• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.233-242
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• 2018

Previous works for detecting arrhythmia have mostly used nonlinear method such as artificial neural network, fuzzy theory, support vector machine to increase classification accuracy. Most methods require higher computational cost and larger processing time. Therefore it is necessary to design efficient algorithm that classifies PVC(premature ventricular contraction) and decreases computational cost by accurately detecting feature point based on only R peak through optimal R wave. For this purpose, we detected R wave through optimal threshold value and extracted RR interval and R peak pattern from noise-free ECG signal through the preprocessing method. Also, we classified PVC in realtime through RR interval and R peak pattern. The performance of R wave detection and PVC classification is evaluated by using 9 record of MIT-BIH arrhythmia database that included over 30. The achieved scores indicate the average of 99.02% in R wave detection and the rate of 94.85% in PVC classification.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.167-177
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• 2004

본 논문에서는 LC/MS 데이터로부터 동위 원소 패턴(isotope pattern)을 찾는 새로운 방법을 제시하고자 한다. 기존의 분석 방법에서는 LC/MS 데이터를 1차원적으로 분석하고 있기 때문에 2차원에서 적용할 수 있는 알고리즘을 적용하기가 어렵다. LC/MS 데이터를 2차원 영상으로 가시화해 본 결과, 하나의 동위 원소 패턴에 속하는 단일 동위 원소 피크(single isotope peak)는 모양, 크기와 같은 2차원 형태적 특징들도 유사함을 알 수 있다. 따라서, 기존의 방법들이 질량 스펙트럼과 같은 1차원 신호를 분석하는 것에 중점을 둔 것에 비해, 본 논문에서는 LC/MS 데이터를 2차원 신호 즉, 영상(image)으로 간주하고 영상 처리 방법과 객체 인식 방법을 적용하였다. 실험 결과 같은 동위 원소 패턴에 속하는 각각의 단일 동위원소 피크들 사이에 peak maxima position 뿐만 아니라 skewness, variance등도 유사였으며 이러한 유사도를 기반으로 동위 원소 패턴을 찾을 수 있었다.

• Proceedings of the KIEE Conference
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• 2006.07e
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• pp.53-54
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• 2006

본 논문에서는 유도전동기의 고정자권선 고장진단을 목적으로 이상적인 전동기의 전류신호와 실시간으로 운전하고 있는 전동기 전류신호를 Park's Vector에 각각 적용시켜 Park's Vector 패턴을 만들고 패턴 피크값의 기준치와 측정치의 편차를 이용하여 오차치를 벗어날 때 고장으로 진단하는 Park's Vector 패턴의 피크값을 이용한 고정자권선의 고장진단을 시도하였다. 숙달된 작업자가 Park's Vector패턴을 보고 고장을 분석해야 했던 방법과는 달리 패턴을 비교하지 않고도 자동으로 고장을 진단하고 경보해주는 진단 방법을 제시하였다. 실제 전류분석 및 진단을 위해 상용 프로그램인 LabVIEW를 이용하였다.

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.107-114
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• 2010

A guitar, a piano, and a violin are popular musical instruments for User Created Contents(UCC). However the patterns of audio signal generated by a guitar and a piano are too similar to differentiate. The difference between two musical instruments can be found by analyzing the frequency variation per each band near signal peaks. The distribution of probability on the existence of signal peaks based on Cumulative Histogram were applied to musical instrument recognition. Experiments with statistical models of the frequency variation per each band near signal peaks showed the 14% improvement of musical instrument recognition.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.153-158
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• 2001

본 논문에서는 해프톤 패턴의 간섭현상으로 발생하는 모아레 패턴을 효과적으로 제거할 수 있는 새로운 모아레 패턴 평활화 방법을 제시한다. 제안한 방법에서는 모아레 패턴이 존재하는 영역에 대해서만 그 세기에 따라 평활화 정도를 적극적으로 조정해 주기 때문에, 모아레 패턴을 효과적으로 제거하면서 경계나 텍스쳐 같은 의미있는 고주파 성분도 잘 보존할 수 있다. 또한 기존의 방법과 달리 퓨리에 변환과 같은 추가 연산을 필요로 하지 않고 미리 만들어진 테이블을 참조하는 과정만으로 모아레 피크의 세기를 결정하기 때문에 연산 시간 측면에 서로 효율적이다. 제안한 방법은 칼라 인쇄물을 다루는 다양한 멀티미디어 분야에서 유용하게 활용될 수 있다.

