Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos PDF full book. Access full book title Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos by Janya-anurak, Chettapong. Download full books in PDF and EPUB format.
Author: Janya-anurak, Chettapong
Publisher: KIT Scientific Publishing
ISBN: 3731506424
Category : Electronic computers. Computer science
Languages : en
Pages : 248
Get Book Here
Book Description
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.
Author: Janya-anurak, Chettapong
Publisher: KIT Scientific Publishing
ISBN: 3731506424
Category : Electronic computers. Computer science
Languages : en
Pages : 248
Get Book Here
Book Description
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.
Author: Pfrommer, Julius
Publisher: KIT Scientific Publishing
ISBN: 373151253X
Category :
Languages : en
Pages : 210
Get Book Here
Book Description
In dieser Arbeit wird ein Ansatz entwickelt, um eine automatische Anpassung des Verhaltens von Produktionsanlagen an wechselnde Aufträge und Rahmenbedingungen zu erreichen. Dabei kommt das Prinzip der Selbstorganisation durch verteilte Planung zum Einsatz. - Most production processes are rigid not only by way of the physical layout of machines and their integration, but also by the custom programming of the control logic for the integration of components to a production systems. Changes are time- and resource-expensive. This makes the production of small lot sizes of customized products economically challenging. This work develops solutions for the automated adaptation of production systems based on self-organisation and distributed planning.
Author: Bullinger, Sebastian
Publisher: KIT Scientific Publishing
ISBN: 373151012X
Category : Computers
Languages : en
Pages : 194
Get Book Here
Book Description
"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.
Author: Herrmann, Christian
Publisher: KIT Scientific Publishing
ISBN: 3731507994
Category : Electronic computers. Computer science
Languages : en
Pages : 180
Get Book Here
Book Description
The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.
Author: Sommer, Lars Wilko
Publisher: KIT Scientific Publishing
ISBN: 3731511134
Category : Computers
Languages : en
Pages : 276
Get Book Here
Book Description
This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.
Author: Becker, Stefan
Publisher: KIT Scientific Publishing
ISBN: 3731510383
Category : Computers
Languages : en
Pages : 228
Get Book Here
Book Description
This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.
Author: Grinberg, Michael
Publisher: KIT Scientific Publishing
ISBN: 3731507811
Category : Electronic computers. Computer science
Languages : en
Pages : 296
Get Book Here
Book Description
This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.
Author: Qu, Chengchao
Publisher: KIT Scientific Publishing
ISBN: 3731508281
Category : Electronic computers. Computer science
Languages : en
Pages : 232
Get Book Here
Book Description
This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.
Author: Beyerer, Jürgen
Publisher: KIT Scientific Publishing
ISBN: 3731513048
Category :
Languages : en
Pages : 140
Get Book Here
Book Description
In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.
Author: Guan, Tianyi
Publisher: KIT Scientific Publishing
ISBN: 3731509784
Category : Computers
Languages : en
Pages : 320
Get Book Here
Book Description
