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Bivariate spectral quasi-linearisation exploration of heat transfer in the boundary layer flow of micropolar fluid with strongly concentrated particles over a surface at absolute zero due to impulsive 具有强浓缩粒子的微极流体在脉冲作用下的绝对零度表面上边界层流动中传热的二元谱准线性化研究
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016504
S. Motsa, I. L. Animasaun
{"title":"Bivariate spectral quasi-linearisation exploration of heat transfer in the boundary layer flow of micropolar fluid with strongly concentrated particles over a surface at absolute zero due to impulsive","authors":"S. Motsa, I. L. Animasaun","doi":"10.1504/IJCSM.2018.10016504","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016504","url":null,"abstract":"The problem of unsteady micropolar fluid flow over a surface in which the heat energy falls at a lower limit of thermodynamic temperature scale due to impulsive is investigated. In this article, a new spectral method (BSQLM) for solving the partial differential equation is shown to unravel the heat transfer within the boundary layer. Some fluid layers at the free stream were given an impulsive motion in the horizontal direction. The thermal conductivity of the non-Newtonian fluid is assumed to be temperature dependent due to the influence of internal heat source; hence modified to suit the case of melting heat transfer following all the fundamental theories. The mathematical model was non-dimensionalised and parameterised using similarity transformation suitable to unravel the flow at short-time and long-time periods. Smooth transitions within the time frame 0 ≤ ξ ≤ 1 in the domain 0 ≤ η ≤ 1 are observed. The minimum temperature distribution is ascertained when the magnitude of Prandtl number is significantly large.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128898763","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: 16
An efficient fifth-order Steffensen-type method for solving systems of nonlinear equations 求解非线性方程组的有效五阶steffensen型方法
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016507
Anuradha Singh
{"title":"An efficient fifth-order Steffensen-type method for solving systems of nonlinear equations","authors":"Anuradha Singh","doi":"10.1504/IJCSM.2018.10016507","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016507","url":null,"abstract":"In this paper, we present a three-step Steffensen-type iterative method of order five for solving systems of nonlinear equations. Various particular cases of the proposed method are considered. The general form of computational efficiency of the proposed scheme is compared to existing techniques. Numerical examples are given to show the performance of the proposed method with some existing schemes. We observed from the comparison of the new scheme with some known methods that the proposed scheme shows high efficiency index than others.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233926","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: 6
A parameter estimation method for stiff ordinary differential equations using particle swarm optimisation 基于粒子群优化的刚性常微分方程参数估计方法
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016539
William Arloff, Karl R. B. Schmitt, Luke J. Venstrom
{"title":"A parameter estimation method for stiff ordinary differential equations using particle swarm optimisation","authors":"William Arloff, Karl R. B. Schmitt, Luke J. Venstrom","doi":"10.1504/IJCSM.2018.10016539","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016539","url":null,"abstract":"We propose a two-step method for fitting stiff ordinary differential equation (ODE) models to experimental data. The first step avoids integrating stiff ODEs during the unbounded search for initial estimates of model parameters. To avoid integration, a polynomial approximation of experimental data is generated, differentiated and compared directly to the ODE model, obtaining crude but physically plausible estimates for model parameters. Particle swarm optimisation (PSO) is used for the parameter search to overlook combinations of model parameters leading to undefined solutions of the stiff ODE. After initial estimates are determined, the second step numerically solves the ODE. This refines model parameter values through a bounded search. We demonstrate this method by fitting the model parameters (activation energies and pre-exponential factors) of the Arrhenius-based temperature-dependent kinetic coefficients in the shrinking core solid-state chemical kinetics model for the reduction of Cobalt (II, III) Oxide (Co(_3)O(_4)) particles to Cobalt (II) Oxide (CoO).","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115824786","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
Existence and stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales 时变时滞和时间尺度上脉冲效应的fcnn反周期解的存在性与稳定性
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016505
H. Bao
