• 제목/요약/키워드: large source

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비음수 행렬 분해와 디코릴레이터를 이용한 모노-스테레오 블라인드 업믹스 기법 (Mono-To-Stereo Blind Upmix Using Non-Negative Matrix Factorization and Decorrelator)

  • 최근우;전상배;이석진;성굉모
    • 한국음향학회지
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    • 제29권8호
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    • pp.509-515
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    • 2010
  • 본 논문은 충분한 음원 너비 (Apparent Source Width)와 스테레오 이미지 품질 (Stereophonic Image Quality)을 확보하는 모노-스테레오 업믹스 기법을 제안한다. 모노 신호의 분석을 위해 높은 계수의 비음수 행렬 분해가 사용된다. 그 결과로\ 나온 분해된 음원들은 음조성 (Tonality)에 의하여 타악기 (Percussive)와 음조 (Tonal) 그룹으로 분류된다. 두 그룹 중 하나는 바로 스테레오 채널로 들어가는 반면 나머지 하나는 디코릴레이터를 통과하여 들어가게 된다. 청취 평가 결과 제안한 방법은 충분한 음원 너비와 스테레오 음상을 제공할 뿐만 아니라 기존의 방법에 비해 음색 변화도 감소하는 종합적으로 향상된 성능을 보여주었다.

블레이드 통과 주파수 소음과 지연시간을 고려한 중.대형 수평축 풍력발전기의 공력소음해석 (Medium.Large Horizontal Axis Wind Turbine Noise Analysis Considering Blade Passing Frequency Noise and Retarded Time)

  • 김현정;김호건;이수갑
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.1490-1493
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    • 2007
  • Aerodynamic noise generated from wind turbines is predicted by it's classified source mechanisms using computational method. BPF noise according to the blade passing motion, is modelled on monopole and dipole sources. They are predicted by Farassat 1A equation. Airfoil self noise and turbulence ingestion noise are modelled upon quadrupole sources and are predicted by semi-empirical formulas composed on the groundwork of Brooks et al. and Lowson. Retarded time is considered, not only in low frequency noise prediction but also in turbulence ingestion noise and airfoil self noise prediction. Wind turbine noise emission of a 3MW wind turbine and a 600 kW wind turbine, standing for large and middle sized wind turbines, is analyzed.

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Gene Algorithm of Crowd System of Data Mining

  • Park, Jong-Min
    • Journal of information and communication convergence engineering
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    • 제10권1호
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    • pp.40-44
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    • 2012
  • Data mining, which is attracting public attention, is a process of drawing out knowledge from a large mass of data. The key technique in data mining is the ability to maximize the similarity in a group and minimize the similarity between groups. Since grouping in data mining deals with a large mass of data, it lessens the amount of time spent with the source data, and grouping techniques that shrink the quantity of the data form to which the algorithm is subjected are actively used. The current grouping algorithm is highly sensitive to static and reacts to local minima. The number of groups has to be stated depending on the initialization value. In this paper we propose a gene algorithm that automatically decides on the number of grouping algorithms. We will try to find the optimal group of the fittest function, and finally apply it to a data mining problem that deals with a large mass of data.

Geometry-Based Sensor Selection for Large Wireless Sensor Networks

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • 제12권1호
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    • pp.8-13
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    • 2014
  • We consider the sensor selection problem in large sensor networks where the goal is to find the best set of sensors that maximizes application objectives. Since sensor selection typically involves a large number of sensors, a low complexity should be maintained for practical applications. We propose a geometry-based sensor selection algorithm that utilizes only the information of sensor locations. In particular, by observing that sensors clustered together tend to have redundant information, we theorize that the redundancy is inversely proportional to the distance between sensors and seek to minimize this redundancy by searching for a set of sensors with the maximum average distance. To further reduce the computational complexity, we perform an iterative sequential search without losing optimality. We apply the proposed algorithm to an acoustic sensor network for source localization, and demonstrate using simulations that the proposed algorithm yields significant improvements in the localization performance with respect to the randomly generated sets of sensors.

후방접근법을 이용한 장골채취술 (BONE HARVEST FROM POSTERIOR APPROACHES TO THE ILIUM)

  • 장세홍;안재진;소재정
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제12권2호
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    • pp.88-94
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    • 1990
  • Because of it's accessibility and the quantity of bone available, the ilium is a common donor site for autogenous cancellous, cortical, and corticocancellous grafts to the facial skeleton. Especially, the anterior iliac crest has been the traditional source of pelvic bone for autogenous bone grafting in the maxillofacial skeleton. Recently the need for large amounts of bone in some reconstructive procedures of the facial skeleton has led to the evaluation of posterior ilium. The posterior approach to the ilium is superior to the anterior approach when large quantities of cancellous bone are required for facial reconstruction. The posterior approach has the advantages of more available bone, fewer complications, less postoperative pain, less disturbance in ambulation, and a possible reduction in the length of hospitalization. As the posterior approach affords an almost unlimited amount of bone for autogenous grafting in the maxillofacial region, we feel its use is indicated when very large amounts of bone are required.

