Search results for "objets"

M'as-tu vu ?

2022

Optimization of flat area coverage under connectivity constraint in wireless sensor networks

2022

A wireless sensor network consists of a set of small autonomous units that interact via a network built by their communication modules. They observe their environment, capture information, then manage this information according to their computing and/or storage capacity. To effectively accomplish their task(s), they need to cover as much of the area of interest as possible. It is therefore essential to quantify the quality of their coverage. In this thesis, we therefore seek to best cover an area of interest, with a precise number of sensors. While taking into account the possible overlaps between sensors, we first deploy in a zone of regular dimensions and evaluate the exact coverage using…

Analysis of the appropriation of a connected object : an experiential and dimensional approach

2022

The evolution and interactivity of connected objects promise a continuous improvement of the consumer experience, especially through the adaptation of the object and the development of its functionalities. But in some cases, the evolving nature of the object can lead to a situation where the user has to reappropriate it. Through a netnography and an analysis of life stories, this research studies the appropriation process in a dynamic way.The main contribution of this research is the identification of two dimensions (social and situational) and four forms of appropriation : autotelic, instrumental, individual and collective, which we bring closer to Lanier and Rader's (2015) measure of expe…

Semantic Analysis of the Driving Environment in Urban Scenarios

2021

Understanding urban scenes require recognizing the semantic constituents of a scene and the complex interactions between them. In this work, we explore and provide effective representations for understanding urban scenes based on in situ perception, which can be helpful for planning and decision-making in various complex urban environments and under a variety of environmental conditions. We first present a taxonomy of deep learning methods in the area of semantic segmentation, the most studied topic in the literature for understanding urban driving scenes. The methods are categorized based on their architectural structure and further elaborated with a discussion of their advantages, possibl…

Vehicle localization based on scene perception

2021

The vision-based vehicle localization task is tackled as an image-based place recognition problem in this thesis. As image representation is an important process to place recognition, we proposed place recognition methods focusing on increasing the quality of image features. First, the dynamic object removal step is proposed to remove the dynamic objects, such as vehicles and pedestrians, of an image by semantic segmentation method and restore their background information by image inpainting method. Second, reducing instead of removing the noisy information of an image is proposed. Using the image blurring method to reduce the image noise, the performance of place recognition is improved wi…

Deep Convolutional Neural Network Based Object Detection Inference Acceleration Using FPGA

2022

Object detection is one of the most challenging yet essential computer vision research areas. It means labeling and localizing all known objects of interest on an input image using tightly fit rectangular bounding boxes around the objects. Object detection, having passed through several evolutions and progressions, nowadays relies on the successes of image classification networks based on deep convolutional neural networks. However, as the depth and complication of convolutional neural networks increased, detection speed reduced, and accuracy increased. Unfortunately, most computer vision applications, such as real-time object tracking on an embedded system, requires lightweight, fast and a…

Etude et modélisation du comportement des gouttelettes de produits phytosanitaires sur les feuilles de vignes par imagerie ultra-rapide et analyse de…

2013

In the domain of vineyard precision spraying research, one of the most importantobjectives is to minimize the volume of phytosanitary products ejected bya sprayer in order to be more environmentally respectful with more effectivevine leaf treatments. Unfortunaltely, even if lot of works have been carriedout at a parcel scale, mainly on losses caused by drift, less works have beencarried out at the leaf scale in order to understand which parameters influencethe spray quality. Since few years, recent improvements in image processing,sensitivity of imaging systems and cost reduction have increased the interestof high-speed imaging techniques. Analyzing the behavior of droplets afterimpact with…

La cathédrale, un bien commun?

2011

Christian Sapin; International audience

Autonomous management of Quality of Service and security in an Internet of Things environment

2019

Nowadays, the Internet of Things (IoT) is becoming important in our daily lives thanks to technological advances. This paradigm aims to improve the quality of human life through automating several tasks. In this context, service level guarantee within IoT environments is a major challenge while considering a massive deployment of IoT applications and services as well as extending their usage to different domains. The IoT service level can be characterized in two parts: Quality of Service (QoS) and security. Moreover, this service level must be managed in an autonomic manner within the IoT environment given the heterogeneity and the size of its infrastructure making it difficult, even imposs…

Internet of things: an exploratory study of the co-creation of value

2016

Internet Of Things (IoT) provides consumers a continuous access to real-time notifications and data. Using the « Service-Dominant Logic Theory » framework (Vargo and Lusch, 2004), this paper aims to compare brands value propositions and consumer perceptions regarding bracelets and smart watches. Data analysis is based on two sets of data collections: the first concerns the content of eight manufacturers websites; the second comes from a non-participant observation of consumer opinions about connected devices (netnography). Results show a typology of gains and pains, significant interactions between the different value components and consumers’ compensation phenomena. Furthermore, discrepanc…