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41.发明公开지능형 로봇의 자가 치유 방법, 지능형 로봇의 자가 치유 방법이 기록된 기록 매체 및 지능형 로봇의 자가 치유 시스템 无效用于智能机器人自动化的方法，用于智能机器人的自我治疗方法和用于智能机器人的自我治疗系统的自动化处理中的方法
公开(公告)号：KR1020100135063A
公开(公告)日：2010-12-24
申请号：KR1020090053513
申请日：2009-06-16
Applicant: 성균관대학교산학협력단
Abstract: PURPOSE: A self-healing method of an intelligent robot, a recording media in which the self-healing method is recorded, and a self-healing system of an intelligent robot are provided to sense defined errors through monitoring and to correct the errors by itself based on a designed healing strategy. CONSTITUTION: A self-healing method of an intelligent robot is as follows. Errors which are likely to be generated are defined as an intelligent robot. A healing strategy about defined possible error is designed. The intelligent robot detects errors based on the defined possible errors and cures the error detected based on the designed healing strategy.
Abstract translation: 目的：提供智能机器人的自愈方法，记录自愈方法的记录介质和智能机器人的自我修复系统，以通过监控来感测定义的错误并自行纠正错误 基于设计的治疗策略。 构成：智能机器人的自愈方法如下。 可能产生的错误被定义为智能机器人。 设计了关于定义的可能错误的愈合策略。 智能机器人根据定义的可能的错误检测错误，并根据设计的治疗策略治愈检测到的错误。
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公开(公告)号：KR1020100097472A
公开(公告)日：2010-09-03
申请号：KR1020090016423
申请日：2009-02-26
Applicant: 성균관대학교산학협력단
CPC classification number: G06F11/3696 , G06F8/71 , G06F9/06 , G06F9/542 , G06F11/3688
Abstract: PURPOSE: A method and an apparatus for analyzing reliability of software by using a software model are provided to quantitatively analyze and verify the reliability of a software in a design step by using a software model of an HQPN type. CONSTITUTION: An HQPN(Hierarchically Combined Queuing Petri Net)/MRM(Markov Reward Model) converter(200) converts a first software model of an HQPN type into a second software model of an MRM type. A reliability extracting unit(600) extracts quantitative reliability by using a second software model. A reliability extracting unit(120) outputs the reliability extracted by the reliability extracting unit.
Abstract translation: 目的：提供一种使用软件模型分析软件可靠性的方法和装置，通过使用HQPN类型的软件模型，在设计步骤中对软件的可靠性进行定量分析和验证。 构成：HQPN（分层组合排队Petri网）/ MRM（Markov Reward Model）转换器（200）将HQPN类型的第一软件模型转换为MRM类型的第二软件模型。 可靠性提取单元（600）通过使用第二软件模型提取定量可靠性。 可靠性提取单元（120）输出由可靠性提取单元提取的可靠性。
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公开(公告)号：KR1020100095225A
公开(公告)日：2010-08-30
申请号：KR1020090014403
申请日：2009-02-20
Applicant: 성균관대학교산학협력단
CPC classification number: H04W4/12 , H04M1/72547 , H04M1/72583
Abstract: PURPOSE: A method for visualizing a text message and a device using the same are provided to enable a receiver to show a state of a caller while reading a text. CONSTITUTION: A state information module predicts the state information. A communication module(150) combines a text inputted through an input module with the state information predicted by the state information module. The communication module transmits the combined information using a message service. A visualization module(130) extracts state information from a message service received from the outside. The visualization module visualizes and displays the state information.
Abstract translation: 目的：提供一种用于可视化文本消息的方法和使用该消息的设备的方法，以使接收器在读取文本时显示呼叫者的状态。 构成：状态信息模块预测状态信息。 通信模块（150）将通过输入模块输入的文本与由状态信息模块预测的状态信息组合。 通信模块使用消息服务发送组合信息。 可视化模块（130）从从外部接收的消息服务中提取状态信息。 可视化模块可视化并显示状态信息。
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Patent Agency Ranking
公开(公告)号：KR1020100067913A
公开(公告)日：2010-06-22
申请号：KR1020080126511
申请日：2008-12-12
Applicant: 성균관대학교산학협력단
Abstract: PURPOSE: A method for curing faults in a sensor network and the sensor network performing the same are provided to rapidly implement adaption, and to reduce a weight of a self-cure architecture by designing the architecture of an administrator node, a sensor node, a sink node in USN environment. CONSTITUTION: A sensor node(100) includes a failure model and a strategy corresponding to defaults according to properties of faults produced in a sensor network. When the default occurs, the sensor nodes determine possibility of the self-treatment based on the failure model. The sensor node reports the faults to a sync node(200). If the faults can be cured, the sync node produces a cure code or a strategy.
