• 제목/요약/키워드: Modified k-means algorithm

검색결과 100건 처리시간 0.033초

평균회귀 심박변이도의 K-평균 군집화 학습을 통한 심실조기수축 부정맥 신호의 특성분석 (Characterization of Premature Ventricular Contraction by K-Means Clustering Learning Algorithm with Mean-Reverting Heart Rate Variability Analysis)

  • 김정환;김동준;이정환;김경섭
    • 전기학회논문지
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    • 제66권7호
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    • pp.1072-1077
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    • 2017
  • Mean-reverting analysis refers to a way of estimating the underlining tendency after new data has evoked the variation in the equilibrium state. In this paper, we propose a new method to interpret the specular portraits of Premature Ventricular Contraction(PVC) arrhythmia by applying K-means unsupervised learning algorithm on electrocardiogram(ECG) data. Aiming at this purpose, we applied a mean-reverting model to analyse Heart Rate Variability(HRV) in terms of the modified poincare plot by considering PVC rhythm as the component of disrupting the homeostasis state. Based on our experimental tests on MIT-BIH ECG database, we can find the fact that the specular patterns portraited by K-means clustering on mean-reverting HRV data can be more clearly visible and the Euclidean metric can be used to identify the discrepancy between the normal sinus rhythm and PVC beats by the relative distance among cluster-centroids.

새로운 고속 EM 알고리즘 (A New Fast EM Algorithm)

  • 김성수;강지혜
    • 한국정보과학회논문지:시스템및이론
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    • 제31권10호
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    • pp.575-587
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    • 2004
  • 본 논문은 여러 분야에서 활용될 수 있는 향상된 고속 Expectation-Maximization(FEM) 알고리즘을 제안한다. 첫째, EM의 초기값 설정의 방법으로 많이 사용되고 있는 클러스터링 기법인 K-means의 문제점을 해결하여 개선된 EM의 초기값 선정에 적용하였다. 이것은 기존 K-means 알고리즘에서 임의로 지정하던 랜덤한 초기값 선정을, 데이타 분포 특성을 이용한 균등 분할법을 사용하여 EM의 초기값 문제를 해결하였다. 둘째, EM 과정의 핵심을 이루는 후행 확률(Posterior)의 의미를 부각하여 최대 가능성 후행 확률(Maximum Likelihood Posterior: MLP)과정을 적용하였다. 최종적으로, 본 논문에서 제안한 고속 EM알고리즘(FEM)은 근본적으로 해결하기 못했던 기존의 EM 초기치 선정과 수렴에 대한 문제점을 개선함으로써, EM 알고리즘의 특성을 극대화하는 방향으로 상대적으로 마른 수렴과 향상된 결과를 가져온다. 제안된 알고리즘의 객관적 타당성을 위해 기존의 방법과 제안된 방법에 의한 시뮬레이션의 결과를 여러 데이타들을 가지고 비교 분석하여 제안한 알고리즘의 우수성을 입증하였다.

Optical Emission Spectra 신호와 다변량분석기법을 통한 Fluorocarbon에 의해 오염된 반응기의 RF 플라즈마 세정공정 진단 (RF Plasma Processes Monitoring for Fluorocarbon Polluted Plasma Chamber Cleaning by Optical Emission Spectroscopy and Multivariate Analysis)

  • 장해규;이학승;채희엽
    • 한국표면공학회:학술대회논문집
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    • 한국표면공학회 2015년도 추계학술대회 논문집
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    • pp.242-243
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    • 2015
  • Fault detection using optical emission spectra with modified K-means cluster analysis and principal component anal ysis are demonstrated for inductive coupl ed pl asma cl eaning processes. The optical emission spectra from optical emission spectroscopy (OES) are used for measurement. Furthermore, Principal component analysis and K-means cluster analysis algorithm is modified and applied to real-time detection and sensitivity enhancement for fluorocarbon cleaning processes. The proposed techniques show clear improvement of sensitivity and significant noise reduction when they are compared with single wavelength signals measured by OES. These techniques are expected to be applied to various plasma monitoring applications including fault detections as well as chamber cleaning endpoint detection.

