71,388 research outputs found

    Finding Cures for Tropical Diseases: Is Open Source an Answer?

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    We construct polar codes for binary relay channels with orthogonal receiver components. We show that polar codes achieve the cut-set bound when the channels are symmetric and the relay-destination link supports compress-and-forward relaying based on Slepian-Wolf coding. More generally, we show that a particular version of the compress-and-forward rate is achievable using polar codes for Wyner-Ziv coding. In both cases the block error probability can be bounded as O(2-Nβ) for 0 &lt; β &lt; 1/2 and sufficiently large block length N.Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20111207</p

    A perspective on the Healthgrid initiative

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    This paper presents a perspective on the Healthgrid initiative which involves European projects deploying pioneering applications of grid technology in the health sector. In the last couple of years, several grid projects have been funded on health related issues at national and European levels. A crucial issue is to maximize their cross fertilization in the context of an environment where data of medical interest can be stored and made easily available to the different actors in healthcare, physicians, healthcare centres and administrations, and of course the citizens. The Healthgrid initiative, represented by the Healthgrid association (http://www.healthgrid.org), was initiated to bring the necessary long term continuity, to reinforce and promote awareness of the possibilities and advantages linked to the deployment of GRID technologies in health. Technologies to address the specific requirements for medical applications are under development. Results from the DataGrid and other projects are given as examples of early applications.Comment: 6 pages, 1 figure. Accepted by the Second International Workshop on Biomedical Computations on the Grid, at the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004). Chicago USA, April 200

    A Review of the Open Educational Resources (OER) Movement: Achievements, Challenges, and New Opportunities

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    Examines the state of the foundation's efforts to improve educational opportunities worldwide through universal access to and use of high-quality academic content

    The Future of the Internet III

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    Presents survey results on technology experts' predictions on the Internet's social, political, and economic impact as of 2020, including its effects on integrity and tolerance, intellectual property law, and the division between personal and work lives

    High-Performance Cloud Computing: A View of Scientific Applications

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    Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape

    Designing for innovation around OER

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    This paper argues that designing collections of 'closed' educational resources (content and technologies) for use by specific student cohorts and collections of open educational resources for use by any 'learner' require different design approaches. Learning design for formal courses has been a research topic for over 10 years as the ever growing range of digital content and technologies has potentially offered new opportunities for constructing effective learning experiences, primarily through greater sharing and re-use of such content and technologies. While progress in adopting learning design by teaching practitioners has appeared slow so far the advent of open educational resources (OER) has provided a substantive boost to such sharing activity and a subsequent need for employing learning design in practice. Nevertheless there appears to be a paradox in that learning design assumes a reasonably well known and well defined student audience with presumed learning needs and mediating technologies while OER are exposed to a multitude of potential learners, both formal and informal, with unknown learning needs and using diverse technologies. It can be argued that innovative designs for formal courses involve creating structured pathways through a mixture of existing and new content and activities using a mixture of media and technologies in the process. This type of 'configurational' design that blends together given items to meet a particular need, rather than designing something fully de novo is typical in many areas of work and not just teaching. Such designs work very well when there is a small set of users of the innovation or their use of the innovation is narrow. However many innovations in information, communication and computing technologies often have multiple types of users and many more layers of complexity. In these cases, rather than heavily pre-define an innovative solution just to meet certain user requirements, it is necessary to design for greater flexibility so as to allow the users to adapt their use of the innovative solution for their own requirements once it has been deployed. The use of such an 'innofusion' approach for OER is highlighted using the case study of OpenLearn (www.open.ac.uk/openlearn)

    Status Report of the DPHEP Study Group: Towards a Global Effort for Sustainable Data Preservation in High Energy Physics

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    Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are mostly unique. An inter-experimental study group on HEP data preservation and long-term analysis was convened as a panel of the International Committee for Future Accelerators (ICFA). The group was formed by large collider-based experiments and investigated the technical and organisational aspects of HEP data preservation. An intermediate report was released in November 2009 addressing the general issues of data preservation in HEP. This paper includes and extends the intermediate report. It provides an analysis of the research case for data preservation and a detailed description of the various projects at experiment, laboratory and international levels. In addition, the paper provides a concrete proposal for an international organisation in charge of the data management and policies in high-energy physics

    Polish grid infrastructure for science and research

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    Structure, functionality, parameters and organization of the computing Grid in Poland is described, mainly from the perspective of high-energy particle physics community, currently its largest consumer and developer. It represents distributed Tier-2 in the worldwide Grid infrastructure. It also provides services and resources for data-intensive applications in other sciences.Comment: Proceeedings of IEEE Eurocon 2007, Warsaw, Poland, 9-12 Sep. 2007, p.44
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