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    • 45. 发明授权
    • Device, method, and storage medium for detecting multiplexed relation of applications
    • 用于检测应用程序复用关系的设备,方法和存储介质
    • US08554908B2
    • 2013-10-08
    • US13094269
    • 2011-04-26
    • Yuuki TadaYasushi KobayashiKazuyuki SakaiKazuki Takahashi
    • Yuuki TadaYasushi KobayashiKazuyuki SakaiKazuki Takahashi
    • G06F15/173
    • H04L12/66
    • A configuration information collection unit 1502 and a transaction collection unit 1503 collect a transaction as the configuration information about an IT system and communication data, and stores them in a CMDB 1504. A multiplexed application detection unit 1501 detects as a candidate for a multiplexed application the software of applications multiplexed by evaluating whether or not the application names of the software of applications deployed to a target to be monitored on the IT system match each other. Then, it detects a multiplexed application by evaluating whether or not one or more of evaluation items of a subnet in which a candidate for a multiplexed application is performed, transaction context as the data relating to the names of an applications performed before and after the candidate for a multiplexed application, and transaction information as the transmission/reception data of the candidate for a multiplexed application match each other.
    • 配置信息收集单元1502和交易收集单元1503收集交易作为关于IT系统和通信数据的配置信息,并将其存储在CMDB 1504中。多路复用应用检测单元1501检测多路复用应用的候选 通过评估部署到IT系统上要监视的目标的应用软件的应用程序名称是否相互匹配来复用应用软件。 然后,通过评价是否执行了多路复用应用的候选的子网的评估项目中的一个或多个,检测多路复用的应用程序,作为与候选者之前和之后执行的应用的名称有关的数据的事务上下文 并且作为复用应用的候选者的发送/接收数据的交易信息彼此匹配。
    • 46. 发明申请
    • GAS-INSULATED ELECTRIC DEVICE
    • 气体绝缘电气设备
    • US20130100587A1
    • 2013-04-25
    • US13806202
    • 2010-09-13
    • Tadahiro YoshidaKazuki TakahashiKatsushi NakadaMasahiro Arioka
    • Tadahiro YoshidaKazuki TakahashiKatsushi NakadaMasahiro Arioka
    • H02B13/045
    • H02B13/045H02B1/56H02B13/0358
    • A gas-insulated electric device, by which a cross-sectional area of a central conductor can be reduced. The gas-insulated electric device includes an insulation tube that ranges to portions facing to ground potential portions for a central conductor and to upper-lower portions along the grounding potential portions, and is coaxially arranged along the central conductor in a state where a gap intervenes between the central conductor and the insulation tube; a conductive layer that is formed on an inner surface of an insulation tube and is electrically connected to the central conductor; and a ground layer that is formed on an inner surface or an outer surface of the insulation tube and is grounded; in which heat generated from the central conductor is radiated by convecting the insulation gas through the gap between the central conductor and insulation tube.
    • 一种气体绝缘电气装置,可以减小中心导体的横截面积。 气体绝缘电气装置包括绝缘管,其范围为面向中心导体的地电位部分的部分和沿着接地电位部分的上下部分,并且在间隙干涉的状态下沿着中心导体同轴布置 在中心导体和绝缘管之间; 导电层,其形成在绝缘管的内表面上并与中心导体电连接; 以及形成在绝缘管的内表面或外表面上并接地的接地层; 其中通过将绝缘气体通过中心导体和绝缘管之间的间隙对流而辐射从中心导体产生的热量。
    • 47. 发明授权
    • Traveling toy system
    • 旅行玩具系统
    • US08262431B2
    • 2012-09-11
    • US12601353
    • 2008-05-23
    • Makoto NakanoKazuki Takahashi
    • Makoto NakanoKazuki Takahashi
    • A63H18/00
    • A63H18/02A63H17/28A63H18/10A63H2018/165
    • A traveling toy system is provided, in which it is immediately confirmed where a self-driven towing vehicle is located under an upper track member. Two annular light permeable regions (5B, 5C) are disposed in the upper track member (5). A light emitting means (47) is attached to the self-driven towing vehicle (21). The two light permeable regions (5B, 5C) transmit light emitted from the light emitting means (47) of the self-driven towing vehicle (21). It is recognizable where the light emitting means (47) emits light under the light permeable regions (5B, 5C), as viewed from above the upper track member (5). Thus, it is easy to find where the self-driven towing vehicle (21) is by locating the light-emitting place.
    • 提供了一种旅行玩具系统,其中立即确认自动牵引车辆位于下轨道构件下方。 两个环形透光区域(5B,5C)设置在上轨道构件(5)中。 发光装置(47)附接到自驱动牵引车(21)。 两个透光区域(5B,5C)透射从自驱动牵引车辆(21)的发光装置(47)发射的光。 从上部轨道构件(5)的上方观察,可以识别发光装置(47)在透光区域(5B,5C)下方发光的位置。 因此,通过定位发光场所很容易找到自驱动牵引车(21)的哪里。
    • 50. 发明申请
    • Intelligent robust control system for motorcycle using soft computing optimizer
    • 使用软计算优化器的摩托车智能鲁棒控制系统
    • US20050197994A1
    • 2005-09-08
    • US10792292
    • 2004-03-03
    • Shigeru FujiiHitoshi WatanabeSergey PanfilovKazuki TakahashiSergey Ulyanov
    • Shigeru FujiiHitoshi WatanabeSergey PanfilovKazuki TakahashiSergey Ulyanov
    • B62J99/00B62K21/00G06N3/00G06F17/50B62D6/00G05B13/02G05D1/00G06F7/00G06F15/18G06F17/00G06F19/00G06N3/12G06N5/02G06N7/00
    • B62K21/00
    • A Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a motorcycle is described. In one embodiment, a simulation model of the motorcycle and rider control is used. In one embodiment, the simulation model includes a feedforward rider model. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and/or output variables; the type of fuzzy inference; and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.
    • 描述了用于设计用于控制摩托车的控制系统中使用的知识库(KB)的软计算(SC)优化器。 在一个实施例中,使用摩托车和骑手控制的仿真模型。 在一个实施例中,模拟模型包括前馈骑手模型。 SC优化器包括基于模糊神经网络(FNN)的模糊推理机。 SC优化器提供模糊推理系统(FIS)结构选择,FIS结构优化方法选择和教学信号选择与生成。 用户选择模糊模型,包括以下一个或多个:输入和/或输出变量的数量; 模糊推理的类型; 和初步类型的会员职能。 遗传算法(GA)用于优化语言变量参数和输入 - 输出训练模式。 GA也用于优化规则库,使用模糊模型,最优语言变量参数和教学信号。 GA产生近乎最佳的FNN。 可以使用经典的基于导数的优化程序来改进近似最优的FNN。 GA发现的FIS结构通过基于受控植物实际植物模型的响应的适应度函数进行优化。 SC优化器产生通常比现有技术方法产生的KB更小的鲁棒KB。