Results 1 to 10 of about 389,974 (269)
Xor-And-Inverter Graphs for Quantum Compilation
npj Quantum Information, 2022 Quantum compilation is the task of translating a high-level description of a quantum algorithm into a sequence of low-level quantum operations. We propose and motivate the use of Xor-And-Inverter Graphs (XAG) to specify Boolean functions for quantum ...
Giulia Meuli +2 more
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Near-channel classifier: symbiotic communication and classification in high-dimensional space
Brain Informatics, 2021 Brain-inspired high-dimensional (HD) computing represents and manipulates data using very long, random vectors with dimensionality in the thousands. This representation provides great robustness for various classification tasks where classifiers operate ...
Michael Hersche +4 more
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Integrity of Integrated Navigation Systems [PDF]
2018 IEEE Conference on Communications and Network Security (CNS), 2018 Computerized systems are revolutionizing modern ships’ bridges and maritime operations. Central components in this are Integrated Navigation Systems (INS) and Electronic Chart Display and Information Systems (ECDIS) which provide the maritime navigator with the ship’s position and displays it in electronic charts.
Lund, Mass Soldal +4 more
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SNR‐dependent drone classification using convolutional neural networks
IET Radar, Sonar & Navigation, 2022 Radar sensing offers a method of achieving 24‐h all‐weather drone surveillance, but in order to be maximally effective, systems need to be able to discriminate between birds and drones.
Holly Dale +5 more
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Preliminary design of aeroelastically tailored wing box structures with bend-twist coupling [PDF]
ITM Web of Conferences, 2019 Nowadays the composite materials have become the materials of choice to be used in the new aerospace structures that need to be not only larger and larger in size but also to be better performing in terms of aeroelastic responses inherent to thin-walled,
Mihaila-Andres Mihai +5 more
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Neural systems integration [PDF]
Neurocomputing, 2004 A need is identified to build models of the central nervous system that are semi-complete, applied within multiple contexts to multiple tasks, using methodologies that span multiple levels of abstraction. The issues and constraints in building such models are discussed with respect to completeness, validation, cost, scalability and robustness.
Michael P. Arnold +3 more
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IEEE Journal of Microwaves, 2023 Radar systems got very popular in sensing applications in the last two decades besides the traditional military sector. Nowadays, many applications favor multiple-input multiple-output (MIMO) radar over phased-array radar.
Jonathan Wittemeier +2 more
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SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring
Sensors, 2019 We report on a self-sustainable, wireless accelerometer-based system for wear detection in a band saw blade. Due to the combination of low power hardware design, thermal energy harvesting with a small thermoelectric generator (TEG), an ultra-low power ...
Michele Magno +6 more
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Fault-Adaptive Autonomy in Systems with Learning-Enabled Components
Sensors, 2021 Autonomous Cyber-Physical Systems (CPS) must be robust against potential failure modes, including physical degradations and software issues, and are required to self-manage contingency actions for these failures.
Daniel Stojcsics +4 more
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QUATERNIONIC INTEGRABLE SYSTEMS [PDF]
Symmetry and Perturbation Theory, 2003 Standard (Arnold-Liouville) integrable systems are intimately related to complex rotations. One can define a generalization of these, sharing many of their properties, where complex rotations are replaced by quaternionic ones. Actually this extension is not limited to the integrable case: one can define a generalization of Hamilton dynamics based on ...
Gaeta, G., Morando, P.
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