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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet

Mathematical Biosciences and engineering 2024年第2期21卷 2004-2023页

作者： Zhang, Shouming Zhang, Yaling Liao, Yixiao Pang, Kunkun Wan, Zhiyong Zhou, Songbin Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Institute of Intelligent Manufacturing Guangdong Academy of Science Guangdong Key Laboratory of Modern Control Technology Guangzhou510030 China

Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately predict the sound event and their occurrence locations. Aiming at this problem, we propose a Multiple Attention Fusion ResNet, which uses ResNet34 as the base network. Given the situation that the sound duration is not fixed, and there are multiple polyphonic and noise, we introduce the Gated Channel Transform to enhance the residual basic block. This enables the model to capture contextual information, evaluate channel weights, and reduce the interference caused by polyphony and noise. Furthermore, Split Attention is introduced to the model for capturing cross-channel information, which enhances the ability to distinguish the polyphony. Finally, Coordinate Attention is introduced to the model so that the model can focus on both the channel information and spatial location information of sound events. Experiments were conducted on two different datasets, TAU-NIGENS Spatial Sound Events 2020, and TAU-NIGENS Spatial Sound Events 2021. The results demonstrate that the proposed model significantly outperforms state-of-the-art methods under multiple polyphonic and noise-directional interference environments and it achieves competitive performance under a single polyphonic environment. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Deep learning

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Identification and modeling of a nonlinear vibrating beam for real-time control and estimation 25

Identification and modeling of a nonlinear vibrating beam fo...

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25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018

作者： Mikuláš, Erik Takács, Gergely Gulan, Martin Abdollahpouri, Mohammad Rohal'-Ilkiv, Boris Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Systems and Control Electrical Engineering Chalmers University of Technology Gothenburg Sweden

ISBN: (纸本)9781510868458

The real-time implementation of control and estimation algorithms on microcontrollers with limited memory and computational power requires a model that describes the dynamics of the vibrating system in sufficient detail, yet makes real-time deployment on sampled systems feasible. While extracting a model from finite element analysis is always possible, this approach yields models that are too complex to be evaluated in sample timing that is typical for vibration phenomena. In case of nonlinear vibrations, this is even more critical as state-of-the-art optimal control and estimation algorithms will have to evaluate a non-convex objective function. This paper introduces the modeling and system identification procedure of a nonlinear vibrating beam that results a real-time feasible mathematical model. Position and velocity measurements are made on a slender vibrating beam mounted equipped with a tip mass on a linear excitation stage using non-contact laser Doppler vibrometry. The measurement results are then fitted to two model candidates by using genetic algorithms to identify unknown parameters. Models are verified in simulation and their outputs are compared to experimental measurements. © 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. All rights reserved.

关键词： Genetic algorithms

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An adaptive Neuro-Fuzzy control approach for motion control of a spacecraft maneuver

An adaptive Neuro-Fuzzy control approach for motion control ...

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Lakshmi, K.V. Nabi, Mashuq Un Department of Electrical Engineering Indian Institute of Technology New Delhi-110016 India Faculty of Electrical Engineering Control and Automation Indian Institute of Technology New Delhi-110016 India

ISBN: (纸本)9780956715715

This paper proposes an adaptive Neuro-Fuzzy control approach to predict the torque required to control the attitude and rate in a spacecraft maneuver. In the real world environment, the mathematical models of many complex systems are often not accurate, due to the presence of continuous disturbances that effect their dynamic equations, in addition to errors in parameter knowledge. Consequently, methods that rely less on precise mathematical models are often preferred. One such Adaptive Machine Learning Technique is proposed for motion control in spacecraft maneuver. The controller uses an inverse learning Adaptive Neuro-Fuzzy Inference System (ANFIS) model only to train itself from certain desired trajectories and tries to mimic the same in its response. Ideally, these training trajectories are obtained by directly measuring the spacecraft manuever response for various test inputs. Once the system is fully trained, the manuever is tested on a new trajectory with uncertain plant dynamics. However, for algorithm validation, trajectories generated through simulations based on mathematical models assumed to be reasonably accurate, can also be used for the training purpose. This approach is used for design and implementation of an ANFIS controller which is shown to work satisfactorily. Further possible developments of the method are outlined. © 2012 Huazhong Univ of Sci & Tec.

关键词： Trajectories

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Simple control system for power converter connecting electrochemical dual-layer capacitors to DC link

Simple control system for power converter connecting electro...

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35th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2012

作者： Čihak, Tihomir Jakopović, Željko KONČAR - Electrical Engineering Institute Power Electronics and Control Department Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9789532330724

Electrochemical dual layer capacitors, also known by their market names Supercapacitors and Ultracapacitors are perspective technology for many uses, for instance in power saving circuits for electric propulsion systems, short-term energy storage systems, systems for extending battery lifetime and other similar uses. Although they can be used connected directly to a power converter DC link, in most cases they are connected to the DC link through a separate power converter. In use, such an EDLC and power converter assembly, due to EDLC specifics, must reliably operate in numerous operating points, unlike a typical power electronic converter. Such a power converter operation entails many control issues. Some of them are considered in this paper. © 2012 MIPRO.

