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    • 62. 发明授权
    • Systems and methods using artificial intelligence for routing electric vehicles
    • US10288439B2
    • 2019-05-14
    • US15439673
    • 2017-02-22
    • Robert D. Pedersen
    • Robert D. Pedersen
    • G01C21/00G01C21/34G06N3/04B60L11/18G05D1/00G05D1/02G08G1/0968
    • The present invention provides specific systems, methods and algorithms based on artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. The systems and methods of the present invention disclose use of one or more specifically programmed computer machines with artificial intelligence expert system battery energy management and navigation route control. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations. Expert system algorithms operating on combinations of expert defined parameter subsets for route selection are disclosed. Specific fuzzy logic methods are also disclosed based on defined potential route parameters with fuzzy logic determination of crisp numerical values for multiple potential routes and comparison of those crisp numerical values for selection of a particular route. Application of the present invention systems and methods to autonomous or driver-less EVs is also disclosed.
    • 65. 发明授权
    • Prisoner tracking and warning system and corresponding methods
    • 犯人跟踪和警戒系统及相应的方法
    • US06437696B1
    • 2002-08-20
    • US09514771
    • 2000-02-28
    • Jerome H. LemelsonRobert D. PedersenJohn H. Hiett
    • Jerome H. LemelsonRobert D. PedersenJohn H. Hiett
    • G08B2300
    • G08B21/0453G07C9/00111G08B21/0233G08B21/0423G08B21/0469G08B21/22
    • The present invention discloses a general overall system 30 and a general overall method 10 for tracking, monitoring, and learning prisoner or parolee behavior. The system 30 and method 10 involve obtaining prisoner or parolee data and monitoring data for at least one individual prisoner or parolee 38, storing the prisoner or parolee data and monitoring data into a database, learning prisoner or parolee behavior from the prisoner or parolee data and the monitoring data in the database, and updating the prisoner or parolee data and the monitoring data in the database. The present invention involves learning both individual and aggregate prisoner or parolee behavior from the prisoner or parolee data and the monitoring data in the database. The present invention executes expert system (i.e. including but not limited to fuzzy logic, reinforcement learning, neural networks, artificial intelligence, etc.) algorithms for determining and analyzing deviated behavior by the prisoner or parolee 38. The present invention system 30 and method 10 is able to assign a parole level to the prisoner or parolee 38 and determine whether the prisoner or parolee 38 is to be moved up or down a parole level depending on whether the prisoner or parolee behavior does not constitute or does constitute prisoner or parolee violations. Furthermore, the present invention tracks, monitors, and learns the behavior of the prisoner or parolee 38 by controlling and regulating the permitted/prohibited locations or sectors, the permitted/prohibited location or sector dwell times, the permitted/prohibited travel routes, the permitted/prohibited travel times that the prisoner or parolee 38 spend at or between various locations.
    • 本发明公开了一种用于跟踪,监测和学习囚犯或假释行为的通用整体系统30和一般总体方法10。 系统30和方法10涉及为至少一名个人囚犯或假释人员38获取囚犯或假释者数据和监测数据,将囚犯或假释者数据和监测数据存储到数据库中,从囚犯或假释者数据中学习囚犯或假释行为, 数据库中的监控数据,以及更新囚犯或假释者数据和数据库中的监控数据。 本发明涉及从犯人或假释人数据和数据库中的监测数据中学习个人和集体囚犯或假释者行为。 本发明执行专家系统(即包括但不限于模糊逻辑,强化学习,神经网络,人工智能等)算法,用于确定和分析囚犯或假释者的偏离行为38.本发明系统30和方法10 能够向囚犯或假释人员38指定假释级别,并根据囚犯或假释人行为是否构成或确实构成犯人或违反违法行为,确定囚犯或假释人员38是否被放弃假释级别。 此外,本发明通过控制和管制允许/禁止的位置或部门,允许/禁止的位置或部门停留时间,允许/禁止的旅行路线,允许的/禁止的行进路线来跟踪,监视和学习囚犯或假释人38的行为 /禁止旅行时间,囚犯或假释人38在各个地点之间或之间花费。
    • 66. 发明授权
    • Friend or foe detection system and method and expert system military
action advisory system and method
    • US6166679A
    • 2000-12-26
    • US231326
    • 1999-01-13
    • Jerome H. Lemelson, deceasedby Dorothy Lemelson, executrixRobert D. PedersenSteven R. Pedersen
    • Jerome H. Lemelson, deceasedby Dorothy Lemelson, executrixRobert D. PedersenSteven R. Pedersen
    • G01S5/00G01S5/14G01S19/03G01S19/19G01S19/21G01S13/78G01S5/02G01S15/74H04B7/185
    • G01S19/18G01S5/0009
