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See detailORBIT - Overcoming Breakdowns in Teams with Interactive Tabletops
Sunnen, Patrick UL; Arend, Béatrice UL; Maquil, Valérie

Poster (2018, June)

ORBIT implements and studies a joint problem-solving activity at an interactive tabletop providing participants with the opportunity to develop their collaboration methods by jointly overcoming breakdowns ... [more ▼]

ORBIT implements and studies a joint problem-solving activity at an interactive tabletop providing participants with the opportunity to develop their collaboration methods by jointly overcoming breakdowns. The design and the research process relies on user-centered design methods and on an ethnomethodological conversation analytic framework. The project will generate scientific knowledge on participants’ collaboration methods and create a powerful collaborative learning tool. [less ▲]

Detailed reference viewed: 16 (3 UL)
See detailLe discours rapporté… une question de temps
Barthelmebs-Raguin, Hélène UL; Komur-Thilloy, Greta; Marnette, Sophie et al

Book published by Classiques Garnier (2018)

Detailed reference viewed: 16 (4 UL)
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See detailHigh-Precision Design of Pedestrian Mobility for Smart City Simulators
Vitello, Piergiorgio; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in IEEE International Conference on Communications (ICC), Kansas City, MO, USA, 2018 (2018, May)

The unprecedented growth of the population living in urban environments calls for a rational and sustainable urban development. Smart cities can fill this gap by providing the citizens with high-quality ... [more ▼]

The unprecedented growth of the population living in urban environments calls for a rational and sustainable urban development. Smart cities can fill this gap by providing the citizens with high-quality services through efficient use of Information and Communication Technology (ICT). To this end, active citizen participation with mobile crowdsensing (MCS) techniques is a becoming common practice. As MCS systems require wide participation, the development of large scale real testbeds is often not feasible and simulations are the only alternative solution. Modeling the urban environment with high precision is a key ingredient to obtain effective results. However, currently existing tools like OpenStreetMap (OSM) fail to provide sufficient levels of details. In this paper, we apply a procedure to augment the precision (AOP) of the graph describing the street network provided by OSM. Additionally, we compare different mobility models that are synthetic and based on a realistic dataset originated from a well known MCS data collection campaign (ParticipAct). For the dataset, we propose two arrival models that determine the users’ arrivals and match the experimental contact distribution. Finally, we assess the scalability of AOP for different cities, verify popular metrics for human mobility and the precision of different arrival models. [less ▲]

Detailed reference viewed: 13 (1 UL)
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See detailDark Souls like "Dark Souls": Personality Characteristics and Preference for Violent Video Games
Melzer, André UL; Engelberg, Elisabeth

Scientific Conference (2018, May)

Detailed reference viewed: 8 (1 UL)
Peer Reviewed
See detailHow to threaten male gamers: The effects of stereotype threat on video game performance
Wagener, Gary L.; Melzer, André UL

Poster (2018, May)

A total of 70 participants (47.1% men) took part in a lab experiment that manipulated stereotype threat (i.e., the risk of confirming a negative stereotype about one’s group) between playing a video game ... [more ▼]

A total of 70 participants (47.1% men) took part in a lab experiment that manipulated stereotype threat (i.e., the risk of confirming a negative stereotype about one’s group) between playing a video game (Bejeweled 3). Participants performed generally worse after reading a fictitious article on gaming research that women would still play less and perform worse in games than men (ST condition). In contrast to males, however, female participants reported greater frustration from reading this article than their colleagues who read that women and men no longer differ in terms of playing frequency and performance skills (no ST condition). Interestingly, a reverse pattern of results was obtained for male participants, who reported a stronger negative effect of the article in the no ST condition on their ability to show their best gaming performance. Apparently, stereotype threat may affect video game performance both for women and men, but for different reasons. [less ▲]

