• Title/Summary/Keyword: range estimation

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On the Center Pitch Estimation by using the Spectrum Leakage Phenomenon for the Noise Corrupted Speech Signals (배경 잡음하에서 스펙트럼 누설현상을 이용한 음성신호의 중심 피치 검출)

  • Kang, Dong-Kyu;Bae, Myung-Jin;Ann, Sou-Guil
    • The Journal of the Acoustical Society of Korea
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    • v.10 no.1
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    • pp.37-46
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    • 1991
  • The pitch estimation algorithms witch have proposed until now are difficult to detect wide range pitches regardless of age or sex. A little deviation are observed with reference to the center pitch in the distribution diagram of pitches, since pitches are characterized by a physical limitation of the coarticulation mechanism. If the center pitches are refered to the accurate pitch extraction procedure, the algorithms will be not only simplified in procedure but also improved in accuracy. In this paper, we proposed an algorithm that the center pitches are accurately detected by using the spectrum leakage phenomenon for the noise speech signals.

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Energy Detector based Time of Arrival Estimation using a Neural Network with Millimeter Wave Signals

  • Liang, Xiaolin;Zhang, Hao;Gulliver, T. Aaron
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.7
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    • pp.3050-3065
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    • 2016
  • Neural networks (NNs) are extensively used in applications requiring signal classification and regression analysis. In this paper, a NN based threshold selection algorithm for 60 GHz millimeter wave (MMW) time of arrival (TOA) estimation using an energy detector (ED) is proposed which is based on the skewness, kurtosis, and curl of the received energy block values. The best normalized threshold for a given signal-to-noise ratio (SNR) is determined, and the influence of the integration period and channel on the performance is investigated. Results are presented which show that the proposed NN based algorithm provides superior precision and better robustness than other ED based algorithms over a wide range of SNR values. Further, it is independent of the integration period and channel model.

Modeling of the Safety Distance between Defrost Heater and Plastic Inner Wall of Refrigerator (제상 히터와 냉장고 플라스틱 내벽 사이의 안전거리에 대한 모델링)

  • Jung, Young;Shin, Jong-Min;Tikhonov, Alexei V.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.15 no.3
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    • pp.196-202
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    • 2003
  • Two dimensional modeling was carried out to find the safety distance between the defrost heater and the plastic inner wall of domestic refrigerator Estimation was processed for the three cases; the estimation of plastic wall temperature (1) without any protection, (2) with an aluminum foil attached on a wall, and (3) with an aluminum shield installed between heater and wall. The former two cases are found to be dangerous during defrosting process, because the temperatures of inner wall reach above 80'C , which is the upper temperature limit of the wall material. The case with an aluminum shield is considered to be safe by maintaining the temperature of the wall in the range of 6$0^{\circ}C$ during defrosting process.

K-1 Tank Life Cycle Cost Estimate Using PRICE Model (PRICE 모델을 이용한 K1전차 수명주기 비용추정)

  • 강창호;강성진
    • Journal of the military operations research society of Korea
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    • v.25 no.2
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    • pp.44-61
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    • 1999
  • Cost estimation has posed a significant challenge to estimators, planners, and managers in both government and military. Considerable historical evidence shows that accurate cost estimation has been difficult to achieve across a wide range of projects, including weapon systems. This paper introduces new cost estimating concept, CAIV(Cost As an Independent Variable) and a cost estimating case study using PRICE model, computer aided parametric estimating models(CAPE) for K1 tank cost estimate. CAIV concept is to set realistic but aggressive cost objectives easily in each acquisition program and to achieve cost, schedule, and performance objectives considering various managing risks with a project manager and industry teams. The Price model is one of computer aided cost estimating models and widely used in U.S. defense system analysis as a tool for CAIV. We analyze theories, inputs, outputs of the PRICE model and present a case study for K1 tank to estimate costs in requirement and concept phase, program and budgeting phase, and life cycle phase. Finally we obtain results that the Price model can be used in various phases of PPBEES depending upon available data and time.

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Variation of Non-Point Source Pollution according to AMC Condition Using Probable Rainfall (확률강우량을 이용한 AMC 조건에 따른 비점원 오염량의 변화)

  • 안승섭
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.42 no.3
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    • pp.76-88
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    • 2000
  • AGNPS model is applied in this study to analyze the changes of non-point source pollutant according to AMC condition using probable rainfall. Probable rainfall of H-dam area by Gumber's extreme value distribution is computed through frequency analysis for each return period. 35 coarse grids are subdivided into 134 find grids of finite differential network to analyze peak flow soil loss quantity and nutrients of study area and the modified CN estimation equation shows good result about rainfall events-peak flow relationship. And as the consequence of estimation of soil loss quantity for each rainfall event soil loss quantity shows 120%-170% of actual soil loss quantity Regression analysis for the observed and calculated values of flow T-P AMC has an important effect on nutrients concentration of outflow and it if found that the excessive fertilization under AMC III condition may cause eutrophication by nutrients because the range of increase of outflow concentration appears relatively high.