{"title":"Existence and stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales","authors":"H. Bao","doi":"10.1504/IJCSM.2018.10016505","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016505","url":null,"abstract":"This paper deals with the existence and global exponential stability of anti-periodic solutions for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive effects on time scales. Using the theory of coincidence degree, inequality technique and constructing some suitable Lyapunov functional, some sufficient conditions are obtained for the existence and global exponential stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales. These results are less restrictive than those given in the earlier references. Moreover an example is provided to illustrate results obtained.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440568","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: 3
Solving large-scale 0-1 knapsack problem by the social-spider optimisation algorithm 用社会蜘蛛优化算法求解大规模0-1背包问题
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016491
Guo Zhou, Ruixin Zhao, Yongquan Zhou
{"title":"Solving large-scale 0-1 knapsack problem by the social-spider optimisation algorithm","authors":"Guo Zhou, Ruixin Zhao, Yongquan Zhou","doi":"10.1504/IJCSM.2018.10016491","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016491","url":null,"abstract":"This paper uses the social-spider optimisation (SSO) algorithm to solve large-scale 0-1 knapsack problems. The SSO algorithm is based on the simulation of cooperative behaviour of social-spiders. In SSO algorithm, individuals emulate a group of spiders which interact to each other based on the biological laws of the cooperative colony. The algorithm considers two different search agents (spiders): males and females. Depending on gender, each individual is conducted by a set of different evolutionary operators which mimic different cooperative behaviour which are typically found in the colony. The experiment results show that the social-spider optimisation algorithm can be an efficient alternative for large-scale 0-1 knapsack problems.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396790","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: 15
Research on pipeline blocking state recognition algorithm based on mixed domain feature and KPCA-ELM 基于混合域特征和KPCA-ELM的管道阻塞状态识别算法研究
Int. J. Comput. Sci. Math. Pub Date : 2018-10-09 DOI: 10.1504/IJCSM.2018.10016502
Jingzong Yang, Zao Feng, Xiaodong Wang, Guoyong Huang
{"title":"Research on pipeline blocking state recognition algorithm based on mixed domain feature and KPCA-ELM","authors":"Jingzong Yang, Zao Feng, Xiaodong Wang, Guoyong Huang","doi":"10.1504/IJCSM.2018.10016502","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10016502","url":null,"abstract":"Aiming at the problem of recognition on pipeline blockage, a method based on mixed domain feature and KPCA-ELM is proposed. Firstly, the original acoustic impulse response signals are analysed by statistical analysis and local mean decomposition (LMD), in order to construct the mixed domain features, which are made up of time, frequency and time-frequency domain features. Then the kernel principal component analysis (KPCA) is adopted to reduce the high-dimensional features of mixed domain and extract the main features which reflect the operation state of main components. Finally, the main features are input to extreme learning machine (ELM) for state recognition. After the feature extraction by KPCA, the redundancy of input features is eliminated. The simulation results show that KPCA is more sensitive to the nonlinear characteristics of the pipeline blockage signal when compared with PCA. Meanwhile, ELM is superior to BP in terms of classification accuracy and time consuming.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604884","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
Temperature intelligent prediction model of coke oven flue based on CBR and RBFNN 基于CBR和RBFNN的焦炉烟道温度智能预测模型
Int. J. Comput. Sci. Math. Pub Date : 2018-09-13 DOI: 10.1504/IJCSM.2018.10015908
Yang He, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Du Jiang, Honghai Liu
{"title":"Temperature intelligent prediction model of coke oven flue based on CBR and RBFNN","authors":"Yang He, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Du Jiang, Honghai Liu","doi":"10.1504/IJCSM.2018.10015908","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10015908","url":null,"abstract":"The temperature of coke oven is an important process parameter, but it is difficult to obtain the temperature of the vertical flue in real-time. The establishment based on the case-based reasoning (CBR) and radial basis function neural network (RBFNN) of coke oven flue temperature intelligent prediction model, realise the real-time prediction of the temperature, and help to realise the coke oven production process of intelligent optimisation control. The real-time forecast under different conditions is realised by the selective intelligent forecasting model of the coke oven, and the forecasting performance of system model is simulated. The results show that the forecasting model is faster and more reliable than the traditional artificial forecast. Finally, combining with the actual data of a steel enterprise to verify, the results show that the model meet the actual working condition, it can provide relevant processing methods for the soft measurement of complex industrial production control process, and it has some practical significance for intelligent optimisation control.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129593527","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: 5
