Results 101 to 110 of about 309,856 (326)

On the Fly Orchestration of Unikernels: Tuning and Performance Evaluation of Virtual Infrastructure Managers

open access: yes, 2018
Network operators are facing significant challenges meeting the demand for more bandwidth, agile infrastructures, innovative services, while keeping costs low.
Lombardo, Francesco   +6 more
core   +1 more source

Polaronic and Electrochemical Signatures in Group IVB (Ti, Zr, Hf) Oxides: Unified SKP–DFT Insights for Tunable Transport in Energy and Electronic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Charge carrier concentration and mobility in TiO2, ZrO2, and HfO2 powder films are experimentally mapped as a function of temperature. The results uncover polaron‐mediated transport regimes and field‐activated conduction, enabling the design of oxide‐based electronic and energy devices with thermally tunable functionality.
Beatriz Moura Gomes   +3 more
wiley   +1 more source

A Novel Admission Control Model in Cloud Computing [PDF]

open access: yes, 2014
With the rapid development of Cloud computing technologies and wide adopt of Cloud services and applications, QoS provisioning in Clouds becomes an important research topic. In this paper, we propose an admission control mechanism for Cloud computing. In
Duan, Qiang   +5 more
core  

Highly Customizable Scaffold‐Type 3D Microelectrode Array Platform for Design and Analysis of the 3D Neuronal Network In Vitro

open access: yesAdvanced Functional Materials, EarlyView.
An innovative fabrication platform for 3D microelectrode arrays (MEAs) is presented, utilizing a 3D printer and the capillary action of electrically conductive inks. This approach enables the simple and versatile fabrication of 3D MEAs with complex structures.
Dongjo Yoon, Yoonkey Nam
wiley   +1 more source

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

open access: yesSensors
GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. However, edge devices present severe
Cristian Peñaranda   +2 more
doaj   +1 more source

Magnetic‐Field Tuning of the Spin Dynamics in the Quasi‐2D Van der Waals Antiferromagnet CuCrP2S6

open access: yesAdvanced Functional Materials, EarlyView.
This study reveals 2D character of the spin dynamics in CuCrP2S6, as well as complex field dependence of collective excitations in the antiferromagnetically ordered state. Their remarkable tuning from the antiferromagnetic to the ferromagnetic type with magnetic field, together with the non‐degeneracy of the magnon gaps favorable for the induction of ...
Joyal John Abraham   +16 more
wiley   +1 more source

Boosting the Energy Density of “Anode‐Free” Lithium Metal Batteries via Electrospun Polymeric Scaffolds

open access: yesAdvanced Functional Materials, EarlyView.
While host structures are known to enhance the reversibility and safety of lithium metal deposition, their additional volume and weight often decrease the battery's energy density and specific energy. By combining a lightweight and porous scaffold of electrospun polymer with a thinner separator, this article demonstrates a simultaneous improvement of ...
Lennart Wichmann   +6 more
wiley   +1 more source

A computational efficient method for bandwidth extension of a conference phone

open access: yes2003 IEEE International Conference on Consumer Electronics, 2003. ICCE., 2003
This paper presents a computational efficient method for extension of the bandwidth of a conference phone. The virtue of the proposed method is that it allows an improvement in quality, i.e. increased bandwidth, at virtually no extra computational cost.
Lindström, Fredric   +2 more
openaire   +4 more sources

SMaRT Stacking: A Methodology to Produce Optimally Layered EMI Shields with Maximal Green Index Using Fused Deposition Modeling

open access: yesAdvanced Functional Materials, EarlyView.
Electromagnetic interference (EMI) shields consisting of polylactic acid (PLA) in layers with different concentrations of multiwalled carbon nanotubes (MWCNT) are produced using additive manufacturing. The permittivity function of layers with different filler concentrations is learned using data of homogeneous and randomly ordered shields.
Stijn De Smedt   +5 more
wiley   +1 more source

A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]

open access: yes
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Maxwell L. King   +2 more
core  

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