Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

Chan, Yupo

doi:10.3141/2658-06

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…BP neural algorithm does not need to show the equation describing this mapping relationship [23]. e structure of BP neural network model includes input layer, hidden layer, and output layer [24], as shown in Figure 4.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Wang

Han

Wang

2022

Security and Communication Networks

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Traditional classroom teaching analysis is mainly based on manual coding of time sampling, which has problems such as overreliance on experts, low analysis efficiency, and difficulty in large-scale services. Classroom teaching analysis based on artificial intelligence technology breaks through the predicament. With the continuous development of intelligent analysis technology, the research on physical education in colleges and universities becomes more and more meaningful. The task of physical education is to impart physical knowledge, technology, and skills to students, enhance their physical fitness, and cultivate their morality, will, and quality. It is one of the ways to implement sports goals. This article proposes how to change traditional teaching based on intelligent analysis technology. This article aims to study how to apply the emerging intelligent analysis technology to the physical education teaching process in colleges and universities; this enables students to be more personalized in the learning process, stimulates their enthusiasm for learning, and meets their basic requirements, breaking through traditional teaching methods, and making it possible to teach students in accordance with their aptitude. In the experimental analysis of this article, from the overall trend of the student evaluation data for 7 consecutive semesters, it can be found that the minimum value of the mean, median, and mode appears in the first semester of the 2016–2017 school year, and the maximum appears in the first semester of the 2019–2020 school year. The average score (mean) of students' evaluation of teaching fluctuates from 4.71 to 4.72, and the fluctuating range of the students' evaluation score (median) of the middlemost students is from 4.56 to 4.66. The results show that the intelligent analysis technology has played a stimulating effect on teachers' teaching and effectively mobilized teachers' teaching initiative. Therefore, the application of intelligent analysis technology is very necessary. Combine health education with moral education, intellectual education, physical education, aesthetic education, and labor education, and integrate it into the whole process of education, teaching, management and services, and build a health education system that is oriented to and responsible for everyone.

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Section: R E T R a C T E Dmentioning

confidence: 99%

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Wang

Han

Wang

2022

Security and Communication Networks

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Travel modeling under foreseeable communications-and-mobility technologies: Part I (short-term view)

Chan

2019

Advances in Transport Policy and Planning

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Smart Cities and Transportation: Reviewing the Scientific Character of the Theories

2022

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The concept “smart city” nowadays designates a plethora of things. The multiple meanings associated with the smart city, and its imperfect synonym the “robotic city”, continue to provide a topic of debate. In this paper we aim to present an epistemologically grounded review of articles focused on the concept of “smart city” and its correlatives. The goal of this article is to ascertain whether the scientific character of the theories employed in such articles is discussed and/or ascertained. For this purpose, we used Popper’s method of falsification: a theory’s scientific character is determined by its falsifiability and eventual falsification. Papers from the literature were extracted using the PRISMA method, and 15 studies were assessed as eligible for analysis. Most conclusions and results expounded in the articles reviewed that claim to be scientific are arguably based on the unsound logic of verification and confirmation rather than falsification. This has the detrimental effect of reducing to the category of logically false universal instantiations the majority of conclusions about (a) smart city services and infrastructures, (b) intelligent transportation systems and (c) blockchain/Internet of Things.

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Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

Cited by 3 publications

References 37 publications

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

The Application of Motion Trajectory Acquisition and Intelligent Analysis Technology in Physical Education Teaching in Colleges and Universities

Travel modeling under foreseeable communications-and-mobility technologies: Part I (short-term view)

Smart Cities and Transportation: Reviewing the Scientific Character of the Theories

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