• The Journal of the Acoustical Society of Korea
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• 제16권1E호
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• pp.29-34
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• 1997

Numerical prediction of aerodynamic noise radiated by subsonic rotors are carried out. A computer program has been developed which incorporates both the discrete frequency noise as well as the broadband noise arising from the ingestion of turbulence. Acoustic analogy is used in conjunction with Homicz's formulation of turbulence ingestion noise. Formulation 1A of Farassat is used to enhance the numerical analysis performance of Ffowcs-Williams Hawkings equation by eliminating the numericla time differentiation. Homicz's trubulence ingestion noise prediction technique is used to understand the characteristics of broadband noise radiated by isotropic trubulence in gestion. Numerical predictions are carried out for a number of rotor configurations and compared with experimental data. Monopole consideration of transonic rotor agrees well with both the experimental data and the linear theory. Noise radiation characteristics of rotor at lifting hover are investigated utilizing simple blade loading obtained by thin wing section theory. By incorporating discrete noise prediction of steady loading with broadband spectrum, much better agreement with experimental data is obtained in the low frequency region. The contributions from different noise mechanisms can also be analyzed through this method.

• 한국음향학회지
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• 제39권1호
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• pp.38-46
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• 2020

로파/데몬 그램은 수동소나의 특성을 확인하기 위해 수중 음향 신호에 대한 방위, 시간, 주파수를 시각적으로 표현한 결과이다. 이러한 그램들은 기존의 압축 기법들을 적용하기 힘든 토널 성분과 같은 특징들을 포함하고 있다. 본 논문에서는 이진맵과 예측 기법으로 구성된 새로운 로파 및 데몬 그램 압축 기법을 제안한다. 먼저 각 주파수 빈에 대한 예측을 결정하는 이진맵을 생성하고, 프레임을 몇 개의 매크로 블록으로 구분한다. 각 매크로 블록에 대해 인트라 예측과 인터 예측을 적용하여 나머지를 계산한다. 그리고 이진맵에서 유효한 빈들에 대해 예측을 수행하고 엔트로피 부호화를 위해 나머지를 양자화 한다. 이진맵과 예측모드를 전송함으로써 복호기는 동일한 절차로 그램을 복원한다. 시뮬레이션을 통해 제안하는 알고리즘의 로파와 데몬 그램 압축 결과가 기존의 데이터 압축 기법에 비해 우수함을 확인한다.

• 한국소음진동공학회논문집
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• 제14권9호
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• pp.785-791
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• 2004

The objective of this research is to suggest anoise prediction method for a centrifugal compressor. It is focused on the Blade Passing Frequency component which is regarded as the main part of the rotating impeller noise. Navier-Stokes solver is used to simulate the flow-field of the centrifugal compressor, and the time-dependent pressure data are calculated to perform the near-field noise prediction by using Ffowcs Williams - Hawkings formulation. Indirect Boundary Element Method is applied to consider the noise propagation effect. Pressure fluctuations of the inlet and the outlet in the centrifugal compressor impeller are presented and the sound pressure level prediction results are compared with the experimental data.

• 지구물리
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• 제7권2호
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• pp.77-87
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• 2004

• Computers and Concrete
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• 제25권4호
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• pp.303-310
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• 2020

In this research, a hybrid mathematical model is derived using the higher-order polynomial kinematic model in association with soft computing technique for the prediction of best fiber volume fractions and the minimal mass of the layered composite structure. The optimal values are predicted further by taking the frequency parameter as the constraint and the projected values utilized for the computation of the eigenvalue and deflections. The optimal mass of the total layered composite and the corresponding optimal volume fractions are evaluated using the particle swarm optimization by constraining the arbitrary frequency value as mass/volume minimization functions. The degree of accuracy of the optimal model has been proven through the comparison study with published well-known research data. Further, the predicted values of volume fractions are incurred for the evaluation of the eigenvalue and the deflection data of the composite structure. To obtain the structural responses i.e. vibrational frequency and the central deflections the proposed higher-order polynomial FE model adopted. Finally, a series of numerical experimentations are carried out using the optimal fibre volume fraction for the prediction of the optimal frequencies and deflections including associated structural parameter.

