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This protocol defines the procedure to conduct a systematic literature review on adaptive middleware support for the Internet of Things (IoT) and Cyber-physical Systems (CPS). The mentioned concepts deal with smart interactive objects which provide a set of services, but they look into the problem from various perspectives. We especially look into middleware design decisions for reactive/proactive adaptations. Following a systematic literature review (SLR) in the selection procedure, we selected 62 papers among 4,274 candidate studies. To this end, we applied the classification and extraction framework to select and analyze the most influential domain-related information. In addition to the academic database, we took advantage of the use-cases provided by our industrial partners within the CPS4EU 2 project. This document clarifies the primary studies' selection process. The analysis of the studies, discussion, and solution proposals will be presented separately in a journal article.

We tackle here the problem of multimodal image non-rigid registration, which is of prime importance in remote sensing and medical imaging. The difficulties encountered by classical registration approaches include feature design and slow optimization by gradient descent. By analyzing these methods, we note the significance of the notion of scale. We design easy-to-train, fully-convolutional neural networks able to learn scale-specific features. Once chained appropriately, they perform global registration in linear time, getting rid of gradient descent schemes by predicting directly the deformation.We show their performance in terms of quality and speed through various tasks of remote sensing multimodal image alignment. In particular, we are able to register correctly cadastral maps of buildings as well as road polylines onto RGB images, and outperform current keypoint matching methods.

Partie III - Mediterranean forest-based solutions. Chapter 12; International audience

International audience

In 2018, the EU Court of Justice ruled that gene edited organisms “are GMOs and are, in principle, subject to the obligations laid down by the GMO directive [EU Directive 2001/18/EC]”. While the EU Court of Justice has established an equivalence between gene edited organisms and GMOs, how have national institutions and committees from EU member states positioned themselves regarding the use of gene editing in agriculture? In order to answer this question, this article examines and compares 11 official reports and position statements from 7 European countries: Germany, France, the Netherlands, Italy, Spain, Denmark, and Sweden. The various kinds of issues that are addressed and argumentsthat are made in the reports are coded into large categories (innovation, risk, ethics, legislation, etc.) and are analysed. The paper discusses the main similarities and differences in terms of how the governance of gene editing is problematized. For instance, while some reports consider gene editing in terms of technology, risk and regulation, others situate gene editing within larger debates about agriculture, intellectual property, ethics, public participation, and the responsibility of scientists. The paper aims to provide a useful resource to broaden debates on the future regulation of gene editing within and beyond Europe. It also calls for an analysis of the objectification of gene editing: how are gene editedorganisms rendered tangible, discussable and public via policy processes? How are they tied to national territories, identities, histories or products and how does this (re)nationalizing of gene edited organisms matter within and beyond EU member states?

The recent and fast development of automatic transcription software is accompanied by a growing heterogeneity of formats to save the output of such a task. TEI P5 can be helpful to simplify workflows and bring in more coherence in digitization pipelines. We present a twofold modelization in TEI which brings together essential information resulting from the transcription phase with the editorial layers. The usefulness of this modelization is illustrated with several examples showing how such an approach can be leveraged at different stages of a digitization pipeline.

In Senegal, as in many developing countries, the agricultural sector plays a key role in the economy. As well as supplying food, agriculture is the most important source of employment, especially for women. Through the Plan for an Emerging Senegal (PES) the Senegalese government is implementing an ambitious financing plan to improve the productivity of the agricultural sector and to improve women's employment opportunities. Our study assesses the impact of two PES measures (investing in the agricultural sector and an increase in production subsidies for the agricultural sectors) on economic growth, women's employment, poverty and inequality using a dynamic computable general equilibrium model linked to a micro-simulation model. While on the one hand, we find that investing in the agricultural sectors has positive impacts on growth, improves women's work opportunities, decreases poverty and inequality both in the short and long term, however increasing production subsidies in the agricultural sectors has positive effects only in the short term and does not reduce inequality or poverty in the long term.

The rapid development in recent years of the Internet of Things has fostered the emergence of new models and services. Despite the numerous opportunities that the Internet of Things offers for services, there still remain major challenges to be addressed by companies. The aim of this paper is to provide a better understanding of antecedents of consumers’ resistance to smart services. Our findings show that two categories of factors have a significant impact on consumer resistance: (1) functional barriers (unauthorized secondary use of personal information, perceived health risk, and perceived security risk) and psychological barriers (technology anxiety, need for human interaction, and consumer empowerment).

This contribution documents the contrasting fate of three key actors of the retail industry since the mid-nineties: Carrefour, Wal-Mart and Amazon. Stylized facts about their respective financial trajectories and a description of their engagement with digitalization allow to identify their distinct dynamics. Through a combination of accounting, business and economic analyses, this paper clarifies the underlying logics of profit making in the context of retail digitalization and provides new insights concerning the role of fixed costs leveraging in the digital age.