Detailed reference viewed: 43 (2 UL)
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See detailTime to Clean Your Test Objectives
Marcozzi, Michaël; Bardin, Sébastien; Kosmatov, Nikolai et al

in 40th International Conference on Software Engineering, May 27 - 3 June 2018, Gothenburg, Sweden (2018, May)

Detailed reference viewed: 20 (0 UL)
See detailBilderbücher als Medium zum Valorisieren der Familiensprachen im Précoce
Andersen, Katja Natalie UL; Reuland, Claudine; Rios-Ney, Jessica

Scientific Conference (2018, April 26)

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See detailDesigning Joint Precoding and Beamforming in a Multiple Gateway Multibeam Satellite System
Joroughi, Vahid; Shankar, Bhavani UL; Maleki, Sina UL et al

in IEEE WCNC 2018 (2018, April 18)

This paper aims to design joint on-ground precoding and on-board beamforming of a multiple gateway multibeam satellite system in a hybrid space-ground mode where full frequency reuse pattern is considered ... [more ▼]

This paper aims to design joint on-ground precoding and on-board beamforming of a multiple gateway multibeam satellite system in a hybrid space-ground mode where full frequency reuse pattern is considered among the beams. In such an architecture, each gateway serves a cluster of adjacent beams such that the adjacent clusters are served through a set of gateways that are located at different geographical areas. However, such a system brings in two challenges to overcome. First, the inter-beam interference is the bottleneck of the whole system and applying interference mitigation techniques becomes necessary. Second, as the data demand increases, the ground and space segments should employ extensive bandwidth resources in the feeder link accordingly. This entails embedding an extra number of gateways aiming to support a fair balance between the increasing demand and the corresponding required feeder link resources. To solve these problems, this study investigates the impact of employing a joint multiple gateway architecture and on-board beamforming scheme. It is shown that by properly designing the on-board beamforming scheme, the number of gateways can be kept affordable even if the data demand increases. Moreover, Zero Forcing (ZF) precoding technique is considered to cope with the inter-beam interference where each gateway constructs a part of block ZF precoding matrix. The conceived designs are evaluated with a close-to-real beam pattern and the latest broadband communication standard for satellite communications. [less ▲]

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See detailNon-intrusive Distracted Driving Detection Based on Driving Sensing Data
Jafarnejad, Sasan UL; Castignani, German UL; Engel, Thomas UL

Scientific Conference (2018, March)

Nowadays Internet-enabled phones have become ubiquitous, and we all witness the flood of information that often arrives with a notification. Most of us immediately divert our attention to our phones even ... [more ▼]

Nowadays Internet-enabled phones have become ubiquitous, and we all witness the flood of information that often arrives with a notification. Most of us immediately divert our attention to our phones even when we are behind the wheel. Statistics show that drivers use their phone on 88% of their trips and on 2015 in the UnitedKingdom 25% of the fatal accidents were caused by distraction or impairment. Therefore there is need to tackle this issue. However, most of the distraction detection methods either use expensive dedicated hardware and/or they make use of intrusive or uncomfortable sensors. We propose distracted driving detection mechanism using non-intrusive vehicle sensor data. In the proposed method 9 driving signals are used. The data is collected, then two sets of statistical and cepstral features are extracted using a sliding window process, further a classifier makes a prediction for each window frame, lastly, a decision function takes the last l predictions and makes the final prediction. We evaluate the subject independent performance of the proposed mechanism using a driving dataset consisting of 13 drivers. We show that performance increases as the decision window become larger.We achieve the best results using a Gradient Boosting classifier with a decision window of total duration 285seconds which yield ROC AUC of 98.7%. [less ▲]

Detailed reference viewed: 23 (3 UL)
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See detailEuropa:Quo Vadis?
Danescu, Elena UL

in The Journal of European Economic History (2018)

The past few years have been a bleak period for Europe, dominated by the effects of a multidimensional systemic crisis (economic, financial, social, environmental and geopolitical), growing unease among ... [more ▼]

