• Title/Summary/Keyword: Higher Order Time Frequency

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The forecasting evaluation of the high-order mixed frequency time series model to the marine industry (고차원 혼합주기 시계열모형의 해운경기변동 예측력 검정)

  • KIM, Hyun-sok
    • The Journal of shipping and logistics
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    • v.35 no.1
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    • pp.93-109
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    • 2019
  • This study applied the statistically significant factors to the short-run model in the existing nonlinear long-run equilibrium relation analysis for the forecasting of maritime economy using the mixed cycle model. The most common univariate AR(1) model and out-of-sample forecasting are compared with the root mean squared forecasting error from the mixed-frequency model, and the prediction power of the mixed-frequency approach is confirmed to be better than the AR(1) model. The empirical results from the analysis suggest that the new approach of high-level mixed frequency model is a useful for forecasting marine industry. It is consistent that the inclusion of more information, such as higher frequency, in the analysis of long-run equilibrium framework is likely to improve the forecasting power of short-run models in multivariate time series analysis.

A Study on Road Noise Extraction Methods for Listening (청음용 자동차 로드노이즈 추출 방법 연구)

  • Kook, Hyung-Seok;Kim, Hyoung-Gun;Cho, Munhwan;Ih, Kang-Duck
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.7
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    • pp.844-850
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    • 2016
  • This study pertains to the extraction of the road noise component of signals from a vehicle's interior noise via the traditional frequency domain and time domain system identification methods. For road noise extraction based on the frequency domain system identification method, the appropriate matrix inversion strategy is investigated and causal and non-causal impulse response filters are compared. Furthermore, appropriate data lengths for the frequency domain system identification method are investigated. In addition to the traditional road noise extraction methods based on frequency domain system identification, a new approach to extract road noise via the time domain system identification method based on a parametric input-output model is proposed and investigated in the present study. In this approach, instead of constructing a higher order model for the full-band road noise, input and output signals are processed in the subband domain and lower order parametric models optimal to each subband are determined. These parametric models are used to extract road noises in each subband; the full band road noise is then reconstructed from the subband road noises. This study shows that both the methods in the frequency domain and the time domain successfully extract the road noise from the vehicle's interior noise.

A high-order gradient model for wave propagation analysis of porous FG nanoplates

  • Shahsavari, Davood;Karami, Behrouz;Li, Li
    • Steel and Composite Structures
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    • v.29 no.1
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    • pp.53-66
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    • 2018
  • A high-order nonlocal strain gradient model is developed for wave propagation analysis of porous FG nanoplates resting on a gradient hybrid foundation in thermal environment, for the first time. Material properties are assumed to be temperature-dependent and graded in the nanoplate thickness direction. To consider the thermal effects, uniform, linear, nonlinear, exponential, and sinusoidal temperature distributions are considered for temperature-dependent FG material properties. On the basis of the refined-higher order shear deformation plate theory (R-HSDT) in conjunction with the bi-Helmholtz nonlocal strain gradient theory (B-H NSGT), Hamilton's principle is used to derive the equations of wave motion. Then the dispersion relation between frequency and wave number is solved analytically. The influences of various parameters (such as temperature rise, volume fraction index, porosity volume fraction, lower and higher order nonlocal parameters, material characteristic parameter, foundations components, and wave number) on the wave propagation behaviors of porous FG nanoplates are investigated in detail.

A Single Order Assignment Algorithm Based on Multi-Attribute for Warehouse Order Picking (물류창고 오더피킹에 있어서 다 속성 기반의 싱글오더 할당 알고리즘)

  • Kim, Daebeom
    • Journal of the Korea Society for Simulation
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    • v.28 no.1
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    • pp.1-9
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    • 2019
  • Recently, as the importance of warehouses has increased, much efforts are being made to improve the picking process in order to cope with a small amount of high frequency and fast delivery. This study proposes an algorithm to assign orders to pickers in the situation where Single Order Picking policy is used. This algorithm utilizes five attributes related to picking such as picking processing time, elapsed time after receipt of order, inspection/packing workstation situation, picker error, customer importance. A measure of urgency is introduced so that the units of measure for each attribute are the same. The higher the urgency, the higher the allocation priority. In the proposed algorithm, the allocation policy can be flexibly adjusted according to the operational goal of the picking system by changing the weight of each attribute. Simulation experiments were performed on a hypothetical small logistics warehouse. The results showed excellent performance in terms of system throughput and flow time.

Evidence of Difference on the Results of VAR Analysis Impacted the Time Frequency and Time Span of Time Series Data (시계열 자료의 관찰빈도 및 기간이 VAR 분석결과에 미치는 영향 차이 검증 - 한국 환율과 주가를 중심으로 -)

  • Hwang, Yun Seop;Yoo, Seung Jick;Kim, Soo Eun
    • International Area Studies Review
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    • v.13 no.1
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    • pp.81-102
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    • 2009
  • The discussion of the relationship between macro-economic variables is very important research topic. the most economic variables discussed in connection with the liberalization of capital is the exchange rate and stock prices and these two variables have a relationship of mutual influence are identified. However, the results on the time frequency and the time span of a variable appear differently. Therefore, the purpose of this research describes a cause that the result of prior research varied and presents more reliable research methodology. In this research, when the time frequency and span varied, the VAR analysis of the exchange rate and stock prices appeared differently. So, we use the Monte Carlo simulation method in order to performing our purpose. Our research supports the existing research said the ratio that each coefficient VAR model contained 95% confidence interval of estimated coefficient in Monte Carlo simulation is higher when it is applied more the long term and frequent observation.

