FCST Synergy Education Model Based on Mobile Internet Technology in Chinese Higher Vocational Colleges

2021 ◽  
pp. 447-457
Author(s):  
Fen Tan
Keyword(s):  
Mobile Internet ◽  
Internet Technology ◽  
Model Based ◽  
Education Model ◽  
Vocational Colleges

scholarly journals Integrated Reform of Electronic Technology Courses in Higher Vocational Colleges Based on the OBE Concept

2021 ◽  
Vol 5 (9) ◽  
pp. 20-25
Author(s):  
Jian Pan ◽  
Li Wen ◽  
Lihua Qi ◽  
Dongqiu Xing ◽  
Yuting Zhao
Keyword(s):  
Technical Education ◽  
Technical Colleges ◽  
Electronic Technology ◽  
Student Centered ◽  
New Era ◽  
Educational Achievements ◽  
Model Based ◽  
Education Model ◽  
Vocational Colleges ◽  
Outcomes Based Education

The education model based on outcomes-based education (OBE) emphasizes on taking educational achievements as the guide as well as focusing on student-centered and ability-based concepts. OBE is consistent with the talent output goals of higher vocational and technical education. Using the construction of electronic technology courses in higher vocational and technical colleges as an example, this article takes the course reform as an important carrier to promote ability training and explores the course reform scheme to meet the ability needs of higher vocational talents in the new era based on the concept of OBE in order to provide a useful reference for improving the level of talent training in higher vocational colleges.

scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

scholarly journals Research on the Human Dynamics in Mobile Communities Based on Social Identity

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Qiang Yan ◽  
Lianren Wu ◽  
Lanli Yi
Keyword(s):  
Social Identity ◽  
Mobile Phone ◽  
Power Law ◽  
Significant Influence ◽  
Mobile Internet ◽  
Internet Technology ◽  
Power Exponent ◽  
Human Dynamics ◽  
The Social ◽  
Simulation Results

Through analyzing the data about the releases, comment, and forwarding of 120,000 microblog messages in a year, this paper finds out that the intervals between information releases and comment follow a power law; besides, the analysis of data in each 24 hours reveals obvious differences between microblogging and website visit, email, instant communication, and the use of mobile phone, reflecting how people use fragments of time via mobile internet technology. The paper points out the significant influence of the user's activity on the intervals of information releases and thus demonstrates a positive correlation between the activity and the power exponent. The paper also points out that user's activity is influenced by social identity in a positive way. The simulation results based on the social identity mechanism fit well with the actual data, which indicates that this mechanism is a reasonable way to explain people's behavior in the mobile Internet.

Work in progress — New education model based on competencies of higher education and iMIS with architectures

2016 ◽  
Author(s):  
Jesus Alfonso Perez Gama ◽  
Remolina Caro ◽  
Carlos Hernan ◽  
Diego Beltran Alvarado ◽  
Claudia Lucia Caro Gomez ◽  
...  
Keyword(s):  
Higher Education ◽  
Work In Progress ◽  
Model Based ◽  
Education Model ◽  
New Education

A Kalman Filter-Based Queue Length Estimation Method with Low-Penetration Mobile Sensor Data at Signalized Intersections

2018 ◽  
Vol 2672 (45) ◽  
pp. 253-264 ◽  
Author(s):  
Juyuan Yin ◽  
Jian Sun ◽  
Keshuang Tang
Keyword(s):  
Kalman Filter ◽  
Queue Length ◽  
Estimation Method ◽  
Mobile Internet ◽  
Internet Technology ◽  
Sensor Data ◽  
Linear Regression Method ◽  
Mobile Sensor ◽  
Length Estimation ◽  
Queue Lengths

Queue length estimation is of great importance for signal performance measures and signal optimization. With the development of connected vehicle technology and mobile internet technology, using mobile sensor data instead of fixed detector data to estimate queue length has become a significant research topic. This study proposes a queue length estimation method using low-penetration mobile sensor data as the only input. The proposed method is based on the combination of Kalman Filtering and shockwave theory. The critical points are identified from raw spatiotemporal points and allocated to different cycles for subsequent estimation. To apply the Kalman Filter, a state-space model with two state variables and the system noise determined by queue-forming acceleration is established, which can characterize the stochastic property of queue forming. The Kalman Filter with joining points as measurement input recursively estimates real-time queue lengths; on the other hand, queue-discharging waves are estimated with a line fitted to leaving points. By calculating the crossing point of the queue-forming wave and the queue-discharging wave of a cycle, the maximum queue length is also estimated. A case study with DiDi mobile sensor data and ground truth maximum queue lengths at Huanggang-Fuzhong intersection, Shenzhen, China, shows that the mean absolute percentage error is only 11.2%. Moreover, the sensitivity analysis shows that the proposed estimation method achieves much better performance than the classical linear regression method, especially in extremely low penetration rates.

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