• Title/Summary/Keyword: Average relative error

검색결과 220건 처리시간 0.026초

$Na{\ddot{i}}ve$ Bayesian 분류화 기법을 이용한 시간대별 평균 구간 속도 기반 주행 시간 예측 알고리즘 (Travel Time Prediction Algorithm Based on Time-varying Average Segment Velocity using $Na{\ddot{i}}ve$ Bayesian Classification)

  • 엄정호;니하드카림초우더리;이현조;장재우;김연중
    • 한국공간정보시스템학회 논문지
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    • 제10권3호
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    • pp.31-43
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    • 2008
  • 주행 시간 예측은 첨단 여행정보 시스템 (ATIS) 및 교통관리 시스템 (ITS)에서 필수적이다. 이를 위해 본 연구에서는 대용량의 데이터 분류에서 높은 정확도와 빠른 속도를 보장하는 $Na{\ddot{i}}ve$ Bayesian 분류화 기법을 기반으로 한 주행시간 예측 알고리즘을 제안한다. 제안된 알고리즘은 도로 네트워크 상에서 사용자 지정 주행 경로에 대하여 주행시간 예측이 가능하며, 또한 주어진 경로에 대해 시간대 별 평균 구간 속도를 고려하여 보다 정확한 주행 시간 예측을 수행한다. 제안된 알고리즘을 기존의 링크-기반 예측(link-based prediction)알고리즘[1] 및 Micro T* 알고리즘[2]과 성능 비교를 수행하였다. 성능 비교 결과, 제안된 기법이 타 예측기법에 비해 MARE (mean absolute relative error)가 크게 감소하여 성능이 향상되었음을 보였다.

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온도를 고려한 지수평활에 의한 단기부하 예측 (Short-Term Load Forecasting Exponential Smoothoing in Consideration of T)

  • 고희석;이태기;김현덕;이충식
    • 대한전기학회논문지
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    • 제43권5호
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    • pp.730-738
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    • 1994
  • The major advantage of the short-term load forecasting technique using general exponential smoothing is high accuracy and operational simplicity, but it makes large forecasting error when the load changes repidly. The paper has presented new technique to improve those shortcomings, and according to forecasted the technique proved to be valid for two years. The structure of load model is time function which consists of daily-and temperature-deviation component. The average of standard percentage erro in daily forecasting for two years was 2.02%, and this forecasting technique has improved standard erro by 0.46%. As relative coefficient for daily and seasonal forecasting is 0.95 or more, this technique proved to be valid.

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Modeling of Co(II) adsorption by artificial bee colony and genetic algorithm

  • Ozturk, Nurcan;Senturk, Hasan Basri;Gundogdu, Ali;Duran, Celal
    • Membrane and Water Treatment
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    • 제9권5호
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    • pp.363-371
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    • 2018
  • In this work, it was investigated the usability of artificial bee colony (ABC) and genetic algorithm (GA) in modeling adsorption of Co(II) onto drinking water treatment sludge (DWTS). DWTS, obtained as inevitable byproduct at the end of drinking water treatment stages, was used as an adsorbent without any physical or chemical pre-treatment in the adsorption experiments. Firstly, DWTS was characterized employing various analytical procedures such as elemental, FT-IR, SEM-EDS, XRD, XRF and TGA/DTA analysis. Then, adsorption experiments were carried out in a batch system and DWTS's Co(II) removal potential was modelled via ABC and GA methods considering the effects of certain experimental parameters (initial pH, contact time, initial Co(II) concentration, DWTS dosage) called as the input parameters. The accuracy of ABC and GA method was determined and these methods were applied to four different functions: quadratic, exponential, linear and power. Some statistical indices (sum square error, root mean square error, mean absolute error, average relative error, and determination coefficient) were used to evaluate the performance of these models. The ABC and GA method with quadratic forms obtained better prediction. As a result, it was shown ABC and GA can be used optimization of the regression function coefficients in modeling adsorption experiments.

기상요소가 식량작물 생산량에 미치는 영향: 패널자료를 활용한 회귀분석 (Effects of Meteorological Elements in the Production of Food Crops: Focused on Regression Analysis using Panel Data)

  • 이중우;장영재;고광근;박종길
    • 한국환경과학회지
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    • 제22권9호
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    • pp.1171-1180
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    • 2013
  • Recent climate change has led to fluctuations in agricultural production, and as a result national food supply has become an important strategic factor in economic policy. As such, in this study, panel data was collected to analyze the effects of seven meteorological elements and using the Lagrange multipliers method, the fixed-effects model for the production of five types of food crop and the seven meteorological elements were analyzed. Results showed that the key factors effecting increases in production of rice grains were average temperature, average relative humidity and average ground surface temperature, while wheat and barley were found to have positive correlations with average temperature and average humidity. The implications of this study are as follow. First, it was confirmed that the meteorological elements have profound effects on the production of food crops. Second, when compared to existing studies, the study was not limited to one food crop but encompassed all five types, and went beyond other studies that were limited to temperature and rainfall to include various meterological elements.