关键词： Power converters

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Reconfigurable control for ship steering

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Proceedings of the Institution of Mechanical Engineers Part M: Journal of engineering for the Maritime Environment 2003年第1期217卷 25-29页

作者： Omerdic, E. Roberts, G.N. Vukic, Z. Mechatronics Research Centre University of Allt-yr-yn Campus PO Box 180 New-portNP20 5XR United States Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation University of Zagreb Zagreb Croatia

This paper is concerned with the application of a heuristic approach in the design of a fault-tolerant control system for ship steering. It proposes an advanced reconfigurable control system (RCS) for ship course changing/keeping and track keeping, robust to faults in actuator, gyrocompass and global positioning system (GPS) in the presence of disturbances (waves and currents). The proposed control scheme uses a reference model for compensation of signals from fault sensors and a compensator for reducing the loss of the control performance produced by a fault in the steering machine. In the case of the occurrence of the fault in one or more components, this control system minimizes loss in the control performance and gives enough time for operators to take appropriate action in order to reduce the risk of safety hazards and avoid severe consequences of the fault. The unavoidable penalty of degradation in control performance was found to be acceptable. © 2003 Institution of Mechanical Engineers.

关键词： Linear control systems

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Analysis of Equilibrium Point and Genetic Algorithm Design of Observer-Based PID controller for Membrane Bioreactor

Analysis of Equilibrium Point and Genetic Algorithm Design o...

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2021 International Automatic control Conference, CACS 2021

作者： Changsila, Yanita Banjerdpongchai, David Intelligent Control Automation of Process Systems Research Unit Dept. of Electrical Engineering Faculty of Engineering Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9781665444125

The operation of most wastewater treatment systems is an open-loop system. There is limited feedback control of membrane bioreactors (MBR) which makes it impossible to regulate the quality of the treated water. The objectives of this paper are twofold. First, we analyze the equilibrium point of the MBR nonlinear model. Second, we utilize output feedback control with state observer and design optimal PID controllers. We determine the optimum equilibrium point and derive a linearized model of MBR. Then, we design the state observer to estimate the non-measurable state using the pole placement method. Both the measurable output and estimated state are fed back through PID controller. The objectives of PID control consist of stabilization and performance improvement. Genetic Algorithm is applied to find the optimal PID parameters that minimize the integral of absolute error and satisfy the specified time-domain criteria. We apply the observer-based PID controller to the linearized model of MBR. Numerical results demonstrate the design of PID controller and the improvement of the closed-loop response and quality of the treated water. © 2021 IEEE

关键词： Bioreactors

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Moment-based Kalman Filter design for cell population balance models in batch fermentation processes ⁎

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IFAC-PapersOnLine 2021年第3期54卷 19-24页

作者： P. Jerono A. Schaum T. Meurer Chair of Automatic Control Faculty of Engineering Kiel University Kiel Germany

The observer design problem for the cell population estimation in a yeast batch process is addressed. The cell population balance model is described by a partial integro-differential equation coupled with a set of ordinary differential equations. Based on the observability property of the first moment of the cell distribution and the structural observability of the discretized cell population balance model, an extended Kalman Filter operating on online biomass measurements is designed for the model equations. The observer is validated using experimental data.

关键词： Cell population balance models partial integro-differential equation yeast fermentation process control Kalman filtering moments of a distribution

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Speed Profile Optimization for Autonomous Electric Bus in Urban Area: Based on Service Route Parameter in Thailand

Speed Profile Optimization for Autonomous Electric Bus in Ur...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Muankhaw, Theerapol Pathumwan Institute of Technology Faculty of Science and Technology Industrial Technology and Innovation Management Bangkok Thailand Bansomdejchaopraya Rajabhat University Faculty of Engineering and Industrial Technology Electrical Engineering and Automation Control Systems Bangkok Thailand Rajamangala University of Technology Faculty of Engineering Department of Electrical Engineering Thanyaburi Pathumthani Thailand

ISBN: (纸本)9798350344585

This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits. © 2023 IEEE.

关键词： Electric buses

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Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations 13th

Learning Image-Based Contaminant Detection in Wool Fleece fr...

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13th International Conference on Computer Vision Systems, ICVS 2021

作者： Patten, Timothy Alempijevic, Alen Fitch, Robert Robotics Institute Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia Automation and Control Institute Faculty of Electrical Engineering and Information Technology TU Wien Vienna1040 Austria

ISBN: (纸本)9783030871550

This paper addresses the problem of detecting natural contaminants in freshly shorn wool fleece in RGB images using deep learning-based semantic segmentation. The challenge of inconsistent annotation is overcome by learning the probability of contamination as opposed to a discrete class. From the continuous value predictions, contaminated regions can be extracted by selectively thresholding on the probability of contamination. Furthermore, the imbalance of the class distributions is accounted for by adaptively weighting each pixel’s contribution to the loss function. Results show that the adaptive weight improves the prediction accuracy and overall outperforms learning an approximated representation by quantising the distributions. © 2021, Springer Nature Switzerland AG.

关键词： Wool

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International Electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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