• 제목/요약/키워드: Phase identification

검색결과 685건 처리시간 0.026초

시변 2상 최적화 및 이의 신경회로망 학습에의 응용 (Time-Varying Two-Phase Optimization and its Application to neural Network Learning)

  • 명현;김종환
    • 전자공학회논문지B
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    • 제31B권7호
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    • pp.179-189
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    • 1994
  • A two-phase neural network finds exact feasible solutions for a constrained optimization programming problem. The time-varying programming neural network is a modified steepest-gradient algorithm which solves time-varying optimization problems. In this paper, we propose a time-varying two-phase optimization neural network which incorporates the merits of the two-phase neural network and the time-varying neural network. The proposed algorithm is applied to system identification and function approximation using a multi-layer perceptron. Particularly training of a multi-layer perceptrion is regarded as a time-varying optimization problem. Our algorithm can also be applied to the case where the weights are constrained. Simulation results prove the proposed algorithm is efficient for solving various optimization problems.

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심전도의 재분극상에서의 활동전임의 추정 (Estimated Action Potentials During Repolarization Phase form the Body Surface Electrocardiogram)

  • 강훈;민병구;최계근
    • 대한전자공학회논문지
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    • 제20권6호
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    • pp.81-87
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    • 1983
  • 심전도는 심장근육세포와 홍분세포들의 활동전위의 전파에 따른 전파에 의해 발생한다. 활동전위의 재분극상은 임상적 요인에 매우 민감하다. 따라서. 역심전도에 관한 본 논문에서는, 디지탈 신호 추정방법으로 심전도의 재분극상에서의 일정활동전위(uniform action potential)를 추정하는 방법을 연구하였다. 추정된 정상인의 활동전위는 임상적 자료와 비슷한 재분극상을 보였다.

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순간압력강하치의 통계적 해석을 통한 경사관내 2상유동양식의 판별 (Identification of Two-Phase Flow Patterns in a Inclined Duct Based upon a Statistical Analysis of Instantaneous Pressure Drop)

  • 이상천;이정표;김중엽
    • 대한설비공학회지:설비저널
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    • 제17권5호
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    • pp.590-597
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    • 1988
  • Characteristics of flow regime transitions in inclined upwards gas-liquid two-phase flow have been investigated based upon a statistical analysis of instantaneous pressure drop curves through an orifice. The probability density functions of the curves indicate distinct patterns depending upon two-phase flow regime, which are very similar to those of horizontal two-phase. The dimensionless intensity of fluctuations of the pressure drops sharply change as the flow transitions such as plug-slug, pseudo slug-slug and annular-slug take place. The effects of inclination angle on the flow regime transitions have been also investigated. The results show that the method to identify the flow pattern based upon the statistical analysis of instantaneous pressure drops is suitable for inclined flow as well as horizontal flow.

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고압하에서 방사광을 이용한 흑연에 대한 연구 (High pressure X-ray diffraction study on a graphite using Synchrotron Radiation)

  • Kim, Young-Ho;Na, Ki-Chang
    • 암석학회지
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    • 제3권1호
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    • pp.34-40
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    • 1994
  • High pressure X-ray diffraction study was carried out on a graphite to investigate its compressibility as well as any possible phase transition to the hexagonal diamond structure at room temperature. Energy dispersive X-ray diffraction method was introduced using a Mao-Bell type diamond anvil cell with Synchrotron Radiation. Polycrystalline sodium chloride was compressed together with graphite for the high pressure determinations. Because of the poor resolution of the X-ray diffraction pattern of graphite, its compressibility was estimated to be almost same as that of NaCl by graphite (002) X-ray diffraction peak only. An observation of any new peak from a possible hexagonal diamond phase seems very unplausible for its definite identification based on the present data. Alternative approaches such as an Wiggler Radiation source as well as a Large Volume high pressure apparatus will be necessary for the detailed studies on a graphite in future.

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동일 주파수 성분의 디젤엔진과 프로펠러 기진력 위상차 규명을 이용한 선박 진동 제어 (Ship Vibration Control Utilizing the Phase Difference Identification of Two Excitation Components with the Same Frequency Generated by Diesel Engine and Propeller)

  • 성혜민;김기선;주원호;조대승
    • 대한조선학회논문집
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    • 제57권3호
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    • pp.160-167
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    • 2020
  • A two-stroke diesel engine and a propeller normally adopted in large merchant ships are regarded as major ship vibration sources. They are directly connected and generate various excitation components proportional to the rotating speed of diesel engine. Among the components, the magnitude of two excitation components with the same frequency generated by both engine and propeller can be compensated by the adjustment of their phase difference. It can be done by the optimization of propeller assembly angle but requires a number of burdensome trials to find the optimal angle. In this paper, the efficient estimation method to determine optimal propeller assembly angle is proposed. Its application requires the axial vibration measurement in sea trial and the numerical vibration analysis for propulsion shafting which can be substituted by additional vibration measurement after one-trial modification of propeller assembly angle. In order to verify the validity of the proposed method, the phase difference between two fifth order excitation components generated by both diesel engine and propeller of a real ship is calculated by the finite element analysis and its result is indirectly validated by the comparison of axial vibration responses at intermediate shaft obtained by the numerical analysis and the measurement in sea trial. Finally, it is numerically confirmed that axial vibration response at intermediate shaft at a resonant speed can be decreased more than 87 % if the optimal propeller assembly angle determined by the proposed method is applied.

