Retour au site du LAAS-CNRS
Laboratoire d’analyse et d’architecture des systèmes
Publications de l'équipe S4M
64documents trouvés
Procédé et dispositif informatiques de surveillance continue d'un réseau de canalisation d'eaux résiduaires
H.BERTRAND, A.ESTEVE, E.CAMPO, B.JAMMES
Valcap Valence Capteur, NEO, S4M, ISGE
Brevet : FR3049623 (A1), Février 2019 , N° 16412
Lien : https://hal.archives-ouvertes.fr/hal-02004772
Diffusable
Plus d'informations
Résumé
L'invention concerne un procédé et un dispositif informatiques de surveillance continue d'un réseau de canalisations de circulation d'eaux résiduaires. Au moins une canalisation (12) est dotée d'au moins un capteur (14) d'écoulement. Un modèle nominal du capteur pour un état normal sans fuite est enregistré en l'absence de pluie sur une période de référence comprenant une plage nocturne entre T00:00 et T06:00 heure locale. Au moins un indicateur d'infiltration/exfiltration représentatif d'écoulements anormaux d'infiltration/exfiltration est élaboré par comparaison entre des signaux délivrés parle capteur d'écoulement et le modèle nominal dans la plage nocturne.
Smart wearable active patch for elderly health prevention
C.ESCRIBA, J.ROUX, B.HAJJINE, J.Y.FOURNIOLS
S4M
Manifestation avec acte : Annual Conference on Computational Science & Computational Intelligence ( CSCI ) 2018 du 13 décembre au 15 décembre 2018, Las Vegas (USA), Décembre 2018 , N° 18592
Lien : https://hal.laas.fr/hal-02015896
Diffusable
Plus d'informations
Abstract
This paper presents the development of a miniaturized electronic patch for dependent persons and elderly surveillance. This waterproof system can be wirelessly charged using magnetic induction and is able to automatically detect fall cases, ensure a GPS geolocation, and trigger alarms based on Sigfox low consumption network.
A connected soil humidity and salinity sensor for precision agriculture
J.ROUX, J.Y.FOURNIOLS, G.SOTO ROMERO, C.ESCRIBA
S4M
Manifestation avec acte : Annual Conference on Computational Science & Computational Intelligence ( CSCI ) 2018 du 13 décembre au 15 décembre 2018, Las Vegas (USA), Décembre 2018, 4p. , N° 18623
Lien : https://hal.laas.fr/hal-02015850
Diffusable
Plus d'informations
Abstract
The new methods for the agriculture have to improve the irrigation systems. Nowadays, an important part of irrigation water is wasted. A new connected agriculture needs to reduce that wastage by creating a sustainable agriculture. To achieve that goal, we need to control the soil moisture to perfectly adapt the water supply. This paper presents a new connected sensor to monitor in real time the irrigation impact on the fields. The challenges for this new system are the ease of installation, the cost and the network coverage. This work describes the design of this system and its results in fields.
Toward soil smart sensing in v3.0 agriculture: a new original single-shape design for a capacitive moisture and salinity sensor
J.ROUX, C.ESCRIBA, J.Y.FOURNIOLS, M.CONTARDO, P.ACCO, G.SOTO ROMERO
S4M, TCSD Company
Rapport LAAS N°18397, Décembre 2018, 19p.
Lien : https://hal.laas.fr/hal-01925577
Diffusable
Plus d'informations
Abstract
To rationalise the amount of water needed to irrigate cultivated fields, modern agriculture imposes the need for better knowledge of the soil moisture content. In this context, since current technological solutions do not correspond to criteria of cost or use, this paper presents a design for a new original capacitive bi-functional sensor to measure soil moisture and salinity. In this paper, we outline all the stages of the design, from simulation to finished elements of the optimal design to deployment in the fields, taking into consideration the constraints of mechanical integration necessary for its industrialisation. Measurement electronics have been developed on the basis of an electric model of the sensor in order to obtain double measurement. Then, an on-site (field lot) measurement program was carried out to validate the good performance of the system in real time. Finally, this performance was matched with that of leading industrial sensors on the market. This work clearly demonstrates that, after deployment of the sensors, the overall system makes it possible to obtain a precise image of the hydric condition of cultivated soil, with the best response time.
A new bi-frequency soil smart sensing moisture and salinity for connected sustainable agriculture
J.ROUX, C.ESCRIBA, J.Y.FOURNIOLS, G.SOTO ROMERO
S4M
Rapport LAAS N°18396, Décembre 2018, 2p.
Lien : https://hal.laas.fr/hal-01925585
Diffusable
Plus d'informations
Abstract
Optimizing water consumption is a major challenge for a more sustainable agriculture with respect for the environment. By combining micro and nanotechnologies with the offered solutions of IoT connection (Sigfox and LoRa), new sensors allow the farmer to be connected to his agricultural production by mastering in real time the right contribution needed in water and fertilizer. The sensor designed in this research allows a double measurement of soil moisture and salinity. In order to minimize the destructuring of the ground to insert the sensor, we have designed a cylindrical sensor, easy to insert, with its electronics inside its body to propose a low power electronic architecture capable of measuring and communicating wireless with a LoRa or Sigfox network or even the farmer's cell phone. This new smart sensor is then compared to the current leaders in agriculture to validate its performance.
