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International audience; IoT devices are ubiquitous and widely adopted by end-users to gather personal and environmental data that often need to be put into context in order to gain insights. In particular, location is often a critical context information that is required by third parties in order to analyse such data at scale. However, sharing this information is i) sensitive for the user privacy and ii) hard to capture when considering indoor environments.This paper therefore addresses the challenge of producing a new location hash, named IndoorHash, that captures the indoor location of a user, without disclosing the physical coordinates, thus preserving their privacy. This location hash leverages surrounding infrastructure, such as WiFi access points, to compute a key that uniquely identifies an indoor location.Location hashes are only known from users physically visiting these locations, thus enabling a new generation of privacy-preserving crowdsourcing mobile applications that protect from third parties re-identification attacks. We validate our results with a crowdsourcing campaign of 30 mobile devices during 4 weeks of data collection.

International audience; Digital technologies have impacted almost every aspect of our society, including how people participate in activities that matter to them. Indeed, digital participation allows people to be involved in different societal activities at an unprecedented scale through the use of Information and Communication Technologies (ICT). Still, enabling participation at scale requires making it seamless for people to: interact with a variety of software platforms, get information from connected physical objects and software services, and communicate and collaborate with their peers. Toward this objective, this paper introduces and formalizes the concept of Social Participation Network, which captures the diverse participation relationships-between people, digital services and connected things-supporting participatory processes. The paper further presents the design of an associated online service to support the creation and management of Social Participation Networks. The design advocates the instantiation of Social Participation Networks within distinct participation contexts-spanning, e.g., private institutions, neighbor communities, and governmental institutions-so that the participants' information and contributions to participation remain isolated and private within the given context.

The characteristics of a digitization of a Euclidean planar shape depends on the digitization process but also on the shape border regularity. The notion of Local Turn Boundedness (LTB) was introduced by the authors in Le Quentrec, E. et al.: Local Turn-Boundedness: A curvature control for a good digitization, DGCI 2019 so as to have multigrid convergent perimeter estimation on Euclidean shapes. If it was proved that the par-regular curves are locally turn bounded, the relation with the quasi-regularity introduced in Ngo, P.et al.: Convexity-Preserving Rigid Motions of 2D Digital Objects, DGCI 2017 had not yet been explored. Our paper is dedicated to prove that for planar shapes, local turn-boundedness implies quasi-regularity.

The objective of robotics in surgery is evolving as systems are being redesigned to reach specific regions within specific organ systems. The next era for surgery will include reshaping and retooling robots to reach remote anatomic targets. While this includes the digitation of systems based on advancements in artificial intelligence, deep learning, and device automation, an important point of divergence from conventional laparoscopy and robotics will be the development and expansion of the role of nonlinear instruments to reach targets that are otherwise not possible to approach. This chapter explores the use of continuum and soft robotics via the major natural orifices, the bronchial tree, the cardiovascular system, and beyond.

International audience; Billions of sensor-enabled IoT devices generate extreme amounts of e- waste. Because of the low cost and short lifespan of electronic components, it is often more convenient for consumers to buy a new device instead of re-using or re-purposing the old one. With the increased computing and connectivity capabilities, IoT devices can already receive code updates for new purposes (and thus extend their lifespan), but the cost of such operations often exceeds the price of device replacement due to constrained resources, hindered network connectivity, and distributed placement. This paper describes how these existing capabilities can enable last-mile software deployment at scale. We propose a hierarchical architecture for provisioning software updates from the cloud to terminal devices via edge gateways in a scalable and targeted manner. By enabling such an end-to-end software deployment architecture, the approach promotes hardware re-use via re-purposing and thus contributes to the creation of a more sustainable IoT.

International audience; This article describes the basic concepts of vision-based control, that is, the use of visual data to control the motions of a robotics system. It describes the modeling steps allowing the design of kinematics control schemes. Applications are also described.

When architecting Software-intensive Systems-of-Systems (SoS) on the Internet-of-Things (IoT), architects face two sorts of uncertainties. First, they have only limited knowledge about the operational environment where the SoS will actually be deployed. Second, the constituent systems which will compose the SoS might not be known a priori (at design-time) or their availability (at run-time) is affected by dynamic factors, due to the openness of the IoT. The consequent research question is thereby how to deal with uncertainty in the design of an SoS architecture on the IoT. To tackle this challenging issue, this paper addresses the notion of uncertainty due to partial information in SoS and proposes an enhanced SoS Architecture Description language (SosADL) for expressing SoS architectures on the IoT under uncertainty. The core SosADL is extended with concurrent constraints and the concept of digital twins coupling the physical and virtual worlds. This novel approach is supported by an integrated toolset, the SosADL Studio. Validation results demonstrate its effectiveness in an SoS architecture for platooning of self-driving vehicles.

International audience; Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of functionexecution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.