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Université de Neuchâtel

Erasure coding for distributed storage systems

Barbi, Roberta ; Mercier, Hughes (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2019.

A huge quantity of data is generated and stored every day. Preeminent examples are the 300 million photos that get uploaded daily to Facebook or the 156 million emails sent every minute. Furthermore, it is remarkable that almost 90% of the data in the world has been generated in the last 2 years. This humongous quantity of data is typically hosted in data centres located in different geographic...

Université de Fribourg

Statix - statistical type inference on linked data

Lutov, Artem ; Roshankish, Soheil ; Khayati, Mourad ; Cudre-Mauroux, Philippe

In: 2018 IEEE International Conference on Big Data (Big Data), 2018, p. 2253–2262

Large knowledge bases typically contain data adhering to various schemas with incomplete and/or noisy type information. This seriously complicates further integration and post-processing efforts, as type information is crucial in correctly handling the data. In this paper, we introduce a novel statistical type inference method, called StaTIX, to effectively infer instance types in Linked Data...

Université de Fribourg

Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization

Chen, Longbiao ; Yang, Dingqi ; Zhang, Daqing ; Wang, Cheng ; Li, Jonathan ; Nguyen, Thi Mai Trang

In: Journal of Network and Computer Applications, 2018, vol. 121, p. 59–69

The increasingly growing data traffic has posed great challenges for mobile operators to increase their data processing capacity, which incurs a significant energy consumption and deployment cost. With the emergence of the Cloud Radio Access Network (C-RAN) architecture, the data processing units can now be centralized in data centers and shared among base stations. By mapping a cluster of...

Haute Ecole de Gestion & Tourisme

Search engine optimization (SEO) au moyen de technologies sémantiques

Joaquim, Jonathan ; Sokhn, Maria (Dir.)

Mémoire de bachelor : Haute Ecole de Gestion & Tourisme, 2018.

L’entreprise Klewel est spécialisée dans la rediffusion d’événement sur le web. Leur solution permet l’enregistrement d’événement, de conférence ou même de formation. Ceux-ci sont ensuite sauvegardés et pourront être exploité par le client. Le tout pouvant être intégré au site internet du client, en interne ou sur le portail web de Klewel. L’objectif du présent...

Université de Fribourg

Cross-fertilizing weed science and plant invasion science to improve efficient management: A European challenge

Müller-Schärer, Heinz ; Sun, Yan ; Chauvel, Bruno ; Karrer, Gerhard ; Kazinczi, Gabriella ; Kudsk, P. ; Lansink Oud, A. G. J. M. ; Schaffner, Urs ; Skjoth, C. A. ; Smith, M. ; Vurro, M. ; de Weger, L. A. ; Lommen, Suzanne T. E.

In: Basic and Applied Ecology, 2018, vol. 33, p. 1–13

Both weed science and plant invasion science deal with noxious plants. Yet, they have historically developed as two distinct research areas in Europe, with different target species, approaches and management aims, as well as with diverging institutions and researchers involved. We argue that the strengths of these two disciplines can be highly complementary in implementing management...

Université de Neuchâtel

Ramsey spectroscopy in a Rubidium vapor cell and realization of an ultra-stable atomic clock

Gharavipour, Mohammadreza ; Mileti, Gaetano (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2018.

Various application fields in industry, telecommunication, navigation and space demand reliable, compact, high-performance frequency standards with a stability level of −14 at 105s (equivalent to <1ns/day). Thanks to semiconductor technology, optical pumping technique with a laser has opened up new schemes based on laser-microwave double-resonance (DR), such as...

Università della Svizzera italiana

Path planning for mobile robots in the real world : handling multiple objectives, hierarchical structures and partial information

Guzzi, Jérôme ; Gambardella, Luca Maria (Dir.) ; Giusti, Alessandro (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO010.

Autonomous robots in real-world environments face a number of challenges even to accomplish apparently simple tasks like moving to a given location. We present four realistic scenarios in which robot navigation takes into account partial information, hierarchical structures, and multiple objectives. We start by discussing navigation in indoor environments shared with people, where routes are...

Università della Svizzera italiana

Efficient combinatorial optimization algorithms for logistic problems

Papapanagiotou, Vasileios ; Gambardella, Luca Maria (Dir.) ; Montemanni, Roberto (Codir.) ; Schmidhuber, Jürgen (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO011.

The field of logistics and combinatorial optimization features a wealth of NP-hard problems that are of great practical importance. For this reason it is important that we have efficient algorithms to provide optimal or near-optimal solutions. In this work, we study, compare and develop Sampling-Based Metaheuristics and Exact Methods for logistic problems that are important for their...

Università della Svizzera italiana

Efficient tree-based content-based routing schemes

Khazaei, Koorosh ; Carzaniga, Antonio (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO009.

This thesis is about routing and forwarding for inherently multicast communication such as the communication typical of information-centric networks. The notion of Information-Centric Networking (ICN) is an evolution of the Internet from the current host-centric architecture to a new architecture in which communication is based on “named information”. The ambitious goal of ICN is to...

Università della Svizzera italiana

Analysis and optimization of task granularity on the Java virtual machine

Rosà, Andrea ; Binder, Walter (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO008.

Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallelization overheads. On the other hand, coarse-grained tasks (i.e., large tasks performing substantial computations) may not fully utilize the...