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    Network storage protocol and adaptive batching apparatuses, methods, and systems
    6.
    发明授权
    Network storage protocol and adaptive batching apparatuses, methods, and systems 有权

    公开(公告)号：US10721302B2

    公开(公告)日：2020-07-21

    申请号：US14961679

    申请日：2015-12-07

    Applicant: Foundation for Research and Technology—Hellas (FORTH)

    Inventor： Angelos Bilas ,  Maria Pilar Gonzalez Ferez

    IPC: H04L29/08 ,  H04L29/06 ,  H04L12/26 ,  H04L12/803

    Abstract: A computer network-storage protocol system, including at least one initiator device having an initiator block layer and an initiator network layer interfacing with a first network driver; at least one target device having a target block layer and a target network layer interfacing with a second network driver; a plurality of network interface controllers (NICs) interfacing with the first network driver and the second network driver; a plurality of distinct channels, each channel establishing a connection between the initiator device and the target device and being configured to transmit packets between the initiator device and the target device, wherein each channel is mapped to only one NIC; and wherein the initiator block layer includes at least one request message buffer and at least one data message buffer.

    APPARATUSES, METHODS AND SYSTEMS FOR ESTIMATING WATER DIFFUSIVITY AND MICROCIRCULATION OF BLOOD USING DW-MRI DATA
    7.
    发明申请
    APPARATUSES, METHODS AND SYSTEMS FOR ESTIMATING WATER DIFFUSIVITY AND MICROCIRCULATION OF BLOOD USING DW-MRI DATA 审中-公开
    使用DW-MRI数据估算水分差异和血液微核的装置，方法和系统

    公开(公告)号：US20160139226A1

    公开(公告)日：2016-05-19

    申请号：US14940745

    申请日：2015-11-13

    Applicant: Foundation for Research and Technology - Hellas (FORTH)

    Inventor： Georgios Manikis ,  Eleftherios Kontopodis ,  Konstantinos Marias

    IPC: G01R33/56 ,  G06F17/10 ,  G06F19/00 ,  G01R33/563

    CPC classification number: G01R33/5608 ,  A61B5/055 ,  G01R33/56341 ,  G06F17/10 ,  G06F19/00 ,  G16H50/50

    Abstract: APPARATUSES, METHODS AND SYSTEMS FOR ESTIMATING WATER DIFFUSIVITY AND MICROCIRCULATION OF BLOOD USING DW-MRI DATA (“AEW”) are disclosed herein. The apparatuses, methods and systems provide a computational framework for choosing and applying the most appropriate model in different regions of a heterogeneous area on a voxel-by-voxel basis. The apparatuses, methods and systems also configure an intravoxel-incoherent-motion (IVIM) model for estimating water diffusivity and microcirculation of blood in the capillary network from DW-MRI low b-value data. In one implementation, the method uses a small number of b-values (at least 3 in the b-value range of 0-300 s/mm2, increasing the upper bound of the low b-value range by one b-value in the absence of DW-MRI signal at 300 s/mm2 and is able to synthetically generate DW-MRI data corresponding at higher b-values using the derived IVIM equation. The method also accounts for estimating non-Gaussian diffusion parameter Kapp.

    Abstract translation: 本文公开了使用DW-MRI数据估计水分差和血液微量化的装置，方法和系统（“AEW”）。 设备，方法和系统提供了一种计算框架，用于在体素体素基础上，在不同区域的不同区域中选择和应用最合适的模型。 装置，方法和系统还配置了用于从DW-MRI低b值数据估计毛细血管网中血液的扩散性和微循环的体内非相干运动（IVIM）模型。 在一个实现中，该方法使用少量b值（在0-300s / mm2的b值范围中至少3个，在b-value范围的上限增加一个b值 在300 s / mm2时没有DW-MRI信号，并且能够使用导出的IVIM方程综合生成对应于较高b值的DW-MRI数据，该方法还考虑了估计非高斯扩散参数Kapp。

    Capturing and reproducing spatial sound apparatuses, methods, and systems
    10.
    发明授权
    Capturing and reproducing spatial sound apparatuses, methods, and systems 有权

    公开(公告)号：US10136239B1

    公开(公告)日：2018-11-20

    申请号：US15183554

    申请日：2016-06-15

    Applicant: Foundation for Research and Technology—Hellas (FORTH)

    Inventor： Nikolaos Stefanakis ,  Athanasios Mouchtaris

    IPC: H04S7/00

    Abstract: A processor-implemented method for capturing and reproducing spatial sound. The method includes: capturing a plurality of input signals using a plurality of sensors within a sound field; subjecting each input signal to a short-time Fourier transform to transform each signal into a transformed signal in the time-frequency domain; decomposing each of the transformed signals into a directional component and a diffuse component; optimizing beamformer weights using vector based amplitude panning to determine an optimal directivity pattern for the diffuse component of each transformed signal; constructing a set of diffuse sound channels using the diffuse components of the transformed signals and the optimized beamformer weights; constructing a set of directional sound channels using the directional components of the transformed signals; and reproducing the sound field by distributing the directional and diffuse sound channels to a plurality of output devices.

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