• Title/Summary/Keyword: 유사성 탐색

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A Preliminary Study on Micro-earthquakes Occurred from 2010 to 2017 in Busan, Korea (2010-2017년 부산지역의 미소 지진 예비 탐색)

  • Yoon, Soheon;Han, Jongwon;Won, Deokhee;Kang, Su Young;Ryoo, Yong Gyu;Kim, Kwang-Hee
    • Journal of the Korean earth science society
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    • v.40 no.3
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    • pp.272-282
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    • 2019
  • Although the knowledge of current seismicity is a critical information for making and implementing effective earthquake-related policy, the detailed seismicity information of the metropolitan areas with high-population density has been largely underestimated due to the high-level of cultural noise and small earthquake magnitude. This study presents 12 earthquakes including 2 earthquakes previously known and 10 additional earthquakes occurred from 2010 to 2017 in Busan, but they were unreported by the Korea Meteorological Administration. Matched filter technique is used to detect micro-earthquakes. Although the epicenters of micro-earthquakes though present a distinguished linearity, a correlation with faults in the area is unknown. A repeated micro-seismicity suggests that there are subsurface structures responsible for observed events. If large earthquakes occur along the fault in Busan, they may cause catastrophic natural disasters. Given the fact that the recent earthquakes did not accompany any surface signatures, it is highly recommended that the current micro-seismicity be investigated, and updated seismicity information be incorporated into establishing active fault maps in Korea.

Molecular Identification of Pseudanabaena Strains and Analysis of 2-MIB Production Potential in the North Han River System (북한강 수역에 분포하는 Pseudanabaena 균주의 동정 및 2-MIB 생산 잠재성 분석)

  • Kim, Keonhee;Lee, Sejin;Seo, Kyunghwa;Hwang, Soon-Jin
    • Korean Journal of Ecology and Environment
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    • v.53 no.4
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    • pp.344-354
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    • 2020
  • Identification of the target species of 2-MIB (2-methyllisoborneol) production is crucial in the management of off-flavor problem in the freshwater system. This study was conducted to identify 2-MIB-producing Pseudanabaena strains occurring in the North Han River system using molecular genetic method. Eleven phenotypes of Pseudanabaena were isolated from several mainstream sites of the North Han River, including Sambong-ri, Joam-myun, and Lake Uiam areas. Despite of morphological similarity of the strains, the phylogenetic analysis using 16S rDNA classified them into different species with low genetic similarity (40~55%). Isolated Pseudanabaena strains were converged to four species; Pseudanabaena cinerea, P. yagii, P. mucicola, and P. redekei. Among them, the 2-MIB synthesizing gene (mibC) was detected in P. cinerea, P. yagii, and P. redekei. However, actual 2-MIB production was detected only in P. cinerea and P. redekei based on gas chromatography analysis. This study is the first report of the molecular identification of Pseudanabaena strains and their 2-MIB production potential in Korea. The results of this study provides an evidence of species diversity of Pseudanabaena occurring in the North Han River.

Analysis of ICT Education Trends using Keyword Occurrence Frequency Analysis and CONCOR Technique (키워드 출현 빈도 분석과 CONCOR 기법을 이용한 ICT 교육 동향 분석)

  • Youngseok Lee
    • Journal of Industrial Convergence
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    • v.21 no.1
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    • pp.187-192
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    • 2023
  • In this study, trends in ICT education were investigated by analyzing the frequency of appearance of keywords related to machine learning and using conversion of iteration correction(CONCOR) techniques. A total of 304 papers from 2018 to the present published in registered sites were searched on Google Scalar using "ICT education" as the keyword, and 60 papers pertaining to ICT education were selected based on a systematic literature review. Subsequently, keywords were extracted based on the title and summary of the paper. For word frequency and indicator data, 49 keywords with high appearance frequency were extracted by analyzing frequency, via the term frequency-inverse document frequency technique in natural language processing, and words with simultaneous appearance frequency. The relationship degree was verified by analyzing the connection structure and centrality of the connection degree between words, and a cluster composed of words with similarity was derived via CONCOR analysis. First, "education," "research," "result," "utilization," and "analysis" were analyzed as main keywords. Second, by analyzing an N-GRAM network graph with "education" as the keyword, "curriculum" and "utilization" were shown to exhibit the highest correlation level. Third, by conducting a cluster analysis with "education" as the keyword, five groups were formed: "curriculum," "programming," "student," "improvement," and "information." These results indicate that practical research necessary for ICT education can be conducted by analyzing ICT education trends and identifying trends.

