References of "Debauche, Olivier"
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See detailInternet of Things: learning and practices. Application to Smart City
Debauche, Olivier ULiege; Mahmoudi, Saïd; Mahmoudi, Sidi Ahmed

in IEEE Explore (2019, May 13)

Internet of Things is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning Internet of ... [more ▼]

Internet of Things is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning Internet of Things technologies is becoming unavoidable in education. In this paper, we propose a practical approach allowing to progressively learn, by practice the essential concepts of Internet of Things applied to Smart Cities. From basic knowledge of python language and the use of microcontrollers Pycom such as LoPy, students can develop skills and also smart applications in the field of Internet of Things. [less ▲]

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See detailLA DÉPERDITION DES ABEILLES, LE SOS D’UN ENVIRONNEMENT EN DÉTRESSE
Debauche, Olivier ULiege; Mahmoudi, Saïd

Article for general public (2019)

Les abeilles sont des indicateurs de l’état de santé de l’environnement et, plus particulièrement, des insectes pollinisateurs. Ces derniers jouent un rôle crucial dans la production agricole ainsi qu’en ... [more ▼]

Les abeilles sont des indicateurs de l’état de santé de l’environnement et, plus particulièrement, des insectes pollinisateurs. Ces derniers jouent un rôle crucial dans la production agricole ainsi qu’en arboriculture et leur disparition impactera, à très court terme, l’équilibre des écosystèmes tout en remettant en question nos systèmes de productions agraires. [less ▲]

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See detailVACHES, PÂTURAGE ET ENVIRONNEMENT
Debauche, Olivier ULiege; Mahmoudi, Saïd

Article for general public (2019)

L’analyse comportementale des animaux à l’aide de dispositifs électroniques permet aux éleveurs d’être prévenus lorsqu’un problème survient et de réagir rapidement.

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See detailLE PIVOT INTELLIGENT SURVEILLE ET OPTIMISE LES BESOINS DES CULTURES
Debauche, Olivier ULiege; Mahmoudi, Sidi Ahmed

Article for general public (2019)

Les réseaux de capteurs sans fil, l’Internet des objets et l’intelligence artificielle apportent conjointement un appui non négligeable dans la gestion quotidienne des infrastructures agricoles et ... [more ▼]

Les réseaux de capteurs sans fil, l’Internet des objets et l’intelligence artificielle apportent conjointement un appui non négligeable dans la gestion quotidienne des infrastructures agricoles et contribuent à relever les défis de demain liés à la raréfaction des ressources, l’augmentation de la population ainsi que les changements climatiques [less ▲]

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See detailExperimental setup to monitor environment impact on LoRa transmissions.
Roland, François; Jovicic, Nicolas; Debauche, Olivier ULiege et al

Poster (2019, May)

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See detailGeolocation of Tools on Construction Sites and LoRa Performance
Roland, François; Debauche, Olivier ULiege; Filippi et al

Poster (2019, March)

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See detailMonitoring System Using Internet of Things For Potential Landslides
EL Moulat, Meryem; Debauche, Olivier ULiege; Mahmoudi, Saïd et al

in Procedia Computer Science (2018), 134

The North-Western RIF of Morocco is considered as one of the most mountainous zone in the Middle East and North Africa. This area is more serious in the corridor faults region, where the recent ... [more ▼]

The North-Western RIF of Morocco is considered as one of the most mountainous zone in the Middle East and North Africa. This area is more serious in the corridor faults region, where the recent reactivation of those tectonic layering may greatly contribute to the triggering of landslides. The consequences of this phenomenon can be enormous property damage and human casualties. Furthermore, this disaster can disrupt progress and destroy developmental efforts of government, and often pushing nations back by many years. In our previous works of Tetouan-Ras-Mazari region, we identified the areas that are prone to landslides by different methods like Weights of Evidence (WofE) and Logistic Regression (LR). In fact, these zones are built and susceptible. Undoubtedly, the challenge to save human lives is vital. For this reason, we develop a robust monitoring model as part of an alert system to evacuate populations in case of imminent danger risks. This model is ground-based remote monitoring system consist of more than just field sensors; they employ data acquisition units to record sensor measurements, automated data processing, and display of current conditions usually via the Internet of Things (IoT). To sum up, this paper outlines a new approach of monitoring to detect when hillslopes are primed for sliding and can provide early indications of rapid and catastrophic movement. It reports also continuous information from up-to-the-minute or real-time monitoring, provides prompt notification of landslide activities, advances our understanding of landslide behaviors, and enables more effective engineering and planning efforts. [less ▲]

