Auto-RSM: An automated parameter-selection algorithm for the RSM map exoplanet detection algorithm [PDF]
Context. Most of the high-contrast imaging (HCI) data-processing techniques used over the last 15 years have relied on the angular differential imaging (ADI) observing strategy, along with subtraction of a reference point spread function (PSF) to generate exoplanet detection maps.
Dahlqvist, C.-H.+2 more
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Linearizable Replicated State Machines With Lattice Agreement [PDF]
This paper studies the lattice agreement problem in asynchronous systems and explores its application to building a linearizable replicated state machine (RSM).
Garg, Vijay K.+2 more
core +1 more source
I am in full agreement with Dr Walker.1 While the change from Proceedings of the RSM to JRSM was probably necessary I was opposed and, therefore, somewhat unpopular, at the time. In any case, it was never intended that there should be a complete cessation of reports from Sections or, better, of papers derived from Section proceedings.
openaire +2 more sources
Robust optimization in simulation: Taguchi and response surface methodology [PDF]
Optimization of simulated systems is tackled by many methods, but most methods assume known environments. This article, however, develops a `robust' methodology for uncertain environments.
Beyer+22 more
core +2 more sources
Optimal design of single-tuned passive filters using response surface methodology [PDF]
This paper presents an approach based on Response Surface Methodology (RSM) to find the optimal parameters of the single-tuned passive filters for harmonic mitigation.
Abdel Aleem, SHE+4 more
core +1 more source
Positive Feedback Keeps Duration of Mitosis Temporally Insulated from Upstream Cell-Cycle Events [PDF]
Cell division is characterized by a sequence of events by which a cell gives rise to two daughter cells. Quantitative measurements of cell-cycle dynamics in single cells showed that despite variability in G1-, S-, and G2 phases, duration of mitosis is ...
Araujo, AR+3 more
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Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters [PDF]
The production of a desired product needs an effective use of the experimental model. The present study proposes an extreme learning machine (ELM) and a support vector machine (SVM) integrated with the response surface methodology (RSM) to solve the complexity in optimization and prediction of the ethyl ester and methyl ester production process.
Shahaboddin Shamshirband+6 more
openaire +4 more sources
Modeling of acetosolv pulping of oil palm fronds using response surface methodology and wavelet neural networks [PDF]
Mathematical models based on response surface methodology (RSM) and wavelet neural networks (WNNs) in conjunction with a central composite design were developed in order to study the influence of pulping variables viz. acetic acid, temperature, time, and
Ibrahim, Mazlan+4 more
core +1 more source
Aerodynamic and RSM Analysis of Wingsuit Stability
A Wingsuit is a Skydiving Jumpsuit that generates more lift for longer flights. This study examined the effects of side slip angles on a beginner wingsuit at 106 Reynolds number. Experimental tests were determined by using the length of the model scale at angles of attack ranging from 0° to 40° and sideslip angles of up to 20°.
M. Nazemian Alaei, M. S. Valipour
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Advancements in Road Safety Management Analysis [PDF]
Road Safety Management (RSM) can be briefly defined as the tasks of preparing and implementing road safety policies. Many studies have been carried out on RSM, trying to identify success factors and reference best practice examples, but the complexity of
ALFONSI, RAFFAELE+3 more
core +1 more source