A DB Pruning Method in a Large Corpus-Based TTS with Multiple Candidate Speech Segments (대용량 복수후보 TTS 방식에서 합성용 DB의 감량 방법)

  • Lee, Jung-Chul;Kang, Tae-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.6
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    • pp.572-577
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    • 2009
  • Large corpus-based concatenating Text-to-Speech (TTS) systems can generate natural synthetic speech without additional signal processing. To prune the redundant speech segments in a large speech segment DB, we can utilize a decision-tree based triphone clustering algorithm widely used in speech recognition area. But, the conventional methods have problems in representing the acoustic transitional characteristics of the phones and in applying context questions with hierarchic priority. In this paper, we propose a new clustering algorithm to downsize the speech DB. Firstly, three 13th order MFCC vectors from first, medial, and final frame of a phone are combined into a 39 dimensional vector to represent the transitional characteristics of a phone. And then the hierarchically grouped three question sets are used to construct the triphone trees. For the performance test, we used DTW algorithm to calculate the acoustic similarity between the target triphone and the triphone from the tree search result. Experimental results show that the proposed method can reduce the size of speech DB by 23% and select better phones with higher acoustic similarity. Therefore the proposed method can be applied to make a small sized TTS.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Perceived Usefulness of Online Reviews by Web Novel Readers According to Review Message Types: A Study on the Moderation Effect of Decision-Making Styles (리뷰 메시지 유형에 따른 웹소설 독자의 온라인 리뷰 유용성 평가: 의사결정 유형의 조절효과)

  • Lee, Hyeon-Ji;Kim, Ha-Kyeong;Rim, Hye Bin
    • Science of Emotion and Sensibility
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    • v.25 no.3
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    • pp.63-76
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    • 2022
  • Consumers of web novels read online reviews in order to decrease uncertainty when purchasing a web novel. This study examines the types of messages (factual or evaluative) that consumers find more useful and verifies the moderating effect of individual analytical decision-making style levels on differences in usefulness evaluation. Based on the tendency to acquire objective information, the usefulness of factual online reviews was expected to be higher in the context of buying experience goods, such as a web novel. Levels of analytical decision-making styles, which were classified based on individual perception, are also expected to affect the usefulness evaluation of reviews. Experiments 1 and 2 were repeatedly conducted to examine whether consumers think factual reviews are more useful than evaluative reviews. In particular, Experiment 2 was conducted to simulate the circumstance of selecting a romance web novel and demonstrated that reviews have a significant effect on messages and decision-making styles. The interaction effect between analytical decision-making style levels and review message types was also confirmed in Experiment 2. The results of this study can help researchers and marketers comprehend the behavioral patterns of web novel readers when evaluating reviews and consuming experience goods.

RELIABILITY AND VALIDITY OF A KOREAN EMPATHY CONSTRUCT HATING SCALE (한국인의 공감 측정 도구에 관한 연구)

