• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.235-245
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• 2005

The rapid development of computer network technology has brought the Internet as the major infrastructure to our society. But the rapid increase in malicious computer intrusions using such technology causes urgent problems of protecting our information society. The recent trends of the intrusions reflect that the intruders do not break into victim host directly and do some malicious behaviors. Rather, they tend to use some automated intrusion tools to penetrate systems. Most of the unknown types of the intrusions are caused by using such tools, with some minor modifications. These tools are mostly similar to the Previous ones, and the results of using such tools remain the same as in common patterns. In this paper, we are describing design and implementation of attacker-traceback system, which traces the intruder based on the multi-agent architecture. The system first applied SOM to classify the unknown types of the intrusion into previous similar intrusion classes. And during the intrusion analysis stage, we formalized the patterns of the tools as a knowledge base. Based on the patterns, the agent system gets activated, and the automatic tracing of the intrusion routes begins through the previous attacked host, by finding some intrusion evidences on the attacked system.

• Journal of Convergence for Information Technology
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• v.10 no.2
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• pp.184-192
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• 2020

This study presents a gait analysis method (including time series analysis) using a smart insole as an objective and quantitative evaluating method after lumbar scoliosis surgery. The participant is a degenerative lumbar scoliosis patient. She took 3-min-gait-test four times(before and 8, 16, and 204-days after surgery) and 6-min-gait-test once(204-days after surgery) with smart-insoles in her shoes. Each insole has 8-pressure sensors, an accelerometer, and a gyroscope. The measured values were used to compare the characteristics of gait before and after surgery. The analysis showed that all of the patient's gait parameters improved after surgery. And after 6 months, the gait was more stable. However, after long walk, the swing duration of one leg was slightly shorter than that of the other again. It was a preclinical problem that could not be found in the visual examination by the practitioner. With this analysis method we could evaluate the improvement of patient quantitatively and objectively. And we could find a preclinical problem. This analysis method will lead to the studies that define and distinguish gait patterns of certain diseases, helping to determine appropriate treatments.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.217-245
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• 2016

The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

• Journal of Life Science
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• v.25 no.4
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• pp.376-384
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• 2015

To investigate the molecular events of controlling intramuscular fat (or marbling), which is an important factor in the evaluation of beef quality, we performed cDNA microarray analyses using the longissimus dorsi muscle and back fat tissues. For this study, we constructed normalized cDNA libraries: fat tissues in native Korean cattle (displaying 1,211 specific genes), and muscle tissues in native Korean cattle (displaying 1,346 specific genes). A bovine cDNA chip was constructed with 1,680 specific genes, consisting of 760 genes from muscle tissues and 920 genes from fat tissues. The microarray analysis in this experiment showed a number of differentially expressed genes, which compared the longissimus dorsi muscle (Cy5) with back fat tissue (Cy3). Among many specific differentially expressed genes, 12-lipoxygenase (oxidizing esterified fatty acids) and prostaglandin D synthase (differentiation of fibroblasts to adipocytes) are the key candidate enzymes that should be involved in controlling the accumulation of intramuscular fat. In this study, differentially and commonly expressed genes in the muscle and fat tissues of native Korean cattle were found in large numbers, using the hybridization assay. The expression levels of the selected genes were confirmed by semi-quantitative RT-PCR, and the results were similar to those of the cDNA microarray.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.3
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• pp.315-343
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• 2015

This study reviews articles in published in the The Journal of Korean Biblio Society for Library and Information Science (JKBSLIS) over 5 years from 2010 to 2014 for identifying the academic characteristics and the recent research trends of the JKBSLIS. 300 articles of JKBSLIS are analyzed in terms of bibliometric factors, research theme, methodology, author keywords, and intellectual structure comparing with 344 articles of the Journal of Korean Society for Library and Information Science (JKSLIS) and 283 articles of the Journal of Korean Society for Information Management (JKOSIM). In results, there is no differences between JKBSLIS and the other two journals, JKSLIS and JKOSIM regards on bibliometric factors. The domain research areas in the JKBSLIS are 'Information Services', 'Library Management' and 'Reading Education'. It is also found that the most popular methods are 'survey' and 'case study' and that the main research areas in the shown intellectual structure are 'public library & reading', 'academic library & collection management', and 'school library & information literacy education'.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.129-146
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• 2014

