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Int. J. Simul. Process. Model.最新文献

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Morphological component analysis based on mixed dictionary for signal denoising of ground penetrating radar 基于混合字典的形态成分分析在探地雷达信号去噪中的应用
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025771
Jianhua Zhang, H. Zhang, Y. Li, Xueli Wu
{"title":"Morphological component analysis based on mixed dictionary for signal denoising of ground penetrating radar","authors":"Jianhua Zhang, H. Zhang, Y. Li, Xueli Wu","doi":"10.1504/ijspm.2019.10025771","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025771","url":null,"abstract":"Forward modelling is applied to simulate the ground penetrating radar (GPR) detection environment, and a modified morphological component analysis (MCA) algorithm is applied to GPR signal denoising. Finite-difference time-domain (FDTD) method is used to perform finite difference approximation to the space and time derivatives of Maxwell's equations. Under the forward simulation framework, the MCA algorithm applies a sparse dictionary to decompose the GPR signal. However, clutter is not represented as there is no corresponding sparse dictionary, the clutter is removed when the signal is reconstructed. The core of the MCA is to select a suitable dictionary. The combination of undecimated discrete wavelet transform (UDWT) dictionary and curvelet transform dictionary(CURVELET) is selected. The improved MCA algorithm is compared with singular value decomposition (SVD) and principal component analysis (PCA), to confirm the high performance of the proposed algorithm.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131064005","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
Photovoltaic maximum power point tracking based on IWD-SVM 基于IWD-SVM的光伏最大功率点跟踪
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025773
W. Zhao, Y. Meng
{"title":"Photovoltaic maximum power point tracking based on IWD-SVM","authors":"W. Zhao, Y. Meng","doi":"10.1504/ijspm.2019.10025773","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025773","url":null,"abstract":"Photovoltaic system maximum power point tracking (MPPT) has great potential for improvement of power generation. To optimise MPPT, this paper presents a prediction model based on an intelligent water drops optimisation support vector machine (IWD-SVM) for maximum power point working voltage. The Intelligent Water Drops (IWD) algorithm is used to optimise the penalty factor and kernel function parameters of the SVM, thus improving the training efficiency of the learning machine. Based on the optimisation algorithm, the SVM is used to model the PV array, the prediction results are compared to verify the accuracy and effectiveness of the IWD-SVM model. In addition, the IWD-SVM model is compared with the traditional neural network prediction results, which further verifies the validity of the proposed IWD-SVM model.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132958012","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: 0
A data cleaning method for water quality based on improved hierarchical clustering algorithm 一种基于改进层次聚类算法的水质数据清洗方法
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025772
Qingxuan Meng, Jianzhuo Yan
{"title":"A data cleaning method for water quality based on improved hierarchical clustering algorithm","authors":"Qingxuan Meng, Jianzhuo Yan","doi":"10.1504/ijspm.2019.10025772","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025772","url":null,"abstract":"Identifying and rectifying incomplete water quality data is of vital importance. A data cleaning method based on improved balanced iterative reducing and clustering using hierarchies (BIRCH) clustering algorithm is proposed. The clustering feature tree of water quality data is constructed and the cluster vector of the clustering feature tree is obtained by the agglomerative method. The optimal cluster number is determined according to the Bayesian Information Criterion and the nearest clustering ratio. The Pauta criterion is used to detect the global outlier and artificial neural network (ANN) is used to fill in outliers and missing values. Finally, the improved data cleaning method is applied to water quality monitoring data of Beijing wastewater treatment plant. The experimental results show that the data cleaning method can not only detect abnormal values and missing values accurately, but also normalise and complete missing data.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115252937","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
Error of single-phase proton exchange membrane fuel cell model based on Brinkman-Darcy's law in different flow fields 基于Brinkman-Darcy定律的单相质子交换膜燃料电池模型在不同流场下的误差
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025755
Shizhong Chen, Zhongxian Xia, Xuyang Zhang, Yuhou Wu
