Now showing items 33-52 of 105

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      Cellular automata and cluster computing: An application to the simulation of laser dynamics  [Article]

      Guisado Lízar, José Luís; Jiménez-Morales, Francisco de Paula; Fernández de Vega, Francisco (World Scientific, 2007)
      Firstly, the application of a cellular automata (CA) model to simulate the dynamics of lasers is reviewed. With this kind of model, the macroscopic properties of the laser system emerge as a cooperative phenomenon from ...
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      Cellular automaton model for the simulation of laser dynamics  [Article]

      Guisado Lízar, José Luís; Jiménez-Morales, Francisco de Paula; Guerra Pérez, José Manuel (American Physical Society, 2003)
      The classical modeling approach for laser study relies on the differential equations. In this paper, a cellular automaton model is proposed as an alternative for the simulation of population dynamics. Even though the model ...
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      Characterization of Bluetooth Packet Delay in Noisy Environments  [Article]

      Morón Fernández, María José; Luque Giráldez, José Rafael; Casilari Pérez, Eduardo; Díaz Estrella, A. (IEEE Computer Society, 2009)
      This letter presents an analytical model to compute the delay of Bluetooth transmissions with Serial Port Profile (SPP) when interferences cause packet retransmissions. In particular, the model takes into consideration ...
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      Comparison and Characterization of Android-Based Fall Detection Systems  [Article]

      Luque Giráldez, José Rafael; Casilari Pérez, Eduardo; Morón Fernández, María José; Redondo, Gema (MDPI, 2014)
      Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes ...
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      Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs  [Article]

      Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-Sun (Cornell University, 2016)
      Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take ...
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      Computational simulation of laser dynamics as a cooperative phenomenon  [Article]

      Guisado Lízar, José Luís; Jiménez-Morales, Francisco de Paula; Guerra Pérez, José Manuel (IOP Publishing, 2005)
      The different kinds of behavior exhibited by the system in a laser dynamics simulation using a cellular automata model are analyzed. Three distinct types of behavior have been found: laser constant operation, laser spiking ...
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      Computer vision techniques for forest fire perception  [Article]

      Martínez de Dios, José Ramiro; Arrue Ullés, Begoña C.; Ollero Baturone, Aníbal; Merino, L.; Gómez Rodríguez, Francisco de Asís (Elsevier, 2008)
      This paper presents computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation ...
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      Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors  [Article]

      Domínguez Morales, Juan Pedro; Jiménez Fernández, Ángel Francisco; Domínguez Morales, Manuel Jesús; Jiménez Moreno, Gabriel (IEEE Computer Society, 2017)
      Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the ...
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      Developing Efficient Discrete Simulations on Multicore and GPU Architectures  [Article]

      Cagigas-Muñiz, Daniel; Díaz del Río, Fernando; López-Torres, Manuel Ramón; Jiménez-Morales, Francisco de Paula; Guisado Lízar, José Luís (MDPI, 2020)
      In this paper we show how to efficiently implement parallel discrete simulations on multicoreandGPUarchitecturesthrougharealexampleofanapplication: acellularautomatamodel of laser dynamics. We describe the techniques employed ...
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      Development and Evaluation of a Python Telecare System Based on a Bluetooth Body Area Network  [Article]

      Morón Fernández, María José; Gómez Jaime, A.; Luque Giráldez, José Rafael; Casilari Pérez, Eduardo (Springer, 2011)
      This paper presents a prototype of a telemonitoring system, based on a BAN (Body Area Network) that is integrated by a Bluetooth (BT) pulse oximeter, a GPS (Global Positioning System) unit, and a smartphone. The smartphone ...
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      Diavideos: a Diabetes Health Video Portal  [Article]

      Sánchez Bocanegra, Carlos Luis; Rivero Rodríguez, A.; Fernández Luque, Luis; Sevillano Ramos, José Luis (IOS Press, 2013)
      Diavideos1 is a web platform that collects trustworthy diabetes health videos from YouTube and offers them in a easy way. YouTube is a big repository of health videos, but good content is sometimes mixed with misleading ...
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      Diseño e implementación de un simulador software basado en el procesador MIPS32  [Article]

      Rivas Pérez, Manuel; Domínguez Morales, Manuel Jesús; Gómez Rodríguez, Francisco de Asís; Linares Barranco, Alejandro; Jiménez Moreno, Gabriel; Civit Balcells, Antón (Universidad de Granada, 2015)
      La arquitectura de computadores es una asignatura de gran importancia actualmente en las titulaciones de Informática. Pero en muchas ocasiones, los estudiantes tienen problemas para comprender la materia debido a la falta ...
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      Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification  [Article]

      Linares Barranco, Alejandro; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Delbruck, Tobi (Cornell University, 2019)
      Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for classification tasks. Numerous hardware ...
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      Embedded neural network for real-time animal behavior classification  [Article]

      Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Cerezuela Escudero, Elena; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Rivas Pérez, Manuel; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Elsevier, 2018)
      Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain animals’ behavior information, resources like wireless sensor networks are needed. More- over, large ...
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      Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring  [Article]

      Larios Marín, Diego Francisco; Barbancho Concejero, Julio; Rodríguez Rodríguez, Gustavo Antonio; Sevillano Ramos, José Luis; Molina Cantero, Francisco Javier; León de Mora, Carlos (IET: The Institution of Engineering and Technology, 2012)
      The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an environmental monitoring process: specifically, water level measurements in flooded areas. This algorithm aims ...
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      Exergames versus self-regulated exercises with instruction leaflets to improve adherence during geriatric rehabilitation: a randomized controlled trial  [Article]

      Oesch, Peter; Kool, Jan; Fernández Luque, Luis; Brox, Ellen; Evertsen, Gunn; Civit Balcells, Antón; Hilfiker, Roger; Bachmann, Stefan (BMC, 2017)
      Background: Improving mobility in elderly persons is a primary goal in geriatric rehabilitation. Self-regulated exercises with instruction leaflets are used to increase training volume but adherence is often low. ...
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      Extending Amdahl's Law for the Cloud Computing Era  [Article]

      Díaz del Río, Fernando; Salmerón García, Javier Jesús; Sevillano Ramos, José Luis (IEEE Computer Society, 2016)
      By extending Amdahl's law, software developers can weigh the pros and cons of moving their applications to the cloud.
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      Finite State Machines With Input Multiplexing: A Performance Study  [Article]

      García Vargas, Ignacio; Senhadji Navarro, Raouf (IEEE Computer Society, 2015)
      Finite state machines with input multiplexing (FSMIMs) have been proposed in previous works as a technique for efficient mapping FSMs into ROM memory. In this paper, we propose a new architecture for implementing FSMIMs, ...
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      Finite Virtual State Machines  [Article]

      Senhadji Navarro, Raouf; García Vargas, Ignacio (Institute of Electronics, Information and Communication Engineers, 2012)
      This letter proposes a new model of state machine called Finite Virtual State Machine (FVSM). A memory-based architecture and a procedure for generating FVSM implementations from Finite State Machines (FSMs) are presented. ...
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      Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach  [Article]

      Larios Marín, Diego Francisco; Barbancho Concejero, Julio; Sevillano Ramos, José Luis; Rodríguez Rodríguez, Gustavo Antonio; Molina Cantero, Francisco Javier; González Gasull, Virginia; Mora-Merchán, Javier María; León de Mora, Carlos (2013)
      Wireless Sensor Networks (WSNs) are a technology that is becoming very popular for many applications, and environmental monitoring is one of its most important application areas. This technology solves the lack of flexibility ...