This paper investigates how industrial diversity affects unemployment and employment instability from the perspective of the regional economy. Through this analysis, we examine how the industry-specific policy to promote some industry strategically in most of areas affects the stability of the regional economy. We measure Herfindahl indexes using the 1993-2010 data of 16 regions in Korea, and use panel regression model for empirical analysis. The main results from this empirical analysis are summarized as follows. First, we confirm that the industrial structure of most regions has been changed to the direction of specialization in 1990s and to the direction of diversification in 2000s through analyzing the changes in the values of Herfindahl indexes during the given period. Second, we find from the estimation results of panel regression model that the higher industrial diversity in most of regions is, the lower the unemployment rate is. However, a statistically significant relationship between industrial diversity and employment instability only partially confirmed. Third, there exist high unemployment rate and employment instability in most metropolitan areas, but it is hard to say that this relationship is highly statistically significant. From the results of the empirical analysis, it is likely that the industry-specific policies such as the regional strategic industry development policies unlike policy goals make the unemployment rate to rise and economic instability to increase. From the viewpoint of employment aspects, the strategies to increase industrial diversity would be desirable rather than those to specialize in the industrial structure.

• Applied Microscopy
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• v.39 no.3
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• pp.237-243
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• 2009

Chinese minnow, Rhynchocypris oxycephalus is a teleost belonging to Leuciscinae, Cyprinidae. The oogenesis and ultrastructure of egg envelope in Chinese minnow were investigated by light and electron microscopes. The ovary was of white yellowish and ellipsoidal shape with the major axis 30 mm and the minor axis 7mm. Cytoplasm of oogonia was basophilic and many nucleoli were located at inside of nuclear membrane. In primary oocytes, yolk vesicles were distributed only in the marginal area and egg envelope was not formed on the outside of an egg. In secondary oocytes, the egg envelope was formed and yolk vesicles in the cytoplasm were increased than the earlier stage. The basophilic substance of cytoplasm was changed to acidic. In case of matured egg, thickness of egg envelope and size of egg were increased. The yolk vesicles were changed to yolk mass in accordance with development. The outer surface of egg envelope was covered by microvilli-structures, and had a micropyle on the area of animal pole. Egg envelope consisted with 2 layers, an adhesive outer layer with microvilli-structures and fibrillar inner layer. In conclusion, the oogenesis of Chinese minnow was characterized by the increase in cell size, the formation and accumulation of yolk, and the decrease of basophilic substance in the cytoplasm. The oogenesis of Chinese minnow seems to share common patterns in Cyprinidae, but these ultrastructural unique characters of egg envelope can be utilized in taxonomy of teleost.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.333-337
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• 1999

