Real-time monitoring of physical education classroom in colleges and universities based on open IoT and cloud computing

2020 ◽  
pp. 1-13
Author(s):  
Guo Jianbang ◽  
Sun Changxin
Keyword(s):  
Cloud Computing ◽  
Physical Education ◽  
Real Time ◽  
Intelligent System ◽  
Morphological Characteristics ◽  
Image Data ◽  
Traditional Teaching ◽  
Real Time Monitoring ◽  
Intelligence System ◽  
Technical Basis

The teaching effect of college physical education classroom needs to be combined with artificial intelligence system. From the actual situation, the current college physical education classroom is mostly based on manual teaching and manual management, so the teaching effect is not good. In order to change the traditional teaching mode and improve the classroom detection effect, based on the open Internet of Things and cloud computing technology, this paper builds a real-time monitoring system of college physical education classroom, and proposes a number of new and improved algorithms, which provide a theoretical and technical basis for the application of automatic identity positioning in large scenes. Moreover, this study obtains field scenes through field image data collection and field data processing, and then combines the regional scenes with field measured data to verify accuracy and trends to obtain students’ morphological characteristics. In addition, this paper designs practical experiments to verify the system performance. The research results show that the intelligent system constructed in this paper has certain effects and can be applied to physical education.

A CNC Equipment Distributed Monitoring System Based on Cloud Computing Technology

2014 ◽  
Vol 1022 ◽  
pp. 392-395 ◽  
Author(s):  
Rang Yong Zhang ◽  
Geng Ma ◽  
Guang He Cheng
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Wireless Network ◽  
Monitoring System ◽  
Communication Technology ◽  
Wide Area ◽  
Distributed Monitoring ◽  
Real Time Monitoring ◽  
Computing Technology ◽  
Remote Diagnostics

CNC equipment distributed monitoring system based on cloud computing technology provides a sable and reliable remote real time monitoring system to monitoring a mount of CNC equipment distributed in a large wide area by wireless network and GPRS communication technology which can be used to remote diagnostics and improve service respond speed.

scholarly journals Real-Time Monitoring of the In Situ Microfluidic Synthesis of Ag Nanoparticles on Solid Substrate for Reliable SERS Detection

Biosensors ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 520
Author(s):  
Niccolò Paccotti ◽  
Alessandro Chiadò ◽  
Chiara Novara ◽  
Paola Rivolo ◽  
Daniel Montesi ◽  
...  
Keyword(s):  
Real Time ◽  
Flow Rate ◽  
Ag Nanoparticles ◽  
Morphological Characteristics ◽  
Surface Enhanced Raman Spectroscopy ◽  
Solid Substrate ◽  
Plasmonic Nanostructures ◽  
Rate Variation ◽  
Real Time Monitoring ◽  
Vis Spectroscopy

A sharpened control over the parameters affecting the synthesis of plasmonic nanostructures is often crucial for their application in biosensing, which, if based on surface-enhanced Raman spectroscopy (SERS), requires well-defined optical properties of the substrate. In this work, a method for the microfluidic synthesis of Ag nanoparticles (NPs) on porous silicon (pSi) was developed, focusing on achieving a fine control over the morphological characteristics and spatial distribution of the produced nanostructures to be used as SERS substrates. To this end, a pSi membrane was integrated in a microfluidic chamber in which the silver precursor solution was injected, allowing for the real-time monitoring of the reaction by UV–Vis spectroscopy. The synthesis parameters, such as the concentration of the silver precursor, the temperature, and the flow rate, were varied in order to study their effects on the final silver NPs’ morphology. Variations in the flow rate affected the size distribution of the NPs, whereas both the temperature and the concentration of the silver precursor strongly influenced the rate of the reaction and the particle size. Consistently with the described trends, SERS tests using 4-MBA as a probe showed how the flow rate variation affected the SERS enhancement uniformity, and how the production of larger NPs, as a result of an increase in temperature or of the concentration of the Ag precursor, led to an increased SERS efficiency.

scholarly journals INTELLIGENT DEVELOPMENT OF BIG DATA ANALYTICS FOR MANUFACTURING INDUSTRY IN CLOUD COMPUTING

2019 ◽  
Vol 01 (01) ◽  
pp. 13-22 ◽  
Author(s):  
Abul Bashar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Smart Home ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Big Data Analytics ◽  
City Development ◽  
Real Time Monitoring

Big-data analytics being a useful technique in the analyzing the deeper values hidden inside a huge set of data flow that are generated in our day today lives, has almost become more prominent in variety of applications such as industrial development, smart home to smart city development and security management etc., despite its high potentials the challenges incurred makes it insufficient with certain applications that include a real time monitoring, so the paper proposes the real time monitoring of the developing manufacturing industry by proffering the intelligent big data analytics and cloud computing to present with the maximum possible insights to improvise the process of the manufacturing , by retaining the product consistency, optimal throughput and increasing the productivity.

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