9,397 research outputs found

    Flying green from a carbon neutral airport : the case of Brussels

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    The aviation sector is one of the fastest growing emitters of greenhouse gases worldwide. In addition, airports have important local environmental impacts, mainly in the form of noise pollution and deterioration in air quality. Although noise nuisance in the vicinity of airports is recognized as an important problem of the urban environment which is often addressed by regulation, other environmental problems associated with aviation are less widely acknowledged. In the climate debate, the importance of which is rising, aviation has remained under the radar for decades. In the present paper, we use the case of Brussels Airport (Belgium) to demonstrate that the local perception of air travel-related environmental problems may be heavily influenced by the communication strategy of the airport company in question. Basing our analysis on publicly available data, communication initiatives, media reports, and policy documents, we find that (1) the noise impact of aviation is recognized and mainly described in an institutionalized format, (2) the impact of aviation on local air quality is ignored, and (3) the communication on climate impact shows little correspondence or concern with the actual effects. These findings are relevant for other airports and sectors, since the type of environmental communication produced by airport companies can also be observed elsewhere

    Integrating big data into a sustainable mobility policy 2.0 planning support system

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    It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations

    End-to-end security for video distribution

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    Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)

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    The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between international scientific teams by disseminating ideas through both specific oral/poster presentations and free discussions. For its second edition, the iTWIST workshop took place in the medieval and picturesque town of Namur in Belgium, from Wednesday August 27th till Friday August 29th, 2014. The workshop was conveniently located in "The Arsenal" building within walking distance of both hotels and town center. iTWIST'14 has gathered about 70 international participants and has featured 9 invited talks, 10 oral presentations, and 14 posters on the following themes, all related to the theory, application and generalization of the "sparsity paradigm": Sparsity-driven data sensing and processing; Union of low dimensional subspaces; Beyond linear and convex inverse problem; Matrix/manifold/graph sensing/processing; Blind inverse problems and dictionary learning; Sparsity and computational neuroscience; Information theory, geometry and randomness; Complexity/accuracy tradeoffs in numerical methods; Sparsity? What's next?; Sparse machine learning and inference.Comment: 69 pages, 24 extended abstracts, iTWIST'14 website: http://sites.google.com/site/itwist1

    Automatic Detection of Online Jihadist Hate Speech

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    We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning. The system is trained on a corpus of 45,000 subversive Twitter messages collected from October 2014 to December 2016. We present a qualitative and quantitative analysis of the jihadist rhetoric in the corpus, examine the network of Twitter users, outline the technical procedure used to train the system, and discuss examples of use.Comment: 31 page

    CoESS’ Facts and Figures 2013

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    Self-Supervised and Controlled Multi-Document Opinion Summarization

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    We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control. We propose a self-supervised setup that considers an individual document as a target summary for a set of similar documents. This setting makes training simpler than previous approaches by relying only on standard log-likelihood loss. We address the problem of hallucinations through the use of control codes, to steer the generation towards more coherent and relevant summaries.Finally, we extend the Transformer architecture to allow for multiple reviews as input. Our benchmarks on two datasets against graph-based and recent neural abstractive unsupervised models show that our proposed method generates summaries with a superior quality and relevance.This is confirmed in our human evaluation which focuses explicitly on the faithfulness of generated summaries We also provide an ablation study, which shows the importance of the control setup in controlling hallucinations and achieve high sentiment and topic alignment of the summaries with the input reviews.Comment: 18 pages including 5 pages appendi

    Democracy and Digital Authoritarianism: An Assessment of the EU’s External Engagement in the Promotion and Protection of Internet Freedom. College of Europe EU Diplomacy Paper 01/2020

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    The past decade has seen a gradual global increase in digital authoritarianism. Internet shutdowns, online censorship, mass surveillance and violations of privacy rights have all become more frequent in parts of the world where citizens are not guaranteed sufficient digital rights. The task of defending, promoting and protecting internet freedom is becoming increasingly relevant for the European Union (EU) − for internal digital and cybersecurity policies as well as for the EU’s external promotion of democracy and human rights. Whilst much has been written about the various internal policies which establish and protect internet freedom within the European Union and its member states, the EU’s external engagement in this field remains critically under-researched. To what extent does the EU engage externally in the promotion and protection of internet freedom? This paper answers this question by covering a wide variety of policy fields including human rights and democracy promotion, digital policy, enlargement and neighbourhood policy, development cooperation and trade policy. Whereas the EU faces a limited opportunity to shape global norms with regard to internet freedom or to change the course of digitally authoritarian states, it has demonstrated several strengths which deserve not to be overlooked. These include, for example, the externalisation of internal data protection and policies and the provision of direct support and protection for civil society. Despite facing significant obstacles, the promotion and protection of internet freedom has become an important area of the EU’s external action which is only set to become more relevant in the coming years

    From Sensor to Observation Web with Environmental Enablers in the Future Internet

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    This paper outlines the grand challenges in global sustainability research and the objectives of the FP7 Future Internet PPP program within the Digital Agenda for Europe. Large user communities are generating significant amounts of valuable environmental observations at local and regional scales using the devices and services of the Future Internet. These communities’ environmental observations represent a wealth of information which is currently hardly used or used only in isolation and therefore in need of integration with other information sources. Indeed, this very integration will lead to a paradigm shift from a mere Sensor Web to an Observation Web with semantically enriched content emanating from sensors, environmental simulations and citizens. The paper also describes the research challenges to realize the Observation Web and the associated environmental enablers for the Future Internet. Such an environmental enabler could for instance be an electronic sensing device, a web-service application, or even a social networking group affording or facilitating the capability of the Future Internet applications to consume, produce, and use environmental observations in cross-domain applications. The term ?envirofied? Future Internet is coined to describe this overall target that forms a cornerstone of work in the Environmental Usage Area within the Future Internet PPP program. Relevant trends described in the paper are the usage of ubiquitous sensors (anywhere), the provision and generation of information by citizens, and the convergence of real and virtual realities to convey understanding of environmental observations. The paper addresses the technical challenges in the Environmental Usage Area and the need for designing multi-style service oriented architecture. Key topics are the mapping of requirements to capabilities, providing scalability and robustness with implementing context aware information retrieval. Another essential research topic is handling data fusion and model based computation, and the related propagation of information uncertainty. Approaches to security, standardization and harmonization, all essential for sustainable solutions, are summarized from the perspective of the Environmental Usage Area. The paper concludes with an overview of emerging, high impact applications in the environmental areas concerning land ecosystems (biodiversity), air quality (atmospheric conditions) and water ecosystems (marine asset management)
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