Dedicated Algorithm based on Discrete Cosine Transform for the Analysis of Industrial Processes Using Ultrasound Tomography

被引：4

作者：

Mazurek, Mariusz ^{[1
]}

Rymarczyk, Tomasz ^{[2
]}

Kania, Konrad ^{[3
]}

Klosowski, Grzegorz ^{[4
]}

机构：

[1] Polish Acad Sci, Inst Philosophy & Sociol, Warsaw, Poland

[2] Univ Econ & Innovat Lublin, R&D Ctr Netrix SA, Lublin, Poland

[3] Univ Econ & Innovat Lublin, Lublin, Poland

[4] Lublin Univ Technol, Lublin, Poland

来源：

UBICOMP/ISWC '20 ADJUNCT: PROCEEDINGS OF THE 2020 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2020 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2020年

关键词：

cyber-physical system; Industry; 4.0; sensors; ultrasound tomography; inverse problem; machine learning; discrete cosine transformation;

D O I：

10.1145/3410530.3414381

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article presents a cyber-physical system for acquiring, processing and reconstructing images from measurement data. The technology is based on process tomography, intelligent sensors, machine learning, Big Data, Cloud Computing, as well as Internet of Things as a solution for industry 4.0. Industrial tomography allows observation of physical and chemical phenomena without the need for internal penetration, in a non-destructive way and allows monitoring of manufacturing processes in real time. The application contains a dedicated algorithm based on discrete cosine transformation to solve the inverse problem and a specialized intelligent system for tomographic measurements.

引用

页码：82 / 85

页数：4

共 5 条

[1] Image Reconstruction of Internal Defects in Wood Based on Segmented Propagation Rays of Stress Waves
Du, Xiaochen
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[3] A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings
Rymarczyk, Tomasz
Klosowski, Grzegorz
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Rymarczyk, Tomasz
Sikora, Jan
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