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

Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication PDF Author: Han, Bin
Publisher: KIT Scientific Publishing
ISBN: 3731506548
Category :
Languages : en
Pages : 194

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Book Description

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

Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication PDF Author: Han, Bin
Publisher: KIT Scientific Publishing
ISBN: 3731506548
Category :
Languages : en
Pages : 194

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Book Description


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

Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication PDF Author: Bin Han
Publisher:
ISBN: 9781013283185
Category : Computers
Languages : en
Pages : 186

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Book Description
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

Design and analysis of a content-based image retrieval system PDF Author: Hernández Mesa, Pilar
Publisher: KIT Scientific Publishing
ISBN: 3731506920
Category :
Languages : en
Pages : 270

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

Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles PDF Author: Alonso, Damián Ezequiel
Publisher: KIT Scientific Publishing
ISBN: 373150670X
Category :
Languages : en
Pages : 190

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Machine Learning for Camera-Based Monitoring of Laser Welding Processes

Machine Learning for Camera-Based Monitoring of Laser Welding Processes PDF Author: Hartung, Julia
Publisher: KIT Scientific Publishing
ISBN: 3731513331
Category :
Languages : en
Pages : 258

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Book Description
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

Light Field Imaging for Deflectometry PDF Author: Uhlig, David
Publisher: KIT Scientific Publishing
ISBN: 3731513064
Category :
Languages : en
Pages : 284

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Book Description
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

Hyperspectral Image Unmixing Incorporating Adjacency Information PDF Author: Bauer, Sebastian
Publisher: KIT Scientific Publishing
ISBN: 3731507889
Category : Technology & Engineering
Languages : en
Pages : 236

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Book Description
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

Computational, label, and data efficiency in deep learning for sparse 3D data PDF Author: Li, Lanxiao
Publisher: KIT Scientific Publishing
ISBN: 3731513463
Category :
Languages : en
Pages : 256

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Book Description
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

Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations PDF Author: Bächle, Matthias
Publisher: KIT Scientific Publishing
ISBN: 3731512521
Category : Technology & Engineering
Languages : en
Pages : 218

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Book Description
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.

Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images PDF Author: Wetzel, Johannes
Publisher: KIT Scientific Publishing
ISBN: 3731511770
Category : Technology & Engineering
Languages : en
Pages : 204

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Book Description
In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast the problem of multi-view people detection in overlapping depth images as an inverse problem and present a generative probabilistic framework to jointly exploit the temporal multi-view image evidence.