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检索条件"任意字段=8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing"

共 571 条记录，以下是81-90 订阅

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Steel Phase Kinetics Modeling using symbolic Regression 24

Steel Phase Kinetics Modeling using Symbolic Regression

引用

24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Piringer, David Bloder, Bernhard Kronberger, Gabriel Univ Appl Sci Upper Austria Heurist & Evolutionary Algorithms Lab A-4232 Hagenberg Austria MCL Forsch GmbH A-8700 Leoben Austria

ISBN: (纸本)9781665465458

We describe an approach for empirical modeling of steel phase kinetics based on symbolic regression and genetic programming. the algorithm takes processed data gathered from dilatometer measurements and produces a system of differential equations that models the phase kinetics. Our initial results demonstrate that the proposed approach allows to identify compact differential equations that fit the data. the model predicts ferrite, pearlite and bainite formation for a single steel type. Martensite is not yet included in the model. Future work shall incorporate martensite and generalize to multiple steel types with different chemical compositions.

关键词： steel phase kinetics genetic programming symbolic regression dynamic models

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computing Origami Universal Molecules with Cyclic Tournament Forests

Computing Origami Universal Molecules with Cyclic Tournament...

引用

15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Bowers, John C. Streinu, Ileana Univ Massachusetts Sch Comp Sci Amherst MA 01003 USA Smith Coll Dept Comp Sci Northampton MA 01063 USA

ISBN: (纸本)9781479930357

Lang's "universal molecule" algorithm solves a variant of the origami design problem. It takes as input a metric tree and a convex polygonal region (the "paper") having a certain metric relationship with the tree. It computes a crease-pattern which allows for the paper to "fold" to a uniaxial base, which is a 3-dimensional shape projecting onto the given tree. Lang's universal molecule algorithm runs in cubic time and quadratic space. We investigate two implementations which improve the running time to sub-cubic time. the first uses a cyclic tournament forest, a new data structure which extends kinetic tournament trees to allow for cycle splitting operations, and the second uses a priority queue to store events.

关键词： computational geometry origami tree-constrained straight-skeleton KDS tournament tree

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Service lifecycle in the cloud environment

Service lifecycle in the cloud environment

引用

14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Munteanu, Victor Ion Fortis, Teodor-Florin Negru, Viorel West Univ Timisoara Fac Math & Informat Dept Comp Sci Timisoara Romania

ISBN: (纸本)9780769549347;9781467350266

Cloud governance's approach to development in the cloud environment allows for a way in which services are well defined and unambiguous;where they can be easily designed, implemented, deployed and executed;for a way in which they can be consumed. this approach is beneficial to SMEs which can now empower themselves by adopting cloud-based technologies and platforms. they now have the opportunity to develop niche solutions, or to group themselves in specialized clusters, in order to build complex, targeted solutions, tailored on customers' needs. the focus of this paper is detailing the service lifecycle from the point of view of our proposed cloud governance architecture that is based on a cloud management solution, the Cloud Agency, a multi-agent system that is part of the mOSAIC project.

关键词： service lifecycle cloud computing cloud governance cloud brokerage cloud management

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computing Boolean Border Bases 18

Computing Boolean Border Bases

引用

18th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Horacek, Jan Kreuzer, Martin Ekossono, Ange-Salome Messeng Univ Passau Fac Informat & Math D-94030 Passau Germany

ISBN: (纸本)9781509057078

Given a 0-dimensional polynomial system in a polynomial ring over F-2 having only. F-2-rational solutions, we optimize the Border Basis Algorithm (BBA) for solving this system by introducing a Boolean BBA. this algorithm is further improved by optimizing the linear algebra steps. We discuss ways to combine it with SAT solvers, optimized methods for performing the combinatorial steps involved in the algorithm, and various approaches to implement the linear algebra steps. Based on our C++ implementation, we provide some timings to compare sparse and dense representations of the coefficient matrices and to Grobner basis methods.

关键词： boolean polynomial border basis SAT solver small scale AES

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Reachability Analysis of Time Basic Petri Nets: a Time Coverage Approach

Reachability Analysis of Time Basic Petri Nets: a Time Cover...

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13th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Bellettini, Carlo Capra, Lorenzo Univ Milan Dept Informat & Commun Milan Italy

ISBN: (纸本)9780769546308

We introduce a technique for reachability analysis of Time-Basic (TB) Petri nets, a powerful formalism for real-time systems where time constraints are expressed as intervals, representing possible transition firing times, whose bounds are functions of marking's time description. the technique consists of building a symbolic reachability graph relying on a sort of time coverage, and overcomes the limitations of the only available analyzer for TB nets, based in turn on a time-bounded inspection of a (possibly infinite) reachability-tree. the graph construction algorithm has been automated by a tool-set, briefly described in the paper together with its main functionality and analysis capability. A running example is used throughout the paper to sketch the symbolic graph construction. A use case describing a small real system - that the running example is an excerpt from - has been employed to benchmark the technique and the tool-set. the main outcome of this test are also presented in the paper. Ongoing work, in the perspective of integrating with a model-checking engine, is shortly discussed.

关键词： timed Petri nets linear constraints symbolic reachability analysis

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SENSAPP as a Reference Platform to Support Cloud Experiments: From the Internet of things to the Internet of Services

SENSAPP as a Reference Platform to Support Cloud Experiments...

