Adrien Hoffet
						 				EPFL IC IINFCOM LCAV 
 BC 325 (Bâtiment BC) 
 Station 14 
 1015 Lausanne
									
Web site: Web site: https://lcav.epfl.ch/
Publications
Infoscience publications
GeoAware: A Hybrid Indoor and Outdoor Localization
GeoAware: A Hybrid Indoor and Outdoor Localization Agent for Smart Buildings - Infoscience <script type="text/javascript" src="https://people.epfl.ch/legacy//js/jquery.min.js"></script> <script type="text/javascript" src="https://people.epfl.ch/legacy//js/tind.js?425ae572c71e1fce6a7cb4b88d683e2b"></script> login| Home > GeoAware: A Hybrid Indoor and Outdoor Localization Agent for Smart Buildings | 
 GeoAware: A Hybrid Indoor and Outdoor Localization Agent for Smart Buildings
Lilis, Georgios ; Hoffet, Adrien ; Kayal, Maher ; Kyriakides, E ; Kyriacou, E ; Paschalidou, A ; Loizou, C ; Pattichis, Cs ; Ellinas, G ; Louca, S ; Mavromoustakis, C ; Michael, D ; Vassiliou, V ; Hadjichristofi, G ; Georgiou, J ; Panayiotou, C
Localizing, identifying and authenticating the individual occupants is of paramount importance for the future intelligent buildings. Although the performance of outdoor positioning systems is sufficiently good, the indoor ones have still to converge to a universal interoperable technology. This paper proposes a hybrid, unified localization architecture for indoor and outdoor tracking of the building occupants. By taking advantage of the smartphones and their recent near field communication (NFC) capabilities; a low cost, accurate and scalable localization solution is proposed. This system is a module of an existing, modern building management system (BMS) to which it offers location-aware, energy and comfort management capabilities. The solution is currently deployed as a medium scale trial; therefore, the self-energy use, reliability, ease of use and the privacy requirements are of paramount importance. The system analysis in this paper additionally includes accuracy and battery impact assessment in real-world use cases and location-aware building management operations.
                
            
        
    
        
                
            
                
             
        
        
            
            
            
                
                
                
