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See detailEvaluative morphology in Luxembourgish
Gilles, Peter UL

in Grandi, Nicola; Kortvelyessy, Livia (Eds.) Edinburgh Handbook of Evaluative Morphology (2015)

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See detailAn Evaluaton of Real-Time Troposphere Products Based on mult-GNSS Precise Point Posi)oning
Ding, Wenwu; Teferle, Felix Norman UL; Kazmierski, Kamil et al

Scientific Conference (2017, February 21)

When employing observations from multiple Global Navigation Satellite System (GNSS) the performance of real-time (RT) GNSS meteorology can be improved. In this paper, we describe an operational RT system ... [more ▼]

When employing observations from multiple Global Navigation Satellite System (GNSS) the performance of real-time (RT) GNSS meteorology can be improved. In this paper, we describe an operational RT system for extracting zenith tropospheric delay (ZTD) using a modified version of the PPP-wizard. Multi-GNSS, including GPS, GLONASS and Galileo, observation streams are processed using a RT PPP strategy based on RT satellite orbit/clock products from CNES. A continuous experiment for 30 days is conducted, in which the RT observation streams of 20 globally distributed stations are processed. The initialization time and accuracy of the RT troposphere products using single/multi-system observations are evaluated. The effect of RT PPP ambiguity resolution is also evaluated. The results reveal that the RT troposphere products based on single system observations can fulfill the requirements of meteorological application, in which the GPS-only solution is better than the GLONASS-only solution in both initialization and accuracy. The performance can also be improved by applying RT PPP ambiguity resolution and utilizing multi-GNSS observations. Specifically, we notice that the ambiguity resolution is more effective in improving the accuracy, whereas the initialization process can be better accelerated by multi-GNSS observations. Combining all systems, RT troposphere products with an average accuracy of about 8 mm in ZTD can be achieved after an initialization process of approximately 9 minutes, which supports the application of multi-GNSS observations and ambiguity resolution for RT meteorological applications. [less ▲]

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See detailEvaluer : pour contrôler ou pour apprendre ?
Dierendonck, Christophe UL; Cavaco, Carmen

in Evaluer : Journal International de Recherche en Education et Formation (2017), 3(1-2), 99-100

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See detailÉvaluer l’expérience ?
Pignault, Anne UL

Presentation (2005, October 06)

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See detailEvaluer la construction identitaire des étudiants pour mieux piloter les curricula, un défi pour les universités européennes.
Amara, Marie-Emmanuelle UL; Pelt, Véronique UL; Baumann, Michèle UL

in Europe « Evaluation & Curriculum » (2010)

Les universités privilégient la mesure d'indicateurs de performance au détriment d’autres déterminants de l’encadrement universitaire tels que l’identité sociale dont la promotion est sollicitée par ... [more ▼]

Les universités privilégient la mesure d'indicateurs de performance au détriment d’autres déterminants de l’encadrement universitaire tels que l’identité sociale dont la promotion est sollicitée par Bologne pour les préparer les étudiants à leur futur rôle de citoyen. Une première étude basée sur une analyse qualitative du discours d'étudiants en licence/bachelor a permis d’élaborer un modèle théorique selon lequel la construction identitaire s'effectuerait selon trois axes : juvénile, académique et professionnel. L’objectif du travail présenté ici a été de mesurer et d’analyser l'identité sociale des étudiants. Un questionnaire a été administré à 224 étudiants de 1ère année (95 Luxembourgeois, 48 Belges, 69 Roumains). 1. l’identité étudiante a été approchée à l’aide de 13 items dont les différences significatives les marquées indiquent que : <br />* les Luxembourgeois se disent « plus ponctuels dans leur travail » et assidus en cours ; <br />* les Roumains déclarent trouver des interlocuteurs à l'université et ne pensent pas décrocher ; <br />* les Belges estiment que l'université les aide à construire leurs projets d'avenir. <br />L'alpha de Cronbach montre que ces items forment une échelle (0.79). Les scores moyens des trois universités sont significativement différents : ceux des Luxembourgeois et des Roumains sont très proches, ils sont supérieurs de 20 points à ceux des Belges (Lu 64.3 vs Ro 63.3 vs Be 40.8). <br />2. l’'identité universitaire a été mesurée à l’aide d’une échelle validée (3 items), le score des Roumains est le plus élevé (Ro 13.1 vs Lu 11.9 vs Be 11.2). Les femmes accordent plus d'importance aux items « choix du métier »et « notes obtenues ». Ces indications sont une information importante pour la compréhension des liens existant entre le profil identitaire, la réussite universitaire et l’encadrement pédagogique/environnemental facultaire. L’analyse de cette identité sociale au fil des cursus est une démarche évaluative qui permettrait de mieux adapter les curricula aux besoins des étudiants. [less ▲]

