Systems and methods for distributed group formation and maintenance in geographically based networks
    1.
    发明申请
    Systems and methods for distributed group formation and maintenance in geographically based networks 有权
    基于地理位置的网络中分布式组织和维护的系统和方法

    公开(公告)号:US20050055417A1

    公开(公告)日:2005-03-10

    申请号:US10655301

    申请日:2003-09-05

    摘要: 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.

    摘要翻译: 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。

    Systems and methods for distributed group formation and maintenance in geographically based networks
    2.
    发明授权
    Systems and methods for distributed group formation and maintenance in geographically based networks 有权
    基于地理位置的网络中分布式组织和维护的系统和方法

    公开(公告)号:US07562123B2

    公开(公告)日:2009-07-14

    申请号:US10655301

    申请日:2003-09-05

    IPC分类号: G06F15/16 G01S7/40

    摘要: 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.

    摘要翻译: 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。

    AUTOMATIC DETECTION OF PERSISTENT CHANGES IN NATURALLY VARYING SCENES
    3.
    发明申请
    AUTOMATIC DETECTION OF PERSISTENT CHANGES IN NATURALLY VARYING SCENES 有权
    自动检测自然变化场景中的随机变化

    公开(公告)号:US20140079280A1

    公开(公告)日:2014-03-20

    申请号:US13617965

    申请日:2012-09-14

    IPC分类号: G06K9/62

    CPC分类号: G06K9/62 G06K9/00771

    摘要: A method for detecting a persistent change in a dynamically varying scene includes: obtaining a set of reference images of the scene; transforming the reference images into an abstract feature space; classifying pixels of the reference images in the abstract feature space; generating a stable reduced-reference image based on the classifications of corresponding pixels; obtaining a set of test images of the scene; transforming the test images into the abstract feature space; classifying pixels of the test images in the abstract feature space; generating a stable test image based on the classifications of corresponding pixels; and comparing the stable reduced-reference and test images to one another to detect a difference therein, the difference corresponding to a persistent change in the dynamically varying scene occurring between when the reference images and the test images were obtained.

    摘要翻译: 一种用于检测动态变化场景中的持续变化的方法包括:获得一组场景的参考图像; 将参考图像转换为抽象特征空间; 在抽象特征空间中分类参考图像的像素; 基于相应像素的分类生成稳定的缩小参考图像; 获取一组场景的测试图像; 将测试图像转换为抽象特征空间; 在抽象特征空间中分类测试图像的像素; 基于相应像素的分类生成稳定的测试图像; 并且将稳定的缩小参考和测试图像彼此进行比较以检测其中的差异,所述差异对应于在获得参考图像和测试图像之间发生的动态变化场景中的持续变化。

    Computationally efficient tiered inference for multiple fault diagnosis
    4.
    发明授权
    Computationally efficient tiered inference for multiple fault diagnosis 有权
    用于多故障诊断的计算有效的分层推理

    公开(公告)号:US08473785B2

    公开(公告)日:2013-06-25

    申请号:US12610700

    申请日:2009-11-02

    IPC分类号: G06F11/00

    摘要: A computer based method and system for tiered inference multiple fault diagnosis is provided. The method includes using a computer processor to dissect a hypothesis space representing a production system having a plurality of production modules into tiers. Production modules in the current tier are partitioned into a group or a set of sub-groups. A fault diagnosis algorithm is applied to the group of each sub-group to identify an acceptable fault diagnosis. When no acceptable fault diagnosis is found, the process moves to the next tier to perform further investigations. The process continues to move to higher tiers until an acceptable fault diagnosis is obtained or the system instructs the process to end.

    摘要翻译: 提供了一种基于计算机的分层推理多故障诊断方法和系统。 该方法包括使用计算机处理器来将表示具有多个生产模块的生产系统的假设空间解剖为层。 当前层中的生产模块被分成一组或一组子组。 将故障诊断算法应用于每个子组的组,以识别可接受的故障诊断。 当没有发现可接受的故障诊断时,流程进入下一层进行进一步的调查。 该过程继续移动到更高级别,直到获得可接受的故障诊断或系统指示过程结束。

    Methods and system for improved color characterization
    5.
    发明授权
    Methods and system for improved color characterization 有权
    改进颜色表征的方法和系统

    公开(公告)号:US08390885B2

    公开(公告)日:2013-03-05

    申请号:US12557994

    申请日:2009-09-11

    IPC分类号: H04N1/60

    CPC分类号: H04N1/6033 H04N1/40006

    摘要: Methods and systems are presented for characterizing a printer, display or other color reproduction device in which parametric and nonparametric forward color transforms are generated to construct a forward color device transform to characterize the mapping of CMYK input data to La*b* data of the device, with the parametric transform adapted to compensate for drifting performance of the color reproduction device.

