course
Curriculum ideological and political education advocates integrating ideological and political education into a ll kinds
of curriculum teaching, making ideological and political education go hand in hand with all kinds of curriculum teaching, building a
collaborative education model, so as to improve students’ moral sentiment. College physics teachers should actively promote the ideological
and political construction of curriculum, excavate the ideological and political elements contained in textbooks, carry forward the advanced
deeds of Chinese physicists, and cultivate students’ patriotic feelings; Integrate the craftsman spirit into the physics experiment teaching,
and cultivate students’ craftsman spirit of excellence, preciseness and earnestness, and innovation; Carefully design ideological and political
teaching cases, enrich teaching resource base, and cultivate students’ scientifi c spirit of seeking truth from facts and perseverance; Use the
mixed teaching platform to infi ltrate ideological and political education, promote the connection between teaching inside and outside class,
cultivate students’ good study habits, and further improve the quality of college physics teaching
Research on automatic monitoring and recognition method of crop growth status based on machine vision.
Research on automatic monitoring and recognition methods for crop growth status based on machine vision is an important
direction in the development of modern agriculture. By conducting real-time monitoring and recognition of the growth status of crops, it is
possible to detect problems in crop growth in a timely manner and improve crop yield and quality. This method utilizes image processing
and computer vision technology, extracts useful feature representations from images using deep learning methods, and classifi es the growth
status of crops based on these features. This method is of great signifi cance, as it can not only improve agricultural production effi ciency and
reduce production costs, but also improve the quality of agricultural products and bring more economic and social benefi ts to agricultural
production. At the same time, this method also provides technical support for precision agriculture, achieving precise management and
regulation of the farmland environment through monitoring and recognition of crop growth status, and improving the output effi ciency
of farmland. In the future, with the continuous advancement of technology and the continuous expansion of application scenarios, the
application prospects of machine vision technology in the agricultural fi eld will be even broader
Research on data distribution and load balancing scheduling framework in cloud environment based on fuzzy logic concept
Framework based on fuzzy logic concept is proposed to solve the problem of data distribution and load balancing scheduling
in cloud environment. The framework comprehensively considers the system load, data access mode and node resources, aiming at the
balanced distribution of data and the reasonable scheduling of load. By fuzzy processing the resource status information in the cloud
environment, the advantage of fuzzy logic can refl ect the actual situation more accurately. At the same time, considering the size, type and
access frequency of data and other factors, the data is distributed to diff erent server nodes to achieve the balance of data distribution. Based
on the load balancing algorithm, the task allocation strategy is dynamically adjusted according to the resource status information and task
load of each server node to improve the performance and reliability of the system. The eff ectiveness and superiority of the framework in
the cloud environment are proved by the experimental evaluation. This research has practical signifi cance and application value for data
management and load scheduling in cloud environment
Cultivation of students’ innovative ability under the guidance of the spirit of socialist construction in the new era Teaching reform and practice
To educate people for the Party and the country, we should comprehensively improve the quality of independent training
of talents, and strive to create top-notch innovative talents. How to train professional and technical talents with innovation ability for the
country in the process of comprehensively building socialist modernization and the second centennial goal is an urgent problem to be
solved. This paper analyzes the present situation of the course design of mechanical design, and reforms the task setting and the training of
innovative thinking. Through case analysis, frustration training, current aff airs and cutting-edge technology learning to explore. According
to the characteristics of professional courses, the theme, practice stage and evaluation mechanism are set, in order to improve students’
theoretical knowledge, cultivate innovative thinking and team spirit. The students’ independent innovation ability, engineering consciousness
and active practice ability have been signifi cantly improved
Innovation and application of computer technology in mechanical design, manufacture and automation
With the continuous development of computer technology, it is widely used in various fi elds, which greatly improves the
work effi ciency, and eff ectively promotes the development and reform of various industries to a certain extent. In the fi eld of machinery
design and manufacturing in our country, because of the late development of our machinery fi eld, machinery manufacturing technology and
technology are not mature. However, in this context, the innovative application of computer technology is particularly important. In recent
years, the state has paid more and more attention to the development of mechanical design and manufacturing industry, and organically
integrated it with computer technology, in order to promote the overall development of the entire industry. In view of this, this paper briefl y
analyzes the innovative application of computer technology in mechanical design and manufacturing and automation
High school English homework design from the perspective of unit whole teaching -- Taking Unit 3 Family Matters as an example for Foreign Graduate Edition (2019)
The assignment design under the whole teaching vision of unit has the characteristics of situation, relevance, cooperation,
integration and evaluation. Based on the case, this paper proposes to determine the performance evaluation task according to the analysis of
unit content; Design class assignments, docking performance evaluation tasks; Determine the evaluation plan and evaluate the class work
tasks in three steps to design high school English homework
Research on the application of blockchain technology in the green credit evaluation system of commercial banks
With the increasing global attention to environmental protection, green fi nance has become a hot topic in the current fi nancial
industry. Green bank is an important part of green fi nance, and green credit is an important business of commercial banks in the context
of sustainable development. Its evaluation system plays a key role in promoting sustainable development and environmental protection.
In view of the traditional evaluation sys tem, there are problems such as information asymmetry and data tampering. As a decentralized,
transparent and immutable distributed ledger technology, blockchain technology provides a new solution for the green credit evaluation
system of commercial banks. This paper will deeply study the application of blockchain technology in the green credit evaluation system of
commercial banks, and explore its advantages and challenges
Research on the promotion strategy of preschool Labor education from the perspective of preschool connection
In the process of connecting children and children, in addition to moral, intellectual, physical and beauty education,
labor education also occupies a major position. But in the current social background, people do not pay attention to early childhood labor
education or even in a state of neglect. Through analyzing the existing problems and causes of early childhood labor education, this study
puts forward strategies from four aspects: labor consciousness, labor emotion, labor will and labor behavior. Promote the cultivation of
labor consciousness through family labor and natural labor; Games and evaluation promote children’s labor emotion education; Enhance the
contact between school, family and community, and enhance the will to work; To formulate labor education plans for children and promote
the ability of labor behavior, so as to realize the coordinated development of children’s labor consciousness, labor emotion, labor will and
labor behavior