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See detailUsing Machine Learning to Speed Up the Design Space Exploration of Ethernet TSN networks
Navet, Nicolas UL; Mai, Tieu Long UL; Migge, Jörn

Report (2019)

In this work, we ask if Machine Learning (ML) can provide a viable alternative to conventional schedulability analysis to determine whether a real-time Ethernet network meets a set of timing constraints ... [more ▼]

In this work, we ask if Machine Learning (ML) can provide a viable alternative to conventional schedulability analysis to determine whether a real-time Ethernet network meets a set of timing constraints. Otherwise said, can an algorithm learn what makes it difficult for a system to be feasible and predict whether a configuration will be feasible without executing a schedulability analysis? In this study, we apply standard supervised and unsupervised ML techniques and compare them, in terms of their accuracy and running times, with precise and approximate schedulability analyses in Network-Calculus. We show that ML techniques are efficient at predicting the feasibility of realistic TSN networks and offer new trade-offs between accuracy and computation time especially interesting for design-space exploration algorithms. [less ▲]

Detailed reference viewed: 392 (39 UL)
Peer Reviewed
See detailUsing mathematical symbols at the beginning of the arithmetical and algebraic learning
Fagnant, Annick; Vlassis, Joëlle UL; Crahay, Marcel

in Powerful environments for promoting deep conceptual and strategic learning (2005)

Detailed reference viewed: 45 (3 UL)
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See detailUsing metabolic networks to resolve ecological properties of microbiomes
Muller, Emilie UL; Faust, Karoline; Widder, Stefanie et al

in Current Opinion in Systems Biology (2018)

The systematic collection, integration and modelling of high-throughput molecular data (multi-omics) allows the detailed characterisation of microbiomes in situ. Through metabolic trait inference ... [more ▼]

The systematic collection, integration and modelling of high-throughput molecular data (multi-omics) allows the detailed characterisation of microbiomes in situ. Through metabolic trait inference, metabolic network reconstruction and modelling, we are now able to define ecological interactions based on metabolic exchanges, identify keystone genes, functions and species, and resolve ecological niches of constituent microbial populations. The resulting knowledge provides detailed information on ecosystem functioning. However, as microbial communities are dynamic in nature the field needs to move towards the integration of time- and space-resolved multi-omic data along with detailed environmental information to fully harness the power of community- and population-level metabolic network modelling. Such approaches will be fundamental for future targeted management strategies with wide-ranging applications in biotechnology and biomedicine. [less ▲]

Detailed reference viewed: 155 (18 UL)
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See detailUsing mindfulness to support people with dementia and their carers
Tournier, Isabelle UL

Scientific Conference (2016)

Detailed reference viewed: 38 (2 UL)
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See detailUsing mobile phone data for urban network state estimation
Derrmann, Thierry; Frank, Raphaël UL; Engel, Thomas UL et al

Scientific Conference (2018, June)

Detailed reference viewed: 78 (4 UL)
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See detailUsing Models to Enable Compliance Checking against the GDPR: An Experience Report
Torre, Damiano UL; Soltana, Ghanem UL; Sabetzadeh, Mehrdad UL et al

in Proceedings of the IEEE / ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS 19) (2019, September)

The General Data Protection Regulation (GDPR) harmonizes data privacy laws and regulations across Europe. Through the GDPR, individuals are able to better control their personal data in the face of new ... [more ▼]

The General Data Protection Regulation (GDPR) harmonizes data privacy laws and regulations across Europe. Through the GDPR, individuals are able to better control their personal data in the face of new technological developments. While the GDPR is highly advantageous to citizens, complying with it poses major challenges for organizations that control or process personal data. Since no automated solution with broad industrial applicability currently exists for GDPR compliance checking, organizations have no choice but to perform costly manual audits to ensure compliance. In this paper, we share our experience building a UML representation of the GDPR as a first step towards the development of future automated methods for assessing compliance with the GDPR. Given that a concrete implementation of the GDPR is affected by the national laws of the EU member states, GDPR’s expanding body of case laws and other contextual information, we propose a two-tiered representation of the GDPR: a generic tier and a specialized tier. The generic tier captures the concepts and principles of the GDPR that apply to all contexts, whereas the specialized tier describes a specific tailoring of the generic tier to a given context, including the contextual variations that may impact the interpretation and application of the GDPR. We further present the challenges we faced in our modeling endeavor, the lessons we learned from it, and future directions for research. [less ▲]