{"title":"Error of single-phase proton exchange membrane fuel cell model based on Brinkman-Darcy's law in different flow fields","authors":"Shizhong Chen, Zhongxian Xia, Xuyang Zhang, Yuhou Wu","doi":"10.1504/ijspm.2019.10025755","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025755","url":null,"abstract":"Proton exchange membrane (PEM) fuel cell is an auspicious energy device for the future with high energy efficiency and zero emissions. PEM fuel cell performance can be improved by optimising the flow field using numerical models based on Brinkman-Darcy's law. However, errors made by applying Brinkman-Darcy's law cannot be avoided; errors should be carefully investigated for different flow fields. In this paper, a single-phase PEM fuel cell model based on Brinkman-Darcy's law was developed, considering the effects of flow field on both local electrochemical active area (ECA) and effective permeability. The results showed that the model well predicted the performance of the flow field with a high resolution land width, such as 1 mm, but it over-estimated the performance under the low voltage region when the land width was 2 mm or larger, since the high mass transfer loss was under-estimated by the model.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114309793","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
Simulation of multilateration system based on Chan algorithm and conjugate gradient optimisation algorithm 基于Chan算法和共轭梯度优化算法的multieration系统仿真
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025770
Jianhua Zhang, Feng Gao, Y. Li, Xueli Wu
{"title":"Simulation of multilateration system based on Chan algorithm and conjugate gradient optimisation algorithm","authors":"Jianhua Zhang, Feng Gao, Y. Li, Xueli Wu","doi":"10.1504/ijspm.2019.10025770","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025770","url":null,"abstract":"In multilateration (MLAT) systems, the traditional Chan algorithm applies the theory of time-difference-of-arrival (TDOA) to solve the target position of the mathematical model. By introducing intermediate variables, the algorithm adopts a two-step weighted least-squares solution. The introduction of intermediate variables results in the target position equation producing a fuzzy solution, this reduces positioning accuracy. The conjugate gradient algorithm (CGA) is one of the most useful methods for solving large linear equations, it avoids solving the inverse of the matrix, whilst it 'speeds up' the solution of the target position. A four stations multi-point-positioning system mathematical model is established, and a new fusion algorithm Chan-CGA is applied to the MLAT system. Finally, the fusion algorithm is evaluated by simulation and compared with the Chan-Taylor algorithm.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545312","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: 0
Cloud resource orchestration optimisation based on ARIMA 基于ARIMA的云资源编排优化
Int. J. Simul. Process. Model. Pub Date : 2019-12-09 DOI: 10.1504/ijspm.2019.10025769
Hua Qin, Min Yu, Yingxu Lai, Zenghui Liu, Jing Liu
{"title":"Cloud resource orchestration optimisation based on ARIMA","authors":"Hua Qin, Min Yu, Yingxu Lai, Zenghui Liu, Jing Liu","doi":"10.1504/ijspm.2019.10025769","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025769","url":null,"abstract":"The problem of resources management in the cloud environment, focusing on the platform as a service (PaaS), satisfying the demands of users, and relieving the load on the server in high concurrency, requires attention. After analysing the resource orchestration technology on PaaS, this paper presents a dynamic orchestration optimisation framework based on autoregressive integrated moving average model (ARIMA) model. The architecture is based on an OpenStack infrastructure as a service (IaaS), and combines with Cloudify, a resource orchestration software on the PaaS. Adjustments may be made in advance by predicting the resource consumption in the next time period. Experiments showed that this architecture can effectively shorten the concurrent response time and improve the utilisation of memory.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120864523","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: 0
Developing an evolution software architecture framework based on six dimensions 开发基于六个维度的演进软件体系结构框架
Int. J. Simul. Process. Model. Pub Date : 2019-11-08 DOI: 10.1504/IJSPM.2019.10025207
N. Gasmallah, A. Amirat, M. Oussalah, H. Seridi-Bouchelaghem
{"title":"Developing an evolution software architecture framework based on six dimensions","authors":"N. Gasmallah, A. Amirat, M. Oussalah, H. Seridi-Bouchelaghem","doi":"10.1504/IJSPM.2019.10025207","DOIUrl":"https://doi.org/10.1504/IJSPM.2019.10025207","url":null,"abstract":"With the growing number of software architectural evolution methods, the need to develop a framework based on well defined dimensions to analyse approaches is now a prerequisite for practitioners in order to analyse, compare and classify methods within the field of architectural evolution. In this paper, we propose an evolution framework based on six dimensions for analysing, comparing and classifying existing and future evolution methods. The proposed architectural evolution framework adopts Zachman analytic tool (answering what, why, where, who, when and how questions). The framework relies upon identifying dimensions that researchers would take into account while developing a new evolution approach. The set of the proposed dimensions whether combined or individually can serve as a basis to explore further classification paradigms. The proposed framework is supported by an empirical study that involves surveying and analysing 119 research methods related to the area of architectural evolution.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"EM-15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114126305","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
