{"title":"Modelling public opinion polarisation process considering the influence of initial viewpoint and interaction mode","authors":"Xiaohong Chen","doi":"10.1504/ijcsm.2020.10030829","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10030829","url":null,"abstract":"As an important media, there is often a polarisation of the internet group triggered by hot social topics, and the emotions of netizens will react on the society. These effects are sometimes positive or negative, so it is urgent to conduct in-depth research and study. Behind the polarisation phenomenon is the change of people's attitude towards events, such as convergence, alienation and neutrality. Considering the priority possession theory, this paper focuses on the influence of initial attitude on the evolutionary process. On the basis of J-A model (proposed by Jager and Amblard), the influence function of the initial viewpoint is added, and the computer simulation experiment is carried out and the concrete example is taken for empirical analysis.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115859079","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}
{"title":"Homotopy solution for MHD mixed convective unsteady flow of a Powell-Eyring fluid in a vertical porous space with oscillating wall temperature","authors":"R. Muthuraj, R. Selvi","doi":"10.1504/ijcsm.2020.10030820","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10030820","url":null,"abstract":"In this paper, unsteady magnetohydrodynamic (MHD) flow of Powell-Eyring fluid in a vertical channel with diffusion thermo and thermal diffusion effects in the presence of heat source have been studied. The governing nonlinear, coupled partial differential equations are reduced to ODEs using oscillating parameter and then solved by homotopy analysis method (HAM). The influence of emerging parameters on heat and mass transfer characteristics of the flow are studied. It is found that the velocity of a Non-Newtonian fluid is found to decrease in comparison with Newtonian fluid. Also, it is observed that thermal parameters and Soret number are lead to promote the temperature of the fluid significantly. Increasing magnetic parameter tends to produce oscillating behaviour on volume flow rate whereas uniform depreciation can be noticed with increasing Schmidt number.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931835","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}
{"title":"A new intelligent method for travel path recommendation based on improved particle swarm optimisation","authors":"Si Han","doi":"10.1504/ijcsm.2020.10030828","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10030828","url":null,"abstract":"In order to overcome the problem of increasing fluctuation of Intelligent Tourism data and fuzzy optimal solution, the improved particle swarm optimisation algorithm is introduced to design intelligent tourism path recommendation method. The gray Markov model is used to predict the number of tourist attractions, and the scoring mechanism of tourist attractions is constructed based on multiple perspectives. The constraints are the distance estimation, number prediction, scoring and user preference identification of tourist attractions. The improved particle swarm optimisation algorithm is used to find the optimal solution of recommendation and recommend the tourist path for users. The experimental results show that the average absolute error value of the proposed intelligent travel path recommendation method is 8.13, the inverse relationship between the accuracy and recall rate is clear, and it has better recommendation effect.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"86 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861037","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}
{"title":"Asymmetry approach to study for chemotherapy treatment and devices failure time's data using modified power function distribution with some modified estimators","authors":"A. Zaka, A. Akhter, R. Jabeen","doi":"10.1504/ijcsm.2022.10048625","DOIUrl":"https://doi.org/10.1504/ijcsm.2022.10048625","url":null,"abstract":"In order to improve the already existing models that are used extensively in bio sciences and applied sciences research, a new class of Weighted Power function distribution (WPFD) has been proposed with its various properties and different modifications to be more applicable in real life. We have provided the mathematical derivations for the new distribution including moments, incomplete moments, conditional moments, inverse moments, mean residual function, vitality function, order statistics, mills ratio, information function, Shannon entropy, Bonferroni and Lorenz curves and quantile function. We have also characterized the WPFD, based on doubly truncated mean. The aim of the study is to increase the application of the Power function distribution. The main feature of the proposed distribution is that there is no induction of parameters as compare to the other generalization of the distributions, which are complexed having many parameters. We have used R programming to estimate the parameters of the new class of WPFD using Maximum Likelihood Method (MLM), Percentile Estimators (P.E) and their modified estimators. After analyzing the data, we conclude that the proposed model WPFD performs better in the data sets while compared to different competitor models.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949363","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}
{"title":"Effect on flow characteristics of blood in overlapping stenosed artery considering the axial variation of viscosity using power-law non-Newtonian fluid model","authors":"K. Gujral, S. P. Singh","doi":"10.1504/ijcsm.2020.10029287","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029287","url":null,"abstract":"In the present investigation, a mathematical model is developed to study the effect of non-Newtonian behaviour of blood on overlapping stenosed artery considering power-law fluid model. The constitutive equations of the model are solved analytically with the help of given boundary conditions to get different expressions for flow characteristics such as flow rate, flow resistance and wall shear stress considering no-slip condition at the wall and viscosity variation as axial. The flow of blood is taken to be steady, incompressible, laminar and one-dimensional. In this paper, we have concluded that the flow rate decreases while flow resistance and wall shear stress increases with the increase in stenosis size and also the comparison of these flow characteristics has been done for linear and quadratic variation of viscosity.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653792","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}