Detailed reference viewed: 424 (48 UL)
See detailUsing modern technology to support museum activities. Case study: Estonians Deported to Siberia: Soviet Red Terror 1940-1960
Uueni, Andres; Pagi, Hembo; Sikk, Kaarel UL et al

in ICOM, Milano 2016 (2016)

Detailed reference viewed: 44 (0 UL)
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See detailUsing multi-member panels to tackle RSD complexities
Hambly, Jessica; Gill, Nick; Vianelli, Lorenzo UL

in Forced Migration Review (2020), (65), 32-35

Detailed reference viewed: 29 (5 UL)
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See detailUsing Mutants to Locate "Unknown" Faults
Papadakis, Mike UL; Le Traon, Yves UL

in ICST 2012 (2012)

Detailed reference viewed: 196 (5 UL)
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See detailUsing Ontologies to Model Data Protection Requirements in Workflows
Bartolini, Cesare UL; Muthuri, Robert UL; Cristiana, Santos

Scientific Conference (2015, November)

Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize ... [more ▼]

Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize semantic standards towards the prospective legal framework. The aim of this paper is to provide a bottom-up ontology describing the constituents of data protection domain and its relationships. Our contribution envisions a methodology to highlight the (new) duties of data controllers and foster the transition of IT-based systems, services/tools and businesses to comply with the new General Data Protection Regulation. This structure may serve as the foundation in the design of present and future information systems abiding to data protection legal requirements. [less ▲]

Detailed reference viewed: 312 (16 UL)
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See detailUsing Ontologies to Model Data Protection Requirements in Workflows
Bartolini, Cesare UL; Muthuri, Robert; Cristiana, Santos

in Otake, Mihoko; Kurahashi, Setsuya; Ota, Yuiko (Eds.) et al New Frontiers in Artificial Intelligence (2017)

Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize ... [more ▼]

Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize semantic standards towards the prospective legal framework. The aim of this paper is to provide a bottom-up ontology describing the constituents of data protection domain and its relationships. Our contribution envisions a methodology to highlight the (new) duties of data controllers and foster the transition of IT-based systems, services, tools and businesses to comply with the new General Data Protection Regulation. This structure may serve as the foundation for the design of data protection compliant information systems. [less ▲]

Detailed reference viewed: 160 (20 UL)
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See detailUsing opcode-sequences to detect malicious Android applications
Jerome, Quentin UL; Allix, Kevin UL; State, Radu UL et al

in IEEE International Conference on Communications, ICC 2014, Sydney Australia, June 10-14, 2014 (2014, June)

Recently, the Android platform has seen its number of malicious applications increased sharply. Motivated by the easy application submission process and the number of alternative market places for ... [more ▼]

Recently, the Android platform has seen its number of malicious applications increased sharply. Motivated by the easy application submission process and the number of alternative market places for distributing Android applications, rogue authors are developing constantly new malicious programs. While current anti-virus software mainly relies on signature detection, the issue of alternative malware detection has to be addressed. In this paper, we present a feature based detection mechanism relying on opcode-sequences combined with machine learning techniques. We assess our tool on both a reference dataset known as Genome Project as well as on a wider sample of 40,000 applications retrieved from the Google Play Store. [less ▲]

Detailed reference viewed: 270 (12 UL)
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See detailUsing Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis
Toader, Bogdan UL; Cantelmo, Guido UL; Popescu, Mioara et al

Scientific Conference (in press)

Detailed reference viewed: 149 (13 UL)
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See detailUsing Polyurethane to Reduce the Production Cost of Hydrokinetic Turbine Foils
Norta, David Peter Benjamin UL; Lanser, Christoph; Sachau, Jürgen UL et al

in Proceedings International Conference on Hydropower for Sustainable Development (2015, February 05)

Polyurethane made profiles can be used for hydrokinetic oscillating foil micro turbines to reduce their production cost. For this purpose, a NACA 0015 profile is designed with a computer aided design ... [more ▼]

