Disconnectable mooring assembly
    32.
    发明授权
    Disconnectable mooring assembly 有权
    可拆卸的系泊组件

    公开(公告)号:US08435091B2

    公开(公告)日:2013-05-07

    申请号:US12922506

    申请日:2009-02-19

    IPC分类号: B63B22/02

    CPC分类号: B63B22/026

    摘要: A disconnectable mooring assembly for a vessel comprises a mooring buoy and a swivel positioned above the mooring buoy. The mooring buoy is provided with a central member for being anchored to the seabed and comprises a number of passages each adapted for receiving a riser. The mooring buoy further comprises an outer member surrounding the central member and capable of a rotation relative thereto. Said outer member is adapted to be housed in and locked to a corresponding receiving opening of the vessel. The swivel is located above the mooring buoy in such a manner that an interspace is defined between the mooring buoy and the swivel.

    摘要翻译: 用于船舶的可拆卸的系泊组件包括系泊浮标和位于系泊浮标上方的旋转件。 系泊浮标设置有中心构件,用于锚定到海底,并且包括多个通道,每个通道适于接收立管。 系泊浮标还包括围绕中心构件并能够相对于其旋转的外部构件。 所述外部构件适于容纳在容器的相应的接收开口中并被锁定。 旋转件位于系泊浮筒上方,使得在系泊浮标和旋转件之间限定了间隙。

    Data storage heater systems with diodes
    34.
    发明授权
    Data storage heater systems with diodes 有权
    带二极管的数据存储加热器系统

    公开(公告)号:US08432636B2

    公开(公告)日:2013-04-30

    申请号:US13421507

    申请日:2012-03-15

    申请人: John L. Brand

    发明人: John L. Brand

    IPC分类号: G11B5/127

    摘要: An aspect of the disclosure relates to data storage heater systems with diodes. In one embodiment, data storage systems include a first electrical connection point, a second electrical connection point, a first electrical branch, and a second electrical branch. The first electrical branch is connected to the first and the second electrical connection points. The first electrical branch has first and second diodes biased in a first direction. The second electrical branch is connected to the first and second electrical connection points. The second electrical branch has third and fourth diodes biased in a second direction.

    摘要翻译: 本公开的一个方面涉及具有二极管的数据存储加热器系统。 在一个实施例中,数据存储系统包括第一电连接点,第二电连接点,第一电分支和第二电分支。 第一电分支连接到第一和第二电连接点。 第一电分支具有沿第一方向偏置的第一和第二二极管。 第二电支路连接到第一和第二电连接点。 第二电分支具有沿第二方向偏置的第三和第四二极管。

    Magnetostrictive displacement transducer with suppression of switching power supply noise
    36.
    发明授权
    Magnetostrictive displacement transducer with suppression of switching power supply noise 有权
    具有抑制开关电源噪声的磁致伸缩位移传感器

    公开(公告)号:US08427137B2

    公开(公告)日:2013-04-23

    申请号:US11956427

    申请日:2007-12-14

    IPC分类号: G01B7/14

    CPC分类号: G01D5/485

    摘要: A transducer senses repetitive pulses on a magnetostrictive element and provides transducer output bursts. A transducer circuit detects the transducer output bursts. An energy storage device couples to a power input of the transducer circuit. A switching power supply couples to the energy storage device and has repetitive suppressed states during which switching in the switching power supply is suppressed. A sequence circuit provides synchronization of the repetitive suppressed states of the switching power supply with the transducer output bursts.

    摘要翻译: 换能器感测磁致伸缩元件上的重复脉冲,并提供换能器输出脉冲串。 换能器电路检测换能器输出脉冲串。 能量存储装置耦合到换能器电路的功率输入。 开关电源耦合到能量存储装置,并具有抑制开关电源的切换的重复抑制状态。 序列电路提供开关电源的重复抑制状态与换能器输出脉冲串的同步。

    Generic framework for large-margin MCE training in speech recognition
    37.
    发明授权
    Generic framework for large-margin MCE training in speech recognition 有权
    语言识别中大面积MCE培训的通用框架

    公开(公告)号:US08423364B2

    公开(公告)日:2013-04-16

    申请号:US11708440

    申请日:2007-02-20

    IPC分类号: G10L15/14 G10L15/00 G10L15/06

    CPC分类号: G10L15/063 G10L2015/0631

    摘要: A method and apparatus for training an acoustic model are disclosed. A training corpus is accessed and converted into an initial acoustic model. Scores are calculated for a correct class and competitive classes, respectively, for each token given the initial acoustic model. Also, a sample-adaptive window bandwidth is calculated for each training token. From the calculated scores and the sample-adaptive window bandwidth values, loss values are calculated based on a loss function. The loss function, which may be derived from a Bayesian risk minimization viewpoint, can include a margin value that moves a decision boundary such that token-to-boundary distances for correct tokens that are near the decision boundary are maximized. The margin can either be a fixed margin or can vary monotonically as a function of algorithm iterations. The acoustic model is updated based on the calculated loss values. This process can be repeated until an empirical convergence is met.

