Results 21 to 30 of about 16,720 (151)

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

IEEE 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, Salim Ullah, Kapil Ahuja, Aruna Tiwari, Akash Kumar   +4 more
doaj   +1 more source

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

IEEE 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, Shurjeel Wyne, Syed Junaid Nawaz, Bilal Muhammad   +3 more
doaj   +1 more source

Some basics of su(1,1)

Revista Brasileira de Ensino de Física
A basic introduction to the su(1,1) algebra is presented, in which we discuss the relation with canonical transformations, the realization in terms of quantized radiation field modes and coherent states.
Marcel Novaes
doaj   +1 more source

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

Sensors, 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, Junjie Wang, Hao Hu, Guo Li, Shaogang Hu, Qi Yu, Zhen Liu, Tupei Chen, Shijie Zhou, Yang Liu   +9 more
doaj   +1 more source

Half-Spectrum Suppression in Dynamic Resonant Tunneling

Applied 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

Waveguides in a quantum perspective

New Journal of Physics
Solid state quantum devices, operated at dilution cryostat temperatures, are relying on microwave signals to both drive and read-out their quantum states.
Eddy Collin, Alexandre Delattre
doaj   +1 more source

Hitting Probabilities for a Class of Gaussian Integrators via Second Quantization

Mathematics
In our paper, we consider Gaussian processes in the form of η(t)=∫01A(1[0,t])(s)dw(s),t∈[0,1], where {w(t);t∈[0,1]} is a standard Wiener process in Rd and A is a continuous linear operator on L2([0,1]) into itself. For the domain of D⊂Rd with a C1 smooth
Qingsong Wang, Andrey Anatoliyevich Dorogovtsev   +1 more
doaj   +1 more source

A Hybrid Color Quantization Algorithm That Combines the Greedy Orthogonal Bi-Partitioning Method With Artificial Ants

IEEE Access, 2019
A color quantization technique that combines the operations of two existing methods is proposed. The first method considered is the Greedy orthogonal bi-partitioning method. This is a very popular technique in the color quantization field that can obtain
Maria-Luisa Perez-Delgado, Jesus Angel Roman Gallego   +1 more
doaj   +1 more source

Distributed Adaptive Consensus Tracking Control for Second-Order Nonlinear Heterogeneous Multi-Agent Systems with Input Quantization

Machines, 2023
In this paper, the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization is considered.
Linxing Xu, Yang Li
doaj   +1 more source

On a Problem Arising in Application of the Re-Quantization Method to Construct Asymptotics of Solutions to Linear Differential Equations with Holomorphic Coefficients at Infinity

Mathematical and Computational Applications, 2019
The re-quantization method—one of the resurgent analysis methods of current importance—is developed in this study. It is widely used in the analytical theory of linear differential equations.
Maria Korovina, Ilya Smirnov, Vladimir Smirnov   +2 more
doaj   +1 more source