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Integration of wind power plant into power grids introduces power quality problems. The use of Doubly Fed Induction Generator into wind farm cause a distortion of the waveforms of voltage and current. The percentage of harmonic distortion is greater if the number of wind turbines is large. If the simulation model are not defined properly, the harmonic distortion result would be incorrect. For power...
In the last few years, Convolutional Neural Networks (CNNs) had become the default paradigm to address classification problems, specially, but not only, in image recognition. This is mainly due to the high success rate that they provide. Despite there currently exist approaches that apply deep learning to the 3D recognition problem, they are either too slow for online uses or too error prone. To fill...
In this manuscript, we propose a bio-inspired method of signal processing in a task for the detection of gases (Methane and Iso-Butane) using an array of four gas sensors by Figaro and Spiking Neural Network (SNN-Izhikevich's model), supported by the synaptic current model. Our SNN is trained by the metaheuristic algorithm of Artificial Bee Colony algorithm (ABC algorithm) in a supervised manner....
Objective: Whole-cell (WC) modeling is a promising tool for biological research, bioengineering, and medicine. However, substantial work remains to create accurate comprehensive models of complex cells. Methods: We organized the 2015 Whole-Cell Modeling Summer School to teach WC modeling and evaluate the need for new WC modeling standards and software by recoding a recently published WC model in...
Segmentation is one of the main tasks in image processing and pattern recognition systems. In this paper, a segmentation technique of color images based on fuzzy inference model is proposed. Triangular membership functions are used in the input of the fuzzy system, the Mamdani type fuzzy inference system is applied and for the output universe, singleton-type functions are used. To get the accurate...
Some studies show that Chronic Respiratory Diseases (CRD) are a critical problem of health public in developing countries. Especially, diagnosis can be a challenge for the medical staff when the resources are limited. In this way, new tools can contribute to clinicians and physicians in diagnostic tasks, supporting with additional information. In this case, lung acoustic signal was acquired and processed...
The emerging of cloud computing has made it possible to deploy scientific applications in which users can manage the computational capacity on demand. In order to provide for the nanodevice researches the flexibility they require, we present in this paper the Flexible Cluster Manager (FCM), a tool that allows them to deploy Sentaurus TCAD virtual clusters on demand on cloud infrastructures by means...
We have analysed the landscape of heterogeneous computing solutions in order to understand and explain the position of our application, the General Workload Manager, in that landscape. We have classified several applications in the following groups: Grid middleware, Grid powered applications, Cloud computing, and modern lightweight solutions. We have successfully analysed the characteristics of those...
It is well-known that nanodevice simulations are a high CPU demanding task. Currently, the environmental concern and the green IT revolution have made necessary to reuse the available computational resources being, at the same time, indispensable to reduce the energy consumption as much as possible. Nowadays, thanks to the cloud technology, it is possible to perform on-demand scaling of computational...
Failing hearts undergo electrical and structural remodeling, setting the stage for malignant arrhythmias. Increased dispersion of repolarization has been suggested to underlie increased arrhythmogenesis in human heart failure (HF). Recent experimental studies have shown that transmural dispersion of repolarization (TDR) decreases in failing hearts, while others have observed an increase in similar...
Failing hearts undergo electrical and structural remodeling, setting the stage for malignant arrhythmias. Specifically, failing hearts show enhanced late Na+ current (INaL) and cellular uncoupling. In the present study, the effects of these changes on transmural dispersion of repolarization (TDR), on action potential duration (APD) gradient and on the safety factor for conduction (SF) were simulated...
We propose the development of a new e-Science infrastructure that would take the best of both grid and cloud technologies, and it would allow different research groups that perform nanoelectronic simulations to share their local clusters and create a common infrastructure accessible through a unified point of access. Therefore, more computational power can be used to perform nanoelectronic simulations,...
This article presents an agent based model for the simulation of biological systems. The approach consists mainly of providing individual based models for each of the functional groups that conform an ecosystem. Functional groups (a term commonly used by ecologists) may represent a group of individuals (from the same or from different species) that share relevant attributes. This provides flexibility...
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