Results 21 to 30 of about 163,397 (237)

APPLICATION OF PHYSICAL AND TECHNICAL METHODS FOR IDENTIFYING WIRE RESISTORS’ FAILURES CAUSES

Известия высших учебных заведений. Поволжский регион:Технические науки, 2020
Background. The object of the study is the failure of wire resistors caused by various types of defects in parts, components, and materials used in the production of resistive sensors.
A. Ju. Dorosinskij
doaj   +1 more source

Adaptive Hoyer-L-Moment Envelope Spectrum: A Method for Robust Demodulation of Ship-Radiated Noise in Low-SNR Environments

Sensors
Propeller noise is the main source of ship-radiated noise. Extracting and analyzing the modulation characteristics from the propeller noise plays a crucial role in classifying and identifying vessel targets.
Ruizhe Zhang, Qingcui Wang, Shuanping Du
doaj   +1 more source

Establishing a Multibeam Sonar Evaluation Test Bed near Sidney, British Columbia [PDF]

, 2012
The Canadian Hydrographic Service (CHS), Naval Oceanographic Office (NAVOCEANO) and the Ocean Mapping Group of the University of New Brunswick (OMG) collaborated on establishing a multibeam sonar test bed in the vicinity of the Institute of Ocean ...
Beaudoin, Jonathan, Clarke, J.E. Hughes, Hare, Rob, Whittaker, Clay   +3 more
core   +2 more sources

Diffusion Coefficient and Viscosity of Methyl Viologen Electrolyte Estimation Based on a Kinetic Monte Carlo Computational Approach Coupled with the Mean Square Displacement Method

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
A novel and comprehensive 3D‐resolved kinetic Monte Carlo model coupled with mean square displacement analysis is introduced. This computational approach allows to explore, for the first time, the concentration and the state of charge effects on ionic diffusion coefficient and viscosity in methyl viologen‐based electrolytes used in organic redox flow ...
Jia Yu, Emmanuel Baudrin, Alejandro A. Franco   +2 more
wiley   +1 more source

Active sonar target recognition method based on multi‐domain transformations and attention‐based fusion network

IET Radar, Sonar & Navigation
The classification and recognition of underwater targets by an active sonar system remain challenging and complex. Traditional methods have limited classification performance in time and spatially varying ocean channels.
Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang   +3 more
doaj   +1 more source

The Use of Multi-beam Sonars to Image Bubbly Ship Wakes [PDF]

, 2005
During the past five years, researchers at Penn State University (PSU) have used upward-looking multi-beam (MB) sonar to image the bubbly wakes of surface ships.
Bradley, David L, Culver, R Lee, Weber, Thomas C.   +2 more
core   +1 more source

Applying a Systems Thinking Approach to Circular Economy Transitions: Insights From the Use of a Sociotechnical Systems Approach Within the UK Hospitality Sector

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite more than 20 years of research into sustainable tourism, the environmental impact of the UK hospitality sector remains high. A growing body of research into the concept of a circular economy (CE) demonstrates that transitioning to this way of working has significant benefits both for the environment and business outcomes.
Danielle Farrow, Hannah Collis, Fiona Charnley   +2 more
wiley   +1 more source

Matched cross‐spectrum phase processing for source depth estimation in deep water

IET Radar, Sonar & Navigation
Zhou et al. (2022) proposed a method for instantaneous source depth estimation in deep water using matched beam intensity processing (MBIP) that leverages depth‐related oscillatory features arising from Lloyd's mirror interference in the frequency domain
Lisheng Zhou, Xiaohong Yang, Guangying Zheng, Fangwei Zhu, Fangyong Wang   +4 more
doaj   +1 more source

Simulated Research on Passive Sonar Range Using Different Hydrographic Conditions

MATEC Web of Conferences, 2015
As an example using the passive sonar, it calculated the quality factor of passive sonar using the sonar equation. The sound field was calculated under different depth and range using multiform hydrographic conditions.
Han Jing, Zhang XueGang, Meng ChunXia, Cao Feng   +3 more
doaj   +1 more source

Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body

Sensors, 2019
Auto-detecting a submerged human body underwater is very challenging with the absolute necessity to a diver or a submersible. For the vision sensor, the water turbidity and limited light condition make it difficult to take clear images.
Huu-Thu Nguyen, Eon-Ho Lee, Sejin Lee
doaj   +1 more source