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    • 3. 发明申请
    • Augmentation of commercial Wireless Location System (WLS) with moving and/or airborne sensors for enhanced location accuracy and use of real-time overhead imagery for identification of wireless device locations
    • 使用移动和/或机载传感器扩展商业无线定位系统(WLS),以提高定位精度,并使用实时开销图像来识别无线设备位置
    • US20060262011A1
    • 2006-11-23
    • US11398782
    • 2006-04-06
    • Jeffrey BullRobert AndersonThomas GinterMatthew Ward
    • Jeffrey BullRobert AndersonThomas GinterMatthew Ward
    • G01S5/14
    • G01S5/0226G01C11/00G01S5/06
    • Mobile LMUs can be used in a Wireless Location System to provide detection coverage in areas lacking adequate receiver coverage. The mobile LMUs can be used to detect the radio frequency (RF) transmissions from wireless handsets and devices over a period of time to permit determination of their location. The mobile LMU's time, position, and velocity is calculated and transmitted to a SMLC along with any transmissions received from wireless devices. The SMLC analyzes and resolves the Doppler component of the wireless device while compensating for the Doppler component of the mobile LMU. The position and velocity of the wireless device can be compared with real-time imagery taken by the mobile LMU platform to accurately determine the location of the wireless device. To enhance the mobile LMU's ability to detect a signal of interest, which may be very weak and/or corrupted by noise, a process may be employed whereby the low power mobile terminals' signals are received at receiving sites and stored in memory. Then, a more powerful replica of the SOI is received at a later time from a network controller, or BTS, and this is employed to enhance the correlation processing of the SOI in memory.
    • 移动LMU可用于无线位置系统,以在缺乏足够的接收机覆盖的区域提供检测覆盖。 移动LMU可用于在一段时间内检测来自无线手机和设备的射频(RF)传输,以允许确定其位置。 计算移动LMU的时间,位置和速度并将其发送到SMLC以及从无线设备接收的任何传输。 SMLC分析并解决无线设备的多普勒分量,同时补偿移动LMU的多普勒分量。 无线设备的位置和速度可以与移动LMU平台拍摄的实时图像进行比较,以准确地确定无线设备的位置。 为了增强移动LMU检测感兴趣的信号(其可能非常弱和/或被噪声破坏)的能力,可以采用这样的过程,由此在接收站点接收低功率移动终端的信号并将其存储在存储器中。 然后,在后来从网络控制器或BTS接收更强大的SOI复制品,并且这被用于增强存储器中的SOI的相关处理。
    • 7. 发明授权
    • System and method of providing fuel
    • 提供燃料的系统和方法
    • US08185449B2
    • 2012-05-22
    • US12626436
    • 2009-11-25
    • Matthew Ward
    • Matthew Ward
    • G06Q30/00
    • G06Q30/02G06Q20/145G06Q30/0601G06Q30/0605G06Q30/0607G06Q30/0635G06Q40/04
    • Disclosed is a computer implemented method comprising the steps of calculating a fuel entitlement price, which is valid for a first order time period; receiving within the first order time period an order signal representing a first order by a customer for a fuel entitlement volume at the entitlement price, and accepting the first order, wherein the entitlement volume entitles the customer to take delivery from one or more of a plurality of filling stations, within a first entitlement time period, of a volume of fuel, in the aggregate, up to the entitlement volume, the first entitlement time period extending beyond the first order time period; updating a fuel entitlement balance of the customer to reflect the first order and the first entitlement time period; and updating the fuel entitlement balance of the customer in response to receipt of data indicating that the customer has taken delivery of a volume of fuel from a filling station.
    • 公开了一种计算机实现方法,包括以下步骤:计算燃料供应价格,其对于一阶时间段是有效的; 在第一订单时间段内接收表示客户在授权价格下的燃料供应量的第一顺序的订单信号,并接受第一订单,其中授权体积授权客户从一个或多个多个 在第一授权时间段内,在第一授权期间内的总燃料量达到授权量,第一权利期限延长到超过一阶时间段; 更新客户的燃料余额余额以反映第一订单和第一授权时间段; 以及响应于接收到表示客户已经从加油站运送一定数量的燃料的数据来更新客户的燃料权利余额。
    • 8. 发明申请
    • ADAPTIVE REAL-TIME SEIZURE PREDICTION SYSTEM AND METHOD
    • 自适应实时检测预测系统及方法
    • US20120083708A1
    • 2012-04-05
    • US13376170
    • 2010-06-02
    • Pooja RajdevPedro IrazoquiMatthew WardRobert Worth
    • Pooja RajdevPedro IrazoquiMatthew WardRobert Worth
    • A61B5/0476
    • A61B5/0476A61B5/04012A61B5/4094A61B5/7275G16H40/63G16H50/20G16H50/30G16H50/50
    • A real-time seizure prediction system. The system includes an implantable electrode configured to transmit an analog neuro-electrophysiological signal from a subject, an analog-to-digital converter configured to convert the analog neuro-electrophysiological signal to a digital neuro-electrophysiological signal based on a predetermined sampling rate, a processor configured to perform following steps during a period defined by the predetermined sampling rate: calculate a plurality of autocorrelation coefficients of the digital neuro-electrophysiological signal for a first predetermined number of samples, calculate a predicted future value of the digital neuro-electrophysiological data based on the plurality of autocorrelation coefficients and the first predetermined number of samples of the digital neuro-electrophysiological data, compare the predicted future value with an actual future value of the digital neuro-electrophysiological data to determine a prediction error, calculate a threshold based on a mean squared value of the prediction error for the first predetermined number of samples and based on a proportionality constant, generate a seizure prediction signal if the prediction error remains above the threshold for a second predetermined number of samples, and a warning device configured to receive the seizure prediction signal and generate an alert.
    • 实时发作预测系统。 该系统包括被配置为从受试者传送模拟神经 - 电生理信号的可植入电极,被配置为基于预定采样率将模拟神经 - 电生理信号转换为数字神经 - 电生理信号的模数转换器, 处理器,其被配置为在由所述预定采样率定义的时段期间执行以下步骤:针对第一预定数量的采样计算所述数字神经 - 电生理信号的多个自相关系数,计算所述数字神经 - 电生理数据的预测未来值 对多个自相关系数和数字神经 - 电生理数据的第一预定数量样本进行比较,将预测的未来值与数字神经 - 电生理数据的实际未来值进行比较,以确定预测误差,基于 平均值的平均值 如果预测误差保持高于第二预定数量样本的阈值,则基于比例常数的第一预定数量的样本的预测误差,并且基于比例常数,产生捕获预测信号,以及警报装置,被配置为接收发作预测信号,以及 生成警报。