K-Means 클러스터링을 활용한 선박입항패턴 단계화 연구 (A Study on Phase of Arrival Pattern using K-means Clustering Analysis)

  • 이정석;이형탁;조익순
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2020년도 추계학술대회
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    • pp.54-55
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    • 2020
  • 4차 산업혁명으로 인공지능, 사물인터넷, 빅데이터 등의 기술이 조선 해운 산업에 매우 밀접하게 연관 되고 있고 이는 자율운항선박의 탄생을 가져왔다. 현재 선박의 기술적 특성상 속력을 갑자기 낮출 수 없으므로 항만에 접안하기 위해 예인선의 도움, 도선사의 승선, 육상관제센터의 선박 컨트롤 등 복잡한 커뮤니케이션을 필요로 한다. 본 연구에서는 자율운항선박이 도입될 경우 선박이 입항하기 위한 컨트롤 기준을 어떻게 설정할지 해결하고자 클러스터링 분석을 사용하였다. 입항 선박의 축적된 AIS 데이터를 기반으로 입항 패턴을 정량적으로 단계화하고자 K-Means 클러스터링을 사용했고 SOG(Speed over Ground), COG(Course over Ground), ROT(Rate of Turn)를 사용하여 입항 단계를 6개로 구분하였다.

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Identification of IY81149 and Its Metabolites in the Rat Plasma Using the On-Line HPLC/ESI Mass Spectrometry

  • Myung, Seung-Woon;Min, Hye-Ki;Jin, Chang-Bae;Kim, Myung-Soo;Lee, Seung-Mok;Chung, Gi-Ju;Park, Seong-Jun;Kim, Dong-Yeon;Cho, Hyun-Woo
    • Archives of Pharmacal Research
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    • 제22권2호
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    • pp.189-193
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    • 1999
  • Reversed-phase high-performance liquid chromatography/mass spectrometry (HPLC/MS) with an eletcrospray ionization (ESI) interface was applied to the identification of metabolites of IY81149 in the rat plasma. Fragments obtained using collision-induced dissociation (CID) in both positive and negative modes were utilized to elucidate the structure of metabolites. The eluent from the conventional HPLC column was split and directly introduced into an ESI-mass spectrometer for the identification of the structures. the CID technique allowed the sensitive identification of sulfonyl-IY81149 and hydroxy-IY81149 from the rat plasma.

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Carotenoids 화학의 연구방법 (Methodology of Carotenoids Chemistry)

  • 김재웅
    • 한국식품영양학회지
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    • 제14권4호
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    • pp.360-366
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    • 2001
  • This brief review is organized to integrate methodology of carotenoids chemistry from the author's experimental conceps. The majors include classification of carotenoids. extraction·phase separation, purification. crystalyzation, identification, quantitation, spectroscopic properties, organic reactions, and analytical methods of carotenoproteins. The goal is not write a important conceps of carotenoid but to provide a technical methods that may be useful to researchers of natural products chemistry.

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HIP Effects on Mechanical Properties of Oxide Plasma-sprayed Coatings

  • Korobova, N.;Soh, Dea-Wha
    • 동굴
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    • 제76호
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    • pp.61-66
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    • 2006
  • The present report is the investigation of the effects of the HIP treatment on plasma-sprayed ceramic coating of $Al_2O_3$, $Al_2O_3-SiO_2$ on the metal substrate. These effects were characterized by phase identification, Vickers hardness measurement, and tensile test before and after HIPing.

최적화된 pRBF 뉴럴 네트워크에 이용한 삼상 부분방전 패턴분류에 관한 연구 (A Study on Three Phase Partial Discharge Pattern Classification with the Aid of Optimized Polynomial Radial Basis Function Neural Networks)

  • 오성권;김현기;김정태
    • 전기학회논문지
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    • 제62권4호
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    • pp.544-553
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    • 2013
  • In this paper, we propose the pattern classifier of Radial Basis Function Neural Networks(RBFNNs) for diagnosis of 3-phase partial discharge. Conventional methods map the partial discharge/noise data on 3-PARD map, and decide whether the partial discharge occurs or not from 3-phase or neutral point. However, it is decided based on his own subjective knowledge of skilled experter. In order to solve these problems, the mapping of data as well as the classification of phases are considered by using the general 3-PARD map and PA method, and the identification of phases occurring partial discharge/noise discharge is done. In the sequel, the type of partial discharge occurring on arbitrary random phase is classified and identified by fuzzy clustering-based polynomial Radial Basis Function Neural Networks(RBFNN) classifier. And by identifying the learning rate, momentum coefficient, and fuzzification coefficient of FCM fuzzy clustering with the aid of PSO algorithm, the RBFNN classifier is optimized. The virtual simulated data and the experimental data acquired from practical field are used for performance estimation of 3-phase partial discharge pattern classifier.