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A Modified Perturb and Observe Sliding Mode Maximum Power Point Tracking Method for Photovoltaic System uUnder Partially Shaded Conditions

  • Hahm, Jehun;Kim, Euntai;Lee, Heejin;Yoon, Changyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권4호
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    • pp.281-292
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    • 2016
  • The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

A Hybrid Multiuser Detection Algorithm for Outer Space DS-UWB Ad-hoc Network with Strong Narrowband Interference

  • Yin, Zhendong;Kuang, Yunsheng;Sun, Hongjian;Wu, Zhilu;Tang, Wenyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권5호
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    • pp.1316-1332
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    • 2012
  • Formation flying is an important technology that enables high cost-effective organization of outer space aircrafts. The ad-hoc wireless network based on direct-sequence ultra-wideband (DS-UWB) techniques is seen as an effective means of establishing wireless communication links between aircrafts. In this paper, based on the theory of matched filter and error bits correction, a hybrid detection algorithm is proposed for realizing multiuser detection (MUD) when the DS-UWB technique is used in the ad-hoc wireless network. The matched filter is used to generate a candidate code set which may contain several error bits. The error bits are then recognized and corrected by an novel error-bit corrector, which consists of two steps: code mapping and clustering. In the former step, based on the modified optimum MUD decision function, a novel mapping function is presented that maps the output candidate codes into a feature space for differentiating the right and wrong codes. In the latter step, the codes are clustered into the right and wrong sets by using the K-means clustering approach. Additionally, in order to prevent some right codes being wrongly classified, a sign judgment method is proposed that reduces the bit error rate (BER) of the system. Compared with the traditional detection approaches, e.g., matched filter, minimum mean square error (MMSE) and decorrelation receiver (DEC), the proposed algorithm can considerably improve the BER performance of the system because of its high probability of recognizing wrong codes. Simulation results show that the proposed algorithm can almost achieve the BER performance of the optimum MUD (OMD). Furthermore, compared with OMD, the proposed algorithm has lower computational complexity, and its BER performance is less sensitive to the number of users.

Clarifying Warhead Separation from the Reentry Vehicle Using a Novel Tracking Algorithm

  • Liu Cheng-Yu;Sung Yu-Ming
    • International Journal of Control, Automation, and Systems
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    • 제4권5호
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    • pp.529-538
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    • 2006
  • Separating a reentry vehicle into warhead and body is a conventional and efficient means of producing a huge decoy and increasing the kinetic energy of the warhead. This procedure causes the radar to track the body, whose radar cross section is larger, and ignore the warhead, which is the most important part of the reentry vehicle. However, the procedure is difficult to perform using standard tracking criteria. This study presents a novel tracking algorithm by integrating input estimation and modified probabilistic data association filter to solve this difficulty in a clear environment. The proposed algorithm with a new defined association probability in this filter provides a good tracking capability for the warhead ignoring the radar cross section. The simulation results indicate that the errors between the estimated and the warhead trajectories are reduced to a small interval in a short time. Therefore, the radar can produce a beam to illuminate to the right area and keep tracking the warhead all the way. In conclusion, this algorithm is worthy of further study and application.

페이지랭크를 이용한 암환자의 이질적인 예후 유전자 식별 및 예후 예측 (Identification of Heterogeneous Prognostic Genes and Prediction of Cancer Outcome using PageRank)

  • 최종환;안재균
    • 정보과학회 논문지
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    • 제45권1호
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    • pp.61-68
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    • 2018
  • 암환자의 예후 예측에 기여하는 유전자를 찾는 것은 환자에게 보다 적합한 치료를 제공하기 위한 도전 과제 중 하나이다. 예후 유전자를 찾기 위해 유전자 발현 데이터를 이용한 분류 모델 개발 연구가 많이 이루어지고 있다. 하지만 암의 이질성으로 인해 예후 예측의 정확도 향상에 한계가 있다는 문제가 있다. 본 논문에서는 유방암을 비롯한 6개의 암에 대한 암환자의 마이크로어레이 데이터와 생물학적 네트워크 데이터를 이용하여 페이지랭크 알고리즘을 통해 예후 유전자들을 식별하고, K-Nearest Neighbor 알고리즘을 사용하여 암 환자의 예후를 예측하는 모델을 제안한다. 그리고 페이지랭크를 사용하기 전에 K-Means 클러스터링으로 유전자 발현 패턴이 비슷한 샘플들을 나누어 이질성을 극복하고자 한다. 본 논문에서 제안한 방법은 기존의 유전자 바이오마커를 찾는 알고리즘보다 높은 예측 정확도를 보여 주었으며, GO 검증을 통해 클러스터에 특이적인 생물학적 기능을 확인하였다.

