Now showing items 1-10 of 11335
Distributed generation impact evaluation using a multi-objective tabu search
Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive ...
D-ARM: A new proposal for multi-dimensional interconnection networks
(Assoc Computing MachineryNew YorkEUA, 2001)
Semantically enhanced network analysis for influencer identification in online social networks
(Elsevier B.V., 2019)
Influencers in a social network are members that have greater effect in the online social network (OSN) than the average member. In the specific social networks known as communities of practice, where the focus is an ...
Multidimensional Network Resilience Analysis
When the resilience of a network is analyzed it is often studied alone, but in the real world networks usually interact with other networks establishing dependencies. The Internet at a BGP level is an example of this kind ...
Weighting dissimilarities to detect communities in networks
(Royal Soc., 2015)
Many complex systems can be described as networks exhibiting inner organization as communities of nodes. The identification of communities is a key factor to understand community-based functionality. We propose a family ...
Relationship networks: social innovation and earnings for companies
(Springer New York LLC, 2016)
This study proposes an investigation to prove that when companies organize in networks and use social innovation in a productive system gets economic and social gain. The object of study is a case study of Milk Producers ...
Using serial bluetooth converters as a sensor link in networked control systems
Networked control systems (NCS) are distributed control system in which sensors, actuators and controllers are physically separated and connected through communication networks. NCS represent the evolution of networked ...
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
(Taylor & Francis Ltd, 2005-10-20)
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are ...