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14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Mosser, Sebastien Fleurey, Franck Morin, Brice Chauvel, Franck Solberg, Arnor Goutier, Iokanaan SINTEF ICT Dept Networked Syst & Serv Oslo Norway SINTEF ICT Polytech Lille Lille France

ISBN: (纸本)9780769549347;9781467350266

the Cloud-computing paradigm was considered as a revolution. thanks to the abstraction of computing resources "in the clouds" this paradigm provides "anything" as a service, on a pay-as-you-go basis. Unfortunately, there is no reference software that one can use to properly compare a cloud approach against others. We propose the SENSAPP platform to tackle this challenge. SENSAPP is designed as a prototypical cloud application and is provided as an open-source service-based application used to store and exploit data collected by the Internet of things. We propose SENSAPP as a reference implementation to compare different cloud approaches. In this paper we present initial experiments about scalability based on this platform.

关键词： Cloud-computing Reference Experiments Internet of things Internet of Services

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A Parallel, Distributed, High-Performance Architecture for Simulating Particle-based Models 16

A Parallel, Distributed, High-Performance Architecture for S...

引用

16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Sabou, Adrian Gorgan, Dorian Tech Univ Cluj Napoca Dept Comp Sci Cluj Napoca 400027 Romania

ISBN: (纸本)9781479984480

Particle-based models are widespread in the field of computer graphics and are mostly used in soft-body dynamics, for simulating surfaces such as cloth, fluids and biologic tissue. As model resolution and scenario complexity increases, the computation required for these particular applications becomes overwhelming for a single processing unit, especially when interactivity is required, thus parallelization must be employed in order to provide a fast, flexible and scalable simulation environment. High-performance computing architectures such as graphics clusters may provide the parallel computing and rendering power required, but the distributed and remote nature of the computation and rendering process introduce specific challenges that must be tackled. We propose a parallel, distributed, modular system architecture for a particle-based simulator on GPU clusters, encapsulating powerful parallel and distributed processing, distributed rendering and remote interaction techniques, for flexible, fast simulation of large models and complex scenarios. For validating and evaluating the proposed architecture, we perform a visual comparison of two largely used numeric integration methods, namely the explicit Velocity Verlet and implicit Euler integration techniques.

关键词： particle-based models distributed computing parallel computing high-performance computing simulation graphics cluster GPGPU

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symbolic Regression with augmented dataset using RuleFit 24

Symbolic Regression with augmented dataset using RuleFit

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24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： de Franca, Fabricio Olivetti Univ Fed ABC Ctr Math Comp & Cognit CMCC Heurist & Anal Lab HAL Santo Andre SP Brazil

ISBN: (纸本)9781665465458

symbolic Regression models are often associated with transparency and interpretability. the main motivation is their ability to describe nonlinear models balancing accuracy and conciseness. But, in practice, it may generate models that are hard to understand at the same level as opaque models. From another perspective, linear models are guaranteed to be transparent but fail to model nonlinearities and interactions. the algorithm RuleFit uses a tree-based nonlinear model to create meta-features augmenting the dataset, increasing the accuracy of the linear models while maintaining their transparency. In this paper we test whether this augmented dataset can help symbolic Regression models to find more transparent models without reducing the overall accuracy. the results indicate that the augmented models have a slightly better accuracy on a class of benchmarks while keeping the expression size small and closer to a linear model. As a caveat, the models also tend to become closer to a step function which limits the interpretability of the studied phenomena.

关键词： symbolic regression regression analysis data augmentation

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Trust Model Engines in cloud computing 14th

Trust Model Engines in cloud computing

引用

14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Farcasescu, Marcela Roxana West Univ Timisoara Dept Informat Timisoara Romania

ISBN: (纸本)9780769549347;9781467350266

the first concern when we think about adopting cloud computing is security. Even if, cloud computing seems to be remarkably cheap, the security part might transform the "buzz world" in a terribly expensive technology. the goal of this paper is to present a different perspective of delivering security as a service thru a new defined concept, trust engines. this concept, introduced in this paper, relies on trust management. A trust management system can be achieved in cloud computing by implementing multiple trust models that define what a user can do and what type of protection he has. By identifying the static and dynamic trust models, the cloud provider and the cloud user can have a proper control of the cloud security. A trust model engine could create both static and dynamic rules that will establish a classified profile for all the cloud users.

关键词： trust trust model trust management rule-based engine evolutionary data engine Drools WSO2 KEEL

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A data aggregation strategy based on Wavelet for the Internet of things 19

A data aggregation strategy based on Wavelet for the Interne...

引用

19th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Guidi, Barbara De Salve, Andrea Ricci, Laura Univ Pisa Dept Comp Sci Pisa Italy CNR Ist Informat & Telemat Pisa Italy

ISBN: (纸本)9781538626269

the advent of emerging information and communication technologies, such as RFID, small size sensors and sensor networks, has made accessible a huge amount of information that requires sophisticated and efficient search algorithms to support queries on that data. In this paper we focus on the problem of aggregating data collected from these devices to efficiently support queries, inferences or statistics on them. In general, data aggregation techniques are necessary to efficiently collect information in a compact and cost-effective way. Some current solutions try to meet the above criteria, by exploiting different data aggregation techniques, for instance BitVector or Q_Digest. In this manuscript, we exploit the mathematical wavelet structure to define a sophisticated data aggregation technique for information collected from different nodes. the aggregated data is then exploited for solving multidimensional range queries. Experimental results based on simulations of a real dataset show the effectiveness of our approach with respect to other aggregation strategies.

关键词： IoT P2P Fog computing range-query wavelet data aggregation

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