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    • 72. 发明授权
    • Systems and methods for characterizing the coverage of ad hoc sensor networks
    • 表征自组织传感器网络覆盖范围的系统和方法
    • US07091902B2
    • 2006-08-15
    • US10736601
    • 2003-12-17
    • Juan LiuXenofon Koutsoukos
    • Juan LiuXenofon Koutsoukos
    • G01S7/40G01S13/04G01S15/04G01S13/00G01S15/00
    • G01S5/0289H04W24/00H04W84/18
    • The systems and methods according to this invention disclose that coverage for an ad hoc sensor network is fundamental to the deployment and utilization of such networks. The invention provides a method which characterizes the coverage of an ad hoc sensor network by defining a sensing field over the space within which the physical phenomenon of interest occurs. Its value at any given point reflects the ability of the sensor network to estimate the phenomenon and/or event, of interest at this point. A statistical method is presented to determine such a field based on sensor layouts and sensor models. The system and methods of the invention define well monitored regions and sensor holes, information that can be used to characterize the quality of service that the network provides for different applications. A graphical user interface may be provided to display this information to the user for monitoring in health management of the network. The systems and methods of the invention apply to fixed as well as mobile sensors.
    • 根据本发明的系统和方法公开了一种自组织传感器网络的覆盖对于这种网络的部署和利用是至关重要的。 本发明提供了一种通过在感兴趣物理现象发生的空间上限定感测场来表征自组织传感器网络的覆盖范围的方法。 它在任何给定点的价值反映了传感器网络在这一点上估计感兴趣的现象和/或事件的能力。 提出了一种基于传感器布局和传感器模型来确定这样一个领域的统计方法。 本发明的系统和方法定义了良好监测的区域和传感器孔,可用于表征网络为不同应用提供的服务质量的信息。 可以提供图形用户界面以向用户显示该信息以便在网络的健康管理中进行监视。 本发明的系统和方法适用于固定和移动传感器。
    • 73. 发明申请
    • Wear-based load-balancing for production networks
    • 用于生产网络的基于磨损的负载平衡
    • US20060126107A1
    • 2006-06-15
    • US11011667
    • 2004-12-14
    • Patrick CheungJuan LiuTracy Thieret
    • Patrick CheungJuan LiuTracy Thieret
    • G06F3/12
    • G06F3/1208G06F3/1226G06F3/1261G06F3/1288
    • A computerized method is presented for the management of job distribution among a population of networked production machines through balancing of the usage load over the population of networked machines based upon wear data. The method includes initializing a production server, which communicates with the networked production machines. The wear rate for each monitored component within each machine is synchronized, as is the residual life for each monitored component. The residual life value for each networked production machine is communicated to the production server. A determination is made as to whether a job request has arrived, and production machine(s) are selected to perform the job, with selection based on the state of wear of each networked production machine and the wear policy being applied to the network. The residual life values for the selected production machine(s) are updated based on the requirements of the job.
    • 提出了一种计算机化方法,用于通过基于磨损数据平衡网络机器群体的使用负担来管理网络生产机器群体中的工作分配。 该方法包括初始化与网络化生产机器通信的生产服务器。 每个机器中每个受监视组件的磨损率同步,每个监控组件的剩余寿命也是如此。 每个联网的生产机器的剩余寿命值传达给生产服务器。 根据每个联网的生产机器的磨损状况和施加到网络的磨损策略进行选择,确定作业请求是否到达,并且生产机器被选择来执行作业。 所选生产机器的剩余寿命值根据作业的要求进行更新。
    • 74. 发明申请
    • Systems and methods for distributed group formation and maintenance in geographically based networks
    • 基于地理位置的网络中分布式组织和维护的系统和方法
    • US20050055417A1
    • 2005-03-10
    • US10655301
    • 2003-09-05
    • James ReichJuan LiuJie Liu
    • James ReichJuan LiuJie Liu
    • H04L12/56H04L29/06H04L29/08H04W4/04H04W64/00H04W84/20G06F15/16G06F17/00
    • H04W4/04H04L29/06H04L67/10H04L67/125H04L69/329H04W64/00H04W84/20
    • In a distributed sensor network, one or more devices, for example, forming a collaborative group, are associated with a physical phenomenon based on geographical proximity. The sensor network is capable of detecting new phenomena and changing the membership of the collaborative group as the phenomenon changes. Sensors not associated with a detected phenomenon are available to detect new phenomenon, and one group may exist per phenomenon. Upon detection of a phenomenon, a group of nodes is formed and a leader node is elected. As the phenomenon changes over time, new devices come into proximity of the phenomenon and are prevented from forming independent groups associated with the phenomenon. This accomplished in a decentralized way with communication restricted to local neighbors. In a tracking sensor network using a relatively small number of sensors, the sensors are active and maintain a coherent belief associating their measurements with a single common vehicle.
    • 在分布式传感器网络中,例如形成协作组的一个或多个设备与基于地理接近度的物理现象相关联。 传感器网络能够随着现象的变化,检测新的现象,改变协同组的成员资格。 与检测到的现象不相关的传感器可用于检测新现象,每个现象可能存在一组。 在检测到现象时,形成一组节点,并且选出一个前导节点。 随着时间的推移,新的设备越来越接近现象,并且防止了与现象相关联的独立组。 这是以分散的方式实现的,通信限于当地邻国。 在使用相对较少数量的传感器的跟踪传感器网络中,传感器是有效的,并且保持将其测量与单个公共车辆相关联的连贯的信念。
    • 79. 发明授权
    • Membrane-based methods and system for color characterization
    • 基于膜的颜色表征方法和系统
    • US08390906B2
    • 2013-03-05
    • US12557838
    • 2009-09-11
    • Juan LiuHaitham Hindi
    • Juan LiuHaitham Hindi
    • H04N1/60
    • H04N1/6033
    • Methods and systems are presented for characterizing a printer, display or other color reproduction device in which a forward color transform having a parametric surface forward color transform and a nonparametric residual forward color transform is updated by adapting the parametric surface forward color transform using an input adaptation data set and a measured adaptation data set, generating a prediction data set in the second color space using the adapted parametric surface forward color transform and the nonparametric residual forward color transform, generating a prediction error data set in the second color space using the input adaptation data set and the prediction data set, generating a membrane forward color transform using the prediction error data set, and updating the forward color transform using the adapted parametric and nonparametric forward color transforms.
    • 呈现用于表征打印机,显示器或其他颜色再现设备的方法和系统,其中通过使用输入适配器适配参数表面前向颜色变换来更新具有参数表面正向颜色变换和非参数残差前向颜色变换的正向色变换 数据集和测量的自适应数据集,使用适配的参数表面前向颜色变换和非参数残差前向色彩变换在第二颜色空间中生成预测数据集,使用输入自适应生成在第二颜色空间中的预测误差数据集 数据集和预测数据集,使用预测误差数据集产生膜前向颜色变换,并且使用适配的参数和非参数前向颜色变换来更新前向颜色变换。