SEMICONDUCTOR DEVICE AND SEMICONDUCTOR MEMORY DEVICE INCLUDING CAPACITOR
    1.
    发明申请
    SEMICONDUCTOR DEVICE AND SEMICONDUCTOR MEMORY DEVICE INCLUDING CAPACITOR 有权
    包括电容器的半导体器件和半导体存储器件

    公开(公告)号:US20130299890A1

    公开(公告)日:2013-11-14

    申请号:US13834492

    申请日:2013-03-15

    Abstract: A semiconductor device includes: a second transistor having a second conductive type formed on a first well region having a first conductive type; a first transistor having a first conductive type formed on a second well region having a second conductive type; a first well guard ring having the first conductive type, the first well guard ring including at least a first portion formed between the first transistor and the second transistor; a second well guard ring having the first conductive type, the second well guard ring including at least a first portion formed between the first transistor and the second transistor; and a first capacitor formed on at least one of the first well region and the second well region, and located between the first portion of the first well guard ring and the first portion of the second well guard ring.

    Abstract translation: 半导体器件包括:具有形成在具有第一导电类型的第一阱区上的第二导电类型的第二晶体管; 形成在具有第二导电类型的第二阱区上的具有第一导电类型的第一晶体管; 具有第一导电类型的第一保护环,所述第一阱保护环至少包括形成在所述第一晶体管和所述第二晶体管之间的第一部分; 具有第一导电类型的第二保护环,所述第二阱保护环至少包括形成在所述第一晶体管和所述第二晶体管之间的第一部分; 以及第一电容器,其形成在所述第一阱区域和所述第二阱区域中的至少一个上,并且位于所述第一阱保护环的所述第一部分和所述第二阱保护环的所述第一部分之间。

    METHOD FOR CORRECTING IMAGE BY DEVICE AND DEVICE THEREFOR

    公开(公告)号:US20230316470A1

    公开(公告)日:2023-10-05

    申请号:US17571639

    申请日:2022-01-10

    CPC classification number: G06T5/20 G06V10/82 H04N23/632

    Abstract: An example device for correcting an image includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor, by executing the one or more instructions, is further configured to obtain an image including a plurality of objects, identify the plurality of objects in the image based on a result of using one or more neural networks, determine a plurality of correction filters respectively corresponding to the plurality of identified objects, and correct the plurality of objects in the image, respectively, by using the plurality of determined correction filters.

    SEMICONDUCTOR MEMORY DEVICE INCLUDING POWER DECOUPLING CAPACITOR
    3.
    发明申请
    SEMICONDUCTOR MEMORY DEVICE INCLUDING POWER DECOUPLING CAPACITOR 有权
    包含功率分离电容器的半导体存储器件

    公开(公告)号:US20130242643A1

    公开(公告)日:2013-09-19

    申请号:US13792820

    申请日:2013-03-11

    Abstract: A semiconductor memory device includes a power decoupling capacitor (PDC) for preventing effective capacitance reduction during a high frequency operation. The semiconductor memory device includes the PDC to which a cell capacitor type decoupling capacitor is connected in series. The PDC includes a metal conductive layer electrically connected in parallel to a conductive layer formed on the same level as a bit line of a cell array region, wherein a plurality of decoupling capacitors in a first group and a plurality of decoupling capacitors in a second group are respectively connected to each other in parallel in a peripheral circuit region, and a storage electrode of the first group and a storage electrode of the second group are electrically connected to each other in series through the conductive layer.

    Abstract translation: 半导体存储器件包括用于在高频操作期间防止有效电容降低的功率去耦电容器(PDC)。 半导体存储器件包括串联连接有单元电容器型去耦电容器的PDC。 PDC包括与形成在与电池阵列区域的位线相同的电平上的导电层电连接的金属导电层,其中第一组中的多个去耦电容器和第二组中的多个去耦电容器 在外围电路区域中分别彼此并联连接,并且第一组的存储电极和第二组的存储电极通过导电层彼此串联电连接。

    APPARATUS AND METHOD OF PROVIDING THUMBNAIL IMAGE OF MOVING PICTURE
    5.
    发明申请
    APPARATUS AND METHOD OF PROVIDING THUMBNAIL IMAGE OF MOVING PICTURE 审中-公开
    提供移动图像的图像的装置和方法

    公开(公告)号:US20150356356A1

    公开(公告)日:2015-12-10

    申请号:US14679248

    申请日:2015-04-06

    CPC classification number: G06K9/00751 G06F17/3084 G11B27/34

    Abstract: An electronic apparatus is provided. The electronic apparatus includes a processing unit configured to extract at least one frame selected from a plurality of frames of moving-picture data as a candidate thumbnail image, wherein the at least one frame corresponds to at least one frame selected according to a plurality of thumbnail extraction criteria, and to determine at least one candidate thumbnail image selected from a group comprising candidate thumbnail images obtained by the extracting, as at least one final thumbnail image, based on a thumbnail extraction criterion to which the candidate thumbnail images obtained by the extracting respectively correspond, and a display unit configured to display the at least one final thumbnail image.

    Abstract translation: 提供电子设备。 该电子设备包括:处理单元,被配置为从作为候选缩略图的多个运动图像数据帧中提取至少一个帧,其中至少一个帧对应于根据多个缩略图选择的至少一个帧 提取标准,并且基于通过分别提取获得的候选缩略图图像的缩略图提取标准来确定从包括通过提取作为至少一个最终缩略图图像的提取中获得的候选缩略图图像的组中选择的至少一个候选缩略图图像 对应,以及被配置为显示所述至少一个最终缩略图图像的显示单元。

    METHOD FOR CORRECTING IMAGE BY DEVICE AND DEVICE THEREFOR

    公开(公告)号:US20240394837A1

    公开(公告)日:2024-11-28

    申请号:US18792144

    申请日:2024-08-01

    Abstract: An example device for correcting an image includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor, by executing the one or more instructions, is further configured to obtain an image including a plurality of objects, identify the plurality of objects in the image based on a result of using one or more neural networks, determine a plurality of correction filters respectively corresponding to the plurality of identified objects, and correct the plurality of objects in the image, respectively, by using the plurality of determined correction filters.

    METHOD FOR CORRECTING IMAGE BY DEVICE AND DEVICE THEREFOR

    公开(公告)号:US20190279345A1

    公开(公告)日:2019-09-12

    申请号:US16347330

    申请日:2017-11-08

    Abstract: Provided is a device for correcting an image including a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, wherein the processor, by executing the one or more instructions, is further configured to obtain an image including a plurality of objects, identify the plurality of objects in the image based on a result of using one or more neural networks, determine a plurality of correction filters respectively corresponding to the plurality of identified objects, and correct the plurality of objects in the image, respectively, by using the plurality of determined correction filters.The device may identify a plurality of objects and use a rule-based or artificial intelligence (AI) algorithm when determining a plurality of correction filters respectively corresponding to the plurality of identified objects. When identifying the plurality of objects using the AI algorithm and determining the plurality of correction filters respectively corresponding to the plurality of identified objects, the device may use machine learning, a neural network, or a deep learning algorithm.

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