A dimensionality reduction approach in helicopter level flight performance testing

Evaluation of the power required in level flight is essential to any new or modified helicopter performance flight-testing effort. The conventional flight-test method is based on an overly simplification of the induced and profile power components required for a helicopter in level flight. This simplistic approach incorporates several...

performance of the low-rank TT-SVD for large dense tensors on modern multicore CPUs

There are several factorizations of multidimensional tensors into lower-dimensional components, known as ``tensor networks."" We consider the popular ``tensor-train"" (TT) format and ask, How efficiently can we compute a low-rank approximation from a full tensor on current multicore CPUs? Compared to sparse and dense linear algebra, kernel...

Skipping The Jacobian: (Hyper) Reduced Order Models For Moving Meshes

We present a reduced order model (ROM) for a one-dimensional nonlinear gas dynamics problem: the isentropic piston. The main body of the PDE, the geometrical definition of the mesh nodes, and the boundary conditions are parametrized. The full order model is obtained with a Galerkin finite element discretization, under the Arbitrary Lagrangian...

Approximate basis and a priori closure models for energy-conserving reduced order modeling of fluid flows

Model order reduction (MOR) has been a field of active research in the past twenty years, more recently also in fluid dynamics. The main advantage of MOR is computational cost reduction, which, along with equally important accuracy, constitute main objective in the MOR community.<br/>A main ongoing issue is that data volumes in fluid flow...

Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging

Ultrasound imaging of the vasculature has major significance for the detection of cardiovascular diseases and cancer. However, limited spatial resolution or long acquisition times of existing techniques limit the visualization of the microvascular structures. Enforcing sparsity in the underlying vasculature as well as exploiting statistical...

Development of radar-based vital sign detection and indoor target localization algorithms

In the last two decades, radar-based contactless vital signs monitoring (heartbeat and respiration rate) has raised increasing interest as an emerging approach for healthcare and complementary for other more established technologies. Heartbeat and respiration induce only very subtle rhythmic changes in the reflected radar signature, whereas the...

Improving Ultrafast Doppler Imaging using Subspace Tracking

High frame rate Doppler ultrasound imaging provides a new way to image blood motion at thousands of frames per second. It has gained popularity due to its high spatio-temporal resolution, which is re- quired to distinguish blood motion from clutter signals caused by slow moving tissue. Since the flow of blood inside the brain is coupled to...

An Investigation of the Medical Ultrasound Image Sparse Spaces used for the Model-Based Imaging

In this thesis, we investigate a sparse basis for ultrasound images, so that we can use sparse regularization in imaging. Actually, there are few previous researches explicitly demonstrating that medical ultrasound images can be sparsified for some dictionary. We consider various orthogonal transforms such as wavelet transforms, cosine...

A tensor approach to linear parameter varying system identification

Planetary gears feature extraction and fault diagnosis method based on VMD and CNN

Given local weak feature information, a novel feature extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value decomposition (SVD), and convolutional neural network (CNN) is proposed. VMD was used to decompose the original vibration signal to mode components. The mode matrix was...

Blind beamforming techniques for global tracking systems

After the development in the past 120 years since the invention of the first radio transmission, worldwide wireless communication systems are nowadays part of daily life. Behind the shining and astonishing achievement of modern communication systems, the exhaustion of existing frequency spectrum resources has been a concern. In higher frequency...

Java/JNI/C/Fortran based HSVD/HLSVD custom plugins for the jMRUI software system: Development, installation and usage

This work was done in the context of FP7 - PEOPLE Marie Curie Initial Training Network Project PITN-GA-2012-316679-TRANSACT. This report describes the development, installation and usage of the HSVD and HLSVD plugin for the jMRUI software system. The latter system is maintained by the TRANSACT EU project. The plugins aim at providing information...

Large Scale Solar Power Integration in Distribution Grids: PV Modelling, Voltage Support and Aggregation Studies

Long term supporting schemes for photovoltaic (PV) system installation have led to accommodating large numbers of PV systems within load pockets in distribution grids. High penetrations of PV systems can cause new technical challenges, such as voltage rise due to reverse power flow during light load and high PV generation conditions. Therefore,...