The past few years have been a bleak period for Europe, dominated by the effects of a multidimensional systemic crisis (economic, financial, social, environmental and geopolitical), growing unease among the general public and considerable turmoil among political elites. The aggressive rise of populism, the slow slide towards authoritarianism and the surge in nationalism have led to parochial tendencies, an erosion of solidarity and a growing ambivalence about the future of the shared European project. At the same time, in today’s globalised environment, the limits of the traditional economic model have become apparent as it grapples with the effects of “secular stagnation". A new paradigm is emerging, based on the importance of global public goods, of what is “common” to humanity, despite the divisions that seem to be driving it apart. [less ▲]

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See detailProfiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications
Tomasoni, Mattia; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in The 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (IEEE Mobile Cloud 2018) (2018, March)

Mobile crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. In MCS, citizens actively participate in the sensing process by contributing ... [more ▼]

Mobile crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. In MCS, citizens actively participate in the sensing process by contributing data with their smartphones, tablets, wearables and other mobile devices to a collector. As citizens sustain costs while contributing data, i.e., the energy spent from the batteries for sensing and reporting, devising energy efficient data collection frameworks (DCFs) is essential. In this work, we compare the energy efficiency of several DCFs through CrowdSenSim, which allows to perform large-scale simulation experiments in realistic urban environments. Specifically, the DCFs under analysis differ one with each other by the data reporting mechanism implemented and the signaling between users and the collector needed for sensing and reporting decisions. Results reveal that the key criterion differentiating DCFs' energy consumption is the data reporting mechanism. In principle, continuous reporting to the collector should be more energy consuming than probabilistic reporting. However, DCFs with continuous reporting that implement mechanisms to block sensing and data delivery after a certain amount of contribution are more effective in harvesting data from the crowd. [less ▲]

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See detailIMPROVING THE CAPACITY OF VERY DEEP NETWORKS WITH MAXOUT UNITS
Oyedotun, Oyebade UL; Shabayek, Abd El Rahman UL; Aouada, Djamila UL et al

in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (2018, February 21)

Deep neural networks inherently have large representational power for approximating complex target functions. However, models based on rectified linear units can suffer reduction in representation ... [more ▼]

Deep neural networks inherently have large representational power for approximating complex target functions. However, models based on rectified linear units can suffer reduction in representation capacity due to dead units. Moreover, approximating very deep networks trained with dropout at test time can be more inexact due to the several layers of non-linearities. To address the aforementioned problems, we propose to learn the activation functions of hidden units for very deep networks via maxout. However, maxout units increase the model parameters, and therefore model may suffer from overfitting; we alleviate this problem by employing elastic net regularization. In this paper, we propose very deep networks with maxout units and elastic net regularization and show that the features learned are quite linearly separable. We perform extensive experiments and reach state-of-the-art results on the USPS and MNIST datasets. Particularly, we reach an error rate of 2.19% on the USPS dataset, surpassing the human performance error rate of 2.5% and all previously reported results, including those that employed training data augmentation. On the MNIST dataset, we reach an error rate of 0.36% which is competitive with the state-of-the-art results. [less ▲]

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See detailHow to deal with 4 million+ tweets when you are not a data scientist ?
Clavert, Frédéric UL

Speeches/Talks (2018)

How to deal with 4 million+ tweets when you are not a data scientist? The answer is "digital bricolage"

Detailed reference viewed: 8 (0 UL)
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See detailA Model-Driven Co-Design Framework for Fusing Control and Scheduling Viewpoints
Sundharam, Sakthivel Manikandan UL; Navet, Nicolas UL; Altmeyer, Sebastian et al

in Sensors (2018), 18(2), 628

Model-Driven Engineering (MDE) is widely applied in the industry to develop new software functions and integrate them into the existing run-time environment of a Cyber-Physical System (CPS). The design of ... [more ▼]

