scholarly journals Design of Distributed Collection Model of Student Development Information Based on Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hui Ji
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Student Development ◽  
Data Transmission ◽  
Developmental Assessment ◽  
Noise Interference ◽  
Internet Of Things Environment ◽  
Development Assessment ◽  
Internet Of Things Technology ◽  
Transmission Ability

This paper is aimed at the problem that the process of students’ developmental assessment is too comprehensive and the process of data collection is too old. It is very important but the performance of existing methods cannot meet the actual needs. So, this paper puts forward the design of distributed collection model of students’ developmental information based on Internet of Things technology, which is based on the hardware design of students’ developmental information distributed collection such as RF RC500F chip, TIMSP430 microprocessor, and interface in Internet of Things environment. Experimental results show that the model has less noise interference and strong data transmission ability, has higher collection accuracy of student development information, and can improve the authenticity and comprehensiveness of student development assessment.

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.

Privacy in the Internet of Things

2019 ◽  
pp. 1569-1584
Author(s):  
Jayashree Kanniappan ◽  
Babu Rajendiran
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Life ◽  
Smart Devices ◽  
The Internet ◽  
Privacy Threats ◽  
And Performance ◽  
Internet Of Things Technology ◽  
Privacy Issues ◽  
The Internet Of Things

Internet of Things technology is rapidly gaining popularity, not only in industrial and commercial environments, but also in personal life by means of smart devices at home. The Internet of Things (IoT) spawn new businesses and make buildings, cities and transport smarter. The IoT allows for ubiquitous data collection or tracking, but these useful features are also examples of privacy threats that are already limiting the success of the IoT vision when not implemented correctly. Privacy should be protected in the device, in storage, during communication, and at processing. The privacy of users and their data protection have been identified as one of the important challenges that need to be addressed in the IoT. The chapter presents the IoT technology, the various applications, and privacy issues. Various other issues such as security and performance are also addressed.

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.

Privacy in the Internet of Things

2017 ◽  
pp. 94-109 ◽  
Author(s):  
Jayashree Kanniappan ◽  
Babu Rajendiran
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Life ◽  
Smart Devices ◽  
The Internet ◽  
Privacy Threats ◽  
And Performance ◽  
Internet Of Things Technology ◽  
Privacy Issues ◽  
The Internet Of Things

Internet of Things technology is rapidly gaining popularity, not only in industrial and commercial environments, but also in personal life by means of smart devices at home. The Internet of Things (IoT) spawn new businesses and make buildings, cities and transport smarter. The IoT allows for ubiquitous data collection or tracking, but these useful features are also examples of privacy threats that are already limiting the success of the IoT vision when not implemented correctly. Privacy should be protected in the device, in storage, during communication, and at processing. The privacy of users and their data protection have been identified as one of the important challenges that need to be addressed in the IoT. The chapter presents the IoT technology, the various applications, and privacy issues. Various other issues such as security and performance are also addressed.

scholarly journals Development of unmanned remote smart rescue platform applying Internet of Things technology

2018 ◽  
Vol 14 (6) ◽  
pp. 155014771878448 ◽  
Author(s):  
Jung Woo Kim ◽  
Sang Hun Sul ◽  
Jae Boong Choi
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Printed Circuit Board ◽  
Leisure Activities ◽  
Emergency Situation ◽  
Circuit Board ◽  
Real Time Monitoring ◽  
Outdoor Climate ◽  
Internet Of Things Environment ◽  
Internet Of Things Technology

A new form of network has been created with the communication between objects in the Internet of Things environment. Users began to take interests in outdoor activities such as sports and leisure activities while sharing photographs and videos each other. In order to minimize the damage caused by unexpected accidents in response to outdoor climate change, Internet of Things technology is applied to emergency rescue system for quick and efficient rescue. In this article, the unmanned remote smart rescue platform applying Internet of Things technology quickly responds by real-time monitoring of the occurrence of a distress call. The system was developed so that the emergency situation is transferred to the management center and rescue victims within 4 min. The real-time monitoring system of unmanned remote smart rescue box is developed in such a manner that the equipment can be checked for theft and damage from external sources. Sensor multifunction printed circuit board module is developed under Internet of Things environment to be interconnected to single-board computers and various sensors. Thus, the installation of unmanned remote smart rescue box at the actual site delivers accurate positions of rescuees to promptly dispatch personnel to carry out efficient rescue operations.

scholarly journals OPTIMIZATION OF DATA TRANSFER IN THE INTERNET OF THINGS ENVIRONMENT

2021 ◽  
Vol 21 (2) ◽  
pp. 13-16
Author(s):  
Rastislav PETIJA ◽  
◽  
František JAKAB ◽  
Peter FECIĽAK ◽  
Miroslav MICHALKO
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Experimental Verification ◽  
Data Transmission ◽  
Data Transfer ◽  
The Internet ◽  
Modular Approach ◽  
Internet Of Things Environment ◽  
Main Components ◽  
The Internet Of Things

This article deals with the implementation and experimental verification of the suitability of the TinyIPFIX protocol for data transmission in the Internet of Things environment. The work was devoted to the creation of three main components, namely TinyIPFIX exporter, collector, and mediator. The implementation of these tools made it possible to extend the possibility of monitoring a common network with an IoT environment. The experiments confirmed the success of the implementation of the protocol based on standards and pointed out the suitability of the implementation of the TinyIPFIX protocol mainly due to its optimized processes, which save up to 72% of bandwidth consumption compared to the IPFIX protocol when transmitting one data unit. Thanks to the modular approach during implementation, it is possible to deploy the protocol in the environment regardless of the transport technology. The created solution can therefore also be used in UAV sensor networks.

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