• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.164-169
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• 1992

Classical methods for estimating transfer function models have not always been successful. A statistic approach to the identification of transfer function models which is corrupted by disturbances or noise is presented. The estimated impulse response is obtained from the autocorrelation function and cross correlation function between the measured input and output. Several data analysis tools such as R- , S- and GPAC array for the estimated impulse response give us pretty clear information on the order of transfer function models.

• Bulletin of the Society of Naval Architects of Korea
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• v.5 no.2
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• pp.35-44
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• 1968

The longitudinal cut method of experimental ship wave analysis, originally developed by J.N. Newman, is presented and various plausible sources of error are discussed. A further use of autocorrelation function and crosscorrelation function when two wave systems are superposed is indicated.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.799-802
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• 2000

음성신호처리 분야에서 음성신호의 기본 주파수를 정확히 검출 할 수 있다면 음성인식을 할 때 화자에 따른 영향을 줄일 수 있으므로 인식의 정확도를 높일 수 있고, 음성합성을 할 때 자연성과 개성을 쉽게 변경하거나 유지할 수 있다. 또한 분석을 할 때 피치에 동기시켜 분석하면 성문의 영향이 제거된 정확한 성도 파라미터를 얻을 수 있다. 위와 같은 피치검출의 중요성 때문에 피치검출에 대하여 다양한 방법 이 제안되었다〔1〕. 본 논문에서는 음성신호의 분석 시 불안정한 구간에 대해 피치 시점을 검출하는 방법을 연구하였다. 음성신호의 분석에 있어서 기존의 자기상관함수법(Autocorrelation Function)은 주기성을 강조할 수 있다는 장점을 가지고 있다. 그러나 자기상관함수는 위상성분을 보존하지 못한다는 단점을 가지고 있다. 따라서, 자기상관함수를 사용하면서 위상성분을 보존할 수 있는 알고리즘을 제안하고자 한다. 실험결과 피치시점을 수동으로 찾은 경우와 비교하였을 때 약 98% 정도의 정확도를 얻을 수 있었다. 위의 결과와 같이 위상 성분이 보존된 자기상관함수를 사용할 경우 음성합성, 코딩, 인식에서 유용하게 쓰일 수 있다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.666-670
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• 2006

It has been considered that scattered sounds have a positive effect on a hearing impression of a sound filed. This study investigates the degree and the quality of a scattered sound field by using the acoustical parameters and autocorrelation function(ACF) of impulse responses. The acoustical parameters and fine structure of the ACF of an impulse response were used for the evaluation of the scattered sound field. The relationship between the scattering coefficient of surfaces with various hemisphere diffuser configurations and the acoustical parameters and ACF parameters of impulse responses was investigated.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.247-256
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• 2009

In mass production industries such as steel making that have large equipment, sudden stops of production process due to machine failure can cause severe problems. To prevent such situations, machine diagnosis techniques play important roles. Many methods have been developed focusing on this subject. In this paper, we propose a method for the early detection of the failure on rotating machine, which is the most common theme in the machine failure detection field. A simplified method of calculating autocorrelation function is introduced and is utilized for ARMA model identification. Furthermore, an absolute deterioration factor such as Bicoherence is introduced. Machine diagnosis can be executed by this simplified calculation method of system parameter distance with weight. Proposed method proved to be a practical index for machine diagnosis by numerical examples.

• Tribology and Lubricants
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• v.16 no.2
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• pp.106-113
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• 2000

Effects of surface roughness on bearing performances are investigated numerically in this study, especially for the parallel thrust bearing. Although mating surfaces are parallel and separated by thin fluid film, the pressure distribution is formed due to asperities. Model surface is generated numerically with given autocorrelation function and some surface profile parameters. Then the average Reynolds equation is applied to predict the effects of surface roughness between hydrodynamic and mixed lubrication regimes. In this equation, flow factors are defined as correction terms to smooth out high frequency surface roughness. The correlation length is proposed to get the minimum load for the parallel thrust bearing for various sliding conditions.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.271-274
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• 2001

강의실의 언어 요해도에 관한 연구는 그 평가방법과 지표에 대한 주제로 꾸준히 이루어져 왔다. 기존의 지표들에서는 전체 음에너지에 대한 초기음에너지의 비율로 계산하거나(C80, D50) 주파수 대역별 음에너지의 감쇠율(RASTI)을 구하여 명료도를 평가하였다. 본 연구에서는 Autocorrelation Function (ACF)의 시간적 요소를 통해 강의실의 언어 요해도를 평가하였다. 먼저 시뮬레이션 대상 강의실에서 무향실 음원이 제시되었을 때 12개 수음점에서 음향특성을 측정$\cdot$분석하였으며 청감실험과 ACF 분석을 통해 강의실 요해도와의 상관관계 규명하였다

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1999.11a
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• pp.136-145
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• 1999

This paper describes the surface roughness effect in parallel thrust bearing. In mixed lubrication, some contacts will take place between asperities, and partial lubrication will occur. An average Reynolds Equation is utilized to determine effects of surface roughness on partially lubricated contacts. By using an autocorrelation function for the surface profile, surface model is generated numerically Although the two surfaces are parallel in thrust bearing separated by thin film, the pressure peak is formed due to asperites. By means of surface profile parameters, it is shown that which surface is optimal for the parallel thrust bearing.

• International Journal of Railway
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• v.6 no.3
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• pp.120-124
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• 2013

The aim of this study was to clarify the characteristics of interior noise in Japanese, Korean, and Chinese subways. The octave-band noise levels, A-weighted equivalent continuous sound pressure level ($L_{Aeq}$) and parameters extracted from interaural cross-correlation/autocorrelation functions (ACF/IACFs) were analyzed to evaluate the noise inside running train cars quantitatively and qualitatively. The average $L_{Aeq}$ was 72-83 dBA. The IACF/ACF parameters of the noise showed variations in their values, suggesting they are affected by the characteristics of the trains running, wheel-rail interaction, and cross-section of the tunnels.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1208-1222
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• 2024

Music resources are characterized by quantization, diversification and complication. With the rapid increase of the demand for music resources, the storage of music resources is very large. In order to improve the retrieval effect of music resources, a massive music resources retrieval method based on ant colony algorithm is proposed to effectively use music resources. This paper constructs autocorrelation function to extract pitch feature of music resource, classifies the music resource information by calculating feature similarity. Using ant colony algorithm to correlate the feature of music resource, gain the result of correlative, locate the result of detection and get the result of multi-module. Simulation results show that the proposed method has high precision and recall, short retrieval time and can effectively retrieve massive music resources.