Modelling the electrical behaviour of carbon/epoxy composites and monitoring changes in their microstructure during oven and autoclave curing using electrical impedancemetry
M.MOUNKAILA, S.SASSI, A.HAMADI, P.MARGUERES, P.OLIVIER, C.ESCRIBA, T.CAMPS
MICA, ICA, EXT, S4M
Revue Scientifique : Smart Materials and Structures, Décembre 2018 , N° 18624
Lien : https://hal-mines-albi.archives-ouvertes.fr/hal-01827391
Diffusable
Plus d'informations
Abstract
Developing technical means in the aim to monitoring the state and the microstructural changes in high performances composite parts during their manufacturing has aroused the interest of several researchers and companies. Here it is proposed to use the composite laminated part itself as a sensor of the changes occurring in its own microstructure during curing owing to electrical impedancemetry. A new and detailed modelling of 3D electrical behaviour of unidirectional (U.D.) carbon/epoxy composite is settled considering inter-plies and intra-plies conduction. Electrical impedance (Z) measurement performed on composites laminates during their curing enabled a full characterisation of a U.D. single ply as well as an 8 plies laminate. Changes recorded in Z are next successfully correlated to composite thermoset matrix viscosity, gelation and vitrification showing thus the power of impedancemetry.
An Overview of Basics Speech Recognition and Autonomous Approach for Smart Home IOT Low Power Devices
J.Y.FOURNIOLS, N.NASREDDINE, C.ESCRIBA, P.ACCO, J.ROUX, G.SOTO ROMERO
S4M
Revue Scientifique : Journal of Signal and Information Processing, Vol.9, N°4, pp.239-257, Novembre 2018 , N° 18370
Lien : https://hal.laas.fr/hal-01916886
Diffusable
Plus d'informations
Abstract
La reconnaissance du discours, souvent inexactement appelée reconnaissance vocale, est un logiciel basé dans un ordinateur qui analyse les signaux audios capturés par un microphone et la traduit dans un langage compréhensible par la machine. Le traitement du discours est basé sur des méthodes qui nécessitent un CPU local ou du traitement en ligne grâce à un lien Internet. Un mot d'activation initie le traitement ("OK Google", "Alexa", ...) et l'analyse de la voix n'est pas adapté pour une architecture avec un CPU autonome limité (microcontrôleur 16 bits) avec une basse consommation. Pour atteindre cette réalisation, cet article présente des méthodes spécifiques et détaille une commande vocale optimisée et compatible avec un système IOT autonome basse consommation.
Advanced thermopile IR dual line sensor for smart home
C.ESCRIBA, J.ROUX, G.SOTO ROMERO, P.ACCO, D.BOURRIER, E.CAMPO, J.Y.FOURNIOLS
S4M, TEAM
Revue Scientifique : Vol.8, N°4, Novembre 2018 , N° 18400
Lien : https://hal.laas.fr/hal-01916914
Diffusable
Plus d'informations
Abstract
This article presents all steps between the advanced design and the production of CMOS compatible thermoelectric effect infrared sensors dedicated to smart home applications. It will start by making a comparison between thermopile, bolometer and pyroelectric technologies. Although sensitivity performances available with bolometers appear to be better at first sight, it is found that thermopiles have non-negligible advantages that make them more suitable for this application field. Then the different steps necessary for the design will be described, starting from the thermoelectric model of the sensor (temperature gradient, electrical sensitivity, etc.) and considering all steps up to technological manufacturing in a clean room. The results obtained on the structures produced on a specific computer-controlled measurement bench (temperature regulation with an onboard preamplification card) will be presented. Finally, the results prove that the square structures have better performances (S = 82 V/W and NETD = 208 mK).
Artificial Intelligence for Health: Towards more intelligence or more artificial medicine?
G.SOTO ROMERO, C.ESCRIBA, P.ACCO, E.CAMPO, J.Y.FOURNIOLS
S4M
Revue Scientifique : Current Trends Biomedical Engineering & Biosciences, Vol.16, N°5, Octobre 2018 , N° 18533
Lien : https://hal.archives-ouvertes.fr/hal-01997228
Diffusable
146358Impact of calibration on indoor positionning precision
X.TOLZA, P.ACCO, J.Y.FOURNIOLS
S4M
Manifestation avec acte : International Conference on Indoor Positioning and Indoor Navigation ( IPIN ) 2018 du 24 septembre au 27 septembre 2018, Nantes (France), Septembre 2018, 4p. , N° 18333
Lien : https://hal.laas.fr/hal-01887434
Diffusable
Plus d'informations
Abstract
Internet of Things (IOT) business has raised a strong interest in assets positioning. While outdoor positioning mostly uses a Global Navigation Satellite System (GNNS) system, those are inoperable in indoor situations. Indoor positioning has been a very active field of study for the last decades and many approaches have been proposed, however those solutions are very often complex to deploy at industrial grade, due to complexity or cost of the hardware or the algorithms. Moreover, deploying those solution often requires a complex and expensive calibration setup such as fingerprinting to establish a radio map of the room. In this study, we focus on Bluetooth Low Energy (BLE) Received Signal Strength Indication (RSSI) positioning using maximum likelihood estimate and Cramer-Ro Lower Bound (CRLB) with the widely used Log-Distance Path Loss (LDPL) model to determine the impact of the calibration setup on the accuracy and precision of the position. Results are then matched with real BLE measurements made in an industrial-like environment.