A survey of the connected vehicle landscape—Architectures, enabling technologies, applications, and development areas

JE Siegel, DC Erb, SE Sarma - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
This paper summarizes the state of the art in connected vehicles-from the need for vehicle
data and applications thereof, to enabling technologies, challenges, and identified …

Modelling key performance indicators in a gamified waste management tool

G Pappas, I Papamichael, A Zorpas, JE Siegel… - Modelling, 2021 - mdpi.com
Broader understanding of waste management has the potential to bring about broad societal
change impacting the climate crisis and public health. We present existing waste …

Selecting industrial IoT Platform for digital servitisation: a framework integrating platform leverage practices and cloud HBWM-TOPSIS approach

T Zhou, X Ming, Z Chen, R Miao - International Journal of …, 2023 - Taylor & Francis
Digital servitisation has emerged as an important strategy to enhance industrial companies'
competitiveness. Leveraging the IIoT (industrial internet of thing) platform is considered an …

A low-cost tire pressure loss detection framework using machine learning

L Wei, X Wang, L Li, L Yu, Z Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The tire pressure state directly affects the safety and economy of the vehicle. Its monitoring is
gradually becoming a necessary function for all types of vehicles. However, the existing …

Engine misfire detection with pervasive mobile audio

J Siegel, S Kumar, I Ehrenberg, S Sarma - Machine Learning and …, 2016 - Springer
We address the problem of detecting whether an engine is misfiring by using machine
learning techniques on transformed audio data collected from a smartphone. We recorded …

Automotive diagnostics as a service: An artificially intelligent mobile application for tire condition assessment

JE Siegel, Y Sun, S Sarma - … Intelligence and Mobile Services–AIMS 2018 …, 2018 - Springer
Vehicle tires must be maintained to assure performance, efficiency, and safety. Though
vehicle owners may monitor tread depth and air pressure, most are unaware of the safety …

Detection of Oil-Water Emulsions in Oil Samples Using Low-Cost UHF RFID Sensors

D Tellbach, JY Hu, R Bhattacharyya… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
A low-cost sensor integrating chipped ultrahigh-frequency radio frequency identification
(UHF RFID) and paper flow channels is designed to characterize water content (WC) in oil …

An in-tire-pressure monitoring SoC using FBAR resonator-based ZigBee transceiver and deep learning models

A Vasantharaj, N Nandhagopal… - Microprocessors and …, 2022 - Elsevier
In automobiles, tires play an important role in ensuring safe driving. Hence tire pressure
monitoring system (TPMS) has become the most important safety system in automobile …

Data proxies, the cognitive layer, and application locality: enablers of cloud-connected vehicles and next-generation internet of things

JE Siegel - 2016 - dspace.mit.edu
Intelligent and Connected Vehicles reduce cost, improve safety, and enhance comfort
relative to isolated vehicles. This ability for cars to sense, infer, and act facilitates data-driven …

Air filter particulate loading detection using smartphone audio and optimized ensemble classification

JE Siegel, R Bhattacharyya, S Kumar… - … Applications of Artificial …, 2017 - Elsevier
Automotive engine intake filters ensure clean air delivery to the engine, though over time
these filters load with contaminants hindering free airflow. Today's open-loop approach to air …