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 sys...
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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.
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 relatio...
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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 withthe 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.
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 w...
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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.
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 algori...
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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.
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 t...
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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.
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 basi...
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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.
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 com...
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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.
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 ge...
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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.
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 t...
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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.
Cloud computing is continuously growing as a prominent technology for enterprises. While several giant public cloud providers, such as Amazon, Microsoft, IBM, Google are competing to extend their market, there is stil...
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ISBN:
(纸本)9781479984480
Cloud computing is continuously growing as a prominent technology for enterprises. While several giant public cloud providers, such as Amazon, Microsoft, IBM, Google are competing to extend their market, there is still a large number of organizations asking higher level of privacy and control over cloud solutions. therefore, the need to have private cloud solutions is obvious. To overcome this need there are several on-going open source software frameworks for building public and private clouds. Among them, OpenStack and CloudStack are growing at fast pace and gaining more attention. An analysis on these software stacks is necessary in order to choose the most suitable solution that matches an enterprise's requirements. this paper main contribution is an in depth study and comparison of the cloud properties of these two open source frameworks, providing useful information on open source cloud solutions that are not available elsewhere.
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