• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.481-489
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• 2010

Due to the increase of the attention on relation extraction systems, the construction of test collections for assessing their performance has emerged as an important task. In this paper, we propose semi-automatic framework capable of constructing test collections for relation extraction on a large scale. Based on this framework, we develop a test collection which can assess the performance of various approaches to extracting relations between technical terminologies in scientific literatures. This framework can minimize the cost of constructing this kind of collections and reduce the intrinsic fluctuations which may come from the diversity in characteristics of collection developers. Furthermore, we can construct balanced and objective collections by means of controlling the selection process of seed documents and terminologies using the proposed framework.

• Current Industrial and Technological Trends in Aerospace
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• v.5 no.2
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• pp.33-42
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• 2007

위성체 총조립 및 시험(AIT ; Assembly, Integration & Test)을 위한 전기지상지원장비(EGSE ; Electrical Ground Support Equipment)와 위성 임무 준비 및 운용을 위한 관제시스템(MCS ; Mission Control System)의 공동 개발은 미국과 유럽의 위성사업 기관 및 업체에서 지금까지 많은 연구가 되어 왔다. 비록 두 시스템이 다른 목적으로 사용되고 있지만 기술적으로 유사한 기능을 갖는 시스템으로서 많은 공통점과 호환 가능성을 갖고 있다. 두 시스템의 공동 개발은 시스템 개발과 위성 운용 교육 및 준비에 필요한 비용 절감뿐만 아니라 AIT 단계에서 위성운용단계로의 자연스러운 전환이 가능하다. 이는 AIT 단계에서 공통지상시스템 하드웨어 및 운영시스템, 시험/운용 절차서, 위성 데이터베이스의 사전 검증이 이루어지기 때문이다. 또한 위성 운용 요원의 AIT 참여를 통해 공통지상시스템 운용 훈련과 위성 관제 지식 습득이 자연스럽게 이루어 질 수 있다. 이로서 사업 일정과 개발 위험도를 최소화 할 수 있다. 이러한 두 시스템의 공통성과 호환성 및 공통시스템 개발 장점이 있기에 EGSE와 MCS의 공통 기능에 대한 표준화 작업은 1986년 만들어진 COES(Committee for Operations and EGSE Standard)에서 공식적으로 논의되기 시작하여 1994년 CNES와 ESA의 발의로 제정된 ECSS(European Cooperation for Space Standards)를 통해 국제 표준(ISO, CCSDS 등)을 바탕으로 한 지상시스템에 대한 유럽 표준화 작업이 ECSS-E-70 Working Group에서 진행되고 있다. 또한 검증된 지상시스템의 핵심 운영시스템의 소프트웨어 모듈의 재사용을 통해 최근에서 다양한 공통지상시스템이 개발되어 운용되고 있다. 이러한 배경으로 국내에서도 저궤도 위성 개발에서 EGSE 핵심 모듈인 TM/TC 처리 및 Database 관리 모듈을 AIT 단계에서 개발 및 검증 후에 MCS에서의 재사용을 적극적으로 고려하고 있다. 앞으로 국제적인 추세에 따라 AIT 및 지상국간의 기술 및 인력 교류와 핵심모듈 개발을 통한 공통지상시스템 개발의 활발한 전개가 예상된다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.13 no.3
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• pp.243-260
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• 2011

To predict TBM performance in design stage is indispensable for its successful application. The NTNU model, one of the representative TBM performance prediction models uses two distinct parameters such as DRI and CLI obtained from three different tests on bored rock cores. Based on DRI and CLI, it is possible to predict TBM advance rate and cutter life in the NTNU model. In this study, NTNU testing methods and their related testing equipments were introduced to measure DRl and CLI for the NTNU model. Then, in order to derive their relationships, the two key parameters measured for 39 domestic rocks were compared with physico-mechanical properties of rock such as uniaxial compressive strength and quartz content. Lastly, the experimental results were also compared with NTNU database to verify their reliability.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1267-1276
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• 2008

The time taken for an ischemic heart disease patient to have a percutaneous coronary intervention because of acute myocardial infarction after arriving at the hospitals (door-to-balloon time) affects the patient's mortality significantly. To improve the emergency service system that has been previously used in the hospitals, this study focused on reducing door-data time and data-to-decision time among three time stages. The newly established e-emergency service system has set up the database of patients that had an emergency operation for acute myocardial infarction in the emergency service system of the hospital and has issued health cards for the patients that regularly visit the Busan National University Hospital. In addition, it has stored prior operation permits in the form of a certified electronic document. The new electronic system will reduce the complex treatment and operation procedures innovatively. Therefore, it is expected that this will make the life save (or the emergency patients easier and reduce the mortality. Moreover, it will also settle down the hospital staff's and patients' predicaments caused by the complex procedure of the legacy system.

