• 제목/요약/키워드: Estimation accuracy

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Using Standard Deviation with Analogy-Based Estimation for Improved Software Effort Prediction

  • Mohammad Ayub Latif;Muhammad Khalid Khan;Umema Hani
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권5호
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    • pp.1356-1376
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    • 2023
  • Software effort estimation is one of the most difficult tasks in software development whereas predictability is also of equal importance for strategic management. Accurate prediction of the actual cost that will be incurred in software development can be very beneficial for the strategic management. This study discusses the latest trends in software estimation focusing on analogy-based techniques to show how they have improved the accuracy for software effort estimation. It applies the standard deviation technique to the expected value of analogy-based estimates to improve accuracy. In more than 60 percent cases the applied technique of this study helped in improving the accuracy of software estimation by reducing the Magnitude of Relative Error (MRE). The technique is simple and it calculates the expected value of cost or time and then uses different confidence levels which help in making more accurate commitments to the customers.

A Dynamic Accuracy Estimation for GPU-based Monte Carlo Simulation in Tissue Optics

  • Cai, Fuhong;Lu, Wen
    • Current Optics and Photonics
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    • 제1권5호
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    • pp.551-555
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    • 2017
  • Tissue optics is a well-established and extensively studied area. In the last decades, Monte Carlo simulation (MCS) has been one of the standard tools for simulation of light propagation in turbid media. The utilization of parallel processing exhibits dramatic increase in the speed of MCS's of photon migration. Some calculations based on MCS can be completed within a few seconds. Since the MCS's have the potential to become a real time calculation method, a dynamic accuracy estimation, which is also known as history by history statistical estimators, is required in the simulation code to automatically terminate the MCS as the results' accuracy achieves a high enough level. In this work, spatial and time-domain GPU-based MCS, adopting the dynamic accuracy estimation, are performed to calculate the light dose/reflectance in homogeneous and heterogeneous tissue media. This dynamic accuracy estimation can effectively derive the statistical error of optical dose/reflectance during the parallel Monte Carlo process.

통행분포 예측모형별 예측 정확도(精確度)에 관한 연구: 대구시 O-D표를 대상으로 (A Study on Trip Distribution Estimation Model's Accuracy: Using Daegu City O-D Tables)

  • 유영근;우용한
    • 대한교통학회지
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    • 제30권5호
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    • pp.43-59
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    • 2012
  • 통행분포 예측시 목표년도가 단기일 경우에는 성장인자모형의 예측 정확도가 높고, 장기 목표년도의 경우에는 중력모형의 예측 정확도가 높은 것으로 인식되어 오고 있다. 이와 같은 예측모형 적용경향에 대한 검정을 위해 본 연구에서는 대구시 3개 년도(1988년, 1992년, 2004년)의 O-D표를 이용하여 통행분포 예측모형들의 정확도를 비교하였다. 비교는 분석 죤이 대죤인 경우와 중죤인 경우에서 예측모형별로 단기 목표년도의 정확도와 장기 목표년도 정확도를 구분하여 행하였다. 비교결과, 통행분포 예측모형의 통상적인 인식과 다른 결과가 있을 수 있다는 것이 규명되었다.

다중비교를 이용한 샘플수와 샘플링 시점수의 원샷 시스템 신뢰도 추정방법 정확성에 대한 영향 분석 (Effect Analysis of Sample Size and Sampling Periods on Accuracy of Reliability Estimation Methods for One-shot Systems using Multiple Comparisons)

  • 손영갑
    • 한국군사과학기술학회지
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    • 제15권4호
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    • pp.435-441
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    • 2012
  • This paper provides simulation-based results of effect analysis of sample size and sampling periods on accuracy of reliability estimation methods using multiple comparisons with analysis of variance. Sum of squared errors in estimated reliability measures were evaluated through applying seven estimation methods for one-shot systems to simulated quantal-response data. Analysis of variance was implemented to investigate change in these errors according to variations of sample size and sampling periods for each estimation method, and then the effect analysis on accuracy in reliability estimation was performed using multiple comparisons based on sample size and sampling periods. An efficient way to allocate both sample size and sampling periods for reliability estimation tests of one-shot systems is proposed in this paper from the effect analysis results.

원샷 시스템의 저장 신뢰성 추정 정확성에 대한 샘플링 시점의 영향 분석 (Influence Analysis of Sampling Points on Accuracy of Storage Reliability Estimation for One-shot Systems)

  • 정용호;오봉식;이홍철;박희남;장중순;박상철
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권1호
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    • pp.32-40
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    • 2016
  • Purpose: The purpose of this study is to analyze the effect of sampling points on accuracy of storage reliability estimation for one-shot systems by assuming a weibull distribution as a storage reliability distribution. Also propose method for determining of sampling points for increase the accuracy of reliability estimation. Methods: Weibull distribution was divided into three sections for confirming the possible to estimate the parameters of the weibull distribution only some section's sample. Generate quantal response data for failure data. And performed parameter estimation with quantal response data. Results: If reduce sample point interval of 1 section, increase the accuracy of reliability estimation although sampling only section 1. Even reduce total number of sampling point, reducing sampling time interval of the 1 zone improve the accuracy of reliability estimation. Conclusion: Method to increase the accuracy of reliability estimation is increasing number of sampling and the sampling points. But apply this method to One-shot system is difficult because test cost of one-shot system is expensive. So propose method of accuracy of storage reliability estimation of one-shot system by adjustment of the sampling point. And by dividing the section it could reduce the total sampling point.

