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See detailSystem Demonstration: The Higher-Order Prover Leo-III
Steen, Alexander UL; Benzmüller, Christoph UL

in CEUR Workshop Proceedings (2018), 2095

Detailed reference viewed: 41 (15 UL)
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See detailSystem Design and Implementation Decisions for ParaMoise Organizational Model
Guzek, Mateusz UL; Danoy, Grégoire UL; Bouvry, Pascal UL

in Proceedings of the 2013 Federated Conference on Computer Science and Information Systems (2013, September)

Detailed reference viewed: 125 (17 UL)
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See detailSystem Energy-Efficient Hybrid Beamforming for mmWave Multi-user Systems
Ha, Vu Nguyen UL; Nguyen, Duy H. N.; Frigon, Jean-Francois

in IEEE Transactions on Green Communications and Networking (2020), 4(4), 2473-2400

This paper develops energy-efficient hybrid beamforming designs for mmWave multi-user systems where analog precoding is realized by switches and phase shifters such that radio frequency (RF) chain to ... [more ▼]

This paper develops energy-efficient hybrid beamforming designs for mmWave multi-user systems where analog precoding is realized by switches and phase shifters such that radio frequency (RF) chain to transmit antenna connections can be switched off for energy saving. By explicitly considering the effect of each connection on the required power for baseband and RF signal processing, we describe the total power consumption in a sparsity form of the analog precoding matrix. However, these sparsity terms and sparsity-modulus constraints of the analog precoding make the system energy-efficiency maximization problem non-convex and challenging to solve. To tackle this problem, we first transform it into a subtractive-form weighted sum rate and power problem. A compressed sensing-based re-weighted quadratic-form relaxation method is employed to deal with the sparsity parts and the sparsity-modulus constraints. We then exploit alternating minimization of the mean-squared error to solve the equivalent problem where the digital precoding vectors and the analog precoding matrix are updated sequentially. The energy efficiency upper bound and a heuristic algorithm are also examined for comparison purposes. Numerical results confirm the superior performances of the proposed algorithm over benchmark energy-efficiency hybrid precoding algorithms and heuristic one. [less ▲]

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See detailSystem Evaluation of Optimal Downlink Beamforming in Wireless Communication
Stridh, Rickard; Bengtsson, Mats; Ottersten, Björn UL

in Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th (2001)

We investigate the use of joint optimal downlink beamforming, power control and access point allocation, in a multicell SDMA system. Smart antennas are used at the access points and single antennas are ... [more ▼]

We investigate the use of joint optimal downlink beamforming, power control and access point allocation, in a multicell SDMA system. Smart antennas are used at the access points and single antennas are used at the terminals. The possibility to send messages to multiple terminals on the same frequency in the same time slot is exploited. An algorithm for removing users from a congested system, in order to avoid outage is proposed and evaluated Results show that the proposed algorithm gives substantial increase of the system performance compared to random removal of users. [less ▲]

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See detailSystem Evaluation of Optimal Downlink Beamforming with Congestion Control in Wireless Communication
Stridh, Rickard; Bengtsson, Mats; Ottersten, Björn UL

in IEEE Transactions on Wireless Communications (2006), 5(4), 743751

Detailed reference viewed: 18 (0 UL)
See detailSystem for navigating a planned procedure within a body
Gielen, F. L. H.; Hertel, Frank UL; Gemmar, P. et al

Report (2012)

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See detailA system for the design and development of vision-based multi-robot quadrotor swarms
Sanchez Lopez, Jose Luis UL; Pestana, Jesus; de la Puente, Paloma et al

in 2014 International Conference on Unmanned Aircraft Systems (ICUAS) (2014, May)

This paper presents a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and ... [more ▼]

This paper presents a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-proven. The framework is fully operative, which is shown in the paper through simulations and real flight tests of up to 5 drones, and was demonstrated with the participation in an international micro-aerial vehicles competition3 where it was awarded with the First Prize in the Indoors Autonomy Challenge. The motivation of this framework is to allow the developers to focus on their own research by decoupling the development of dependent modules, leading to a more cost-effective progress in the project. The basic instance of the framework that we propose, which is flight-proven with the cost-efficient and reliable platform Parrot AR Drone 2.0 and is open-source, includes several modules that can be reused and modified, such as: a basic sequential mission planner, a basic 2D trajectory planner, an odometry state estimator, localization and mapping modules which obtain absolute position measurements using visual markers, a trajectory controller and a visualization module. [less ▲]

