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All Journal International Journal of Electrical and Computer Engineering International Journal of Science and Engineering (IJSE)
Masuma Parvin
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Simulation of Traffic Flow Model with Traffic Controller Boundary Nahid Sultana; Masuma Parvin; Ronobir Sarker; