METHOD AND APPARATUS FOR COMPRESSING FASTQ DATA THROUGH CHARACTER FREQUENCY-BASED SEQUENCE REORDERING

    公开(公告)号:US20220199202A1

    公开(公告)日:2022-06-23

    申请号:US17536046

    申请日:2021-11-28

    Abstract: A method and apparatus for decompressing FASTQ data through character frequency-based sequence reordering implemented by a computer apparatus, the method including separating genome sequencing data into components of an identifier, a nucleotide sequence read, and prediction quality information; measuring character frequency for the entire data of each of the nucleotide sequence read and the prediction quality information; producing a score by applying the measured character frequency for the nucleotide sequence read and the prediction quality information; reordering the nucleotide sequence read and the prediction quality information based on a condition that is preset based on the score; and compressing at least one of information of the identifier, an identifier of the nucleotide sequence read, and an identifier of the prediction quality information through a compression program by including the reordered nucleotide sequence read and the reordered prediction quality information and generating compressed genome sequencing data.

    METHOD AND SYSTEM FOR TRAINING IMAGE CLASSIFICATION MODEL

    公开(公告)号:US20220147771A1

    公开(公告)日:2022-05-12

    申请号:US17191715

    申请日:2021-03-04

    Abstract: A method and system for training an image classification model is disclosed. An aspect is to separate training processes of a feature value extraction model and an image classification model and train the feature value extraction model on a representative feature value suitable for image classification into a specific label value (e.g., “Peak”), thereby improving accuracy and performance of a classification model for a ground-penetrating radar (GPR) image that is captured by a GPR and is not easy for feature value extraction.

    COLOR-CHANGEABLE PLASTIC
    85.
    发明申请

    公开(公告)号:US20220137473A1

    公开(公告)日:2022-05-05

    申请号:US17341922

    申请日:2021-06-08

    Abstract: A form of a color-changeable plastic includes: a first conductive electrode layer; a color change layer disposed on the first conductive electrode layer, configured to cover a top surface of the first conductive electrode layer, and made of a substance that changes color depending on whether a voltage is applied; a second conductive electrode layer disposed on the color change laver, configured to cover a top surface and side surfaces of the color change layer, and configured to change the color of the color change layer with the first conductive electrode layer when the voltage is applied; and a conductive guide disposed at at least one of the first conductive electrode layer or the second conductive electrode layer, and configured to guide a movement of electrons and a color change direction of the color change layer when the voltage is applied.

    Composite pin fin heat sink with improved heat dissipation performance

    公开(公告)号:US11252842B2

    公开(公告)日:2022-02-15

    申请号:US17069014

    申请日:2020-10-13

    Abstract: A composite pin fin heat sink configured to dissipate heat generated by a heating element including a background region and a hot spot region having a higher temperature than the background region while the heating element is generating heat, the heat sink including a base plate having a first surface and a second surface, the first surface being configured to contact the heating element; and an array of pin fins protruding from the second surface and arranged at regular intervals. The base plate and the array of pin fins are divided into a first heat sink region corresponding to the hot spot region of the heating element, and a second heat sink region corresponding to the background region of the heating element. The first heat sink region is made of a material having a higher thermal conductivity than a material of which the second heat sink region is made.

    Deep learning-based object recognition system and method using PIR sensor

    公开(公告)号:US11042768B1

    公开(公告)日:2021-06-22

    申请号:US17082225

    申请日:2020-10-28

    Abstract: Disclosed is a deep learning-based object recognition system which includes a data collection process executor configured to perform a data collection process of collecting values of the PIR sensor according to a sampling period; a data classification process executor configured to perform a data classification process of inputting the collected values of the PIR sensor to a model of an artificial neural network and transmitting a result of the inputting the collected values to a cloud using a RESTful API; and an object recognition cloud system configured to store information received from the data classification process executor in a database, transmit the information when a web application requests the information, and represent information collected and classified by devices using the RESTful API.

    REAL-TIME PREDICTION PROGRAM FOR CHANGE IN OCCUPANTS IN LARGE EXHIBITION HALL BASED ON DEEP LEARNING

    公开(公告)号:US20210174166A1

    公开(公告)日:2021-06-10

    申请号:US17092782

    申请日:2020-11-09

    Abstract: Disclosed are a method and apparatus for predicting a change in the occupants within a large exhibition hall in real time based on deep learning. A proposed method of predicting a change in the number of occupants within a space in real time includes dividing, into zones, a space where a number of occupants is to be predicted and pre-processing data related to a number of occupants within the space collected through simulations, generating the pre-processed data in a form of time-series data for deep learning, training a deep learning model for predicting a number of occupants in each divided zone using the generated time-series data, and predicting the number of occupants within the space by inputting, to the trained model, the data related to a number of occupants within the space collected in real time through socket communication with a server.

Patent Agency Ranking