System and method for scheduling elevator cars using pairwise delay minimization
    12.
    发明申请
    System and method for scheduling elevator cars using pairwise delay minimization 有权
    使用成对延迟最小化来安排电梯轿厢的系统和方法

    公开(公告)号:US20070221454A1

    公开(公告)日:2007-09-27

    申请号:US11390508

    申请日:2006-03-27

    CPC classification number: B66B1/18

    Abstract: A method schedules cars of an elevator system, the elevator system including a set of cars, and a set of hall calls. For each car, a waiting time is determined independently if the hall call is the only hall call assigned to the car. For each car, a mutual delay ΔW(h|g) is determined for each possible pair of unassigned hall calls h and assigned hall calls g. The waiting time and mutual delays are summed. Then, the assignments are made to the set of cars so that the sum is a minimum.

    Abstract translation: 一种方法调度电梯系统的汽车,包括一组轿厢的电梯系统和一组门厅呼叫。 对于每辆车,如果门厅呼叫是分配给汽车的唯一门厅呼叫,则独立地确定等待时间。 对于每个轿厢,对于每个可能的一对未分配的门厅呼叫h和所分配的门厅呼叫g,确定相互延迟DeltaW(h | g)。 等待时间和相互延迟相加。 然后,分配给一组汽车,使得总和是最小的。

    Method for designing optimal single pointer predictive keyboards and apparatus therefore
    13.
    发明授权
    Method for designing optimal single pointer predictive keyboards and apparatus therefore 有权
    因此设计最佳单指针预测键盘的方法

    公开(公告)号:US06646572B1

    公开(公告)日:2003-11-11

    申请号:US09506610

    申请日:2000-02-18

    Applicant: Matthew Brand

    Inventor: Matthew Brand

    CPC classification number: G06F3/0219 G06F3/0237 G06F3/04886

    Abstract: Keys are arranged on a keyboard as learned during a training stage. During training, a training corpus of input symbol sequence is provided. Each unique symbol in the corpus has an associated key on the keyboard. A cost function that measures a cost of inputting the symbols of the training corpus is globally minimized. Then, the keys are arranged on the keyboard according to the globally minimized cost function. To reduced the distance a pointer must move, the keys can also be arranged in a hexagonal pattern.

    Abstract translation: 钥匙在训练阶段学习时安排在键盘上。 在训练期间,提供输入符号序列的训练语料库。 语料库中的每个独特符号都具有键盘上的关联键。 衡量输入训练语料库的符号成本的成本函数是全局最小化的。 然后,根据全局最小化的成本函数将键排列在键盘上。 为了减小指针必须移动的距离,键也可以以六边形图案排列。

    System and method for controlling machines according to pattern of contours
    14.
    发明授权
    System and method for controlling machines according to pattern of contours 有权
    根据轮廓图案控制机器的系统和方法

    公开(公告)号:US09104192B2

    公开(公告)日:2015-08-11

    申请号:US13535266

    申请日:2012-06-27

    Applicant: Matthew Brand

    Inventor: Matthew Brand

    Abstract: A set of costs representing operations of a machine along a set of trajectories connecting a set of exit and entry points on contours of a pattern is determined. Each trajectory represents an operation of the machine proceeding from an exit point with an exit velocity to an entry point with an entry velocity according to dynamics of the machine. The set of trajectories includes at least one trajectory representing the operation along a contour with non-zero velocities at corresponding exit and entry points, and at least one trajectory representing the operation between different contours with non-zero velocities at the corresponding exit and entry points. A sequence of the trajectories optimizing a total cost of operation of the machine tracking the pattern is determined based on the costs, and a set of instructions for controlling the machine is determined according to the sequence.

    Abstract translation: 确定一组代表沿着连接模式轮廓上的一组出口和入口点的一组轨迹的机器的操作的成本。 每个轨迹表示机器从具有出口速度的出口点到具有根据机器的动力学的进入速度的入口点进行的操作。 该组轨迹包括至少一个轨迹,其表示在对应的出口和入口点处具有非零速度的轮廓的操作,以及表示在相应的出口和入口点处具有非零速度的不同轮廓之间的操作的至少一个轨迹 。 基于成本确定优化跟踪图案的机器的总操作成本的轨迹序列,并且根据顺序确定用于控制机器的一组指令。

    Battery pack, holster, and extendible processing and interface platform for mobile devices
    16.
    发明授权
    Battery pack, holster, and extendible processing and interface platform for mobile devices 有权
    电池组,皮套,可扩展处理和移动设备接口平台