  • KIM, MOON SIL
    • Journal of Korean Academy of Nursing
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    • v.18 no.1
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    • pp.26-33
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    • 1988
  • 내담자와 상담자간의 관계형성 추진에 관한 연구가 C. Rogers에 의해 시작된 이래, 돕는자 또는 상담자가 가져야 할 주요 조건으로서 공감, 존중, 온정, 확고부동함, 진지성, 자기노출, 직면반응 등을 들고 있으며 이중 둘 또는 세 요소 등을 선택하여 그 효과를 보고 있으나 역시 가장 주요한 요소로써는 공감을 들고 있다. 공감에 관한 연구는 그 본질의 정서적 측면, 인지적 측면 또는 복합적인 측면을 강조하면서 시도되고 있으나 간호원은 돕는자로써 환자의 문제해결을 위한 전수자적 역할을 해야한다는 점을 고려할때 간호현상에서의 공감에 관한 연구는 복합적인 측면을 강조하는 공감이 어 야 한다고 생각한다. 간호학자들도 간호원의 돕는 행위중 주요 요소로써 공감을 들고 있으며 특히 Lamonica는 공감측정을 위한 도구를 개발하였으며 공감이란 환자가 간호원이 환자의 입장을 이해하고 도와준다는 사실을 인지하고 그 고마움을 표현하는 것을 의미한다고 하였다. 본 연구자는 간호원-환자간의 촉진적 관계형성을 위한 교육내용 개발에 대한 기본 연구로써 한국인의 공감 정도를 측정할 수 있는 도구개발의 중요성을 느껴 Lamonica 의 공감측정 도구를 번역하게 되었다. 본 연구의 구체적인 목적은 미국문화권에서 사용되는 공감측정 도구가 한국인에게 적합하고 의미있게 번역되었는지를 확인하고 또한 한국인이 인지한 공감에 대한 탐색을 하는데 있다. 위 목적달성을 위하여 횡문화적 연구과정을 통한 개념분석, 도구 개발에 대한 통계분석을 시도하였다. 한국인의 공감 개념 분석을 위하여 미국 텍사스 오스틴에 있는 한국인에게 공감의 뜻, 동의어, 어떤 경우에 공감을 느꼈는지, 어떤 경우에 비공감적임을 느꼈는지를 물은 결과 한국인이 갖는 공감의 의미는 미국인의 것과 유사하지만 그 표현방법의 차이가 있음을 알게 되었다. 따라서 두 국가에서 사용되는 공감의 의미가 유사하고 또한 간호학자인 Lamonica가 개발한 공감측정 도구를 한국인에게 사용하는데 무리가 없을 것으로 판단되었다. 도구의 번역은 텍사스 주립대학 박사과정 지원생인 임상 심리 학자에게 의뢰하고 그 정확성을 판단하기 위해 인간을 대상으로 하는 학문을 연구하는 한국인(간호학, 사회학, 신문방송, 광고학, 심리학 전공)에게 그 정확성 유무를 물어 최고 27점, 최하 9점중 22점 미만인 문항에 대해서는 미국 간호학자와 의논하여 수정ㆍ보완하였다. 그 후 일반인으로 간주되는 한국인에게 그 도구의 이해 여부를 확인한 후 통계분석을 시도하였다. 대상자는 미국 텍사스 오스틴에 거주하면서 한국을 떠난지 3년 미만인 성인 45명을 대상으로 하였다. 2차에 걸친 자료수집 과정상 5명의 자료는 분석 불가능하다고 판단되어 총 40명의 자료를 spss- X를 이용하여 cronbach's alpha, test-retest stability, intercorrelation matrix 분석을 통한 결과는 다음과 같다. 1) cronbach's alpha는 1차 .9353 2차 .9666으로써 문항의 동질성을 보였고, 3, 4주 간격으로 행한 test-retest stability는 .7619(p=000)이였다. 2) 반면에 intercorrelation matrix에서는 역관계 또는 무관계를 보였으며 84문항중 26문항의 item-to-total correlation값이 .35미만이었고 이 중 16문항은 .30 미만이었다. 이들을 제외한 68문항과 58문항의 각각의 item-to-total correlation간은 .96이었고 test retest stability 역시 .76으로써 84문항 전체에 관한 값과 유사하였다. 3) 역상관 또는 무상관의 값을 보인 문항을 미국 간호학자와 재검토한 결과 본래 문항에서의 단어 의미가 복합적이거나 불분명한 것이었고 또는 미국 문화권에서 사용되는 특이한 용어임을 알 수 있었다. 따라서 한국인 공감 측정 도구의 타당성을 높이기 위해 역통역을 시도하였다. 그후 공감에 관한 연구를 하고 있는 미국 학자에게 그 정확성을 판단하여 최종적으로 58문항이 한국인 공감측정 도구로서 적합하다는 판단을 하였다. 위 결과를 통한 결론 및 제언은 다음과 같다. 인간의 행위는 조건화된 문화권에 따라 다를 수 있으며, 이것은 같은 현상을 인지하는데도 영향을 미치게 되며 본 연구와 같이 어떤 현상에 대한 횡문화적 연구는 그 행위를 이해하는데 도움을 준다. 그러나 한국에서 간호에 대한 연구가 한국적 토착화 과정에 있으므로 그 연구 방법이나 도구사용이 서구의 것을 도입해야 하는 입장을 고려할 때 도구번역 과정은 원래의 의미나 함축성을 내포한 번역이어야 하며 소홀히 해서는 안될 과정임을 재확인되었다. 또한 추후 연구로써 다양한 계층의 다수를 대상으로 한 한국인 공감 측정 도구의 타당성을 재확인해야 하며 요인분석을 시도할 필요성이 있다고 사려된다.

