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:
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.
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:
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:
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:
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.
Abstract:
Embodiments herein provide a wireless communication system for managing a network slice congestion. The wireless communication system includes a User Equipment (UE), operably coupled to a core network. The UE is configured to transmit a first NAS signaling message to the core network, wherein the first NAS signaling message comprises a specific network slide identity. The core network i configured to detect the network slice congestion in the wireless communication system. Further, the core network is configured to indicate the network slice congestion using a second NAS signaling message to the User Equipment (UE), wherein the second NAS signaling message comprising a reject cause value and a back off timer for the requested network slice identity.
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.
Abstract:
Embodiments herein provide a wireless communication system for managing a network slice congestion. The wireless communication system includes a User Equipment (UE), operably coupled to a core network. The UE is configured to transmit a first NAS signaling message to the core network, wherein the first NAS signaling message comprises a specific network slide identity. The core network i configured to detect the network slice congestion in the wireless communication system. Further, the core network is configured to indicate the network slice congestion using a second NAS signaling message to the User Equipment (UE), wherein the second NAS signaling message comprising a reject cause value and a back off timer for the requested network slice identity.
Abstract:
Provided are an imaging device and a video generation method by the imaging device, and more specifically, an imaging device, which enlarges an object selected in a video displayed on a screen and displays same, and a video generation method by the imaging device. According to an example embodiment, an object selected in a video displayed on a screen is enlarged, and the enlarged object is tracked and then displayed on the screen.