• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.66-66
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• 2022

속성수로 활용되는 버드나무속 식물들은 생식기관과 영양기관의 성장 시기가 달라 형태적 특성 평가를 위해 수년간의 조사 기간이 요구된다. 따라서 바이오매스 우수 버드나무속 교잡종 육성의 성공 여부를 조기 판별하기 위한 식별 기술이 필요하다. DNA 마커는 식물의 생장단계와 관련 없이 탐색할 수 있으며 환경에 영향을 받지 않는 장점이 있다. 식물의 계통 분류 시 주로 사용되는 엽록체 DNA는 유전자 염기서열의 변이가 비교적 크지 않은 장점이 있으나 대부분의 활엽수에서 모계를 통해 유전되는 특징이 있다. 하지만 종간 교잡종의 식별은 각각의 부모종과 구분할 수 있어야 하므로 본 연구는 엽록체 DNA가 아닌 핵 DNA를 대상으로 분석하였다. 본 연구의 목적은 호랑버들을 암나무로 갯버들을 수나무로 인공교배하여 육성된 종간 교잡종을 식별하는 핵 DNA 마커를 탐색하는 것이다. 이를 위해 버드나무속에서 개발된 총 35개의 nSSR (nuclear Simple Sequence Repeat) 마커를 대상으로 호랑버들과 갯버들, 종간 교잡종의 식별 가능성을 평가하였다. 분석 결과 호랑버들과 갯버들, 종간 교잡종 간 차이를 나타내는 2개의 핵 DNA 마커를 선발하였다. 따라서 선발된 핵 DNA 마커를 활용하여 호랑버들과 갯버들, 종간 교잡종의 조기 식별에 활용이 가능할 것으로 사료된다.

• Korean Journal of Plant Resources
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• v.35 no.2
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• pp.346-361
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• 2022

Food poisoning accidents caused by poisonous plants occur every year. As certain poisonous plants are mistaken for edible plants causing food poisoning, accurate species identification of poisonous plants is required. DNA barcodes suitable for species identification of poisonous plants and database that can be used for accurate species identification are necessary for their use in forensic cases. In this study, species identification of 19 poisonous plants native to Jeju Island using seven DNA barcodes (trnH-psbA, trnL-trnF, trnL intron, rbcL, matK, ITS1-ITS4, 18S rRNA) was performed to construct a database containing sequence information and DNA barcode universality. trnL-trnF barcode and ITS1-ITS4 barcode were the easiest markers for PCR amplification and sequence retrieval, and the combination of the two barcodes enabled single species identification in 18 out of 19 plants. Therefore, when an investigation of unknown poisonous plants is requested, combination of trnL-trnF and ITS1-ITS4 barcodes is considered as a primary marker for species identification. The database of recommended DNA barcodes for each poisonous plant presented in this study will be helpful in plants poisoning cases.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.2
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• pp.70-82
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• 2016

We investigated the vegetation structure in Cultural Heritage Site of Odaesan National Park using 52 quadrats for each type of land use to figure out some characteristics of plant biotope. As we classified vegetation communities, they are six groups of communities. distinguished species in two of them are Taraxacum officinal, Erigeron annuus and Poa pratensis which are common in urban areas. Distinguished species in one of them are Potentilla fragarioides var. major which is common in outskirt of forest. And Distinguished species in another 3 communities are Sasa borealis and Quercus mongolica which are common in forest. Using TWINSPAN and DCA, we are able to classify the six communities into 3 types biotope (temple-biotope, slope-biotope, forest-biotope) in Cultural Heritage Site. The dominant species of urban-biotope are Poa pratensis, Artemisia prinseps and that of slope-biotope is Tripterygium regelii. Also the dominant species of forest-biotope are Quercus mongolica, Abies holophylla and Ulmus davidiana var. japonica. We could see more species in slope-biotope than another biotope types. Moreover, in urban-biotope types, we could find many of naturalized plant species.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.175-187
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• 2011

Since insects play important roles in existence of plants and other animals in the natural environment, they are considered as necessary biological resources from the perspectives of those biodiversity conservation and national utilization strategy. For the conservation and utilization of insect species, an observational learning environment is needed for non-experts such as citizens and students to take interest in insects in the natural ecosystem. The insect identification is a main factor for the observational learning. A current time-consuming search method by insect classification is inefficient because it needs much time for the non-experts who lack insect knowledge to identify insect species. To solve this problem, we proposed an smart phone-based insect identification inference system that helps the non-experts identify insect species from observational characteristics in the natural environment. This system is based on the similarity between the observational information by an observer and the biological insect characteristics. For this system, we classified the observational characteristics of insects into 27 elements according to order, family, and species, and proposed similarity indexes to search similar insects. In addition, we developed an insect identification inference prototype system to show this study's viability and performed comparison experimentation between our system and a general insect classification search method. As the results, we showed that our system is more effective in identifying insect species and it can be more efficient in search time.

