• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.695-698
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• 2000

본 논문에서는 이미지 데이터 컬러 속성을 기반으로 한 영상 검색 방법을 제안한다. 두 이미지 사이의 유사성을 측정하기 위하여 컬러 히스토그램의 분포 특성을 이미지 데이터베이스 영상과질의 영상에서 계산하여 유사도를 결정하도록 설계하였다. 두 영상의 유사도를 측정하기 위해 두영상의 R, G, B 히스토그램에 대해서 같은 값에 대한 빈도 수의 차를 거리로 측정한 후, 구해진 거리의 차를 비교한 방법과 히스토그램의 분포 곡선을 이루는 방정식을 구한 수 있도록 곡선 정합을 한 후에 두 영상의 컬러 특징 속성에 관한 특징 값의 추출을 위해서 다항식 보간법에 의한 방정식을 이용한 방법을 소개한다. 공간 데이터베이스 시스템에서 질의에 대한 효율적인 처리를 위해 R-Tree와 최대 점을 이용하여 영상을 검색한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2000.05a
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• pp.201-209
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• 2000

정보산업의 발달과 함께 일반 사용자들의 데이터베이스의 사용이 증가함에 따라 부정확한 자연어 질의 처리를 할 수 있는 인공 지능적인 질의시스템이 필요하게 되었다. 이러한 질의시스템이 자연어 질의를 처리하려면 불확실한 데이터들에 대한 정보를 제공하는 MetaData가 반드시 필요하고, 데이터베이스 분야와 인공지능 분야의 이론들을 바탕으로 MetaData의 정형화 및 분류가 필요하다. 본 연구에서는 퍼지이론, 확률이론을 기초로 하여 소속척도, 근접추론, 유사관계, 데이터마이닝 기법 등을 이용하여 MetaData를 정형화하고 분류하였다.

• Journal of Korea Multimedia Society
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• v.16 no.9
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• pp.1057-1066
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• 2013

Personal verification using finger-knuckle-print(FKP) uses lines and creases at the finger-knuckle area, so the orientation information of texture is an important feature. In this paper, we propose an effective FKP verification method which extracts keypoints using SIFT algorithm and matches the keypoints by vector similarity. The vector is defined as a direction vector which connects a keypoint extracted from a query image and a corresponding keypoint extracted from a reference image. Since the direction vector is created by a pair of local keypoints, the direction vector itself represents only a local feature. However, it has an advantage of expanding a local feature to a global feature by comparing the vector similarity among vectors in two images. The experimental results show that the proposed method is superior to the previous methods based on orientation codes.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.53-63
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• 2011

The repetitive occurrence of similar accident is one of the biggest feature in construction disasters. Similar accident cases provide direct information for finding risk of scheduled activities and planning safety countermeasure. Many systems are developed to retrieve and use past accident cases by researchers. However, these researches have some limitations for performing too much retrieval to obtain results considering construction site conditions or not reflecting characteristics of safety planning steps or both. To overcome these limitations, this study proposes accident case retrieval system that can search similar accident cases. It also helps safety planning using information retrieval and building information modeling. The retrieval system extracts BIM objects and composes a query set combining BIM objects with site information DB. With past accident cases DB compares a query set, it seeks the most similar case. And results are provided to safety managers. Based on results of this study, safety managers can reduce excessive query generation. Furthermore, they can be easy to recognize risk of a construction site by obtaining coordinations of objects where similar accidents occurred.

