• Title/Summary/Keyword: Mean absolute difference

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Analysis of Empirical Constant of Eddy Viscosity by Zero- and One-Equation Turbulence Model in Wake Simulation

  • Park, Il Heum;Cho, Young Jun;Kim, Tae Yun;Lee, Moon Ock;Hwang, Sung Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.20 no.3
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    • pp.323-333
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    • 2014
  • In this paper, the wakes behind a square cylinder were simulated using two kinds of different turbulence models for the eddy viscosity concept such as the zero- and the one-equation model in which the former is the mixing length model and the latter is the k-equation model. For comparison between numerical and analytical solutions, we employed three skill assessments: the correlation coefficient(r) for the similarity of the wake shape, the error of maximum velocity difference(EMVD) for the accuracy of wake velocity and the ratio of drag coefficient(RDC) for the pressure distribution around the structure. On the basis of the numerical results, the feasibility of each model for wake simulation was discussed and a suitable value for the empirical constant was suggested in these turbulence models. The zero-equation model, known as the simplest turbulence model, overestimated the EMVD and its absolute mean error(AME) for r, EMVD and RDC was ranging from 20.3 % to 56.3 % for all test. But the AME by the one-equation model was ranging from 3.4 % to 19.9 %. The predicted values of the one-equation model substantially agreed with the analytical solutions at the empirical mixing length scale $L=0.6b_{1/2}$ with the AME of 3.4 %. Therefore it was concluded that the one-equation model was suitable for the wake simulation behind a square cylinder when the empirical constant for eddy viscosity would be properly chosen.

Block-based Motion Vector Smoothing for Nonrigid Moving Objects (비정형성 등속운동 객체의 움직임 추정을 위한 블록기반 움직임 평활화)

  • Sohn, Young-Wook;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.6
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    • pp.47-53
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    • 2007
  • True motion estimation is necessary for deinterlacing, frame-rate conversion, and film judder compensation. There have been several block-based approaches to find true motion vectors by tracing minimum sum-of-absolute-difference (SAD) values by considering spatial and temporal consistency. However, the algorithms cannot find robust motion vectors when the texture of objects is changed. To find the robust motion vectors in the region, a recursive vector selection scheme and an adaptive weighting parameter are proposed. Previous frame vectors are recursively averaged to be utilized for motion error region. The weighting parameter controls fidelity to input vectors and the recursively averaged ones, where the input vectors come from the conventional estimators. If the input vectors are not reliable, then the mean vectors of the previous frame are used for temporal consistency. Experimental results show more robust motion vectors than those of the conventional methods in time-varying texture objects.

A Computational Intelligence Based Online Data Imputation Method: An Application For Banking

  • Nishanth, Kancherla Jonah;Ravi, Vadlamani
    • Journal of Information Processing Systems
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    • v.9 no.4
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    • pp.633-650
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    • 2013
  • All the imputation techniques proposed so far in literature for data imputation are offline techniques as they require a number of iterations to learn the characteristics of data during training and they also consume a lot of computational time. Hence, these techniques are not suitable for applications that require the imputation to be performed on demand and near real-time. The paper proposes a computational intelligence based architecture for online data imputation and extended versions of an existing offline data imputation method as well. The proposed online imputation technique has 2 stages. In stage 1, Evolving Clustering Method (ECM) is used to replace the missing values with cluster centers, as part of the local learning strategy. Stage 2 refines the resultant approximate values using a General Regression Neural Network (GRNN) as part of the global approximation strategy. We also propose extended versions of an existing offline imputation technique. The offline imputation techniques employ K-Means or K-Medoids and Multi Layer Perceptron (MLP)or GRNN in Stage-1and Stage-2respectively. Several experiments were conducted on 8benchmark datasets and 4 bank related datasets to assess the effectiveness of the proposed online and offline imputation techniques. In terms of Mean Absolute Percentage Error (MAPE), the results indicate that the difference between the proposed best offline imputation method viz., K-Medoids+GRNN and the proposed online imputation method viz., ECM+GRNN is statistically insignificant at a 1% level of significance. Consequently, the proposed online technique, being less expensive and faster, can be employed for imputation instead of the existing and proposed offline imputation techniques. This is the significant outcome of the study. Furthermore, GRNN in stage-2 uniformly reduced MAPE values in both offline and online imputation methods on all datasets.

