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Bond breaking dynamics in semiflexible networks under load

Soft Matter, 2015
We compute bond-breaking dynamics of a semiflexible filament under loading, and compare to observed driven particle motion in biopolymer networks.
Christian, Vaca   +4 more
openaire   +2 more sources

Comparison of Three Methods for Dynamic Network Loading

Transportation Research Record: Journal of the Transportation Research Board, 2001
Interest in temporal modeling of road traffic has increased over the past decade because of the need to model traffic dynamics for the purpose of evaluating a variety of intelligent transportation components, such as traffic control measures and route guidance.
ASTARITA, Vittorio   +4 more
openaire   +2 more sources

Q-Networks with Dynamically Loaded Biases for Personalization

2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2021
Personalization is ever more prevalent in digital systems in various application domains. Reinforcement learning is a method often applied to adjust a system's behavior to the user's preferences, but there are a number of hurdles when applying it in this context.
Jan Magyar, Peter Sincak
openaire   +1 more source

Dynamic Load Distribution in MPLS Networks

2003
Exploiting the efficient explicit routing capability of MPLS, we propose a dynamic multipath traffic engineering mechanism named LDM(Load Distribution over Multipath). The main goal of LDM is to enhance the network utilization as well as the network performance by adaptively splitting traffic load among multiple paths.
Jeonghwa Song, Saerin Kim, Meejeong Lee
openaire   +1 more source

Synchronous distributed load balancing on dynamic networks

Journal of Parallel and Distributed Computing, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bahi, Jacques M.   +2 more
openaire   +2 more sources

Dynamic load balanced routing in IP networks

2016 6th International Conference on Information Communication and Management (ICICM), 2016
In this paper, we address the dynamic load balanced routing problem in IP networks. In current IP networks, shortest paths are selected for routing based on static link weight metrics. Due to the lack of stringent synchronization among routers, dynamically changing link weight would generate transient loops. How to perform dynamic load balanced routing
Kuang-Yi Li   +2 more
openaire   +1 more source

Artificial neural network based dynamic load modeling

IEEE Transactions on Power Systems, 1997
The aim of this research is to investigate the use of artificial neural networks (ANN) with feedback loops for the modeling of power system dynamic loads using field data. In addition to the power demand before the transient, only the phase voltages are assumed available at the recall stage.
T. Hiyama   +3 more
openaire   +1 more source

Dynamic Load Balancing Using Network Transferable Computer

25th IEEE International Conference on Distributed Computing Systems Workshops, 2005
This paper proposes a new dynamic load balancing (DLB) method for network traffic. In client-server systems, intense access to a particular server host often causes excessive traffic on a path connected to the server. Although mirror servers are used for load balancing of host performance, this may not be sufficient to balance the load of network ...
M. Hisayuki   +4 more
openaire   +1 more source

A Dynamic Network Loading Model for Traffic Dynamics Modeling

IEEE Transactions on Intelligent Transportation Systems, 2007
The need for a better representation of traffic dynamics and the reproduction of traffic flow motion on the network have been the main reasons to seek solutions for dynamic network loading (DNL) models. In this paper, a neural network (NN) approximator that supports the DNL model is utilized to model link flow dynamics on a sample network.
openaire   +1 more source

A Dynamic Fuzzy Neural Networks Controller for Dynamic Load Simulator

2006 International Conference on Machine Learning and Cybernetics, 2006
This paper presents the design, development of dynamic load simulator based on dynamic fuzzy neural networks (D-FNNs) controller. Dynamic load simulator (DLS) can reproduce desired load torque acting on loaded object to test its performance and stability.
Ben Guo, Ming-yan Wang, Jian Zhang
openaire   +1 more source

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