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    POWER STORAGE DEVICE
    17.
    发明申请
    POWER STORAGE DEVICE 有权
    电源存储设备

    公开(公告)号：US20130273428A1

    公开(公告)日：2013-10-17

    申请号：US13644263

    申请日：2012-10-04

    Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

    Inventor： Takahiro KAWAKAMI ,  Hiroatsu Todoriki ,  Teppei Oguni ,  Takeshi Osada ,  Shunpei Yamazaki

    IPC: H01M4/131

    CPC classification number: H01M4/366 ,  H01M4/131 ,  H01M4/483 ,  H01M4/505 ,  H01M4/523 ,  H01M4/525 ,  H01M4/625 ,  H01M10/0525 ,  Y02E60/122

    Abstract: A power storage device a positive electrode including a positive electrode active material layer and a negative electrode including a negative electrode active material layer. The positive electrode active material layer includes a plurality of particles of x[Li2MnO3]-(1-x)[LiCo1/3Mn1/3Ni1/3O2] (obtained by assigning 0.5 to x, for example) which is a positive electrode active material, and multilayer graphene with which the plurality of particles of the positive electrode active material are at least partly connected to each other. In the multilayer graphene, a plurality of graphenes are stacked in a layered manner. The graphene contains a six-membered ring composed of carbon atoms, a poly-membered ring which is a seven or more-membered ring composed of carbon atoms, and an oxygen atom bonded to one or more of the carbon atoms in the six-membered ring and the poly-membered ring, which is a seven or more-membered ring.

    Abstract translation: 蓄电装置，包括正极活性物质层和含有负极活性物质层的负极的正极。 正极活性物质层包含多个x [Li 2 MnO 3] - （1-x）[LiCo1 / 3Mn1 / 3Ni1 / 3O2]（通过分配例如0.5〜x的x）作为正极活性物质的粒子， 以及所述多个正极活性物质的所述粒子至少部分地彼此连接的多层石墨烯。 在多层石墨烯中，以分层的方式层叠多个石墨烯。 石墨烯含有由碳原子组成的六元环，由碳原子构成的七元或更多元环的多元环，和与六元环中的一个或多个碳原子键合的氧原子 环和多元环，其为七元或多元环。

    Parameter search method
    18.
    发明授权
    Parameter search method 有权

    公开(公告)号：US12242787B2

    公开(公告)日：2025-03-04

    申请号：US18591680

    申请日：2024-02-29

    Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

    Inventor： Teppei Oguni ,  Takeshi Osada ,  Takahiro Fukutome

    IPC: G06F30/367 ,  G06N3/042 ,  G06N3/08

    Abstract: A parameter candidate for a semiconductor element is provided. A data set of measurement data is provided to a parameter extraction portion, and a model parameter is extracted. A first netlist is provided to a circuit simulator, simulation is performed using the first netlist and the model parameter, and a first output result is output. A classification model learns the model parameter and the first output result and classifies the model parameter. A second netlist and a model parameter are provided to the circuit simulator. A variable to be adjusted is supplied to a neural network, an action value function is output, and the variable is updated. The circuit simulator performs simulation using the second netlist and the model parameter. When a second output result to be output does not satisfy conditions, a weight coefficient of the neural network is updated. When the second output result satisfies the conditions, the variable is judged to be the best candidate.

    Data processing system and data processing method
    20.
    发明授权
    Data processing system and data processing method 有权

    公开(公告)号：US12142080B2

    公开(公告)日：2024-11-12

    申请号：US17778623

    申请日：2020-11-20

    Applicant: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.

    Inventor： Tatsuya Okano ,  Teppei Oguni ,  Kengo Akimoto

    IPC: G06V10/74 ,  G06V10/762 ,  G06V10/82 ,  G06V40/16 ,  G06V40/20

    Abstract: A data processing system that can sense fatigue or the like using a neural network is provided. First, a reference image is obtained on the basis of first to n-th images (n is an integer greater than or equal to 2). Next, the first to n-th images and the reference image are input to an input layer of a neural network, first to n-th estimated ages and a reference estimated age are output from an output layer, and first to n-th data and reference data are output from an intermediate layer. After that, first to n-th coordinates are obtained in each of which an x-coordinate is a value corresponding to a difference between the reference estimated age and the first to n-th estimated ages and a y-coordinate is a value corresponding to the degree of similarity between the reference data and the first to n-th data. Next, a query image is input to the input layer, a query estimated age is output from the output layer, query data is output from the intermediate layer, and query coordinates are obtained using the output results. Whether a person of a face included in the query image feels fatigue or the like is determined on the basis of the first to n-th coordinates and the query coordinates.

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