Results 21 to 30 of about 369,296 (265)

A Hamiltonian Engine for Radiotherapy Optimization [PDF]

open access: yes2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
We apply a new hardware and software platform called the Hamiltonian Engine for Radiotherapy Optimization (HERO) to the problem of Intensity-Modulated Radiation Therapy (IMRT) treatment planning. HERO solves large general-form binary optimization problems by decomposing them into sub-problems and approximating them using a quadratic pseudo-boolean ...
Mehrdad Malekmohammadi   +5 more
openaire   +2 more sources

Surrogate-Assisted Design of Checkerboard Metasurface for Broadband Radar Cross-Section Reduction

open access: yesIEEE Access, 2021
Metasurfaces have been extensively exploited in stealth applications to reduce radar cross section (RCS). They rely on the manipulation of backward scattering of electromagnetic (EM) waves into various oblique angles.
Muhammad Abdullah, Slawomir Koziel
doaj   +1 more source

New Complementary Resonator for Permittivity- and Thickness-Based Dielectric Characterization

open access: yesSensors, 2023
The design of high-performance complementary meta-resonators for microwave sensors featuring high sensitivity and consistent evaluation of dielectric materials is challenging.
Tanveerul Haq, Slawomir Koziel
doaj   +1 more source

Reliability-based global optimization using response surface

open access: yesNihon Kikai Gakkai ronbunshu, 2021
Reliability-based design optimization (RBDO) is one of design optimization techniques considering uncertainty and has gained attention in the engineering design.
Makoto ITO, Satoshi KITAYAMA
doaj   +1 more source

Optimal planning method of design project based on risk assessment model with task option

open access: yesNihon Kikai Gakkai ronbunshu, 2017
The product design project includes many uncertainties. It causes risk that a project target cannot be accompolished within lead time. In order to flexibly handle the uncertainty and avoid the risk, adaptive planning that can switch easily to another ...
Yutaka NOMAGUCHI   +3 more
doaj   +1 more source

Surrogate Model-Based Parameter Tuning of Simulated Annealing Algorithm for the Shape Optimization of Automotive Rubber Bumpers

open access: yesApplied Sciences, 2022
A design engineer has to deal with increasingly complex design tasks on a daily basis, for which the available design time is shrinking. Market competitiveness can be improved by using optimization if the design process can be automated.
Dávid Huri, Tamás Mankovits
doaj   +1 more source

Forging with optimal back-pressure profile using sequential approximate optimization

open access: yesNihon Kikai Gakkai ronbunshu, 2014
This paper proposes a method for determining optimal back-pressure profile in forging using a sequential approximate optimization (SAO). In forging, it is important to minimize an unfilled area for improving the product quality. To achieve this objective,
Masato OKADA   +7 more
doaj   +1 more source

Development of rapid heating cycle molding using heater and process parameters optimization

open access: yesNihon Kikai Gakkai ronbunshu, 2023
Plastic injection molding (PIM) is a manufacturing technology to plastic products, and it is important to determine optimal process parameters for high product quality and high productivity.
Shogo TSURITA   +5 more
doaj   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Engineering optimization by constrained differential evolution with nearest neighbor comparison

open access: yesVietnam Journal of Mechanics, 2016
It has been proposed to utilize nearest neighbor  comparison to reduce the number of function evaluations in unconstrained  optimization. The nearest neighbor comparison omits the function evaluation  of a point when the comparison can be judged by its ...
Pham Hoang Anh
doaj   +1 more source

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