会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • INTEGRATED GATEWAY APPARATUS AND COMMUNICATIONS METHOD
    • 集成网关设备和通信方法
    • US20100135308A1
    • 2010-06-03
    • US12548648
    • 2009-08-27
    • Kwangil LEEJun Hee PARKChang Eun LEEKyeong Deok MOON
    • Kwangil LEEJun Hee PARKChang Eun LEEKyeong Deok MOON
    • H04L12/56
    • H04L12/66H04L12/4625H04L63/0227H04L63/16H04L2012/40286
    • An integrated gateway apparatus includes a policy storage for storing therein a first information on message filtering and switching policies for messages received from heterogeneous devices in lower networks via network interfaces; a device management unit for extracting a second information on the messages, the devices and the network interfaces; a layer-basis filter unit for performing, based on the first and the second information, the message filtering and switching on the messages on a layer basis; and an integrated switch management unit for providing the first information to the layer-basis filter unit and controlling the layer-basis filtering unit. The layer-basis filter unit includes a switch filter unit, a route filter unit and a gateway filter unit for performing the message filtering and switching in a MAC layer, in a network layer and a transport layer and in an application layer, respectively.
    • 集成网关装置包括策略存储器,用于在其中存储关于消息过滤的第一信息和用于经由网络接口​​从下级网络中的异构设备接收的消息的交换策略; 用于提取关于消息,设备和网络接口的第二信息的设备管理单元; 层次滤波器单元,用于基于第一和第二信息,以层为基础来执行消息过滤和消息上的切换; 以及用于将所述第一信息提供给所述层基滤波器单元并且控制所述基于层的滤波单元的集成交换管理单元。 层基滤波器单元包括交换滤波器单元,路由滤波器单元和网关滤波器单元,用于分别在网络层,传输层和应用层中执行MAC层中的消息过滤和交换。
    • 2. 发明申请
    • SYSTEM AND METHOD FOR FAULT PREDICTION IN HOME NETWORK
    • 家庭网络故障预测系统与方法
    • US20100057649A1
    • 2010-03-04
    • US12430166
    • 2009-04-27
    • Chang Eun LEEJun Hee PARKKyeong Deok MOON
    • Chang Eun LEEJun Hee PARKKyeong Deok MOON
    • G06F15/18G06F15/173
    • H04L41/147H04L41/0631H04L41/16
    • A system for fault prediction in a home network includes: a context generator for generating context information based on status data collected in real time about components of the home network; a specification interpreter for generating knowledge rules for fault detection by using specifications of the components of the home network; a context analyzer for analyzing if the context information meet the knowledge rules to classify the context information into normal situation contexts and abnormal situation contexts; a context pattern learner for generating new knowledge rules based on the abnormal situation contexts and fault rules corresponding to the abnormal situation contexts; a knowledge rule database for storing and managing the knowledge rules and the new knowledge rules; and a fault predictor for analyzing a correlation between the knowledge rules or the new knowledge rules and the generated context information, thereby predicting faults to be generated.
    • 家庭网络中的故障预测系统包括:上下文生成器,用于基于家庭网络的组件实时收集的状态数据来生成上下文信息; 用于通过使用家庭网络的组件的规范来生成用于故障检测的知识规则的规范解释器; 用于分析上下文信息是否满足知识规则以将上下文信息分类为正常情况上下文和异常情况上下文的上下文分析器; 基于异常情境情境和与异常情境相关的故障规则生成新知识规则的情境模式学习者; 用于存储和管理知识规则和新知识规则的知识规则数据库; 以及用于分析知识规则或新知识规则与生成的上下文信息之间的相关性的故障预测器,从而预测要生成的故障。
    • 6. 发明申请
    • SWARM INTELLIGENCE-BASED MOBILE ROBOT, METHOD FOR CONTROLLING THE SAME, AND SURVEILLANCE ROBOT SYSTEM
    • 基于智能智能的移动机器人,控制其的方法和监视机器人系统
    • US20110135189A1
    • 2011-06-09
    • US12873569
    • 2010-09-01
    • Chang Eun LEE
    • Chang Eun LEE
    • G06T7/00B25J9/18
    • B25J9/1682G05B2219/39155G05B2219/39169G05D1/0027G05D1/0295G05D2201/0209
    • A plurality of swarm intelligence-based mobile robots, each having multiple legs and multiple joints, the mobile robot includes: an environment recognition sensor for collecting sensed data about the surrounding environment of the mobile robot; a communication unit for performing communication with a remote controller, a parent robot managing at least one mobile robot, or the other mobile robots located within a predefined area; and a control unit for controlling the motions of the multiple legs and multiple joints to control movement of the mobile robot to a given destination based on control data transmitted from the remote controller through the communication unit or based on communication with the other mobile robots within the predefined area or based on the sensed data collected by the environment recognition sensor.
    • 多个基于群体智能的移动机器人,每个具有多个腿和多个关节,移动机器人包括:环境识别传感器,用于收集关于移动机器人的周围环境的感测数据; 用于执行与遥控器的通信的通信单元,管理至少一个移动机器人的父机器人或位于预定区域内的其他移动机器人; 以及控制单元,用于基于通过所述通信单元从所述遥控器发送的控制数据或者基于与所述其他移动机器人的通信来控制所述多个腿和多个关节的运动,以控制所述移动机器人到给定目的地的移动 或者基于由环境识别传感器收集的感测数据。
    • 7. 发明申请
    • METHOD AND SYSTEM FOR PERFORMING SEAMLESS LOCALIZATION
    • 用于执行无缝局部化的方法和系统
    • US20120158177A1
    • 2012-06-21
    • US13328557
    • 2011-12-16
    • Chang Eun LEETae-Kyung SUNGSung Hoon KIMHyun-Ja IMYoung-Jo CHO
    • Chang Eun LEETae-Kyung SUNGSung Hoon KIMHyun-Ja IMYoung-Jo CHO
    • G05B19/418
    • G05D1/0282G05D1/0278G05D1/0291
    • A system achieves seamless localization for a plurality of robots when first some robots moves to a shadow area where GPS signals are not received while remaining second robots receives the GPS signals, by performing an absolute localization for the second robots using the GPS signals; and performing an absolute localization for the second robots using the GPS signals; performing a relative localization for the first robots based on the second robots, thereby determining an absolute location of the first robots. Further, when the second robots move to the shadow area where the first robots have been moved, the system performs the seamless localization by determining a relative location of the second robots based on the first robots on which the relative localization has been performed, thereby determining an absolute location of the second robots based on the relative location of the second robots.
    • 当第一个机器人移动到没有接收到GPS信号的阴影区域,而剩下的第二机器人接收到GPS信号时,通过使用GPS信号执行第二机器人的绝对定位,系统实现多个机器人的无缝定位。 并使用GPS信号对第二机器人执行绝对定位; 基于第二机器人执行第一机器人的相对定位,从而确定第一机器人的绝对位置。 此外,当第二机器人移动到第一机器人被移动的阴影区域时,系统通过基于执行了相对定位的第一机器人确定第二机器人的相对位置来执行无缝定位,从而确定 基于第二机器人的相对位置的第二机器人的绝对位置。