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公开(公告)号：US20190228299A1
公开(公告)日：2019-07-25
申请号：US15917091
申请日：2018-03-09
Applicant: Microsoft Technology Licensing, LLC
Inventor： Nishanth Chandran , Divya Gupta , Sameer Wagh
Abstract: Systems and methods for private deep neural network training are disclosed. Method includes storing first private values at first machine and second private values at second machine; providing, to third machine, first share of first private values and first share of second private values; providing, to fourth machine, second share of first private values and second share of second private values; computing, at third machine, third machine-value based on first share of first private values and first share of second private values; computing, at fourth machine, fourth machine-value based on second share of first private values and second share of second private values; providing, to first machine and second machine, third machine-value and fourth machine-value; and computing, at first machine, a mathematical function of first private values and second private values, mathematical function being computed based on first private values stored at first machine, third machine-value, and fourth machine-value.
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2.发明申请公开(公告)号：US20180308193A1
公开(公告)日：2018-10-25
申请号：US15959992
申请日：2018-04-23
Applicant: Digimarc Corporation
Inventor： Ravi K. Sharma , John D. Lord , Robert G. Lyons
CPC classification number: G06T1/0064 , G06F1/02 , G06K9/6206 , G06T1/0021 , G06T3/0006 , G06T3/0056
Abstract: Signal processing devices and methods estimate transforms between signals using a least squares technique. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and a suspect signal. For each candidate, update coordinates of reference signal features are identified in the suspect signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a transform or set of top transforms based on a further analysis of correlation, as well as other results.
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公开(公告)号：US20180163690A1
公开(公告)日：2018-06-14
申请号：US15837853
申请日：2017-12-11
Applicant: Ossama Abdelkhalik , Shangyan Zou , Rush D. Robinett, III , National Technology & Engineering Solutions of Sandia, LLC
Inventor： Ossama Abdelkhalik , Giorgio Bacelli , Shangyan Zou , Rush D. Robinett, III , David G. Wilson , Ryan G. Coe
CPC classification number: F03B13/183 , F03B13/16 , F03B15/00 , F03B15/20 , F05B2250/43 , F05B2270/20 , G02F1/39 , G06F1/02 , G06F1/022 , H01J49/4275 , Y02E10/38
Abstract: The invention provides optimal control of a three-degree-of-freedom wave energy converter using a pseudo-spectral control method. The three modes are the heave, pitch and surge. A dynamic model is characterized by a coupling between the pitch and surge modes, while the heave is decoupled. The heave, however, excites the pitch motion through nonlinear parametric excitation in the pitch mode. The invention can use a Fourier series as basis functions to approximate the states and the control. For the parametric excited case, a sequential quadratic programming approach can be implemented to numerically solve for the optimal control. The numerical results show that the harvested energy from three modes is greater than three times the harvested energy from the heave mode alone. Moreover, the harvested energy using a control that accounts for the parametric excitation is significantly higher than the energy harvested when neglecting this nonlinear parametric excitation term.
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公开(公告)号：US09939837B2
公开(公告)日：2018-04-10
申请号：US14405552
申请日：2013-06-04
Inventor： Antonio Jose Acosta Jimenez , Iluminada Baturone Castillo , Javier Castro Ramirez , Carlos Jesus Jimenez Fernandez , Piedad Brox Jimenez , Macarena Cristina Martinez Rodriguez
CPC classification number: G06F1/02 , G05B15/02 , G06F17/175 , G06F17/30864 , G06F17/30961 , G06N99/005
Abstract: Method for generating piecewise-affine multivariate functions, wherein the online computation of the search tree is performed in order to locate the input value in the polytopes of the partition, and the subsequent generation of the corresponding affine function. It also proposes a configurable and programmable device for generating piecewise-affine multivariate functions composed of an architecture with four functional blocks namely: a control unit block (1), a tree memory block, a parameter memory block and an arithmetic unit block; and it has at least three operating modes which can be selected using different values of a bus (config): writing of the tree memory, writing of the parameter memory and evaluating the affine function. It may include a fourth operating mode, which is the test mode.
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5.发明申请METHODS AND DEVICES FOR ERROR CORRECTION OF A SIGNAL USING DELTA SIGMA MODULATION 有权用于使用DELTA SIGMA调制信号进行错误校正的方法和装置公开(公告)号：US20160164531A1
公开(公告)日：2016-06-09
申请号：US14907596
申请日：2013-11-28
Applicant: SMART ENERGY INSTRUMENTS INC.
