Electronics Science Technology and Application (E-Journal)
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Research on the present situation and development direction of mechanical engineering intelligence
Full text linkIn the era of Industry 4.0, the traditional mechanical engineering method has been unable to meet the modern manufacturing
industry’s demand for efficient, accurate and fast production. Through the introduction of intelligent technology to greatly improve the
degree of automation and production effi ciency of mechanical engineering, reduce production costs, improve product quality and accuracy,
and further meet the diversifi ed needs of the market, has become an important trend in the development of modern manufacturing industry.
Based on this, this paper fi rst analyzes the signifi cance and current situation of mechanical engineering intelligence, and then discusses
its development direction combined with relevant practical experience, in order to offer suggestions for the development of modern
manufacturing industry
Discussion on the Application of Artificial Intelligence in Computer Network Technology
Full text linkThe world is on the eve of large-scale emerging science and technology revolution, and the important force leading the
progress of the emerging science and technology era is a series of computer communication networks based on artifi cial intelligence and
intelligent high-speed wireless communication networks represented by 5G. The development of computer technology has promoted
the development of all walks of life, and the emergence of artifi cial intelligence has further promoted the change of computer network
technology, and brought a series of chain reactions. The combination of artificial intelligence and computer network technology can
eff ectively optimize the performance of computer network technology and expand the value of computer network technology. Based on the
brief introduction of artifi cial intelligence technology and computer network technology, this paper discusses the application of artifi cial
intelligence technology in computer network technology
Research on real-time scheduling algorithm of federated learning tasks based on energy optimization on NoC platform
Full text linkFederal learning technology can realize global data sharing and reduce the risk of privacy disclosure under the premise of
ensuring data security. Aiming at the problem of task assignment scheduling in federated learning process, this paper studies the problem
of federated learning task scheduling on NoC multi-core platform under cloud computing architecture. Considering the limited computing
resources of physical nodes, this paper describes the problem of optimal assignment and execution of tasks on network nodes as a mixed
integer nonlinear programming problem. In order to improve the computational effi ciency, the original problem can be equitably converted
into a mixed integer linear programming problem. Finally, the scheduling method is verifi ed by real application of task set, and the infl uence
of parameter selection on scheduling scheme is studied
Institutional pressure and omni-channel strategic choice of retail enterprises
Full text linkBased on the institutional theory, this study explores how institutional pressure aff ects the omnichannel strategic choice
of retail enterprises. The results show that mandatory pressure, imitative pressure and normative pressure all positively aff ect the adoption
of omnichannel strategy by retail enterprises. This study expands the research perspective of omnichannel retail strategy, enricheds the
application of institutional theory in marketing fi eld, and provides reference for retail enterprises to make omnichannel strategic decisions
Thinking on business administration development strategy in network economy era
Full text linkAt present, our country has stepped into the information age. With the emergence and rapid development of the computer
and Internet, we have stepped into the era of the network economy, which has posed a great challenge for each of our industries, especially
the enterprise. The traditional way of business operation has been more and more behind the development trend of The Times, can not meet
the development trend of modern network economy, is not conducive to the long-term development of enterprises. The quality of enterprise
management is related to the long-term development of the whole industry, but also related to the healthy development of a country’s
economy. If an enterprise wants to develop healthily, it must innovate in the concept and mode of operation. This article starts from the
actual situation of enterprise management, and makes a simple analysis and discussion on the development strategy of enterprise business
administration in the era of network economy, so as to provide reference for enterprises
Unmanned multi target tracking based on boundary IoU target association
Full text linkAiming at the defects of target matching measurement and fixed life cycle management in traditional multi-target tracking, a target
association and adaptive life cycle management strategy based on boundary IoU is proposed. Boundary IoU takes into account the advantages
of Euclidean distance and IoU, which can improve the accuracy of target matching. The adaptive life cycle management correlates the target
trajectory confidence with the life cycle, which significantly reduces the target loss and trajectory false detection during the tracking process.
Experiments on KITTI multi-target tracking dataset demonstrate the effectiveness of the proposed method
Research on cloud computing-supported information and innovation education resource sharing and collaboration
Full text linkWith the continuous development of cloud computing technology, education resource sharing and collaboration have become an
important development direction in the field of education. This article conducts research on information and innovative education resource
sharing and collaboration supported by cloud computing, aiming to achieve optimal allocation and efficient utilization of education resources.
Firstly, this article analyzes the application status and advantages of cloud computing in education resource sharing and collaboration, and
explores the key technologies and application models of cloud computing in education resource sharing and collaboration. Secondly, this article proposes an architecture for information and innovative education resource sharing and collaboration based on cloud computing, and designs and implements it in detail. Finally, this article verifies the feasibility and effectiveness of the system through experiments, proving that
the system can effectively achieve education resource sharing and collaboration, and improve the efficiency and quality of education resource
utilization
Research review on automatic detection of crop pests based on intelligent vision
Full text linkWith the continuous development of science and technology, i ntelligent technology has become one of the main trends of
today’s social development. In the fi eld of agriculture, intelligent vision technology, as a new technical means, has been widely used in the
automatic detection of crop pests. Through intelligent vision technology, the automatic identifi cation, classifi cation and counting of pests
can be realized, and the quality and effi ciency of agricultural production can be improved. This paper will review the research on automatic
detection of crop pests based on intelligent vision, aiming to provide reference and reference for the research in related fi elds
The practice and prospect of artificial intelligence in smart home technology
Full text linkThe combination of smart home technology and artificial intelligence has brought great convenience and comfort to people’s lives.
The purpose of this thesis is to study the practice and prospect of artificial intelligence in smart home technology. Through the introduction of
the smart home technology and the basic knowledge of artificial intelligence algorithm, the paper discusses the specific application practice
of artificial intelligence in smart home, including speech recognition, automatic control, security monitoring and energy management. At the
same time, this paper also analyzes the prospects and challenges of artificial intelligence in smart home technology, including trend development, data privacy and user experience. By studying successful cases and commercial applications, it demonstrates the potential and commercial value of artificial intelligence in the field of smart home. Finally, the paper summarizes the research results, and looks forward to the
future development potential of artificial intelligence in smart home technology. This study provides useful theoretical guidance and practical
suggestions for promoting the development of smart home technology
An Analysis on the Implementation Path of Employee Stock Ownership System in State-owned Enterprises Based on the Perspective of Technological Innovation
Full text linkTechnological innovation is the core factor of economic development and the source of competitiveness of state-owned
enterprises. Based on the innovation-driven development strategy, employee stock ownership has become an important link in the reform of
state-owned enterprises, and the employee stock ownership system of state-owned enterprises is of great signifi cance for the innovation and
development of enterprises. Employee stock ownership system is a kind of long-term salary incentive, which has been developed for decades
in China. This system arrangement enables employees to participate in the production process as shareholders and laborers. Scientific
and reasonable employee stock ownership system not only improves the welfare of employees, but also helps to enhance the innovation
performance of enterprises. In view of this, this paper starts with the relevant theories of the employee stock ownership system, and on this
basis, elaborates the role of the employee stock ownership system in promoting the technological innovation of state-owned enterprises.
Finally, based on the actual situation and from the perspective of technological innovation, it puts forward the implementation path of the
employee stock ownership system of state-owned enterprises