Results 81 to 90 of about 53,924 (297)

Analysis of network coding delay:a Markov state transfer approach

Tongxin xuebao, 2013
Network coding has been validated as an effective means to improve network throughput and reliability,but the study of its delay performance is not enough.Agai the widely used random linear network coding,the proposed method,based on the Markov state ...
Yu-ben QU, Chen CHEN, Chao DONG, Hai WANG   +3 more
doaj   +2 more sources

Adaptive Real-Time Transmission in Large-Scale Satellite Networks Through Software-Defined-Networking-Based Domain Clustering and Random Linear Network Coding

Mathematics
Network flow task management involves the efficient allocation and scheduling of data flow tasks within dynamic satellite networks, aiming to effectively address frequent changes in network topology and dynamic traffic fluctuations.
Shangpeng Wang, Chenyuan Zhang, Yuchen Wu, Limin Liu, Jun Long   +4 more
doaj   +1 more source

Caterpillar RLNC (CRLNC): A Practical Finite Sliding Window RLNC Approach

IEEE Access, 2017
Random linear network coding (RLNC) is a popular coding scheme for improving communication and content distribution over lossy channels. For packet streaming applications, such as video streaming and general IP packet streams, recent research has shown ...
Simon Wunderlich, Frank Gabriel, Sreekrishna Pandi, Frank H. P. Fitzek, Martin Reisslein   +4 more
doaj   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

Advanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou, Kenny A. van Kampen, Pierpaolo Fucile, Carlos Mota, Lorenzo Moroni   +4 more
wiley   +1 more source

Performance analysis of random linear network coding in two-source single-relay networks [PDF]

, 2015
Amjad Saeed Khan, Ioannis Chatzigeorgiou
openalex   +1 more source

3D Multicellular Scaffold Based Model for Advancing Bone Disorder Research

Advanced Functional Materials, EarlyView.
A scalable 3D multicellular in vitro bone model engineered by integrating osteoblasts, osteoclasts, and endothelial cells on biodegradable scaffolds. The system recapitulates key features of human bone remodeling and disease pathology. As a proof of concept, the model mimics osteogenesis imperfecta, demonstrating its potential as a physiologically ...
Gali Guterman‐Ram, Majd Machour, Janette Zavin, Roy Meretzki, Reut Lev‐Ari, Shulamit Levenberg   +5 more
wiley   +1 more source

Defect Analysis of the β– to γ–Ga2O3 Phase Transition

Advanced Functional Materials, EarlyView.
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas, Maciej O. Liedke, Huan Liu, Fabian Ganss, Maik Butterling, Nico Klingner, René Hübner, Ilja Makkonen, Andreas Wagner, Gregor Hlawacek   +9 more
wiley   +1 more source

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Frontiers in Computational Neuroscience, 2013
Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may implement ...
Bernhard A. Kaplan, Bernhard A. Kaplan, Anders eLansner, Anders eLansner, Anders eLansner, Guillaume S. Masson, Laurent U Perrinet   +6 more
doaj   +1 more source

Instantly Decodable versus Random Linear Network Coding: A Comparative Framework for Throughput and Decoding Delay Performance [PDF]

, 2012
Parastoo Sadeghi, Mingchao Yu
openalex   +1 more source