• Title/Summary/Keyword: Entropy model

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Sensitivity Analysis on Off-Design Performance of Centrifugal Compressor Due to the Parameters of Two-zone Model and TEIS Model (두영역 모델과 직렬두요소 모델의 변수에 의한 원심 압축기 탈설계 성능의 민감도 분석)

  • Yoon, Sung-Ho;Baek, Je-Hyun
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.24 no.6
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    • pp.834-844
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    • 2000
  • In this study, an off-design performance analysis procedure is developed based on Two-zone model and TEIS model. In Two-zone model, there are both primary zone and secondary zone for an isentropic core flow and an average of all non-isentropic streamtubes respectively. The level of the core flow diffusion in an impeller is calculated by using TEIS model which regards the impeller as two successive rotating elements in series. At impeller exit, the mixing process occurs with an increase in entropy, that is to say, a decrease in total pressure. In loss models including Two-zone and TEIS model, some empirical parameters have a great influence on overall performance curve. So these parameters' influences on the overall performance curve are investigated and compared with experimental data.

Comparing Surplus Production Models for Selecting Effective Stock Assessment Model: Analyzing Potential Yield of East Sea, Republic of Korea (효과적인 자원평가모델 선정을 위한 잉여생산량모델의 비교 분석: 동해 생태계의 잠재생산량 분석을 대상으로)

  • Choi, Min-Je;Kim, Do-Hoon
    • Ocean and Polar Research
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    • v.41 no.3
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    • pp.183-191
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    • 2019
  • This study sought to find which model is most appropriate for estimating potential yield in the East Sea, Republic of Korea. For comparison purposes, the Process-error model, ASPIC model, Maximum entropy model, Observation-error model, and Bayesian state-space model were applied using data from catch amounts and total efforts of the whole catchable fishes in the East Sea. Results showed that the Bayesian state-space model was estimated to be the most reliable among the models. Potential yield of catchable species was estimated to be 227,858 tons per year. In addition, it was analyzed that the amount of fishery resources in 2016 was about 63% of the biomass that enables a fish stock to deliver the maximum sustainable yield.

Efficiency Analysis of ASEAN Ports Using DEA & Shannon's Entropy (DEA결합모형을 활용한 아세안(ASEAN)지역 항만의 효율성 분석)

  • Park, Seonyoul;Kim, Sangyoul;Park, Ho
    • Journal of Korea Port Economic Association
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    • v.33 no.4
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    • pp.1-16
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    • 2017
  • The total container throughput of ASEAN is expected to increase continuously with economic development. However, ASEAN port infrastructure is insufficient to handle the increasing trade volume. According to the World Economic Forum, ASEAN ports except Singapore and Malaysia are ranked in low. Participation in ASEAN port development projects can lead an increase in trade efficiency with S. Korea by improving the port infrastructure of ASEAN countries. In addition, the S. Korean port-related industry can be energized through entering ASEAN port development projects. This study, which measures the efficiency of ASEAN ports, can be used as a basic guideline for the development and the planning of the ports. This study used Data Envelopment Analysis(DEA) and Shannon's Entropy model together to measure ASEAN ports' efficiency. After measuring each DEA (CCR, I-BCC, O-BCC, SBM) weight, the efficiency of ASEAN ports is measured as reflecting each DEA weight. As a result, the ports of Singapore and Malaysia, the major ports in the world, have the highest efficiency. Further, Vietnamese ports need to raise efficiency along with increasing container throughput. Leam Chabang (Thailand), Ho Chi Minh City (Vietnam), and Tanjung Priok (Indonesia) exhibit a negative correlation between container throughput and efficiency; therefore, the ports need to improve so as to maintain competitiveness. Lastly, Cambodia, Myanmar, and Brunei, which do not have active economic development, need to improve their ports for economic development.

Backbone Dynamics and Model-Free Analysis of N-terminal Domain of Human Replication Protein A 70

  • Yoo, Sooji;Park, Chin-Ju
    • Journal of the Korean Magnetic Resonance Society
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    • v.22 no.1
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    • pp.18-25
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    • 2018
  • Replication protein A (RPA) is an essential single-stranded DNA binding protein in DNA processing. It is known that N terminal domain of RPA70 (RPA70N) recruits various protein partners including damage-response proteins such as p53, ATRIP, Rad9, and MRE11. Although the common binding residues of RPA70N were revealed, dynamic properties of the protein are not studied yet. In this study, we measured $^{15}N$ relaxation parameters ($T_1,\;T_2$ and heteronuclear NOE) of human RPA70N and analyzed them using model-free analysis. Our data showed that the two loops near the binding site experience fast time scale motion while the binding site does not. It suggests that the protein binding surface of RPA70N is mostly rigid for minimizing entropy cost of binding and the loops can experience conformational changes.

MEASURE OF DEPARTURE FROM QUASI-SYMMETRY AND BRADLEY-TERRY MODELS FOR SQUARE CONTINGENCY TABLES WITH NOMINAL CATEGORIES

  • Kouji Tahata;Nobuko Miyamoto;Sadao Tomizawa
    • Journal of the Korean Statistical Society
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    • v.33 no.1
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    • pp.129-147
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    • 2004
  • For square contingency tables with nominal categories, this paper proposes a measure to represent the degree of departure from the quasi-symmetry (QS) model and the Bradley-Terry (BT) model. The measure proposed is expressed by using the Cressie and Read (1984)'s power-divergence or Patil and Taillie (1982)'s diversity index. The measure lies between 0 and 1, and it is useful for comparing the degree of departure from QS or BT in several tables.