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See detailEvaluer les connaissances pour enseigner l'algèbre élémentaire : élaboration d'un outil diagnostique
Demonty, Isabelle; Vlassis, Joëlle UL

in Evaluer : Journal International de Recherche en Education et Formation (2017), 2(2), 18

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See detailEvaluer. Journal international de Recherche en Education et Formation
Cavaco, Carmen; Dierendonck, Christophe UL

Book published by ADMEE-Europe (2017)

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See detailEvasive Maneuvering for UAVs: An MPC Approach
Castillo Lopez, Manuel UL; Olivares Mendez, Miguel Angel UL; Voos, Holger UL

in ROBOT'2017 - Third Iberian Robotics Conference, Sevilla, Spain, 2017 (2017, November 22)

Flying autonomously in a workspace populated by obstacles is one of the main goals when working with Unmanned Aerial Vehicles (UAV). To address this challenge, this paper presents a model predictive ... [more ▼]

Flying autonomously in a workspace populated by obstacles is one of the main goals when working with Unmanned Aerial Vehicles (UAV). To address this challenge, this paper presents a model predictive flight controller that drives the UAV through collision-free trajectories to reach a given pose or follow a way-point path. The major advantage of this approach lies on the inclusion of three-dimensional obstacle avoidance in the control layer by adding ellipsoidal constraints to the optimal control problem. The obstacles can be added, moved and resized online, providing a way to perform waypoint navigation without the need of motion planning. In addition, the delays of the system are considered in the prediction by an experimental first order with delay model of the system. Successful experiments in 3D path tracking and obstacle avoidance validates its effectiveness for sense-and-avoid and surveillance applications presenting the proper structure to extent its autonomy and applications. [less ▲]

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See detailEven-homogeneous supermanifolds on the complex projective line.
Vishnyakova, Elizaveta UL

in Differential Geometry & its Applications (2013), 31

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See detailL’événement énonciatif en sémiotique de l’image : de Roland Barthes à la sémiotique tensive
Colas-Blaise, Marion UL; Dondero, Maria Giulia

in La part de l'oeil (2017)

Detailed reference viewed: 66 (10 UL)
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See detailEvent detection and localization for small mobile robots using reservoir computing
Antonelo, Eric Aislan UL; Schrauwen, Benjamin; Stroobandt, Dirk

in Neural Networks (2008), 21(6), 862--871

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See detailEvent detection and localization in mobile robot navigation using reservoir computing
Antonelo, Eric Aislan UL; Schrauwen, Benjamin; Dutoit, Xavier et al

in Artificial Neural Networks -- ICANN 2007 (2007)

Reservoir Computing (RC) uses a randomly created recur- rent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex events in autonomous robot navi ... [more ▼]

Reservoir Computing (RC) uses a randomly created recur- rent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex events in autonomous robot navi- gation. This can be extended to robot localization based solely on sensory information. The robot thus builds an implicit map of the environment without the use of odometry data. These techniques are demonstrated in simulation on several complex and even dynamic environments. [less ▲]

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See detailEvent History Analysis Workshop
Hartung, Anne UL

Presentation (2014)

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See detailEvent Notification in CAN-based Sensor Networks
Bloom, Gedare; Cena, Gianluca; Cibrario Bertolotti, Ivan et al

in IEEE Transactions on Industrial Informatics (2019), 15(10), 5613-5625

Preventive and reactive maintenance require the collection of an ever-increasing amount of information from industrial plants and other complex systems, like those based on robotized cells, a need that ... [more ▼]

Preventive and reactive maintenance require the collection of an ever-increasing amount of information from industrial plants and other complex systems, like those based on robotized cells, a need that can be fulfilled by means of a suitable event notification mechanism. At the same time, timing and delivery reliability requirements in those scenarios are typically less demanding than in other cases, thus enabling the adoption of best-effort notification approaches. This paper presents, evaluates, and compares some of those approaches, based on either standard CAN messaging or a recently proposed protocol extension called CAN XR. In the second case, the combined use of Bloom filters is also envisaged to increase flexibility. Results show that the latter approaches are advantageous in a range of event generation rates and network topologies of practical relevance. [less ▲]

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See detailEvent prediction with community leaders
Pang, Jun UL; Zhang, Yang UL

in Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES'15) (2015)

