Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

scholarly journals Smart Classroom – A Stepping Stone in Making Digital India

2019 ◽  
Vol 8 (4) ◽  
pp. 8775-8778
Keyword(s):  
Internet Of Things ◽  
Classroom Environment ◽  
Information Transfer ◽  
Recent Progress ◽  
The Internet ◽  
Stepping Stone ◽  
Noticeable Change ◽  
Smart Classroom ◽  
Smart Classrooms ◽  
The Internet Of Things

Recent progress in learning indicates the importance of students to be active in invents things rather than passive recipients. Smart Classrooms can make a noticeable change in how teachers can teach and learners can learn. The objective of the project presented in this paper is to propose a smart algorithm that provides a means of achieving a smart classroom environment in which most of the manual processes are automated and provides an efficient way of interconnecting multiple classes, thereby providing a unique way for information transfer. The proposed algorithm uses the Internet of Things to communicate between various classrooms and transmit/receive the required information. An embedded module installed in each classroom can collect information such as attendance detail, teacher’s location, and updates the information in the server for future use. These details are then used for some critical purposes, such as sending circulars, calling a particular teacher immediately to the office, etc

scholarly journals Internet of Things Online Monitoring System Based on Cloud Computing

2017 ◽  
Vol 13 (09) ◽  
pp. 123 ◽  
Author(s):  
Kehua Xian
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Monitoring System ◽  
Online Monitoring ◽  
The Internet ◽  
Online Monitoring System ◽  
Database Service ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p><span style="font-family: 宋体; font-size: medium;">In order to develop a new convenient online monitoring system for Internet of things, an online monitoring system based on cloud computing is designed. The performance of this new Internet of things technology used in modern agricultural is test by Amazon relational database service (RDS) and ZigBee perception network. By analyzing the Internet of things related technologies and agricultural modernization, the integration framework of the Internet of things, cloud computing and data mining technology in the field of modern agriculture are proposed. Through the modern agricultural Internet of things monitoring system, the Internet of things intelligent gateway, cloud based research and construction of large data analysis and data mining projects are verified. The experimental results show that the relevant parameters of the model are obtained by training about 70% of the original data after adopting the cloud computing. Based on the above finding, it is concluded that the open Internet of things platform needs to be supported by the powerful computing resources. In addition, the cloud computing technology is suitable for the development of the Internet of things service platform.</span></p>

scholarly journals Design of Smart Classroom System Based on Internet of Things Technology and Smart Classroom

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Mingbao Zhang ◽  
Xiang Li
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Light Intensity ◽  
Management Strategies ◽  
The Internet ◽  
Main Concern ◽  
Smart Classroom ◽  
Source Data ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Smart classroom teaching is one of the new teaching methods. With the support of technology, teaching is carried out with the help of smart teaching tools to enhance teacher-student communication, enhance students’ learning autonomy, and provide new ideas for the realization of students’ deep learning. How to promote the overall intelligence of the teaching environment so that the teaching equipment can be used more efficiently and managed more effectively has become the main concern of schools. This article mainly studies the smart classroom system based on the Internet of Things technology and smart classroom. For temperature detection, we mainly use the DS18B20 chip to detect the temperature in the classroom. For the light intensity of the classroom, we use a photoresistor to collect the light data, and after amplification by the amplifier, the A/D sampling process of the single-chip microcomputer is used to obtain the light intensity, combined with the clock module to distinguish the influence of the classroom light. The data collection adopts the method of directly observing the source data, and the data format has not undergone secondary conversion, which ensures the accuracy of the source data. This test uses the USR-TCP232 network debugging assistant to debug the data collection. To optimize the safety and reliability of the system, dual-computer backup switching is adopted on the hardware, and process monitoring and management strategies are adopted on the software. At the same time, the amount of data interaction in the smart classroom is relatively large, so it is necessary to build a highly available cluster server, so that the system not only has a certain degree of stability, but also can quickly respond to users’ access requests. We can calculate that the average transmission time is about 10 ms, and 99.9% of the data transmission delay is less than 30 ms. The results show that the Internet of Things and smart classroom provide great convenience for future smart campus construction, daily teaching, and campus management and can also provide reference for the construction of smart classrooms in other universities.

The Real-Time Interactive Smart Energy System Based on the Internet of Things and Cloud Computing

2013 ◽  
Vol 705 ◽  
pp. 584-589
Author(s):  
Liang Chen ◽  
Yang Wang ◽  
Shi Wang Yang ◽  
Xue Ping Gu ◽  
Yan Xu
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Real Time ◽  
Service System ◽  
Energy System ◽  
The Internet ◽  
Cloud Computing Service ◽  
Internet Of Things Technology ◽  
Decision Mode ◽  
The Internet Of Things

A real-time interactive smart energy system is designed based on the internet of things and cloud computing, which is composed of Smart Meters, Smart Terminals, Smart Power Plugs and Cloud computing service system. Combining with Smart Gird property and the internet of things technology, the smart energy system provides the full range interaction of Power companies-Internet of things equipments-cooperation between the equipments. Meanwhile, the offline decision mode is supported by the expert system and the online decision mode is provided by the Cloud computing service system, making it both reliable and real-time in transaction processing. Eventually, the smart energy system can achieve real-time visualization, diversified interaction, smart interaction and scientific decision-making.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

The Correlation Between the Development of IoT Robot Technology and the Effect of Economic Development

2021 ◽  
Author(s):  
Haiting Huang
Keyword(s):  
Economic Development ◽  
Internet Of Things ◽  
System Structure ◽  
Ultra Wideband ◽  
The Internet ◽  
Intelligent Robot ◽  
Traditional Technology ◽  
Robot Technology ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

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