Ara es mostren els items 9936-9955 de 244457

    • Adaptive refinement for phase-field models of brittle fracture based on Nitsche's method 

      Muixí Ballonga, Alba; Fernández Méndez, Sonia; Rodríguez Ferran, Antonio (Springer, 2020-03-18)
      Article
      Accés obert
      A new adaptive refinement strategy for phase-field models of brittle fracture is proposed. The approach provides a computationally efficient solution to the high demand in spatial resolution of phase-field models. The ...
    • Adaptive refinement technique for discrete static models of fracture 

      Eliás, Jan (CIMNE, 2015)
      Text en actes de congrés
      Accés obert
      The discrete static models are advantageneously used for fracture simulations in heterogeneous materails. These simulations are often extremely computationally demanding. The contribution aims to reduction of computationa ...
    • Adaptive remeshing for industrial unsteady CFD 

      Limare, A.; Brenner, P.; Borouchaki, H. (CIMNE, 2015)
      Text en actes de congrés
      Accés obert
      FLUSEPA is an advanced simulation tool which performs a large panel of aerodynamicstudies. It is the unstructured finite-volume solver developed by Airbus Defence& Space tocalculate compressible, multidimensional, unsteady, ...
    • Adaptive request scheduling for the I/O forwarding layer using reinforcement learning 

      Bez, Jean Luca; Zanon Boito, Francieli; Nou Castell, Ramon; Miranda Bueno, Alberto; Cortés, Toni; Navaux, Philippe O.A. (Elsevier, 2020-11)
      Article
      Accés obert
      In this paper, we propose an approach to adapt the I/O forwarding layer of HPC systems to applications’ access patterns. I/O optimization techniques can improve performance for the access patterns they were designed to ...
    • Adaptive response surface approximation method for bayesian inference 

      Prudhomme, Serge; Bryant, Corey M. (CIMNE, 2015)
      Text en actes de congrés
      Accés obert
      The need for surrogate models and adaptive methods can be best appreciated if one is interested in parameter estimation using a Bayesian calibration procedure for validation purposes [1,2]. We extend our work on error ...
    • Adaptive runtime-assisted block prefetching on chip-multiprocessors 

      García Flores, Víctor; Rico Carro, Alejandro; Villavieja Prados, Carlos; Carpenter, Paul Matthew; Navarro, Nacho; Ramirez, Alex (2016-04-29)
      Article
      Accés obert
      Memory stalls are a significant source of performance degradation in modern processors. Data prefetching is a widely adopted and well studied technique used to alleviate this problem. Prefetching can be performed by the ...
    • Adaptive s-aloha cdma as an alternative way of integrating services in mobile environments 

      Sallent Roig, Oriol; Agustí Comes, Ramon (2000-05)
      Article
      Accés obert
      Code-division multiple-access (CDMA) schemes appear to be very promising access techniques for coping with the requirements of third-generation mobile systems, mainly because of their flexibility. This paper proposes an ...
    • Adaptive S-ALOHA CDMA as an alternative way of integrating services in mobile environments 

      Sallent Roig, Oriol; Agustí Comes, Ramon (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2000-05)
      Article
      Accés obert
      Code-division multiple-access (CDMA) schemes appear to be very promising access techniques for coping with the requirements of third-generation mobile systems, mainly because of their flexibility. This paper proposes an ...
    • Adaptive sampling for fast sparsity pattern recovery 

      Ramírez Javega, Francisco; Matas Navarro, David; Lamarca Orozco, M. Meritxell (2011)
      Text en actes de congrés
      Accés obert
      In this paper we propose a low complexity adaptive algorithm for lossless compressive sampling and reconstruction of sparse signals. Consider a sparse non-negative real signal x containing only k << n non-zero values. ...
    • Adaptive sampling methods for scaling up knowledge discovery algorithms 

      Domingo Soriano, Carlos; Gavaldà Mestre, Ricard; Watanabe, Osamu (2001-07)
      Report de recerca
      Accés obert
      One of the biggest research challenges in KDD and Data Mining is to develop methods that scale up well to large amounts of data. A possible approach for achieving scalability is to take a random sample and do data mining ...
    • Adaptive scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2011)
      Report de recerca
      Accés obert
      Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
    • Adaptive scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (IEEE Computer Society Publications, 2011)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
    • Adaptive schemes for packet data in a ds-cdma environment 

      Sallent Roig, Oriol; Agustí Comes, Ramon (IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC., 1997)
      Text en actes de congrés
      Accés obert
      This paper presents a novel adaptive DS-CDMA slotted-ALOHA packet random access scheme for improving the throughput of the conventional DS-CDMA slotted-ALOHA system. For this purpose a mobile-assisted algorithm is envisaged ...
    • Adaptive search heuristics for the generalized assignment problem 

      Ramalhinho Lourenço, Helena; Serra, Daniel (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2002)
      Article
      Accés obert
      The Generalized Assignment Problem consists of assigning a set of tasks to a set of agents at minimum cost. Each agent has a limited amount of a single resource and each task must be assigned to one and only one agent, ...
    • Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images 

      Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpí, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Minimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on ...
    • Adaptive self-mixing interferometry for metrology applications 

      Atashkhooei, Reza (Universitat Politècnica de Catalunya, 2013-11-04)
      Tesi
      Accés obert
      Among the laser based techniques proposed for metrology applications, classical interferometers offer the highest precision measurements. However, the cost of some of the elements involved and the number of optical components ...
    • Adaptive self-recurrent wavelet neural network and sliding mode controller/observer for a slider crank mechanism 

      Azar, Ahmad T.; Serrano, Fernando E.; Rossell Garriga, Josep Maria; Vaidyanathan, Sundarapandian; Zhu, Quanmin (InderScience Publishers, 2020-10-03)
      Article
      Accés obert
      In this paper, a novel control strategy based on an adaptive Self-Recurrent Wavelet Neural Network (SRWNN) and a sliding mode controller/observer for a slider crank mechanism is proposed. The aim is to reduce the tracking ...
    • Adaptive sensing and optimal power allocation for wireless video sensors with sigma-delta imager 

      Malijan, Marisa; Demirkol, Ilker Seyfettin; Maricic, Daniel (2010-10)
      Article
      Accés obert
      We consider optimal power allocation for wireless video sensors (WVSs), including the image sensor subsystem in the system analysis. By assigning a power-rate-distortion (P-R-D) characteristic for the image sensor, we build ...
    • Adaptive side-by-side social robot navigation to approach and interact with people 

      Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (2020-08)
      Article
      Accés obert
      This paper presents a new framework for how autonomous social robots approach and accompany people in urban environments. The method discussed allows the robot to accompany a person and approach to other one, by adapting ...
    • Adaptive simulation of unsteady flow past the submerged part of a floating wind turbine platform 

      Jansson, Johan; Nava, Vincenzo; Sanchez, Miren; Aguirre, Goren; Vilela de Abreu, Rodrigo; Hoffman, Johan; Villate, Jose Luis (CIMNE, 2015)
      Text en actes de congrés
      Accés obert
      Offshore floating platforms for wind turbines represent challenging concepts for design- ers trying to combine an optimal compromise between cost effectiveness and performance. Modelling of the hydrodynamic behaviour ...