• 한국축산식품학회지
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• 제24권1호
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• pp.8-14
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• 2004

가축의 개체식별은 일반적으로 암호화된 코드를 부여한 이표를 활용하고 있으며 또한 생체에서 친자확인 검증을 위해 개체 혈액형 등이 활용되어 왔다. 그러나 생체 상태에서의 완벽한 개체 확인을 위한 수단으로 최근 유전자감식 기법이 널리 활용되고 있다. 이때 사용되는 유전자 표지는 소의 품종에 따라 매우 다양하게 발현되어 개체 확인 정확도를 높이기 위해 한우 집단에서 대상 유전자 표지의 유전자형 발현 양상을 분석하여 최적의 표지 유전자 표지를 설정하는 것이 필요하다. 따라서 본 연구는 한우의 원산지 추적 및 개체식별 검증 시스템에서 절절히 사용할 수 있도록 생체 유전자 감식기법에 소요되는 유전자 표지(genetic marker)를 개발하기 위해 수행되었다. 공시재료로는 후보 유전자 표지의 광범위한 한우집단 발현특성의 분석을 위해 국가 후대검정 집단 740두를 활용하였으며 도축되기 전 단계의 생축에서 분석된 유전자형과 도축 후 유통과정에서 분석된 유전자형을 이용한 개체 확인 여부의 검증을 위해 국내 브랜드한우 농가로부터 출하된 4두를 분석에 공시하였다. 후보 유전자 표지는 염색체 1번과 14번에서 확인되어 보고된 16종의 초위성체 DNA의 염기서열 정보를 이용하였다. 한우집단에서 나타난 각각의 대상 유전자 표지의 유전자형 분석결과를 보면 대립유전자는 최소 3개에서 최대 12였으며 이형접합체 발현율은 0.022∼0.824였다. 유효대립유전자수는 각각의 대상 유전자마다 3∼7의 범위를 보였으며 이들 중 6개의 유전자 표지를 설정하여 개체 확인을 실시할 경우 100%에 가까운 정확도가 나타난 것으로 추정되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1572-1593
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• 2018

The diversity and fast growth of Internet traffic volume are highly influenced by mobile and computer applications being developed. Moreover, the developed applications are too dynamic to be identified and monitored by network administrators. Several approaches have been proposed to identify network applications, however, are still not robust enough to identify modern applications. This paper proposes both, TSA (Traffic collection, Signature generation and Applications identification) system and a derived algorithm so called CSP (Contiguous Sequential Patterns) to identify applications for management and security in IP networks. The major focus of this paper is the CSP algorithm which is automated in two modules (Signature generation and Applications identification) of the proposed system. The proposed CSP algorithm generates DNA-like unique signatures capable of identifying applications and their individual services. In this paper, we show that the algorithm is suitable for generating efficient signatures to identify applications and application services in high accuracy.

• The Plant Pathology Journal
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• 제24권2호
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• pp.159-163
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• 2008

Accurate identification of pine wood nematode, Bursaphelenchus xylophilus is a prerequisite to diagnose the pine wilt disease. However, a fungivorous nematode, B. mucronatus is highly similar to B. xylophilus and it is difficult to differentiate these two species by morphological features. A molecular diagnosis method, ITSRFLP was applied for the identification of B. xylophilus and B. mucronatus from Korea. Genomic DNA was extracted from a single individual nematode and ITS DNA was amplified by PCR. The size of PCR product was approximately 900bp and the sequence data were obtained after cloning. Amplified ITS was digested by 5 different restriction enzymes (Rsa I, Hae III, Msp I, Hinf I, and Alu I) and provided a discriminatory profile for B. xylophilus and B. mucronatus. Besides, B. mucro- natus was determined to have 2 different genotypes, East Asian type and European type also clearly separated by Rsa I and Hae III digestion. European type of B. mucronatus is recently collected from Pinus koraiensis and has not been reported before. ITS sequnce data were analyzed by Restriction Mapper program and the result supported ITS-RFLP pattern. These data indicated that PCRRFLP method is an accurate and simple way for identification of Bursaphelenchus species.

• 한국수산과학회지
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• 제42권6호
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• pp.650-656
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• 2009

Recently, bottlenose dolphins have frequently appeared in coastal waters of the Jeju Islands. To determine whether these individuals belong to one or more pods, the Cetacean Research Institute (CRI) established visual and photo-identification surveys in the Jeju Islands from November 2007 to July 2009. During visual surveys, pods composed of 10 to 80 individuals were sighted mainly in the northeastern and northwestern of Jeju Islands. Eighty-nine individuals were identified and cataloged by photo-identification using natural nicks and notches on their dorsal fins. Thirty-six individuals were identified three times or more, and nine individuals were identified five times during seven surveys. One individual appeared in November 2007, August 2008, October 2008, April 2009, and July 2009. The results of our study confirm that these dolphins represent a coastal resident stock. Futhermore, we will establish dolphin abundance, management, and usage studies using continuous visual and photo-identification surveys.