{"title":"Computational fluid dynamics simulation for the prediction of the venturi scrubber performance using finite volume method","authors":"Attaullah, M. B. Niazi, M. Ahsan, Majid Ali","doi":"10.1504/ijcsm.2020.10029255","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029255","url":null,"abstract":"The toxicity and severity of particulates and toxic gasses resulting from industrial activities on human health and environment is a major concern worldwide. Venturi scrubber is widely employed to abate the pollutant concentration because of their high removal efficiency. For an accurate and efficient design of venturi scrubber, the complex fluid dynamic behaviour inside the venturi scrubber needs to be understood. The present multiphase Euler-Lagrange CFD study successfully provides a computational model to predict pressure drop and collection efficiency by employing the commercial CFD package FLUENT. Throat gas velocities of 50, 70 and 100 m/s are simulated. Dust particles TiO2 having a diameter of 1 μm and density of 4.23 g/cm3 are used in this simulation work. The gas flow field is resolved in the Eulerian frame of reference while dust and droplet are treated in the Lagrangian framework. The turbulence of is modelled using realisable k-e model, droplet secondary breakup through TAB model and drag coefficient is modelled through dynamic and spherical drag laws. Results of pressure drop and collection efficiency predicted by this model are found to be in good agreement with cited experimental and simulated values.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124530762","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}
{"title":"A new simultaneous extension method for B-spline curves blending with G2-continuity","authors":"Hongyin Yu, Xuegeng Lyu","doi":"10.1504/ijcsm.2020.10029252","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029252","url":null,"abstract":"Curve blending is an extremely common problem in CAD systems. The current blending methods were looking for a third curve to join curves and some of the methods needed to distinguish the transition curve were C-or S-shaped. In this paper, we study a simultaneous extension method to blend curves with G2-continuity. The method simultaneously extends the two curves at one of their endpoints and makes them intersect at a common joint under geometric constraints. The basic concept of B-spline curves and its extension theory is presented firstly. Then we propose the blending algorithm of simultaneous extension. This method does not need to prejudge the shape of transition curves, which is, without considering the placement of two original curves and reduces the number of blending joints from two to one. Four curve blending examples are presented to verify the validity of the new method.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125170897","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}
{"title":"Optimal dynamic pricing for non-instantaneous deteriorating items dependent on price and time demand","authors":"Lisha Wang, Huaming Song, Hui-Ling Yang, Fu Huang","doi":"10.1504/ijcsm.2020.10029251","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029251","url":null,"abstract":"This paper establishes a dynamic pricing model for non-instantaneous deteriorating products to maximise the companies' profit. The demand rate depends on time as well as the sales price. The optimal dynamic price strategy, optimal sale period and the maximal total profit are derived to solve the problem by applying Pontryagin's maximum principle. Meanwhile, uniform pricing and two-part pricing models are introduced to compare with the dynamic pricing model. Finally, numerical examples are carried out to investigate that the dynamic pricing was better than the other two static pricing strategies. Moreover, some managerial conclusions and appropriate measures for decision makers have been obtained by discussing the sensitiveness of the main parameters.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121463921","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}
{"title":"Motor synchronisation control for multistage hot die forging press feed manipulator based on BP-PID controller","authors":"Lin Hong, Yu Sun, Chunping Cao","doi":"10.1504/ijcsm.2020.10029256","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029256","url":null,"abstract":"The rapid development of the automotive industry provides a great opportunity for the development of the forging industry. The multistage precision hot die forging is widely used across the world. In order to improve production efficiency, reduce labour costs, and realise the production automation, a multistage hot die forging press feed manipulator is designed in this paper. The mechanical structure is designed firstly. Then the multi-motor synchronisation control problem is also studied. Based on the adjacent cross-coupling control structure, the BP neural network-PID control algorithm is proposed. Simulation and experiment results show that the BP-PID controller has high control accuracy, a fast convergence speed, and can achieve multi-motor synchronous control effectively. The manipulator designed in this paper has a high practical application value.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128737694","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}
{"title":"Particle swarm optimisation by adding Gaussian disturbance item guided by hybrid narrow centre","authors":"Hui Sun, Z. Deng, Jia Zhao, Haihua Xie","doi":"10.1504/ijcsm.2020.10029258","DOIUrl":"https://doi.org/10.1504/ijcsm.2020.10029258","url":null,"abstract":"This study proposed the optimised PSO algorithm after the addition of Gaussian disturbance guided by hybrid narrow centre. By combining narrow centre and improved narrow centre particles, the hybrid narrow centre can be constructed. In the updating formula of particle velocity, Gaussian disturbance item controlled by hybrid narrow centre is used for replacing self-cognition item. Owing to the guidance of hybrid narrow centre, the convergence is accelerated, while the introduction of Gaussian disturbance can prevent the particles from falling into local optimum. The combination of hybrid narrow centre and Gaussian disturbance can effectively avoid premature convergence and greatly increase convergence rate.","PeriodicalId":399731,"journal":{"name":"Int. J. Comput. Sci. Math.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131334769","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}