Transmission congestion is one of major drawbacks deregulated power system. Congestion gradually violates the physical, operational and policy constraints present electricity market. management in huge system remains a challenging tough task, which can be achieved by introducing or more Distributed Energy Resources (DERs) such as Generation (DG), electric vehicles, modern micro grid, Storage Sy...

In device-to-device (D2D) networks, multiple resource-limited mobile devices cooperate with one another to execute computation tasks. As the battery capacity of is limited, tasks running on will terminate once dead. order achieve sustainable computation, energy-harvesting technology has been introduced into D2D networks. At present, how make energy harvesting work collaboratively minimize long-...

Boltzmann machine and new activation function are examined for its ability to accelerate the performance of doing logic programming in Hopfield neural network. Boltzmann machine has a higher capacity than the new activation function. This learning rule also suffers significantly less capacity loss as the network gets larger and more complex. Comparisons are made between these rules to see which...

This paper extends the Global Capacity ANnouncement procedure proposed in [5] along two directions. First, two new stopping criteria are considered. Second, annual losses are evaluated using representative days to approximate the injection duration curve. The extensions are validated on an updated model of a real-life system. The emphasis is on the situation in the Walloon region of Belgium con...

In the late eighties and early nineties, three major exciting new developments (and some rami cations) in the computation of minimum capacity cuts occurred and these developments motivated us to evaluate the old and new methods experimentally. We provide a brief overview of the most important algorithms for the minimum capacity cut problem and compare these methods both on problem instances fro...

This paper proposes, and evaluates the benefits of, a hybrid central cloud (CC) mobile edge computing (MEC) platform, especially introduced to balance network resources for joint communication computation. The transmission is further empowered by splitting users’ messages into private common parts, mitigate interference within CC MEC platforms. While several power-hungry, computationally-limite...

This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in some cases are exponentially faster than their classical counterparts. The unique characteristics of quantum theory may also be used to create...

in this paper, we propose to extend the hierarchical bivariatehermite interpolant to the spherical case. let $t$ be an arbitraryspherical triangle of the unit sphere $s$ and  let $u$ be a functiondefined over the triangle $t$. for $kin mathbb{n}$, we consider ahermite spherical interpolant problem $h_k$ defined by some datascheme $mathcal{d}_k(u)$ and which admits a unique solution $p_k$in the ...