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公开(公告)号:KR101878854B1
公开(公告)日:2018-07-16
申请号:KR1020170182677
申请日:2017-12-28
Applicant: 한국과학기술정보연구원
CPC classification number: G01N33/0075 , B60Q1/2611 , B60R16/03 , G01N33/0037 , G01N33/0039 , G01N33/004 , G01N33/0042 , G01N33/0047 , G01N33/0062
Abstract: 이동식환경요소측정장치가개시된다. 본발명에따른이동식환경요소측정장치는, 도로를이동하는대중교통수단의외부식별을위해설치되는갓등; 상기갓등의내부공간으로대기가유출입되도록, 상기갓등의전방및 후방에각각관통형성된공기유입공및 공기배출공을포함하는공기순환부; 상기내부공간에탑재된회로기판과, 이에탈착가능하게실장되어상기공기유입공으로유입된대기와관련된환경요소를측정하는측정센서를포함하는센싱모듈; 및상기회로기판에실장되어측정된환경요소정보를대중교통수단의단말장치로송출하고, 대중교통수단의상용전원과연결되어상기센싱모듈에제어전원을인가하는제어부를포함하는것을특징으로한다. 본발명에의하면, 차량의외부식별용갓등과최적화되고컴팩트한센싱모듈이하나의형태로통합되어이동식환경요소장치가구현됨에따라기존에운행중인차량등에간편하게설치및 운용될수 있음은물론이고, 환경요소장치의교체및 수리가용이해지는효과가있으며, 이로인해환경요소정보를보다광범위하고다각적으로수집분석할수 있는기술적토대가마련될수 있고, 나아가생활환경의개선이도모되는효과가있다.
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公开(公告)号:KR101900777B1
公开(公告)日:2018-09-20
申请号:KR1020170181529
申请日:2017-12-27
Applicant: 한국과학기술정보연구원
Abstract: 본발명은사물인터넷(Internet of Things, IoT) 기술을기반으로, 도시내 미세먼지와미세먼지를유발하는대기오염물질을측정한도시환경센싱데이터를분석하여도시내에서다른구역과매우다른패턴을보이는특이구역(outlying region)을탐색함으로써, 탐색된특이구역들의특성또는공통점을파악하는방식을통해서추후도시환경개선에매우유용한정보를획득할수 있는도시환경분석서버및 그동작방법에관한것이다.
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公开(公告)号:KR101863632B1
公开(公告)日:2018-06-04
申请号:KR1020170180209
申请日:2017-12-26
Applicant: 한국과학기술정보연구원
CPC classification number: G01D18/006 , G01D1/02 , G01D1/12 , G01D21/02
Abstract: 본발명은다중센서를기반으로동일한환경에서동일한속성을측정한각각의센서값에대해센서값간의편차를반영한보정실시하여보정된센서값에대한신뢰성과정확성그리고안정성을보장할수 있는센서값처리서버및 그동작방법에관한것이다.