능동동조질량감쇠기와 수정 PPF 제어기를 이용한 구조물의 능동진동제어 (Active Vibration Control of Structure Using Active Tuned Mass Damper and Modified PPF Controller)

  • 김기영;곽문규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.550-555
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    • 2007
  • This paper is concerned with the active vibration control of building structure by means of the active tuned mass damper and the modified positive position feedback controller. To this end, one-degree-of-freedom spring-mass-damper system equipped with ATMD is considered. The stability condition for the addressed system when applying the proposed PPF controller is derived by Routh-Hurwitz stability criterion. The stability condition shows that the modified PPF controller is absolutely stable if the controller gain is positive, so that the modified PPF controller can be used without difficulty. Theoretical study shows that the modified PPF controller can effectively suppress vibrations as the original PPF controller does in smart structure applications. To investigate the validity of the modified PPF controller, a simple experimental structure with an ATMD system driven by DC motor was built. The modified PPF control algorithm was implemented on Atmel 128 microcontroller. The experimental result shows that the modified PPF controller can also suppress vibrations for the real structure.

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능동동조질량감쇠기와 수정 PPF 제어기를 이용한 구조물의 능동진동제어 (Active Vibration Control of Structure Using Active Tuned Mass Damper and Modified PPF Controller)

  • 김기영;곽문규
    • 한국소음진동공학회논문집
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    • 제18권2호
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    • pp.224-230
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    • 2008
  • This paper is concerned with the active vibration control of building structure by means of the active tuned mass damper and the modified positive position feedback controller. To this end, one-degree-of-freedom spring-mass-damper system equipped with ATMD is considered. The stability condition for the addressed system when applying the proposed PPF controller is derived by Routh-Hurwitz stability criterion. The stability condition shows that the modified PPF controller is absolutely stable if the controller gain is positive. so that the modified PPF controller can be used without difficulty. Theoretical study shows that the modified PPF controller can effectively suppress vibrations as the original PPF controller does in smart structure applications. To investigate the validity of the modified PPF controller, a simple experimental structure with an ATMD system driven by DC motor was built. The modified PPF control algorithm was implemented on Atmel 128 microcontroller. The experimental result shows that the modified PPF controller can also suppress vibrations for the real structure.

K-means 알고리즘을 사용한 분산 바이오 데이터 통합화 (Integration of Distributed Biological Data using Modified K-means Algorithm)

  • 류병걸;신동규;신동일;정종일
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (B)
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    • pp.32-35
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    • 2007
  • Bioinformatics의 목표는 생물학적인 질의를 해결하는 것과 생물학자들이 수집된 데이터를 분석하고 검색을 하여 생물학자들이 정확한 일을 수행하는 것이다. 인터넷은 여러 조사 그룹의 데이터베이스에 동시에 접근가능한 수단을 제공했으나 이러한 분산 환경에서 많은 양의 데이터는 전송 시의 시간 지연 문제와 최종 검색시의 느린 검색 속도 문제를 나타낸다. 데이터 클러스터링은 데이터의 검색시 이러한 문제점을 해결하기 위하여 이용될 수 있는 방법이지만 단순 적용시에는 데이터의 양에 비례하는 실행 시간이 또 다른 문제를 발생시킨다. 본 논문에서는 바이오데이터의 효율적인 클러스터링을 위한 개선된 분산 클러스터링 시나리오와 이를 위해 수정된 K-means 알고리즘을 제시한다. 최종 실험 결과는 20% 이상 향상된 실행 속도를 보여준다.

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