Space-time demand cube for spatial-temporal coverage optimization model of shared bicycle system: A study using big bike GPS data

2020 ◽  
Vol 88 ◽  
pp. 102861
Author(s):  
Lin Yang ◽  
Fayong Zhang ◽  
Mei-Po Kwan ◽  
Ke Wang ◽  
Zejun Zuo ◽  
...  

In order to improvement both system performances and data rate Multiple Input Multiple Output techniques play an important role in transmission system. A number of techniques are used to do the needful work for performance improvement in MIMO systems belongs to different block codes, apart from that BLAST architecture are used Such as Diagonal Bell laboratories layered space-time (D-BLAST), Vertical Bell Labs Space-Time Architecture (V-BLAST) method. This work defines the performance improvement using V-BLAST technique in Multiple Input Multiple Output detector. Here we discuss the concept of Multiple Input Multiple Output with BLAST architecture. Depends upon the Bit Error Rate and Frame Error Rate, the comparison is made with the existing methods.


2021 ◽  
Vol 89 (1) ◽  
Author(s):  
Pietro Benedusi ◽  
Paola Ferrari ◽  
Carlo Garoni ◽  
Rolf Krause ◽  
Stefano Serra-Capizzano

AbstractWe consider the space-time discretization of the diffusion equation, using an isogeometric analysis (IgA) approximation in space and a discontinuous Galerkin (DG) approximation in time. Drawing inspiration from a former spectral analysis, we propose for the resulting space-time linear system a multigrid preconditioned GMRES method, which combines a preconditioned GMRES with a standard multigrid acting only in space. The performance of the proposed solver is illustrated through numerical experiments, which show its competitiveness in terms of iteration count, run-time and parallel scaling.


2017 ◽  
Vol 11 (7) ◽  
pp. 391-401 ◽  
Author(s):  
Joshua Stipancic ◽  
Luis Miranda-Moreno ◽  
Aurélie Labbe ◽  
Nicolas Saunier

2019 ◽  
Vol 11 (8) ◽  
pp. 937 ◽  
Author(s):  
El Hachemi Bouali ◽  
Thomas Oommen ◽  
Rüdiger Escobar-Wolf

Velocity dictates the destructive potential of a landslide. A combination of synthetic aperture radar (SAR), optical, and GPS data were used to maximize spatial and temporal coverage to monitor continuously-moving portions of the Portuguese Bend landslide complex on the Palos Verdes Peninsula in Southern California. Forty SAR images from the COSMO-SkyMed satellite, acquired between 19 July 2012 and 27 September 2014, were processed using Persistent Scatterer Interferometry (PSI). Eight optical images from the WorldView-2 satellite, acquired between 20 February 2011 and 16 February 2016, were processed using the Co-registration of Optically Sensed Images and Correlation (COSI-Corr) technique. Displacement measurements were taken at GPS monuments between September 2007 and May 2017. Incremental and average deformations across the landslide complex were measured using all three techniques. Velocity measured within the landslide complex ranges from slow (> 1.6 m/year) to extremely slow (< 16 mm/year). COSI-Corr and GPS provide detailed coverage of m/year-scale deformation while PSI can measure extremely slow deformation rates (mm/year-scale), which COSI-Corr and GPS cannot do reliably. This case study demonstrates the applicability of SAR, optical, and GPS data synthesis as a complimentary approach to repeat field monitoring and mapping to changes in landslide activity through time.


2008 ◽  
Author(s):  
Nirav Shah ◽  
Subodha Kumar ◽  
Farokh Bastani ◽  
I-Ling Yen

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