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Mauro Passacantando and Fabio Raciti
We consider a class of finite-dimensional variational inequalities where both the operator and the constraint set can depend on a parameter. Under suitable assumptions, we provide new estimates for the Lipschitz constant of the solution, which considerab...
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Egor Shiriaev, Nikolay Kucherov, Mikhail Babenko, Vladislav Lutsenko and Safwat Al-Galda
In this paper, a study is carried out related to improving the reliability and fault tolerance of Fog Computing systems. This work is a continuation of previous studies. In the past, we have developed a method of fast operation for determining the sign o...
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Huajian Deng, Hao Wang, Yang Liu and Zhonghe Jin
Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the vi...
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Ferenc Izsák and Rudolf Izsák
A neural-network-assisted numerical method is proposed for the solution of Laplace and Poisson problems. Finite differences are applied to approximate the spatial Laplacian operator on nonuniform grids. For this, a neural network is trained to compute th...
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Stefania Perri, Fanny Spagnolo, Fabio Frustaci and Pasquale Corsonello
This paper proposes a novel approach suitable to design energy-efficient approximate multipliers using both ASIC and FPGAs. The new strategy harnesses specific encoding logics based on bit significance and computes the approximate product performing accu...
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Ralf Reiner Müller, Bernhard Martin Wilhelm Gäde and Ali Bereyhi
Here we introduce the new concept of computation coding. Similar to how rate-distortion theory is concerned with the lossy compression of data, computation coding deals with the lossy computation of functions. Particularizing to linear functions, we pres...
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Andréas Guitart, Daniel Delahaye and Eric Feron
This paper addresses the generation of aircraft emergency trajectories with obstacle avoidance. After presenting in detail the fast marching tree algorithm, in this paper we propose an improvement of its performance. First, the free space checking functi...
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Haojing Shen, Haksu Lee and Dong-Jun Seo
Kalman filter (KF) and its variants and extensions are wildly used for hydrologic prediction in environmental science and engineering. In many data assimilation applications of Kalman filter (KF) and its variants and extensions, accurate estimation of ex...
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Xuechen Zang and Shigetoshi Nakatake
Neural networks have been widely used and implemented on various hardware platforms, but high computational costs and low similarity of network structures relative to hardware structures are often obstacles to research. In this paper, we propose a novel ...
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Wenxin Qiao, Hao Lu, Yu Lu, Lijie Meng and Yicen Liu
Satellite?terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two co...
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