Sensing in IoT for Smart City Systems

被引：0

作者：

Kochan, Volodymyr ^{[1
]}

Kunanets, Natalia ^{[2
]}

Pasichnyk, Volodymyr ^{[2
]}

Roshchupkin, Oleksiy ^{[1
]}

Sachenko, Anatoliy ^{[1
,3
]}

Turchenko, Iryna ^{[1
]}

Duda, Oleksij ^{[4
]}

Semaniuk, Vita ^{[1
]}

Romaniv, Svitlana ^{[1
]}

Matsiuk, Oleksandr ^{[4
]}

机构：

[1] Ternopil Natl Econ Univ, Intelligent Comp Syst, UA-46020 Ternopol, Ukraine

[2] Natl Univ Lviv Polytech, Informat Syst & Networks, UA-79013 Lvov, Ukraine

[3] Univ Informat Technol & Management Rzeszow, PL-35225 Rzeszow, Poland

[4] Ternopil Ivan Puluj Natl Tech Univ, Comp Sci, UA-46001 Ternopol, Ukraine

来源：

PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 2 | 2019年

关键词：

Internet of Things; sensor errors; measuring channels; accuracy of sensors; neural networks; INTERNET;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Internet of Things (IoT) includes a large set of sensors of various physical quantities, operating principles and parameters. In this case, sensor errors are traditionally dominant in measuring channels. In this paper general methods of increasing the accuracy of sensors using neural networks are considered. Due to the generalization of properties, neural networks can significantly improve the accuracy of sensors with reduced complexity of the transition to their individual transformation functions.

引用

页码：579 / 585

页数：7

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