Results 41 to 50 of about 22,986 (292)
Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
Advanced Engineering Materials, EarlyView.The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source
Target recognition techniques for multifunction phased array radar [PDF]
, 2010 This thesis, submitted for the degree of Doctor of Philosophy at University College London, is a discussion and analysis of combined stepped-frequency and pulse-Doppler target recognition methods which enable a multifunction phased array radar designed
French, A.
core
BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas,
J.-C. Michelin, C. Mallet, N. David
doaj +1 more source
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
Advanced Functional Materials, EarlyView.This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
User Activity Related Data Sets for Context Recognition [PDF]
, 2004 . The use of body-worn sensors for recognizing a person’s context has gained much popularity recently. For the development of suitable context recognition approaches and their evaluation, real-world data is essential.
Lukowicz, Paul +3 more
core
Densely-accumulated convolutional network for accurate LPI radar waveform recognition [PDF]
, 2021 This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks.
Nguyen, N. T. (Nhan Thanh) +6 more
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Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods
Sensors, 2020 Lightning waveform plays an important role in lightning observation, location, and lightning disaster investigation. Based on a large amount of lightning waveform data provided by existing real-time very low frequency/low frequency (VLF/LF) lightning ...
Jiaquan Wang +8 more
doaj +1 more source
Real-time Cardiac Massage Assessment Based on One-dimensional Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2020 For the assessment of the acceleration waveform of the external cardiac massage,the existing methods of calculating the depth of cardiac massage using the acceleration waveform integral have the problems of integral drift and error accumulation.On the ...
YIN Jiahao, LIU Shijie, BAO Yu, YANG Xuan, ZHU Ziwei
doaj +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010 [PDF]
, 2010 Through the present paper, a novel feature set for speaker recognition based on glottal estimate information is presented. An iterative algorithm is used to derive the vocal tract and glottal source estimations from speech signal.
Martínez Olalla, Rafael +4 more
core +1 more source