• Title/Summary/Keyword: Correlation efficiency

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A Fast Inter-prediction Mode Decision Algorithm for HEVC Based on Spatial-Temporal Correlation

  • Yao, Weixin;Yang, Dan
    • Journal of Information Processing Systems
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    • v.18 no.2
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    • pp.235-244
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    • 2022
  • Many new techniques have been adopted in HEVC (High efficiency video coding) standard, such as quadtree-structured coding unit (CU), prediction unit (PU) partition, 35 intra-mode, and so on. To reduce computational complexity, the paper proposes two optimization algorithms which include fast CU depth range decision and fast PU partition mode decision. Firstly, depth range of CU is predicted according to spatial-temporal correlation. Secondly, we utilize the depth difference between the current CU and CU corresponding to the same position of adjacent frame for PU mode range selection. The number of traversal candidate modes is reduced. The experiment result shows the proposed algorithm obtains a lot of time reducing, and the loss of coding efficiency is inappreciable.

The Effect of Instrumental Activities of Daily Living Program on General Self-Efficacy, Motivation for Rehabilitation, Social Support in a Patient with Subacute Stroke (도구적 일상생활 프로그램이 회복기 뇌졸중 환자의 자기효능감, 재활 동기, 사회적 지지에 미치는 영향)

  • Choi, Minkyung
    • Journal of The Korean Society of Integrative Medicine
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    • v.7 no.3
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    • pp.11-19
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    • 2019
  • Purpose : The purpose of this study is to examine the effect of instrumental-activity of daily living program on a patient with subacute stroke in the view of self-efficiency, motivation for rehabilitation, social support. Methods : Eight stroke patients who attended instrumental-activity of daily living program at P hospital in Busan Metropolitan City from march 2018 to January 2019 were recruited. Instrumental-activity of daily living program was offered to 8 stroke patients 1 session (at least 1 hours) a day, 5 times a week, for 4~5 weeks. The instrumental-activity of daily living program was based on occupational therapy practice framework (OTPF) and international classification of functioning, disability and health (ICF). We evaluated self-efficacy, rehabilitation motivation, social support before and after intervention. Self-efficacy was evaluated using the general self-efficacy scale. The collected data was processed using SPSS 20.0 and were analyzed using descriptive statistics, Wilcoxon signed rank test, Pearson's correlation coefficient. Results : There were statistically significant differences in self-efficiency, rehabilitation motivation, social support between before and after instrumental-activity of daily living program (p<.05). Examining the correlation between the self-efficiency, rehabilitation motivation and social support of the stroke patient, there was a correlation between the self-efficiency and social support (p<.05). Conclusion : This study showed that the instrumental-activity of daily living program have positive effects on self-efficacy, rehabilitation motivation, social support. When considering the instrumental-activity of daily living program with improved self-efficacy, rehabilitation motivation, social support of the participants, we suggest that further studies will be needed to examine more extensive instrumental-activity of daily living and rehabilitation to the society with a larger sample size.

Efficiency Analysis of Construction Firms Using a Combined AHP and DEA Model (AHP와 DEA 결합모델을 이용한 상장 건설기업의 효율성 분석)

  • Seo, Kwang-Kyu;Choi, Da-Young
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.302-310
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    • 2011
  • Recently, many construction firms fall on hard times because construction business continues to stagnate. In this paper, we analyze the efficiency of the listed construction firms using a combined AHP and DEA model. In order to determine the input and output factors of DEA, the AHP model is applied to evaluate the importance of input and output factors. The benchmarking companies and efficiency value for the construction firms with inefficiency are also provided to improve the their efficiency. We analyzed the 57 listed companies consisted of 36 listed on KOSPI and 21 listed on KOSDAQ at the end of 2009. The analysis results show that eleven companies whose values of CCR are 1, and fourteen enterprises whose values of BCC efficiency are 1. In additions, the eleven firms have the scalability efficiency. Finally, we test the correlation between efficiency and the stock price and the correlation coefficient of efficiency group is 0.7 in the CCR model.

