Quantitative Modeling of Science and Technology Finance Supporting Industrial Innovation Development Based on Internet of Things Technology

2021 ◽  
Vol 7 (5) ◽  
pp. 2055-2072
Author(s):  
Sai Tang ◽  
Zhihui Wang ◽  
Jiahao Zhou ◽  
Xin Zhang
Keyword(s):  
Internet Of Things ◽  
Financial Support ◽  
Science And Technology ◽  
High Tech ◽  
Conditional Heteroskedasticity ◽  
Finance Industry ◽  
Actual Effect ◽  
Autoregressive Conditional Heteroskedasticity ◽  
Internet Of Things Technology ◽  
Innovation And Development

Objectives: In recent years, science and technology financial support industries are actively supporting the innovation and development of high-tech industries. In order to test the actual effect of S&T financial support industry support plan, a GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) model is designed by using K-means (K-means clustering) algorithm and GM (1,1) (grey prediction) algorithm, which can quantitatively display the development of S&T financial industry to promote high-tech. The GARCH model is used to quantify the degree of innovation and development of science and technology finance industry in the Internet of Things (loT) technology. Finally, according to the quantitative data obtained by GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) model, the actual effect of science and technology finance industry promoting innovation and development of high-tech is evaluated by FAHP (Fuzzy Analytic Hierarchy Process) model. The results show that science and technology finance industry plays a positive role in promoting the innovation and development of loT technology.

scholarly journals SCALING CHALLENGES OF HIGH-TECH SMES DEVELOPING INTERNET OF THINGS TECHNOLOGY

2021 ◽  
Vol 7 (2) ◽  
pp. 2-6
Author(s):  
Anthony Bouzakis ◽  
Keyword(s):  
Internet Of Things ◽  
New Product Development ◽  
Recent Literature ◽  
Relevant Literature ◽  
New Product ◽  
Engineering Management ◽  
Project Planning ◽  
High Tech ◽  
Engineering Teams ◽  
Internet Of Things Technology

This paper is a review of the organizational structure and challenges that a technological enterprise faces during scaling, from the perspective of the engineering management. After expanding operations internationally, the distributed engineering teams developing hardware and software for internet of things applications, face issues regarding culture, communication, leadership, project planning and management. Relevant literature addressing these issues is presented. We elaborate on already implemented measures for improving the overall efficiency and propose further processes introduced in recent literature that can be beneficial for further optimizing the new product development. Potential knock-on effects by such implementation are also discussed.

scholarly journals Scientific and practical foundations and business processes for the sustainable development of Smart City

2021 ◽  
Vol 258 ◽  
pp. 02023
Author(s):  
Inna Krasovskaya ◽  
Elena Schislyaeva ◽  
Felix Shamrai
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Business Processes ◽  
Smart Cities ◽  
Economic Environment ◽  
High Tech ◽  
The Internet ◽  
Territorial Planning ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The article investigates scientific and practical issues of transport logistics; the conceptual and methodological mechanisms of formation of the “Smart City” strategy are considered and its main business processes are interpreted; the author’s description of the Internet of Things as a high-tech network of deterministic mechanisms, logistic algorithms, business processes and technical and technological devices, interconnected with each other and with the external socio-economic environment is presented; the international experience of the formation and functioning of transport and logistics business processes of “smart cities” was critically rethought; reducing costs, ensuring socio-economic growth and sustainability, while improving the quality of services and the life of citizens, are justified as fundamental tasks of smart city projects; studied the socio-economic objectives of the Smart City of St. Petersburg project, in particular, the formation of a list of measures to optimize business processes, the creation of an external economic environment that would facilitate the attraction of non-budgetary funding sources for the implementation of projects, the development of a methodology for monitoring indicators of socio-economic development and territorial planning of St. Petersburg; identified the main socio-economic advantages of the introduction of smart parking in relation to the infrastructures of smart cities and their residents; empirically confirmed the effectiveness of the implementation of an intelligent parking management system based on the “Internet of Things” technology in the social and economic conditions of St. Petersburg; the characteristic of transport and logistics advantages of the strategy “Smart city of St. Petersburg” is provided.

Research on the expression of new visual intelligence system based on machine learning technology

2021 ◽  
pp. 1-9
Author(s):  
Zuoshan Li
Keyword(s):  
Machine Learning ◽  
Intelligent System ◽  
Science And Technology ◽  
Learning Technology ◽  
3D Animation ◽  
Motion Data ◽  
Intelligence System ◽  
New Science ◽  
Continuous Progress ◽  
Internet Of Things Technology

With the continuous progress of society, the level of science and technology of the country has made a leap forward development, the research energy of various industries on new science and technology continues to deepen, greatly promoting the promotion of science and technology. At the same time, with the increase in social pressure, more and more people pursue spiritual relaxation, and appropriate leisure and entertainment activities have gradually become a part of people’s life. Film plays an irreplaceable role in leisure and entertainment. Mainly from the background of the development of the film industry towards intelligent direction, and then use machine learning technology to study the application of film animation production and film virtual assets analysis and investigation. Based on the Internet of things technology, we also vigorously develop the ways and methods of visual expression of movies, and at the same time introduce new expression modes to promote the expression effect of the intelligent system. Finally, by comparing various algorithms in machine learning technology, the results of intelligent expression of random number forest algorithm in machine learning technology are more accurate. The system is also applied to 3D animation production to observe the measurement error of 3D motion data and facial expression data.

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