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See detailInternet of Things: learning and practices. Application to Smart Home
Debauche, Olivier ULiege; Mahmoudi, Saïd; Belarbi, Mohammed Amin et al

Conference (2018, May 17)

Internet of Things is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market.

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See detailIrrigation Pivot-Center Connected At Low Cost For The Reduction Of Crop Water Requirements
Debauche, Olivier ULiege; El Moulat, Meryem; Mahmoudi, Saïd et al

Conference (2018, May 17)

Irrigation, particularly pivot-center, is widely used around the world to fill the need of crop watering. This method of irrigation has a low efficiency compared to other methods of irrigation such as ... [more ▼]

Irrigation, particularly pivot-center, is widely used around the world to fill the need of crop watering. This method of irrigation has a low efficiency compared to other methods of irrigation such as drip systems and generally they use water without consider the real need of plants. In this paper we propose an automation system based on the Internet of Things (IoT), Geographic Information System (GIS) and quasi real-time in the cloud of water requirements to improve the efficiency of water use. Indeed, each segment of the pivot-center moves at a different speed compared to others; thus, must be individually controlled to optimize the yield of irrigation. Moreover, it necessary to integrate factors such as stage of crops’ development, heterogeneity of soil, runoff, drainage, soil components, nutrients and moisture content. In this paper we develop a complete system integrating sensors, GIS, Internet of Things and cloud computing. This approach allows to automate fine-grained the consumption of water without decreasing the yield. In addition to that, the collect of data and the soil moisture measurement will allow to adapt coefficient of evapotranspiration to local weather without having to resort to lysimetric measures. The proposed architecture allows to store and treat real-time, time series data and low-priority data such as 3D images used in digital phenotyping field which are treated with batch processing. [less ▲]

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See detailCloud Services Integration For Farm Animals’ Behavior Studies Based On Smartphones As Activity Sensors
Debauche, Olivier ULiege; Mahmoudi, Saïd; Andriamandroso, Andriamasinoro Lalaina Herinaina et al

in Journal of Ambient Intelligence and Humanized Computing (2018)

Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development ... [more ▼]

Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users’ movements, but they can easily be diverted to analyze likewise the behaviors of domestic animals such as cattle. The study of animal behavior using smartphones requires the storage of many high frequency variables from a large number of individuals and their processing through various relevant variables combinations for modeling and decision-making. Transferring, storing, treating and sharing such an amount of data is a big challenge. In this paper, a lambda cloud architecture innovatively coupled to a scientific sharing platform used to archive, and process high-frequency data are proposed to integrate future developments of the Internet of Things applied to the monitoring of domestic animals. An application to the study of cattle behavior on pasture based on the data recorded with the IMU of iPhone 4s is exemplified. Performances comparison between iPhone 4s and iPhone 5s is also achieved. The package comes also with a web interface to encode the actual behavior observed on videos and to synchronize observations with the sensor signals. Finally, the use of Edge computing on the iPhone reduced by 43.5% on average the size of the raw data by eliminating redundancies. The limitation of the number of digits on individual variable can reduce data redundancy up to 98.5%. [less ▲]

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See detailWeb Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of Things
Debauche, Olivier ULiege; El Moulat, Meryem; Mahmoudi, Saïd et al

in Procedia Computer Science (2018, April 24), 130

The Colony Collapse Disorder (CCD) also entitled ‘Colony Loss’ has a significant impact on the biodiversity, on the pollination of crops and on the profitability. The Internet of Things associated with ... [more ▼]