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公开(公告)号:KR101270476B1
公开(公告)日:2013-06-03
申请号:KR1020120083211
申请日:2012-07-30
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/30445
Abstract: PURPOSE: A graph data-based instance route search system and a method thereof are provided to efficiently search for correlations by applying instance information and relation information between classes to a parallel graph database. CONSTITUTION: A peer server information database(160) stores information about a class route managed by peer servers. A graph database(110) stores class information about keywords and relation information. If two or more keywords are inputted by a user, a master server(100) extracts a class about the keywords from the graph database and confirms the peer servers from the peer server information database in order to transmit a route search command including the class to the peer servers. [Reference numerals] (100) Master server; (110) Graph DB; (120) Communication unit; (130) User interface unit; (140) Class route generating unit; (150) Route search request processing unit; (160) Peer server information DB
Abstract translation: 目的:提供一种基于图形数据的实例路由搜索系统及其方法,通过将实例信息和类之间的关系信息应用于并行图形数据库来有效地搜索相关性。 构成:对等服务器信息数据库(160)存储由对等服务器管理的类路由的信息。 图形数据库(110)存储关于关键词和关系信息的类信息。 如果用户输入两个或多个关键字,则主服务器(100)从图表数据库中提取关于关键字的类,并从对等服务器信息数据库确认对等服务器,以便将包括该类的路由搜索命令发送到 对等服务器。 (附图标记)(100)主服务器; (110)图DB; (120)通讯单元; (130)用户界面单元; (140)类路由生成单元; (150)路由搜索请求处理单元; (160)对等服务器信息DB
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公开(公告)号:KR101269428B1
公开(公告)日:2013-05-30
申请号:KR1020120083209
申请日:2012-07-30
Applicant: 한국과학기술정보연구원
Abstract: PURPOSE: A data distribution system and a method thereof are provided to minimize network IO time and join operations between nodes in a distribution parallel system, thereby shortening response time of the whole system. CONSTITUTION: Data nodes(200a-200c) store data. A management node(100) confirms a type pattern by analyzing the data. The management node determines a data node which stores the data based on state information of data nodes which the type pattern is set and distributes the data to the data node. When the data includes a plurality of type patterns, the management node is assigned to one data node. [Reference numerals] (100) Management node; (200a) Data node 1; (200b) Data node 2; (200c) Data node n; (AA) Data
Abstract translation: 目的:提供一种数据分发系统及其方法,以最小化分布并行系统中节点之间的网络IO时间和加入操作,从而缩短整个系统的响应时间。 规定:数据节点(200a-200c)存储数据。 管理节点(100)通过分析数据来确认类型模式。 管理节点基于数据节点的状态信息来确定存储数据的数据节点,该节点的类型模式被设置并将数据分发到数据节点。 当数据包括多个类型模式时,管理节点被分配给一个数据节点。 (附图标记)(100)管理节点; (200a)数据节点1; (200b)数据节点2; (200c)数据节点n; (AA)数据
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公开(公告)号:KR101845755B1
公开(公告)日:2018-04-06
申请号:KR1020160127693
申请日:2016-10-04
Applicant: 한국식품연구원 , 한국과학기술정보연구원
Abstract: 본발명은식재료안전지수모니터링장치, 그방법및 그방법을실행시키기위한프로그램을기록한컴퓨터로읽을수 있는기록매체에관한것으로, 본발명에따른식재료안전지수모니터링장치은식재료에관한지역별재배환경및 기상에관한정보를수집하는데이터수집부; 및상기재배환경및 기상에관한정보와식중독발생간의상관관계에관한안전진단모델에기초하여식재료안전지수를산출하는안전지수산출부를포함한다.이에의해식재료의식중독위험성을증가시킬것으로예상되는식재료의지역별재배환경에관한정보를식재료안전지수산출의기초자료로활용함으로써보다정확한식재료안전지수를산출할수 있다. 또한, 식재료안전지수를시각화함으로써, 직관적으로식재료안전에관한데이터를쉽게알 수있게해 준다.
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公开(公告)号:KR101556541B1
公开(公告)日:2015-10-02
申请号:KR1020140140576
申请日:2014-10-17
Applicant: 한국과학기술정보연구원
CPC classification number: G06F9/5083
Abstract: 본발명은고부하경로기반의복합이벤트처리장치및 그방법에관한것으로서, 메시지전송경로에대한로그패턴을분석하여고부하경로를식별하는고부하경로탐색부, 상기식별된고부하경로에따라파티션을생성하는파티션생성부를포함한다.