• Journal of Information Management
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• v.35 no.4
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• pp.81-105
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• 2004

In this study, the way of the automatic text categorization on web-based query was implemented. X2 methods based on the Supported Vector Machine were used to test the efficiency of text categorization on queries. This test is carried out by the model using the Synonymy List. 713 synonyms were extracted manually from the tested documents. As the result of this test, the precision ratio and the recall ratio were decreased by -0.01% and by 8.53%, respectively whether the synonyms were assigned or not. It also shows that the Value of F1 Measure was increased by 4.58%. The standard deviation between the recall and precision ratio was improve by 18.39%.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.473-476
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• 2006

인터넷의 발달로 인하여 정보의 양은 시간이 지날수록 폭발적으로 증가하고 있다. 이러한 방대한 정보로부터 정보검색시스템은 사용자에게 너무 많은 검색결과를 제시하여 사용자가 원하는 정보를 찾기 위해 너무 많은 시간을 소요하게 하는 정보의 과적재 문제가 있다. 질의 기반의 문서요약은 정보의 사용자가 원하는 정보의 검색시간을 줄임으로써 정보의 과적재 문제를 해결하는 방법으로서 점차 중요성이 증가하고 있다. 본 논문은 비음수 행렬 인수분해 (NMF, Non-negative Matrix Factorization)과 코사인 유사도를 이용하여 질의 기반의 문서를 요약하는 새로운 방법을 제안하였다. 제안된 방법은 질의와 문서 간에 사전학습이 필요 없다. 또한 문서를 그래프로 변형시키는 복잡한 처리 없이 NMF 에 의해 얻어진 의미 특징(semantic feature)과 의미 변수(semantic variable)로 문서의 고유 구조를 반영하여 요약의 정확도를 높일 수 있다. 마지막으로 단순한 방법으로 문장을 쉽게 요약할 수 있다.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.285-292
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• 2013

The method of recent information retrieval passes into an semantic search to provide more accurate results than keyword-based search. But in common user case, they are still accustomed to using existing keyword-based search. Hence they are hard to create a typed structured query language. In this paper, we propose to ontology knowledge-base scheme for query interpretation of these user. The proposed scheme was designed based on the OWL-DL for description logic reasoning, it can provide a richer representation of the relationship between the object by using SWRL(Semantic Web Rule Language). Finally, we are describe the experimental results of the similarity measurement for verification of a user query semantic interpretation.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.55-63
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• 2001

Speaking generally, agent-based technology is a kind of technology to handle the flood of information resulted from the popularization of the internet. Agent system is a multi-distributed system which consists of both homogeneous and heterogeneous agents. Generally there is a coordination agent in between which is in charge of control and m message flow among the application agents. The purpose of this thesis is to propose a coordination method among agents, some of which provide informations and some of which request them. In multi-agent system, the Information Providing Agent(IPA) registers its capabilities to Coordination Agent(CA) and the Information Requesting Agent(lRA) requests CA what it needs. To coordinate them with satisfactory results the coordination agent ought to have an ability to return a relatively proper data to the requester which is supposed to be similar even though it is not so exact as was intended. For this, this thesis proposes a scheme for an coordination agent to find an IPA which provides an information which correlates most closely with that of IRA.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.617-624
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• 2016

The hangul word embedding should be performed certainly process for noun extraction. Otherwise, it should be trained words that are not necessary, and it can not be derived efficient embedding results. In this paper, we propose model that can retrieve more efficiently by query language expansion using hangul word embedded, apriori, and text mining. The word embedding and apriori is a step expanding query language by extracting association words according to meaning and context for query language. The hangul text mining is a step of extracting similar answer and responding to the user using noun extraction, TF-IDF, and cosine similarity. The proposed model can improve accuracy of answer by learning the answer of specific domain and expanding high correlation query language. As future research, it needs to extract more correlation query language by analysis of user queries stored in database.

• Asia Marketing Journal
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• v.7 no.2
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• pp.1-22
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• 2005

This paper reports on a study testing a model of relationship quality in the context of new versus mature export-import relationships. The model posits that perceived similarity, relationship performance, and opportunism predict relationship quality, moderated by relationship duration. The model also posits relationship quality affects commitment. A survey of importers with regard to their relationships with foreign exporters was conducted to test the model. It has been found that perceived similarity has a significant effect on relationship quality at the early stage of the relationship, but not at the later stage of the relationship. It also has been found that relationship performance and opportunism have significant influence on relationship quality. Regardless of relationship duration, the study results provided good support for our model. Theoretical and managerial implications of the study results are discussed.