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A Two-Stage Approach to Pedestrian Detection with a Moving Camera

  • Kim, Miae;Kim, Chang-Su
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.4
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    • pp.189-196
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    • 2013
  • This paper presents a two-stage approach to detect pedestrians in video sequences taken from a moving vehicle. The first stage is a preprocessing step, in which potential pedestrians are hypothesized. During the preprocessing step, a difference image is constructed using a global motion estimation, vertical and horizontal edge maps are extracted, and the color difference between the road and pedestrians are determined to create candidate regions where pedestrians may be present. The candidate regions are refined further using the vertical edge symmetry features of the pedestrians' legs. In the next stage, each hypothesis is verified using the integral channel features and an AdaBoost classifier. In this stage, a decision is made as to whether or not each candidate region contains a pedestrian. The proposed algorithm was tested on a range of dataset images and showed good performance.

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A Study on the Estimation of Probable Maximum Precipitation in Korea (우리나라의 최대가강수량 추정에 관한 연구)

  • 윤세의;이원환
    • Water for future
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    • v.13 no.3
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    • pp.77-81
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    • 1980
  • Probable Maximum Precipitation values for seven heavy stroms during the period from 1966 to 1976 are derived, using the manual for W.M.O P.M.P analysis of strom precipitation. The hydrometeoroogical and the statistical methods are consisted of the procedure of P.M.P. estimation in this study. It is possible to draw P.M.P curves from the view points of area and strom durations. A comparison has been made between the P.M.P values of Nakding River basin and the results of this paper. For a storm period of 24 hours, the P.M.P value at the maximum station is 762 mm and the moistrue maximization ratio are within the range 1.17 to 1.41 for the seven selected stroms.

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Characteristics of Modernized Hanok for development Estimate system. (개략견적 기법 개발을 위한 신한옥 특성 분석)

  • Kim, Hyo-Sun;Jung, Young-Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.124-125
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    • 2013
  • The purpose of this research is to propose an approximate estimation system for Modernized Hanok. Mock-up (Jisinjae) site data has been collected and analysed to characterize the modernized Hanok and to examine the range of cost fluctuation rate with each work items. As a result, number of floor, area (㎥), shape, methods and materials were considered as key factors for price change on the total construction cost. Furthermore, wood structure (34%) and roof (17%) account for major cost percentage. The cost fluctuation rate of two factors were -3.3%~+5.6% (wood structure) and -4.1%~+4.2% (roof). For further research, existing method will be analysed in order to developing the Hanok estimation system. And the cost fluctuation rate of every work items will be continually evaluated.

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Reliability Estimation Using Two-Staged Kriging Metamodel and Genetic Algorithm (2단 크리깅 메타모델과 유전자 알고리즘을 이용한 신뢰도 계산)

  • Cho, Tae-Min;Ju, Byeong-Hyeon;Jung, Do-Hyun;Lee, Byung-Chai
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.9 s.252
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    • pp.1116-1123
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    • 2006
  • In this study, the effective method for reliability estimation is proposed using tow-staged kriging metamodel and genetic algorithm. Kriging metamodel can be determined by appropriate sampling range and the number of sampling points. The first kriging metamodel is made based on the proposed sampling points. The advanced f'=rst order reliability method is applied to the first kriging metamodel to determine the reliability and most probable failure point(MPFP) approximately. Then, the second kriging metamodel is constructed using additional sampling points near the MPFP. These points are selected using genetic algorithm that have the maximum mean squared error. The Monte-Carlo simulation is applied to the second kriging metamodel to estimate the reliability. The proposed method is applied to numerical examples and the results are almost equal to the reference reliability.

Generating of the same hue population using hue angle and chroma vector (색상각와 채도벡터를 이용한 동일색상의 분광반사 모집단 생성)

  • 유미옥;서봉우;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.18 no.2
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    • pp.1-12
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    • 2000
  • This paper proposes a new algorithm classifing same hues in order toe estimate the spectral reflectance of object from 3 band color image information. To estimate the spectral reflectance of object, the conventional estimation methods are required of 5 or 9 band digital color values. The 5 or 9 band image acquisition systems are required of 5 or 3 times same work for color image acquisition process. To solve the above problems, we propose a new method that can be estimated spectra reflectance estimation of object. The proposed method is to classify same hues corresponding a color stimulus, by using hue angle and chroma vector of a color stimulus. The classified same hues are used as the population corresponding a color stimulus. The range of same hue is estimated by the cumulative proportional ration according to the number of basis function.

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