우수한 수렴특성을 갖는 3차원 포아송 방정식의 이산화 방법 (A discretization method of the three-dimensional poisson's equation with excellent convergence characteristics)

  • 김태한;이은구;김철성
    • 전자공학회논문지D
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    • 제34D권8호
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    • pp.15-25
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    • 1997
  • The integration method of carier concentrations to redcue the discretization error of th box integratio method used in the discretization of the three-dimensional poisson's equation is presented. The carrier concentration is approximated in the closed form as an exponential function of the linearly varying potential in the element. The presented method is implemented in the three-dimensional poisson's equation solver running under the windows 95. The accuracy and the convergence chaacteristics of the three-dimensional poisson's equation solver are compared with those of DAVINCI for the PN junction diode and the n-MOSFET under the thermal equilibrium and the DC reverse bias. The potential distributions of the simulatied devices from the three-dimensional poisson's equation solver, compared with those of DAVINCI, has a relative error within 2.8%. The average number of iterations needed to obtain the solution of the PN junction diode and the n-MOSFET using the presented method are 11.47 and 11.16 while the those of DAVINCI are 21.73 and 23.0 respectively.

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A Range-Based Localization Algorithm for Wireless Sensor Networks

  • Zhang Yuan;Wu Wenwu;Chen Yuehui
    • Journal of Communications and Networks
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    • 제7권4호
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    • pp.429-437
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    • 2005
  • Sensor localization has become an essential requirement for realistic applications over wireless sensor networks (WSN). In this paper we propose an ad hoc localization algorithm that is infrastructure-free, anchor-free, and computationally efficient with reduced communication. A novel combination of distance and direction estimation technique is introduced to detect and estimate ranges between neighbors. Using this information we construct unidirectional coordinate systems to avoid the reflection ambiguity. We then compute node positions using a transformation matrix [T], which reduces the computational complexity of the localization algorithm while computing positions relative to the fixed coordinate system. Simulation results have shown that at a node degree of 9 we get $90\%$ localization with $20\%$ average localization error without using any error refining schemes.

음소인식 오류에 강인한 N-gram 기반 음성 문서 검색 (N-gram Based Robust Spoken Document Retrievals for Phoneme Recognition Errors)

  • 이수장;박경미;오영환
    • 대한음성학회지:말소리
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    • 제67호
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    • pp.149-166
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    • 2008
  • In spoken document retrievals (SDR), subword (typically phonemes) indexing term is used to avoid the out-of-vocabulary (OOV) problem. It makes the indexing and retrieval process independent from any vocabulary. It also requires a small corpus to train the acoustic model. However, subword indexing term approach has a major drawback. It shows higher word error rates than the large vocabulary continuous speech recognition (LVCSR) system. In this paper, we propose an probabilistic slot detection and n-gram based string matching method for phone based spoken document retrievals to overcome high error rates of phone recognizer. Experimental results have shown 9.25% relative improvement in the mean average precision (mAP) with 1.7 times speed up in comparison with the baseline system.

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액시머 레이저를 이용한 마이크로 렌즈 가공 모델링 및 시뮬레이션 (Micromachining Modelling and Simulation for Microlens Using Excimer Laser)

  • 최경현;배창현
    • 한국공작기계학회논문집
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    • 제13권1호
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    • pp.55-62
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    • 2004
  • This paper addresses the method for figuring out the hole diameter on the mask containing the information about machining depth. With this mask e micro machining is carried out with a simple 2D movement of the mask. Based on e suggested method excimer laser ablation processes are modeled and determination of the optimal laser ablation conditions such as hole diameter, step size, mask movement velocity, etc. is completed. The excimer laser ablation simulation for creating 3D micro lens is carried out by employing determined ablation conditions to prove verification of the method. The results from simulation illustrated the average error of 140nm and e relative error of 2%.

유도결합 플라스마 질량분석기를 이용한 담배 제품의 무기물 반정량 분석 (Semiquantitative Analysis of metal for Cigarette Product by Inductively Coupled Plasma Mass Spectrometry)

  • 조성일;김효근;황건중
    • 한국연초학회지
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    • 제31권2호
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    • pp.95-106
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    • 2009
  • Semiquantitative analysis by ICP-MS has proven to be a powerful tool for fast screening, in addition, it does not require the element of interest to be present in the calibration standard, making it especially useful for the analysis of unknown samples. In this study, seven cigarette samples were analyzed by the rapid semi-quantitative analysis method based on the ICP-MS. For each cigarette sample, cut tobacco, cigarette paper, filter (before and after smoking), and smoke condensate were analyzed. The accuracy of the analysis technique was evaluated by comparing results obtained from Calibration Check Standard(CCS) and calibration method. Relative Percentage Error(RPE) value of all elements measured for three CCS showed a stable result of less than ${\pm}20%$. Compared to full quantitative analysis by calibration method, the results for cigarette samples showed average error within ${\pm}15%$.

관개계획을 위한 일기예보의 신뢰성과 활용성 (Reliability and Applicability of Weather Forecasts for Irrigation Scheduling)

  • 이남호
    • 한국농공학회지
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    • 제41권6호
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    • pp.25-32
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    • 1999
  • The purpose of this study is to analyse the accuracy of weather forecasts of temperature, precipitation probability , and sky condition and to evaluate the applicability of weather forecasts for the estimation of potential evapotranspiration for irrigation scheduling. Five weather station s were selected to compare forecasted and measured climatcal data. The error between forecasted and measured temperature was calculated and discussed. The accuracy of temperature forecast using relative frequency of the error was calculated . The temperature forecasting showed considerably high accuracy. Average sunshine hours for forecasted sky conditions were calculated and showed reasonable quality. From the reliability graphs, the forecasting precipation probabililty was reliable. Potential evapotranspirations were calculated and compared using forecast and measured temperatures. The weather forecast is considered usable for irrigation scheculing.

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