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    • 86. 发明授权
    • Convergence rate of full wavefield inversion using spectral shaping
    • 使用频谱整形的全波场反演的收敛率
    • US09081115B2
    • 2015-07-14
    • US14492798
    • 2014-09-22
    • Partha S. RouthSpyridon K. LazaratosAnatoly BaumsteinIvan ChikichevKe Wang
    • Partha S. RouthSpyridon K. LazaratosAnatoly BaumsteinIvan ChikichevKe Wang
    • G06G7/48G01V1/28
    • G01V1/28G01V2210/66G01V2210/67
    • Method for speeding up iterative inversion of seismic data (106) to obtain a subsurface model (102), using local cost function optimization. The frequency spectrum of the updated model at each iteration is controlled to match a known or estimated frequency spectrum for the subsurface region, preferably the average amplitude spectrum of the subsurface P-impedance. The controlling is done either by applying a spectral-shaping filter to the source wavelet (303) and to the data (302) or by applying the filter, which may vary with time, to the gradient of the cost function (403). The source wavelet's amplitude spectrum (before filtering) should satisfy D(f)=fIp(f)W(f), where f is frequency, D(f) is the average amplitude spectrum of the seismic data, and Ip(f) is the average amplitude spectrum for P-impedance in the subsurface region (306,402) or an approximation thereof.
    • 使用局部成本函数优化加速地震数据迭代反演(106)以获得地下模型(102)的方法。 控制每个迭代中更新模型的频谱,以匹配地下区域的已知或估计频谱,最好是地下P-阻抗的平均幅度谱。 控制是通过对源小波(303)和数据(302)应用频谱整形滤波器或通过将可随时间变化的滤波器应用于成本函数(403)的梯度来完成的。 源小波振幅谱(滤波前)应满足D(f)= fIp(f)W(f),其中f为频率,D(f)为地震数据的平均振幅谱,Ip(f)为 地下区域中的P阻抗的平均幅度谱(306,402)或其近似值。
    • 87. 发明申请
    • SYSTEMS, METHODS, AND MEDIA FOR OUTPUTTING DATA BASED ON ANOMALY DETECTION
    • 基于异常检测的输出数据的系统,方法和媒体
    • US20150186647A1
    • 2015-07-02
    • US14634101
    • 2015-02-27
    • Salvatore J. StolfoKe WangJanak Parekh
    • Salvatore J. StolfoKe WangJanak Parekh
    • G06F21/56
    • G06F21/56G06F21/564G06F2221/034H04L63/1416H04L63/1425
    • Systems, methods, and media for outputting data based on anomaly detection are provided. In some embodiments, a method for outputting data based on anomaly detection is provided, the method comprising: receiving, using a hardware processor, an input dataset; identifying grams in the input dataset that substantially include distinct byte values; creating an input subset by removing the identified grams from the input dataset; determining whether the input dataset is likely to be anomalous based on the identified grams, and determining whether the input dataset is likely to be anomalous by applying the input subset to a binary anomaly detection model to check for an n-gram in the input subset; and outputting the input dataset based on the likelihood that the input dataset is anomalous.
    • 提供了基于异常检测输出数据的系统,方法和媒体。 在一些实施例中,提供了一种用于基于异常检测输出数据的方法,所述方法包括:使用硬件处理器接收输入数据集; 识别基本上包含不同字节值的输入数据集中的克数; 通过从输入数据集中移除所识别的克来创建输入子集; 基于所识别的克确定输入数据集是否可能是异常的,并且通过将输入子集应用于二进制异常检测模型来确定输入数据集是否可能是异常的,以检查输入子集中的n-gram; 并且基于输入数据集是异常的可能性来输出输入数据集。
    • 88. 发明授权
    • Convergence rate of full wavefield inversion using spectral shaping
    • 使用频谱整形的全波场反演的收敛率
    • US08892413B2
    • 2014-11-18
    • US13361609
    • 2012-01-30
    • Partha S. RouthSpyridon K. LazaratosAnatoly BaumsteinIvan ChikichevKe Wang
    • Partha S. RouthSpyridon K. LazaratosAnatoly BaumsteinIvan ChikichevKe Wang
    • G06G7/48G01V1/28
    • G01V1/28G01V2210/66G01V2210/67
    • Method for speeding up iterative inversion of seismic data (106) to obtain a subsurface model (102), using local cost function optimization. The frequency spectrum of the updated model at each iteration is controlled to match a known or estimated frequency spectrum for the subsurface region, preferably the average amplitude spectrum of the subsurface P-impedance. The controlling is done either by applying a spectral-shaping filter to the source wavelet (303) and to the data (302) or by applying the filter, which may vary with time, to the gradient of the cost function (403). The source wavelet's amplitude spectrum (before filtering) should satisfy D(f)=fIp(f)W(f), where f is frequency, D(f) is the average amplitude spectrum of the seismic data, and Ip(f) is the average amplitude spectrum for P-impedance in the subsurface region (306,402) or an approximation thereof.
    • 使用局部成本函数优化加速地震数据迭代反演(106)以获得地下模型(102)的方法。 控制每个迭代中更新模型的频谱,以匹配地下区域的已知或估计频谱,最好是地下P-阻抗的平均幅度谱。 控制是通过对源小波(303)和数据(302)应用频谱整形滤波器或通过将可随时间变化的滤波器应用于成本函数(403)的梯度来完成的。 源小波振幅谱(滤波前)应满足D(f)= fIp(f)W(f),其中f为频率,D(f)为地震数据的平均振幅谱,Ip(f)为 地下区域中的P阻抗的平均幅度谱(306,402)或其近似值。
    • 90. 发明授权
    • Method, relay node, and system for processing data on relay link
    • 方法,中继节点和用于处理中继链路数据的系统
    • US08670369B2
    • 2014-03-11
    • US13278859
    • 2011-10-21
    • Ke WangYan Peng
    • Ke WangYan Peng
    • H04W80/02H04B7/14
    • H04W80/02H04B7/155H04W84/047
    • A method, a device, and a system for processing data in a relay link are provided. A method for processing data in a relay link includes: processing, by a relay node by using a first protocol stack, data received by the relay node, where the first protocol stack includes a first MAC layer that is configured to define a media access protocol and an RLC layer that is configured to define a radio link layer, and the first MAC layer is configured to perform tunnel processing on the data. Processing data by using the protocol stacks provided in embodiments of the present invention implements flexible scheduling in the relay link and reduces scheduling overhead in the relay link.
    • 提供了一种用于处理中继链路中的数据的方法,设备和系统。 用于处理中继链路中的数据的方法包括:由中继节点通过使用第一协议栈来处理由中继节点接收的数据,其中第一协议栈包括被配置为定义媒体接入协议的第一MAC层 以及被配置为定义无线电链路层的RLC层,并且所述第一MAC层被配置为对所述数据执行隧道处理。 通过使用本发明的实施例中提供的协议栈来处理数据,在中继链路中实现灵活的调度,并减少中继链路中的调度开销。