Results 11 to 20 of about 447,541 (315)

Understanding Switched-Flux Machines: A MMF-Permeance Model and Magnetic Equivalent Circuit Approach

open access: yesIEEE Access, 2022
Due to their particular structure, switched-flux permanent magnet machines have become a very interesting alternative for many applications. This is why some recent studies have been focused in the understanding of the operating mechanism of these ...
Imanol Eguren   +4 more
doaj   +1 more source

Quantum machine learning with adaptive linear optics [PDF]

open access: yesQuantum, 2021
We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via estimation of quantum states overlap. We design implementations
Ulysse Chabaud   +2 more
doaj   +1 more source

Comparative Study of Novel Doubly-Fed Linear Switched Flux Permanent Magnet Machines With Different Primary Structures

open access: yesIEEE Access, 2020
To enhance the thrust force density and move a part of copper loss from the primary to the secondary of linear switched flux permanent magnet machines (LSFPMMs), this paper proposes a novel kind of doubly-fed LSFPMMs (DFLSFPMMs) by adding another set of ...
Lijian Wu   +4 more
doaj   +1 more source

Thrust ripple suppression methods for the flux-switching permanent magnetic machine

open access: yes电力工程技术, 2022
Linear flux-switching permanent magnet (LFSPM) machines have high power density and simple robust stator structure,which shows significant potential in long stroke applications.
HAO Wenjuan, WANG Yu
doaj   +1 more source

Novel Partitioned Stator Flux-Switching Permanent Magnet Linear Machine: Design, Analysis, and Optimization

open access: yesMachines, 2023
Over the past few decades, flux-switching permanent magnet (FSPM) machines have gained more attention. A novel flux-switching permanent magnet linear machine with a partitioned stator (FSPMLM-PS), which has the advantages of high thrust force density and
Saira Tariq   +4 more
doaj   +1 more source

Machines Explaining Linear Programs

open access: yesCoRR, 2022
Main paper: 9.5 pages, References: 2.5 pages, Supplement: 6 pages.
David Steinmann   +3 more
openaire   +2 more sources

Dynamic Characteristics and Demonstration of an Integrated Linear Engine Generator with Alternative Electrical Machines

open access: yesEnergies, 2022
A linear engine generator with a compact double-acting free piston mechanism allows for full integration of the combustion engine and generator, which provides an alternative chemical-to-electrical energy converter with a higher volumetric power density ...
Ramin Moeini Korbekandi   +5 more
doaj   +1 more source

Locally Linear Factorization Machines [PDF]

open access: yesProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Factorization Machines (FMs) are a widely used method for efficiently using high-order feature interactions in classification and regression tasks. Unfortunately, despite increasing interests in FMs, existing work only considers high order information of the input features which limits their capacities in non-linear problems and fails to capture the ...
Chenghao Liu   +4 more
openaire   +1 more source

Designing and Testing Composite Energy Storage Systems for Regulating the Outputs of Linear Wave Energy Converters

open access: yesEnergies, 2017
Linear wave energy converters generate intrinsically intermittent power with variable frequency and amplitude. A composite energy storage system consisting of batteries and super capacitors has been developed and controlled by buck-boost converters.
Zanxiang Nie   +6 more
doaj   +1 more source

Encodings of Turing machines in linear logic [PDF]

open access: yesMathematical Structures in Computer Science, 2020
AbstractThe Sweedler semantics of intuitionistic differential linear logic takes values in the category of vector spaces, using the cofree cocommutative coalgebra to interpret the exponential and primitive elements to interpret the differential structure.
James Clift, Daniel Murfet
openaire   +3 more sources

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