OFSense: light-weight networking sensing with OpenFlow
    201.
    发明授权
    OFSense: light-weight networking sensing with OpenFlow 有权
    OFSense:使用OpenFlow进行轻量级网络感知

    公开(公告)号:US08874737B2

    公开(公告)日:2014-10-28

    申请号:US13554632

    申请日:2012-07-20

    Abstract: A method for determining the state of an entire network, including state of applications and infrastructure includes receiving network control messages in an OpenFlow network, passing normal network control messages through OFSense, a control plane middleware, and constructing from the network control messages an application level connectivity graph to infer network delay between any two communicating server in the network and estimating an application response time of a given server in the network; and providing state of the network for enabling intelligent detection and diagnosis of infrastructure and application performance.

    Abstract translation: 一种用于确定整个网络的状态的方法,包括应用和基础设施的状态包括在OpenFlow网络中接收网络控制消息,通过OFSense传递正常网络控制消息,控制平面中间件,以及从网络控制消息构建应用级别 连接图,以推断网络中任何两个通信服务器之间的网络延迟,并估计网络中给定服务器的应用程序响应时间; 并提供网络的状态,以实现基础设施和应用程序性能的智能检测和诊断。

    Method and apparatus for full natural language parsing
    202.
    发明授权
    Method and apparatus for full natural language parsing 有权
    全自然语言解析的方法和装置

    公开(公告)号:US08874434B2

    公开(公告)日:2014-10-28

    申请号:US13150898

    申请日:2011-06-01

    CPC classification number: G06F17/271 G06F17/2775

    Abstract: The method and apparatus for discriminative natural language parsing, uses a deep convolutional neural network adapted for text and a structured tag inference in a graph. In the method and apparatus, a trained recursive convolutional graph transformer network, formed by the deep convolutional neural network and the graph, predicts “levels” of a parse tree based on predictions of previous levels.

    Abstract translation: 用于辨别自然语言解析的方法和装置,使用适于文本的深卷积神经网络和图中的结构化标签推理。 在该方法和装置中,通过深卷积神经网络和图形形成的经过训练的递归卷积变换网络基于先前水平的预测来预测解析树的“水平”。

    High-Order Semi-RBMs and Deep Gated Neural Networks for Feature Interaction Identification and Non-Linear Semantic Indexing
    205.
    发明申请
    High-Order Semi-RBMs and Deep Gated Neural Networks for Feature Interaction Identification and Non-Linear Semantic Indexing 审中-公开
    高阶半RBM和深度门控神经网络,用于特征交互识别和非线性语义索引

    公开(公告)号:US20140310218A1

    公开(公告)日:2014-10-16

    申请号:US14243311

    申请日:2014-04-02

    CPC classification number: G06N3/08

    Abstract: Systems and method are disclosed for determining complex interactions among system inputs by using semi-Restricted Boltzmann Machines (RBMs) with factorized gated interactions of different orders to model complex interactions among system inputs; applying semi-RBMs to train a deep neural network with high-order within-layer interactions for learning a distance metric and a feature mapping; and tuning the deep neural network by minimizing margin violations between positive query document pairs and corresponding negative pairs.

    Abstract translation: 公开了系统和方法,用于通过使用半限制玻尔兹曼机器(RBM)与系统输入之间的复杂相互作用的分解门控交互来确定系统输入之间的复杂相互作用; 应用半RBM来训练具有高阶层内交互的深层神经网络,用于学习距离度量和特征映射; 并通过最小化正查询文档对和对应的负对之间的边缘违规来调整深层神经网络。

    PMU BASED DISTRIBUTED GENERATION CONTROL FOR MICROGRID DURING ISLANDING PROCESS
    206.
    发明申请
    PMU BASED DISTRIBUTED GENERATION CONTROL FOR MICROGRID DURING ISLANDING PROCESS 审中-公开
    基于PMU的分布式生成控制在岛屿过程中微型化

    公开(公告)号:US20140306534A1

    公开(公告)日:2014-10-16

    申请号:US14243275

    申请日:2014-04-02

    Abstract: A method for voltage regulation of a power distribution grid includes integrating a photovoltaic (PV) system with a distributed energy storage system (ESS); monitoring voltage and current phasors at a point of common coupling (PCC) to establish a real-time Thevenin equivalent of the distribution grid; and adaptively dispatching the ESS in response to network fluctuations.

    Abstract translation: 配电网的电压调节方法包括将光伏(PV)系统与分布式能量存储系统(ESS)相集成; 在公共耦合点(PCC)监测电压和电流相量,以建立配电网的实时戴维南当量; 并响应网络波动自适应调度ESS。

    Space Reclamation of Objects in a Persistent Cache
    207.
    发明申请
    Space Reclamation of Objects in a Persistent Cache 审中-公开
    持久缓存中对象的空间回收

    公开(公告)号:US20140304478A1

    公开(公告)日:2014-10-09

    申请号:US14247201

    申请日:2014-04-07

    CPC classification number: G06F12/0253 G06F12/0891

    Abstract: Disclosed herein are methods and structures for a computer cache that includes its own garbage collection component that reclaims space occupied by free objects in the cache such that the cache avoids retaining deleted objects thereby increasing cache hit ratios and further permits short-lived dirty objects to be deleted without requiring them to be written back to an underlying store.

