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    • 5. 发明申请
    • IDENTIFICATION OF LOADS ACTING ON AN OBJECT
    • 对物体进行负载识别
    • US20120031193A1
    • 2012-02-09
    • US13262450
    • 2010-04-01
    • Douglas E. AdamsNick A. StitesNathanael C. YoderJonathan R. White
    • Douglas E. AdamsNick A. StitesNathanael C. YoderJonathan R. White
    • G01N19/00
    • G01M17/08G01L25/00G01M5/00
    • Structural health monitoring systems can be limited to a minimum number of sensors due to cost, complexity, and weight restrictions. Some embodiments described herein pertain to a load and damage identification techniques that utilize one sensor. Several passive force estimation techniques are presented. Some techniques use either the shape or the amplitude of the magnitude of the applied force in the frequency domain. Several techniques iteratively reduce an underdetermined set of equations of motion into many overdetermined systems of equations to solve for the force estimates. The techniques are shown to locate and quantify impulsive impacts with over 97% accuracy and non-impulsive impacts with at least 87% accuracy. Impacts not acting at a specific input degree of freedom are also accurately located depending on the distance away from the modeled input degrees of freedom, and damaging impact forces are quantified by making assumptions about the impulsive nature of the applied force.
    • 由于成本,复杂性和重量限制,结构健康监测系统可以限制在最少数量的传感器。 这里描述的一些实施例涉及利用一个传感器的负载和损伤识别技术。 提出了几种被动力估计技术。 一些技术使用频域中施加的力的大小的形状或振幅。 几种技术将不确定的运动方程组迭代地减少到许多超定方程组以求解力估计。 这些技术被显示为定位和量化冲动冲击,超过97%的精度和非冲击性冲击,至少87%的精度。 取决于距离模拟输入自由度的距离,也不会在特定输入自由度下作用的影响,并且通过对所施加的力的冲击性质做出假设来量化破坏性的冲击力。
    • 7. 发明授权
    • Synthesized speech-facilitated product preparation and/or delivery
system and method
    • 合成的语音促进产品制备和/或递送系统和方法
    • US4882475A
    • 1989-11-21
    • US80573
    • 1987-07-31
    • Phillip MillerRichard P. ShindleyKristi T. FeltzGeorge E. HansonJonathan R. White
    • Phillip MillerRichard P. ShindleyKristi T. FeltzGeorge E. HansonJonathan R. White
    • G06Q10/08G06Q40/00
    • G06Q10/087G06Q40/12
    • In the case of a pizza home delivery system, customer addresses and mapping information may be auomatically retrieved and displayed based on customer telephone number, and order data including an assigned order number may be imprinted on a label to be attached to each pizza container. Preferably, the system produces the order number in the form of a bar code on an adhesively backed label. Each driver may check out order for delivery by inserting his coded identification key at a bar code reader station and having the bar code labels scanned into the system, so that each order is assigned to a particular driver in a reliable and accurate manner. A voice synthesizer unit at the station can then remind the driver that the order includes beverages or more than one pizza container, and can advise the driver when the sum of the cash payments he has received for his deliveries exceeds a certain amount, making it advisable to deposit some of the accumulated cash before the next delivery. The system is modular and readily expanded to a multi-store system with a centralized telephone order entry station.
    • 在比萨家庭送货系统的情况下,可以基于客户电话号码自动检索和显示客户地址和映射信息,并且包括分配的订单号的订单数据可以印在要附接到每个比萨容器的标签上。 优选地,系统在粘性​​支持的标签上以条形码的形式产生订单编号。 每个驾驶员可以通过将其编码的识别密钥插入条形码阅读器站并将条形码标签扫描到系统中来检查发货顺序,以便以可靠和准确的方式将每个订单分配给特定的驾驶员。 然后车站的语音合成器单元可以提醒司机,该订单包括饮料或多于一个比萨饼容器,并且可以向司机通知他已经收到的现金付款总额超过一定数量时,建议 在下一次交货之前存入一些累积的现金。 该系统是模块化的,并且容易地扩展到具有集中式电话订单进入站的多存储系统。