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1.发明授权公开(公告)号：US11070488B2
公开(公告)日：2021-07-20
申请号：US16234513
申请日：2018-12-27
Inventor： Tae Wan You , Yeon Hee Lee , Cheol Sig Pyo , Yong Geun Hong , Min Suk Kim , Woong Shik You , Seong Ik Cho , Hyun Joong Kang , Kwi Hoon Kim , Hyun Jae Kim , Ho Sung Lee , Jung Ha Hong
IPC: H04L12/915 , H04W76/10 , G06F9/50 , H04L12/24 , H04L12/911 , H04L12/935 , H04L29/08 , H04W12/08 , H04W12/69
Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.
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2.发明申请METHOD AND APPARATUS FOR DETERMINING BASE PCR IN MULTIPLE IMAGES FOR BROADCASTING SERVICE BASED ON MULTIPLE IMAGES 审中-公开用于确定基于多个图像的广播服务的多个图像中的基因PCR的方法和装置公开(公告)号：US20140223506A1
公开(公告)日：2014-08-07
申请号：US14088427
申请日：2013-11-24
Inventor： Sang Woo Ahn , Kwi Hoon Kim , Jae Hwui Bae
IPC: H04N21/43
CPC classification number: H04N21/4307 , H04N13/167 , H04N13/194 , H04N21/4305 , H04N21/4345 , H04N21/4622 , H04N21/631 , H04N21/816
Abstract: There is disclosed a method of synchronizing a first image and a second image forming multiple images in broadcasting service based on the multiple images. The method includes receiving a stream regarding the first stream and a stream regarding the second stream through a plurality of channels, obtaining the first image and the second image by decoding the stream regarding the first stream and the stream regarding the second stream and obtaining a base Program Clock Reference (PCR) descriptor in at least one of the stream regarding the first stream and the stream regarding the second stream, selecting a base stream based on the base PCR descriptor and determining a base PCR based on the base PCR descriptor, and synchronizing the first image and the second image based on the base PCR.
Abstract translation: 公开了一种基于多个图像同步在广播服务中形成多个图像的第一图像和第二图像的方法。 该方法包括通过多个通道接收关于第一流的流和关于第二流的流，通过解码关于第一流的流和关于第二流的流来获得第一图像和第二图像，并获得基 在关于第一流和关于第二流的流的至少一个流中的程序时钟参考（PCR）描述符，基于基本PCR描述符选择基本流，并基于基本PCR描述符确定基本PCR，并同步 基于PCR的第一图像和第二图像。
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公开(公告)号：US10565699B2
公开(公告)日：2020-02-18
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
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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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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公开(公告)号：US10003444B2
公开(公告)日：2018-06-19
申请号：US15089361
申请日：2016-04-01
Inventor： Kwi Hoon Kim , Young Boo Kim , Hyun Jae Kim , Jin Tae Oh , Woong Shik You , Sungwon Yi
IPC: H04W4/00 , H04L5/00 , H04B7/0413
CPC classification number: H04L5/005 , H04B7/0413 , H04L5/0048 , H04L5/0064
Abstract: Provided herein is a communication method using MIMO (Multiple-Input Multiple-Output) technology for communicating with a terminal included in each of a plurality of base station cells using a communication apparatus, the method including calculating, by the communication apparatus, the number of terminals included inside a base station cell; generating, by the communication apparatus, pilot signals corresponding to the calculated number of terminals; and allocating, by the communication apparatus, the pilot signals to a terminal that may maximize a network capacity based on the generated pilot signals.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20200007409A1
公开(公告)日：2020-01-02
申请号：US16456518
申请日：2019-06-28
Inventor： Kwi Hoon Kim , Wan Seon Lim , Yong Geun Hong
Abstract: An intelligent Internet of everything (IoE) edge computing system for a high reliable Internet of thins (IoT) service is provided. The intelligent IoE edge computing system for high reliable IoT services according to the present invention provides a modularized intelligent IoT framework for various applications and has a technical feature in that intelligent traffic analysis and prediction is performed.
