Results 51 to 60 of about 13,788 (166)

Energy-Efficient Raptor-like LDPC Coding Scheme Design and Implementation for IoT Communication Systems

open access: yesEnergies, 2023
The large number of inexpensive and energy-efficient terminals in IoT systems is one of the emerging elements of the recent landscape of information and communication technologies.
Jakub Hyla, Wojciech Sułek
doaj   +1 more source

On the Girth of (3,L) Quasi-Cyclic LDPC Codes based on Complete Protographs

open access: yes, 2015
We consider the problem of constructing $(3,L)$ quasi-cyclic low-density parity-check (LDPC) codes from complete protographs. A complete protograph is a small bipartite graph with two disjoint vertex sets such that every vertex in the variable-node set ...
Divsalar, Dariush   +2 more
core   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

open access: yesAdvanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han   +10 more
wiley   +1 more source

Novel construction of quasi-cyclic low-density parity-check codes with variable code rates for cloud data storage systems

open access: yesETRI Journal, 2023
This paper proposed a novel method for constructing quasi-cyclic low-density parity-check (QC-LDPC) codes of medium to high code rates that can be applied in cloud data storage systems, requiring better error correction capabilities.
Vairaperumal Bhuvaneshwari   +1 more
doaj   +1 more source

Ultrafast, High‐Capacity Uranium Harvesting From Seawater via a Hierarchically Porous Polymer Electrode

open access: yesAdvanced Science, EarlyView.
A hierarchically porous AOPIM‐CNT electrode enables uranium harvesting from seawater via adsorption‐promoted electrodeposition. Rapid diffusion and selective adsorption are coupled with electrochemical crystallization and spontaneous detachment, creating a self‐refreshing process that sustains high‐capacity, continuous extraction from ultradilute ...
Zejun Song   +7 more
wiley   +1 more source

Explicit constructions of Type-II QC LDPC codes with girth at least 6 [PDF]

open access: yes, 2007
Type-II quasi-cyclic (QC) LDPC codes are constructed from combinations of weight-0, weight-1 and weight-2 circulant matrices. The structure of cycles of length 2n are investigated, and necessary and sufficient conditions for a type-II QC LDPC parity ...
Lally, K
core  

Design of Non-Binary Quasi-Cyclic LDPC Codes by ACE Optimization

open access: yes, 2013
An algorithm for constructing Tanner graphs of non-binary irregular quasi-cyclic LDPC codes is introduced. It employs a new method for selection of edge labels allowing control over the code's non-binary ACE spectrum and resulting in low error-floor. The
Bazarsky, Alex   +2 more
core   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

Variations of the McEliece Cryptosystem

open access: yes, 2017
Two variations of the McEliece cryptosystem are presented. The first one is based on a relaxation of the column permutation in the classical McEliece scrambling process.
Alain Couvreur   +16 more
core   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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