Dysfunction of Time Perception in Children and Adolescents with Attention-Deficit Hyperactivity Disorder

  • Shin, Dong-Won;Lim, Se-Won;Shin, Young-Chul;Oh, Kang-Seob;Kim, Eun-Jin;Kwon, Yun-Young
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제27권1호
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    • pp.48-55
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    • 2016
  • Objectives: Children with attention-deficit hyperactivity disorder (ADHD) may have deficits in time perception, as assessed by the time estimation task and the time reproduction task, however its age-related trajectory is not yet determined. Therefore we examined the correlation between accuracy of time perception tasks and age, and the association between accuracy of estimation tasks and reproduction tasks. Methods: Sixty-three patients with ADHD, aged 8 to 18 years tested the tasks for five time durations (2, 4, 12, 45, and 60 seconds). Accuracy of tasks was assumed differences (absolute values) between raw results of tasks and original time durations. Spearman's correlation analysis was performed to determine correlation between accuracy of time perception tasks and age. Multivariate regression was used to determine the association of accuracy of estimation tasks with accuracy of reproduction tasks. Results: Age showed correlation with accuracy of estimation tasks, but not with that of reproduction tasks. We observed that the higher the accuracy in 12, 45, and 60 seconds duration time reproduction, the higher the accuracy in longer seconds duration time estimation. Conclusion: Age was correlated with time estimation accuracy whereas there was no impact on time reproduction accuracy. Association of each of the two time perception tasks, particularly in longer time duration, suggested specific impairments in time perception.

실내 위치 추정 시스템의 설치비용 최소화와 위치 정확도 개선에 대한 연구 (A Study on Improvement of Location Accuracy and Indoor location estimation system to minimize installation costs)

  • 염진영;강동조;박현주
    • 한국정보통신학회논문지
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    • 제16권5호
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    • pp.1083-1094
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    • 2012
  • 현재 상용화 되어 있는 위치 추정 시스템은 높은 정확도로 다양한 서비스에 폭넓게 사용되고 있다. 그러나 위치추정 시스템은 실내에서 완벽하게 설치하지 않을 경우 위치 추정 정확도가 매우 좋지 않은 경향을 보인다. 본 논문에서는 Location Fingerprint 기법을 활용하여 완벽하게 설치되지 않은 위치 추정 시스템으로부터 얻은 위치 정보를 보정하여 객체의 위치 정확도를 향상시켜 설치비용을 최소화할 수 있는 실내 위치 추정 알고리즘을 제안한다. 본 논문에서는 실내 환경에서 우수한 위치 정밀도를 제공하는 UWB 기반의 Ubisense 시스템을 활용하였다. 결론적으로, 본 논문에서는 위치 추정 시스템에서 측정한 객체의 위치 정보를 보정함으로써 위치 정확도를 향상시킬 수 있었다.

Forward Backward PAST (Projection Approximation Subspace Tracking) Algorithm for the Better Subspace Estimation Accuracy

  • Lim, Jun-Seok
    • The Journal of the Acoustical Society of Korea
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    • 제27권1E호
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    • pp.25-29
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    • 2008
  • The projection approximation subspace tracking (PAST) is one of the attractive subspace tracking algorithms, because it estimatesthe signal subspace adaptively and continuously. Furthermore, the computational complexity is relatively low. However, the algorithm still has room for improvement in the subspace estimation accuracy. In this paper, we propose a new algorithm to improve the subspace estimation accuracy using a normally ordered input vector and a reversely ordered input vector simultaneously.

움직임 추정 정확도가 움직임 보상 부호화에 미치는 영향 (Effects of Motion Estimation Accuracy on the Motion compensated Coding)

  • 김린철;이상욱;김재균
    • 대한전자공학회논문지
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    • 제25권3호
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    • pp.327-334
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    • 1988
  • In this paper, the performance of PRA (pel recurdive algorithm) and BMA(block matching algorithm), which are the most well-known motion estimation techniques, is compared and the effects of the motion estimation accuracy on the motion compensated coding are described. Results of computer simulation on the real images indicate that the TSS (three step search), which is one of the BMA,is slightly better than the PRA in terms of the accuracy however, the required bit rate is 6.6-8.2 Kbps higher that of the PRA because the TSS requires a transmission of motion estimation vectors.

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Spatial Region Estimation for Autonomous CoT Clustering Using Hidden Markov Model

  • Jung, Joon-young;Min, Okgee
    • ETRI Journal
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    • 제40권1호
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    • pp.122-132
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    • 2018
  • This paper proposes a hierarchical dual filtering (HDF) algorithm to estimate the spatial region between a Cloud of Things (CoT) gateway and an Internet of Things (IoT) device. The accuracy of the spatial region estimation is important for autonomous CoT clustering. We conduct spatial region estimation using a hidden Markov model (HMM) with a raw Bluetooth received signal strength indicator (RSSI). However, the accuracy of the region estimation using the validation data is only 53.8%. To increase the accuracy of the spatial region estimation, the HDF algorithm removes the high-frequency signals hierarchically, and alters the parameters according to whether the IoT device moves. The accuracy of spatial region estimation using a raw RSSI, Kalman filter, and HDF are compared to evaluate the effectiveness of the HDF algorithm. The success rate and root mean square error (RMSE) of all regions are 0.538, 0.622, and 0.75, and 0.997, 0.812, and 0.5 when raw RSSI, a Kalman filter, and HDF are used, respectively. The HDF algorithm attains the best results in terms of the success rate and RMSE of spatial region estimation using HMM.