Results 81 to 90 of about 240,975 (314)

On multi-user EXIT chart analysis aided turbo-detected MBER beamformer designs [PDF]

open access: yes, 2008
This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver communicating over both additive white Gaussian noise (AWGN) and multipath slow fading channels. Based
Chen, Sheng, Tan, Shuang, Hanzo, Lajos
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Single-Event Upset Analysis and Protection in High Speed Circuits [PDF]

open access: yes, 2006
The effect of single-event transients (SETs) (at a combinational node of a design) on the system reliability is becoming a big concern for ICs manufactured using advanced technologies. An SET at a node of combinational part may cause a transient pulse at
Lofti-Kamran, P.   +7 more
core   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

On Feedback Error Learning for Adaptive Soft Robot Control [PDF]

open access: yes
Soft robots are appealing in a wide variety of tasks thanks to their inherent advantages in safety, compliance, and adaptability. However, accurate modelling and control of soft robots are still significantly challenging.
Veronese N. E.   +5 more
core   +1 more source

Soft bit error modeling for discrete wireless channels [PDF]

open access: yes, 2009
Soft decision decoding is currently used in many wireless communications systems because of its capability for increasing the coding gain. Soft generative models produce soft error sequences in order to help in the design and evaluation of the ...
Cheng-Xiang Wang   +5 more
core   +1 more source

The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs

open access: yesIEEE Open Journal of Engineering in Medicine and Biology
Introduction: While carbon ion radiotherapy is highly effective in cancer treatment, it has a high risk of causing soft error, which leads to malfunctions in cardiac implantable electrical devices (CIEDs).
Yudai Kawakami   +7 more
doaj   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

open access: yesAdvanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero   +12 more
wiley   +1 more source

Soft handover issues in radio resource management for 3G WCDMA networks [PDF]

open access: yes, 2003
PhDMobile terminals allow users to access services while on the move. This unique feature has driven the rapid growth in the mobile network industry, changing it from a new technology into a massive industry within less than two decades.
Chen, Yue
core  

Soft error in FPGA-implemented asynchronous circuits [PDF]

open access: yes, 2011
In this paper, we investigate the mechanism of soft error generation and propagation in asynchronous circuits which are implemented on FPGAs. The effects of the soft errors on Quasi-delay-insensitive (QDI) asynchronous circuits are analyzed.
Weidong Kuang   +3 more
core   +2 more sources

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