Article
Chemistry, Analytical
Qiushuo Wei, Feng Zha, Hongyang He, Bao Li
Summary: The study proposed a 30-position calibration scheme to improve the accuracy of an inertial navigation system and verified its feasibility and practical value.
Article
Engineering, Electrical & Electronic
Jincheol Ha, Yeongoh Ko, Jayoung Kim, Chang-Sei Kim
Summary: This paper proposes a new localization method using radio frequency signals to track the position and direction of a catheter. The method models the magnetic field generated by coils and derives a position tracking algorithm by comparing the theoretical induced electromotive force with the measured signal. A geometry calibration algorithm is developed to reduce geometric errors, and a Kalman filter is used to minimize the error of the estimated position. The proposed method is validated with simulations and experiments.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Engineering, Mechanical
Daniz Teymouri, Omid Sedehi, Lambros S. Katafygiotis, Costas Papadimitriou
Summary: This study develops a Bayesian Expectation-Maximization (BEM) methodology for uncertainty quantification and propagation in input-state-parameter-noise identification problems. The BEM improves identification accuracy through covariance matrix calibration, the use of input dummy observations, and an explicit formulation for minimum sensor requirements.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Industrial
Mehrdad Ebrahimi, Elnaz Nobahar, Reza Karami Mohammadi, Ehsan Noroozinejad Farsangi, Mohammad Noori, Shaofan Li
Summary: This work developed a framework for identifying frame-type structures considering measurement uncertainty and inherent and structural parameter uncertainties. The identification process was applied to a 1/8-scale four-story moment-resisting steel frame using two well-known recursive schemes: the Extended Kalman filter (EKF) and Unscented Kalman Filter (UKF) methods. The results showed that the UKF algorithm performed better in identifying nonlinear systems and determining unknown parameters compared to the EKF algorithm.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Mathematics
Flavia Antonacci, Cristina Costantini, Marco Papi
Summary: In this study, the joint evolution of inflation, central bank interest rate, and short-term interest rate is described using a model. A semi-closed valuation formula for contingent derivatives, particularly Zero Coupon Bonds (ZCBs), is derived under certain conditions. The model parameters are calibrated using the estimate of the short-term interest rate obtained through the Kalman filter, with the market values of German interest rate yields from 2007 to 2015 compared to the model predictions to validate both the model and the numerical procedure.
Article
Mathematics, Interdisciplinary Applications
Christopher Drovandi, Richard G. Everitt, Andrew Golightly, Dennis Prangle
Summary: Particle Markov chain Monte Carlo (pMCMC) is a popular method for Bayesian statistical inference on challenging state space models (SSMs) with unknown static parameters. This paper proposes to use the ensemble Kalman filter (EnKF) to speed up pMCMC and reduce computational cost while maintaining reasonable accuracy. The extended ensemble MCMC (eMCMC) methods are demonstrated to be effective in various non-linear SSM models.
Article
Engineering, Civil
Y. Sun, W. Bao, S. Qu, Q. Li, P. Jiang, Z. Zhou, P. Shi
Summary: This paper investigates the usefulness of the consider Kalman filter (CCKF) in hydrological modeling. The CCKF can improve the forecast performance of hydrological models by updating the states without updating the parameters. The results show that the CCKF is a more robust option for state estimation in the presence of parameter uncertainty.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Robert Clay, Jonathan A. Ward, Patricia Ternes, Le-Minh Kieu, Nick Malleson
Summary: The paper introduces a new method called RJUKF, which combines the UKF data assimilation algorithm with elements of the RJ Markov chain Monte Carlo method, allowing assimilation of both continuous and categorical parameters. This method demonstrates potential applications in crowd management through simulations.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Engineering, Industrial
Vladmir Polotski, Jean-Pierre Kenne, Ali Gharbi
Summary: This research proposes an estimation-based control approach using the Kalman filter to address the challenges of production control in hybrid manufacturing systems. Through extensive numerical studies, the effectiveness of adaptive policies in different system classes is proven.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Mathematics, Interdisciplinary Applications
Levent Ozbek
Summary: Sleep scoring in psychiatry is important for disease classification, investigation of sleep patterns, and treatment practices. Manual scoring by sleep specialists is difficult and time-consuming, leading to potential errors. Automatic spindle detection methods are not consensus due to variability in spindle characteristics. The use of Adaptive Extended Kalman Filter (AEKF) in separating EEG signals into trend and cycle components shows promising results for spindle detection.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Computer Science, Information Systems
Stefano Mutti, Nicola Pedrocchi
Summary: This work focuses on the calibration of geometrical kinematic parameters of a mobile platform using the unscented Kalman filter. During the calibration phase, the mobile platform is externally tracked by a fixed temporary external sensor to retrieve the position of a visual tag.