Performance optimisation of a pharmaceutical production line by integrated simulation and data envelopment analysis 基于综合仿真和数据包络分析的制药生产线性能优化
Int. J. Simul. Process. Model. Pub Date : 2019-11-08 DOI: 10.1504/ijspm.2019.10025218
Naser Habibifar, Mahdi Hamid, Mahdi Bastan, A. Azar
{"title":"Performance optimisation of a pharmaceutical production line by integrated simulation and data envelopment analysis","authors":"Naser Habibifar, Mahdi Hamid, Mahdi Bastan, A. Azar","doi":"10.1504/ijspm.2019.10025218","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025218","url":null,"abstract":"It seems that the use of mathematical models is not suitable for pharmaceutical production line optimisation and the use of simulation leads to better outputs and provides more flexibility than mathematical models. Therefore, in this study, a novel methodology based on the integration of simulation and data envelopment analysis is developed for performance optimisation of a pharmaceutical production line. For this purpose, first, an actual pharmaceutical production line was simulated, verified and validated. Afterwards, Data Envelopment Analysis (DEA) was developed for the scenario analysis. Finally, the weight of each indicator is identified through paired t-test. Results suggested that all the indicators are significant in the production unit. Optimisation model suggested that certain inputs and outputs had to be improved for the performance optimisation of the pharmaceutical unit. This is the first study in which an integrated simulation DEA is used for the performance optimisation of a pharmaceutical unit.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117178254","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: 10
Finite element analysis for engine crankshaft torsional stiffness 发动机曲轴扭转刚度有限元分析
Int. J. Simul. Process. Model. Pub Date : 2019-11-08 DOI: 10.1504/ijspm.2019.103590
R. Fan, Chu-Yuan Zhang, Fang Yin, Cheng-Cheng Feng, Zhendong Ma, Hua-Bing Gong
{"title":"Finite element analysis for engine crankshaft torsional stiffness","authors":"R. Fan, Chu-Yuan Zhang, Fang Yin, Cheng-Cheng Feng, Zhendong Ma, Hua-Bing Gong","doi":"10.1504/ijspm.2019.103590","DOIUrl":"https://doi.org/10.1504/ijspm.2019.103590","url":null,"abstract":"Accurate crankshaft torsional stiffness is important to build the lumped parameter model (LPM) for crankshaft torsional vibration analysis. For the crankshaft system of a four-cylinder in-line gasoline engine, a procedure to build the finite element model (FEM) is presented. And the applicability of two ways to set the equivalent mass or equivalent moment of inertia for piston-rod in FEM is declared. When building a lumped parameter model, the concept of rigid-rotation of the crank pin central section around the central line of the crankshaft is proposed, and a method to obtain the torsional angle of the central section is declared. What is more, three post-processing methods are presented to obtain the torsional stiffness coefficients. According to three load cases of no-load, half load and full load, the tests are carried out. The simulation results of FEM and LPM, and the test results have good agreement with each other.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129908353","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
NB-DEVS: a hybrid approach for modelling and simulation of imperfect systems NB-DEVS:对不完美系统进行建模和仿真的混合方法
Int. J. Simul. Process. Model. Pub Date : 2019-11-08 DOI: 10.1504/ijspm.2019.10025225
Kadda Mostefaoui, Y. Dahmani
{"title":"NB-DEVS: a hybrid approach for modelling and simulation of imperfect systems","authors":"Kadda Mostefaoui, Y. Dahmani","doi":"10.1504/ijspm.2019.10025225","DOIUrl":"https://doi.org/10.1504/ijspm.2019.10025225","url":null,"abstract":"This article presents the NB-DEVS approach for the modelling and simulation of discrete event systems (DES), our objectives are to propose a new formal approach for describing the complex systems involving imperfectly. In our research we propose to integrate the naive Bayesian network (NB) into DEVS formalism. The association of these two formalisms we have allow to extend the classic DEVS formalism to new domains. This new approach permits to study the system when its behaviour is uncertain. Finally, we simulated the evolution of the production system using our NB-DEVS approach. In simulation, we used several different models to replicate the empirical data. From these simulation iterations, we were able to verify and validate our model.","PeriodicalId":266151,"journal":{"name":"Int. J. Simul. Process. Model.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684272","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
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