CITY UNIVERSITY INTERNATIONAL JOURNAL OF COMPUTATIONAL ANALYSIS
http://cuijca.com/ojs/index.php/ijca
The aim of City University International Journal of Computational Analysis is to encourage scientists, academicians, and students to publish their experimental and theoretical details. City University International Journal of Computational Analysis provides an advanced knowledge platform for the Science and Engineering professionals.en-USfarhadali@cusit.edu.pk (Dr. Farhad Ali)nadeemsheikh@cusit.edu.pk (Nadeem Ahmad Sheikh)Mon, 04 Feb 2019 10:49:15 +0000OJS 2.4.8.3http://blogs.law.harvard.edu/tech/rss60Approximation of First-order Volterra type and Second-Kind Volterra-Fredholm Linear Integro-Differential Equations Using Legendre Spectral Method
http://cuijca.com/ojs/index.php/ijca/article/view/4
<p>The aim of this study is to present the Legendre Spectral method for the approximate solution of First-order Volterra type and second-kind linear Volterra-Fredholm Integro-Differential equations. Furthermore, Gauss-Legendre points are used to collocate the approximate solution. Some numerical examples for both types are presented to show the accuracy of this method.</p>Sami Ullah Khan, Ishtiaq Ali
Copyright (c) 2019 CITY UNIVERSITY INTERNATIONAL JOURNAL OF COMPUTATIONAL ANALYSIS
http://cuijca.com/ojs/index.php/ijca/article/view/4Mon, 04 Feb 2019 10:49:15 +0000Effect of roots and runners in Strawberry Algorithm for optimization Problems.
http://cuijca.com/ojs/index.php/ijca/article/view/3
<p><span><span style="font-family: Times New Roman; font-size: medium;">It is usually diﬃcult for humans to solve a real world problem. Although for million of years nature has its own ways to look into these problems and solve them. Hence, now a days when man made methods do not work in these situations, they turn to Nature for problem solution. Therefore, the so called Nature inspired algorithms/ Heuristics are developing rapidly. Generally it is diﬃcult to ﬁnd the optimum solution of the problem by using Heuristic methods. On the other hand these methods are good in approximating the solution in justiﬁable time. One of such algorithm is known as Strawberry Algorithm (SBA). Here, we propose to investigate the effect of roots and runners in SBA</span></span><span>.</span></p><p><span><span style="font-family: Times New Roman; font-size: medium;">It is usually diﬃcult for humans to solve a real world problem. Although for million of years nature has its own ways to look into these problems and solve them. Hence, now a days when man made methods do not work in these situations, they turn to Nature for problem solution. Therefore, the so called Nature inspired algorithms/ Heuristics are developing rapidly. Generally it is diﬃcult to ﬁnd the optimum solution of the problem by using Heuristic methods. On the other hand these methods are good in approximating the solution in justiﬁable time. One of such algorithm is known as Strawberry Algorithm (SBA). Here, we propose to investigate the effect of roots and runners in SBA</span></span><span>.</span></p>Nudrat Aamir, Mehwish Mushtaq, Mehwish Mushtaq, Rosemeen Riaz, Rosemeen Riaz
Copyright (c) 2019 CITY UNIVERSITY INTERNATIONAL JOURNAL OF COMPUTATIONAL ANALYSIS
http://cuijca.com/ojs/index.php/ijca/article/view/3Mon, 04 Feb 2019 10:49:15 +0000MITIGATION OF DFIG STATOR OUTPUT VARIATION FOR STABLE BATTERY CHARGING
http://cuijca.com/ojs/index.php/ijca/article/view/5
<p>The increasing demand of power for consumers can be met by utilizing both the renewable as well as non-renewable energy resources. Among the renewable energy resources, wind energy is the second largest source, which is used for the conversion to electrical energy. Due the variation in wind speed, the output voltage and power of the wind turbine is not constant. Some loads are too much sensitive to the variation in voltage, obtained from the stator of Doubly Fed Induction Generator (DFIG). In this paper, a new model is proposed and modelled in MATLAB/Simulink using buck-boost converter connected at the input of lithium-ion battery charging system (LIBCS) to compensate the continuous variation of wind to reduce the fluctuations of the output power of wind turbine. The parameter of wind turbine along with our proposed model including buck-boost converter and battery are change such that to achieve the stable output from the system. The model is very effective regarding the reduction in output power fluctuation which leads to very best substitute for local grid user to use this green energy technology. The results are discussed with and without buck-boost converter. To get constant output using buck-boost converter.</p>Muhammad Jehangir Khan, Ikram Shah, Ikram Ullah, Fazl e Subhan
Copyright (c) 2019 CITY UNIVERSITY INTERNATIONAL JOURNAL OF COMPUTATIONAL ANALYSIS
http://cuijca.com/ojs/index.php/ijca/article/view/5Tue, 04 Dec 2018 00:00:00 +0000