    Abstract translation: 这里公开的是用于计算机高速缓存的方法和结构,其包括其自己的垃圾收集组件,其回收由高速缓存中的空闲对象占据的空间,使得高速缓存避免保留被删除的对象,从而增加缓存命中率,并且进一步允许短命的脏对象为 删除而不需要将它们写回到底层商店。

    Effective Lifetime Dependency Analysis and Typestate Analysis
    208.
    发明申请
    Effective Lifetime Dependency Analysis and Typestate Analysis 审中-公开
    有效的终身依赖性分析和类比分析

    公开(公告)号:US20140289712A1

    公开(公告)日:2014-09-25

    申请号:US14199036

    申请日:2014-03-06

    CPC classification number: G06F11/3608 G06F8/433 G06F11/3624

    Abstract: Disclosed are typestate and lifetime dependency analysis methods for identifying bugs in C++ programs. Disclosed are an abstract representation (ARC++) that models C++ objects and which makes object creation/destruction, usage, lifetime and pointer operations explicit in the abstract model thereby providing a basis for static analysis on the C++ program. Also disclosed is a lifetime dependency analysis that tracks implied dependency relationships between lifetimes of objects, to capture an effective high-level abstraction for issues involving temporary objects and internal buffers, and subsequently used in the static analysis that supports typestate checking for the C++ program. Finally disclosed a framework that automatically genarates ARC++ representations from C++ programs and performs typestate checking to detect bugs that are specified as typestate automata over ARC++ representations.

    Abstract translation: 公开了用于识别C ++程序中的错误的类型和寿命依赖性分析方法。 披露的是一个抽象表示(ARC ++),用于对C ++对象进行建模,并使抽象模型中的对象创建/使用,生命周期和指针操作明确,从而为C ++程序的静态分析提供依据。 还公开了一种终身依赖关系分析,可追踪对象生命周期之间的隐含依赖关系,为涉及临时对象和内部缓冲区的问题捕获有效的高级抽象,随后用于支持C ++程序的类型检查的静态分析。 最后披露了一个框架,可以自动生成C ++程序中的ARC ++表示,并执行类型化检查,以检测通过ARC ++表示形式指定为typestate自动机的错误。

    FLOW MANAGEMENT FOR DATA STREAMS OVER CELLULAR NETWORKS
    209.
    发明申请
    FLOW MANAGEMENT FOR DATA STREAMS OVER CELLULAR NETWORKS 有权
    流量管理用于细胞网络中的数据流

    公开(公告)号:US20140286164A1

    公开(公告)日:2014-09-25

    申请号:US14220837

    申请日:2014-03-20

    Abstract: Methods and systems for data flow control include establishing a first connection between a gateway and a network client responsive to a connection request from the network client; establishing a second connection between the gateway and a server specified by the connection request; determining a user class for the network client based on a level of network congestion detected at the gateway based on throughput and round-trip-time delays; modifying a data flow received at the gateway on the second connection to remove data from the flow based on the determined user class of the network client; and transmitting the modified data flow to the network client via the first connection.

    Abstract translation: 用于数据流控制的方法和系统包括响应于来自网络客户端的连接请求建立网关与网络客户端之间的第一连接; 建立网关与由连接请求指定的服务器之间的第二连接; 基于吞吐量和往返时间延迟,基于在网关处检测到的网络拥塞的级别来确定网络客户端的用户类别; 修改在第二连接处在网关处接收的数据流,以基于所确定的网络客户端的用户类别从流中移除数据; 以及经由所述第一连接将修改的数据流发送到所述网络客户端。

    Bidirectional Submarine Repeater Using Unidirectional Amplification
    210.
    发明申请
    Bidirectional Submarine Repeater Using Unidirectional Amplification 有权
    双向潜艇中继器使用单向放大

    公开(公告)号:US20140270782A1

    公开(公告)日:2014-09-18

    申请号:US14203944

    申请日:2014-03-11

    Inventor: Ming-Fang Huang

    CPC classification number: H04B10/2971

    Abstract: A bidirectional submarine transmission using unidirectional amplification transmits first and second communication signals bidirectional to each other over a repeater path with common end-to-end points, the repeater path includes a single unidirectional amplifier, the repeater path has a first branch path for the first communication signal through the single amplifier and a second branch path for the second communication signal through the single unidirectional amplifier, the first and second communication signals originating and leaving opposite ends of the repeater path, respectively.

    Abstract translation: 使用单向放大的双向海底传输通过具有公共端对端的中继器路径彼此双向传输第一和第二通信信号,中继器路径包括单个单向放大器,中继器路径具有第一分支路径,用于第一 通过单个放大器的通信信号和通过单个单向放大器的第二通信信号的第二分支路径,第一和第二通信信号分别起始和离开中继器路径的相对端。

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