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    • 1. 发明申请
    • METHOD AND APPARATUS FOR ASSESSING A PIPE SYSTEM
    • 用于评估管道系统的方法和装置
    • WO2016128073A1
    • 2016-08-18
    • PCT/EP2015/059540
    • 2015-04-30
    • VEOLIA ENVIRONNEMENTUNIVERSITY OF CANTERBURY
    • LEE, Pedro Jose
    • G01M3/24G01M7/08
    • G01M3/24G01M7/08
    • The method of determining a pipe wall condition and/or pipe valve condition within a pipe system comprises: introducing (510) a pressure signal at a frequency greater than 30 Hz to fluid at a first connection point at a local station within the pipe system; measuring propagation of the pressure signal through the fluid within the pipe system at a second connection point at a remote station within the pipe system, and/or measuring reflection of the pressure signal through the fluid within the pipe system at the first connection point at the local station within the pipe system; and determining a pipe wall condition (540) and/or pipe valve condition at least partly from the propagated and/or reflected pressure signal
    • 在管道系统内确定管壁条件和/或管道阀状态的方法包括:在管道系统内的本地站处的第一连接点处将大于30Hz的频率的压力信号引入(510)流体; 测量压力信号通过管道系统内的流体在管道系统内的远程站处的第二连接点处的传播,和/或测量压力信号通过管道系统内的流体在第一连接点处的反射 管道系统内的本地站; 以及至少部分地从传播和/或反射的压力信号确定管壁条件(540)和/或管阀状态
    • 3. 发明申请
    • MASKLESS SPEECH AIRFLOW MEASUREMENT SYSTEM
    • MASKESS SPEECH AIRFLOW MEASUREMENT SYSTEM
    • WO2018021920A1
    • 2018-02-01
    • PCT/NZ2017/050104
    • 2017-07-27
    • THE UNIVERSITY OF CANTERBURY
    • DE RYBEL, Tom GerardDERRICK, Donald James
    • A61B5/087
    • A61B5/087A61B5/0873
    • A speech airflow measurement system comprises a feature extraction module configured to receive input signals associated to a user from at least a first sensor and a second sensor, and determine an estimated shape and/or rate of airflow from at least part of the input signals. The system may further comprise a headset comprising the first sensor positioned within at least the first airflow of the user; the second sensor positioned within at least the second airflow of the user; and a shielding member adapted to shield the first sensor from the second airflow, the shielding member adapted to provide an air gap between the shielding member and a face of the user while the headset is in use by the user.
    • 语音气流测量系统包括:特征提取模块,其被配置为从至少第一传感器和第二传感器接收与用户相关联的输入信号,并且确定来自气流的估计形状和/或速率 至少部分输入信号。 该系统可以进一步包括头戴式耳机,头戴式耳机包括定位在用户的至少第一气流内的第一传感器; 该第二传感器位于使用者的至少第二气流内; 以及屏蔽构件,适于屏蔽第一传感器与第二气流,屏蔽构件适于在耳机被用户使用时在屏蔽构件与用户的脸部之间提供气隙。
    • 9. 发明申请
    • APPARATUS AND METHOD FOR TESTING A PAVEMENT SPECIMEN
    • 测试路面试件的装置和方法
    • WO2018004360A1
    • 2018-01-04
    • PCT/NZ2017/050088
    • 2017-06-28
    • UNIVERSITY OF CANTERBURY
    • SALEH, Mofreh
    • G01N3/34G01N33/42
    • A rut testing apparatus (200, 300, 400) for testing the susceptibility of a pavement specimen (201, 301, 401) to rutting has a specimen holder (203, 303, 403) for supporting the specimen to be tested, a wheel (202), and a sensor (230, 231, 330, 430, 433). The specimen holder (203, 303, 403) is arranged to support the specimen (201, 301, 401) from below and to support two opposite ends of the specimen. The specimen holder (203, 303, 403) is arranged to allow the specimen (201, 301, 401) to deform in a lateral direction LD that is transverse to a direction that extends between the opposite ends. The wheel (202) is arranged to move along a part of the specimen (201, 301, 401) in the direction that extends between the opposite ends. The sensor (230, 231, 330, 430, 433) determines deformation of the specimen (201, 301, 401) in the lateral direction LD.
    • 用于测试路面样本(201,301,401)对车辙的敏感性的车辙测试设备(200,300,400)具有用于支撑该路面样本(201,301,401) 待测样品,轮子(202)和传感器(230,231,330,430,433)。 样本保持器(203,303,403)被布置为从下方支撑样本(201,301,401)并且支撑样本的两个相对端。 试样保持器(203,303,403)被设置成允许试样(201,301,401)在横向于在相对端之间延伸的方向的横向方向LD上变形。 轮(202)被布置为沿着在相对端之间延伸的方向沿着样本(201,301,401)的一部分移动。 传感器(230,231,330,430,433)确定样本(201,301,401)在横向方向LD上的变形。
    • 10. 发明申请
    • NEUROMORPHIC NETWORK
    • 神经网络
    • WO2017003303A1
    • 2017-01-05
    • PCT/NZ2016/050108
    • 2016-07-01
    • BROWN, Simon AnthonyFOSTNER, ShawnBOSE, Saurabh KumarTHE UNIVERSITY OF CANTERBURY
    • BROWN, Simon AnthonyFOSTNER, ShawnBOSE, Saurabh Kumar
    • B82Y10/00B82Y30/00B82B3/00
    • G06N3/0635B82Y10/00
    • Disclosed herein is a neuromorphic percolating network (100). The network comprises a substrate (102) having at least two electrical contacts (104A, 104B); a plurality of nanoparticles (106, 108, 100) distributed on the substrate (102), at least some of the nanoparticles positioned between at least two of the at least two electrical contacts, the surface coverage of the nanoparticles within a tolerance of a percolation threshold; and at least one memristive element (116) located at least partially in a gap between nanoparticles, or groups of nanoparticles, that are not otherwise directly connected to each other, the memristive element(s) at least partially providing at least one persistent pathway (118,120) of increased activity. Disclosed herein are methods for fabricating a neuromorphic percolating network or component thereof, and neuromorphic percolating networks formed by such methods.
    • 本文公开了一种神经元渗透网络(100)。 网络包括具有至少两个电触头(104A,104B)的基板(102); 分布在基底(102)上的多个纳米颗粒(106,108,100),位于至少两个电触点中的至少两个之间的纳米颗粒中的至少一些纳米颗粒在渗透公差范围内的表面覆盖 阈; 至少一个至少部分地位于纳米颗粒或纳米颗粒组之间的间隙中的至少一个不存在彼此直接连接的忆阻元件(116),所述忆阻元件至少部分地提供至少一个持久性通路( 118,120)。 本文公开了制造神经形态渗滤网或其组分的方法,以及通过这些方法形成的神经形态渗滤网。