23,411 research outputs found

    Component-based simulation for a reconfiguration study of transitic systems

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    This paper is organized as follows. Part A presents the context of reconfiguring transitic systems and the main idea in implementing the decision step. It comprises sections 1 to 3. Section 3 presents an example that illustrates the concepts presented in the next sections. Parts B and C express the models and principles used to simulate transitic systems, the result of which will be helpful for choosing the new configuration. Part B focuses mainly on models. It comprises sections 4 to 6. Part C focuses mainly on simulation principles. It comprises sections 7 to 10

    The "MIND" Scalable PIM Architecture

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    MIND (Memory, Intelligence, and Network Device) is an advanced parallel computer architecture for high performance computing and scalable embedded processing. It is a Processor-in-Memory (PIM) architecture integrating both DRAM bit cells and CMOS logic devices on the same silicon die. MIND is multicore with multiple memory/processor nodes on each chip and supports global shared memory across systems of MIND components. MIND is distinguished from other PIM architectures in that it incorporates mechanisms for efficient support of a global parallel execution model based on the semantics of message-driven multithreaded split-transaction processing. MIND is designed to operate either in conjunction with other conventional microprocessors or in standalone arrays of like devices. It also incorporates mechanisms for fault tolerance, real time execution, and active power management. This paper describes the major elements and operational methods of the MIND architecture

    Knowledge-intensive software design systems: Can too much knowledge be a burden?

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    While acknowledging the considerable benefits of domain-specific, knowledge-intensive approaches to automated software engineering, it is prudent to carefully examine the costs of such approaches, as well. In adding domain knowledge to a system, a developer makes a commitment to understanding, representing, maintaining, and communicating that knowledge. This substantial overhead is not generally associated with domain-independent approaches. In this paper, I examine the downside of incorporating additional knowledge, and illustrate with examples based on our experience in building the SIGMA system. I also offer some guidelines for developers building domain-specific systems

    Physiological Gaussian Process Priors for the Hemodynamics in fMRI Analysis

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    Background: Inference from fMRI data faces the challenge that the hemodynamic system that relates neural activity to the observed BOLD fMRI signal is unknown. New Method: We propose a new Bayesian model for task fMRI data with the following features: (i) joint estimation of brain activity and the underlying hemodynamics, (ii) the hemodynamics is modeled nonparametrically with a Gaussian process (GP) prior guided by physiological information and (iii) the predicted BOLD is not necessarily generated by a linear time-invariant (LTI) system. We place a GP prior directly on the predicted BOLD response, rather than on the hemodynamic response function as in previous literature. This allows us to incorporate physiological information via the GP prior mean in a flexible way, and simultaneously gives us the nonparametric flexibility of the GP. Results: Results on simulated data show that the proposed model is able to discriminate between active and non-active voxels also when the GP prior deviates from the true hemodynamics. Our model finds time varying dynamics when applied to real fMRI data. Comparison with Existing Method(s): The proposed model is better at detecting activity in simulated data than standard models, without inflating the false positive rate. When applied to real fMRI data, our GP model in several cases finds brain activity where previously proposed LTI models does not. Conclusions: We have proposed a new non-linear model for the hemodynamics in task fMRI, that is able to detect active voxels, and gives the opportunity to ask new kinds of questions related to hemodynamics.Comment: 18 pages, 14 figure

    An Unfinished Canvas: Local Partnerships in Support of Arts Education in California

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    In 2006, at the request of The William and Flora Hewlett Foundation, SRI International conducted a study aimed at assessing the status of arts education in California relative to state goals. The final report, An Unfinished Canvas. Arts Education in California: Taking Stock of Policy and Practice, revealed a substantial gap between policy and practice. The study found that elementary schools in particular are failing to meet state goals for arts education. In light of these findings, The Hewlett Foundation commissioned a series of follow-up studies to identify policy mechanisms or other means of increasing student access to arts education. This study, focusing on the ability of school districts to leverage support for arts education through partnerships with local arts organizations, is one of the follow-up studies.Partnerships may allow for the pooling of resources and lend support to schools in a variety of ways including artists-in-residency programs, professional development for teachers, exposing students to the arts through the provision of one-time performances at school sites, and organizing field trips to performances and exhibits. According to the California Visual and Performing Arts Framework for California Public Schools, partnerships among districts, schools, and arts organizations are most successful when they are embedded within a comprehensive, articulated program of arts education. Questions about the nature of partnerships that California districts and schools have been able to form with arts organizations, and the success of these partnerships to increase students' access to a sequential standards-based course of study in the four arts disciplines, served as the impetus for this study.A team of SRI researchers conducted case studies of partnerships between districts and arts organizations in six diverse California communities in spring 2008. The case study sites were selected for their particular arts education activities and diverse contexts and, as a result, do not offer generalizable data about partnerships between school districts and arts organizations in California. Instead, we highlight the ways that a sample of partnerships promotes arts education in California elementary schools to inform others who may be interested in building partnerships between school districts and arts organizations

    Web Services Support for Dynamic Business Process Outsourcing

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    Outsourcing of business processes is crucial for organizations to be effective, efficient and flexible. To meet fast-changing market conditions, dynamic outsourcing is required, in which business relationships are established and enacted on-the-fly in an adaptive, fine-grained way unrestricted by geographic distance. This requires automated means for both the establishment of outsourcing relationships and for the enactment of services performed in these relationships over electronic channels. Due to wide industry support and the underlying model of loose coupling of services, Web services increasingly become the mechanism of choice to connect organizations across organizational boundaries. This paper analyzes to which extent Web services support the dynamic process outsourcing paradigm. We discuss contract -based dynamic business process outsourcing to define requirements and then introduce the Web services framework. Based on this, we investigate the match between the two. We observe that the Web services framework requires further support for cross - organizational business processes and mechanisms for contracting, QoS management and process-based transaction support and suggest ways to fill those gaps
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