Research and Application of Filtering Algorithm in Internet of Things

2013 ◽  
Vol 330 ◽  
pp. 1028-1031
Author(s):  
Jian Yi Li ◽  
Hui Juan Wang ◽  
Quan Bo Yuan

This paper analyzes the problems of Research and application of filtering algorithm in internet of things.Internet of things is composed of multiple components, to form a distributed network in the Internet, the purpose of this distributed network information filtering algorithm is increasing filter algorithm efficiency, and combinating the laboratory intelligent monitoring platform,it can effectively solve the problem caused by defects of filtering algorithm in internet of things.

2012 ◽  
Vol 4 ◽  
pp. 38-42
Author(s):  
Jin Liang Bian

With the Internet spread and deepening of the application, the development of enterprises Internet and e-commerce business has become an inevitable trend. Network security has drawn more and more attention. Therefore, it is necessary to monitor network information real-timely by using an effective information filtering systems in the network security. So the paper discussed the system structure, the estimation methods and key technology of the Network Information Filtering System in the general and in detail.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 177297-177308
Author(s):  
Zejiang Huang ◽  
Qingguo Chen ◽  
Lifeng Zhang ◽  
Xiaohai Hu

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 656-662 ◽  
Author(s):  
Jianhou Gan ◽  
Xingchao Wang ◽  
Juxiang Zhou ◽  
Lin Tang ◽  
Lingyun Yuan

Abstract With the development of the Internet of Things (IoT), a new and important research direction is possible using IoT to solve the problems of information and intelligence in the metallurgical industry. This paper proposes an intelligent monitoring network based on networking technology and uses the coking process as the research object. The construction of a coking process intelligence monitoring network should focus on the formation of a perception layer network and build on a ZigBee mesh clustered network. Moreover, it also puts forward a network routing establishment and data transmission mechanism. This study provides an effective reference for the wide application of the IoT in the intelligent management and monitoring of the metallurgical process.


2021 ◽  
Vol 4 (1) ◽  
pp. 10-17
Author(s):  
Jamal Mabrouki ◽  
Mourade Azrour ◽  
Ghizlane Fattah ◽  
Driss Dhiba ◽  
Souad El Hajjaji

2013 ◽  
Vol 427-429 ◽  
pp. 1028-1031
Author(s):  
Ling Yun Zhang ◽  
Hua Zhang ◽  
Peng Fei Zhang ◽  
Qiu Hong Yuan

The edible fungus industry has relatively high output rate and high added value. In the production of edible fungus, the environmental factors have great impacts. This paper studies the intelligent monitoring system for producing environment of the factory-farmed edible fungus based on the internet of things and aiming at online real-time management. The monitoring system can realize real-time surveillance and visual operation during production by dynamically regulating the environmental factors needed for growing edible fungus and early warning of the environmental parameters fluctuation with traceable history records at any time. When parameters like temperature and humidity are beyond reasonable range, warning will be sent via text messages and equipments such as air conditioners and warming devices will be automatically adjusted for on and off so as to raise management level, increase the output, improve the quality and lower the risks.


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