A linear time-dependent deteriorating inventory model with linearly time-dependent demand rate and inflation 具有线性时变需求率和通货膨胀率的线性时变恶化库存模型
Int. J. Comput. Sci. Math. Pub Date : 2018-09-13 DOI: 10.1504/IJCSM.2018.10015906
R. Tripathi, M. Kaur
{"title":"A linear time-dependent deteriorating inventory model with linearly time-dependent demand rate and inflation","authors":"R. Tripathi, M. Kaur","doi":"10.1504/IJCSM.2018.10015906","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10015906","url":null,"abstract":"This paper considers inventory model for linearly time-dependent deteriorating items with linearly time dependent demand. Inflation is also taken into account. The model discusses allowable shortages. Mathematical model has been derived to obtain the optimal cycle time and optimal total average cost for items. The objective of this is to minimise the total average cost. Numerical examples are provided to validate the proposed model. Results are also illustrated with the help of sensitivity analysis.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099112","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: 6
Tactile sensing and feedback in SEMG hand 手部表面肌电信号的触觉感知和反馈
Int. J. Comput. Sci. Math. Pub Date : 2018-09-13 DOI: 10.1504/IJCSM.2018.10015910
Leilei Zhang, Zujia Zheng, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Bo Tao, Shuang Xu, Hui Yu, Honghai Liu
{"title":"Tactile sensing and feedback in SEMG hand","authors":"Leilei Zhang, Zujia Zheng, Gongfa Li, Ying Sun, Guozhang Jiang, Jianyi Kong, Bo Tao, Shuang Xu, Hui Yu, Honghai Liu","doi":"10.1504/IJCSM.2018.10015910","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10015910","url":null,"abstract":"Active hand prostheses controlled using surface electromyography (SEMG) signals have been used for decades to restore the grasping function. Amputees with myoelectric hands wish to control the prostheses according to their own will and act like human hands as much as possible. Therefore, substantial research efforts have been put forth to advance the control of myoelectric hands. However, the tactile sensing and feedback of the myoelectric hands are still missing, thus limit hand grasp capabilities. In fact, integration of tactile sensing and feedback with hand prostheses plays an important role in improving the manipulation performance and enhancing perceptual embodiment for users. This paper reviews current state-of-the-art of tactile sensing technologies, including tactile sensor types and integration methods. Then, it introduces the basic theory of SEMG signals and presents an overview of the sensory feedback employed to prosthetic hand. The paper concludes with a detailed discussion of challenging issues and future developments.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583205","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
The fully-implicit finite difference method for solving nonlinear inverse parabolic problems with unknown source term 求解源项未知的非线性逆抛物型问题的全隐式有限差分法
Int. J. Comput. Sci. Math. Pub Date : 2018-09-13 DOI: 10.1504/IJCSM.2018.10015907
H. D. Mazraeh, R. Pourgholi, Sahar Tavana
{"title":"The fully-implicit finite difference method for solving nonlinear inverse parabolic problems with unknown source term","authors":"H. D. Mazraeh, R. Pourgholi, Sahar Tavana","doi":"10.1504/IJCSM.2018.10015907","DOIUrl":"https://doi.org/10.1504/IJCSM.2018.10015907","url":null,"abstract":"A numerical procedure based on a fully implicit finite difference method for an inverse problem of identification of an unknown source in a heat equation is presented. The approach of the proposed method is to approximate unknown function from the solution of the minimisation problem based on the overspecified data. This problem is ill-posed, in the sense that the solution (if it exist) does not depend continuously on the data. To regularise this ill-conditioned, we apply the Tikhonov regularisation 0th, 1st and 2nd method to obtain the stable numerical approximation to the solution. A stability analysis shows that this numerical scheme approximation is unconditionally stable. Numerical results for two inverse source identification problems show that the proposed numerical algorithm is simple, accurate, stable and computationally efficient.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124938963","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
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