Abstract translation: 本发明涉及一种基于高负载路径处理复杂事件的装置和方法。 该装置包括高保持路径搜索部分,其分析消息传输路径的对数模式,并识别高负载路径; 以及分区生成部,其根据所识别的高负载路径生成分区。
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公开(公告)号:KR101240330B1
公开(公告)日:2013-03-11
申请号:KR1020120077375
申请日:2012-07-16
Applicant: 한국과학기술정보연구원
CPC classification number: G06F17/3071 , G06F17/2795
Abstract: PURPOSE: A multi-dimensional document classification system and a method thereof are provided to improve document classification efficiency by applying a document classification algorithm to a group generated by grouping classification systems. CONSTITUTION: A classification system generation unit(210) generates a part classification system based on stored learning target documents. A quality extraction unit(220) extends qualities by extracting the qualities from the learning target document of the part classification system. A classifier generation unit(230) generates a learning model for the part classification system by using the extracted or extended qualities. When a new document is inputted, a document classification unit(250) classifies the document based on a learning model including the qualities by extracting the qualities from the inputted document. [Reference numerals] (200) Classifier; (210) Classification system generation unit; (220) Quality extraction unit; (230) Classifier generation unit; (240) Learning model DB; (250) Document classification unit
Abstract translation: 目的:提供一种多维文档分类系统及其方法,通过将文档分类算法应用于通过分组分类系统生成的组来提高文档分类效率。 构成:分类系统生成单元(210)基于存储的学习目标文档生成部分分类系统。 质量提取单元(220)通过从部件分类系统的学习目标文档中提取质量来扩展质量。 分类器生成单元(230)通过使用提取的或扩展的质量来生成用于分类系统的学习模型。 当输入新文档时,文档分类单元(250)通过从输入的文档中提取质量,基于包括质量的学习模型对文档进行分类。 (附图标记)(200)分类器 (210)分类系统生成单元; (220)质量提取单位; (230)分类器生成单元; (240)学习模型DB; (250)文件分类单位
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公开(公告)号:KR101226162B1
公开(公告)日:2013-01-24
申请号:KR1020120083210
申请日:2012-07-30
Applicant: 한국과학기술정보연구원
IPC: G06F17/30
CPC classification number: G06F17/30569 , G06F17/30321 , G06F17/30598
Abstract: PURPOSE: A method for converting ontology data into graph data and a device thereof are provided to guarantee a quick response speed of data search by converting the ontology data into the graph data. CONSTITUTION: An ontology information obtaining unit(210) obtains schema information and instance information from an ontology database. A data analyzing unit(220) analyzes the schema information and the instance information to generate an instance property list including class information, a relation information list displaying multi relation information of the instances, and an instance list including the instances including a class. A storage control unit(230) stores the instance property list, the relation information list, and the instance list in a database. [Reference numerals] (200) Data converter; (210) Ontology data obtaining unit; (220) Data analyzing unit; (230) Storage control unit
Abstract translation: 目的:提供将本体数据转换为图形数据的方法及其装置,以通过将本体数据转换为图形数据来保证数据搜索的快速响应速度。 构成:本体信息获取单元(210)从本体数据库获取模式信息和实例信息。 数据分析单元(220)分析模式信息和实例信息以生成包括类信息的实例属性列表,显示实例的多重关系信息的关系信息列表以及包括类的实例的实例列表。 存储控制单元(230)将实例属性列表,关系信息列表和实例列表存储在数据库中。 (附图标记)(200)数据转换器; (210)本体数据获取单元; (220)数据分析单元; (230)存储控制单元
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公开(公告)号:KR101535813B1
公开(公告)日:2015-07-10
申请号:KR1020140140577
申请日:2014-10-17
Applicant: 한국과학기술정보연구원
IPC: G06F17/00
CPC classification number: G06F9/542
Abstract: 본발명은복합이벤트처리를위한이벤트구성규칙의동적업데이트를위한시스템및 방법에관한것으로서, 이벤트구성규칙을분석하여중복요소를신규가상규칙노드로변경하고, 비중복요소와조합하여이벤트규칙을생성하는분석부, 상기신규가상규칙노드를기 저장된가상규칙노드의집합과순차적으로비교하고, 그비교결과를따라상기신규가상규칙노드또는가상규칙노드의집합을분할및 재구성하는업데이트부를포함한다.
Abstract translation: 本发明涉及一种用于动态更新用于处理复杂事件的事件构成规则的系统和方法。 该系统包括:分析单元,用于通过分析事件构成规则将重叠因子改变成新的虚拟规则节点,并通过将事件规则与非重叠因子相结合来生成事件规则; 以及更新单元,用于顺序地比较新颖的虚拟规则节点与预先存储的虚拟规则节点集合,以及根据比较结果来划分和重新构建新颖的虚拟规则节点或虚拟规则节点集合。
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