Fast and Efficient Search Algorithm of Block Motion Estimation

  • Kim, Sang-Gyoo;Lee, Tae-Ho;Jung, Tae-Yeon;Kim, Duk-Gyoo
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.885-888
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    • 2000
  • Among the previous searching methods, there are the typical methods such as full search and three-step search, etc. Block motion estimation using exhaustive search is too computationally intensive. To apply in practice, recently proposed fast algorithms have been focused on reducing the computational complexity by limiting the number of searching points. According to the reduction of searching points, the quality performance is aggravated in those algorithms. In this paper, We present a fast and efficient search algorithm for block motion estimation that produces better quality performance and less computational time compared with a three-step search (TSS). Previously the proposed Two Step Search Algorithm (TWSS) by Fang-Hsuan Cheng and San-Nan sun is based on the ideas of dithering pattern for pixel decimation using a part of a block pixels for BMA (Block Matching Algorithm) and multi-candidate to compensate quality performance with several locations. This method has good quality performance at slow moving images, but has bad quality performance at fast moving images. To resolve this problem, the proposed algorithm in this paper considers spatial and temporal correlation using neighbor and previous blocks to improve quality performance. This performance uses neighbor motion vectors and previous motion vectors in addition, thus it needs more searching points. To compensate this weakness, the proposed algorithm uses statistical character of dithering matrix. The proposed algorithm is superior to TWSS in quality performance and has similar computational complexity

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Expansion of Sample OD Based on Probe Vehicle Data in a Ubiquitous Environment (유비쿼터스 환경의 프로브 차량 정보를 활용한 표본 OD 전수화 (제주시 시범사업지역을 대상으로))

  • Jeong, So-Young;Baek, Seung-Kirl;Kang, Jeong-Gyu
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.123-133
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    • 2008
  • Information collection systems and applications in a ubiquitous environment has emerged as a leading issue in transportation and logistics. A productive application example is a traffic information collection system based on probe vehicles and wireless communication technology. Estimation of hourly OD pairs using probe OD data is a possible target. Since probe OD data consists of sample OD pairs, which vary over time and space, computation of sample rates of OD pairs and expansion of sample OD pairs into static OD pairs is required. In this paper, the authors proposed a method to estimate sample OD data with probe data in Jeju City and expand those into static OD data. Mean absolute percentage difference (MAPD) error between observed traffic volume and assigned traffic volume was about 22.9%. After removing abnormal data, MAPD error improved to 17.6%. Development of static OD estimation methods using probe vehicle data in a real environment is considered the main contribution of this paper.

Effectiveness and Safety Verification of Brinzolamide Combination Therapy on Primary Open-angle Glaucoma or Ocular Hypertension: A Systematic Review and Meta-analysis Study (브린졸라미드 복합제의 개방각 녹내장 또는 고안압증에 대한 효과 및 안전성 검증: 체계적 문헌 고찰 및 메타분석 연구)

  • Kim, Jin A;Lee, Heeyoung
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.3
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    • pp.205-215
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    • 2021
  • Background: The treatment of primary open-angle glaucoma (POAG) or ocular hypertension (OHT) for intraocular pressure (IOP) reduction is recommended to proceed with the use of the compound. Therefore, this study aimed to evaluate the efficacy and safety of brinzolamide combination therapy on POAG and OHT following the subgroup analysis among types of brinzolamide combined medications. Methods: By June 2019, PubMed, EMBASE and Cochrane Library were searched to find a study that met our inclusion criteria. Based on randomized control trials (RCTs), we collected studies that tested the brinzolamide combination therapy in POAG and OHT patients, and analyzed the literature identified by the results of the study on IOP reduction and adverse reactions. Results: A total of 13 literature was collected to conduct an analysis including 2,197 patients. The intervention included brinzolamide combination therapies, combined with timolol, brimonidine, PGA or combined with both brimonidine and PGA. The analysis showed significant decreasing tendency for values at morning and end treatment per day in the use of brinzolamide combination therapy in the absolute IOP change (mean difference (MD) -1.41; 95% CI -1.92, -0.90; p<0.001 vs. MD -1.46; 95% CI -2.03, -0.89; p<0.00001, respectively). We could see higher adverse reactions in the brinzolamide combination group using intervention (odds ratio 1.43; 95% CI 1.20, 1.71; p<0.0001). Conclusion: Regarding IOP reduction in POAG and OHT patients, brinzolamide combination therapy is more effective but less safe than control treatment, which diverse among types of combined medications. Thus, more individualized therapy should be applied in real-world practice.

Analysis of Solar and Lunar Motions in the Seonmyeong Calendar

  • Lee, Ki-Won
    • Journal of Astronomy and Space Sciences
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    • v.36 no.2
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    • pp.87-96
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    • 2019
  • We investigate solar and lunar motions in the Seonmyeong (SM) calendar that was compiled by Xu, Ang of the Tang dynasty (A.D. 618-907) in China and used for 71 years from 822 to 892. This calendar was also used in Korea during the Goryeo dynasty (A.D. 918-1392) and in Japan for 823 years from 862 to 1684, the longest time among the three countries. Referring to historical documents of China, Korea, and Japan, we analyze the calendrical methods of calculating the daily apparent movements of the Sun and Moon in the SM calendar, which were considered their unequal motions, and compare the movements with the results of modern calculations for three periods in the Goryeo dynasty: 919, 1155, and 1392 years (i.e., the beginning, middle, and ending of the dynasty, respectively). We find that a quadratic equation was employed to obtain the daily movement of the Sun using physical quantities on the instant of each solar term, which was tabulated in its calendar book such as the Goryeosa (History of the Goryeo Dynasty). For quantitative analysis, we compute the mean absolute difference (MAD) of the daily apparent movement between the SM calendar and modern calculations and obtain 0.33, 0.30, and 0.31 arcmin for the periods of 919, 1155, and 1392 years, respectively. Meanwhile, we find relatively large MAD values in the daily movement of the Moon: 0.217, 0.284, and 0.240 degrees for each corresponding year. An interesting point is that the MAD value in the lunar motion shows the maximum in 1155 years, and is the minimum in the solar motion. In conclusion, we believe that this study will facilitate in the understanding of the SM calendar further, particularly in the calendrical methods of calculating sunrise, sunset, and eclipse times.