Model-Driven Engineering (MDE) is widely applied in the industry to develop new software functions and integrate them into the existing run-time environment of a Cyber-Physical System (CPS). The design of a software component involves designers from various viewpoints such as control theory, software engineering, safety, etc. In practice, while a designer from one discipline focuses on the core aspects of his field (for instance, a control engineer concentrates on designing a stable controller), he neglects or considers less importantly the other engineering aspects (for instance, real-time software engineering or energy efficiency). This may cause some of the functional and non-functional requirements not to be met satisfactorily. In this work, we present a co-design framework based on timing tolerance contract to address such design gaps between control and real-time software engineering. The framework consists of three steps: controller design, verified by jitter margin analysis along with co-simulation, software design verified by a novel schedulability analysis, and the run-time verification by monitoring the execution of the models on target. This framework builds on CPAL (Cyber-Physical Action Language), an MDE design environment based on model-interpretation, which enforces a timing-realistic behavior in simulation through timing and scheduling annotations. The application of our framework is exemplified in the design of an automotive cruise control system. [less ▲]

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See detailHandling the E-Grants in the Participation Portal
Sommarribas, Adolfo UL; Mokhtari, Nadine UL

Conference given outside the academic context (2018)

Detailed reference viewed: 10 (1 UL)
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See detailThe institution of linguistic dissidence in the Balearic Islands: ideological dynamics of Catalan standardisation
Duane Bernedo, Lucas John UL

Doctoral thesis (2018)

This thesis describes ethnographically the recent institution of linguistic dissidence in the Balearic Islands, understood as the establishment of a belief in the archipelago’s socio-political field that ... [more ▼]

This thesis describes ethnographically the recent institution of linguistic dissidence in the Balearic Islands, understood as the establishment of a belief in the archipelago’s socio-political field that claims ‘Balearic’, and not the current Catalan, must share official status with Castilian as its authentic autochthonous language. Three associations of language activists created in 2013 are responsible for this development. This thesis analyses two years of social media activity of the three language activist associations, together with other materials. Findings show how activists engaged in a struggle for the legitimisation of an alternative standard that revolved around authenticity ideologies, while they simultaneously secured and advanced the anonymity value of Castilian. Social media was instrumental for these purposes, as it provided activists representational control to articulate discourses about language and to police language practices. This thesis also examines the implications that this development represented for Catalan standardisation. I interviewed 11 language planners working at different institutions in the Balearic Islands and two Catalan language advocates. The interviews provided accounts on the ways institutional actors police the standard variety. After finding a vertical distribution of standard practices among institutional actors, the analysis focuses on a local planner’s social media practices. In all, this thesis advances three arguments about the activists’ strategic adoption of the standard language regime, the existence of an identification need in the Balearic linguistic market, and the role of minoritisation on standardisation. [less ▲]

Detailed reference viewed: 8 (2 UL)
See detailBayesian variable selection in linear dynamical systems
Aalto, Atte UL; Goncalves, Jorge UL

E-print/Working paper (2018)

We develop a method for reconstructing regulatory interconnection networks between variables evolving according to a linear dynamical system. The work is motivated by the problem of gene regulatory ... [more ▼]

We develop a method for reconstructing regulatory interconnection networks between variables evolving according to a linear dynamical system. The work is motivated by the problem of gene regulatory network inference, that is, finding causal effects between genes from gene expression time series data. In biological applications, the typical problem is that the sampling frequency is low, and consequentially the system identification problem is ill-posed. The low sampling frequency also makes it impossible to estimate derivatives directly from the data. We take a Bayesian approach to the problem, as it offers a natural way to incorporate prior information to deal with the ill-posedness, through the introduction of sparsity promoting prior for the underlying dynamics matrix. It also provides a framework for modelling both the process and measurement noises. We develop Markov Chain Monte Carlo samplers for the discrete-valued zero-structure of the dynamics matrix, and for the continuous-time trajectory of the system. [less ▲]

Detailed reference viewed: 4 (0 UL)