نتایج جستجو برای: new network cost efficiency nnce

تعداد نتایج: 2950171  

Journal: :NeuroImage 2011
Yong Fan Feng Shi J. Keith Smith Weili Lin John H. Gilmore Dinggang Shen

Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collect...

S.Samavi, V. Tahani and P. Khadivi,

Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...

2009
Isabella Cerutti Luca Valcarenghi Piero Castoldi

Traditionally, optical networks have been designed with the objective of minimizing the capital expenditure (CAPEX) without considering the operative costs (OPEX), due for instance to energy consumption. However, the increase of energy consumption and corresponding costs and the challenges imposed by the environmental issues (such as the global warming and the limited oil reserves) are demandin...

2002
Andrea Goldstein José Claudio Linhares Pires

Brazil is going through an institutional transition in the provision of public services, which had historically been supplied by State monopolies. A core element in this process is been the creation of a new form of public sector institutions – regulatory agencies with operational and financial autonomy. In this paper we identify their most important decisions and provide detailed analysis of t...

Journal: :Automatica 2012
Alexandre R. Mesquita João Pedro Hespanha Girish N. Nair

In lossy networks the probability of successful communication can be significantly increased by transmitting multiple copies of a same message through independent channels. In this paper we show that communication protocols that exploit this by dynamically assigning the number of transmitted copies of the same data can significantly improve the control performance in a networked control system ...

2015
Tine L. Vandoorn Jan Van de Vyver Louis Gevaert Lieven Degroote Lieven Vandevelde Josep M. Guerrero

The increasing share of distributed energy resources poses a challenge to the distribution network operator (DNO) to maintain the current availability of the system while limiting the investment costs. Related to this, there is a clear trend in DNOs trying to better monitor their grid by installing a distribution management system (DMS). This DMS enables the DNOs to remotely switch their networ...

2002
Miguel Bagajewicz

The problem of instrumentation network design and upgrade consists of determining the optimal set of instruments to obtain sufficiently accurate and reliable estimates of ®ariables. An existing formulation of the cost optimal sensor network design and up( ) grade problem Bagajewicz, 1997 is in the form of a mathematical programming problem, but it has the disad®antage that the constraints are n...

The long-run incremental and marginal pricing are two different approaches for pricing transmission and distribution networks usage. The main difference between these two methods is to the way the cost of using the network is calculated. In the former approach, simulations are used, and in the latter, sensitivity analysis methods are used to determine the cost. In this paper, a novel analytical...

2008
Christian Gierds

When adapting services in a SOA environment, not only the validity of the adapter may be of importance, but also non-functional properties like the costs of the adapter. We introduce an approach for finding cost-efficient adapters based on the operating guideline, which characterizes all valid adapters for the given services.

2015
Álvaro Torralba Peter Kissmann

Merge-and-shrink (M&S) is a framework to generate abstraction heuristics for cost-optimal planning. A recent approach computes simulation relations on a set of M&S abstractions in order to identify states that are better than others. This relation is then used for pruning states in the search when a “better” state is already known. We propose the usage of simulation relations inside the M&S fra...

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