• Title/Summary/Keyword: Spectrum Prediction

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Empirical Prediction of Acoustic Load of Launch Vehicle Including Jet Impingement (충돌제트 현상을 고려한 발사체 음향하중의 경험적 예측)

  • Park, Seoryong;Lee, Kyuho;Kong, Byunghak;Kang, Kyung Tai;Jang, Seokjong;Lee, Soogab
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.3
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    • pp.153-162
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    • 2014
  • Empirical prediction method of the acoustic load on the fairing is based on jet experimental data on the basis of similarity principle. Representative empirical prediction method, DSM-II(Distributed Source Method-II), is a distributing source method along the jet plume. But the empirical prediction model is limited to reflect the impingement source in real environment because it is based on the free jet data. So, we propose a empirical prediction method considering the impinging jet effect by adding a impingement source in the existing prediction method. Considering the additional source's displacement, spectrum, strength and directivity, we calculate the acoustic load on the KSR-III(Korean Sounding Rocket-III) rocket and compare the results with the existing method and experiment data.

Wind power spectra for coastal area of East Jiangsu Province based on SHMS

  • Wang, Hao;Tao, Tianyou;Wu, Teng
    • Wind and Structures
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    • v.22 no.2
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    • pp.235-252
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    • 2016
  • A wind velocity power spectrum (WVPS) with high fidelity is extremely important for accurate prediction of structural buffeting response. WVPS heavily depends on the geographical locations, local terrains and topographies. Hence, field measurement of wind characteristics may be the unique way to obtain the accurate WVPS for a specific region. In this paper, a systematic analysis and discussions of existing WVPSs were performed. Six recorded strong wind data from the structural health monitoring systems (SHMS) of Runyang Suspension Bridge (RSB) and Sutong Cable-stayed Bridge (SCB) in Jiangsu Province of China were selected for analysis. The measured and pre-processed wind velocity data was first transformed from time domain to frequency domain to obtain the measured spectrum. The spectrum for each strong wind was then fitted using the nonlinear least square method and compared with both the fitted spectrum from statistical analysis and the recommended spectrum in specifications. The modified Kaimal spectrum was proved to be the "best" choice for the coastal area of East Jiangsu Province. Finally, a suitable WVPS formula fit for the coastal area of East Jiangsu Province was presented based on the modified Kaimal spectrum. Results in this study provide a more accurate and reliable WVPS for wind-resistant design of engineering structures in the coastal area of East Jiangsu Province.

Multi-Channel MAC Protocol Using Statistical Channel Utilization for Cognitive Networks

  • Xiang, Gao;Zhu, Wen-Min;Park, Hyung-Kun
    • Journal of information and communication convergence engineering
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    • v.8 no.3
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    • pp.273-276
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    • 2010
  • Opportunistic spectrum access (OSA) allows unlicensed users to share licensed spectrum in space and time with no or little interference to primary users, with bring new research challenges in MAC design. We propose a cognitive MAC protocol using statistical channel information and selecting appropriate idle channel for transmission. The protocol based on the CSMA/CA, exploits statistics of spectrum usage for decision making on channel access. Idle channel availability, spectrum hole sufficiency and available channel condition will be included in algorithm statistical information. The model include the control channel and data channel, the transmitter negotiates with receiver on transmission parameters through control channel, statistical decision results (successful rate of transmission) from exchanged transmission parameters of control channel should pass the threshold and decide the data transmission with spectrum hole on data channel. The proposed protocol's simulation will show that proposed protocol does improve the throughput performance via traditional opportunistic spectrum access MAC protocol.

A Method for Quantifying Spectrum Use (스펙트럼 이용 계량화 방법)

  • 김영수;이형수;정영호;김상원;정진욱
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.6 no.3
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    • pp.24-35
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    • 1995
  • In this paper, we study the Spectrum Use Measure(SUM) model for quantifying the extent of spectrum use by existing radio communication systems. This model calculates the interference level between transmitters and receivers by applying the EMC analysis technique of interference prediction process such as antenna radiation pattern model and propagation model which are well known. While several previous works have described the spectrum resources by constructing the interference contours around existing radio systems, the SUM technique is developed for quantifying and portraying the spectrum resources used by radio communication systems in a geographic area. Computer simula- tion results are illustrated to verify the calculations for the Spectrum Use Bandwidth(SUB) and Spectrum Use Factor (SUF) performed by the SUM model and find the usefulness of the SUM model.

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Numerical Study of Wave Prediction Using a Ray Tracing Technique (파향선 추적기법을 이용한 파랑예측에 관한 연구)

  • 조원철
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.8 no.3
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    • pp.236-245
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    • 1996
  • A wave prediction model is used to estimate the wave spectrum at Ulsan Bay. The Wave model includes the refraction of wave rays according to water depth changes in transient and shallow waters. The calculation of wave refraction is performed from three wave directions : east, southeast and south. Three target locations are selected and the wave spectrum at each location is computed for several uniform wind speeds and directions. The computation results of wave spectrum are compared with PNJ(Pierson, Newmann and James) nomogram and Bretschneider nomogram as well. The model could be used in selection of proper harbor site and in construction of coastal facilities, providing fundamental data in design.