CPC classification number: H03L7/0994 , G06F1/02 , G06F17/10 , H03L1/00 , H03L7/081 , H03L7/095 , H03M3/30
Abstract: A method for correcting long-term phase drift of a crystal oscillator in a numerically-controlled oscillator is described. The method includes determining the phase error in an oscillator signal in comparison with an external time base; delta-sigma modulating the phase error to generate a delta-sigma error bitstream; conditionally adding or subtracting an error correction step size from a phase increment value in each clock cycle based on the delta-sigma error bitstream, to create a modulated phase increment value; and adding the modulated phase increment value to a phase accumulator to generate an error-corrected output digital signal. The delta-sigma-based error correction method avoids the use of multipliers. The same delta-sigma error signal can be used in multiple numerically-controlled oscillators configured to different output frequency if driven by the same reference oscillator.
Abstract translation: 描述了用于校正数控振荡器中的晶体振荡器的长期相位漂移的方法。 该方法包括：与外部时基相比确定振荡器信号中的相位误差; delta-sigma调制相位误差以产生Δ-Σ误差比特流; 基于Δ-Σ误差比特流，有条件地从每个时钟周期的相位增量值中增加或减去误差校正步长，以产生调制相位增量值; 并将调制相位增量值相加到相位累加器以产生经纠错的输出数字信号。 基于delta-sigma的纠错方法避免了乘法器的使用。 如果由相同的参考振荡器驱动，则可以在配置为不同输出频率的多个数控振荡器中使用相同的delta-sigma误差信号。
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Patent Agency Ranking
6.发明申请公开(公告)号：US20150301555A1
公开(公告)日：2015-10-22
申请号：US14405552
申请日：2013-06-04
Inventor： Antonio Jose Acosta Jimenez , Iluminada Baturone Castillo , Javier Castro Ramirez , Carlos Jesus Jimenez Fernandez , Piedad Brox Jimenez , Macarena Cristina Martinez Rodriguez
CPC classification number: G06F1/02 , G05B15/02 , G06F17/175 , G06F17/30864 , G06F17/30961 , G06N99/005
Abstract: Method for generating piecewise-affine multivariate functions, wherein the online computation of the search tree is performed in order to locate the input value in the polytopes of the partition, and the subsequent generation of the corresponding affine function. It also proposes a configurable and programmable device for generating piecewise-affine multivariate functions composed of an architecture with four functional blocks namely: a control unit block (1), a tree memory block, a parameter memory block and an arithmetic unit block; and it has at least three operating modes which can be selected using different values of a bus (config): writing of the tree memory, writing of the parameter memory and evaluating the affine function. It may include a fourth operating mode, which is the test mode.
Abstract translation: 用于产生分段仿射多变量函数的方法，其中执行搜索树的在线计算，以便在分区的多边形中定位输入值，以及随后生成对应的仿射函数。 它还提出了一种用于生成分段逼近多元函数的可配置和可编程设备，其由具有四个功能块的架构组成，即：控制单元块（1），树存储器块，参数存储块和运算单元块; 并且具有至少三种可以使用总线（config）的不同值来选择的操作模式：写入树存储器，写入参数存储器并评估仿射函数。 它可以包括第四种操作模式，这是测试模式。
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公开(公告)号：USRE45487E1
公开(公告)日：2015-04-21
申请号：US13804519
申请日：2013-03-14
Applicant: Intel Corporation
Inventor： David J. Sager , Thomas D. Fletcher , Glenn J. Hinton , Michael D. Upton
CPC classification number: G06F1/02 , G06F1/06 , G06F1/08 , G06F9/30145 , G06F9/383 , G06F9/3836 , G06F9/3838 , G06F9/384 , G06F9/3855 , G06F9/3857 , G06F9/3863 , G06F9/3869 , G06F15/7832
Abstract: A processor including a first execution core section clocked to perform execution operations at a first clock frequency, and a second execution core section clocked to perform execution operations at a second clock frequency which is different than the first clock frequency. The second execution core section runs faster and includes a data cache and critical ALU functions, while the first execution core section includes latency-tolerant functions such as instruction fetch and decode units and non-critical ALU functions. The processor may further include an I/O ring which may be still slower than the first execution core section. Optionally, the first execution core section may include a third execution core section whose clock rate is between that of the first and second execution core sections. Clock multipliers/dividers may be used between the various sections to derive their clocks from a single source, such as the I/O clock.