Estimation of Parking Requirements of an Apartment (공동주택 주차장 설치기준)

  • Oh, Jae Hak;Park, Junsik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4D
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    • pp.451-457
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    • 2009
  • This study verifies parking requirements of an apartment suggested in parking generation law in Korea through analysing the surveyed parking generation rate. It is revealed that the parking requirements according to the gross floor area in parking generation law is similar to the surveyed parking generation rate as an average but the differences of each requirements by region and apartment's size are not significant. Parking generation rate results in strong correlation with the number of household rather than the gross floor area, and the new requirements suggested in this study, based on the number of household, shows significant difference by region and apartment's size, which is consistent with common sense. This study suggests parking requirements of an apartment, based on the number of household, by region and apartment's size for 6 groups. Surveyed parking generation rate of each group is fitted to statistical distribution and the mean value of fitted statistical distribution is suggested as the parking requirements of each group. Parking requirements based on the number of household is easily recognized of its relative and absolute value, and moreover is consistent with the surveyed parking generation rate.

Essential Competencies for Digital Workforce of Provincial Office in Thailand Using Delphi Technique

  • Rujira Rikharom;Wirapong, Chansanam
    • Journal of Information Science Theory and Practice
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    • v.11 no.4
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    • pp.51-81
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    • 2023
  • This study aimed to study its required performance requirements and proposes a competency framework necessary for the digital workforce of the Provincial Offices in Thailand. The specific primary informants were determined as 17 people. The collecting process was performed using the Delphi technique and the electronic Delphi technique in two phases, totaling four rounds. In the first time, a structured interview was used to conduct online interviews for 15 people. Content validation was performed to determine issues of the competency framework essential for the digital workforce with 7-level scaled questionnaires, and then online reviews were collected between 10-15 people (2nd to 4th times). A consensus was found and confirmed four times with descriptive statistics, namely frequency, mean, standard deviation, mode, median, and the absolute value of the difference between mode and median, interquartile range, and application of the conceptual framework. The research findings revealed that the essential competency requirements for the digital workforce were covered in digital literacy (six aspects), digital skills (four aspects), and digital characteristics (four aspects). Consensus was confirmed for 84 issues. Therefore, it was concluded that 61 points for building an essential competency framework for the digital workforce made them effective in using digital technology as a labor-saving instrument, as well as for expanding the breadth of development of digital expertise to include members of the organization's digital practitioner network. This development will benefit government agencies and the private sector, both national and international, in the future.

Excess Deaths During the COVID-19 Pandemic in Southern Iran: Estimating the Absolute Count and Relative Risk Using Ecological Data

  • Mohammadreza Zakeri;Alireza Mirahmadizadeh;Habibollah Azarbakhsh;Seyed Sina Dehghani;Maryam Janfada;Mohammad Javad Moradian;Leila Moftakhar;Mehdi Sharafi;Alireza Heiran
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.2
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    • pp.120-127
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    • 2024
  • Objectives: The coronavirus disease 2019 (COVID-19) pandemic led to increased mortality rates. To assess this impact, this ecological study aimed to estimate the excess death counts in southern Iran. Methods: The study obtained weekly death counts by linking the National Death Registry and Medical Care Monitoring Center repositories. The P-score was initially estimated using a simple method that involved calculating the difference between the observed and expected death counts. The interrupted time series analysis was then used to calculate the mean relative risk (RR) of death during the first year of the pandemic. Results: Our study found that there were 5571 excess deaths from all causes (P-score=33.29%) during the first year of the COVID-19 pandemic, with 48.03% of these deaths directly related to COVID-19. The pandemic was found to increase the risk of death from all causes (RR, 1.26; 95% confidence interval [CI], 1.19 to 1.33), as well as in specific age groups such as those aged 35-49 (RR, 1.21; 95% CI, 1.12 to 1.32), 50-64 (RR, 1.38; 95% CI, 1.28 to 1.49), and ≥65 (RR, 1.29; 95% CI, 1.12 to 1.32) years old. Furthermore, there was an increased risk of death from cardiovascular diseases (RR, 1.17; 95% CI, 1.11 to 1.22). Conclusions: There was a 26% increase in the death count in southern Iran during the COVID-19 pandemic. More than half of these excess deaths were not directly related to COVID-19, but rather other causes, with cardiovascular diseases being a major contributor.