DEA를 이용한 통신 사업자의 효율성 측정에 관한 연구

  • 김찬규;김현종
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.213-217
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    • 2001
  • This paper deals with the estimation of efficiency of Telecommunication Operators(TOs) using DEA (Data Envelopment Analysis). The measure of efficiency using DEA accomplishes next two steps. First, the efficient frontier is derived using the data of input and output. And then the efficiency of the decision making units are measured by the distances from this frontier To measure efficiency, we consider a one-output, three-input production function. We use the tangible assets, investment cost, the number of employees for input data and measure the output by the revenue. After measuring the efficiency, We can compare the domestic TOs with the international TOs and the wire TOs with wireless ones by average efficiency. After accomplishing the analysis of efficiency, the internal/external efficiency is measured simultaneously through correlation between efficiency and profitability, quality level.

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The efficiency of national maritime logistics for 29 ocean countries: using super-efficiency DEA

  • 최정원;김창수;서영준
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.198-200
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    • 2022
  • With the expansion of the global supply chain, the efficiency of maritime logistics is considered a crucial factor for countries' trade and competitiveness. Nevertheless, prior research has not thoroughly evaluated the efficiency of maritime logistics, including countries' ports and shipping capacities. Accordingly, this study examines integrated maritime logistics efficiency at the national level using DEA-CCR, BCC, and super-efficiency DEA. Furthermore, this study identifies a difference between the selected countries' maritime logistics efficiency and LPI (Logistics Performance Index) through Spearman's correlation test as an ad-hoc analysis. From this, Asian countries showed higher efficiency and European countries showed higher LPI scores. These results might be derived from this difference in port-city development patterns. Additionally, the main cause of inefficiency in Europe and Japan might be attributed to high fleet capacity of control. Consequently, this study can provide valuable implications for coastal countries to set more efficient directions for maritime logistics investment and policy.

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An Overload Detecting Method for an Excavator Based on the Correlation Function (상관함수 기반 굴삭기용 과부하 검출 기법)

  • Yu, Chang-Ho;Ko, Nam-Kon;Choi, Jae-Weon;Seo, Young-Bong
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.7
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    • pp.703-710
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    • 2010
  • In this paper, an overload detecting algorithm for an excavator is presented. The proposed overload detecting algorithm is based on the time series analysis especially correlation function. The main purpose of this paper is to prevent damage or crack from the fatigue loaded on an excavator in advance. Generally, the larger data, the longer processing time, and the amount of the data used in this paper are also large, especially every sampling period, 1600 data are gathered and calculated. So this paper focuses on minimizing the number of required sensors by using the correlation function. From the cross correlation function, similar pattern sensors are eliminated and dissimilar pattern sensors are considered, and from the auto correlation function, the overload can be detected. To prove the efficiency of the proposed overload detecting algorithm, this paper shows the computer simulation results.

Dynamics of Functional Genes and Bacterial Community during Bioremediation of Diesel-Contaminated Soil Amended with Compost

  • Hyoju Yang;Jiho Lee;Kyung-Suk Cho
    • Journal of Microbiology and Biotechnology
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    • v.33 no.4
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    • pp.471-484
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    • 2023
  • Compost is widely used as an organic additive to improve the bioremediation of diesel-contaminated soil. In this study, the effects of compost amendment on the remediation performance, functional genes, and bacterial community are evaluated during the bioremediation of diesel-contaminated soils with various ratios of compost (0-20%, w/w). The study reveals that the diesel removal efficiency, soil enzyme (dehydrogenase and urease) activity, soil CH4 oxidation potential, and soil N2O reduction potential have a positive correlation with the compost amendment (p < 0.05). The ratios of denitrifying genes (nosZI, cnorB and qnorB) to 16S rRNA genes each show a positive correlation with compost amendment, whereas the ratio of the CH4-oxidizing gene (pmoA) to the 16S rRNA genes shows a negative correlation. Interestingly, the genera Acidibacter, Blastochloris, Erythrobacter, Hyphomicrobium, Marinobacter, Parvibaculum, Pseudoxanthomonas, and Terrimonas are strongly associated with diesel degradation, and have a strong positive correlation with soil CH4 oxidation potential. Meanwhile, the genera Atopostipes, Bacillus, Halomonas, Oblitimonas, Pusillimonas, Truepera, and Wenahouziangella are found to be strongly associated with soil N2O reduction potential. These results provide useful data for developing technologies that improve diesel removal efficiency while minimizing greenhouse gas emissions in the bioremediation process of diesel-contaminated soil.