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Investigation of Biological Activities of Enzymatic Hydrolysate of Spirulina (스피루리나 효소가수분해물의 생리활성 탐색)

  • Son, Min-Hee;Park, Keun-Hyoung;Choi, A-Reum;Yoo, Gui-Jae;In, Man-Jin;Kim, Dong-Ho;Chae, Hee-Jeong
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.38 no.2
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    • pp.136-141
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    • 2009
  • Biological activities of enzymatic hydrolysate of spirulina (EHS) were investigated. EHS showed no significant effects on the growth-stimulating activity for lactic-acid bacteria and antioxidant activity. EHS showed slight in vitro growth-inhibitory effects (15% at 1.42 mg/L) on a human cervical cancer cell line (HeLa). In addition, the anticoagulant activities of EHS were measured based on three different pathways: common, intrinsic and extrinsic pathways. As an indication of anticoagulant activity on common pathway, thrombin time (TT) of EHS (100 mg/L) was measured as 155.6 sec. Activated partial thromboplastin time (aPTT) for intrinsic pathway of EHS (1,000 mg/L) was measured as 95.8 sec. Prothrombin time (PT) based on extrinsic pathway of EHS (1,000 mg/L) was measured as 10.6 sec. These data showed that EHS have influences on anticoagulant factors of common pathway and intrinsic pathway. Consequently it was found that EHS could be used as a functional food for blood circulation.

Optimization of Conditions for the Preparation of W/O Emulsion Containing Eugenolchitosan (Eugenolchitosan 함유 유중수적형 유화 형성 조건 최적화)

  • Kim, Je-Jung;Chang, Pahn-Shick;Jung, Byung-Ok;Park, Dong-Ki
    • Korean Journal of Food Science and Technology
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    • v.35 no.3
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    • pp.423-428
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    • 2003
  • Stabilities of W/O emulsions containing eugenolchitosan (EuCs) prepared from chitosan and eugenol were compared to determine the optimal conditions for the ratio of water (core phase) to corn oil (continuous phase), the concentration of EuCs, storage temperature, and the extent of homo-mixing. The optimal ratio of water to corn oil was 2:3 (w/w). The effects of EuC concentrations, and singular vs. binary system of emulsifiers on the storage stability of the emulsion were investigated with EuCs and polyoxyethylene sorbitan monolaurate. The emulsion was stable, showing more than 95% emulsion stability index (ESI) value, when the concentration of EuCs was more than 0.18% (w/v). ESI value of binary emulsifier system was almost equal to that of singular emulsifier system at the concentration of 0.18% (w/v). At this singular emulsifier system, the W/O emulsion formed by EuCs had ESI value of 100%. The optimal concentration of EuCs was determined as 0.18% (w/v). The highest stability of the emulsion was obtained from the homo-mixing at 11,000 rpm for 10 sec and the storage temperature ranging $25{\sim}65^{\circ}C$. EuCs produced from this study was mutagenecity-negative on Ames test and contained no heavy metal ions.

Study on the Characteristics of Spatial Relationship between Heat Concentration and Heat-deepening Factors Using MODIS Based Heat Distribution Map (MODIS 기반의 열 분포도를 활용한 열 집중지역과 폭염 심화요인 간의 공간관계 특성 연구)

  • Kim, Boeun;Lee, Mihee;Lee, Dalgeun;Kim, Jinyoung
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1153-1166
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    • 2020
  • The purpose of this study was to analyze the spatial correlation between the heat distribution map of the satellite imaging base and the factors that deepen the heat wave, and to explore the heat concentration area and the space where the risk of future heat wave may increase. The global Moran's I of population, land use, and buildings, which are the causes of heat concentration and heat wave deepening, is found to be high and concentrated in specific spaces. According to the analysis results of local Moran's I, heat concentration areas appeared mainly in large cities such as metropolitan and metropolitan areas, and forests were dominant in areas with relatively low temperatures. Areas with high population growth rates were distributed in the surrounding areas of Gyeonggi-do, Daejeon, and Busan, and the use of land and buildings were concentrated in the metropolitan area and large cities. Analysis by Bivarate Local Moran's I has shown that population growth is high in heat-intensive areas, and that artificial and urban building environments and land use take place. The results of this research can lead to the ranking of heat concentration areas and explore areas with environments where heat concentration is concentrated nationwide and deepens it, so ultimately it is considered to contribute to the establishment of preemptive measures to deal with extreme heat.