Publications related to Highest averages method

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approac ...

2023

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

Pierre Dillenbourg, Richard Lee Davis, Ramtin Yazdanian

The AI-driven Fourth Industrial Revolution and the COVID-19 pandemic have one important thing in common: they both have caused significant and rapid changes to the skill set landscape of various industries. These disruptive forces mean that the early ident ...

2021

New Approach for Making Standard the Development of Biosensing Devices by a Modular Multi-Purpose Design

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Ioulia Tzouvadaki, Francesca Criscuolo, Abuduwaili Tuoheti, Simone Aiassa

The fast widening of biosensing applications, such as healthcare, drug delivery, food, and military industries, is increasing the need for generality and compatibility among different sensors. To address this challenge, we present here an innovative approa ...

2020

Comparison of crack segmentation using digital image correlation measurements and deep learning

Katrin Beyer, Radhakrishna Achanta, Amir Rezaie, Michele Godio

Reliable methods for detecting pixels that represent cracks from laboratory images taken for digital image correlation (DIC) are required for two main reasons. Firstly, the segmented crack maps are used as an input for some DIC methods that are based on di ...

2020

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

Jan Wienold, Clotilde Marie A Pierson, Magali Bodart

Nowadays, discomfort glare indices are frequently calculated by using evalglare. Due to the lack of knowledge on the implications of the methods and parameters of evalglare, the default settings are often used. But wrong parameter settings can lead to inap ...

2018

Estimation of Phase and Its Higher Order Derivatives from a Single Complex Interferogram

Pramod Rastogi, Rishikesh Dilip Kulkarni

This paper reports a method for the simultaneous estimation of unwrapped phase and higher order phase derivatives from a single phase fringe pattern recorded in an optical interferometric setup, thereby overcoming substantial barriers to achieving such mea ...

2016

Controlling the Long-Range Corrections in Atomistic Monte Carlo Simulations of Two-Phase Systems

Dominic John Tildesley

The long-range correction to the surface tension can amount to up to 55% of the calculated value of the surface tension for cutoffs in the range of 2.1-6.4 sigma. The calculation of the long-range corrections to the surface tension and to the configuration ...

Amer Chemical Soc2015

Optimal Energy Management Strategy of an Improved Elevator With Energy Storage Capacity Based on Dynamic Programming

Alfred Rufer, Philippe Barrade

Efficiency and energy consumption reduction are becoming a key issue in elevation applications. Energy Storage Systems (ESS) can play a significant role in this field, together with their associated Energy Management Strategy (EMS) to optimize the overall ...

Institute of Electrical and Electronics Engineers2014

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Highest averages method

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

New Approach for Making Standard the Development of Biosensing Devices by a Modular Multi-Purpose Design

Comparison of crack segmentation using digital image correlation measurements and deep learning

Developing Attitude Measures Based on Respondents’ Representations of Unfamiliar Objects

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

Estimation of Phase and Its Higher Order Derivatives from a Single Complex Interferogram

Grasping for the Task

Controlling the Long-Range Corrections in Atomistic Monte Carlo Simulations of Two-Phase Systems

Optimal Energy Management Strategy of an Improved Elevator With Energy Storage Capacity Based on Dynamic Programming

Graph Chatbot

Chat with Graph Search

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

New Approach for Making Standard the Development of Biosensing Devices by a Modular Multi-Purpose Design

Developing Attitude Measures Based on Respondents’ Representations of Unfamiliar Objects

Comparison of crack segmentation using digital image correlation measurements and deep learning

Estimation of Phase and Its Higher Order Derivatives from a Single Complex Interferogram

Controlling the Long-Range Corrections in Atomistic Monte Carlo Simulations of Two-Phase Systems

Optimal Energy Management Strategy of an Improved Elevator With Energy Storage Capacity Based on Dynamic Programming

Grasping for the Task