Results 21 to 30 of about 211,994 (273)

Average Contiguous Duration (ACD)-Based Quantization for Secret Key Generation in Generalized Gamma Fading Channels

open access: yesIEEE Access, 2021
The wireless channel-based Secret Key Generation (SKG) algorithms aim at securing the wireless link against unauthorized eavesdropping by exploiting the channel’s randomness for generating matching secret keys at the legitimate nodes for message ...
Muhammad Adil   +3 more
doaj   +1 more source

Support and Optimization of Multi-Granularity Quantization Framework for Deep Learning Compiler [PDF]

open access: yesJisuanji gongcheng
With the increasing demand for the deployment of large models by major manufacturers, the accuracy of the single quantization method of deep learning compiler Tensor Virtual Machine (TVM) has decreased, and this method is no longer sufficient to satisfy ...
WEI Mingkang, LI Jianan, HAN Lin, GAO Wei, ZHAO Rongcai, WANG Hongsheng
doaj   +1 more source

Singular projective varieties and quantization [PDF]

open access: yes, 2000
By the quantization condition compact quantizable Kaehler manifolds can be embedded into projective space. In this way they become projective varieties. The quantum Hilbert space of the Berezin-Toeplitz quantization (and of the geometric quantization) is
A Karabegov   +12 more
core   +2 more sources

ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks

open access: yesIEEE Access, 2020
Deep Neural Networks are one of the machine learning techniques which are increasingly used in a variety of applications. However, the significantly high memory and computation demands of deep neural networks often limit their deployment on embedded ...
Siddharth Gupta   +4 more
doaj   +1 more source

Quantum massive conformal gravity [PDF]

open access: yes, 2016
We first find the linear approximation of the second plus fourth order derivative massive conformal gravity action. Then we reduce the linearized action to separated second order derivative terms, which allows us to quantize the theory by using the ...
Faria, F. F.
core   +2 more sources

Ultra-High-Speed Accelerator Architecture for Convolutional Neural Network Based on Processing-in-Memory Using Resistive Random Access Memory

open access: yesSensors, 2023
Processing-in-Memory (PIM) based on Resistive Random Access Memory (RRAM) is an emerging acceleration architecture for artificial neural networks. This paper proposes an RRAM PIM accelerator architecture that does not use Analog-to-Digital Converters ...
Hongzhe Wang   +9 more
doaj   +1 more source

On Quantization of Time-Dependent Systems with Constraints [PDF]

open access: yes, 2006
The Dirac method of canonical quantization of theories with second class constraints has to be modified if the constraints depend on time explicitly. A solution of the problem was given by Gitman and Tyutin.
Dirac P A M   +6 more
core   +2 more sources

Half-Spectrum Suppression in Dynamic Resonant Tunneling

open access: yesApplied Sciences, 2023
It is well known that in a process of Dynamic Resonant Tunneling, where the energy level of the quasi-bound state varies in time, the tunneling current can be drastically suppressed at specific energies.
Gilad Zangwill, Er’el Granot
doaj   +1 more source

Alternative approach to electromagnetic field quantization in nonlinear and inhomogeneous media

open access: yes, 1998
A simple approach is proposed for the quantization of the electromagnetic field in nonlinear and inhomogeneous media. Given the dielectric function and nonlinear susceptibilities, the Hamiltonian of the electromagnetic field is determined completely by ...
A. N. Kireev   +29 more
core   +1 more source

Ostrogradski approach for the Regge-Teitelboim type cosmology [PDF]

open access: yes, 2009
We present an alternative geometric inspired derivation of the quantum cosmology arising from a brane universe in the context of {\it geodetic gravity}.
Alberto Molgado   +8 more
core   +1 more source

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