GeoAware: A Hybrid Indoor and Outdoor Localization Agent for Smart Buildings
Lilis, Georgios ; Hoffet, Adrien ; Kayal, Maher ; Kyriakides, E ; Kyriacou, E ; Paschalidou, A ; Loizou, C ; Pattichis, Cs ; Ellinas, G ; Louca, S ; Mavromoustakis, C ; Michael, D ; Vassiliou, V ; Hadjichristofi, G ; Georgiou, J ; Panayiotou, C
Localizing, identifying and authenticating the individual occupants is of paramount importance for the future intelligent buildings. Although the performance of outdoor positioning systems is sufficiently good, the indoor ones have still to converge to a universal interoperable technology. This paper proposes a hybrid, unified localization architecture for indoor and outdoor tracking of the building occupants. By taking advantage of the smartphones and their recent near field communication (NFC) capabilities; a low cost, accurate and scalable localization solution is proposed. This system is a module of an existing, modern building management system (BMS) to which it offers location-aware, energy and comfort management capabilities. The solution is currently deployed as a medium scale trial; therefore, the self-energy use, reliability, ease of use and the privacy requirements are of paramount importance. The system analysis in this paper additionally includes accuracy and battery impact assessment in real-world use cases and location-aware building management operations.
Editor(s):Kyriakides, E
Kyriacou, E
Paschalidou, A
Loizou, C
Pattichis, Cs
Ellinas, G
Louca, S
Mavromoustakis, C
Michael, D
Vassiliou, V
Hadjichristofi, G
Georgiou, J
Panayiotou, C Published in: Proceedings Of The 18Th Mediterranean Electrotechnical Conference Melecon 2016 Presented at: 18th Mediterranean Electrotechnical Conference (MELECON), Limassol, CYPRUS, APR 18-20, 2016 Year:2016 Publisher: New York, Ieee ISSN: 2158-8481 ISBN: 978-1-5090-0058-6 Keywords:Smart Building ; Indoor Localization ; Outdoor Localization ; BMS ; IoT Other identifiers:View record in Web of Science Laboratories: ELAB
Record appears in:Scientific production and competences > STI - School of Engineering > IEL - Institute of Electrical Engineering > ELAB - Electronics Laboratory
Conference Papers
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Back to search Record created 2017-01-24, last modified 2019-08-12
Rate this document:
Rate this document: 1 2 3 4 5 (Not yet reviewed) <script type="text/javascript" src="https://people.epfl.ch/legacy//js/jquery.bookmark.min.js"></script> About Infoscience | Contact | Accessibility | Legal notice © 2004-2018 EPFL all rights reserved Powered by TIND <script type="text/javascript" src="https://cdn.jsdelivr.net/combine/npm/lightgallery,npm/lg-autoplay,npm/lg-fullscreen,npm/lg-hash,npm/lg-pager,npm/lg-share,npm/lg-thumbnail,npm/lg-video,npm/lg-zoom"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery-mousewheel/3.1.13/jquery.mousewheel.min.js"></script> <script async src='https://www.googletagmanager.com/gtag/js?id=UA-4833294-1'>
Teaching Practical DSP with Off-the-Shelf Hardware
Teaching Practical DSP with Off-the-Shelf Hardware and Free Software - Infoscience <script type="text/javascript" src="https://people.epfl.ch/legacy//js/jquery.min.js"></script> <script type="text/javascript" src="https://people.epfl.ch/legacy//js/tind.js?425ae572c71e1fce6a7cb4b88d683e2b"></script> login| Home > Teaching Practical DSP with Off-the-Shelf Hardware and Free Software | 
 Teaching Practical DSP with Off-the-Shelf Hardware and Free Software
Bezzam, Eric ; Hoffet, Adrien ; Prandoni, Paolo
In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algorithms that provide immediate and engaging feedback to the students. At the same time, our end goal is to build a learning module that can be easily reproduced by fellow instructors and used in our Massive Open Online Course (MOOC). We use Python for the initial algorithmic prototyping and then transition to a hardware implementation using an STMicroelectronics' Nucleo-64 core with Adafruit I/O breakout boards. We employ modern documentation tools based on Git and Markdown in order to share the material and the exercises, allowing students and educators to access, reproduce, and contribute changes to the content.
                
            
        
    
        
                
            
                
             
        
        
            
            
            
                
                
                
Teaching Practical DSP with Off-the-Shelf Hardware and Free Software
Bezzam, Eric ; Hoffet, Adrien ; Prandoni, Paolo
In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algorithms that provide immediate and engaging feedback to the students. At the same time, our end goal is to build a learning module that can be easily reproduced by fellow instructors and used in our Massive Open Online Course (MOOC). We use Python for the initial algorithmic prototyping and then transition to a hardware implementation using an STMicroelectronics' Nucleo-64 core with Adafruit I/O breakout boards. We employ modern documentation tools based on Git and Markdown in order to share the material and the exercises, allowing students and educators to access, reproduce, and contribute changes to the content.
Presented at: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019 Year:Nov 01 2018 Keywords:Digital signal processing ; education ; off-the-shelf hardware ; freely-available software ; audio Additional link:Website; GitHub repository Laboratories: LCAV
Record appears in:Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > LCAV - Audio Visual Communications Laboratory
Scientific production and competences > Euler Center for Signal Processing
Conference Papers
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- Fulltext: dsp_labs_icassp_2019 - PDF;
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Back to search Record created 2018-11-01, last modified 2019-08-12
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Rate this document: 1 2 3 4 5 (Not yet reviewed) <script type="text/javascript" src="https://people.epfl.ch/legacy//js/jquery.bookmark.min.js"></script> About Infoscience | Contact | Accessibility | Legal notice © 2004-2018 EPFL all rights reserved Powered by TIND <script type="text/javascript" src="https://cdn.jsdelivr.net/combine/npm/lightgallery,npm/lg-autoplay,npm/lg-fullscreen,npm/lg-hash,npm/lg-pager,npm/lg-share,npm/lg-thumbnail,npm/lg-video,npm/lg-zoom"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery-mousewheel/3.1.13/jquery.mousewheel.min.js"></script> <script async src='https://www.googletagmanager.com/gtag/js?id=UA-4833294-1'>