    公开(公告)号:US08971039B2

    公开(公告)日:2015-03-03

    申请号:US12938351

    申请日:2010-11-02

    Abstract: A battery pack is provided for a mobile communication device, comprising a casing defining a cavity that conforms, at least partially, to the outer shape of the mobile communication device and one or more rechargeable power cells housed within the thickness of the casing. An internal interface engages a corresponding interface on the mobile communication device to provide power from the one or more rechargeable cells to the mobile communication device. An external interface is electrically coupled to the internal interface in order to transmit signals from the mobile communication device to an external device and may further serve to recharge the one or more rechargeable power cells. The battery pack may also serve as an extendible platform by providing additional integrated communication interfaces and/or processors that can be utilized by the mobile communication device to extend its communication and/or processing capabilities.

    Abstract translation: 提供了一种用于移动通信设备的电池组,其包括限定至少部分地符合移动通信设备的外形以及容纳在壳体的厚度内的一个或多个可再充电电力单元的空腔的壳体。 内部接口与移动通信设备上的相应接口相连接,以从一个或多个可再充电单元向移动通信设备供电。 外部接口电耦合到内部接口以便将信号从移动通信设备传输到外部设备,并且还可以用于对一个或多个可再充电电力单元进行再充电。 电池组还可以通过提供可由移动通信设备利用以扩展其通信和/或处理能力的附加集成通信接口和/或处理器来用作可扩展平台。

    Method for Solving Control Problems
    17.
    发明申请
    Method for Solving Control Problems 有权
    解决控制问题的方法

    公开(公告)号:US20120150324A1

    公开(公告)日:2012-06-14

    申请号:US12962744

    申请日:2010-12-08

    CPC classification number: G05B13/048

    Abstract: A method solves a quadratic programming (QP) problem in real-time implementations of model predictive control for automation applications. The method can be implemented for fine-grained parallel solutions. Due to the extreme simplicity of the method, even serial implementations offer considerable speed advantages. The method solves the problem by formulating, over a predetermined time interval, an optimization problem with a quadratic cost function, and linear state and control constraints as a quadratic program for the application. Then, the quadratic program is solved by applying a parallel quadratic programming update law starting from a positive initial estimate to obtain control actions for the application.

    Abstract translation: 一种方法解决了自动化应用中模型预测控制的实时实现中的二次规划(QP)问题。 该方法可以实现细粒度并行解决方案。 由于该方法非常简单,即使串行实现也提供了相当快的优势。 该方法通过在预定的时间间隔内通过二次成本函数,线性状态和控制约束作为应用程序的二次方案来制定问题。 然后,通过应用从正初始估计开始的并行二次规划更新定律来求解二次程序,以获得应用的控制动作。

    Modeling shape, motion, and flexion of non-rigid 3D objects in a sequence of images

    公开(公告)号:US07006683B2

    公开(公告)日:2006-02-28

    申请号:US09791117

    申请日:2001-02-22

    Applicant: Matthew Brand

    Inventor: Matthew Brand

    CPC classification number: G06T7/269 G06T7/579

    Abstract: A method models a non-rigid three-dimensional object directly from a sequence of images. A shape of the object is represented as a matrix of 3D points, and a basis of possible deformations of the object is represented as a matrix of displacements of the 3D points. The matrices of 3D points and displacements forming a model of the object. Evidence for an optical flow is determined from image intensities in a local region near each 3D point. The evidence is factored into 3D rotation, translation, and deformation coefficients of the model to track the object in the video.

    Variable multilinear models for facial synthesis

    公开(公告)号:US20060001673A1

    公开(公告)日:2006-01-05

    申请号:US10881546

    申请日:2004-06-30

    Applicant: Matthew Brand

    Inventor: Matthew Brand

    CPC classification number: G06T13/40

    Abstract: A method constructs a variable multilinear model representing a class of deformable surfaces. First, meshes of deformable surfaces are acquired. The meshes include vertices. The meshes have different identities and different expressions. The meshes can be obtained from images of human faces, where facial features, such as eyes, eyebrows, cheeks, nose, mouth and chin, form the deformable surfaces. The meshes are stored in a memory as elements of a data tensor. The data tensor is selectively flattened to matrices composed of column vectors. An imputative incremental singular value decomposition is applied to each matrix to generate a set of orthogonal bases. Then, the orthogonal bases are applied to the data tensor, via tensor multiplication, to construct a core tensor, which is the variable multilinear model representing the class of surfaces.

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