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See detailSystem Identification of a Vertical Riser Model with Echo State Networks
Antonelo, Eric Aislan UL; Camponogara, Eduardo; Plucenio, Agustinho

in IFAC-PapersOnLine (2015), 48(6), 304-310

System identification of highly nonlinear dynamical systems, important for reducing time complexity in long simulations, is not trivial using more traditional methods such as recurrent neural networks ... [more ▼]

System identification of highly nonlinear dynamical systems, important for reducing time complexity in long simulations, is not trivial using more traditional methods such as recurrent neural networks (RNNs) trained with back-propagation through time. The recently introduced Reservoir Computing (RC)∗∗The term reservoir used here is not related to reservoirs in oil and gas industry. approach to training RNNs is a viable and powerful alternative which renders fast training and high performance. In this work, a single Echo State Network (ESN), a flavor of RC, is employed for system identification of a vertical riser model which has stationary and oscillatory signal behaviors depending of the production choke opening input variable. It is shown experimentally that these different behaviors are learned by constraining the high-dimensional reservoir states to attractor subspaces in which the specific behavior is represented. Further experiments show the stability of the identified system. [less ▲]

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See detailSystem Modelling and Design Aspects of Next Generation High Throughput Satellites
Sharma, Shree Krishna UL; Querol, Jorge UL; Maturo, Nicola UL et al

in IEEE Communications Letters (2020)

As compared to terrestrial systems, the design of Satellite Communication (SatCom) systems require a different approach due to differences in terms of wave propagation, operating frequency, antenna ... [more ▼]

As compared to terrestrial systems, the design of Satellite Communication (SatCom) systems require a different approach due to differences in terms of wave propagation, operating frequency, antenna structures, interfering sources, limitations of onboard processing, power limitations and transceiver impairments. In this regard, this letter aims to identify and discuss important modeling and design aspects of the next generation High Throughput Satellite (HTS) systems. First, communication models of HTSs including the ones for multibeam and multicarrier satellites, multiple antenna techniques, and for SatCom payloads and antennas are highlighted and discussed. Subsequently, various design aspects of SatCom transceivers including impairments related to the transceiver, payload and channel, and traffic-based coverage adaptation are presented. Finally, some open topics for the design of next generation HTSs are identified and discussed. [less ▲]

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See detailSystem reliability and weighted lattice polynomials
Dukhovny, Alexander; Marichal, Jean-Luc UL

in Probability in the Engineering and Informational Sciences (2008), 22(3), 373-388

The lifetime of a system of connected units under some natural assumptions can be represented as a random variable Y defined as a weighted lattice polynomial of random lifetimes of its components. As such ... [more ▼]

The lifetime of a system of connected units under some natural assumptions can be represented as a random variable Y defined as a weighted lattice polynomial of random lifetimes of its components. As such, the concept of a random variable Y defined by a weighted lattice polynomial of (lattice-valued) random variables is considered in general and in some special cases. The central object of interest is the cumulative distribution function of Y. In particular, numerous results are obtained for lattice polynomials and weighted lattice polynomials in case of independent arguments and in general. For the general case, the technique consists in considering the joint probability generating function of "indicator" variables. A connection is studied between Y and order statistics of the set of arguments. [less ▲]

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See detailSystem Testing of Timing Requirements based on Use Cases and Timed Automata
Wang, Chunhui UL; Pastore, Fabrizio UL; Briand, Lionel UL

in 10th IEEE International Conference on Software Testing, Verification and Validation (ICST 2017), Tokyo 13-18 March 2017 (2017, March 13)

In the context of use-case centric development and requirements-driven testing, this paper addresses the problem of automatically deriving system test cases to verify timing requirements. Inspired by ... [more ▼]

In the context of use-case centric development and requirements-driven testing, this paper addresses the problem of automatically deriving system test cases to verify timing requirements. Inspired by engineering practice in an automotive software development context, we rely on an analyzable form of use case specifications and augment such functional descriptions with timed automata, capturing timing requirements, following a methodology aiming at minimizing modeling overhead. We automate the generation of executable test cases using a test strategy based on maximizing test suite diversity and building over the UPPAAL model checker. Initial empirical results based on an industrial case study provide evidence of the effectiveness of the approach. [less ▲]

