• 식물병연구
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• 제22권3호
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• pp.194-197
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• 2016

Chinese yam necrotic mosaic virus (CYNMV) is one of the most widespread viruses in Chinese yam (Dioscorea opposita Thunb.) and causes serious yield losses. Currently, genetic information of CYNMV is very restricted and complete genome sequences of only two isolates (one from Japan and another from China) have been reported. In this study, we determined complete genome sequence of the CYNMV isolate AD collected from Andong, Korea. Genetic analysis of the polyprotein amino acid sequence revealed that the Korean isolate AD has high similarity with the Japanese isolate PES3 (97%) but relatively low similarity with the Chinese isolate FX1 (78%). Phylogenetic analysis using the CYNMV 3' proximal nucleotide sequences harboring the coat protein and 3' untranslated region further supported genetic relationship among the CYNMV isolates. Based on comparative analysis of the CYNMV genome sequences determined in this study and other previous studies, we generated molecular detection primers that are highly specific and efficient for CYNMV diagnosis.

• 대한수의학회지
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• 제60권3호
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• pp.109-116
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• 2020

This study aimed to develop a semi-nested polymerase chain reaction assay for the direct detection of Mycoplasma synoviae (M. synoviae) from clinical samples using three newly designed oligonucleotide primers specific to the variable lipoprotein haemagglutinin (vlhA) gene and differentiate M. synoviae field strains based on a nucleotide deletion or the insertion of the proline-rich repeat (PRR) region of the vlhA gene. The developed semi-nested polymerase chain reaction (PCR) assay revealed positive results in 12 out of 100 clinical samples collected from chickens showing lameness and joint swelling. Six positive samples were selected randomly for sequencing, and sequence analysis revealed 96.3-100% nucleotide identities compared to the reference sequences. Phylogenetic analysis showed that sequences of the strains in this study were closely related to WVU1853 (Spain), CK.MS.UDL.PK.2014.2 (Pakistan), and F10-2AS (USA) strains, but they were distinct from the M. synoviae-H vaccine strain sequence. M. synoviae obtained from these samples were identified as types A and C with a length of 38 and 32 amino acids, respectively. These results indicated that the specific and sensitive semi-nested PCR could be a useful diagnostic tool for the direct identification of clinical samples, and the sequence analysis of the partial vlhA gene can be useful for typing M. Synoviae.

• Journal of Information Processing Systems
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• 제13권5호
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• pp.1213-1228
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• 2017

The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method; this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

• 지능정보연구
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• 제25권3호
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• pp.43-62
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• 2019

한때, 이상 탐지 분야는 특정 데이터로부터 도출한 기초 통계량을 기반으로 이상 유무를 판단하는 방법이 지배적이었다. 이와 같은 방법론이 가능했던 이유는 과거엔 데이터의 차원이 단순하여 고전적 통계 방법이 효과적으로 작용할 수 있었기 때문이다. 하지만 빅데이터 시대에 접어들며 데이터의 속성이 복잡하게 변화함에 따라 더는 기존의 방식으로 산업 전반에 발생하는 데이터를 정확하게 분석, 예측하기 어렵게 되었다. 따라서 기계 학습 방법을 접목한 SVM, Decision Tree와 같은 모형을 활용하게 되었다. 하지만 지도 학습 기반의 모형은 훈련 데이터의 이상과 정상의 클래스 수가 비슷할 때만 테스트 과정에서 정확한 예측을 할 수 있다는 특수성이 있고 산업에서 생성되는 데이터는 대부분 정답 클래스가 불균형하기에 지도 학습 모형을 적용할 경우, 항상 예측되는 결과의 타당성이 부족하다는 문제점이 있다. 이러한 단점을 극복하고자 현재는 클래스 분포에 영향을 받지 않는 비지도 학습 기반의 모델을 바탕으로 이상 탐지 모형을 구성하여 실제 산업에 적용하기 위해 시행착오를 거치고 있다. 본 연구는 이러한 추세에 발맞춰 적대적 생성 신경망을 활용하여 이상 탐지하는 방법을 제안하고자 한다. 시퀀스 데이터를 학습시키기 위해 적대적 생성 신경망의 구조를 LSTM으로 구성하고 생성자의 LSTM은 2개의 층으로 각각 32차원과 64차원의 은닉유닛으로 구성, 판별자의 LSTM은 64차원의 은닉유닛으로 구성된 1개의 층을 사용하였다. 기존 시퀀스 데이터의 이상 탐지 논문에서는 이상 점수를 도출하는 과정에서 판별자가 실제데이터일 확률의 엔트로피 값을 사용하지만 본 논문에서는 자질 매칭 기법을 활용한 함수로 변경하여 이상 점수를 도출하였다. 또한, 잠재 변수를 최적화하는 과정을 LSTM으로 구성하여 모델 성능을 향상시킬 수 있었다. 변형된 형태의 적대적 생성 모델은 오토인코더의 비해 모든 실험의 경우에서 정밀도가 우세하였고 정확도 측면에서는 대략 7% 정도 높음을 확인할 수 있었다.