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公开(公告)号：US09460351B2
公开(公告)日：2016-10-04
申请号：US14035803
申请日：2013-09-24
Inventor： Kwi Hoon Kim , Woong Shik You , Jae Hwui Bae , Sang Woo Ahn , O Hyung Kwon
IPC: H04N13/04 , G06K9/00 , G06F3/01 , G01S17/02 , H04N7/14 , G01B11/02 , H04N7/18 , G08B13/196 , H04N7/15 , G06F3/14 , H04N21/218 , H04N21/2187 , H04N21/431 , H04N21/2743
CPC classification number: G06K9/00771 , G01B11/022 , G01S17/023 , G06F3/013 , G06F3/017 , G06F3/14 , G06F3/1454 , G06K9/00335 , G08B13/19621 , H04N7/144 , H04N7/147 , H04N7/15 , H04N7/181 , H04N21/21805 , H04N21/2187 , H04N21/2743 , H04N21/4316 , H04N2007/145
Abstract: An image processing apparatus using a smart glass is provided, the image processing apparatus including an extractor to extract a first target to be observed by a user from a first image received from the smart glass and generate a second image using the extracted first target, an information collector to collect information related to the first target, and an image generator to reconstruct a third image using at least one of the second image and the information related to the first target, based on user settings.
Abstract translation: 提供了一种使用智能玻璃的图像处理装置，所述图像处理装置包括提取器，用于从由所述智能玻璃接收的第一图像提取用户观察到的第一目标，并使用所提取的第一目标生成第二图像; 信息收集器，用于收集与第一目标相关的信息;以及图像生成器，用于基于用户设置，使用第二图像和与第一目标相关的信息中的至少一个来重建第三图像。
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公开(公告)号：US11144833B2
公开(公告)日：2021-10-12
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
IPC: G06F11/36 , G06F16/25 , G06F16/24 , G06N5/00 , G06F8/10 , G06F16/28 , G06N5/04 , G06F8/36 , G06Q10/06
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：US20180189679A1
公开(公告)日：2018-07-05
申请号：US15859937
申请日：2018-01-02
Inventor： Hyun Joong KANG , Hyun Jae Kim , Ho Sung Lee , Soon Hyun Kwon , Kwi Hoon Kim , Young Min Kim , Eun Joo Kim , Hong Kyu Park , Ji Hoon Bae , Se Won Oh , Jae Hak Yu , Yeon Hee Lee , Nae Soo Kim , Sun Jin Kim , Seong Ik Cho , Cheol Sig Pyo
Abstract: Provided are a self-learning system and method for automatically performing machine learning (ML). The self-learning system includes a memory configured to store an ML knowledge database (DB) in which ML knowledge is stored and a program for automatically performing ML based on request information of a user, and a processor configured to execute the program stored in the memory. Here, when executing the program, the processor creates or recommends at least one workflow corresponding to the request information of the user based on the ML knowledge stored in the ML knowledge DB and generates an execution code for performing the created or recommended workflow.
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公开(公告)号：US20180189655A1
公开(公告)日：2018-07-05
申请号：US15854387
申请日：2017-12-26
Inventor： Se Won OH , Yeon Hee Lee , Ji Hoon Bae , Hyun Joong Kang , Soon Hyun Kwon , Kwi Hoon Kim , Young Min Kim , Eun Joo Kim , Hyun Jae Kim , Hong Kyu Park , Jae Hak Yu , Ho Sung Lee , Seong Ik Cho , Nae Soo Kim , Sun Jin Kim , Cheol Sig Pyo
Abstract: Provided is a data meta-scaling method. The data meta-scaling method optimizes an abbreviation criterion for abbreviating data through continuous knowledge augmentation in various dimensions which enable expression of data in a process of performing machine learning.
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