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See detailSystematic Analysis and Modelling of Profit Maximization on Carsharing
Giorgione, Giulio UL; Kliazovich, Dzmitry; Bolzani, Luca UL et al

Poster (2021)

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase ... [more ▼]

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase profit while offering the most appealing service are still getting explored. Among others, dynamic pricing strategies can be designed to increase profit by attracting more users, selling more rental hours or maximizing fleet utilization. In this paper, we propose an experimental method aimed at developing a model for maximizing service profit. Using agent-based modeling to generate realistic scenarios, we analyze pricing as a function of the potential demand (i.e. number of members) and supply (hours of booking supplied). The process of reaching the maximum profit consists of testing various combinations of pricing - demand and pricing – supply ranges in order to find the price that maximize the profit for every demand and supply level. Once the optimal prices are known, a polynomial fitting and an optimization method are used to generate a function linking all the maximal profit obtaining the advised price to offer for any specific supply levels. Results show how the profit only slightly depends on the variability of the potential demand, while it strongly depends on the amount of supply. It is then shown how it is possible to obtain a linear relation that maximizes the profit in function of the price offered once the supply is known. [less ▲]

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See detailSystematic analysis of global and local control policies
Cantelmo, Guido UL; Viti, Francesco UL; Rinaldi, Marco et al

in Periodica Polytechnica (2015)

Detailed reference viewed: 76 (7 UL)
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See detailSystematic approaches to mouse mutagenesis.
Brown, S. D.; Balling, Rudi UL

in Current Opinion in Genetics and Development (2001), 11(3), 268-73

A major challenge in post-genomics is the systematic determination of mammalian gene function. A variety of mouse mutagenesis technologies, both gene- and phenotype-driven, are being used to underpin ... [more ▼]

A major challenge in post-genomics is the systematic determination of mammalian gene function. A variety of mouse mutagenesis technologies, both gene- and phenotype-driven, are being used to underpin systematic and comprehensive approaches to mammalian gene function studies. Recently, a number of centres have completed large-scale ENU mutagenesis programmes that employ a phenotype-driven approach to the generation of mouse mutants. The use of ENU mutagenesis represents a powerful and efficient approach to mammalian gene-function studies, but many parallel developments are needed in downstream technologies to properly harness the new enlarged mouse-mutant resources that are being created. [less ▲]

Detailed reference viewed: 89 (1 UL)
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See detailSystematic approaches to social protection
de Neubourg, Chris; Cebotari, Victor UL; Karpati, Julia

in Schüring, Esther; Loewe, Markus (Eds.) Handbook of Social Protection Systems (2021)

Detailed reference viewed: 60 (0 UL)
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See detailSystematic assessment of local & global control policies: A methodological perspective
Cantelmo, Guido UL; Viti, Francesco UL; Rinaldi, Marco et al

in Proceedings of the MT-ITS Conference (2015, June)

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See detailSystematic assessment of local & global signal control policies: A methodological perspective
Cantelmo, Guido UL; Viti, Francesco UL; Rinaldi, Marco UL et al

in Proceedings of 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015 (2015)

Traffic control performance on networks depends on the flow response to the policy adopted, which in turn contributes to determine the optimal signal settings. This paper focuses on the relationship ... [more ▼]

Traffic control performance on networks depends on the flow response to the policy adopted, which in turn contributes to determine the optimal signal settings. This paper focuses on the relationship between local and network wide traffic control policies within the combined traffic control and assignment problem. Through a full exploration of the solution space, an in depth cross comparison is performed between the well-known local policies P0 and Equisaturation, versus the global policies Maximum Throughput and Minimum Delay, to verify how the two local policies approximate the optimal settings for signalized intersections. Realistic traffic dynamics, such as congestion, multiple controllers and spillback are considered, to empirically determine the conditions under which the local policies are able to approximate global performances. After presenting the different local and global control policies, experiments are performed on simple toy networks. The complexity of the underlying network and, therefore, of the problems' boundary conditions is then increased, allowing us to showcase how the different metrics perform in different situations. Finally, conclusions on the results are drawn. © 2015 BME. [less ▲]

Detailed reference viewed: 33 (2 UL)