Article
Multidisciplinary Sciences
Yuyang Gu, Viksit Kumar, E. G. Sunethra K. Dayavansha, Scott Schoen Jr, Ernest Feleppa, Rimon Tadross, Michael H. Wang, Michael J. Washburn, Kai Thomenius, Anthony E. Samir
Summary: ADAPT is an acoustic diffraction-resistant adaptive profile technology that can generate a propagation-invariant beam with high flexibility. It has applications in various fields such as medicine, biology, and material science.
Article
Environmental Sciences
Talmon Alexandri, Roee Diamant
Summary: Underwater acoustic technologies are essential for tracking marine fauna behavior. This study focuses on optimizing the deployment positions of receivers to maximize the coverage area. The proposed method improves the localization coverage area by 30% in simulated sea environments, and demonstrates similar performance in a real sea environment.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Hongjian Chen, Yashu Chen, Chuyun Wan, Qianchun Deng
Summary: This study investigated the formation mechanism of polar polymeric triglycerides (TAGs) in palm oil, rapeseed oil, and sunflower oil, identifying the main structures of polar polymeric TAGs in each oil through experimental simulation and correlation analysis.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2021)
Article
Multidisciplinary Sciences
D. G. E. Gomes, C. A. Toth, H. J. Cole, C. D. Francis, J. R. Barber
Summary: The study reveals that birds and bats avoid whitewater river noise, with intense noise reducing bird foraging activity and causing bats to switch hunting strategies. The overlap between noise and song frequency predicts bird declines until high levels where other mechanisms appear important.
NATURE COMMUNICATIONS
(2021)
Article
Acoustics
Ahmed Sallam, Shima Shahab
Summary: In this study, an adaptive numerical algorithm for computationally efficient nonlinear acoustic holography is proposed. The algorithm adjusts its discretization parameters based on the harmonic content of the acoustic signal, enabling efficient local resolution of higher harmonics in areas of high nonlinearity while avoiding unnecessary resolution elsewhere. The algorithm also adapts to the signal's nonlinearity level, eliminating the need for prior reference simulations or information about the spatial distribution of the harmonic content.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2023)
Article
Fisheries
Natalie V. Klinard, Jordan K. Matley, Silviya V. Ivanova, Sarah M. Larocque, Aaron T. Fisk, Timothy B. Johnson
Summary: This study tracked the post-stocking survival and predation of a prey fish in Lake Ontario using acoustic telemetry predation tags. It found that lake trout was the main consumer of the prey fish, with a success rate of 89% in classification. The study demonstrated the usefulness of supervised learning techniques in understanding predator-prey dynamics and informing future management efforts.
JOURNAL OF FISH BIOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Kuai Yu, Yang Yang, Junzhong Wang, Gregory Hartland, Guo Ping Wang
Summary: High frequency acoustic vibrations of Au nanoplates were used to probe fluid properties through pump-probe microscopy experiments. The presence of viscoelastic effects in high-viscosity solvents was confirmed through the analysis of Brillouin oscillations. Detection and analysis of viscous damping in liquids are crucial for understanding energy dissipation mechanisms and developing applications of nanomechanical resonators for fluid environments.
Article
Engineering, Mechanical
Yahui Xue, Xiang Zhang
Summary: By deforming a soft mechanical metamaterial with a Poisson's ratio of -1, an underwater acoustic cloak can be automatically achieved, fulfilling the requirement of quasi-conformal mapping for cloak design. This self-adaptive acoustic cloak exhibits a wide frequency and angular bandwidth, providing a convenient avenue for designing various types of acoustic metamaterials.
EXTREME MECHANICS LETTERS
(2021)
Article
Computer Science, Information Systems
Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, Kyoung Mu Lee
Summary: In this paper, the problem of visual tracking is formulated as a semi-supervised continual learning problem. An adaptive continual meta-learning framework is proposed to simultaneously consider the initialization and online update processes. The proposed adaptive meta-learning strategy dynamically generates hyperparameters for fast initialization and online update, resulting in a more robust learning process. Moreover, the continual meta-learning approach based on knowledge distillation helps the tracker adapt to new examples while retaining its knowledge on previously seen examples.
Article
Computer Science, Information Systems
Wanlu Lei, Chenguang Lu, Yezi Huang, Jing Rao, Ming Xiao, Mikael Skoglund
Summary: This study explores a supervised learning approach to adaptively perform beam sweeping, which can improve cell capacity and reduce overhead consumption.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Automation & Control Systems
Zeyi Liu, Hong Xue, Hongjing Liang, Ying Wu
Summary: This paper investigates the cooperative adaptive dual-condition event-triggered tracking control problem for uncertain nonlinear nonstrict feedback multi-agent systems with nonlinear faults and unknown disturbances. A novel threshold update method and a distributed dual-condition event-triggered strategy are proposed to reduce communication bandwidth waste. The algebraic loop problem caused by non-affine nonlinear faults is addressed using a Butterworth low-pass filter, and unknown function problems are solved using neural network technology. The proposed control scheme achieves signal boundedness and tracking performance, as demonstrated by simulation results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Chenggang Wang, Shanying Zhu, Wenbin Yu, Lei Song, Xinping Guan
Summary: This paper addresses the adaptive prescribed performance tracking control of nonlinear input saturated systems, utilizing neural networks to handle model uncertainties and compensating errors and disturbances through Lyapunov synthesis. The proposed method ensures stability and performance of the systems.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Civil
Ki-In Na, Sunglok Choi, Jong-Hwan Kim
Summary: In this paper, an IMM-based adaptive target tracking method is proposed, which can adapt to various motion patterns and object types. Experimental results on synthetic and real datasets demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang
Summary: The paper proposes an adaptive region proposal scheme with feature channel regularization for robust object tracking. By integrating correlation filters and adaptively learned region proposals, an enhanced two-stream tracking framework is presented to address tracking failures and scale estimation problems. Extensive experimental validations demonstrate the effectiveness of the proposed method against state-of-the-art tracking algorithms.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Mechanics
Egor Morokov, Vadim Levin, Tatyana Ryzhova, Evgeny Dubovikov, Yulia Petronyuk, Igor Gulevsky
Summary: This work presents the experimental investigation of bending damage evolution in a laminated structure. The damage formation was detected and visualized using acoustic emission and high-frequency acoustic microscopy. The study reveals the relationship between AE activity, energy of AE pulses, and the loading curves, providing insights into the damage evolution in composite materials.
COMPOSITE STRUCTURES
(2022)
