Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication

by Han, Bin
Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication
Author: Han, Bin
Publisher: KIT Scientific Publishing
Total Pages: 194
Release: 2017-06-06
Genre: Technology (General)
ISBN: 3731506548
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The demand for smart grid and smart home applications has raised the recent interest in power line communication (PLC) technologies, and has driven a broad set of deep surveys in low-voltage (LV) power line channels. This book proposes a set of novel approaches, to characterize and to emulate LV power line channels in the frequency range from0.15to 10 MHz, which closes gaps between the traditional narrowband (up to 500 kHz) and broadband (above1.8 MHz) ranges.

Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication

by Bin Han
Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication
Author: Bin Han
Publisher:
Total Pages: 186
Release: 2020-10-09
Genre: Computers
ISBN: 9781013283185
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The demand for smart grid and smart home applications has raised the recent interest in power line communication (PLC) technologies, and has driven a broad set of deep surveys in low-voltage (LV) power line channels. This book proposes a set of novel approaches, to characterize and to emulate LV power line channels in the frequency range from0.15to 10 MHz, which closes gaps between the traditional narrowband (up to 500 kHz) and broadband (above1.8 MHz) ranges. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Design and analysis of a content-based image retrieval system

by Hernández Mesa, Pilar
Design and analysis of a content-based image retrieval system
Author: Hernández Mesa, Pilar
Publisher: KIT Scientific Publishing
Total Pages: 268
Release: 2017-10-18
Genre: Technology (General)
ISBN: 3731506920
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The automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated.

Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles

by Alonso, Damián Ezequiel
Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles
Author: Alonso, Damián Ezequiel
Publisher: KIT Scientific Publishing
Total Pages: 190
Release: 2017-09-15
Genre: Technology (General)
ISBN: 373150670X
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This work introduces a novel wireless approach for the data transmission within automotive battery management systems. The main target is the reduction of the wiring harness deployed in a battery. The characteristics of the wireless in-battery channel are investigated by means of measurements and software-based electromagnetic simulations. Different types of antennas and frequency bands are analyzed. The performance of the proposed system is evaluated by means of simulations and prototypes.

Machine Learning for Camera-Based Monitoring of Laser Welding Processes

by Hartung, Julia
Machine Learning for Camera-Based Monitoring of Laser Welding Processes
Author: Hartung, Julia
Publisher: KIT Scientific Publishing
Total Pages: 258
Release: 2024-03-08
Genre:
ISBN: 3731513331
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The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.

Light Field Imaging for Deflectometry

by Uhlig, David
Light Field Imaging for Deflectometry
Author: Uhlig, David
Publisher: KIT Scientific Publishing
Total Pages: 284
Release: 2023-07-14
Genre:
ISBN: 3731513064
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Optical measurement methods are becoming increasingly important for high-precision production of components and quality assurance. The increasing demand can be met by modern imaging systems with advanced optics, such as light field cameras. This work explores their use in the deflectometric measurement of specular surfaces. It presents improvements in phase unwrapping and calibration techniques, enabling high surface reconstruction accuracies using only a single monocular light field camera.

Hyperspectral Image Unmixing Incorporating Adjacency Information

by Bauer, Sebastian
Hyperspectral Image Unmixing Incorporating Adjacency Information
Author: Bauer, Sebastian
Publisher: KIT Scientific Publishing
Total Pages: 236
Release: 2018-07-18
Genre: Technology & Engineering
ISBN: 3731507889
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While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials' spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.

Computational, label, and data efficiency in deep learning for sparse 3D data

by Li, Lanxiao
Computational, label, and data efficiency in deep learning for sparse 3D data
Author: Li, Lanxiao
Publisher: KIT Scientific Publishing
Total Pages: 256
Release: 2024-05-13
Genre:
ISBN: 3731513463
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Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.

Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations

by Bächle, Matthias
Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations
Author: Bächle, Matthias
Publisher: KIT Scientific Publishing
Total Pages: 218
Release: 2023-01-09
Genre: Technology & Engineering
ISBN: 3731512521
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This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below the sampling time. Therefore, the methods can be applied particularly well for transit-time ultrasonic flow measurements, since the problem of interfering signals is especially prominent in this application.