• Journal of Power Electronics
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• 제11권1호
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• pp.59-63
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• 2011

This paper presents the modeling of the sampling effect in the p-type average current mode control. The prediction of the high frequency components near half of the switching frequency in the current loop gain is given for the p-type average current mode control. By the proposed model, the prediction accuracy is improved when compared to that of conventional models. The proposed method is applied to a buck converter, and then the measurement results are analyzed.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제5권9호
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• pp.229-236
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• 2016

기존의 범죄 예측 방법들은 범죄 발생을 예측하기 위해 기존 기록을 이용하였다. 그러나 이러한 범죄 예측 모델은 데이터를 갱신하는데 어려움이 있다. 범죄 예측을 향상시키기 위해서 소셜 네트워크 서비스(SNS)를 이용하여 범죄를 예측하는 연구들이 진행되었지만, SNS 데이터와 범죄 기록 사이의 관계에 대한 연구는 미흡하다. 따라서, 본 논문에서는 SNS 데이터와 범죄 발생 사이의 관계를 범죄 예측의 관점에서 분석하였다. 잠재 디리클레 할당(LDA)을 이용하여 범죄 발생과 관련된 단어를 포함하는 트윗을 추출하였고, 범죄 기록에 따른 트윗 빈도의 변화를 분석하였다. 범죄 관련 단어를 포함하는 트윗의 빈도를 계산하고, 범죄 발생에 따라서 트윗 빈도를 분석하였다. 범죄가 발생하였을 때, 범죄와 관련된 트윗의 빈도가 변화하였다. 게다가, 범죄 발생 전후에 트윗 빈도가 특정 패턴을 보이기 때문에 SNS 데이터가 범죄 예측 모델에 도움이 될 것이다.

• 한국정보통신학회논문지
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• 제6권7호
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• pp.1038-1043
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• 2002

The demand for multimedia service using Ka-band satellite communication are growing rapi이y. So, in this paper, we have analyzed rain attenuation with typical model, and proposed prediction model of rain attenuation in high frequency(over 20[GHz]). Path loss model by rain attenuation is based upon rain rate of representative region(6 cities). Proposed prediction model of rain attenuation and parameter of satellite link can be available for the Ka-band satellite communication.

• 반도체디스플레이기술학회지
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• 제19권4호
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• pp.88-93
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• 2020

Based on the capture-emission energy (CEE) maps of CMOS devices, a physics-informed machine learning model for the bias temperature instability (BTI)-induced threshold voltage shifts and low frequency noise is presented. In order to incorporate physics theories into the machine learning model, the integration of artificial neural network (IANN) is employed for the computation of the threshold voltage shifts and low frequency noise. The model combines the computational efficiency of IANN with the optimal estimation of Gaussian mixture model (GMM) with soft clustering. It enables full lifetime prediction of BTI under various stress and recovery conditions and provides accurate prediction of the dynamic behavior of the original measured data.

• 자동차안전학회지
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• 제11권4호
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• pp.22-27
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• 2019

In this paper, the vibration load and analysis results for automotive battery supporter were performed to provide efficient vibration tolerance performance prediction methods for single-product vibration tolerance testing, and the major influencing factors and considerations for setting up single-unit vibration tolerance tests were reviewed. A common applicable standard load was applied to efficiently predict the performance of single-unit vibrations through the frequency response analysis technique. The results similar to test results can be predicted by checking vulnerable parts of the vehicle components for vibration loads and applying scale factor to standard loads. In addition, it was confirmed that the test conditions with a frequency generating the same durability severity as the endurance test are needed for accurate prediction of the durability of the single-unit vibration tolerance test conditions, and the acceleration and frequency with the conditions that there is no significant nonlinear phenomena in the vibration system are established during the single-unit vibration tolerance test conditions.