The Colony Collapse Disorder (CCD) also entitled ‘Colony Loss’ has a significant impact on the biodiversity, on the pollination of crops and on the profitability. The Internet of Things associated with cloud computing offers possibilities to collect and treat a wide range of data to monitor and follow the health status of the colon. The surveillance of the animals’ pollination by collecting data at large scale is an important issue in order to ensure their survival and pollination, which is mandatory for food production. Moreover, new network technologies like Low Power Wide Area (LPWAN) or 3GPP protocols and the appearance on the market easily programmable nodes allow to create, at low-cost, sensors and effectors for the Internet of Things. In this paper, we propose a technical solution easily replicable, based on accurate and affordable sensors and a cloud architecture to monitor and follow bees’ behavior. This solution provides a platform for researchers to better understand and measure the impacts factors which lead to the mass extinction of bees. The suggested model is also a digital and useful tool for beekeepers to better follow up with their beehives. It helps regularly inspect their hives to check the health of the colony. The massive collection of data opens new research for a better understanding of factors that influence the life of bees. [less ▲]

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See detailCloud architecture for digital phenotyping and automation
Debauche, Olivier ULiege; Mahmoudi, Saïd; Manneback, Pierre et al

in IEEE Cloud Computing (2018, February 08)

Digital phenotyping presents a very important tool for scientists to measure with high accuracy the effects of external phenomena on plant development. Plant phenotyping is mainly based on imaging ... [more ▼]

Digital phenotyping presents a very important tool for scientists to measure with high accuracy the effects of external phenomena on plant development. Plant phenotyping is mainly based on imaging techniques. However, the number of images and parameters used to store and treat these parameters are continuously growing. Consequently, the high-throughput of data and the need of specific treatment in real or near real-time requires a large quantity of resources. Moreover, the increasing amount of particular phenotyping case studies needs the development of specific application. Cloud architectures offers means to store a wide range of numerous data and host a large quantity of specific software to process these data. In this paper, we propose to match digital phenotyping need and cloud possibilities in a lambda cloud architecture in order to store and treat this important amount of data. We also propose a data platform allowing to host applications and access to the stored data within the lambda architecture. The present application platform allows to use several frameworks with a fine-grained resource use of the cluster. We develop then a case study in a controlled environment system (growth chamber) where we grow basil plants. [less ▲]

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See detailCloud Platform using Big Data and HPC Technologies for Distributed and Parallels Treatments
Debauche, Olivier ULiege; Mahmoudi, Sidi; Mahmoudi, Saïd et al

in Procedia Computer Science (2018)

Smart farming is one of the most diverse researches. In addition, the quantity of data to be stored and the choice of the most efficient algorithms to process are important elements in this field. The ... [more ▼]

Smart farming is one of the most diverse researches. In addition, the quantity of data to be stored and the choice of the most efficient algorithms to process are important elements in this field. The storage of collected data from Internet of Things (IoT), existing on distributed, local databases and open data needs particular infrastructure to federate all these data in order to make complex treatments. The storage of this wide range of data that comes at high frequency and variable throughput is particularly difficult. In this paper, we propose the use of distributed databases and high-performance computing architecture in order to exploit multiple re-configurable computing and application specific processing such as CPUs, GPUs, TPUs and FPGAs efficiently. This exploitation allows an accurate training for an application to machine learning, deep learning and unsupervised modeling algorithms. The last ones are used for training supervised algorithms on images when it labels a set of images and unsupervised algorithms on IoT data which are unlabeled with variable qualities. The processing of data is based on Hadoop 3.1 MapReduce to achieve parallels processing and use containerization technologies to distribute treatments on Multi GPU, MIC and FPGA. This architecture allows efficient treatments of data coming from several sources with a cloud high-performance heterogeneous architecture. The proposed 4 layers infrastructure can also implement FPGA and MIC which are now natively supported by recent version of Hadoop. Moreover, with the advent of new technologies like Intel Movidius; it is now possible to deploy CNN at fog level in the IoT network and to make inference with the cloud and therefore limit significantly the network traffic that result on reducing the move of large amounts of data to the cloud. [less ▲]