Detailed reference viewed: 76 (5 UL)
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See detailAn Event-Driven Cooperative Advanced Driver Assistance System to Mitigate Vehicular Traffic Shock Waves in Temporarily High Traffic Demand
Forster, Markus UL

Doctoral thesis (2015)

In uncoordinated vehicular traffic, available road capacity cannot be fully exploited. This often leads to the formation of traffic jams and the emergence of vehicular traffic shock waves in times of ... [more ▼]

In uncoordinated vehicular traffic, available road capacity cannot be fully exploited. This often leads to the formation of traffic jams and the emergence of vehicular traffic shock waves in times of temporarily high traffic demand. The main reason for congestion on highways is the combination of high traffic demand and small instabilities in the flow. These can be caused by bottleneck situations such as ramps, construction sites, accidents, or by small inaccuracies of human drivers. Traffic jams that are caused by the latter reason often are referred to as phantom jams. Even with modern vehicles, equipped with several sensors and driver supporting features, the drivers’ or sensors’ line of sight are already limited by the vehicle ahead. Hence, drivers or vehicles are not able to take anticipatory actions. To overcome these limitations it is necessary to investigate cooperative systems that are connected through a communication channel. In this work, we introduce a novel distributed, connectionless and event-based communication protocol that enables us to eliminate up- stream shock wave formation already with low system penetration rates. Based on traffic information ahead, we propose a Cooperative Advanced Driver Assistance System (CADAS) that recommends pre-emptive velocity reductions in order to redistribute traffic more uniformly thereby eliminating traffic peaks. Simulation results show that our proposed CADAS increases and harmonizes the average velocity, and therewith reduces the overall travel time, avoiding unnecessary slowdowns. We also demonstrate that our event-based messaging scheme uses less network resources than beaconing. Moreover, we conduct a field test on a private test track in order to validate our proposed protocol. We compare uncoordinated traffic to traffic, controlled by the proposed CADAS. With our experiments, we show that such a recommendation-based system can alleviate the formation of vehicular shock waves, thus improve vehicular traffic. Additionally, we perform simulations on the experiment scenario and compare the results to the empirical ones. With this comparison we show that our simulation results agree with the findings from the field test. [less ▲]

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See detailAn Event-Driven Inter-Vehicle Communication Protocol to Attenuate Vehicular Shock Waves
Forster, Markus UL; Frank, Raphaël UL; Engel, Thomas UL

in International Conference on Connected Vehicles and Expo (2014, November)

In this paper we investigate an event-driven Inter-Vehicle Communication protocol to mitigate shock waves in dense traffic situation. From previous work we know that flooding or frequent beaconing require ... [more ▼]

In this paper we investigate an event-driven Inter-Vehicle Communication protocol to mitigate shock waves in dense traffic situation. From previous work we know that flooding or frequent beaconing require excessive network resources. To overcome this limitation we focus on an efficient message exchange mechanism requiring as few network resources as possible, while still providing timely and accurate traffic information. We designed Density Redistribution through Intelligent Velocity Estimation (DRIVE), an event-driven Inter-Vehicle Communication protocol that learns about traffic conditions ahead and recommends optimal velocities in order to prevent the formation of vehicular shock waves. We demonstrate that our approach of reacting in case of traffic fluctuations leads to significant improvements in overall traffic flow. Furthermore we show that even a low number of equipped vehicles is sufficient to achieve this target. [less ▲]

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See detailEvent-processing in Autonomous Robot Programming
Ziafati, Pouyan UL; Dastani, Mehdi; Meyer, John-Jules et al

in Proceedings of the 2013 International Conference on Autonomous Agents and Multi-agent Systems (2013)

When implementing the high-level control component of an autonomous robot, one needs to process events, generated by sensory components, to extract the information relevant to the control component. This ... [more ▼]

When implementing the high-level control component of an autonomous robot, one needs to process events, generated by sensory components, to extract the information relevant to the control component. This paper discusses the lack of support for event-processing when current agent programming languages (APLs) are used to implement the control component of autonomous robots. To address this issue, the use of information flow processing (IFP) systems is proposed to support the development of event-processing components (EPCs) for an autonomous robot. The necessary interaction mechanisms between a control component and EPCs are defined. These mechanisms allow run-time subscription to events of interest, asynchronous reception of events, maintaining necessary histories of events and run-time querying of the histories. Several implementation-related concerns for these interaction mechanisms are discussed. [less ▲]

Detailed reference viewed: 99 (11 UL)