Hexagonal Tiling based Multiple FPGAs Stencil Computation Acceleration and Optimization Methodology

2021 ◽  
Author(s):  
Jinyu Wang ◽  
Yifei Kang ◽  
Yiwen Li ◽  
Weiguo Wu ◽  
Song Liu ◽  
...  
Keyword(s):  
Stencil Computation ◽  
Optimization Methodology ◽  
Hexagonal Tiling

OpenCL-Based FPGA-Platform for Stencil Computation and Its Optimization Methodology

2017 ◽  
Vol 28 (5) ◽  
pp. 1390-1402 ◽  
Author(s):  
Hasitha Muthumala Waidyasooriya ◽  
Yasuhiro Takei ◽  
Shunsuke Tatsumi ◽  
Masanori Hariyama
Keyword(s):  
Stencil Computation ◽  
Optimization Methodology

A NOVEL OPTIMIZATION METHODOLOGY APPLIED TO PARAMETERS OF HEAT SOURCES IN WELDING NUMERICAL SIMULATIONS

2018 ◽  
Author(s):  
Rodrigo Martins Farias ◽  
Paulo Teixeira ◽  
Louriel Vilarinho
Keyword(s):  
Numerical Simulations ◽  
Heat Sources ◽  
Optimization Methodology

Data-Driven Optimization Methodology for Admission Control in Critical Care Units

2016 ◽  
Author(s):  
Amirhossein Meisami ◽  
Jivan Deglise-Hawkinson ◽  
Mark Cowen ◽  
Mark P. Van Oyen
Keyword(s):  
Critical Care ◽  
Admission Control ◽  
Data Driven ◽  
Critical Care Units ◽  
Optimization Methodology

scholarly journals A novel design and performance optimization methodology for hydraulic Cross-Flow turbines using successive numerical simulations

2021 ◽  
Vol 169 ◽  
pp. 1402-1421
Author(s):  
Goodarz Mehr ◽  
Mohammad Durali ◽  
Mohammad Hadi Khakrand ◽  
Hadi Hoghooghi
Keyword(s):  
Numerical Simulations ◽  
Performance Optimization ◽  
Cross Flow ◽  
Optimization Methodology ◽  
And Performance ◽  
Novel Design

scholarly journals Hybrid Optimization Based Mathematical Procedure for Dimensional Synthesis of Slider-Crank Linkage

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1581
Author(s):  
Alfonso Hernández ◽  
Aitor Muñoyerro ◽  
Mónica Urízar ◽  
Enrique Amezua
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Linear Equations ◽  
Optimization Procedure ◽  
Optimization Techniques ◽  
Dimensional Synthesis ◽  
Hybrid Strategy ◽  
Dimensional Parameters ◽  
Optimization Methodology ◽  
Crank Mechanism

In this paper, an optimization procedure for path generation synthesis of the slider-crank mechanism will be presented. The proposed approach is based on a hybrid strategy, mixing local and global optimization techniques. Regarding the local optimization scheme, based on the null gradient condition, a novel methodology to solve the resulting non-linear equations is developed. The solving procedure consists of decoupling two subsystems of equations which can be solved separately and following an iterative process. In relation to the global technique, a multi-start method based on a genetic algorithm is implemented. The fitness function incorporated in the genetic algorithm will take as arguments the set of dimensional parameters of the slider-crank mechanism. Several illustrative examples will prove the validity of the proposed optimization methodology, in some cases achieving an even better result compared to mechanisms with a higher number of dimensional parameters, such as the four-bar mechanism or the Watt’s mechanism.

scholarly journals Performance Optimization Methodology for Discrete-Time Sliding Mode Control in Industrial Servo Systems Under Control Input Saturation and Disturbance

2020 ◽  
Vol 53 (2) ◽  
pp. 9112-9117
Author(s):  
Ji-Seok Han ◽  
Tae-Ho Oh ◽  
Young-Seok Kim ◽  
Hyun-Taek Lim ◽  
Dae-Young Yang ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Performance Optimization ◽  
Sliding Mode ◽  
Input Saturation ◽  
Control Input ◽  
Servo Systems ◽  
Mode Control ◽  
Optimization Methodology

Structural design of a morphing serpentine inlet using a multi-material topology optimization methodology

2021 ◽  
Author(s):  
Evan Munroe ◽  
Rubens Bohrer ◽  
Wajid Ali Chishty ◽  
Il Yong Kim
Keyword(s):  
Topology Optimization ◽  
Structural Design ◽  
Optimization Methodology

scholarly journals Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

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