Results 61 to 70 of about 2,639,032 (289)

Investigation of a smart noise barrier for dual active and passive control of construction noise

, 2023
49th International Congress and Exposition on Noise Control Engineering (INTERNOISE 2020): Advances in Noise and Vibration Control Technology: Seoul, Korea, 23-26 August 2020202312 bcchVersion of RecordOthersEnvironment and Conservation Fund of the Hong ...
Wang, J, Sun, JQ, Lai, SK, Zhang, Y, Leu, SY   +4 more
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Secure Hybrid Digital and Analog Precoder for mmWave Systems With Low-Resolution DACs and Finite-Quantized Phase Shifters

IEEE Access, 2019
Millimeter wave (mmWave) communication has been regarded as one of the most promising technologies for the future generation wireless networks because of its advantages of providing a ultra-wide new spectrum and ultra-high data transmission rate.
Ling Xu, Linlin Sun, Guiyang Xia, Tingting Liu, Feng Shu, Yijin Zhang, Jiangzhou Wang   +6 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Robust Synthesis Scheme for Secure Multi-Beam Directional Modulation in Broadcasting Systems

IEEE Access, 2016
Recently, directional modulation has become an active research area in wireless communications due to its security. Unlike existing research work, we consider a multi-beam directional modulation (MBDM) scenario with imperfect desired direction knowledge.
Feng Shu, Xiaomin Wu, Jun Li, Riqing Chen, Branka Vucetic   +4 more
doaj   +1 more source

Enhancing classification performance over noise and imbalanced data problems [PDF]

, 2012
This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core  

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Noise responses before and after noise abatement measures in a residential intervention project

, 2015
In a residential area exposed to road traffic noise a socio-acoustic longitudinal study was conducted to investigate the effects of a large intervention project on acoustical conditions and resident's noise responses.
Kihlman, Tor, Forss\ue9n, Jens, Gidlöf-Gunnarsson, Anita,, Öhrström, Evy, Gidl\uf6f-Gunnarsson, Anita, Kihlman, Tor,, Forssén, Jens, Gidlöf-Gunnarsson, Anita, Öhrström, Evy,, 6hrstr\uf6m, Evy, Forssén, Jens,   +10 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Differentiating noise and modulators in artificial neural networks [PDF]

, 1993
Research in Computational Neural Networks is currently taking place at many different levels; from coarse-grain symbolic models to fine-grain representations of neurons and cell processes. One feature that the different approaches share, is that they are all in relative infancy.
openaire   +2 more sources