A Comparative Study of Technological Forecasting Methods with the Case of Main Battle Tank by Ranking Efficient Units in DEA (DEA기반 순위선정 절차를 활용한 주력전차의 기술예측방법 비교연구)

  • Kim, Jae-Oh;Kim, Jae-Hee;Kim, Sheung-Kown
    • Journal of the military operations research society of Korea
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    • v.33 no.2
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    • pp.61-73
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    • 2007
  • We examined technological forecasting of extended TFDEA(Technological Forecasting with Data Envelopment Analysis) and thereby apply the extended method to the technological forecasting problem of main battle tank. The TFDEA has the possibility of using comparatively inefficient DMUs(Decision Making Units) because it is based on DEA(Data Envelopment Analysis), which usually leads to multiple efficient DMUs. Therefore, TFDEA may result in incorrect technological forecasting. Instead of using the simple DEA, we incorporated the concept of Super-efficiency, Cross-efficiency, and CCCA(Constrained Canonical Correlation Analysis) into the TFDEA respectively, and applied each method to the case study of main battle tank using verifiable practical data sets. The comparative analysis shows that the use of CCCA with TFDEA results in very comparable prediction accuracies with respect to MAE(Mean Absolute Error), MSE(Mean Squared Error), and RMSE(Root Mean Squared Error) than using the concept of Super-efficiency and Cross-efficiency.

A Study of High Particle Collection Efficiency of Cyclone (고효율 사이클론의 집진효율에 관한 연구)

  • Chung, Jin-Do;Lee, Sang-Gwon;Bohnet, M.
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.2227-2232
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    • 2003
  • For a reasonable analysis of grade efficiency of cyclone separator, in-line measurements of particle size and particle concentration are needed. The purpose of this study is to define the correlation of measurement data and to measure grade efficiency and pressure drop. The authors adapted that the grade efficiency could be calculated directly from the counted particle numbers. The problem of collection efficiency calculation was different from counting rate of aerosol counters under the same conditions. It is important factor to use the rate of the particle counters to obtain reliable results. Therefore, the authors should use and calculate compensation factor considering sensitivity of aerosol counters, gas velocity and concentration affect higher 30% than originally measured grade efficiency. As the pressure drop and grade efficiency increase, as flow rate increase and then also pressure drop and grade efficiency increase.

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The Efficiency and Business Strategy of Contract-Foodservice Operations using Data Envelopment Analysis (DEA기법을 도입한 위탁 급식 점포의 효율성과 사업 전략에 관한 연구)

  • Choi, Kyu-Wan;Park, Ju-Yeon
    • Journal of the East Asian Society of Dietary Life
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    • v.17 no.5
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    • pp.727-737
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    • 2007
  • The aims of this study was to suggest a new efficiency measurement indicator for evaluating the management efficiency of decision making units(DMUs) in the contract foodservice industry. The data envelopment analysis(DEA) model which considers multiple inputs and outputs and looking for benchmarks, was used to compare the productivity of DMUs. We considered sales, profits, and customer satisfaction as output variables and it adopted food cost, labor cost and administrative expense as input variables. The results of applying DEA revealed relatively efficient types of business and service types. The efficiency of school units was highest and the mired service type was the most efficient one. In this study the CCR model efficiency was analysed with profit and the customer satisfaction index by the matrix method. DEA efficiency was correlated with profit but there was no correlation between DEA efficiency and the customer satisfaction index.

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