• Annual Conference on Human and Language Technology
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• 2002.10e
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• pp.111-117
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• 2002

개체명 인식은 질의응답(QA), 정보 주줄(IE), 텍스트 마이닝 시스템의 성능 향상에 중요한 역할을 담당한다. 이 논문에서는 교사학습 기반의 한국어 개체명 인식에 대해 설명한다. 한국어에서 많은 개체명들이 하나 이상의 단어로 구성되어 있으며, 개체명을 구성하는 단어 사이에는 의존 관계가 존재하고, 개체명과 개체명 주위의 단어 사이에도 문맥적 의존관계를 가지고 있다. 본 논문에서는 가변길이의 개체명과 주변 문맥의 학습을 위해 트라이그램을 이용한 HMM을 사용하였으며, 자료 부족 문제를 해소하기 위해 어휘 기반이 아닌 부개체 유형 기반의 학습을 수행하였다. 학습된 개체명 인식 시스템을 이용하여 경제 분야의 신문 기사에 대한 실험 결과, 84.4%의 정확률과 90.9%의 재현률을 보였다.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.45-56
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• 2005

The weak foundation of the computing environment caused information leakage and hacking to be uncontrollable, Therefore, dynamic control of security threats and real-time reaction to identical or similar types of accidents after intrusion are considered to be important, h one of the solutions to solve the problem, studies on intrusion detection systems are actively being conducted. To improve the anomaly IDS using system calls, this study focuses on neural networks learning using the soundex algorithm which is designed to change feature selection and variable length data into a fixed length learning pattern, That Is, by changing variable length sequential system call data into a fixed iength behavior pattern using the soundex algorithm, this study conducted neural networks learning by using a backpropagation algorithm. The backpropagation neural networks technique is applied for anomaly detection of system calls using Sendmail Data of UNM to demonstrate its performance.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.10
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• pp.169-177
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• 2012

A non-decimation second-order spatial moving average (SMA) discrete-time (DT) filter is proposed with reconfigurable null frequencies. The filter coefficients are changeable, and it can be controlled by switching sampling capacitors. So, interferers can be rejected effectively by flexible nulls. Since it operates without decimation, it does not change the sample rate and aliasing problem can be avoided. The filter is designed with variable weight of coefficients as $1:{\alpha}:1$ where ${\alpha}$ varies from 1 to 2. This corresponds to the change of null frequencies within the range of fs/3~fs/2 and fs/2~2fs/3. The proposed filter is implemented in the TSMC 0.18-${\mu}m$ CMOS process. Simulation shows that null frequencies are changeable in the range of 0.38~0.49fs and 0.51~0.62fs.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.229-236
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• 2003

Named entity recognition is the process indispensable to question answering and information extraction systems. This paper presents an HMM based named entity (m) recognition method using the construction principles of compound words. In Korean, many named entities can be decomposed into more than one word. Moreover, there are contextual relationships among nouns in an NE, and among an NE and its surrounding words. In this paper, we classify words into a word as an NE in itself, a word in an NE, and/or a word adjacent to an n, and train an HMM based on NE-related word types and parts of speech. Proposed named entity recognition (NER) system uses trigram model of HMM for considering variable length of NEs. However, the trigram model of HMM has a serious data sparseness problem. In order to solve the problem, we use multi-level back-offs. Experimental results show that our NER system can achieve an F-measure of 87.6% in the economic articles.

• Journal of the Korean Society of Costume
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• v.61 no.8
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• pp.114-126
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• 2011

Many varieties in folk costumes have inspired fashion designs for a long time. Each country, with a unique style of its own reflects their own traditions, beliefs, customs and morals into their traditional costumes. The traditional methods of creating different ways of drapery methods by using only a rectangular piece of cloth have been passed down from generation to generation and it is still used today. This way of styling has been developed mainly in the Middle East, Asia and Africa and the modifiable ways of creating drapery wearing methods are as follows. The first modifiable styling method is changing the purpose of wearing costumes according to the needs and the wants of the person who wears it. The second method is exposing the knots on the surface of the garments and by doing this, there was no visible difference on the aesthetic formation and it did not alternate for a long time. This means that simple knot shapes have been used to tie edges of rectangular fabrics. The third method is a wrapping type of modifiable styling method, which has been used most commonly in folk costumes because there are lots of ways to wrap a rectangular cloth around the body. The fourth way is the fixed type of modifiable styling method and this method can only be noticed only in the Moroccan Izar using fibulas and belts to alter the shape of the Izar. The fifth method is the composite type of modifiable styling method. This method starts by cutting out cylindrical shapes of fabrics and then wraps or twists it to fit the body. The most significant character of modifiable styling methods in folk costumes is to use rectangular cloths, which varies only in ratio of length, width and sizes. Therefore, this study suggests that rectangular cloths can create enormous amounts of fashion styling which can be easily adapted and created in everyday fashion life.

