Listar ICC_Articles por título
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New approach for a Reconfigurable Autonomous Underwater Vehicle for Intervention
IEEE (2010-11)This shows an on-going project named RAUVI (i.e., Reconfigurable AUV for Intervention). This project aims to design and develop an Underwater Autonomous Robot, able to perceive the environment by means of acoustic and optic ... -
Noise estimation for hyperspectral subspace identification on FPGAs
Springer (2019-05)We present a reliable and efficient FPGA implementation of a procedure for the computation of the noise estimation matrix, a key stage for subspace identification of hyperspectral images. Our hardware realization is based ... -
Object Detection and Recognition for Assistive Robots: Experimentation and Implementation
Institute of Electrical and Electronics Engineers (IEEE) (2017-09)Technological advances are being made to assist humans in performing ordinary tasks in everyday settings. A key issue is the interaction with objects of varying size, shape, and degree of mobility. Autonomous assistive ...
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Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition
Institute of Electrical and Electronics Engineers (2022-03)Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition ...
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On the adequacy of lightweight thread approaches for high-level parallel programming models
Elsevier (2018-07)High-level parallel programming models (PMs) are becoming crucial in order to extract the computational power of current on-node multi-threaded parallelism. The most popular PMs, such as OpenMP or OmpSs, are directive-based: ...
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On the benefits of the remote GPU virtualization mechanism: The rCUDA case
Wiley (2017-07-10)Graphics processing units (GPUs) are being adopted in many computing facilities given their extraordinary computing power, which makes it possible to accelerate many general purpose applications from different domains. ...
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On the performance of a GPU-based SoC in a distributed spatial audio system
Springer (2021-01-04)Many current system-on-chip (SoC) devices are composed of low-power multicore processors combined with a small graphics accelerator (or GPU) offering a trade-off between computational capacity and low-power consumption. ...
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On the performance of multi-GPU-based expert systems for acoustic localization involving massive microphone arrays
Elsevier (2015)Sound source localization is an important topic in expert systems involving microphone arrays, such as automatic camera steering systems, human–machine interaction, video gaming or audio surveillance. The Steered Response ...
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Optimal renewable power generation systems for Busan metropolitan city in South Korea
Elsevier (2016-04)The metropolitan cities of developed countries comprise more than 50% of the global population and consume over 60% of the world's energy. Many governments plan to enhance their energy infrastructure and the electricity ...
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Optimising Convolutions for Deep Learning Inference On ARM Cortex-M Processors
Institute of Electrical and Electronics Engineers Inc. (2024-04-30)We perform a series of optimisations on the convolution operator within the ARM CMSIS-NN library to improve the performance of deep learning tasks on Arduino development boards equipped with ARM Cortex-M4 and M7 microcontrollers. ...
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Optimized Fundamental Signal Processing Operations For Energy Minimization on Heterogeneous Mobile Devices
IEEE (2018-05)Numerous signal processing applications are emerging on both mobile and high-performance computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must ...
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Optimized Renewable and Sustainable Electricity Generation Systems for Ulleungdo Island in South Korea
MDPI (2014-11)The South Korean government has long been attempting to reduce the nation’s heavy reliance on fossil fuels and increase environmental safety by developing and installing renewable power generation infrastructures and ...
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Out-of-core macromolecular simulations on multithreaded architectures
Wiley (2015)We address the solution of large-scale eigenvalue problems that appear in the motion simulation o f com- plex macromolecules on multithreaded platforms, consisting of multicore processors and possibly a graphics processor ...
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Parallel Computation of 3-D Soil-Structure Interaction in Time Domain with a Coupled FEM/SBFEM Approach
Springer US (2012)This paper introduces a parallel algorithm for the scaled boundary finite element method (SBFEM). The application code is designed to run on clusters of computers, and it enables the analysis of large-scale soil-structur ...
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Parallelizing dense and banded linear algebra libraries using SMPSs
John Wiley (2009-12-25)The promise of future many-core processors, with hundreds of threads running concurrently, has led the developers of linear algebra libraries to rethink their design in order to extract more parallelism, further exploit ...
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Particle-filter-based Pose Estimation from Controlled Motion with Application to Visual Servoing
InTech (2014)In this paper, we present a Bayesian algorithm based on particle filters to estimate the camera pose for vision-based control. The state model is represented as a relative camera pose between the current and initial ...
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Paving the way towards high-level parallel pattern interfaces for data stream processing
Elsevier (2018-10)The emergence of the Internet of Things (IoT) data stream applications has posed a number of new challenges to existing infrastructures, processing engines, and programming models. In this sense, high-level interfaces, ...
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Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting
IEEE (2018-02)Hybrid cloud bursting (i.e., leasing temporary off-premise cloud resources to boost the overall capacity during peak utilization) can be a cost-effective way to deal with the increasing complexity of big data analytics, ...
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Performance modeling of the sparse matrix–vector product via convolutional neural networks
Springer (2020-02-04)Modeling the execution time of the sparse matrix–vector multiplication (SpMV) on a current CPU architecture is especially complex due to (i) irregular memory accesses; (ii) indirect memory referencing; and (iii) low ...
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Performance versus energy consumption of hyperspectral unmixing algorithms on multi-core platforms
SpringerOpen (2013)Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images ...
