Results 91 to 100 of about 1,060,009 (254)

Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video

Information
Classic video compression methods usually suffer from long encode time and requires large memories, making it hard to deploy on edge devices; thus, video compressive sensing, which requires less resources during encoding, is receiving more attention.
Lisha Gao, Zhoujun Ma, Shuo Han, Tiancheng Zhao, Qingcheng Liu, Zhangjie Fu   +5 more
doaj   +1 more source

Passive Source Localization Using Compressive Sensing

Sensors, 2019
This paper presents an underwater passive source localization method by forming an underdetermined linear inversion problem. The signal strength on a specified grid is evaluated using sparse reconstruction algorithms by exploiting the spatial sparsity of
Hangfang Zhao, M. Jehanzeb Irshad, Huihong Shi, Wen Xu   +3 more
doaj   +1 more source

Compressive hyperspectral imaging by remote sensing for soil and environmental analysis

, 2023
LAUREA MAGISTRALEQuesta tesi studia l'applicazione della tecnica di compressive sensing nell'analisi del suolo e dell'ambiente, utilizzando tecniche di telerilevamento.
Del Mastro, Alessia
core  

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Face hallucination via compressive sensing

Journal of Measurement Science and Instrumentation, 2016
Face hallucination or super-resolution is an inverse problem which is underdetermined,and the compressive sensing（CS）theory provides an effective way of seeking inverse problem solutions.In this paper,a novel compressive sensing based face hallucination ...
YANG Xue-feng, CHENG Yao-yu
doaj  

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification

Journal of Applied Engineering and Technological Science
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar   +4 more
doaj   +1 more source

Impact of MgO Additions on the Oxidation Resistance and Compression Behavior of Vanadium Alloys

Advanced Engineering Materials, EarlyView.
An increase in oxidation resistance at 600 °C is achieved for alloys containing more than 2.5 wt.% MgO. It has been established that, along with V2O5, MgO6V2, and Mg2O7V2 are formed, which are presumed to enhance oxidative stability. Furthermore, the possible transformation of Mg‐vanadates through reaction with CO2, which presumably occurs in this ...
Ievgen Solodkyi, Mathias Galetz, Georg Hasemann, Fabian Lanoy, Emma White, Manja Krüger   +5 more
wiley   +1 more source

K-cluster-valued compressive sensing for imaging

EURASIP Journal on Advances in Signal Processing, 2011
The success of compressive sensing (CS) implies that an image can be compressed directly into acquisition with the measurement number over the whole image less than pixel number of the image.
Xu Mai, Lu Jianhua
doaj