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    OPTICAL FIBER NONLINEARITY COMPENSATION USING NEURAL NETWORKS
    161.
    发明申请
    OPTICAL FIBER NONLINEARITY COMPENSATION USING NEURAL NETWORKS 审中-公开

    公开(公告)号：US20190393965A1

    公开(公告)日：2019-12-26

    申请号：US16449319

    申请日：2019-06-21

    Applicant: NEC Laboratories America, Inc.

    Inventor： Shaoliang ZHANG ,  Fatih YAMAN ,  Eduardo RODRIGUEZ ,  Yoshihisa INADA ,  Kohei NAKAMURA ,  Takanori INOUE

    IPC: H04B10/61 ,  H04B10/2543 ,  G06K9/62 ,  H04L27/20 ,  G06N3/08 ,  H04B10/2531 ,  H04L27/26

    Abstract: Aspects of the present disclosure describe systems, methods and structures for optical fiber nonlinearity compensation using neural networks that advantageously employ machine learning (ML) algorithms for nonlinearity compensation (NLC) that advantageously provide a system-agnostic model independent of link parameters, and yet still achieve a similar or better performance at a lower complexity as compared with prior-art methods. Systems, methods, and structures according to aspects of the present disclosure include a data-driven model using the neural network (NN) to predict received signal nonlinearity without prior knowledge of the link parameters. Operationally, the NN is provided with intra-channel cross-phase modulation (IXPM) and intra-channel four-wave mixing (IFWM) triplets that advantageously provide a more direct pathway to underlying nonlinear interactions.

    MISO (MultIStore-Online-tuning) System
    165.
    发明申请
    MISO (MultIStore-Online-tuning) System 有权
    MISO（Multistore-Online-tuning）系统

    公开(公告)号：US20160147832A1

    公开(公告)日：2016-05-26

    申请号：US14321881

    申请日：2014-07-02

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jagan Sankaranarayanan ,  Vahit Hacigumus ,  Jeffrey LeFevre ,  Junichi Tatemura

    IPC: G06F17/30

    CPC classification number: G06F17/30457 ,  G06F17/30339 ,  G06F17/30383 ,  G06F17/30598

    Abstract: A system includes first and second data stores, each store having a set of materialized views of the base data and the views comprise a multistore physical design; an execution layer coupled to the data stores; a query optimizer coupled to the execution layer; and a tuner coupled to the query optimizer and the execution layer, wherein the tuner determines a placement of the materialized views across the stores to improve workload performance upon considering each store's view storage budget and a transfer budget when moving views across the stores.

    Abstract translation: 系统包括第一和第二数据存储，每个存储具有一组基本数据的物化视图，并且视图包括多存储物理设计; 耦合到数据存储的执行层; 耦合到执行层的查询优化器; 以及耦合到所述查询优化器和所述执行层的调谐器，其中，所述调谐器在跨所述商店移动视图时，在考虑每个商店的视图存储预算和转移预算时，确定跨所述商店的物化视图的放置以改善工作负载性能。

    Parallelized Machine Learning With Distributed Lockless Training
    166.
    发明申请
    Parallelized Machine Learning With Distributed Lockless Training 有权
    并行机器学习与分布式无锁训练

    公开(公告)号：US20160103901A1

    公开(公告)日：2016-04-14

    申请号：US14872521

    申请日：2015-10-01

    Applicant: NEC Laboratories America, Inc.

    Inventor： Asim Kadav ,  Erik Kruus ,  Hao Li

    IPC: G06F17/30 ,  G06N99/00 ,  H04L12/751

    CPC classification number: G06N99/005 ,  G06F9/46 ,  G06F17/30174 ,  G06F17/30209 ,  G06F17/30578

    Abstract: Systems and methods are disclosed for providing distributed learning over a plurality of parallel machine network nodes by allocating a per-sender receive queue at every machine network node and performing distributed in-memory training; and training each unit replica and maintaining multiple copies of the unit replica being trained, wherein all unit replicas train, receive unit updates and merge in parallel in a peer-to-peer fashion, wherein each receiving machine network node merges updates at later point in time without interruption and wherein the propagating and synchronizing unit replica updates are lockless and asynchronous.

    Abstract translation: 公开了用于通过在每个机器网络节点处分配每发送器接收队列并执行分布式存储器内训练来在多个并行机器网络节点上提供分布式学习的系统和方法; 并训练每个单元复制品并维护被训练的单元副本的多个副本，其中所有单元副本训练，接收单元更新并且以对等方式并行并入，其中每个接收机网络节点在稍后的点处合并更新 时间不间断，其中传播和同步单元副本更新是无锁定和异步的。

    Integrated approach to model time series dynamics in complex physical systems
    167.
    发明授权
    Integrated approach to model time series dynamics in complex physical systems 有权
    在复杂物理系统中建立时间序列动力学的综合方法

    公开(公告)号：US09245235B2

    公开(公告)日：2016-01-26

    申请号：US14050945

    申请日：2013-10-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Haifeng Chen ,  Min Ding ,  Bin Liu ,  Abhishek Sharma ,  Kenji Yoshihira ,  Guofei Jiang

    IPC: G06N5/04 ,  G06N99/00 ,  G06F17/18 ,  G06F11/30

    CPC classification number: G06N99/005 ,  G06F11/3055 ,  G06F11/3072 ,  G06F17/18 ,  G06N5/048

    Abstract: A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

    Abstract translation: 一种用于分析复杂系统的系统和方法，包括基于时间序列数据确定模型参数，还包括分析多种类型的数据属性以发现复杂数据属性和依赖性; 将数据依赖关系分类为预定类别进行分析; 以及基于所发现的属性和依赖关系生成多个模型。 系统和方法可以基于为每个模型确定的适应度分数来使用处理器分析生成的模型，以生成每个模型的状态报告; 整合每个模型的状态报告，以确定生成的模型的异常得分; 并且当异常得分超过预定阈值时产生报警。

    Combining I-Q and/or PolMux optical receiver to enable single detector
    168.
    发明授权
    Combining I-Q and/or PolMux optical receiver to enable single detector 有权
    结合I-Q和/或PolMux光接收器，实现单检测

    公开(公告)号：US09203521B2

    公开(公告)日：2015-12-01

    申请号：US14457460

    申请日：2014-08-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Junqiang Hu ,  Ting Wang ,  Lei Xu

    IPC: H04B10/06 ,  H04B10/61

    CPC classification number: H04B10/613 ,  H04B10/612 ,  H04B10/614

    Abstract: A method for reducing optical components at a receiver which include converting an input signal at a receiver to include an interleaving of alternate signal diversity components, the signal diversity components including phase diversity when the converting includes 0 and 90 degree interleaving and the signal diversity components include polarization diversity interleaving when the converting includes interleaved orthogonal polarizations, and combining the signal diversity components for enabling a single photo detection at the receiver to detect the alternative signal diversity components for subsequent analog-to-digital conversion.

    Abstract translation: 一种用于减少接收机处的光学部件的方法，包括在接收机处转换输入信号以包括交替的信号分集分量的交织，所述信号分集分量包括当转换包括0和90度交织时的相位分集，并且信号分集分量包括 当转换包括交错的正交偏振时，偏振分集交错，以及组合信号分集分量，以使接收机处的单次光检测能够检测用于随后的模数转换的备选信号分集分量。

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