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8.发明申请MODEL CALCULATION UNIT, CONTROL UNIT AND METHOD FOR CALIBRATING A DATA-BASED FUNCTION MODEL 审中-公开模型计算单元，控制单元和用于校准基于数据的功能模型的方法公开(公告)号：US20140310325A1
公开(公告)日：2014-10-16
申请号：US14247136
申请日：2014-04-07
Applicant: Tobias LANG , Heiner MARKERT , Axel AUE , Wolfgang FISCHER , Ulrich SCHULMEISTER , Nico BANNOW , Felix STREICHERT , Andre GUNTORO , Christian FLECK , Anne Von VIETINGHOFF , Michael SAETZLER , Michael HANSELMANN , Matthias SCHREIBER
Inventor： Tobias LANG , Heiner MARKERT , Axel AUE , Wolfgang FISCHER , Ulrich SCHULMEISTER , Nico BANNOW , Felix STREICHERT , Andre GUNTORO , Christian FLECK , Anne Von VIETINGHOFF , Michael SAETZLER , Michael HANSELMANN , Matthias SCHREIBER
IPC: G06F1/02
CPC classification number: G06F1/02 , G06F7/5443 , G06F7/556
Abstract: A model calculation unit for calculating a data-based function model in a control unit is provided, the model calculation unit having a processor core which includes: a multiplication unit for carrying out a multiplication on the hardware side; an addition unit for carrying out an addition on the hardware side; an exponential function unit for calculating an exponential function on the hardware side; a memory in the form of a configuration register for storing hyperparameters and node data of the data-based function model to be calculated; and a logic circuit for controlling, on the hardware side, the calculation sequence in the multiplication unit, the addition unit, the exponential function unit and the memory in order to ascertain the data-based function model.
Abstract translation: 提供了一种用于在控制单元中计算基于数据的功能模型的模型计算单元，所述模型计算单元具有处理器核，所述处理器核包括：用于在硬件侧执行乘法的乘法单元; 用于在硬件侧执行添加的附加单元; 用于计算硬件侧的指数函数的指数函数单元; 用于存储要计算的基于数据的功能模型的超参数和节点数据的配置寄存器形式的存储器; 以及用于在硬件侧控制乘法单元，加法单元，指数函数单元和存储器中的计算序列以确定基于数据的函数模型的逻辑电路。
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公开(公告)号：US20140306774A1
公开(公告)日：2014-10-16
申请号：US14204409
申请日：2014-03-11
Applicant: FUJITSU LIMITED
Inventor： Ken ATSUMI
IPC: H03L7/00
CPC classification number: H03J1/0008 , G06F1/02 , H03B2200/009 , H03L7/00 , H03L7/0991
Abstract: A digitally controlled oscillator that generates an output frequency according to input data includes a determination unit that determines whether the input data has a value that causes deterioration in a phase noise characteristic of the digitally controlled oscillator, an offset unit that offsets the input data when the input data is determined to have the value that causes deterioration in the phase noise characteristic, and a generating unit that generates the output frequency using the input data after being offset.
Abstract translation: 根据输入数据生成输出频率的数字控制振荡器包括确定单元，其确定输入数据是否具有导致数字控制振荡器的相位噪声特性劣化的值，偏移单元，当偏移单元在 确定输入数据具有导致相位噪声特性劣化的值，以及产生单元，其在偏移之后使用输入数据产生输出频率。
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10.发明授权公开(公告)号：US08676872B2
公开(公告)日：2014-03-18
申请号：US13029887
申请日：2011-02-17
Applicant: David Patrick Magee
Inventor： David Patrick Magee
IPC: G06F1/02
CPC classification number: G06F1/02
Abstract: A recursive method for computing numerical values for mathematical functions includes providing a recursive Taylor series representation of a mathematical function f(x) of a variable x evaluated around a given operating point a. The recursive Taylor series representation includes a plurality of derivative derived terms that include ratios of derivatives of f(x) evaluated at the operating point a. Coefficient data is determined from ones of the derivative derived terms stored in a tangible memory device evaluated at the operating point a over a predetermined range. An approximation for the mathematical function f(x) is computed using the recursive Taylor series representation evaluated with the coefficient data.
Abstract translation: 用于计算数学函数的数值的递归方法包括提供围绕给定操作点a评估的变量x的数学函数f（x）的递归泰勒级数表示。 递归泰勒级数表示包括多个导数项，其包括在操作点a处评估的f（x）的导数的比率。 系数数据由存储在工作点a处于预定范围内的有形存储器件中的衍生衍生项中的一个确定。 使用用系数数据评估的递归泰勒级数表达式计算数学函数f（x）的近似值。
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