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    • 4. 发明申请
    • Method and apparatus for licensing and controlling access, use, and viability of product utilizing geographic position
    • 使用地理位置的产品的获取,使用和可行性的许可和控制的方法和装置
    • US20020017977A1
    • 2002-02-14
    • US09921968
    • 2001-08-03
    • Mark Emanuel Wall
    • G05B019/00H04Q001/00G05B023/00
    • G01S19/14G06Q10/08
    • A method and system for controlling use of software and hardware, and for controlling access to and usability of commodities, by use of position (or location) dependent signals emanating from GPS, DPGS, GLONASS, and other sources, in conjunction with time and ephemeris data, wherein the receipt of position (or location) data is verified by reference to independent time and satellite ephemeris data, and where when position (or location) is established within preloaded boundaries, the system is rendered useful. A module which includes software and/or hardware modules (implemented as chip sets in combination with mechanical actuators), and a position (or location) determining system such as a global positioning receiver, built into each device and/or shipping container used to transport devices and/or commodities for control.
    • 通过使用从GPS,DPGS,GLONASS和其他来源发出的与位置(或位置)相关的信号,结合时间和星历,控制软件和硬件的使用以及用于控制商品的访问和可用性的方法和系统 数据,其中通过参考独立的时间和卫星星历数据来验证位置(或位置)数据的接收,并且当在预加载的边界内建立位置(或位置)时,系统变得有用。 包括软件和/或硬件模块(与机械致动器组合地实现为芯片组)的模块以及内置于每个设备和/或运输容器中的位置(或位置)确定系统,例如全球定位接收器 设备和/或商品进行控制。
    • 8. 发明申请
    • Integrating biometric devices in time and attendance applications
    • 将生物识别设备集成在考勤应用中
    • US20020030582A1
    • 2002-03-14
    • US09865884
    • 2001-05-25
    • Mark DeppMartin J. JaniakGreg KruegerMatthew HumphreysSteve SchmalzDan Piorkowski
    • H04Q001/00G06K009/00G05B023/00G05B019/00G08C019/00G08B029/00
    • G07C9/00087G07C1/10G07C9/00111G07C9/00158
    • A biometric network for use in time and attendance applications is disclosed. The system includes at least one biometric device which is capable of identifying a user and generating data related to the user. The biometric device compares live biometric data, for example, fingerprint data, with stored biometric data, such as on an optical data card, memory card, smart card, or other biometric storage device. The invention includes a central data center which communicates with the biometric devices and receives the generated data transmitted from the biometric devices. The devices may be connected to the central data center via serial connection, wireless connection, modem, ethernet or the Internet. The generated data may relate to the attendance of the user at a particular location, the timing of particular events, such as entrance and exiting time, check-in times, or other time-stamp requirements. The biometric-verified data is included in reports generated from the time and attendance data from the biometric devices, in formats useful to the user of the application. The system provides a time and attendance application that includes a biometric solution to provide additional security and more accurate records.
    • 公开了一种用于时间和考勤应用的生物识别网络。 该系统包括至少一个能够识别用户并生成与用户有关的数据的生物测定装置。 生物测定装置将实时生物特征数据(例如,指纹数据)与存储的生物统计数据(例如光学数据卡,存储卡,智能卡或其他生物测定存储设备)进行比较。 本发明包括与生物测定装置进行通信并接收从生物测定装置发送的生成数据的中央数据中心。 这些设备可以通过串行连接,无线连接,调制解调器,以太网或Internet连接到中央数据中心。 生成的数据可以涉及用户在特定位置的出席,特定事件的定时,例如入口和离开时间,入住时间或其他时间戳要求。 生物特征验证的数据包含在从生物测定装置的时间和考勤数据生成的报告中,其格式对应用程序的用户有用。 该系统提供了一个考勤应用程序,其中包括一个生物识别解决方案,以提供额外的安全性和更准确的记录。
    • 9. 发明申请
    • Artificial neural network and fuzzy logic based boiler tube leak detection systems
    • 人工神经网络和基于模糊逻辑的锅炉管道泄漏检测系统
    • US20010001149A1
    • 2001-05-10
    • US09726516
    • 2000-12-01
    • Ali T. AlouaniPeter S. Chang
    • G05B019/43G05B009/05G05B023/00G06N003/02
    • G05B13/027G06N3/0436Y10S706/902Y10S706/907
    • Power industry boiler tube failures are a major cause of utility forced outages in the United States, with approximately 41,000 tube failures occurring every year at a cost of $5 billion a year. Accordingly, early tube leak detection and isolation is highly desirable. Early detection allows scheduling of a repair rather than suffering a forced outage, and significantly increases the chance of preventing damage to adjacent tubes. The instant detection scheme starts with identification of boiler tube leak process variables which are divided into universal sensitive variables, local leak sensitive variables, group leak sensitive variables, and subgroup leak sensitive variables, and which may be automatically be obtained using a data driven approach and a leak sensitivity function. One embodiment uses artificial neural networks (ANN) to learn the map between appropriate leak sensitive variables and the leak behavior. The second design philosophy integrates ANNs with approximate reasoning using fuzzy logic and fuzzy sets. In the second design, ANNs are used for learning, while approximate reasoning and inference engines are used for decision making. Advantages include use of already monitored process variables, no additional hardware and/or maintenance requirements, systematic processing does not require an expert system and/or a skilled operator, and the systems are portable and can be easily tailored for use on a variety of different boilers.
    • 电力行业锅炉管故障是美国实行有效停电的主要原因,每年出现约41,000个管道故障,每年耗资50亿美元。 因此,早期的管泄漏检测和隔离是非常需要的。 早期检测允许安排修理而不是遭受强制中断,并显着增加防止相邻管损坏的机会。 即时检测方案开始于锅炉管泄漏过程变量的识别,分为通用敏感变量,局部泄漏敏感变量,组泄漏敏感变量和子组泄漏敏感变量,并且可以使用数据驱动方法自动获得, 泄漏灵敏度功能。 一个实施例使用人工神经网络(ANN)来学习适当的泄漏敏感变量与泄漏行为之间的映射。 第二种设计理念将ANN与使用模糊逻辑和模糊集的近似推理相结合。 在第二种设计中,ANN用于学习,而近似推理和推理引擎则用于决策。 优点包括使用已经监控的过程变量,无需额外的硬件和/或维护要求,系统处理不需要专家系统和/或熟练的操作员,并且系统是便携式的,并且可以容易地定制以用于各种不同的 锅炉