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公开(公告)号：US20140013339A1
公开(公告)日：2014-01-09
申请号：US13937741
申请日：2013-07-09
Inventor： Byung Bog LEE , Jae Hak Yu , Nae-soo Kim , Cheol Sig Pyo
IPC: G06F9/54
CPC classification number: H04L67/12 , G06F9/54 , H04L67/2861
Abstract: A virtual sensor generation apparatus of a sensor network sets a communication connection to a sensor node at a periphery of a smart device, generates a logical sensor corresponding to a physical sensor that is connected to the sensor node, generates a virtual sensor with the logical sensor, and provides an application service to a user using the virtual sensor.
Abstract translation: 传感器网络的虚拟传感器生成装置设置与智能设备周边的传感器节点的通信连接，生成与连接到传感器节点的物理传感器对应的逻辑传感器，生成具有逻辑传感器的虚拟传感器 并且使用虚拟传感器向用户提供应用服务。
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2.发明授权公开(公告)号：US09225781B2
公开(公告)日：2015-12-29
申请号：US13937741
申请日：2013-07-09
Inventor： Byung Bog Lee , Jae Hak Yu , Nae-soo Kim , Cheol Sig Pyo
CPC classification number: H04L67/12 , G06F9/54 , H04L67/2861
Abstract: A virtual sensor generation apparatus of a sensor network sets a communication connection to a sensor node at a periphery of a smart device, generates a logical sensor corresponding to a physical sensor that is connected to the sensor node, generates a virtual sensor with the logical sensor, and provides an application service to a user using the virtual sensor.
Abstract translation: 传感器网络的虚拟传感器生成装置设置与智能设备周边的传感器节点的通信连接，生成与连接到传感器节点的物理传感器对应的逻辑传感器，生成具有逻辑传感器的虚拟传感器 并且使用虚拟传感器向用户提供应用服务。
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Patent Agency Ranking
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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4.发明授权公开(公告)号：US10783440B2
公开(公告)日：2020-09-22
申请号：US15592342
申请日：2017-05-11
Inventor： Yoon Mee Doh , Jae Hak Yu , Kye Seon Lee
IPC: G06N5/02
Abstract: Methods and systems for analyzing data. The data analysis method includes generating a case data set corresponding to the data analysis request; collecting and storing raw data corresponding to the case data set; generating a knowledge package based on the raw data; generating a knowledge package library based on the knowledge package; and providing the user with the knowledge package library. Also, the case data set includes first selection parameters, and the knowledge package library includes second selection parameters different from the first selection parameters. According to the embodiments of the present disclosure, a deep understanding of business and ecosystem which is previously obtained from big data analysis and insights about data group selection, modeling, and analysis method can be provided, such that a big data analysis can be performed with enhanced efficiency.
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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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7.发明授权Apparatus and method for detecting traffic flooding attack and conducting in-depth analysis using data mining 有权用于检测流量泛滥攻击的装置和方法，并使用数据挖掘进行深入分析公开(公告)号：US09230102B2
公开(公告)日：2016-01-05
申请号：US13869151
申请日：2013-04-24
Inventor： Jae Hak Yu , Byung Bog Lee , Hyo Chan Bang
CPC classification number: G06F21/55 , H04L63/1408 , H04L63/1458
Abstract: Provided is an apparatus and method for detecting a traffic flooding attack and conducting an in-depth analysis using data mining that may rapidly detect a distributed denial of service (DDoS) attack, for example, a traffic flooding attack, developed more variously and firmly from a denial of service (DoS) attack, perform an attack type classification, and conduct a semantic analysis with respect to the attack. The apparatus and method may support a system operation and provide a more stable service, by rapidly detecting a traffic flooding attack, classifying a type of the attack, and conducting a semantic analysis based on a prediction and analysis scheme of data mining.
Abstract translation: 提供了一种用于检测流量泛滥攻击的装置和方法，并且使用可以快速检测分布式拒绝服务（DDoS）攻击的数据挖掘进行深入分析，例如，流量洪泛攻击，其更加不同于和 拒绝服务（DoS）攻击，执行攻击类型分类，并对攻击进行语义分析。 该装置和方法可以通过快速检测流量泛滥攻击，对攻击类型进行分类，并且基于数据挖掘的预测和分析方案进行语义分析，来支持系统操作并提供更稳定的服务。
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