Digital Isolated Word Recognition System based on MFCC and DTW Algorithm (MFCC와 DTW에 알고리즘을 기반으로 한 디지털 고립단어 인식 시스템)

  • Zang, Xian;Chong, Kil-To
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.290-291
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    • 2008
  • The most popular speech feature used in speech recognition today is the Mel-Frequency Cepstral Coefficients (MFCC) algorithm, which could reflect the perception characteristics of the human ear more accurately than other parameters. This paper adopts MFCC and its first order difference, which could reflect the dynamic character of speech signal, as synthetical parametric representation. Furthermore, we quote Dynamic Time Warping (DTW) algorithm to search match paths in the pattern recognition process. We use the software "GoldWave" to record English digitals in the lab environments and the simulation results indicate the algorithm has higher recognition accuracy than others using LPCC, etc. as character parameters in the experiment for Digital Isolated Word Recognition (DIWR) system.

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Source Location of Multiple Impacts on the Plate Based on Pre-signal Processing (전치 신호처리를 통한 평판에서의 다중 충격의 위치 추적에 관한 연구)

  • Moon, Yoo-Sung;Park, Hong-Sug;Lee, Sang-Kwon;Shin, Ki-Hong;Lee, Yung-Sup
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.3
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    • pp.220-226
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    • 2011
  • This paper presents the novel work for source localization of serial multiple impacts in a plate sructure. It is difficult to identify the source of serial multiple impacts with the current source localization techenology(SLT) because of the overlapping of dispersive wave induced by multiple impacts and the reflaction from the edge of the plate. In this paper, the new method is suggested for source localization. The method is developed based on the SLT with pre-signal processing such as some limitation for the selection of three sensors, the frequency range for TFA and impact time interval. Results from numerical simulation and experiment in isotropic plate structure are presented, which show the capability of the proposed method.

Development of Combustor for Combustible Hazardous Gas (가연성 유해가스 처리를 위한 연소기 개발)

  • 전영남;채종성;김미환
    • Journal of Korean Society for Atmospheric Environment
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    • v.12 no.4
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    • pp.479-485
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    • 1996
  • Volatile organic compounds are air pollutants exhausting from industrial process, evaporation of solvent, and so on. Most of VOCs are the combustible gas of low calorific value as it is diluted by air. The systems burning such a hazardous gas need to increase enthalpy in order to increase flame stability. In this study an incinerator with reciprocating flow in the honeycomb ceramic has been used for the experiment of VOCs control. By the reciprocating flow system, the enthalpy of combustion gas is effectively regenerated into the enthalpy increases of the combustible gas through the honeycomb ceramic, which provides a heat storage. The position of the reaction zone is strongly dependent on the parameters of mixture velocity and time frequency. Flame front is changed to the point where burning velocity is coincided with burning velocity in the honeycomb ceramic. In this system it is important that flame front should be located symmetrically at the center of honeycomb ceramic for the purpose of increasing the reaction rate at one point. Peak temperature becomes higher with decreasing time frequency, at which the flow direction is regularly reversed.

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Development of viscosity sensor using surface acoustic wave (탄성 표면파를 이용한 점도 센서의 개발)

  • Chong, Woo-Suk;Kim, Gi-Beum;Kang, Hyung-Sub;Hong, Chul-Un
    • Journal of Sensor Science and Technology
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    • v.17 no.4
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    • pp.289-294
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    • 2008
  • The purpose of this study is to materialize the viscosity sensor by using the SH-SAW sensor of which the center frequency is operated at higher than 50 MHz. In order to measure the viscosity, SAW sensor of which the center frequency is operated at 100 MHz is developed. By using the developed sensor, phase shift, delay time, insertion loss, and frequency variation are measured at different viscosity. The result shows that the phase shift difference between the viscosity variations is such that the difference between the distilled water and the 100 % glycerol solution is approximately $45^{\circ}$, the change of the insertion loss is approximately 9 dB, and the difference of frequency variation is approximately 5.9 MHz. Therefore, it is shown that viscosity of unknown solution can be measured with the surface acoustic wave sensor.

A Cooperative Transmission Scheme Based on Alamouti Coding for Cognitive Radio Networks Over Frequency Selective Fading Channels (주파수 선택적 페이딩 채널에서 안치 무선 통신을 위한 Alamouti 코딩 기반 협력 전송 기법)

  • Kang, Seung-Goo;Kim, Jun-Hwan;Baek, Jee-Hyeon;Yoon, Seok-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6C
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    • pp.403-411
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    • 2011
  • This paper addresses a cooperative transmission scheme based on Alamouti coding for cognitive radio networks over frequency selective fading channels. In the proposed scheme, the Alamouti coded form at the destination node is constructed through a simple combination of symbols at the source node, instead of the time-reversal operation and the conjugate operation at the relay nodes used in the conventional scheme. Numerical results show that the proposed scheme achieves a higher order cooperative diversity than that of the conventional scheme.