    • A friend or foe detection system and method is disclosed. Friend or foe warning unit 20 has a geographic locating system, a communication system for communicating with each of the warning units, and a military force detection system for detecting military forces in a combat area and has a signal routing and control circuitry 50 for controlling operations. A number of components, devices, or sub-systems, such as a transmitter/receiver radio 28, an antenna 26, a microphone 30, a speaker 32, a battery 34, a display 36, a microprocessor 38, a memory 40, a camera 56, a radar/lidar input 54, on/off switch 52, a GPS location system 45 that includes a GPS processor 46, a GPS receiver 42, a GPS antenna 44, are coupled to the circuitry 50. Display 36 provides a display to the user of the unit 20 and shows the location of friendly forces as well as unfriendly or unidentified forces in the area. Display 36 displays text messages for the user of the warning unit 20. The microprocessor 38 together with memory 40 provide microprocessor control of the operations of the warning unit 20. The geographic locating system includes GPS processor 46, GPS receiver 42, and GPS antenna 44, and it is used to determine the exact location of the warning unit 20. The unit 20 is able to broadcast and receive military force information, such as location and status (i.e. friendly, unfriendly, unidentified statuses). An expert system military action advisory system and method for advising military troops or personnel of firing decisions is also disclosed. A firing index is determined based on the membership variables, and the firing index is used to help make the firing decisions. The membership variables and the firing index are defined for an expert system or fuzzy logic system, and the expert system or fuzzy logic system helps determine making the firing decisions. The system and method operate by transmitting target and friendly force GPS coordinate information to determine danger. Alternatively, only target coordinates are transmitted with fire danger indices calculated on a distributed basis by individual warning units and transmitted to the source of fire without friendly force location coordinates to assist in making final firing decisions.
    • 67. 发明授权
    • Danger warning and emergency response system and method
    • 危险警示和应急系统及方法
    • US6084510A
    • 2000-07-04
    • US844029
    • 1997-04-18
    • Jerome H. LemelsonRobert D. Pedersen
    • Jerome H. LemelsonRobert D. Pedersen
    • G01S19/48G08B21/10G08B1/08H04N7/18
    • G08G1/164G08B15/004G08B21/10G01S19/17
    • Surveillance platforms in airborne craft (8,10), land based vehicles (12), vessels at sea or fixed structures (14) detect dangers using conventional scanners and transmit information signals describing the dangers to a control center (2) which analyzes the data and determines the degree of danger and its geographic extent. The center generates a danger warning and emergency response including a danger index. The warning/response message identifies the degree of danger (danger index 144) and the GPS coordinates (142) of the impacted geographic area for a wide region or regions of the earth (FIGS. 2-6). A vulnerability index (FIG. 16) determined using neural networks (FIGS. 13-14) and fuzzy logic (FIGS. 15-20) enables a prioritized warning/response. The center broadcasts (18) the danger warning and emergency response (FIG. 9) to a large population of remotely located warning devices (11), such as a network of pagers each of which has a GPS receiver (6,28). The pagers compare the received danger coordinates with their own GPS coordinates and each pager determines the extent to which it is in danger. The warning device automatically issues a warning signal or signals, which may be audible, visual or vibratory, appropriate to the degree of danger. Emergency manned vehicles may also directly receive the broadcast warning/response and be immediately alerted to act appropriately relative to the degree of danger. One embodiment broadcasts (16) directly to home T.V.'s and radios (17) which have internal GPS receivers and which display/annunciate an emergency message customized to that receiver resulting from the internal comparison of the danger coordinates versus the local receiver coordinates.
    • 飞机(8,10),陆基车辆(12),海上船舶或固定结构(14)的监视平台利用传统的扫描仪检测危险,并将描述危险的信息信号传送到控制中心(2),分析数据 并确定危险程度及其地理范围。 该中心产生危险警告和应急响应,包括危险指数。 警告/响应消息标识了广泛区域或地球的受影响地理区域的危险程度(危险指数144)和GPS坐标(142)(图2-6)。 使用神经网络(图13-14)和模糊逻辑(图15-20)确定的脆弱性指数(图16)实现了优先级警告/响应。 中心广播(18)危险警告和紧急响应(图9)到大量远程位置的警报装置(11),诸如每个都具有GPS接收器(6,28)的寻呼机网络。 寻呼机将接收到的危险坐标与其自己的GPS坐标进行比较,每个寻呼机确定其处于危险的程度。 警告装置自动发出警告信号或信号,这可能是可听见的,视觉的或振动的,适合于危险程度。 紧急载人车辆也可以直接接收广播警告/响应,并立即警告相对于危险程度适当行事。 一个实施例直接广播(16)直接到具有内部GPS接收器的家庭T.V和无线电设备(17),并且显示/通知由危险坐标与本地接收机坐标的内部比较而定制到该接收机的紧急消息。