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virtual machines

Development of a management system for virtual machines on private clouds

Development of a management system for virtual machines on private clouds

... of virtual machines as a highly scalable Infrastructure as a ...a virtual machine itself. It controls the allocation of virtual machines to hosts and assigns storage and IP addresses to ...

155

Some experiences in using virtual machines for teaching computer networks

Some experiences in using virtual machines for teaching computer networks

... of virtual machines, allowing each student to build his/her own network experiment, using the appropriate topology, and thus not disturbing the other activities running in the ...using virtual ...

12

Teaching “Embedded Operating Systems” using Raspberry Pi and Virtual Machines

Teaching “Embedded Operating Systems” using Raspberry Pi and Virtual Machines

... The cost of the entire kit is around 100 euros. We have bought them with the support of the University of Valladolid. Regarding the video cable, as long as the Raspberry Pi comes with an HDMI output, we have chosen to ...

8

A design framework for wireless sensor networks

A design framework for wireless sensor networks

... Middleware technologies in a broad sense, which covers operating systems and virtual machines, query processing, data composition and aggregation, resource awareness [r] ...

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Towards description and optimization of abstract machines in an extension of prolog

Towards description and optimization of abstract machines in an extension of prolog

... This makes it dimcult to use the generated virtual machines as "production" software (which would therefore be routinely tested) and, espe- cially, it makes it dimcult to study [r] ...

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Design and evaluation of a learning environment to effectively provide network security skills

Design and evaluation of a learning environment to effectively provide network security skills

... store virtual machine images in a centralized storage ...of virtual machines in an isolated ...of virtual machines to each workstation, a larger, single set of images is distributed ...

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TOWARDS THE AURALIZATION OF ELECTRICAL MACHINES IN COMPLEX VIRTUAL SCENARIOS

TOWARDS THE AURALIZATION OF ELECTRICAL MACHINES IN COMPLEX VIRTUAL SCENARIOS

... complete virtual prototyping of machines and realistic and interactive psycho-acoustic studies, before the actual manufacturing of a prototype, is ...

7

Support Vector Machines Framework for Linear Signal Processing

Support Vector Machines Framework for Linear Signal Processing

... This paper presents a support vector machines (SVM) framework to deal with linear signal processing (LSP) problems. The approach relies on three basic steps for model building: (1) identifying the suitable base of ...

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Kolmogorov complexity for possibly infinite computations

Kolmogorov complexity for possibly infinite computations

... We work with Turing machines with a one-way read-only input tape, some work tapes, and an output tape. The input tape contains a first dummy cell (representing the empty input) and then a one-way infinite sequence ...

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ANALISIS DE LAS PROPIEDADES MECÁNICAS DE UN ACERO ESTRUCTURAL A   36 QUE PRESENTA FASES DOBLES

ANALISIS DE LAS PROPIEDADES MECÁNICAS DE UN ACERO ESTRUCTURAL A 36 QUE PRESENTA FASES DOBLES

... 5.2.2 Wedge Grips—Testing machines usually are equipped with wedge grips. These wedge grips generally furnish a satisfactory means of gripping long specimens of ductile metal and flat plate test specimens such as ...

291

Sparse Deconvolution Using Support Vector Machines

Sparse Deconvolution Using Support Vector Machines

... Here, a sparse deconvolution algorithm based on the SVM framework for signal processing is presented and analyzed, including comparative evaluations of its performance from the points of[r] ...

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Robust Gamma-filter Using Support Vector Machines

Robust Gamma-filter Using Support Vector Machines

... Support vector machines (SVM) are state-of-the-art tools for solving linear and non-linear machine learning problems [12]. In addition, several signal-processing problems have been specifically formulated from the ...

7

Heart Rate Turbulence Denoising Using Support Vector Machines

Heart Rate Turbulence Denoising Using Support Vector Machines

... Then, the clinical EPS database that was used as gold standard for HRT measurements is described, and application examples of denoising are used in order to show the following points: (1[r] ...

9

Realidad mixta como innovación educativa en la FIIS UNHEVAL   2018

Realidad mixta como innovación educativa en la FIIS UNHEVAL 2018

... realidad virtual es un mundo transversal en el que caben todo tipo de ideas e invenciones, y por tanto podremos utilizarlo en todas las materias existentes de la etapa ...realidad virtual en educación es ...

149

Análisis de la aceptación de la compra de espacios publicitarios en las reverse vending machines en Guayaquil para la creación de una empresa publicitaria

Análisis de la aceptación de la compra de espacios publicitarios en las reverse vending machines en Guayaquil para la creación de una empresa publicitaria

... La hipótesis a definir para el trabajo de investigación es que: Si se analiza la aceptación de la compra de espacios publicitarios en las reverse vending machines en la ciudad de Guayaqu[r] ...

122

An ACO approach for the Parallel Machines Scheduling Problem

An ACO approach for the Parallel Machines Scheduling Problem

... literature ([12] and [16]) offers a set of dispatching rules and heuristics. Depending on the particular instance of the problem, we see how some heuristics behave better than others. Evolutionary Algo- rithms have been ...

12

Art – Marketing and Eye-Tracking Machines – Gentry – 2007.pdf

Art – Marketing and Eye-Tracking Machines – Gentry – 2007.pdf

... video-based machines to track eye movements for researchers. These machines were very expensive when first developed as they required extensive computing power to calculate the point of regard (visual ...

6

Support Vector Machines for Nonlinear Kernel ARMA System Identification

Support Vector Machines for Nonlinear Kernel ARMA System Identification

... vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear autore- gressive and moving average (ARMA) model in some reproducing ...

6

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

... Abstract—The problem of signal interpolation has been inten- sively studied in the Information Theory literature, in conditions such as unlimited band, nonuniform sampling, and presence of noise. During the last decade, ...

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