    摘要翻译: 公开了一种用于训练声学模型的方法和装置。 训练语料库被访问并转换成初始声学模型。 对于给定初始声学模型的每个令牌,分数计算分别为正确的类和竞争类。 此外,针对每个训练令牌计算样本自适应窗口带宽。 从计算出的分数和采样自适应窗口带宽值,根据损失函数计算损失值。 可以从贝叶斯风险最小化观点导出的损失函数可以包括移动判定边界的边距值,使得靠近判定边界的正确令牌的令牌到边界的距离最大化。 边距可以是固定边距,也可以作为算法迭代的函数单调变化。 基于计算的损失值更新声学模型。 可以重复该过程,直到满足经验收敛。

    Method of decoding a signal implementing a progressive construction of a decoding tree, corresponding computer program and decoding device
    38.
    发明授权
    Method of decoding a signal implementing a progressive construction of a decoding tree, corresponding computer program and decoding device 有权
    解码实现解码树逐行构造的信号,对应的计算机程序和解码装置的方法

    公开(公告)号:US08421654B2

    公开(公告)日:2013-04-16

    申请号:US12991234

    申请日:2009-05-05

    IPC分类号: H03M7/00

    CPC分类号: H04L1/0054

    摘要: A method of decoding a data signal includes progressively constructing a decoding tree, implementing at least two iterations of the following steps: selecting at least one child node of a current node belonging to a selection interval; storing the child nodes in a first stack; deleting the current node from the first stack; selecting a new current node from the first stack; and if the new current node is a leaf node, storing the path between the root node and the leaf node, in the second stack, and deleting the leaf node from the first stack; otherwise, return to the step of selecting a child node for the new current node. Moreover, the method assigns a probability of likelihood to the bits of at least one symbol of the data signal, taking account of the paths stored in the second stack, and determines a probabilistic estimation of the signal.

    摘要翻译: 解码数据信号的方法包括逐步构造解码树,实现以下步骤的至少两个迭代:选择属于选择间隔的当前节点的至少一个子节点; 将所述子节点存储在第一堆栈中; 从第一堆栈中删除当前节点; 从第一堆栈中选择新的当前节点; 并且如果新的当前节点是叶节点,则在第二堆栈中存储根节点和叶节点之间的路径,并从第一堆栈中删除叶节点; 否则,返回到为当前新节点选择子节点的步骤。 此外,该方法考虑到存储在第二堆叠中的路径,并且确定信号的概率估计,将数据信号的至少一个符号的比特分配给可能性概率。

    Apparatus for processing material, such as a biomass or feed for cattle, having a rotating disc mounted to rotating column
    39.
    发明授权
    Apparatus for processing material, such as a biomass or feed for cattle, having a rotating disc mounted to rotating column 有权
    用于处理材料的装置,例如用于牛的生物质或饲料,具有安装到旋转柱的旋转盘

    公开(公告)号:US08414181B2

    公开(公告)日:2013-04-09

    申请号:US12528708

    申请日:2007-01-15

    IPC分类号: B01F7/24

    摘要: An apparatus for processing material, such as a biomass or fodder for cattle, comprises a container having a bottom and an upright wall, and at least one mixing element comprising an upright column and a mixing blade attached to the column. A front edge of the mixing element at least is proximate to the bottom of the container. The mixing element with its column is rotatably mounted in the container and can be coupled to a drive unit. The mixing blade comprises an element which is rotatably supported on a carrier that is fixed to the column. A part of the circumferential edge of the rotatable element may form the front edge and the part of the outer edge of the mixing blade that joins said front edge.

    摘要翻译: 用于处理材料的装置,例如用于牛的生物质或饲料,包括具有底部和直立壁的容器,以及至少一个混合元件,其包括立柱和连接到该柱的混合叶片。 混合元件的前边缘至少靠近容器的底部。 具有其列的混合元件可旋转地安装在容器中并且可以联接到驱动单元。 混合叶片包括可旋转地支撑在固定到柱上的载体上的元件。 可旋转元件的圆周边缘的一部分可以形成连接所述前边缘的混合叶片的前边缘和外边缘的一部分。

    Invariant visual scene and object recognition
    40.
    发明授权
    Invariant visual scene and object recognition 有权
    不变视觉场景和对象识别

    公开(公告)号:US08406535B2

    公开(公告)日:2013-03-26

    申请号:US13213321

    申请日:2011-08-19

    IPC分类号: G06K9/34 G06K9/46

    CPC分类号: G06K9/6212

    摘要: A method for performing image recognition is disclosed. The method includes obtaining a collection of pixels and grouping at least some of the pixels into a set of cluster features based on gradient magnitude. For each cluster feature in the set, statistical variables are generated. The statistical variables represent a collective property of the pixels in the cluster feature. The statistical variables are utilized as a basis for comparing the collection of pixels to a different collection of pixels.

    摘要翻译: 公开了一种用于执行图像识别的方法。 该方法包括获得像素的集合,并且基于梯度大小将至少一些像素分组成一组聚类特征。 对于集合中的每个集群特征,生成统计变量。 统计变量表示集群特征中像素的集合属性。 统计变量用作将像素的集合与不同的像素集合进行比较的基础。