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See detailLoRa & LoRaWAN de la théorie à la pratique
Debauche, Olivier ULiege

Conference given outside the academic context (2017)

LoRa & LoRaWan

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See detailImprovement of battery life of iPhones Inertial Measurement Unit by using edge computing Application to cattle behavior
Debauche, Olivier ULiege; Mahmoudi, Saïd; Manneback, Pierre et al

Conference (2017, October)

Smartphones, particularly iPhones, can be relevant instruments for researchers widely used around the world in multiple domains of applications such as animal behavior. iPhones are readily available on ... [more ▼]

Smartphones, particularly iPhones, can be relevant instruments for researchers widely used around the world in multiple domains of applications such as animal behavior. iPhones are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and absolute positioning systems analyzing users movements, but they can easily be diverted to analyze likewise the behaviors of domestic animals such as cattle. Using smartphones to study animal behavior requires the improvement of the autonomy to allow the acquisition of many variables at a high frequency over long periods of time on a large number of individuals for their further processing through various models and decision-making tools. Storing, treating data at the iPhone level with an optimal consumption of energy to maximize battery life was achieved by using edge computing on the iPhone. It reduced the size of the raw data by 42% on average by eliminating redundancies. The decrease in sampling frequency, the selection of the most important variables and postponing calculations to the cloud allowed also an increase in battery life by reducing of amount of data to transmit. [less ▲]

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See detailL’unité de croissance végétale automatisée
Debauche, Olivier ULiege; Bouazzati, Ibtissam

Article for general public (2017)

La démocratisation de la technologie de l’Internet des Objets permet aujourd’hui d’envisager des applications pour faciliter la vie quotidienne. Parmi ces applications, nous avons réalisé, dans le cadre ... [more ▼]

La démocratisation de la technologie de l’Internet des Objets permet aujourd’hui d’envisager des applications pour faciliter la vie quotidienne. Parmi ces applications, nous avons réalisé, dans le cadre du printemps des sciences 2017, une chambre de culture automatisée de plantes aromatiques également appelée phytotron. Dans cette enceinte, les facteurs de croissance sont régulés de manière optimale pour améliorer la production de matière végétale. Les paramètres environnementaux de l’enceinte sont transmis par Internet à un cloud distant depuis lequel les paramètres peuvent être consultés sous la forme de graphiques en ligne. La lumière est un des paramètres les plus importants dans la croissance des plantes avec la température et l’humidité du sol. [less ▲]

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See detailL’Internet des Objets met la lumière dans tous ses états
Mahmoudi, Saïd; Debauche, Olivier ULiege; El Adoui, Mohammed et al

Article for general public (2017)

De nombreux objets connectés commencent à faire leur apparition autour de nous à tel point que l’on en vient à se demander s’il est possible de rendre la lumière connectée et intelligente. Nous ... [more ▼]

De nombreux objets connectés commencent à faire leur apparition autour de nous à tel point que l’on en vient à se demander s’il est possible de rendre la lumière connectée et intelligente. Nous connaissons tous la domotique et le contrôle de la lumière à partir de dispositifs télécommandés. Avec les technologies émergentes de l’internet des objets, il est aujourd’hui possible d’envisager de nouvelles applications liées à la lumière et à son utilisation dans l’habitat. Grâce à la collaboration entre les objets connectés, des cas d’utilisation comme l’adaptation de la couleur et de l’intensité de la lumière en fonction des émotions des habitants identifiées à l’aide d’une caméra vidéo sont devenus facilement réalisables. [less ▲]

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See detailWeb-based animal behavior study service for researchers based on the smartphone inertial central
Debauche, Olivier ULiege; Mahmoudi, Saïd; Manneback, Pierre et al

Scientific conference (2017, March 07)

Smartphones, particularly Iphones, are equipped with high performance inertial units and absolute positioning systems that are traditionally used to measure user behavior. They are also very relevant ... [more ▼]