• Land and Housing Review
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• v.1 no.1
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• pp.9-17
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• 2010

Due to the variety of processes that are mainly influenced by the modification of law and regulations, it is difficult to propose a formal procedure of urban renewal projects. In addition, conflicts among various participants and stake-holders have made urban renewal difficult to manage. Needs for new systems to support management of this type of projects have been raised. This system should enable users to manage program aspects as well as projects given that the urban renewal consists of several projects. According to analysis of current context, the requirements of the system are classified as follows: a method to create flexible systems to cope with various process; functions to provide data on cost and schedule; user-friendly visualized tools enhancing understand of non-experts or less-experienced participants. This paper summarizes the background, requirements, concept and model of the system. Currently, prototype systems have been developed. Regarding outputs presented so far, potential benefits of the system are presented as well.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.473-484
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• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.54-67
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• 2013

The main purpose of this study is to analyze the diversion rate by the levels of delay and the types of display. For this study, we developed the logit model by analyzing the result of SP survey of drivers who have driver's licence after manipulating a virtual driving simulator. The result of analysis was that the types of display was not statistically significant to the diversion rate. On the other hand, the levels of delay was very meaningful factor with the diversion rate. When the main road was flowing smoothly, drivers started to detour at the levels of delay 125% under the traffic free flow state. Similarly, when the levels of delay got worse, the diversion rate kept the same percentage as it was at the levels of delay 125% state which represented a smooth road condition. Likewise, when the main road's traffic flow was slow, drivers appeared to make detours at the same state of the levels of delay 125%. It was found that as the levels of delay got worse, the diversion rose higher than the diversion rate at the condition of slow traffic flow situation with the levels of delay 125%. The result of this study suggests the criterion of drivers detour point. For the conclusion, the result of study would be a reasonable reference for establishing transportation strategies by reflecting drivers' detouring property and would improve the efficiency of traffic flow.

• Journal of Life Science
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• v.30 no.2
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• pp.122-128
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• 2020

Although Candida albicans is the major fungal pathogen of candidemia, severe infections by non-albicans Candida (NAC) spp. have been increasing in recent years. Among NAC spp., C. glabrata has emerged as the second most common pathogen. However, few studies have been conducted to investigate its structure, epidemiology, and basic biology. In the present study, multi-locus sequence typing (MLST) was performed with a total of 102 C. glabrata clinical isolates that were isolated from various types of clinical specimen. For MLST, six housekeeping genes-FKS, LEU2, NMT1, TRP1, UGP1, and URA3-were amplified and sequenced. The results were analyzed using the C. glabrata database. Out of a total of 3,345 base-pair DNA sequences, 49 variable nucleotide sites were found, and the results showed that 12 different sequence types (ST) were identified from the 102 clinical isolates. The data also demonstrated that the undetermined ST1 was the most predominant ST in Korea. Further, seven undetermined STs (UST) containing UST2-8 were classified at specific loci. The data from this study may provide a fundamental database for further studies on C. glabrata, including its epidemiology and evolution. The data may also contribute to the development of novel antifungal agents and diagnostic tests.

• Journal of KIISE
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• v.42 no.11
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• pp.1361-1371
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• 2015

Depending on the increase amongst various cloud services, the technology of the Cloud Service Broker (CSB) to find the most appropriate services to meet the needs of cloud service consumers has emerged. In order to advance for cloud services to be used through the CSB, it is important to ensure the quality level that meets the demands of consumers through a negotiation process based on the Service Level Agreement (SLA). However, quality metrics of cloud services are different from each other based on the measurement scale, which represents the quality level, and the calculation for each type of cloud services. Therefore, it is necessary to analyze the variability of the quality of cloud services and establish a SLA model for ensuring and improving the level of quality. In this paper, we analyze the quality metrics for the specific type of cloud services by applying the cross-cutting concept and propose a Virtual SLA (VSLA) meta-model.