• Horticultural Science & Technology
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• v.28 no.4
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• pp.656-663
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• 2010

In order to improve the consumer acceptance of fragrant yellow hybrids of $Phalaenopsis$ ($Phal.$), crosses between yellow hybrid varieties were made and the obtained hybrids were investigated for horticultural characteristics as well as difference in fragrance patterns. Cross combination of $Phal.$ Brother lawrence and $Phal.$ Brother saragold yielded good seedling population of 500 plants. Segregation was noticed in color density, spot and stripe patterns on yellow color base of petal and also in fragrance. Six lines with multi-branch on flower stalk and strong fragrance flower were finally selected. Volatile fragrance components were compared among $Phal.$ Brother lawrence, $Phal.$ Brother saragold and their hybrids by GC/SAW electronic nose. In the derivative pattern of chromatogram and polar derivative pattern of fragrance, similar dominant peaks appeared on retention time 7-9 s and some hybrid lines had two strong peaks on retention time 20-25 s, respectively. Also in polar frequency pattern of fragrance obtained by $VaporPrint^{TM}$ image analysis among parent flowers and hybrids, an identical strong peak near 8 s of retention time was shown. This single fragrance component is considered a key element of fragrance in $Phal.$ Brother lawrence, $Phal.$ Brother saragold and their hybrids. This peak could be used as a marker for the breeding of fragrance in $Phalaenopsis$.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.12
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• pp.1324-1335
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• 1991

In this paper, a phoneme separation and an establishment of discriminative pattern of Korean phonemes are studied on experiment. The separation uses parameters such as pitch extraction, glottal peak pulse width of each pitch. speech duration. envelope and amplitude bias. The first pitch is extracted by deviations of glottal peak and width. energy and normalization on a bias on the top of vowel envelope. And then, it traces adjacent pitch to vowel in whole. On vewel, amethod to be reduced gliding pattern and the possible of vowel distinction to be used just second formant are proposed, and shrinking pitch waveform has nothing to do with pitch length is estimated. A pattern of envelope, spectrum, shrinking waveform, and a method of analysis by mutual relation among phonemes and manners of articulation on consonant are detected. As experimental results, 90% on vowel phoneme, 80% and 60% on initial and final consonant are discriminated.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.192-200
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• 2015

Several algorithms have been developed to classify arrhythmia which rely on specific ECG(Electrocardiogram) database. Nevertheless personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. Most methods require accurate detection of P-QRS-T point, higher computational cost and larger processing time. But it is difficult to detect the P and T wave signal because of person's individual difference. Therefore it is necessary to classify the pattern by analyzing personalized ECG signal and extracting minimal feature. Thus, QRS pattern Analysis of personalized ECG Signal by Q, R, S peak variability is presented in this paper. For this purpose, we detected R wave through the preprocessing method and extract eight feature by amplitude and phase variability. Also, we classified nine pattern in realtime through peak and morphology variability. PVC, PAC, Normal, LBBB, RBBB, Paced beat arrhythmia is evaluated by using 43 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 93.72% in QRS pattern detection classification.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.29 no.1
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• pp.57-67
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• 2000

최근 국민소득수준의 향상을 따라 여름철 전력 수요가 폭증하므로 전력안정 공급을 위한 특별 대책이 필요한 실정이고 환경적인 측면이나 수용가 입장에서 만족스러운 새로운 냉·난방, 전기 공급시스템의 개발·적용이 필요하다. 선진국의 경우, 소규모의 집단에너지 공급이 주류를 이루고 있으며 특히 소규모 열병합 발전시 생산되는 전기, 지역난방열 이외에 냉방에 필요한 냉수를 중앙열원에서 동빌딩을 중심으로하는 구역형 집단에너지 시스템(Community Energy Supply System)등 소규모지역 난냉방 공급방식이 활성화되어 있으므로, 우리나라에서도 냉방/난방/전기부하 패턴 및 하절기 피크부하 경감에 대한 기여도 등을 고려한 경제성있는 최적시스템 구성이 가능한지 검토할 필요가 있다. 소규모 집단에너지사업은 대규모 사업과는 달리 적정 수요예측이 가능하므로 효율적인 초기 투자가 이루어질 수 있으며, 상업용 및 사업용 빌딩 등을 중심으로 부하밀도가 높은 구역을 대상으로 하명서 해당 부하패턴에 적합한 효율적인 시스템의 구성을 통해 수익성이 확보된다면 국가 에너지절약 및 한전의 여름철 전력 피크부하 경감, 대기 환경공해 감소, 도심 도시미관 향상 등의 사업효과가 기대된다. 본문에서는 이러한 소규모 집단에너지시스템 개요 및 국내외 공급 현황, 국내 적용환경, 적용 가능에너지 검토 열원시스템의 기본방향 등에 대하여 언급하고자 한다.

• Journal of Korea Multimedia Society
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• v.4 no.2
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• pp.116-129
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• 2001

To improve the performance of the inverse halftoning, smoothing masks should be designed optimally by using the accurate information of halftone cells. In this thesis, the method of energy minimization is so defined as to determine the exact information of halftone cell. A heuristic search method is proposed to obtain efficiently the parameters of halftone cells which determine the minimum energy. A halftone-peak modeling method with several functions is proposed and used to get initial values of the parameters. The dimension decomposition technique is also adopted to speed up the search process of energy minimization. Several experiments show that the proposed method extracts correct location of the seed pixel of the halftone cell and the extracted information of the halftone cell can be used to get more exactly smoothed color images. The proposed method can be applied to extract the texture patterns, to separate channel images of a scanned color halftone image, and to extract the moire area in an image.