Results 21 to 30 of about 21,051 (188)

Target-depth estimation in active sonar

, 2016
International audienceIn active sonar, the objectives are to detect, localize and classify an underwater target. Azimuth and range are often used in anti-submarine warfare to localize targets.
Doisy, Yves, Ioana, Cornel, Josso, Nicolas, Mars, Jerome,, Mours, Alexis   +4 more
core   +4 more sources

ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]

, 1998
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A., Gaudiano, Paolo, Streilein, William W.   +2 more
core   +2 more sources

Bistatic Localization of Objects in Very Shallow Water

IEEE Access, 2019
Bistatic or multi-static systems use spatially distributed sources and/or receivers to ensonify scattering objects over a distance to obtain the acoustic images of individual targets for classification purposes. The targets need to be localized first and
Ting Zhang, T. C. Yang, Wen Xu
doaj   +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

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

Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure

IEEE Access
We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang, Geunhwan Kim, Wooyoung Hong, Youngmin Choo   +3 more
doaj   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Active Classification: Theory and Application to Underwater Inspection [PDF]

, 2011
We discuss the problem in which an autonomous vehicle must classify an object based on multiple views. We focus on the active classification setting, where the vehicle controls which views to select to best perform the classification.
Hollinger, Geoffrey A., Mitra, Urbashi, Sukhatme, Gaurav S.   +2 more
core   +2 more sources

Data augmentation based on highlight image models of underwater maneuvering target

Xibei Gongye Daxue Xuebao
With the development of underwater acoustic countermeasure technology, deep learning is applied to recognize echo geometry features of underwater targets, but it faces the problem of sample scarcity.
LIU Xiaochun, YANG Yunchuan, HU Youfeng, YANG Xiangfeng, LI Yongsheng, XIAO Lin   +5 more
doaj   +1 more source

Fitness Activity Recognition on Smartphones Using Doppler Measurements

Informatics, 2018
Quantified Self has seen an increased interest in recent years, with devices including smartwatches, smartphones, or other wearables that allow you to monitor your fitness level.
Biying Fu, Florian Kirchbuchner, Arjan Kuijper, Andreas Braun, Dinesh Vaithyalingam Gangatharan   +4 more
doaj   +1 more source