ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION
    1.
    发明申请
    ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION 审中-公开
    用于生物和化学试剂检测和鉴定的传感器网络的架构

    公开(公告)号:WO2004023413A3

    公开(公告)日:2004-04-22

    申请号:PCT/US0237477

    申请日:2002-11-21

    CPC classification number: G08B21/12

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    Abstract translation: 传感器网络提供检测,分类和识别大面积(例如地理区域或建筑物)上的各种代理的能力。 网络具有检测速度快,灵敏度高,特异度高的特点。 在网络中采用不同功能级别的传感器进行预警,宽带检测和高度特异性和灵敏度的检测。 通过处理从多个传感器提供的信息来提供具有低误报率的检测的高概率。 使用贝叶斯网络来组合来自网络中的多个传感器的概率以达成有关威胁的存在或不存在的决定。 该网络是现场便携式的,能够进行自主操作。 它还能够提供自动输出决定。

    ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION
    2.
    发明申请
    ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION 审中-公开
    传感器网络的生物和化学物质检测和识别结构

    公开(公告)号:WO2004023414A3

    公开(公告)日:2004-04-22

    申请号:PCT/US0237478

    申请日:2002-11-21

    CPC classification number: G16H50/80

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    Abstract translation: 传感器网络提供了在大面积(如地理区域或建筑物)上检测,分类和识别各种代理的能力。 该网络对不同范围的代理具有检测速度,灵敏度和特异性。 网络中采用不同功能级别的传感器来执行预警,宽带检测和高度特定且敏感的检测。 通过处理从多个传感器提供的信息来提供具有低的虚警概率的高检测概率。 利用贝叶斯网络将来自网络中多个传感器的概率组合起来,以便就存在或不存在威胁​​做出决定。 该网络是现场可移植的并且能够自主操作。 它也能够提供自动化的输出决策。

    ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION

    公开(公告)号:AU2002368179A1

    公开(公告)日:2004-03-29

    申请号:AU2002368179

    申请日:2002-11-21

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    Architectures of sensor networks for biological and chemical agent detection and identification

    公开(公告)号:AU2002368180A8

    公开(公告)日:2004-03-29

    申请号:AU2002368180

    申请日:2002-11-21

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    ARCHITECTURES OF SENSOR NETWORKS FOR BIOLOGICAL AND CHEMICAL AGENT DETECTION AND IDENTIFICATION

    公开(公告)号:AU2002368180A1

    公开(公告)日:2004-03-29

    申请号:AU2002368180

    申请日:2002-11-21

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    Architectures of sensor networks for biological and chemical agent detection and identification

    公开(公告)号:AU2002368179A8

    公开(公告)日:2004-03-29

    申请号:AU2002368179

    申请日:2002-11-21

    Abstract: A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    Tunable optical filter
    9.
    发明专利

    公开(公告)号:AU2002326893A1

    公开(公告)日:2003-03-24

    申请号:AU2002326893

    申请日:2002-09-12

    Abstract: A tunable filter having a top mirror, a bottom mirror, and one or more intervening layers. The one or more intervening layers preferably have a refractive index that changes with temperature. By heating the one or more intervening layers, the wavelength that is selected by the optical filter can be controlled. The one or more intervening layers are preferably heated by passing current through the one or more intervening layers, or by passing current through a separate resistive layer that is thermally coupled to the one or more intervening layers. Such a filter can provide a high degree of wavelength selectivity in a robust and stable manner.

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