Results 71 to 80 of about 6,745,331 (273)

Tensor-based trapdoors for CVP and their application to public key cryptography [PDF]

open access: yes, 1999
We propose two trapdoors for the Closest-Vector-Problem in lattices (CVP) related to the lattice tensor product.
Jean-Pierre Seifert   +3 more
core   +1 more source

Research on 3D point cloud alignment algorithm based on SHOT features.

open access: yesPLoS ONE
To overcome the problem of the high initial position of the point cloud required by the traditional Iterative Closest Point (ICP) algorithm, in this paper, we propose a point cloud registration method based on normal vector and directional histogram ...
Zheng Fu   +4 more
doaj   +1 more source

Neuromorphic Devices for Extreme Environments: State‐Variable Reliability and Stabilization Strategies

open access: yesAdvanced Functional Materials, EarlyView.
Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park   +7 more
wiley   +1 more source

Solving closest vector instances using an approximate shortest independent vectors oracle [PDF]

open access: yes, 2014
Given a lattice $L\subset\R^n$ and some target vector, this paper studies the algorithms for approximate closest vector problem (CVP$_\gamma$) by using an approximate shortest independent vectors problem oracle (SIVP$_\gamma$).
Chengliang Tian, Wei Wei, Dongdai Lin
core   +1 more source

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

open access: yesAdvanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao   +7 more
wiley   +1 more source

Approximate Perturbation Aided Lattice Encoding (APPLE) for G.fast and Beyond

open access: yesIEEE Access, 2018
G.fast suffers from strong far-end crosstalk at high frequencies in cable binders containing a large number of twisted copper pairs. For the 212-MHz G.fast spectrum, the power penalty incurred by the conventional zero-forcing precoding-based linear ...
Yangyishi Zhang   +3 more
doaj   +1 more source

Bistable Isochoric Chiral Metamaterials with Reprogrammable Multiaxial Responses

open access: yesAdvanced Functional Materials, EarlyView.
An isochoric bistable rotational unit cell enables in situ modification of internal contact conditions post‐fabrication, without altering the global envelope dimensions of the surrounding architecture. By selectively switching between open and closed states, the tessellated chiral metamaterial can reprogram its volumetric response, including bulk ...
Shujia Chen   +3 more
wiley   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee   +9 more
wiley   +1 more source

$2^{\log^{1-\eps} n}$ Hardness for Closest Vector Problem with Preprocessing

open access: yesElectron. Colloquium Comput. Complex., 2011
We prove that for an arbitrarily small constant $\eps>0,$ assuming NP$\not \subseteq$DTIME$(2^{{\log^{O(1/\eps)} n}})$, the preprocessing versions of the closest vector problem and the nearest codeword problem are hard to approximate within a factor better than $2^{\log ^{1-\eps}n}.$ This improves upon the previous hardness factor of $(\log n)^δ ...
Subhash Khot   +2 more
openaire   +4 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

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