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    ESD protective circuit with collector-current-controlled triggering for a monolithically integrated circuit
    61.
    发明授权
    ESD protective circuit with collector-current-controlled triggering for a monolithically integrated circuit 有权
    具有集电极电流控制触发的ESD保护电路用于单片集成电路

    公开(公告)号：US07087938B2

    公开(公告)日：2006-08-08

    申请号：US11070824

    申请日：2005-03-01

    申请人： Martin Streibl ,  Kai Esmark ,  Christian Russ ,  Martin Wendel ,  Harald Gossner

    发明人： Martin Streibl ,  Kai Esmark ,  Christian Russ ,  Martin Wendel ,  Harald Gossner

    IPC分类号： H01L29/72 ,  H02H3/00

    CPC分类号： H01L27/0262 ,  H01L27/0259

    摘要： An ESD protective circuit protects an input or output of a monolithically integrated circuit. The ESD protective circuit has at least one bipolar transistor structure and one ESD protective element between two supply networks. The emitter of the bipolar transistor structure is electrically connected to the input or output, while the base is electrically connected to one of the two supply networks. The collector produces a current signal, which is used for triggering of the ESD protective element, when an ESD load occurs at the input or output.

    摘要翻译： ESD保护电路保护单片集成电路的输入或输出。 ESD保护电路在两个供电网络之间具有至少一个双极晶体管结构和一个ESD保护元件。 双极晶体管结构的发射极电连接到输入或输出，而基极电连接到两个供电网络之一。 当输入或输出发生ESD负载时，集电极产生电流信号，用于触发ESD保护元件。

    Method and device for the simulation of non-linear dependencies between physical entities and influence factors measured with sensors on the basis of a micro-simulation approach using probabilistic networks embedded in objects
    62.
    发明申请
    Method and device for the simulation of non-linear dependencies between physical entities and influence factors measured with sensors on the basis of a micro-simulation approach using probabilistic networks embedded in objects 审中-公开
    用于模拟物理实体之间的非线性依赖关系的方法和装置以及使用传感器测量的影响因素，其基于使用嵌入物体中的概率网络的微模拟方法

    公开(公告)号：US20060064295A1

    公开(公告)日：2006-03-23

    申请号：US11228645

    申请日：2005-09-15

    申请人： Arndt Schwaiger ,  Bjorn Stahmer ,  Christian Russ

    发明人： Arndt Schwaiger ,  Bjorn Stahmer ,  Christian Russ

    IPC分类号： G06F9/45

    CPC分类号： G06Q30/02 ,  G06N7/005 ,  G08G1/01 ,  H04W16/22

    摘要： The invention pertains to a method for modeling and simulating entities whose interdependencies, as well as the resulting system behavior, can be used to make statements about real behavior. It is comprised of the following steps: the real entities are each represented by an individual software-object which stores the individual behavior of the corresponding entity, wherein this behavior is extracted from real data about the entity and its environment using machine learning methods, in order to then store the individual behavior within the software-object via a set of probabilistic networks (PN), wherein each PN models one sub-behavior of the entity as quantified linear or non-linear dependencies between a set of influence factors and behavior aspects, the influence factors and behavior aspects are represented by the corresponding nodes in the PN. The global interdependencies between the entities are extracted from real data and stored as linear or non-linear dependencies between the entities in the meta-PN and the meta-PN are generated by merging local PNs and by adding the extracted global interdependencies.

    摘要翻译： 本发明涉及用于建模和模拟实体的方法，其相互依赖性以及由此产生的系统行为可用于对真实行为进行陈述。 它由以下步骤组成：真实实体各自由存储相应实体的个体行为的单个软件对象表示，其中使用机器学习方法从实体及其环境的实际数据中提取该行为，其中， 然后通过一组概率网络（PN）将个体行为存储在软件对象内，其中每个PN将实体的一个子行为建模成一组影响因素和行为方面之间的量化线性或非线性依赖关系 影响因素和行为方面由PN中的相应节点表示。 实体之间的全局相互依赖性从实数数据中提取出来，并存储为元PN中的实体之间的线性或非线性相关性，并且通过合并本地PN并通过添加提取的全局相互依赖性来生成元PN。