Electronics Science Technology and Application (E-Journal)
Not a member yet
337 research outputs found
Sort by
Discussion on application of artificial intelligence robot in fire prevention and rescue
With the development of science and technology and the progress of society, fi re has become a common and serious disaster.
The traditional means of fi re prevention and rescue in some cases have a certain degree of limitations, therefore, the application of artifi cial
intelligence robot in fire prevention and rescue has attracted much attention. Artificial intelligence robot has the ability of autonomous
perception, decision-making and execution, which can eff ectively deal with fi re accidents and provide new solutions for fi re prevention and
control. The purpose of this paper is to systematically discuss the application of artifi cial intelligence robot in fi re prevention and rescue,
analyze the robot’s perception ability, decision-making ability and execution effect in the fire scene, and put forward the methods and
suggestions to solve the relevant problems. Its signifi cance is to provide new ideas and technical support for fi re prevention and control
work, improve the effi ciency and safety of fi re prevention and rescue
Study on Spark performance tuning strategy based on Skewed Partitioning and Locality-aware Partitioning
Apache Spark is a large-scale data processing engine, widely used in a variety of big data analysis tasks. However, data
skew and data locality issues can cause performance degradation in Spark applications. This paper investigates Spark performance tuning
strategies based on Skewed Partitioning and Locality-aware Partitioning. Firstly, the infl uence of data skew and data localizability problems
in Spark is analyzed, and then a perfo rmance tuning method combining Skewed Partitioning and Locality-aware Partitioning is proposed.
Experimental results show that this method can significantly improve the efficiency of Spark jobs when dealing with large data sets,
compared with traditional HashPartitioner
Discussion on Wushu culture education in colleges and universities from the perspective of cultural inheritance
College martial arts culture education is an important and urgent task, it carries the inheritance and development of
traditional culture, but also the need to train students to develop in an all-round way. Under the background of globalization, Chinese
traditional martial arts culture, as a unique cultural heritage with profound historical accumulation, needs to be inherited and carried
forward. Therefore, through the in-depth discussion of martial arts culture education in colleges and universities, we can reveal its important
signifi cance in the perspective of cultural inheritance and how to optimize the eff ective strategy of education, so as to better realize the goal
of martial arts culture inheritance
The Application of Information and Communication Technology in the Internet of Things
With the booming development of the Internet of Things, this paper takes the improvement of the efficiency of information and
communication technology in its application as the research object. Taking smart city as an example, the paper studies cloud scale, data transmission and security, and proposes to optimize cloud computing and big data processing, and strengthen wireless communication technology,
so as to realize more intelligent and efficient applications of the Internet of Things. The research results aim to provide reference for relevant
decision makers and engineers, and promote the continuous innovation and application of IoT technology in different fields
Research on Fault Diagnosis and Maintenance Strategy Based on Automobile Engine Electric Control System
With the wide application of automobile engine electric control system, in order to solve the adverse effects of system faults on
vehicle performance, this paper takes the automobile engine electric control system as an example for in-depth study. Through the analysis
of common faults, the diagnosis and maintenance strategy is proposed, including fault code analysis, circuit detection, software update, and
component replacement and adjustment. These strategies are expected to improve the accuracy and repair efficiency of fault location, providing practical guidelines for relevant practitioners. The research aims to promote the development of technology in the field of automotive
electronic control system and improve the level of maintenance, in order to provide beneficial reference and guidance for automotive engineers and maintenance personnel
Training of human resource management professionals in colleges and universities based on core qualities
With the deepening of education reform, the training mode of human resource management professionals in colleges and
universities is also gradually reformed and optimized. At present, digital and intelligent reform has become one of the eff ective ways to
cultivate students’ professional quality. As one of the hot words in the fi eld of education, core literacy has been widely used in many fi elds
such as teaching reform and personnel training. In this regard, under the background of core literacy, in order to eff ectively improve the
quality of talent training and make students become compound talents required by the development of society and enterprises, it is necessary
to explore and innovate the talent training mode according to the needs of the development of The Times, so as to promote the improvement
of professional ability and core literacy of college students. In this regard, this paper briefl y analyzes the innovation path of college human
resource management talent training based on core literacy, hoping to provide readers with some valuable reference and reference
Application and Performance Analysis of Silicon Carbide Pow_x005fer Electronic Devices in Power Systems
As a new wide-band semiconductor material emerging in recent years, Silicon carbide has the advantages of high voltage resist_x005fance, high temperature resistance, high power, high breakdown field strength and high thermal conductivity. This paper looks forward to the
current status and future development of its application in power system, and its rapid development will bring great influence to the power
system. Based on the booming development of silicon carbide materials, it can provide an insight into the possible future development trend
of power electronic devices
Optical properties of ZnO fi lms with nanorod structures
In this paper, ZnO seed layer was prepared on glass substrate by sol-gel method, and ZnO nanorods were grown on the seed
layer by hydrothermal method. ZnO fi lms with nanorod structures were obtained. B y changing the concentration of hydrothermal growth,
diff erent ZnO fi lms with nanorod structures were obtained, and the structure, morphology, transmittance and light trapping properties of
the fi lms were characterized. The optical properties of ZnO fi lms with nanorod structures under diff erent growth conditions were studied in
order to improve the light trapping properties of ZnO fi lms while ensuring high transmittance of the fi lms
The reform of computer professional practice in colleges and universities
Combined with the main characteristics and needs of the current development of higher education, this paper analyzes
the importance of college computer professional practice teaching reform, and discusses the existing problems. Comprehensive college
computer professional talent cultivation related content, college computer practical teaching innovation reform to explore, help to improve
the eff ectiveness of computer professional classroom teaching, to achieve computer professional innovation and development
The research and implementation of DNA sequence minimization tree based on Spark cloud computing and chaotic genetic algorithm
To reconstruct a reliable phylogenetic inference based on the genetic or species diversity of living organisms, and to reveal the sequence of biological evolution, is helpful to understand the history and evolutionary mechanism of biological evolution. In order to solve the
problem of limited running time and number of categories in the existing algorithms for constructing maximal reduced tree, chaos genetic
algorithm and Spark cloud computing are used to parallel the algorithm, which can greatly reduce the searching time, increase the number of
treated species