This paper proposes using Yet another mobile network (YAMNet) to detect engine noise from ships within the underwater soundscape. This novel approach combines deep learning with sound classification techniques to accu...
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ISBN:
(数字)9798331534189
ISBN:
(纸本)9798331534196
This paper proposes using Yet another mobile network (YAMNet) to detect engine noise from ships within the underwater soundscape. This novel approach combines deep learning with sound classification techniques to accurately identify and categorize engine noises from various vessels in the marine environment. It holds significant potential for marine ecological protection, ship management, and noise pollution control applications. YAMNet is a deep learning model based on the MobileNet architecture, designed for audio event detection and classification. MobileNet is a lightweight convolutional neural network (CNN) known for its high computational efficiency and compactness, making it suitable for execution on resource-constrained Internet of Things (IoT) devices through edge computing. YAMNet was originally designed to effectively process audio data from various environments by converting sound signals into spectrograms, which are then processed through the deep learning network for feature extraction and classification. This enables YAMNet to quickly and accurately recognize various audio events, such as natural sounds, mechanical noises, and human activities.
Artificial intelligence (AI) is boosting the development of complex functionalities in the automotive domain, paving the way for autonomous decision-making capabilities of vehicles. However, integrating such complex f...
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ISBN:
(数字)9781665477635
ISBN:
(纸本)9781665477642
Artificial intelligence (AI) is boosting the development of complex functionalities in the automotive domain, paving the way for autonomous decision-making capabilities of vehicles. However, integrating such complex functionalities at the system level is challenging due to the short time to market with limited development, verification, and validation periods. Moreover, automotive applications require compliance with strict safety regulations, which demands effective strategies to ensure timely development while allowing thorough dependability evaluations. This work addresses the system-level reliability of automotive applications by proposing a strategy named TIARA (Two-step IntegrAted Reliability Assessment) to assess the impact of hardware faults (modeled as soft errors) on AI-based perception tasks. Our strategy allows for the exploration and evaluation of algorithms, driving controllers, and critical operational scenarios, considering the effects of faults affecting the hardware up to the vehicle level. To tame the huge computational complexity, TIARA first exploits a static analysis to estimate the fault vulnerabilities and identifies the most critical code blocks. Then, the most critical application blocks (susceptible to faults from hardware) are targeted to evaluate the fault's impact on the vehicle dynamics and determine their effect at the system level, combining perception, control, and driving features. Our experimental results, obtained on a test case corresponding to a Lane Centering Assistance application based on the YoloP model and under different driving scenarios, show the feasibility and effectiveness of the proposed approach.
Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover...
Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.
With the proposal of carbon peak and carbon neutrality targets and the construction of a new power system, improving energy efficiency and reducing carbon emissions have become the key to the sustainable development o...
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With the growing presence of semiconductor devices in healthcare, automotive, and consumer electronics, Automatic Test Equipment (ATE) systems play an increasingly vital role in ensuring quality and reliability during...
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ISBN:
(数字)9781665477635
ISBN:
(纸本)9781665477642
With the growing presence of semiconductor devices in healthcare, automotive, and consumer electronics, Automatic Test Equipment (ATE) systems play an increasingly vital role in ensuring quality and reliability during validation. Despite their importance, ATE systems often operate in isolation from other manufacturing processes, limiting interoperability and integration potential. Consequently, fully incorporating ATE systems within the Industry 4.0 framework remains a largely unaddressed challenge. To bridge this gap, we propose adopting Open Platform Communications Unified Architecture (OPC UA), the industry de-facto standard communication protocol for machines, with an accompanying specification tailored to ATE systems. We developed and validated our information model on an advanced ATE system, demonstrating its practical application. The results showcase the successful integration of the ATE system into a fully-fledged Industrial Computer Engineering (ICE) laboratory demonstrator. This study validates the effectiveness of our model in a real-world scenario and highlights the significance of our integration approach within the context of Industry 4.0.
An investigation and outline of Metacontrol and Decontrol in Metaverses for controlintelligence and knowledge automation are *** control with prescriptive knowledge and parallel philosophy is proposed as the starting...
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An investigation and outline of Metacontrol and Decontrol in Metaverses for controlintelligence and knowledge automation are *** control with prescriptive knowledge and parallel philosophy is proposed as the starting point for the new control philosophy and technology,especially for computationalcontrol of metasystems in cyberphysical-social *** argue that circular causality,the generalized feedback mechanism for complex and purposive systems,should be adapted as the fundamental principle for control and management of metasystems with metacomplexity in ***,an interdisciplinary approach is suggested for Metacontrol and Decontrol as a new form of intelligent control based on five control metaverses:MetaVerses,MultiVerses,InterVerses,TransVerse,and DeepVerses.
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