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Efficient Multi-Touch Detection Algorithm for Large Touch Screen Panels

  • Mohamed, Mohamed G.A.;Cho, Tae-Won;Kim, HyungWon
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권4호
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    • pp.246-250
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    • 2014
  • Large mutual capacitance touch screen panels (TSP) are susceptible to display and ambient noise. This paper presents a multi-touch detection algorithm using an efficient noise compensation technique for large mutual capacitance TSPs. The sources of noise are presented and analyzed. The algorithm includes the steps to overcome each source of noise. The algorithm begins with a calibration technique to overcome the TSP mutual capacitance variation. The algorithm also overcomes the shadow effect of a hand close to TSP and mutual capacitance variation by dynamic threshold calculations. Time and space filters are also used to filter out ambient noise. The experimental results were used to determine the system parameters to achieve the best performance.

Large Area Plasma Characteristics using Internal Linear ICP (Inductively Coupled Plasma) Source for the FPD processing

  • Kim, Kyong-Nam;Lim, Jong-Hyeuk;Yeom, Geun-Young
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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    • pp.544-547
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    • 2006
  • In this study, the characteristics of large area internal linear ICP sources of $1,020mm{\times}920mm$ (substrate area is $880mm{\times}660mm$) were investigated using a multiple linear antennas with U-type parallel connection. Using the multiple linear antennas with U-type parallel connection, a high plasma density of $2{\times}10^{11}/cm^3$ and a high power transfer efficiency of about 88% could be obtained at 5kW of RF power and with 20mTorr Ar. A low plasma potential of less than 26V and a low electron temperature of $2.6{\sim}3.2eV$ could be also obtained. The measured plasma uniformity on the substrate size of 4th generation $(880mm{\times}660mm)$ was about 4%, therefore, it is believed that the multiple linear antennas with U-type parallel connection can be successfully applicable to the large area flat panel display processing.

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신경회로망 독립성분해석을 이용한 음향센서 기반 대전력기기의 고장진단 알고리즘 (Acoustic Sensors based Fault Diagnosis Algorithm for Large-scaled Power Machines using Neural Independent Component Analysis)

  • 조현철;이진우;이영진;이권순
    • 전기학회논문지
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    • 제57권5호
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    • pp.881-888
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    • 2008
  • We present a novel fault diagnosis methodology using acoustic sensor systems and neural independent component analysis for large-scaled power machines. Acoustic sensors are carried out to measure sounds generated from power machines whose signal is used to determine whether fault is occurred or not. Acoustic measurements are independently mixed and deteriorated from original source signals. We propose a demixing algorithm against such mixed signals by means of independent component analysis which is achieved based on information theory and higher-order statistics to derive learning mechanism.

Control Algorithms of Large Synchronous Machines for Starting Gas Turbosets

  • Hwang, Seon-Hwan;Kim, Jang-Mok;Ryu, Ho-Seon;Yoon, Gi-Gab
    • Journal of Power Electronics
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    • 제9권2호
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    • pp.146-155
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    • 2009
  • The static frequency converter (SFC) systems are used as a method of driving large synchronous machines in many power and industrial plants. In this paper, new control algorithms of SFC systems for starting gas turbo sets are proposed for a four quadrant operation: start-up at standstill; an acceleration up to the speed of the rated voltage; field weakening to reach the rated speed; synchronization to the main alternating current (AC) source; and dynamic braking to stop safely within the rating of the synchronous machine. Experimental results show that the proposed algorithms are proper and effective.

WALLABY - the ASKAP HI All-Sky Survey

  • 오세헌
    • 천문학회보
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    • 제37권2호
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    • pp.235-235
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    • 2012
  • The "Widefield ASKAP L-band Legacy All-sky Blind surveY" (WALLABY) is an extragalactic HI survey which aims to examine HI properties and large-scale distribution of ~500,000 galaxies out to z ~ 0.27, covering a wide range of science goals associated with galaxy formation and evolution (P.I.: B. Koribalski & L. Staveley-Smith). The combination of ASKAP's exquisite column density sensitivity and a large primary beam will make it possible to systematically investigate the rarely explored low column-density HI in the universe. Ultimately, the largest and most homogeneous data set from WALLABY will drastically improve and broaden our knowledge on galaxy formation and evolution. ASKAP will be on-line in 2013, so to ensure timely and efficient reduction and analysis of the large WALLABY data set, we have been developing and testing reliable source finding tools and data analysis pipelines. In this talk I present recent progress of WALLABY, especially on the kinematic parameterisation pipeline for the spatially resolved galaxies detected by WALLABY.

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