Publications related to Scalable Bayesian optimization for model calibration: Case study on coupled building and HVAC dynamics

Related publications (20)

Source-Free Domain-Invariant Performance Prediction

Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data in their ...

Springer Nature2025

Technology Legalization and Optimization for Adiabatic Quantum-Flux Parametron

Giovanni De Micheli, Alessandro Tempia Calvino

Adiabatic quantum-flux parametron (AQFP) is an energy-efficient superconducting technology. Before physical design can be performed, AQFP technology mapping involves not only mapping logic into supported gate types but also legalizing the circuit to fulfil ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2025

Exploring journeys from sustainable design to design for sustainability

Marc Laperrouza

During the past two decades, educating students about sustainability issues has been a concern when designing engineering schools' curricula. One could think that nowadays students are trained to take into account the multiple dimensions of sustainability ...

European Society for Engineering Education (SEFI)2024

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Olga Fink, Hao Lu

Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring datasets that can be used to build diagnosis algorithms capable of warning ma ...

2024

Identifying Aerodynamics of Delta-Wing Drones for Model-Based Navigation: A Comparative Study

Jan Skaloud, Aman Sharma, Pasquale Longobardi

This paper presents a comparative analysis of two methodologies for estimating unknown parameters in a Vehicle Dynamic Model (VDM)-based sensor fusion framework for small drones. Focusing on a delta-wing drone, we conduct open-air wind tunnel experiments t ...

Institute of Electrical and Electronics Engineers (IEEE)2024

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Roland Schwan, Xuan Truong Nghiem

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Reduced order modeling of parametrized pulsatile blood flows: Hematocrit percentage and heart rate

Ricardo Reyes Sotomayor

This paper numerically evaluates the accuracy and performance of a stabilized finite element Reduced Order Modelling (ROM) approach that is designed to simulate pulsatile blood flows. The method is able to estimate fluid flow parametric solutions of intere ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Transmission and Distribution Equipment: Providing Intelligent Maintenance

Gaëtan Michel Frusque

One of the cornerstones of a reliable transmission and distribution (T&D) grid operation is fully functional components that can operate robustly and with a low outage rate under all specified operating conditions. Dependable maintenance strategies are thu ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Bond of steel reinforcement based on detailed measurements: Results and interpretations

Aurelio Muttoni, Enrique Corres Sojo

Rebar-to-concrete bond is a fundamental aspect of the behavior of reinforced concrete structures. The characterization of the interface response is challenging due to the complexity of the physical phenomena and the large number of factors involved. Locall ...

ERNST & SOHN2023

Community-Aware Group Testing

Christina Fragouli, Suhas Diggavi, Pavlos Nikolopoulos

Group testing is a technique that can reduce the number of tests needed to identify infected members in a population, by pooling together multiple diagnostic samples. Despite the variety and importance of prior results, traditional work on group testing ha ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Epitaxial growth of GeTe/Sb2Te3 superlattices

Rui Ning Wang

In the quest for superlattices with engineered interfaces for disruptive applications such as neuromorphic computing, we present a dedicated study on the epitaxial growth of nominal GeTe/Sb2Te3 chalcogenide superlattices (CSL) on the Sb passivated Si(111) ...

2022

Gait-dependent Traversability Estimation on the k-rock2 Robot

Auke Ijspeert, Matthew Alfonso Estrada

Assessing the traversability of rugged terrain is a difficult challenge for legged robots, especially when they implement multiple, distinct gaits. We tackle this problem on the k-rock2 amphibious, sprawling gait robot by training a gait-dependent traversa ...

IEEE2022

Operando X-ray diffraction study of thermal and phase evolution during laser powder bed fusion of Al-Sc-Zr elemental powder blends

Helena Van Swygenhoven, Samy Hocine

Elemental powder blends are an emerging alternative to prealloyed powders for high-throughput alloy design via additive manufacturing techniques. Elemental Al+Sc(+Zr) powder blends were processed by laser powder bed fusion into Al-Sc and Al-Sc-Zr alloys, w ...

2022

A critical review on N-modified TiO2 limits to treat chemical and biological contaminants in water. Evidence that enhanced visible light absorption does not lead to higher degradation rates under whole solar light

César Pulgarin

Intensive research has been focused on the synthesis of N-modified TiO2 materials having visible light absorption in order to get higher solar photocatalytic degradation rates of pollutants in water. However, an exhaustive revision of the topic underlines ...

ELSEVIER2022

Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization

Dimitrios Kyritsis, Jinzhi Lu

With the continuous improvement of system scale and complexity, model-based system engineering (MBSE) is of great importance in the practice of system engineering (SE). MBSE has been widely concerned in industry, especially in the field of complex equipmen ...

IEEE2022

Secret Key Generation Using Short Blocklength Polar Coding Over Wireless Channels

Yanina Yurina Shkel

This paper investigates the problem of secret key generation from correlated Gaussian random variables in the short blocklength regime. Short blocklengths are commonly employed in massively connected IoT sensor networks in 5G and beyond wireless systems. P ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Robotic automation and unsupervised cluster assisted modeling for solving the forward and reverse design problem of paper airplanes

Josephine Anna Eleanor Hughes, Kai Christian Junge, Nana Obayashi, Stefan Ilic

Although often regarded a childhood toy, the design of paper airplanes is subtly complex. The design space and mapping from geometry to distance flown is highly nonlinear and probabilistic where a single airplane design exhibits a multitude of trajectory f ...

Nature Research2022

Bayesian approach for validation of runaway electron simulations

Carl Mathias Paul Hoppe

Plasma-terminating disruptions in future fusion reactors may result in conversion of the initial current to a relativistic runaway electron beam. Validated predictive tools are required to optimise the scenarios and mitigation actuators to avoid the excess ...

Cambridge University Press2022

8x8 Programmable Multi-Beam Pattern Projection Based on Multicast Silicon Photonic MEMS Switches

Niels Quack

We present an arbitrary 8x8 beam pattern projection system based on a programmable grating coupler array with a Fourier lens. The static power consumption and the reconfiguration time are below 1 mu W and 10 mu s, respectively. (C) 2021 The Author(s) ...

IEEE2021

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems

Ali H. Sayed, Sulaiman A S A E Alghunaim

This work considers multi-agent sharing optimization problems, where each agent owns a local smooth function plus a non-smooth function, and the network seeks to minimize the sum of all local functions plus a coupling composite function (possibly non-smoot ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021