Results 81 to 90 of about 6,001,926 (286)

Design of campus network terminal positioning system based on topology discovery

Tongxin xuebao
At present, there was not an effective approach to position network terminal in the campus network management. An algorithm of network topology discovery was proposed, which could discover all the layer-2 and layer-3 network devices and their connections.
YU Bo, HU Donghui, TANG Linchun
doaj   +2 more sources

MonLink: Piggyback Status Monitoring over LLDP in Software-Defined Energy Internet

Energies, 2019
While software-defined networking (SDN) has been widely applied in various networking domains including datacenters, WANs (Wide Area Networks), QoS (Quality of Service) provisioning, service function chaining, etc., it also has foreseeable applications ...
Xi Chen, Yue Chen, Arun Kumar Sangaiah, Shouxi Luo, Hongfang Yu   +4 more
doaj   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Lightweight software-defined edge computing network topology discovery method

网络与信息安全学报
Software-defined edge computing networks enable efficient, reliable and secure network communication. The topological architecture of software-defined edge computing networks requires flexibility and scalability to adapt to the technological environments
ZHOU Qizhao, SHI Zhongyu
doaj  

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Implementation of Topology Discovery in Multi-Subnet Environments

, 2007
It\ue2s the age of network now. More and more people use the network and network management becomes important. The ISO sets the network management model: accounting management, configuration management, performance management, fault management and ...
Huang, Shih-hao
core  

Episodic Clustering of Data Streams Using a Topology-Learning Neural Network [PDF]

, 2012
Tscherepanow M, Kühnel S, Riechers S. Episodic Clustering of Data Streams Using a Topology-Learning Neural Network. In: Lemaire V, Lamirel J-C, Cuxac P, eds. Proceedings of the ECAI Workshop on Active and Incremental Learning (AIL).
Lamirel, Jean-Charles, Tscherepanow, Marko, Riechers, Sören, Kühnel, Sina, Lemaire, Vincent, Cuxac, Pascal   +5 more
core  

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Security of Topology Discovery Service in SDN: Vulnerabilities and Countermeasures

IEEE Open Journal of the Communications Society
Software-Defined Network (SDN) controller needs comprehensive visibility of the whole network to provide effective routing and forwarding decisions in the data layer.
Sanaz Soltani, Ali Amanlou, Mohammad Shojafar, Rahim Tafazolli   +3 more
doaj   +1 more source