ZINC-BROMINE FLOW BATTERY INCLUDING CONDUCTIVE INTERLAYER

    公开(公告)号:US20220407102A1

    公开(公告)日:2022-12-22

    申请号:US17821882

    申请日:2022-08-24

    Abstract: A zinc-bromine flow battery is proposed. The battery may include a conductive interlayer that can reduce the amount of inactive zinc in the form of dendrites on a negative electrode, thereby improving the zinc desorption process and improving the capacity and lifespan characteristics of the battery. The battery may include a membrane, a first electrode stacked on one side of the membrane, and a second electrode stacked on other side of the membrane. The battery may also include a conductive interlayer interposed between a negative electrode from among the first and second electrodes and the membrane and having a log value of hydrogen generation exchange current density of −4 or less in an acid-based electrolyte.

    IMAGE SEGMENTATION METHOD AND SYSTEM USING GAN ARCHITECTURE

    公开(公告)号:US20220383104A1

    公开(公告)日:2022-12-01

    申请号:US17512463

    申请日:2021-10-27

    Abstract: There are provided a method and a system for image segmentation utilizing a GAN architecture. A method for training an image segmentation network according to an embodiment includes: inputting an image to a first network which is trained to output a region segmentation result regarding an input image, and generating a region segmentation result; and inputting the region segmentation result generated at the generation step and a ground truth (GT) to a second network, and acquiring a discrimination result, the second network being trained to discriminate inputted region segmentation results as a result generated by the first network and a GT, respectively; and training the first network and the second network by using the discrimination result. Accordingly, region segmentation performance of a semantic segmentation network regarding various images can be enhanced, and a very small image region can be exactly segmented.

    SYSTEM AND METHOD FOR PREDICTING USER OCCUPANCY TIME IN CITY BUILDING BASED ON BIG DATA FOR AUTO CONTROL OF HEATING OR COOLING FOR ENERGY SAVING

    公开(公告)号:US20220373207A1

    公开(公告)日:2022-11-24

    申请号:US17622480

    申请日:2021-05-07

    Abstract: Provided are a system and a method for predicting an occupancy time of a user in a city building based on big data for auto control of heating or cooling for energy saving. The user occupancy time prediction system according to an embodiment includes: a sensor configured to collect data regarding whether a user occupies a predetermined space in a building; a database configured to store the collected data; a data pre-processing unit configured to process the stored data into a format suitable for machine learning; and a prediction unit configured to input the processed data into a machine learning model, and to predict an expected unoccupancy time of the user regarding the predetermined space in the building. Accordingly, a user occupancy/unoccupancy time may be predicted by analyzing big data which uses previous occupancy data of a user in a city building, and energy may be saved by adjusting a temperature of a heating or cooling device before the unoccupancy time. In addition, when the temperature of the heating or cooling device is adjusted before unoccupancy is predicted, the temperature is only changed to the extent that the user does not recognize inconvenience, and comfortability may be maintained or improved.

    PLAY EXPERIENCE SYSTEM
    214.
    发明申请

    公开(公告)号:US20220369955A1

    公开(公告)日:2022-11-24

    申请号:US17772692

    申请日:2019-11-11

    Abstract: A play experience system disclosed in the present invention comprises an experience device including a plurality of experience rooms and a plurality of experience instruments provided in each of the plurality of experience rooms for the user to experience the play-type; a sensor device comprising at least one or more sensors being disposed in a predetermined area of each of the plurality of experience instruments; and a processing device configured to receive body composition information and heart rate information of the user and comprehensive measurement information on physical development items of the user from the at least one or more sensors, and to obtain result information on a current level of the physical development items of the user by comparing the received comprehensive measurement information on the physical development items with pre-stored standard information on the physical development items.

    Neuromorphic memory management system and method thereof

    公开(公告)号:US11449738B2

    公开(公告)日:2022-09-20

    申请号:US16537293

    申请日:2019-08-09

    Abstract: Provided are a system and method for managing a neuromorphic memory. The system includes a memory having a multi-dimensional lattice structure, a prescience estimator (PSE) configured to separately estimate memory use of two or more data sets and determine a sequence of inputting the two or more data sets to the memory, and a prescience manager (PSM) configured to allocate memory regions in which the two or more data sets will be stored according to estimation results of the PSE, store the data sets, and perform learning and inference.

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