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Patent Agency Ranking
公开(公告)号：US20200097850A1
公开(公告)日：2020-03-26
申请号：US16564400
申请日：2019-09-09
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , KOREA ATOMIC ENERGY RESEARCH INSTITUTE
Inventor： Ji Hoon BAE , Gwan Joong KIM , Soon Sung MOON , Jin Ho PARK , Bong Su YANG , Do Yeob YEO , Se Won OH , Doo Byung YOON , Jeong Han LEE , Seong Ik CHO , Nae Soo KIM , Cheol Sig PYO
IPC: G06N20/00
Abstract: An apparatus/method for extracting multiple features from time series data collected from a plurality of sensors and for performing transfer learning on them. There is provided an apparatus including: a multi-feature extraction unit for extracting multiple features from a data stream for each sensor inputted from the plurality of sensors; a transfer-learning model generation unit for extracting useful multi-feature information from a learning model which has finished pre-learning, for the multiple features for forwarding the extracted multi-feature information to a multi-feature learning unit to generate a learning model that performs transfer learning on the multiple features; and the multi-feature learning unit for receiving learning variables from the learning model for each of the multiple features and for performing parallel learning for the multiple features, to calculate and output a loss. In addition, there is provided an apparatus for detecting leaks in plant pipelines.
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公开(公告)号：US20240330028A1
公开(公告)日：2024-10-03
申请号：US18619430
申请日：2024-03-28
Inventor： Won Kyu CHOI , Se Han KIM , Hyeon PARK , Jae Young JUNG , Sung Soo KWON , Su Jin PARK , Ji Hoon BAE , Yu Jin HAN
IPC: G06F9/455
CPC classification number: G06F9/455
Abstract: Provided is a virtual sensor system for a digital twin application. The virtual sensor system includes an edge gateway configured to collect data collected from physical sensors in the real world, apply the collected data to a virtual sensor model, and operate virtual sensors for configuring a digital twin world, and a virtual sensor framework configured to train the virtual sensor model using data, which is measured by the physical sensors, from the edge gateway and distribute the virtual sensor model to the edge gateway.
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3.发明申请公开(公告)号：US20180144250A1
公开(公告)日：2018-05-24
申请号：US15692070
申请日：2017-08-31
Inventor： Soon Hyun KWON , Eun Joo KIM , Hong Kyu PARK , Hyun Joong KANG , Kwi Hoon KIM , Young Min KIM , Hyun Jae KIM , Ji Hoon BAE , Se Won OH , Jae Hak YU , Yeon Hee LEE , Ho Sung LEE , Nae Soo KIM , Sun Jin KIM , Cheol Sig PYO
Abstract: Provided are a data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge. The data processing apparatus and method may efficiently process various real-time and large-scale data to convert the data into knowledge by merging and processing non-deterministic knowledge and also deterministic knowledge perceived by an expert. Thus, it is possible to adaptively operate in accordance with a dynamically changing application service environment by converting a conversion rule for converting collected data generated from an application service system into semantic data, a context awareness rule for perceiving context information from given information, and a user query for searching for knowledge information into knowledge and gradually augmenting the knowledge information in accordance with an application service environment.
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公开(公告)号：US20180293723A1
公开(公告)日：2018-10-11
申请号：US15950408
申请日：2018-04-11
Applicant: Electronics and Telecommunications Research Institute , KOREA ATOMIC ENERGY RESEARCH INSTITUTE
Inventor： Ji Hoon BAE , Gwan Joong Kim , Se Won Oh , Doo Byung Yoon , Wan Seon Lim , Kwi Hoon Kim , Nae Soo Kim , Sun Jin Kim , Cheol Sig Pyo
CPC classification number: G06T7/0004 , G06K9/6231 , G06K9/6245 , G06K9/6262 , G06K9/629 , G06N3/126 , G06N20/00 , G06T2200/04 , G06T2207/20081 , G06T2207/20084 , G06T2207/30136
Abstract: Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.
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5.发明申请公开(公告)号：US20140111310A1
公开(公告)日：2014-04-24
申请号：US14057797
申请日：2013-10-18
Inventor： Ji Hoon BAE , Kwang Soo CHO , Man Sik PARK , Won Kyu CHOI , Hoe Sung YANG , Chan-Won PARK , Jong-Suk CHAE , Cheol Sig PYO
IPC: G06K7/10
CPC classification number: G06K7/10198 , G06K7/10138 , G06K7/10297 , G06K19/0723 , H04B5/0062
Abstract: A tag of an apparatus for simultaneously identifying massive tags according to the present invention may include an analog circuit unit to communicate with a reader through an analog signal and to receive energy via magnetic coupling with the reader. Further, the tag may include a digital circuit unit to be supplied with power from the analog circuit unit. The digital circuit unit may support a sleep mode for the tag to stand by in a low power state after transmitting an identifier (ID) to the reader and a wait mode for controlling random access to the reader.
Abstract translation: 根据本发明的用于同时识别大量标签的装置的标签可以包括模拟电路单元，其通过模拟信号与读取器进行通信，并且通过与读取器的磁耦合来接收能量。 此外，标签可以包括从模拟电路单元提供电力的数字电路单元。 数字电路单元可以在向读取器发送标识符（ID）和用于控制对读取器的随机访问的等待模式之后支持用于标签的睡眠模式以处于低功率状态。
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