• Korean Journal of Environment and Ecology
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• v.13 no.3
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• pp.220-233
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• 1999

본 연구는 서열법(교호평균법)과 ZM학파의 식물사회학적 연구방법에 의해 대구, 구미, 김천 근처의 팔공산, 금오산, 황악산 일대의 참나무류 삼림을 분류하고 그 환경조건을 해석할 목적으로 실시되었다 교호평균법에서 추출된 stand의 제 1축상의 종의 배열은 식물사회학적 군락분류의 표징종이나 식별종의 후보 종군을 추출하는데 매우 효과적이었다. 이결과와 타지역과 본 연구지역의 낙엽수림의 조성을 비교 검토한 결과 이하의 2군집, 1군락, 2아군집을 식별하였다. 너도밤나무군강(Fagetea crenatae Miyawaki et al. 1968) ; 당단풍-신갈나무목(Acero-Quercetalia mongolicae Song 1988); 조록싸리-졸참나무군단(Lespedezo-Quercion ser-1-1 때죽나무아군집(Styracetosum japonicae subassoc. nov) 1-2 전형아군집(typicum subassoc. ) (Ainsliaeo-Quercetum mongolicae assoc. nov.) 3. 신갈나무-시닥나무군락(Quercus mongolica-Acer teschonoskii var, rubripes community) 본연구에서 식별된 군단은 우리나라의 냉온대 낙엽활엽수림의 북부형과 남부형에 대응하는 것으로 해석되었다. 서열법에 의해 계산된 제 1축과 제2축상에의 stand의 배열은 인위와 해발과 같은 환경경도상의 계열을 나타내었다. 이상의 연구와 함께 본 연구와 관련되는 사항으로 우리나라의 냉온대림의 군락분류학적 문제점을 종조성론의 입장에서 논하였다.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.15-29
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• 2004

With the rapid growth of information technology and the internet. the physical contents are transformed into digital contents at a fast rate. With the change. accessing the digital contents, toe service methods and the identifier used for the digital contents are not systematic and limited for use. The DOI identifier system used for the URN is also limited to academic journals or magazines and are not adequately applicable for non-academic journal or digital contents. Therefore. we have developed a unique identifier based on the analysis made on the system adopted by foreign digital contents service institutes. two types of academic journals 3 types of non-academic journals owned by KISTI that can be adopted by non-academic journals. The identifier is to be used to design and implement a digital contents service system.

• Journal of Life Science
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• v.17 no.10
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• pp.1441-1446
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• 2007

This study was conducted to establish the individual identification system and to estimate the genetic characteristic of Jeju native horse (JNH) using 13 microsatellite markers located on different horse autosomes. The markers were genotyped on 191 animals from five horse breeds including Jeju native horse (JNH). In total, 138 alleles were detected from the genotypes of 13 microsatellite markers. The average heterozygosities ranged from 0.317 to 0.902 and the polymorphic information content (PIC) ranged from 0.498 to 0.799 in JNH. We found that there were significant differences in allele frequencies in JNH when compared with other horse breeds. In ATH4 marker, there were specific allele frequence pattern that some of allele only found in JNH, Mongolian horse (MONG) and Jeju racing horse (JRH). The calculated cumulative power of discrimination (CPD) was 99.9% when nine microsatellite loci were used for analysis in the individual identification system. Also, the matching probability that two unrelated animals would show the same genotypes, was estimated to be $0.60{\times}10^{-10}$. Therefore, in the nine markers used in this study can be used for individual identification in the Jeju native horse population.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.456-461
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• 2008

클래스별 원형상(prototype)의 분포가 선형분리 불가능하고 동시에 분산이 서로 다르고 희박한 분포의 원형상에 있어서 입력패턴에 대한 고정밀도의 식별을 행하기 위해 클래스별 최근방 원형상과 그 k 근방 원형상에 있어서 노름(norm) 평균에 기초한 최근방 결정법에 의한 패턴식별방법을 제안한다. 제안하는 방법의 유효성을 평가하기위해 인공적인 패턴과 실제 패턴에 대해 일반적인 k-NN법, 매해라노비스 거리(maharanobis distance), CAP, kCAP, SVM의 각각에 기초한 방법과 제안하는 방법을 적용하여 식별률에 의한 평가를 행하였다. 그 결과 특히, 원형상의 분포가 희박한 경우 제안하는 방법이 다른 방법들에 비해 높은 식별률을 나타냈다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.264-265
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• 2014

불법적으로 생성된 디지털 콘텐츠의 저작권의 보호를 위하여 콘텐츠 식별 작업이 필요하다. 스캔된 불법 만화 도서의 경우 콘텐츠 식별을 위하여 이를 위해 특별히 제작된 핑거프린트가 필요하다. 핑거프린트를 통한 저작물의 식별률을 높이기 위해서 는 스캔 만화 이미지의 전처리 과정이 필요하다. 본 논문에서는 종이 만화도서가 스캐너를 통해 이미지로 전환되는 과정에서 스캐너에 의해 일어나는 광도 왜곡을 최소화하여 만화 도서의 식별률을 높이고자 하였다. 실험을 통해 약 27%의 식별율의 개선을 얻었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.7-13
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• 2022

Radio frequency fingerprinting refers to a methodology that extracts hardware-specific characteristics of a transmitter that are unintentionally embedded in a transmitted waveform. In this paper, we put forward a fingerprinting feature and deep learning structure that can identify the same type of Digital Mobile Radio(DMR) by inputting the in-phase(I) and quadrature(Q). We proposes using the magnitude in polar coordinates of I/Q as RF fingerprinting feature and a modified ResNet-1D structure that can identify them. Experimental results show that our proposed modified ResNet-1D structure can achieve recognition accuracy of 99.5% on 20 DMR.