Proceedings of the 10th International Conference on Computer Modeling and Simulation最新文献_第5页

Numerical Analysis of dustproof effect of windbreak net for Coal Yard 煤场防风网防尘效果的数值分析

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3191707

Shiqi Zhao, Qianxi Zhang

引用次数: 0

An Improved Three-stage DEA as Business Intelligence for Benchmarking Luxury Hotels with Environmental Effect 改进的三阶段DEA作为环境效应豪华酒店标杆管理的商业智能

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177489

Long-fei Chen

引用次数: 2

Standard Values of Service Level of Intersection for Collection and Distribution Roads of Container Terminals 集装箱码头集散道路交叉口服务水平标准值

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177475

Ningning Li, Jingjing Yu, Na Chu

引用次数: 0

SW: a blind LSBR image steganalysis technique 一种盲的LSBR图像隐写分析技术

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177488

Saman Shojae Chaeikar, A. Ahmadi

引用次数: 4

Numerical Modelling and Simulation of Ferro Casting Ductile Shear Keys for Precast Concrete Girders 混凝土预制梁铸铁韧性剪切键的数值模拟与仿真

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177479

H. Purnomo, M. Orientilize, R. Nursani, F. Hardjanto

{"title":"Numerical Modelling and Simulation of Ferro Casting Ductile Shear Keys for Precast Concrete Girders","authors":"H. Purnomo, M. Orientilize, R. Nursani, F. Hardjanto","doi":"10.1145/3177457.3177479","DOIUrl":"https://doi.org/10.1145/3177457.3177479","url":null,"abstract":"This paper discusses the numerical modelling and simulation of Ferro casting ductile (FCD) metal shear key, or connector, without epoxy used for joining segmental precast concrete girders. In contrast to other types of cast iron, FCD metals exhibit higher level of ductility. In an effort to identify an optimum shape of an FCD metal shear key the numerical study in this paper investigates the response of four different geometries of full scale FCD metal shear key to shearing force from the concrete members and prestressing force acting in the centreline of the connector. Nonlinear finite element analysis of the shear key and the adjoining concrete members are conducted using ANSYS academic package. The appropriate constitutive relations for the FCD metal and concrete materials are obtained from test results and published values in the literature. The study considers two different magnitudes of prestressing force and two different concrete compressive strengths. Numerical results indicate that introducing a taper onto the forward ring plate of the male part of the shear key results in a significant increase in its load-bearing capacity.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Application of Mathematical Models for Industrial Centrifugal Compressor Optimal Design 数学模型在工业离心压缩机优化设计中的应用

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177468

Y. Galerkin, K. Soldatova, A. Drozdov

{"title":"The Application of Mathematical Models for Industrial Centrifugal Compressor Optimal Design","authors":"Y. Galerkin, K. Soldatova, A. Drozdov","doi":"10.1145/3177457.3177468","DOIUrl":"https://doi.org/10.1145/3177457.3177468","url":null,"abstract":"The authors present the design approach aiming to reach maximum possible efficiency of an industrial centrifugal compressor. To reach the goal the flow coefficient of stages must lie within the range where velocity at an impeller inlet are not more than 0,7 of blade speed. Flow path channels must not be less than 0,05 of an impeller diameter. A loading factor must vary between 0,4 and 0,5. Design limitations are important too. The Universal Modeling Method of effective design and reliable calculation is shortly described. The original two-zone model is being processed by implemented in PC programs to optimize basic dimensions of a flow path and to calculate gas dynamic performances. Q3D calculations are applied to optimize 2D and 3D blade cascades. CFD calculations are used as a finishing operation. Two samples of high effective compressors developed in cooperation with PAO SMPO (Sumy city, Ukraine) are presented. 16 MW booster compressor demonstrated efficiency close to 88% due to proper choice of number of stages'. 32 MW single-stage compressor design was based on most effective scheme and parameters offered by PAO SMPO. The Industrial partner designed, manufactured and tested 1:2 scale model. The tests have verified the project gas dynamic performances with high accuracy. Polytropic efficiency of 90% was reached for the first time in the Authors' design practice.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131595053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Estimating Parameter for the Mixture Generalized Gamma Distribution 混合广义伽玛分布的参数估计