• 한국식물병리학회지
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• 제14권4호
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• pp.314-318
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• 1998

Using the reverse transcription polymerase chain reaction (RT-PCR), a rapid and sensitive assay method for the detection and identification of barley yellow mosaic virus (BaYMV) and barley mild mosaic virus (BaMMV) was adapted. Two units of primers from each virus were selected and used for the determination of two different viruses. PCR fragments of BaYMV (ca. 0.9kb) and BaMMV (ca. 0.8kb) were obtained from the designed method for the assay of BaYMV and BaMMV coat protein. PT-PCR fragments were cloned using vector pT7 Blue and the sequences of the selected clones were analyzed. coat protein of BaYMV and that of BaMMV consisted of 297 amino acids (891 nucleotides) and 251 amino acids (753 nucleotides), respectively. The snalysis of coat protein genes from these two viruses showed that 45.6% of nucleotides sequence ad 34.9% of amino acid in BaYMV were homologous to those in BaMMV.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1992년도 춘계학술대회
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• pp.121-122
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• 1992

We present a new EEG waveform detection method, based on the search of distinctive line-segments. The method is based on the assumption that EEG waveform morphology is characterized by a sequence of its distinctive line-segments and their structural features. In this method, the distinctive line segments are first searched for, and the structural feature analysis is performed on the found line-segment sequence. Experiments of detecting epileptic spikes are performed on four different subjects.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.425-428
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• 2003

Recently, the IDS(Intrusion Detection System) using a video camera is an important part of the home security systems which start gaining popularity. However, the video intruder detection has not been widely used in the home surveillance systems due to its unreliable performance in the environment with abrupt illumination change. In this paper, we propose an effective moving edge extraction algorithm from a sequence image. The proposed algorithm extracts edge segments from current image and eliminates the background edge segments by matching them with reference edge list, which is updated at every frame, to find the moving edge segments. The test results show that it can detect the contour of moving object in the noisy environment with abrupt illumination change.

• Bulletin of the Korean Chemical Society
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• 제31권9호
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• pp.2537-2541
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• 2010

We chose a fluorescent pentapeptide sensor (-CPGHE) containing a dansyl fluorophore as a model peptide and investigated whether the selectivity and sensitivity of the peptides for heavy and transition metal ions could be tuned by changing amino acid sequence. In this process, we developed a selective peptide sensor, Cp1-d (-HHPGE, $K_d\;=\;670\;nM$) for detection of $Zn^{2+}$ in 100% aqueous solution and a selective and sensitive peptide sensor, Cp1-e (-CCHPGE, $K_d\;=\;24\;nM$) for detection of $Cd^{2+}$ in 100% aqueous solution. Overall results indicate that the selectivity and sensitivity of the metallopeptide sensors to specific heavy and transition metal ions can be tuned by changing amino acid sequence.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2237-2239
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• 1998

A limitation is assumed that In this paper, a generalized method is proposed to extract a period of a motion of on object. To detect a periodic motion, we put restrictions on a stationary camera and on a motion of an object. We ca derive the necessary and sufficient condition that an image sequence consists of the projection of the periodic motion by the affine transformation that is a reasonally good approach to the perspective projection. The difficulty of detecting its periodic motion is to select its have period in sequence and to define its width.

• 한국지능시스템학회논문지
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• 제9권5호
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• pp.538-544
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• 1999

본 논문에서는 송전선로의 보호를 위하여 적응형 퍼지 시스템을 도입하여 고장 유형 판별부와 고장점 추정부의 두 부분으로 구성된 새로운 고장검출기법을 개발하였다. 제안된 시스템의 퍼지 입력변수로는 전류의 정상분과 영상분 그리고 실효치를 선정하였으며 신경회로망의 학습방법에 의하여 전건부와 후건부가 적절하게 조정되었다. 제시된 기법의 효용성을 입증하기 위하여 전자과도 해석 프로그램인 EMTP로부터 수집된 데이터를 활용하였다. 시뮬레이션 결과 제안된 기법은 고장유형이 정확하게 판별되었으며 고장점 추정이 개선되었다.