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公开(公告)号：KR1020130134046A
公开(公告)日：2013-12-10
申请号：KR1020120057282
申请日：2012-05-30
Applicant: 전북대학교산학협력단 , (주)유엠텍
Abstract: A cosine similarity based expert recommendation method using a hybrid collaborative filtering technique which calculates the similarity between an expert's attributes (i.e. specialties and field of interest) and the experts and recommends those experts related to a user is disclosed. A high-precision image matching device and a method thereof using skin markers and inbody feature points, as an example, is capable of performing an expert recommendation process based on a score estimation method when the volume of data stored in an expert database is insufficient, improving the quality of recommendation by applying weight based on the activities (i.e. papers, career, etc.) of an expert in order to determine the expert's expertise, and allowing an SNS user to communicate and work with others regarding his/her field of interest by getting a recommendation about the experts regarding his/her field of interest. [Reference numerals] (AA) User information;(BB) Recommendation score table;(CC) Score estimation table;(DD) Ranking;(EE) Verification;(FF) Expert recommendation
Abstract translation: 使用混合协同过滤技术的余弦相似性专家推荐方法，该技术计算专家的属性（即专业和感兴趣的领域）与专家之间的相似性，并推荐与用户相关的那些专家。 作为示例，高精度图像匹配装置及其使用皮肤标记和特征点的方法能够在存储在专家数据库中的数据量不足时基于分数估计方法执行专家推荐过程， 通过根据专家的活动（即论文，职业等）应用体重来提高推荐质量，以确定专家的专业知识，并允许SNS用户与他/她的兴趣领域进行沟通和合作 通过获得关于他/她的兴趣领域的专家的建议。 （参考号）（AA）用户信息;（BB）推荐分数表;（CC）分数估计表;（DD）排名;（EE）验证;（FF）
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公开(公告)号：KR101438312B1
公开(公告)日：2014-09-12
申请号：KR1020130029613
申请日：2013-03-20
Applicant: 전북대학교산학협력단 , (주)유엠텍
Abstract: The present invention relates to a method for encoding data, which is capable of raising query processing speed and improving security, and to a system for transmitting and receiving encoded data using the same. According to the present invention, the method for encoding data comprises: an original data converting step of converting original data into ASCII to digitize the original data; an original data group creating step of creating at least one group by specifying the range of the converted original data by predetermined sections; a first encoding step of setting an area for encoded data into which the original data specified by sections is to be converted, and creating a first random numerical value (a) in the area for encoded data corresponding to the original data; a second encoding step of setting a periodic function for identifying an accurate position of the encoded data, and creating a second numerical value (b) by applying the original data to the periodic function; and a third encoding step of setting periodic sections for the periodic function through the differentiation of the periodic function, and giving random conversion values to each of the periodic sections to create a third numerical value (c) that is a random conversion value of a periodic section including the value of the original data. The present invention can provide the effect of strengthening the security of data from a sequence matching attack and a data count attack.
Abstract translation: 本发明涉及一种能够提高查询处理速度和提高安全性的数据编码方法以及使用该数据的编码数据的发送和接收系统。 根据本发明，用于编码数据的方法包括：原始数据转换步骤，将原始数据转换为ASCII数字化原始数据; 原始数据组创建步骤，通过预定部分指定所转换的原始数据的范围来创建至少一个组; 第一编码步骤，用于设置要由段指定的原始数据的编码数据的区域，并在对应于原始数据的编码数据的区域中创建第一随机数值（a）; 第二编码步骤，设置用于识别编码数据的准确位置的周期函数，以及通过将原始数据应用于周期函数来创建第二数值（b）; 以及第三编码步骤，通过周期性函数的微分设置周期性函数的周期性段，并向每个周期性区间给出随机转换值，以产生第三数值（c），其是周期性的随机转换值 部分包括原始数据的值。 本发明可以提供从序列匹配攻击和数据计数攻击强化数据的安全性的效果。
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公开(公告)号：KR101363171B1
公开(公告)日：2014-02-14
申请号：KR1020120057282
申请日：2012-05-30
Applicant: 전북대학교산학협력단 , (주)유엠텍
Abstract: 전문가의 속성(전문분야, 관심분야)과 전문가 간의 유사도를 계산한 후, 사용자와 관련된 전문가를 추천해 주는 하이브리드 협업적 여과 방법을 이용한 코사인 유사도 기반 전문가 추천 방법을 개시한다.
일 실시예로서, 피부마커와 체내 특징점을 이용한 고정확도 영상정합 장치 및 방법은, 전문가 데이터베이스에 저장되어 있는 데이터가 적을 경우에 점수 예측 기법을 통하여 전문가 추천을 수행할 수 있고, 전문가의 전문성을 판단하기 위하여 전문가의 활동(논문, 경력 등)을 활용하여 가중치를 적용해서 추천의 질을 높일 수 있고, SNS 사용자는 자신의 관심분야에 대한 전문가를 추천받아 자신의 관심분야에 대한 커뮤니케이션 및 협업을 수행할 수 있다.-
公开(公告)号：KR100919845B1
公开(公告)日：2009-09-30
申请号：KR1020080109830
申请日：2008-11-06
Applicant: (주)유엠텍
Abstract: PURPOSE: A meta modeling-based ontology system is provided to store the ontology effectively by designing an ontology storage structure based on the syntax structure and meaning structure of an ontology language. CONSTITUTION: A meta modeling-based ontology system comprises an ontology syntax analysis/knowledge base generator(100), an ontology knowledge base(400), an ontology relation database(300) and a relation database linking device(600). The ontology syntax analysis/knowledge base generator receives an ontology document prepared in an ontology language, and then extracts a concept element and relation defined in an ontology meta model. The ontology knowledge base is created through the ontology syntax analysis/knowledge base generator and has data of the relation database structure type.
Abstract translation: 目的：提供基于元建模的本体系统，通过基于本体语言的语法结构和意义结构设计本体存储结构来有效地存储本体。 构成：基于元建模的本体系统包括本体语法分析/知识库生成器（100），本体知识库（400），本体关系数据库（300）和关系数据库链接设备（600）。 本体语法分析/知识库生成器接收本体语言准备的本体文档，然后提取本体元模型中定义的概念元素和关系。 本体知识库通过本体语法分析/知识库生成器创建，并具有关系数据库结构类型的数据。
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