Research on a Model of Extracting Persons' Information Based on Statistic Method and Conceptual Knowledge

  • Wei, XiangFeng;Jia, Ning;Zhang, Quan;Zang, HanFen
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.508-514
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    • 2007
  • In order to extract some important information of a person from text, an extracting model was proposed. The person's name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person's name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.

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Families of Distributions Arising from Distributions of Ordered Data

  • Ahmadi, Mosayeb;Razmkhah, M.;Mohtashami Borzadaran, G.R.
    • Communications for Statistical Applications and Methods
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    • v.22 no.2
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    • pp.105-120
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    • 2015
  • A large family of distributions arising from distributions of ordered data is proposed which contains other models studied in the literature. This extension subsume many cases of weighted random variables such as order statistics, records, k-records and many others in variety. Such a distribution can be used for modeling data which are not identical in distribution. Some properties of the theoretical model such as moment, mean deviation, entropy criteria, symmetry and unimodality are derived. The proposed model also studies the problem of parameter estimation and derives maximum likelihood estimators in a weighted gamma distribution. Finally, it will be shown that the proposed model is the best among the previously introduced distributions for modeling a real data set.

Group Contribution Method for Group Contribution Method for Estimation of Vapor Liquid Equilibria in Polymer Solutions

  • Oh, Suk-Yung;Bae, Young-Chan
    • Macromolecular Research
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    • v.17 no.11
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    • pp.829-841
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    • 2009
  • This study introduces a specified group-contribution method for predicting the phase equilibria in polymer solutions. The method is based on a modified double lattice model developed previously. The proposed model includes a combinatorial energy contribution that is responsible for the revised Flory-Huggins entropy of mixing, the van der Waals energy contribution from dispersion, a polar force and specific energy contribution. Using the group-interaction parameters obtained from data reduction, the solvent activities for a large variety of mixtures of polymers and solvents over a wide range of temperatures can be predicted with good accuracy. This method is simple but provides improved predictions compared to those of the other group contribution methods.

An ensemble learning based Bayesian model updating approach for structural damage identification

  • Guangwei Lin;Yi Zhang;Enjian Cai;Taisen Zhao;Zhaoyan Li
    • Smart Structures and Systems
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    • v.32 no.1
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    • pp.61-81
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    • 2023
  • This study presents an ensemble learning based Bayesian model updating approach for structural damage diagnosis. In the developed framework, the structure is initially decomposed into a set of substructures. The autoregressive moving average (ARMAX) model is established first for structural damage localization based structural motion equation. The wavelet packet decomposition is utilized to extract the damage-sensitive node energy in different frequency bands for constructing structural surrogate models. Four methods, including Kriging predictor (KRG), radial basis function neural network (RBFNN), support vector regression (SVR), and multivariate adaptive regression splines (MARS), are selected as candidate structural surrogate models. These models are then resampled by bootstrapping and combined to obtain an ensemble model by probabilistic ensemble. Meanwhile, the maximum entropy principal is adopted to search for new design points for sample space updating, yielding a more robust ensemble model. Through the iterations, a framework of surrogate ensemble learning based model updating with high model construction efficiency and accuracy is proposed. The specificities of the method are discussed and investigated in a case study.

A study on the characteristics of inhabitation environment of Hydropotes inermis in Daebudo Island, Ansan-si (안산시 대부도 일대의 고라니 서식환경 특성 연구)

  • Nam, Taek-Woo;Park, Seok-Cheol;Han, Bong-Ho
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.5
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    • pp.45-58
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    • 2020
  • This study was conducted to comprehend the spatial distribution characteristics, habitats and appearances of Hydropotes inermis by using the biotope mapping in Daebudo Island, Ansan-si. The result is base data to understand status and manage potential inhabitation of Hydropotes inermis in Daebudo Island through the Maximum Entropy model. The study used 105 traces from the primary investigation and 452 traces in the secondary investigation. The biotope types were distinquished Hydropotes inermis habitats largest from the order of natural forest (15.1%), natural coast (13.7%), marshy cultivated land (12.6%), and dry cultivated land (11.7%), and from the inhabitation trace results. Hydropotes inermis appearanced biotope types were the greatest in the order of cultivated land (49.73%) > forest (18.85%) > coast (7.00%) > grassland (6.28%). Since forests in Daebudo Island have low slope and altitude, it was concluded that Hydropotes inermis would live in most of the forests. A high number of Hydropotes inermis was found to appear in areas where the grassland is formed including cultivated lands (include unused paddies and fields) and marshy grasslands, which would result in direct damage of crops. According to the Maxent modeling analysis that used location information of Hydropotes inermis, the AUC value was 0.635 based on the ROC curve. In Daebudo Island, areas with over 0.635 potential inhabitation value are distributed all over the place, and it was concluded that each population would have a different scope of influence and home range. Hydropotes inermis living in Daebudo Island have high habitat suitability mainly around the cultivated lands near the roads, but due to the bare lands and roads, it is expected that their habitats would be fragmented and damaged, which would have a direct and indirect effect in maintaining the Hydropotes inermis population. Also, considering habitat disturbance, diverse methods for reducing damage including capturing some individuals within the limit that does not disperse Hydropotes inermis population in Daebudo Island must be carried out.