Abstract translation: 目的：提供一种固化传感器网络故障的方法和执行传感器网络的传感器网络，以快速实现自适应，并通过设计管理员节点的体系结构，传感器节点， USN环境中的汇聚节点。 构成：传感器节点（100）根据传感器网络中产生的故障属性，包括故障模型和对应于默认值的策略。 当发生缺省时，传感器节点根据故障模型确定自我处理的可能性。 传感器节点将故障报告给同步节点（200）。 如果可以修复故障，则同步节点产生治愈代码或策略。
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公开(公告)号：KR100946763B1
公开(公告)日：2010-03-11
申请号：KR1020080071783
申请日：2008-07-23
Applicant: 성균관대학교산학협력단
Abstract: 코드 생성 방법 및 장치가 개시된다. 본 발명의 일 실시예에 따르면, 코드 생성 장치가 컴퓨터 시스템의 일부분으로 동작되는 모듈의 코드를 생성하는 방법에 있어서, 개발하고자 하는 모듈에 대한 각 레벨(level)을 인식하기 위해 계층적으로 그래프 정보를 입력받는 단계; 상기 그래프 정보를 파싱하여 각 레벨별 구성 정보를 추출하는 단계-상기 레벨별 구성 정보는 동작되는 동작 레벨에 대한 정보, 상기 동작 레벨에서 동작될 복수의 컴포넌트에 대한 정보 및 상기 컴포넌트가 동작될 계층에 대한 정보를 포함함; 및 입력받은 대체 컴포넌트 정보와 코드 구조 정보 및 상기 레벨별 구성 정보를 이용하여 각 레벨에 따라 복수의 계층에서 복수의 컴포넌트가 활성화되도록 템플릿 코드를 생성하는 단계를 포함하는 코드 생성 방법이 제공될 수 있다. 스위치 개념을 이용하여 자가 적응 모듈에서 각 단계별 컴포넌트를 활성화/비활성화하여 시스템의 리소스 사용량을 줄일 수 있다.
코드, code, 생성-
公开(公告)号：KR1020090006464A
公开(公告)日：2009-01-15
申请号：KR1020070069829
申请日：2007-07-11
Applicant: 성균관대학교산학협력단
IPC: G06F17/30
CPC classification number: G06F17/30702 , G06F17/30029 , G06F17/30038 , G06F17/3053
Abstract: A device and a method for offering customized contents by using tag information, and a recording medium thereof are provided to realize a customized service in each web server without stored user information by reflecting user pattern information collected in a user terminal to provision of the customized information. A query receiver(210) receives and stores a search query inputted by a user. A contents searcher(220) searches a contents set related to the search query of user. A user pattern information requestor(230) requests user pattern information including a user profile and tag information to the user terminal through the network. A user pattern information collector(240) receives the user pattern information from the user terminal. A contents ranking determiner(250) determines ranking of the contents set based on relation to the user pattern information. A contents provider(260) provides the ranked contents set to the user terminal. A user profile generator(280) generates the user profile including an interested word of the user and a score, which is set by assigning weight to the interested word.
Abstract translation: 提供一种通过使用标签信息提供定制内容的装置和方法及其记录介质，以通过反映在用户终端中收集的用户模式信息来提供定制信息来实现每个web服务器中的定制服务而不存储用户信息 。 查询接收器（210）接收并存储由用户输入的搜索查询。 内容搜索器（220）搜索与用户的搜索查询相关的内容集。 用户模式信息请求者（230）通过网络向用户终端请求包括用户简档和标签信息的用户模式信息。 用户模式信息收集器（240）从用户终端接收用户模式信息。 内容排序确定器（250）基于与用户模式信息的关系确定内容集的排名。 内容提供商（260）向用户终端提供设置的排名内容。 用户简档生成器（280）生成用户简档，其包括用户的感兴趣的单词和通过向感兴趣的单词分配权重而设定的分数。
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公开(公告)号：KR1020090003739A
公开(公告)日：2009-01-12
申请号：KR1020070066658
申请日：2007-07-03
Applicant: 성균관대학교산학협력단
CPC classification number: G06F17/30867
Abstract: A terminal for collecting user preference information according to tag information, a method thereof, and a recording medium are provided to analyze the preference of individual users precisely in a short time by extracting keywords from anchor tags and/or form tags. A tag search part(220) searches one or more tags from anchor tags, form tags and combination thereof included in web documents output from a terminal device. A tag information extracting part(230) extracts tag information from the searched tag. A keyword search part(250) searches a keyword from the tag information. A user preference information management part(260) collects user preference information including user profiles generated by the keyword.
Abstract translation: 提供根据标签信息收集用户偏好信息的终端，其方法和记录介质，以通过从锚标签和/或表单标签中提取关键词来在短时间内精确地分析各个用户的偏好。 标签搜索部分（220）从终端设备输出的web文档中搜索锚定标签，表单标签及其组合中的一个或多个标签。 标签信息提取部（230）从搜索到的标签中提取标签信息。 关键词搜索部分（250）从标签信息中搜索关键字。 用户偏好信息管理部分（260）收集包括由关键字生成的用户简档的用户偏好信息。
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公开(公告)号：KR1020080086296A
公开(公告)日：2008-09-25
申请号：KR1020070028307
申请日：2007-03-22
Applicant: 성균관대학교산학협력단
Abstract: A multi-agent based self-healing system and a method thereof are provided to allow a computing system to perform self-management and self-healing without deteriorating the performance thereof and select an optimized heating method for self-management or self-healing of the computing system. A multi-agent based self-healing system includes a monitoring agent(110), a diagnosis agent(130), a determination agent(140), and a heating agent(150). The monitoring agent monitors operating states of programs executed in a computing system and operating states of resources of the computing system. The diagnosis agent diagnoses an error generated in the computing system from the monitoring result. The determination agent determines a healing method corresponding to the diagnosed error. The healing agent heals the error according to the determined healing method.
Abstract translation: 提供了基于多代理的自愈系统及其方法，以允许计算系统执行自我管理和自我修复，而不会恶化其性能，并且选择用于自我管理或自我修复的优化加热方法 计算系统。 基于多代理的自愈系统包括监测剂（110），诊断试剂（130），测定剂（140）和加热剂（150）。 监视代理监视在计算系统中执行的程序的运行状态和计算系统的资源的运行状态。 诊断代理从监控结果诊断计算系统中产生的错误。 确定剂确定与诊断出的错误相对应的愈合方法。 愈合剂根据确定的愈合方法治愈误差。
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