Comparison of computational prognostic methods for complex systems under dynamic regimes: a review of perspectives

O Bektas, J Marshall, JA Jones - Archives of Computational Methods in …, 2020 - Springer
Complex systems are expected to play a key role in the progress of Prognostics Health
Management but the breadth of technologies that will highlight gaps in the dynamic regimes …

Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective

Z Liu, L Zhang, Q Liu, Y Yin, L Cheng… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Accurate and infrastructure-free indoor positioning can be very useful in a variety of
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …

Personalized incentives for promoting sustainable travel behaviors

X Zhu, F Wang, C Chen, DD Reed - Transportation Research Part C …, 2020 - Elsevier
We develop a personalized system to modify individual travel behaviors by offering
personalized incentives. Individual preferences are learned to provide personalized …

Development of an embedded road boundary detection system based on deep learning

JW Perng, YW Hsu, YZ Yang, CY Chen… - Image and vision …, 2020 - Elsevier
The ability to sense the surrounding environment is an important developing technology in
the field of automated vehicles. Lane line detection could determine a vehicle's travelable …

Developing an on-road object detection system using monovision and radar fusion

YW Hsu, YH Lai, KQ Zhong, TK Yin, JW Perng - Energies, 2019 - mdpi.com
In this study, a millimeter-wave (MMW) radar and an onboard camera are used to develop a
sensor fusion algorithm for a forward collision warning system. This study proposed …

Simulation study of the particle filter and the EKF for state estimation of a large-scale DAE-system with multi-rate sampling

D Haßkerl, M Arshad, R Hashemi, S Subramanian… - IFAC-PapersOnLine, 2016 - Elsevier
In the present contribution we study the application of the Particle Filter (PF) and of the
Extended Kalman Filter (EKF) incorporating measurements at different sampling rates for the …

Enhanced particle-filtering framework for vessel segmentation and tracking

SH Lee, J Kang, S Lee - Computer methods and programs in biomedicine, 2017 - Elsevier
Background and Objectives A robust vessel segmentation and tracking method based on a
particle-filtering framework is proposed to cope with increasing demand for a method that …

Privacy performance of MIMO dual-functional radar-communications with internal adversary

IWG da Silva, DPM Osorio… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The co-design of radar sensing and communications in dual-functional radar communication
systems brings promising advantages for next generation wireless networks by providing …

Advanced diagnostics and anomaly detection for railroad safety applications: Using a wireless, IoT-enabled measurement system

DL Goodman, J Hofmeister… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
Accidents involving trains have been attributed to degraded track and rolling stock.
Detection of anomalies that indicate degraded condition is critical. In this paper we present …

An adaptive data filtering model for remaining useful life estimation

O Bektas - 2018 - wrap.warwick.ac.uk
The field of Prognostics and Health Management is becoming ever more important in the
modern maintenance era, with advanced techniques of automation and mechanisation …