658 research outputs found

    Magnetic disk

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    Magnetic disk recording was invented in 1953 and has undergone intensive development ever since. As a result of this 38 years of development, the cost per byte and the areal density have halved and doubled respectively every 2-2 1/2 years. Today, the cost per byte is lower than 10(exp -6) dollars per byte and area densities exceed 100 10(exp 6) bits per square inch. In this talk, the recent achievements in magnetic disk recording are first surveyed briefly. Then, the principal areas of current technical development are outlined. Finally, some comments are made about the future of magnetic disk recording

    Addendum no. 1 to final development report

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    Pseudo-linearity concept impact on linear filters designed to ease pulse crowding effects at high bit densitie

    A computer simulation of digital recording Final development progress report, 29 Dec. 1966 - 29 Dec. 1967

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    Fourier series digital computer simulation of tape recording process - signal detection in prescence of white Gaussian nois

    Magnetic disk

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    Magnetic disk recording was invented in 1953 and has undergone intensive development ever since. As a result of this 38 years of development, the cost per byte and the areal density has halved and doubled, respectively every 2 to 2 1/2 years. Today, the cost per byte is lower than 10(exp -6) dollars per byte and area densities exceed 100 x 10(exp 6) bits per square inch. The recent achievements in magnetic disk recording will first be surveyed briefly. Then the principal areas of current technical development will be outlined. Finally, some comments will be made about the future of magnetic disk recording

    Evaluating technologies and techniques for transitioning hydrodynamics applications to future generations of supercomputers

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    Current supercomputer development trends present severe challenges for scientific codebases. Moore’s law continues to hold, however, power constraints have brought an end to Dennard scaling, forcing significant increases in overall concurrency. The performance imbalance between the processor and memory sub-systems is also increasing and architectures are becoming significantly more complex. Scientific computing centres need to harness more computational resources in order to facilitate new scientific insights and maintaining their codebases requires significant investments. Centres therefore have to decide how best to develop their applications to take advantage of future architectures. To prevent vendor "lock-in" and maximise investments, achieving portableperformance across multiple architectures is also a significant concern. Efficiently scaling applications will be essential for achieving improvements in science and the MPI (Message Passing Interface) only model is reaching its scalability limits. Hybrid approaches which utilise shared memory programming models are a promising approach for improving scalability. Additionally PGAS (Partitioned Global Address Space) models have the potential to address productivity and scalability concerns. Furthermore, OpenCL has been developed with the aim of enabling applications to achieve portable-performance across a range of heterogeneous architectures. This research examines approaches for achieving greater levels of performance for hydrodynamics applications on future supercomputer architectures. The development of a Lagrangian-Eulerian hydrodynamics application is presented together with its utility for conducting such research. Strategies for improving application performance, including PGAS- and hybrid-based approaches are evaluated at large node-counts on several state-of-the-art architectures. Techniques to maximise the performance and scalability of OpenMP-based hybrid implementations are presented together with an assessment of how these constructs should be combined with existing approaches. OpenCL is evaluated as an additional technology for implementing a hybrid programming model and improving performance-portability. To enhance productivity several tools for automatically hybridising applications and improving process-to-topology mappings are evaluated. Power constraints are starting to limit supercomputer deployments, potentially necessitating the use of more energy efficient technologies. Advanced processor architectures are therefore evaluated as future candidate technologies, together with several application optimisations which will likely be necessary. An FPGA-based solution is examined, including an analysis of how effectively it can be utilised via a high-level programming model, as an alternative to the specialist approaches which currently limit the applicability of this technology

    The secret life of ice sails

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    ABSTRACTWe present the first dedicated study into the phenomenon of ice sails. These are clean ice structures that protrude from the surface of a small number of debris-covered glaciers and can grow to heights of over 25 m. We draw together what is known about them from the academic/exploration literature and then analyse imagery. We show here that ice sails can develop by one of two mechanisms, both of which require clean ice to become surrounded by debris-covered ice, where the debris layer is shallow enough for the ice beneath it to melt faster than the clean ice. Once formed, ice sails can persist for decades, in an apparently steady state, before debris layer thickening eventually causes a reversal in the relative melt rates and the ice sails decay to merge back with the surrounding glacier surface. We support our image-based analysis with a surface energy-balance model and show that it compares well with available observations from Baltoro Glacier in the Karakoram. A sensitivity analysis of the model is performed and confirms the results from our empirical study that ice sails require a relatively high evaporative heat flux and/or a relatively low sensible heat flux in order to exist.</jats:p

    Putative markers for the detection of breast carcinoma cells in blood.

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    The aim of this study was to investigate certain genes for their suitability as molecular markers for detection of breast carcinoma cells using the reverse transcriptase-polymerase chain reaction (RT-PCR). RNA was prepared from MCF-7 breast carcinoma cells and peripheral blood leucocytes of healthy female volunteers. This RNA was screened for mRNA of MUC1, cytokeratin 19 (CK19) and CD44 (exons 8-11) by RT-PCR and the results validated by Southern blots. Variable degrees of expression of MUC1 and CD44 (exons 8-11) were detected in normal peripheral blood, rendering these genes non-specific for epithelial cells and therefore unsuitable for use as markers to detect breast carcinoma cells. Although CK19 mRNA was apparently specific, it was deemed unsuitable for use as a marker of breast cancer cells in light of its limited sensitivity. Furthermore, an attempt at using nested primers to increase sensitivity resulted in CK19 mRNA being detected after two amplification rounds in blood from healthy volunteers

    Effective RFID-based object tracking for manufacturing

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    International audienceAbstract Automated Identification and in particular, Radio Frequency Identification (RFID) promises to assist with the automation of mass customised production processes by simplifying the retrieval, tracking and usage of highly specialised components. RFID has long been used to gather a history or trace of object movements, but its use as an integral part of the automated control process is yet to be fully exploited. Such (automated) use places stringent demands on the quality of the sensor data collected and the method used to interpret that data. In particular, this paper focuses on the issue of correctly identifying, tracking and dealing with aggregated objects in customised production with the use of RFID. In particular, this work presents approaches for making best use of RFID data in this context. The presented approach is evaluated in the context of a laboratory manufacturing system that produces customised gift boxes
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