Article
Multidisciplinary Sciences
Kevin Course, Prasanth B. Nair
Summary: This study presents a state estimation technique based on approximate Bayesian approach, which learns the missing terms and state estimation in the mathematical model. It enables state estimation for physical systems with partially or completely unknown dynamical equations.
Article
Engineering, Multidisciplinary
Hongjun Hu, Haikuo Shen, Qian Pu
Summary: This paper discusses noise reduction and automatic calibration issues for a high-precision voltage measurement system. It proposes a modified Kalman filter to reduce measurement noise, constructs a self-calibration circuit to eliminate systematic errors in DC voltage measurements, and develops a wideband AC calibration model to overcome defects in AC voltage measurements. The measurement application demonstrates the effectiveness of the proposed methods.
Article
Automation & Control Systems
Juan J. Lopez Solorzano, Yuriy S. Shmaliy
Summary: This article proposes a robust RH H-2-FIR filter for uncertain system disturbances and demonstrates its superiority in quasi-periodic disturbed processes.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Xiaomao Hu, Zhanqing Wang
Summary: The limitations of compensating size effect by special structure design or structure design value are discussed in this article. The internal size effect and the rotation center size effect are considered, and the coupling between them is eliminated by the constraint of virtual point position. A 46D Kalman filter self-calibration model is developed to address the influence of other error sources on the size effect error calibration. Experimental results show that the accuracy of velocity can be significantly improved after compensating for the size effect error.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Construction & Building Technology
Simon Rouchier, Monika Woloszyn, Yannick Kedowide, Timea Bejat
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2016)
Article
Construction & Building Technology
Fraisse Gilles, Souyri Bernard, Axaopoulos Ioannis, Rouchier Simon
SUSTAINABLE CITIES AND SOCIETY
(2017)
Review
Construction & Building Technology
Simon Rouchier
ENERGY AND BUILDINGS
(2018)
Article
Construction & Building Technology
Simon Rouchier, Hans Janssen, Carsten Rode, Monika Woloszyn, Genevieve Foray, Jean-Jacques Roux
CONSTRUCTION AND BUILDING MATERIALS
(2012)
Article
Construction & Building Technology
Simon Rouchier, Genevieve Foray, Nathalie Godin, Monika Woloszyn, Jean-Jacques Roux
CONSTRUCTION AND BUILDING MATERIALS
(2013)
Article
Engineering, Civil
Simon Rouchier, Monika Woloszyn, Genevieve Foray, Jean-Jacques Roux
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING
(2013)
Article
Thermodynamics
Simon Rouchier, Monika Woloszyn, Genevieve Foray, Jean-Jacques Roux
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2013)
Article
Engineering, Chemical
Simon Rouchier, Genevieve Foray, Monika Woloszyn, Jean-Jacques Roux
TRANSPORT IN POROUS MEDIA
(2012)
Article
Energy & Fuels
Camille Pajot, Nils Artiges, Benoit Delinchant, Simon Rouchier, Frederic Wurtz, Yves Marechal
Article
Energy & Fuels
Sarah Juricic, Jeanne Goffart, Simon Rouchier, Aurelie Foucquier, Nicolas Cellier, Gilles Fraisse
Summary: This study introduces a method to evaluate the overall thermal resistance of a building envelope under variable weather conditions, showing that outdoor temperature and wind speed have a significant influence on the estimation results.
Article
Construction & Building Technology
Ali Esber, Xavier Faure, Francois Demouge, Etienne Wurtz, Simon Rouchier
Summary: This study aims to identify the cases where the quasi-static assumption can be made in ventilation network design and analysis, using stepwise boundary conditions and a unique graphical analysis method.
BUILDING AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Simon Rouchier
Summary: This study documents a Bayesian methodology for energy savings assessment at the facility scale and highlights the advantages of Bayesian methodology in measurement and verification. The new hidden Markov energy-signature model provides savings estimates with lower uncertainty.
Article
Energy & Fuels
Nils Artiges, Simon Rouchier, Benoit Delinchant, Frederic Wurtz
Summary: This study addresses the bias issue in urban building energy modeling, proposing a solution using static stochastic models for inference and validating the results through comparisons with deterministic building archetypes and European project stock data. The inferred stochastic models provide interesting insights into the French dwellings stock and show potential for district energy simulation in the future.
Article
Construction & Building Technology
Simon Rouchier, Thomas Busser, Mickael Pailha, Amandine Piot, Monika Woloszyn
BUILDING AND ENVIRONMENT
(2017)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)