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177492

W. Phaphan

{"title":"Estimating Parameter for the Mixture Generalized Gamma Distribution","authors":"W. Phaphan","doi":"10.1145/3177457.3177492","DOIUrl":"https://doi.org/10.1145/3177457.3177492","url":null,"abstract":"Mixture generalized gamma distribution is a combination of two distributions -- Generalized gamma distribution and length biased generalized gamma distribution. This distribution is presented by Suksaengrakcharoen and Bodhisuwan in 2014. The findings showed that probability density function (pdf) had fairly complexities, so it made problems in estimating parameters. The problem occurred in parameter estimation was that we were unable to calculate estimators in the form of critical expression. Thus, we will use numerical estimation to find the estimators. In this study, we presented a new method of the parameter estimation by using the expectation -- maximization algorithm (EM), the conjugate gradient method, and the quasi-Newton method. The data was generated by acceptance-rejection method which is used for estimating α, β λ and p. λ is the scale parameter, p is the weight parameter, α and β are the shape parameters. We will use Monte Carlo technique to find the estimator's performance. Determining the size of sample equals 30, 100 and the simulation were repeated 20 times in each case. We evaluated the effectiveness of the estimators which was introduced by considering values of the mean squared errors and the bias. The findings revealed that the EM-algorithm had proximity to the actual values determined. Also, the maximum likelihood estimators via the conjugate gradient and the quasi-Newton method are less precision than the maximum likelihood estimators via the EM-algorithm.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134334466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Material Handling System Modeling of a Modern FAB 现代FAB物料搬运系统建模

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177490

Kwanwoo Lee, D. Chang, S. C. Park

引用次数: 1

Symbolic backward simulation of Java bytecode program Java字节码程序的符号逆向模拟

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177480

Tetsuya Inafune, S. Miura, T. Taketa, Y. Hiranaka

引用次数: 1

An Overview on the Application of Self-Adaptive Differential Evolution 自适应差分进化的应用综述

Proceedings of the 10th International Conference on Computer Modeling and Simulation Pub Date : 2018-01-08 DOI: 10.1145/3177457.3177504

Sarah Hazwani Adnan, Shir Li Wang, H. Ibrahim, T. F. Ng

{"title":"An Overview on the Application of Self-Adaptive Differential Evolution","authors":"Sarah Hazwani Adnan, Shir Li Wang, H. Ibrahim, T. F. Ng","doi":"10.1145/3177457.3177504","DOIUrl":"https://doi.org/10.1145/3177457.3177504","url":null,"abstract":"Differential Evolution (DE) is possibly the most current powerful stochastic real-parameter optimization algorithm and has been used in multiple diverse area such as neural networks, logistics, scheduling, modelling and others. Its simplicity, ease of implementation and reliability had captures many practitioners and scientists in implementing the algorithm. As different problems require different parameter setting, the implementation of DE in tackling complex computational optimization problem is quite challenging. Nevertheless, success of the algorithm depends on the ability to choose the right parameter setting based on problems in hand. Thus, extra attention is needed in order to fine tune the perfect parameter for each problem. Self-adaptive Differential Evolution (SADE) algorithm had been introduced in order to simplify the search for the right parameter to be used in DE algorithm. With the introduction of SADE in optimization areas, where the choice of learning strategy and parameter setting do not require predefining, parameter tuning has become less confusing. This paper aims at providing an overview on significant application that have benefited from SADE implementation. SADE had been applied in numerous disciplines such as electromagnetics, power system, computer performance, fermentation, polyester process and more. SADE has also proven to achieve better performance compared to conventional DE algorithm. By collecting and analyzing related articles that have implemented SADE in solving problem, a significant trends on the application of SADE will be provided.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1