    摘要翻译: 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,其中生成参数和非参数的前向颜色变换以构建前向颜色设备变换,以表征CMYK输入数据到设备的La * b *数据的映射 ,其中参数变换适于补偿色彩再现装置的漂移性能。

    COLOR CHARACTERIZATION MODEL COMPUTATION USING WEIGHTED LEAST SQUARES MINIMIZATION
    7.
    发明申请
    COLOR CHARACTERIZATION MODEL COMPUTATION USING WEIGHTED LEAST SQUARES MINIMIZATION 有权
    使用加权最小均方最小化的颜色特征模型计算

    公开(公告)号:US20120026516A1

    公开(公告)日:2012-02-02

    申请号:US12844412

    申请日:2010-07-27

    IPC分类号: H04N1/60 G09G5/02 G06K9/00

    摘要: Methods and systems are presented for characterizing a color rendering system or a color marking material design process, in which forward color transform parameters are generated for mapping color from a first color space associated with an internal color representation of the color rendering system or marking material design process into a second color space using a least squares minimization of an error metric weighted according to a Taylor series expansion of the error metric.

    摘要翻译: 呈现用于表征显色系统或颜色标记材料设计过程的方法和系统,其中生成前向颜色变换参数,用于映射来自与显色系统的内部颜色表示相关联的第一颜色空间的颜色或标记材料设计 使用根据误差度量的泰勒级数扩展加权的误差度量的最小二乘法最小化处理成第二颜色空间。

    Compositions for treating and preventing hyperlipidemia
    8.
    发明授权
    Compositions for treating and preventing hyperlipidemia 有权
    用于治疗和预防高脂血症的组合物

    公开(公告)号:US08084065B2

    公开(公告)日:2011-12-27

    申请号:US12302193

    申请日:2006-05-29

    申请人: Juan Liu Shengmin Wu

    发明人: Juan Liu Shengmin Wu

    IPC分类号: A61K36/89 A61K36/00

    摘要: A composition for treatment and prevention of hyperlipidemia consists of phytosterols and phytostanols 30-50%, flavones derived from bamboo leaf 20-40%, procyanidins 10-25% and β-glucan of 5-20% by weight. Said composition demonstrates markedly therapeutic effects on preventing and treating hyperlipidemia, compared with the combinations of two or three components selected from phytosterols or phytostanols, flavones derived from bamboo leaf, procyanidins and β-glucan. When applied in supplementary nutrient foods or medicaments, the present composition can effectively lower the levels of cholesterol and triglyceride in blood, therefore can be useful for treating and preventing hyperlipidemia, cardiovascular diseases, coronary heart disease, atherosclerosis, heart disease and the like.

    摘要翻译: 用于治疗和预防高脂血症的组合物包括30-50%的植物甾醇和植物甾醇,来自竹叶的黄酮20-40%,原花青素10-25%和5-20重量%的葡聚糖。 与选自植物甾醇或植物甾烷醇,衍生自竹叶的黄酮,原花青素和葡萄糖的两种或三种组分的组合相比,所述组合物显示出对预防和治疗高脂血症的显着治疗效果。 当应用于补充营养食品或药物时,本发明的组合物可有效降低血液中胆固醇和甘油三酯的含量,因此可用于治疗和预防高脂血症,心血管疾病,冠心病,动脉粥样硬化,心脏病等。

    Method, User Equipment, and System for Network Selection
    9.
    发明申请
    Method, User Equipment, and System for Network Selection 有权
    方法,用户设备和网络选择系统

    公开(公告)号:US20110256867A1

    公开(公告)日:2011-10-20

    申请号:US13168347

    申请日:2011-06-24

    IPC分类号: H04W4/00

    CPC分类号: H04W48/18 H04W4/06 H04W48/08

    摘要: A method, user equipment (UE) and system relates to communications technologies, and in particular, to a network selection technology for a UE on a mobile communication network. The method includes obtaining a public land mobile network and closed subscriber group identity (PLMN/CSG ID) combination parameter of a network that covers a current location; querying an allowed CSG list according to the PLMN/CSG ID combination parameter; and selecting a network according to a query result.

    摘要翻译: 一种方法,用户设备(UE)和系统涉及通信技术,特别是涉及用于移动通信网络上的UE的网络选择技术。 该方法包括获取覆盖当前位置的网络的公共陆地移动网络和封闭用户群组标识(PLMN / CSG ID)组合参数; 根据PLMN / CSG ID组合参数查询允许的CSG列表; 并根据查询结果选择网络。