• Journal of Korea Multimedia Society
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• v.16 no.7
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• pp.870-878
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• 2013

In this paper, we propose a novel fingerprint classification method to enhance the accuracy and efficiency of the fingerprint identification system, one of biometrics systems. According to the previous researches, fingerprints can be categorized into the several patterns based on their pattern of ridges and valleys. After construction of fingerprint database based on their patters, fingerprint classification approach can help to accelerate the fingerprint recognition. The reason is that classification methods reduce the size of the search space to the fingerprints of the same category before matching. First, we suggest a method to extract region of interest (ROI) which have real information about fingerprint from the image. And then we propose a feature extraction method which combines gray level co-occurrence matrix (GLCM) and wavelet features. Finally, we compare the performance of our proposed method with the existing method which use only GLCM as the feature of fingerprint by using the multi-layer perceptron and support vector machine.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.598-601
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• 2003

As the amount of information on the WWW is increasing at a very high speed, the role of search engines has become more necessary and important. Yet, current popular search engines have a limitation of scalability because the more information those engines gather, the more garbage hit search results are produced, thus, XML based metadata has recently been the issue of much focus. Metadata is information about information, which using a small potion of data can express the fundamental information about other information. XML enables data to be expressed better organized and well structured. Moreover, the information in those current efficiency and make them disappointed by dead links and obsolete pages. this is because the information was collected and indexed in advance before users do searching. therefore, a mechanism is required that cam search from current and up-to-date information resources dynamically in real time to avoid retrieving out of data information. In this study, a new concept search agent system for the WWW by using XML based technology is proposed. the implementation of the prototype of this proposed system, the comparison with traditional search engines, and the evaluation of the prototype system are also discussed.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.143-151
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• 2015

The Crack, occurred in the concrete structure, is a major cause of function deterioration such as strength, durability and waterproof. Therefore the need for crack reduction will continue as long as there is concrete structure. But, it is not easy to reduce or prevent crack cause of impact factor of it. There are so many factors of crack such as material, construction and maintenance environment, and structure, and these are acting in combination. So, this study derives a correlation between the cracks and members through reviewing member crack occurred. And member's attribute, related crack, is analyzed by it. It consider that the basic attribute of member is similar when its requirements are similar. Through this study, therefore, foundation of countermeasure of crack will be provided by prediction of crack shape through member's attribute.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.181-193
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• 1996

A new technique for land cover classification which applies digital image pre-classified by unsupervised classification technique, clustering, to Canonical Correlation Analysis(CCA) was proposed in this paper. Compared with maximum likelihood classification, the proposed technique had a good flexibility in selecting training areas. This implies that any selected position of training areas has few effects on classification results. Land cover of each cluster designated by CCA after clustering is able to be used as prior information for maximum likelihood classification. In case that the same training areas are used, accuracy of classification using Canonical Correlation Analysis after cluster analysis is better than that of maximum likelihood classification. Therefore, a new technique proposed in this study will be able to be put to practical use. Moreover this will play an important role in the construction of GIS database

• Journal of Internet Computing and Services
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• v.8 no.6
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• pp.43-53
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• 2007

Intrusion detection system(IDS) has recently evolved while combining signature-based detection approach with anomaly detection approach. Although signature-based IDS tools have been commonly used by utilizing machine learning algorithms, they only detect network intrusions with already known patterns, Ideal IDS tools should always keep the signature database of your detection system up-to-date. The system needs to generate the signatures to detect new possible attacks while monitoring and analyzing incoming network data. In this paper, we propose a new outlier cluster detection algorithm with density (or influence) function, Our method assumes that an outlier is a kind of cluster with similar instances instead of a single object in the context of network intrusion, Through extensive experiments using KDD 1999 Cup Intrusion Detection dataset. we show that the proposed method outperform the conventional outlier detection method using Euclidean distance function, specially when attacks occurs frequently.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.3
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• pp.35-46
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• 2016

Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,${\ldots}$ on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining, keyword-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.