Registered Data

[CT126]

  • Session Time & Room
    • CT126 (1/1) : 3C @E820 [Chair: Eilsabete Alberdi]
  • Classification
    • CT126 (1/1) : Algorithms in computer science (68W) / Numerical methods for integral equations, integral transforms (65R) / Computing methodologies and applications (68U)

[00788] Using multi-objective evolutionary algorithms when performing preventive maintenance actions

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E820
  • Type : Industrial Contributed Talk
  • Abstract : Maintenance has always been a key activity in the manufacturing industry, because of its economic consequences. Nowadays, its importance is increasing thanks to the ``Industry 4.0'' or the ``fourth industrial revolution'', which promotes automation through computer systems in manufacturing and aims to achieve intelligent or smart factory. There are more and more complex systems to maintain, and to keep all these devices in proper conditions maintenance management must gain efficiency and effectiveness. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, but it can be said that often these programs are complex to manage and understand, so several researches propose as simple as possible approaches that can be understood by users and modified by experts. With these context conditions, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. It develops a cost-benefit mathematical model that considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.
  • Classification : 68W50, 68T20, 90C59
  • Format : Talk at Waseda University
  • Author(s) :
    • Eilsabete Alberdi (University of the Basque Country UPV/EHU)
    • Aitor Goti (University of Deusto)
    • Aitor Oyarbide-Zubillaga (University of Deusto)
    • Pablo Garcia-Bringas (University of Deusto)
    • Ana Sánchez (Polytechnic University of Valencia)

[00904] Quadrature Methods and Error Estimates for Particles in Stokes Flow

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E820
  • Type : Contributed Talk
  • Abstract : For axisymmetric particles in Stokes flow, boundary integral methods can be utilized for numerical evaluation of flow velocity on and outside particle surfaces. Precomputation yields a highly efficient and accurate quadrature by expansion $($QBX$)$ method for singular integrals when evaluating on-surface. For evaluation close to the particle surface $($nearly singular integrals$)$, a line interpolation method aided by quadrature error estimates is introduced and compared to QBX in terms of both accuracy and efficiency.
  • Classification : 65Rxx, 65Dxx, 41Axx, 76-XX
  • Format : Talk at Waseda University
  • Author(s) :
    • Pritpal Matharu (KTH Royal Institute of Technology)
    • Anna-Karin Tornberg (KTH Royal Institute of Technology)

[02125] TNL: Numerical Library for Modern Parallel Architectures

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E820
  • Type : Contributed Talk
  • Abstract : TNL (www.tnl-project.org) is a collection of building blocks that facilitate the development of efficient numerical solvers and HPC algorithms. It is implemented in C++ using modern programming paradigms in order to provide a flexible and user-friendly interface similar to, for example, the C++ Standard Template Library. TNL provides native support for modern hardware architectures such as multicore CPUs, GPUs, and distributed systems, which can be managed via a unified interface. In our presentation, we will demonstrate the main features of the library together with efficiency of the implemented algorithms and data structures.
  • Classification : 68W99, 68U01, 65N99, High-performance computing
  • Format : Talk at Waseda University
  • Author(s) :
    • Tomáš Oberhuber (Czech Technical University in Prague)
    • Jakub Klinkovský (Czech Technical University in Prague)
    • Radek Fučík (Czech Technical University in Prague)

[02201] Total Variation and Undecimated Wavelet Approach to Chest Radiograph Image Enhancement

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E820
  • Type : Contributed Talk
  • Abstract : ABSTRACT Medical images are often corrupted by white noise, blurring and contrast defects. Consequently, important medical information may be degraded or completely masked. In this talk, I will discuss recent advances in the implementation of a total variation method and an undecimated wavelet image enhancing algorithm, as well as morphological techniques such as closing, thinning and pruning combined with wavelets methods, to improve the image quality and to extract target features from chest radiographs.
  • Classification : 68U10, 44A20, 46N10, Chest radiograph image enhancement, mathematical morphology, wavelet decomposition
  • Author(s) :
    • Anthony Y Aidoo (Eastern Connecticut State University)
    • Gloria Agyeiwaa Botchway (University of Ghana)
    • Matilda Acheampong Wilson (University of Ghana)