Smartphones, particularly Iphones, are equipped with high performance inertial units and absolute positioning systems that are traditionally used to measure user behavior. They are also very relevant instruments for researchers in animal behavior. In this work, a lambda cloud architecture and web services are developed to archive and process high-frequency data from the inertial center of an Iphone 4S using behavioral classification algorithms. In addition, a web interface for encoding behavior observed on videos allows to synchronize the observations with the measurements. [less ▲]

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See detailWeb-based cattle behavior service for researchers based on the smartphone inertial central
Debauche, Olivier ULiege; Mahmoudi, Saïd; Andriamandroso, Andriamasinoro ULiege et al

in Procedia Computer Science (2017), 110(C), 110-116

Smartphones, particularly iPhones, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development ... [more ▼]

Smartphones, particularly iPhones, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and absolute positioning systems analyzing users’ movements, but they can easily be diverted to analyze likewise the behaviors of domestic animals such as cattle. The study of animal behavior using smartphones requires the storage of many high frequency variables from a large number of individuals and their processing through various relevant variables combinations for modeling and decision-making. Transferring, storing, treating and sharing such an amount of data is a big challenge. In this paper, a lambda cloud architecture and a scientific sharing platform used to archive and process highfrequency data are proposed. An application to the study of cattle behavior on pasture on the basis of the data recorded with the IMU of iPhones 4S is exemplified. The package comes also with a web interface to encode the actual behavior observed on videos and to synchronize observations with the sensor signals. Finally, the use of fog computing on the iPhone reduced by 42% on average the size of the raw data by eliminating redundancies. [less ▲]

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See detailImpact de l’érosion sur l’envasement des barrages, la recharge des nappes phréatiques côtières et les intrusions marines dans la zone semi-aride méditerranéenne : cas du barrage de Boukourdane (Algérie)
Tadrist, Nassima ULiege; Debauche, Olivier ULiege

in Biotechnologie, Agronomie, Société et Environnement (2016), 20(4), 453-467

Description of the subject. Water erosion is a particularly important issue, especially in the Mediterranean and semi-arid zone. This zone is characterized by irregular rainfall patterns, which have a ... [more ▼]

Description of the subject. Water erosion is a particularly important issue, especially in the Mediterranean and semi-arid zone. This zone is characterized by irregular rainfall patterns, which have a considerable influence on soil loss. In mountainous areas, water erosion phenomena are accentuated by steep slopes and low ground cover. The dams draining these areas undergound siltation linked to significant erosion. The silting of the dams drastically limits their capacity and thus their operating life. When used for recharging aquifers, the resuspension of fine particles may accumulate in the recharge areas and reduce infiltration capacity by clogging soil porosity. This leads to a significant reduction of groundwater levels. Additionally, groundwater situated in the coastal zone is submitted to intensive pumping. These two phenomena make groundwater particularly sensitive to marine intrusions. Objectives. This article aims, on the one hand to quantify the rate of siltation in the case of the Boukourdane dam (northern Algeria), which is used to recharge groundwater. On the other hand, the article also shows the reduction in permeability in the capturing field with the current management of releases. Method. Solid rates were set in relation to the liquid flow and sediment concentration occasionally taken from the wadi. The relation established made it possible to evaluate the solid contributions to the dam of Boukourdane. The impact of the releases on recharging the well field was evaluated by grouping wells and the well field mushrooms using heuristic k-means. Regressions were applied to the piezometric variations of each group. Results. This dam is fed by a catchment area of 156 km². Sediment transport was estimated from empirical formulas. The specific degradation rate was estimated at 366 t.km-2.year-1 during the 1993 to 2005 period. The increase in the frequency of extreme rainfall resulted in an increase in the soil erosion rate to 446 t.km-2.year-1 during the 1993 to 2013 period. The volume of sediments accumulated in the dam reached 8.104 m³.year-1 and 11.104 m³.year-1 respectively during these two periods. Conclusions. A change in the management of current releases has a positive impact on the partial restoration of the hydraulic conductivity and de facto, on the fight against marine intrusion. [less ▲]

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