190,461 research outputs found
tigerhawkvok/labelme: Locked down release for ARES 2019 paper
No full text<p>This is a locked down version for citation purposes for CoStar's ARES 2019 paper. See <a href="https://zenodo.org/">https://zenodo.org/</a> and <a href="https://help.github.com/articles/referencing-and-citing-content/">https://help.github.com/articles/referencing-and-citing-content/</a></p>
An Analytical Evaluation of Network Security Modelling Techniques Applied to Manage Threats
No full textThe current ubiquity of information coupled with
the reliance on such data by businesses has led to a great
deal of resources being deployed to ensure the security of this
information. Threats can come from a number of sources and the
dangers from those insiders closest to the source have increased
significantly recently. This paper focuses on techniques used to
identify and manage threats as well as the measures that every
organisation should consider to put into action. A novel game-based
onion skin model has been proposed, combining techniques
used in theory-based and hardware-based hardening strategies
ARES
No full text<p>Elenco dei Memo relativi al progetto ARES, dal 20/04/1989 al 15/05/1990.</p>
Problemas de cada día
No full textFecha de imprimatur: 1955-1958Vol. I. (211 p.) -- vol. II. (230 p.) -- vol. III. (234 p.) -- vol. IV (230 p.
Validazione e rilascio del codice ARES
No full textThe presented work had started from the attempt of simulating the premixed reactive flow in the experimental ENSMA combustor, by using TFC premixed combustion model. The apparently simple test case had soon appeared to be a very tough one instead, challenging the two codes used (Ares and Fluent) and making very difficult to find good agreement with the experimental measures. The difficulties encountered were related to the TFC combustion model and to the turbulence model as well. The investigation carried out with the two codes put in evidence the need for extending the TFC model to non-adiabatic and heat-conducting capabilities. This work will be done during the third year of the project, redesigning the activities of Objective no. 8. A strong effect due to the turbulence models was also found. Ares results were better than Fluent ones, whenever a comparison with the same turbulence model was possible. The best solution was found with RNG k-ε model implemented into Ares, slightly better than Fluent results with a full Reynolds Stress Model
Performance of the ARES recoil separator for (p,γ) reaction measurements
No full textIn Louvain-la-Neuve, the Astrophysics REcoil Separator (ARES), was installed to measure (p,γ) reactions of astrophysical interest induced by radioactive beams. ARES was coupled to the CYCLONE44 cyclotron. First tests performed with an 19F stable beam, i.e., the H(19F,20Ne)γ reaction, are reported
Implementazione del codice Ares su architetture parallele
No full textThis report describes the MPI parallelization of the combustion code Ares. First, the structure of the code is described, then a detailed analysis of the algorithms used to integrated the flow equation is carried out, with particular emphasis to the parallelization issues. An analysis of few possible alternative approaches is then followed by the description of the chosen approach. A preliminary validation of the parallel code completes the report. Thorough validation on 3D complex test cases will be presented in the next report
First results with the recoil separator ARES
No full textWe present here the first results obtained with the new recoil separator ARES. ARES is used for the measurement of (p,gamma) and (alpha,gamma) reactions at astrophysical energies in inverse kinematic using both stable and radioactive beams
ARES: Adaptive Resource-Aware Split Learning for Internet of Things
No full textDistributed training of Machine Learning models in edge Internet of Things (IoT) environments is challenging because of three main points. First, resource-constrained devices have large training times and limited energy budget. Second, resource heterogeneity of IoT devices slows down the training of the global model due to the presence of slower devices (stragglers). Finally, varying operational conditions, such as network bandwidth, and computing resources, significantly affect training time and energy consumption. Recent studies have proposed Split Learning (SL) for distributed model training with limited resources but its efficient implementation on the resource-constrained and decentralized heterogeneous IoT devices remains minimally explored. We propose Adaptive REsource-aware Splitlearning (ARES), a scheme for efficient model training in IoT systems. ARES accelerates local training in resource-constrained devices and minimizes the effect of stragglers on the training through device-targeted split points while accounting for time-varying network throughput and computing resources. ARES takes into account application constraints to mitigate training optimization tradeoffs in terms of energy consumption and training time. We evaluate ARES prototype on a real testbed comprising heterogeneous IoT devices running a widely-adopted deep neural network and dataset. Results show that ARES accelerates model training on IoT devices by up to 48% and minimizes the energy consumption by up to 61.4% compared to Federated Learning (FL) and classic SL, without sacrificing the model convergence and accurac
Study of the Ne-19(p,gamma)Na-20 reaction and subsequent improvements to ARES
No full textThe aim of the recoil separator ARES, installed at Louvain-la-Neuve, is to study (p,gamma) reactions of astrophysical interest involving unstable nuclei. ARES is coupled to CYCLONE44, a cyclotron dedicated to the post-acceleration of intense low-energy radioactive ion beams. The first measurement using a Ne-19 radioactive beam has been performed recently. The resonance strength of the state at 448 keV above the Ne-19+p threshold has been investigated and an upper limit omega gamma < 15.2 meV has been obtained. This first measurement with ARES has suggested some improvements to be performed to the separator, which are described in this paper
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