• Annual Conference of KIPS
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• 2007.11a
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• pp.801-804
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• 2007

실 시간적인 데이터의 수집과 더불어 수집한 데이터의 실 시간적인 전송을 기반으로 정보를 보다 폭넓게 활용할 수 있는 환경을 제공하기 위해 시스템에서 자동적으로 정보를 배포해주는 Publish/Subscribe 시스템에 대한 요구가 증대되고 있다. 이러한 pub/sub 시스템은 사용자의 요구사항을 미리 저장, 이를 이용하여 수집되는 정보와 사용자의 요구와 사용자를 찾아 배포해주는 방법을 사용하는데, 이때, 일치 여부를 확인하는 매칭 과정에서의 많은 자원과 시간의 소모가 문제점으로 대두되고 있다. 따라서, 논문에서는 보다 효율적으로 데이터와 범위를 이용하여 나타내는 사용자의 요구를 매칭하는 방법을 제공하는 CGIM 알고리즘을 제안하였다.

• Annual Conference of KIPS
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• 2007.11a
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• pp.139-141
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• 2007

최근 멀티미디어를 검색하기 위해 메타데이터 기반의 검색 방법에서 컨텐츠 자체를 검색 하려는 연구들이 활발히 진행되고 있다. 특히 음악 검색의 경우 허밍 입력으로 검색을 하려는 QBH(Query By Humming)가 많은 관심을 끌고 있다. 하지만 허밍 데이터는 개인마다 음높이나 박자 정보들이 모두 다르고 숨소리 등의 내재된 오류 정보들이 많아 정확한 검색 결과를 얻기가 쉽지 않다. 허밍 검색의 정확도 향상을 위해서는 음 데이터 추출이나 허밍의 오류 보정, 유사도 측정과 관련된 연구들이 선행되어야 한다. 본 논문에서는 효과적인 멜로디 표현방법에 대해 다양한 실험을 통해 최적의 모델을 제시하려 한다. 방법으로 UDR을 다양한 범위로 나누고 가중치를 달리하는 방법으로 실험을 한 결과 허밍을 그룹으로 분류하는 방법이 정확도를 향상 시키는 것을 확인 하였다.

• Annual Conference of KIPS
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• 2007.05a
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• pp.862-864
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• 2007

유비쿼터스 사회가 도래함으로써 정보의 가치는 더욱 더 증대되고 정보의 수집은 가장 기본적인 요구사항으로 인식되고 있다. 또한 이러한 요구에 맞추어 여러 종류의 데이터들을 수집할 수 있는 센서 네트워크에 관련한 연구들이 진행되고 있다. 센서 네트워크의 발전은 보다 다양하고 방대한 정보를 센서네트워크로부터 수집하고 이를 가공하여 배포해주는 시스템에 대한 필요로 이어지고 있지만, 현재까지 진행된 연구는 매우 미미하다고 할 수 있다. 본 논문에서는 효율적인 데이터 가공, 관리를 제공하는 그리드 환경을 이용하여 보다 효과적이고 정확한 정보 배포 시스템을 제안하고자 한다.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.2
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• pp.15-21
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• 2011

It is required to accumulate experimental datum that make the theories easy to general technicians in order to use composite material widely on construction field. Therefore, we intend to present base technologies that evaluate static and fatigue performance according to the FRP deck section and offer the basis datum for FRP deck analyses and the design standards. As results of static tests, it can be shown that specimen with fabric direction has higher rigidity than that with normal to fabric direction and convergence for the datum. Due to this reason, it has more stable behavior by structural characteristics of matrix arrangement during destruction. For the fatigue tests, we found that by increasing the number of test repetition, test specimen with fabric direction had an crack just before the destruction, and the contact surface was detached.

• Convergence Security Journal
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• v.19 no.1
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• pp.11-17
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• 2019

Recently, the abuse of Internet technology has caused economic and mental harm to society as a whole. Especially, malicious code that is newly created or modified is used as a basic means of various application hacking and cyber security threats by bypassing the existing information protection system. However, research on small-capacity executable files that occupy a large portion of actual malicious code is rather limited. In this paper, we propose a model that can analyze the characteristics of known small capacity executable files by using data mining techniques and to use them for detecting unknown malicious codes. Data mining analysis techniques were performed in various ways such as Naive Bayesian, SVM, decision tree, random forest, artificial neural network, and the accuracy was compared according to the detection level of virustotal. As a result, more than 80% classification accuracy was verified for 34,646 analysis files.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4C
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• pp.255-264
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• 2006

The auxiliary reinforcement method is normally applied to prevent a possible collapse of the tunnel face where the ground condition is not favorable or geologic information is not sufficient. Recently, several engineering approaches have been made to choose the effective reinforcement methods using expert system such as neural network and fuzzy theory field, among others. Even if the expert system has offered many decision aid tools to properly select the reinforcement method, the quantitative assessment items are not easy to estimate and this is why the data mining technique, widely used in the field of social science, medical treatment, banking and agriculture, is introduced in this study. Using decision tree together with PDA, the decision aids for reinforcement method based on field construction data are created to derive the field rules and future study will be concentrated on the application of the proposed methods in a variety of underground development cases.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.4
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• pp.205-227
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• 2016

The research analyzed the collaborative research network based on the data of international academic papers in order to understand the structure of production of scientific knowledge by North Korean scientists. According to the analysis results, the subject areas of research were concentrated on basic science fields such as physics, mathematics and chemistry. The main collaborative research collaboration with North Korea is China, and the phenomenon has become stronger since Kim Jong Eun era. Major joint research in physics has moved from Germany to China. Among the research institutions that actively engaged in academic activities, KIM IL SUNG UNIV, ACAD SCI DPRK, KIM CHAEK UNIV TECHNOL, and UNIV SCI among 32 research institutes belonging to North Korean researchers who published international academic papers.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.573-580
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• 2004

As the modern techniques have improved, people intend to store and manage the information on the web. Especially, it is the image data that is given a great deal of weight of the information because of the development of the scan and popularization of the digital camera and the cell-phone's camera. However, most image retrieval systems are still based on the text annotations while many images are creating everyday on the web. In this paper, we suggest the new approach for the semantic image retrieval using the RDF metadata based on the representation of the spatial relationships. For the semantic image retrieval, firstly we define the new vocabularies to represent the spatial relationships between the objects in the image. Secondly, we write the metadata about the image using RDF and new vocabularies. Finally. we could expect more correct result in our image retrieval system.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.399-408
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• 2016

As entering the Big Data age, utilization of Big Data is also increasing in the intellectual property sector. Meanwhile, the purpose of a trademark which distinguishes the source of the goods essentially is to enable the public to recognize the goods. Big Data technologies which is recently becoming a issue can be used as a tool to judge consumer's awareness of the trademark. It was difficult for judgment of trademark awareness through traditional ways. As a new way, survey methodology has bee received attention, and it was applied to the field of trademark law. However, various problems such as cost, time, objectivity, and fairness were observed. In order to overcome theses limitations, this study proposes new way utilizing big data analytics for judgment on consumer's awareness of the trademark. This new way will not only contribute to enhancing the objectivity of judging trademark awareness but also utilized to support for related legal judgments.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.4
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• pp.260-264
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• 2009

There have been many studies on u-Healthcare system for human using sensor network systems. In this paper, we design and implement a healthcare system for pets called uPetCare(Ubiquitous Pet-Care System) that can manage the status of pet on the web. The main functions of this system are 1) gathering data using sensor network, 2) multi-hop communication in sensor network, 3) data compression and aggregation at sink node, 4) storing data in web server, 5) real-time data monitoring using AJAX, 6) activity recognition of pet.