본 연구의 목표는 감성적 제품이나 환경을 체계적으로 개발하고 평가하는 과정에서 요구되는 DB를 개발하는 것으로서, 산업체에서의 활용도가 높고 공공성이 큰 데이터를 중심으로 지표를 수집하여 보급체계를 확립하는 것이다. 이번 연구에서는 2 단계 감성공학기반기술 연구 결과인 충 35 개 보고서 전자 파일을 입수하여 감성지표화 작업을 수행하였다. Web 상으로 지원 가능한 감성공학 지표(정보물)를 도출 하였으며, 감성공학 문헌, Handbook, Data compendium, 사전 등을 중심으로 지표를 분류하여 체계화하였다. 연구보고서로부터 도출 된 초기 지표로는 감성지표 185 개, 개발 제품/시스템 소개물 94 개, 웹으로 지원 가능한 감성공학 관련 정보물 35 개가 있다. 이를 기초로 활용 가능한 지표를 엄선하였다. 감성 제품 개발에 필요한 감성지표를 쉽고, 편리하고, 정확하게 검색하고, 감성공학 연구 결과들을 체계적으로 정리하기 위해 지표의 표현 방법, 용어, 기술 수준 등을 표준화하였다. 초기 도출된 감성지표 리스트 중 활용가치가 높은 결과물을 중심으로 감성지표를 정리하였으며, 현재 262개 지표에 대해서 연구책임자의 검증을 거쳐 지표화 작업을 완료하였다. 이들 결과는 인터넷을 통하여 서비스를 실시할 예정이며, 앞으로 제품설계, 환경응용 기술로서 감성공학적 제품설계를 위한 guideline으로 사용될 것으로 기대된다. 또한 이들 지표를 보급하기 위한 목적으로 개발한 감성공학 데이터베이스 시스템은 감성공학 자료의 보급체계로 활용되어 기업간의 정보교환 및 커뮤니케이션 유도를 통한 기업체간의 기술 및 관리 유기체계 구축에 활용될 것으로 기대된다.하도록 한다. 이는 기초과학 수준이 높은 북방권 국가들의 과학자들이 주로 활용되고 있다는 점에서도 잘 알 수 있으며 우리의 과학기술 약점을 보완하는 원천으로써 외국인 연구 인력이 대안이 되고 있음을 시사한다. 본 연구에서는 한국 연구 조직에서 일하는 외국인 연구자들의 동기 및 성과에 영향을 미치는 많은 요인들을 확인할 수 있었다. 상관관계, 분산분석, 회귀분석 등을 통해 활용 성과에 미치는 영향 요인들을 도출하였다. 설문 분석을 통하여 동기 및 성과 사이에는 강한 상관관계가 존재하는 것을 확인할 수 있었으며 이는 전통적인 동기 이론들과 부합한다. 대부분의 변수가 동기 및 성과에 동시에 영향을 미치는 것으로 조사되었으며 그중에서도 조직 협력 문화, 외국인 연구자의 의사소통 및 협력성, 외국인 연구자의 연구 능력 관련 변수들 및 연구 프로젝트의 기술수명주기, 외국인 연구자의 기존 기술지식의 흡수 등이 가장 중요한 변수로 나타났다. 이는 우리가 주로 중국 및 러시아 과학자들을 활용하여 상업화하는 외국인 연구인력 활용 패턴과도 일치하는 결과이다. 즉 우호적인 조직문화를 가지고 있는 연구 조직에서, 이미 과학기술 지식을 많이 가지고 있고 연구 능력도 높은 외국인 과학기술자를, 한국에서 기술이 태동 또는 성장하고 있는 연구 분야에서 활용하는 것이 가장 성과가 좋다는 사실을 확인시켜 주고 있다. 국내에서 최초로 수행된 본 연구는 외국인 연구 인력의 활용 성과가 매우 높으며, 우리의 과학기술혁신시스템을 보완하는 유효한 수단으로써 외국인 연구 인력이 중요한 대안이 될 수 있음을 발견하였다. 외국인 연구 인력을 잘 활용하기 위하여 문제점 및 개선방안을 활용 환경, 연구 인력

• Applied Biological Chemistry
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• v.47 no.2
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• pp.182-186
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• 2004

Morphological observation of roots and molecular technique were used to investigate the symbiotic relationships between arbuscular mycorrhizal (AM) fungi and ginseng roots. Korean ginseng, Panax ginseng, was collected from 8 sites in Korea. Colonization pattern of AM fungi in ginseng roots was determined as an Arum type under light microscopes. Nested PCR using AM fungal specific primers was employed to amplify a partial region on 18s rDNA of AM fungi from the root extracted mixed DNA. The amplified DNA was cloned and analyzed by random fragment length polymorphism (RFLP) with restriction enzymes, AluI, HinfI and AsuC21. One from each RFLP pattern was selected for sequencing. A total 16 clones were sequenced and identified as 2 species of AM fungi; Paraglomus brasilianum and Glomus spurcum. Paramglomus brasilianum was found from most of the ginseng roots, in this syudy suggesting that this species of AM fungi could have specific relationship with the ginseng root. Possible roles of AM fungal species in ginseng roots are discussed.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.261-274
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• 2011

In recent competitive business environment each enterprise has to be agile and flexible. For these purposes run-time monitoring ofservices provided by an enterprise and early decision making through this becomes core competition of the enterprise. In addition, in order to process various innumerable events which are generated on enterprise systems techniques which make filtering of meaningful data are needed. However, the existing study related with this is nothing but discovering of service faults by monitoring depending upon API of BPEL engine or middleware, or is nothing but processing of simple events based on low-level events. Accordingly, there would be limitations to provide useful business information. In this paper, through situation detection an extended complex event model is presented, which is possible to provide more valuable and useful business information. Concretely, first of all an event processing architecture in an enterprise system is proposed, and event meta-model which is suitable to the proposed architecture is going to be defined. Based on the defined meta-model, It is presented that syntax and semantics of constructs in our event processing language including various and progressive event operators, complex event pattern, key, etc. In addition, an event context mechanism is proposed to analyze more delicate events. Finally, through application studies application possibility of this study would be shown and merits of this event model would be present through comparison with other event model.