• 한국수산과학회지
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• 제49권2호
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• pp.214-223
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• 2016

Joint time-frequency images of the broadband acoustic echoes of six fish species were obtained using the smoothed pseudo-Wigner-Ville distribution (SPWVD). The acoustic features were extracted by changing the sliced window widths and dividing the time window by a 0.02-ms interval and the frequency window by a 20-kHz bandwidth. The 22 spectrum amplitudes obtained in the time and frequency domains of the SPWVD images were fed as input parameters into an artificial neural network (ANN) to verify the effectiveness for species-dependent features related to fish species identification. The results showed that the time-frequency approach improves the extraction of species-specific features for species identification from broadband echoes, compare with time-only or frequency-only features. The ANN classifier based on these acoustic feature components was correct in approximately 74.5% of the test cases. In the future, the identification rate will be improved using time-frequency images with reduced dimensions of the broadband acoustic echoes as input for the ANN classifier.

• 기술혁신학회지
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• 제21권2호
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• pp.838-859
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• 2018

불확실성이 높은 환경하에서 기업이 경쟁우위를 유지하기 위해 창의성의 중요성은 더욱 강조되고 있다. 개인수준에서 창의성을 높이는 선행요인을 파악하기 위하여 본 연구에서는 주도적 성격이 창의성에 미치는 직접효과를 분석하였다. 또한 이들간의 관계를 조절하는 상황적 요인으로 조직동일시와 경쟁적 분위기를 제시한 후 이들 변수들의 조절효과를 검증하였다. 국내 대기업에 소속된 R&D 3개 연구소에 근무하는 R&D 인력 127명을 대상으로 실증분석한 결과 주도적 성격은 창의성에 긍정적인 영향을 미치는 것으로 나타났다. 또한 조직동일시와 경쟁적 분위기가 이들간의 관계를 긍정적으로 강화시키는 것을 확인하였다. 마지막으로 본 연구의 시사점, 한계 및 향후 연구방향을 논의하였다.

• 대한한의진단학회지
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• 제22권1호
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• pp.33-44
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• 2018

Objectives This study aimed to perform a cross-cultural translation of 5 kinds of pattern identification questionnaires from Korean to English: questionnaires for seven emotions, fatigue and malaise, phlegm, food retention, and blood stasis. Methods We followed the strict guideline on the cross-cultural translation of healthcare evaluation tool. Total five stages of study were conducted. First, translations of two individual translators. Second, synthesizing of the two results. Third, two back translations from synthesized version to Korean. Fourth, expert committee reviewed with the original version, synthesized version, back translated versions to make a pre-final version. Last, with the pre-final version, 5 Americans evaluated face validity of the pre-final version. We made a final version after the above-mentioned 5 stages. Result and conclusion International versions of the 5 kinds of pattern identification questionnaires were completed. We can expect this versions are widly used for clinical usage and following academical researches.

• 한국공작기계학회논문집
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• 제12권5호
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• pp.94-100
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• 2003

One of unique characteristics of guided waves is a dispersive behavior that guided wave velocity changes with an excitation frequency and mode. In practical applications of guided wave techniques, it is very important to identify propagating modes in a time-domain waveform for determination of detect location and size. Mode identification can be done by measurement of group velocity in a time-domain waveform. Thus, it is preferred to generate a single or less dispersive mode But, in many cases, it is difficult to distinguish a mode clearly in a time-domain waveform because of superposition of multi modes and mode conversion phenomena. Time-frequency analysis is used as efficient methods to identify modes by presenting wave energy distribution in a time-frequency. In this study, experimental guided wave mode identification is carried out in a steel plate using time-frequency analysis methods such as wavelet transform. The results are compared with theoretically calculated group velocity dispersion own. The results are in good agreement with analytical predictions and show the effectiveness of using the wavelet transform method to identify and measure the amplitudes of individual guided wave modes.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• 한국정보통신학회논문지
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• 제6권2호
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• pp.207-213
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• 2002

지문은 개인마다 서로 다르고 평생 변하지 않는 특성이 있다. 그리고 식별 성능에 대한 신뢰도와 보안성이 높아 여러 생체인식분야에 보편적으로 적용되고 있으며 본인임을 인증할 수 있는 가장 우수 한 방법으로 주목받고 있다 본 논문에서는 현재 빠른 속도로 발전하고 대중화되어 가고 있는 인터넷에 기반한 전자상거래, 인터넷뱅킹, 주식거래, 쇼핑몰 등의 서비스 이용시 본인인증의 신뢰도를 높이기 위해 웹 사이트 로그인에 개인 지문인증을 적용한다. 본 논문에서 구현한 지문인증을 이용한 웹 사이트 로그인 시스템은 지문인증을 위한 임베디드 모듈, 웹 서버, 그리고 웹 사이트로 구성된다. 본 논문에서는 지문인증을 웹 서버에서 수행하는 기존 시스템과는 달리 클라이언트 측에서 지문인증을 수행함으로써 서버의 부하를 줄일 수 있게 하였다. 그리고 지문인증의 성공 없이는 웹 사이트 로그인을 차단함으로써 본인인증이 필요한 인터넷 서비스의 신뢰도를 높이 수 있을 것이다.