A bionic arm is a robotic hand that can be controlled manually or by machines. It resembles and acts like a human hand. It makes use of AI technology to make decisions and control other hand movements. The primary fun...
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The most widely used energy storage system in current industrial applications and commercialization is Battery Energy Storage System (BESS). Due to its fast response capability, BESS has been accepted as an energy sto...
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Completely driverless vehicles can only be used in areas with little traffic. Autonomous vehicles will shortly be piloted in urban traffic alongside human-driven vehicles. When an autonomous vehicle is used on a highw...
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High voltage measurements require precision high voltage instruments for dielectric measurements and for other high voltage applications. The present work requires linear, high voltage, and high-frequency bandwidth su...
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作者:
Abbas, AminaBouttout, FaridDjellid, AsmaUniversity of Bordj Bou Arreridj
Laboratory of Electronics and Advanced Telecommunications -LEAT Ubba Faculty of Sciences and Technology Department of Electronics Bordj Bou Arreridj Algeria University of m'Sila
Laboratory of Electrical Engineering -LEE- U. m'Sila Faculty of Technology Department of Electronics M'sila Algeria
In this paper, we present the design of a compactsized dual-band implantable PIFA antenna for biomedical applications. The antenna's overall size is 8× 8× 0.635 mm3 and radiates in the ISM band with the ...
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Target detection has been widely used in fields such as intelligent security and autonomous driving. However, existing computationally heavy target detection algorithms based on deep learning can only work on GPU and ...
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The dynamic wireless power transfer (DWPT) system allows that the vehicles can be re-powered during operations. The DWPT technology will significantly make the transportation more efficient, and users are not worried ...
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ISBN:
(纸本)9781665486682
The dynamic wireless power transfer (DWPT) system allows that the vehicles can be re-powered during operations. The DWPT technology will significantly make the transportation more efficient, and users are not worried about being stuck in the road due to continuous on-road powering. The main challenges in the practical application of DWPT system are unstable coupling, limited system efficiency and low system stability. In order to solve these issues, the key research effort concentrates on ferrite structure, compensation network and control method for a DWPT system. Based on the modularized EV and 3D marine robot charging systems, a universally-applicable ferrite optimization algorithm and adaptive control methods are discussed. In addition, the sensing technology based on the DWPT is also investigated. The essential characteristics of the proposed methods are reduced complexity (e.g., no position sensor or communication unit involved) and improved dynamic performance of the system.
Wind generation significantly facilitates the decar-bonization of electric sector, but its fluctuation and intermittency threatens the power system operations. Energy storage is a good partner of wind generation to sm...
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With the rapidly expanding applications of artificial intelligence (AI), the quest for hardware acceleration to foster high-speed and energy-efficient AI computation has become ever more important. In this work, we fi...
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ISBN:
(纸本)9798350325997
With the rapidly expanding applications of artificial intelligence (AI), the quest for hardware acceleration to foster high-speed and energy-efficient AI computation has become ever more important. In this work, we first explore the performance and energy advantages of employing classical AI acceleration with conventional systolic multiply-accumulate (MAC) arrays. We then highlight the growing importance of monolithic 3D integration as a transformative hardware acceleration strategy, moving beyond the constraints of classical von Neumann architectures. We also discuss how brain-inspired hyperdimensional computing (HDC) offers an exciting avenue for overcoming the power-hungry requirements often associated with MAC arrays, which are inevitable in deep learning hardware. Addressing the limitations of von Neumann architectures, we present the potential of monolithic 3D integration to enable ultra-dense Processing-in-Memory (PiM) layers stacked on top of high-performance CMOS logic. This novel approach offers to enhance computational performance. Recognizing the need for compatibility with low thermal budgets, we identify ferroelectric thin-film transistors (FeTFT) as a promising candidate for back-end-ofline (BEOL) fabrication. We highlight recent advances in BEOL FeTFT technology and demonstrate how technology/algorithm co-optimization plays a crucial role in the successful realization of reliable brain-inspired HDC on potentially unreliable FeTFT-based PiM layers. Our results showcase the potential of these innovations for the development of next-generation, energyefficient AI hardware.
The technology exhibits the development of novel systems that enable control and monitoring regardless of distance or time. The internet of things helps people live and work smarter, as well as gain complete control o...
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