Polyurethane made profiles can be used for hydrokinetic oscillating foil micro turbines to reduce their production cost. For this purpose, a NACA 0015 profile is designed with a computer aided design software and milled from aluminium. From this sample a negative mould of silicone is produced. This negative was used to produce finally polyurethane foils. Holes and grooves can be simply implemented in the negative by placing corresponding shapes made of metal within the silicone form. A massive reduction of the production cost of about 1600 Euro for a polyurethane (PUR) foil of 1000 mm length compared to an aluminium foil of the same shape is accomplished. [less ▲]

Detailed reference viewed: 188 (8 UL)
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See detailUsing prepared mixtures of ToxCast chemicals to evaluate non-targeted analysis (NTA) method performance
Sobus, Jon R.; Grossman, Jarod N.; Chao, Alex et al

in Analytical and bioanalytical chemistry (2019), 411(4), 835-851

Detailed reference viewed: 25 (2 UL)
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See detailUsing presence to evaluate an augmented reality location aware game
McCall, Roderick UL; Wetzel, Richard; Löschner, Johannes et al

in Personal & Ubiquitous Computing (2011), 15(1), 25-35

Location-aware augmented reality games provide players with a rich and potentially unlimited range of interaction possibilities. In this paper, a study is described which uses a number of measurement ... [more ▼]

Location-aware augmented reality games provide players with a rich and potentially unlimited range of interaction possibilities. In this paper, a study is described which uses a number of measurement techniques including questionnaires, direct observation, semi-structured interviews and video analysis to measure player’s sense of presence. The paper points to the importance of the availability of actions within augmented reality games and how this shapes their sense of presence. The findings indicate that such an approach to measuring presence can provide valuable information on the structure of augmented reality location-aware games. [less ▲]

Detailed reference viewed: 108 (0 UL)
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See detailUsing Prêt à Voter in Victorian State Elections
Ryan, Peter UL; Schneider, Steve; Peacock, Thea et al

in Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (2012)

The Prêt à Voter cryptographic voting system was designed to be flexible and to offer voters a familiar and easy voting experience. In this paper we present a case study of our efforts to adapt Prêt à ... [more ▼]

The Prêt à Voter cryptographic voting system was designed to be flexible and to offer voters a familiar and easy voting experience. In this paper we present a case study of our efforts to adapt Prêt à Voter to the idiosyncrasies of elections in the Australian state of Victoria. The general background and desired user experience have previously been described; here we concentrate on the cryptographic protocols for dealing with some unusual aspects of Victorian voting. We explain the problems, present solutions, then analyse their security properties and explain how they tie in to other design decisions. We hope this will be an interesting case study on the application of end-to-end verifiable voting protocols to real elections. [less ▲]

Detailed reference viewed: 77 (1 UL)
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See detailUsing prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification
Glaab, Enrico UL

in Briefings in Bioinformatics (2015)

For many complex diseases, an earlier and more reliable diagnosis is considered a key prerequisite for developing more effective therapies to prevent or delay disease progression. Classical statistical ... [more ▼]

For many complex diseases, an earlier and more reliable diagnosis is considered a key prerequisite for developing more effective therapies to prevent or delay disease progression. Classical statistical learning approaches for specimen classification using omics data, however, often cannot provide diagnostic models with sufficient accuracy and robustness for heterogeneous diseases like cancers or neurodegenerative disorders. In recent years, new approaches for building multivariate biomarker models on omics data have been proposed, which exploit prior biological knowledge from molecular networks and cellular pathways to address these limitations. This survey provides an overview of these recent developments and compares pathway- and network-based specimen classification approaches in terms of their utility for improving model robustness, accuracy and biological interpretability. Different routes to translate omics-based multifactorial biomarker models into clinical diagnostic tests are discussed, and a previous study is presented as example. [less ▲]

Detailed reference viewed: 166 (16 UL)
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See detailUsing process data for assessment in Intelligent Tutoring Systems. A psychometrician’s, cognitive psychologist's, and computer scientist’s perspective.
Greiff, Samuel UL; Gasevic, Dragan; von Davier, Alina A.

in Sottilare, Robert A.; Graesser, Arthur C.; Hu, Xiangen (Eds.) et al Design recommendations for intelligent tutoring systems. Volume 5 (2017)

Detailed reference viewed: 141 (2 UL)