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The V/UV Decision Algorithm for a Reduction of the Transmission Bit Rate in the CELP Vocoder (CELP 음성부호화기 전송률 감소를 위한 음성신호의 V/UV 결정 알고리즘)

  • Min, So-Yeon;Kim, Hyun-Chul
    • Journal of Advanced Navigation Technology
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    • v.11 no.1
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    • pp.87-92
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    • 2007
  • The conventional CELP(code excited linear prediction) type vocoder has no V/UV(voiced/unvoiced) classifier. So, the unvoiced speech is processed like the voiced speech. In this paper, to reduce the bit rate, we propose a new V/UV decision algorithm minimized error rate and preprocessing computation. This V/UV classifier use the LSP(line spectrum pair) parameter which is acquired spectrum analysis process in CELP vocoders. Applying this method to the 5.3kbps ACELP(algebraic code excited linear prediction) in the G.723.1, we can get the transmission bits rate reduction of 6% approximately without degradation of speech quality.

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Measurement of Evoked Otoacoustic Emission Latency Using Linear prediction Coding Spectrum (선형예측부호화 스펙트럼을 이용한 유발이음향 방사파 잠시의 측정)

  • An, Jung-Il;Choi, Jin-Young;Cho, Jin-Ho;Lee, Kuhn-Il
    • Proceedings of the KOSOMBE Conference
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    • v.1991 no.05
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    • pp.47-50
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    • 1991
  • An automatized latency calculation method of evoked otoacoustic emission is proposed. Averaged e-OAE signal is measured from normal adult and it is processed by IBM-AT computer for latency calculation. After partition of stimulated and emitted signal on the time axis by converted linear prediction coding spectrum, latency is calculated by cross correlation method. The output is also compared with those of conventional autocorrelation and pure cross correlation methods. The result show that proposed method has better performance than those of conventional ones.

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Aero-acoustic Performance Analysis Method of Regenerative Blower (재생형 송풍기의 공력음향학적 성능 해석 방법)

  • Lee, Chan;Kil, Hyun Gwon;Kim, Gang Chun;Kim, Jun Gon;Ma, Jae Hyun;Chung, Kyung Ho
    • The KSFM Journal of Fluid Machinery
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    • v.16 no.2
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    • pp.15-20
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    • 2013
  • An aero-acoustic performance analysis method of regenerative blower is developed as one of the FANDAS codes. The aerodynamic performance of regenerative blower is predicted by using momentum exchange theory coupled with pressure loss and leakage flow models. Based on the performance prediction results, the noise level and spectrum of regenerative blower are predicted by discrete frequency and broadband noise models. The combination of the performance and the noise prediction methods gives aero-acoustic performance map and noise spectrum analysis results, which are well-agreed with the actual measurement results within a few percent relative error.

Channel Prediction based MAC Protocol in Cognitive Radio Networks. (인지무선 네트워크에서의 채널예측기반 MAC 프로토콜)

  • Zhu, Wen-Min;Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.10
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    • pp.1914-1916
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    • 2010
  • Cognitive radio MAC protocol should allow secondary users to access unused or under-utilized spectrum without interference to primary users. For cognitive MAC protocol, one of the important issues is how to select the channel opportunities for secondary users. In this paper, we propose a novel cognitive MAC protocol to allocate channel opportunities for the secondary users based on the prediction of future availability. The proposed MAC protocol can reduce the interference to primary users and increase throughput using multiple channels.

Color Determination of Beef Rib Eye Using Near Infrared Spectroscopy

  • Kang, J.O.;Park, J.Y.;Choy, Y.H.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.2
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    • pp.263-267
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    • 2001
  • Beef samples of loin eye area from New Zealand, USA and three quality grades of Hanwoo were analyzed using near infrared spectrophotometer with reference values from laboratory optical Chromameter to determine effective spectrum range and mathematical treatment for determination of color values. $R^2s$ of prediction models were not improved much by calibrating with whole light range (400~2500 nm) compared to using visible range (400~1100 nm). Standard errors of calibration and prediction were influenced by possible bias due to sampling non-homogeneous sample sources. However, partial differentiation in the first order was more stable against sampling biases than second derivatives of the spectra. Lightness value was little different among the five sample sources of beef. Beef samples from USA were brighter and more reddish than beefs of Hanwoo or from New Zealand (p<0.05). Yellowness of USA beef was the highest followed by beef from New Zealand, which was also higher than Hanwoo beefs of three quality grades (p<0.05).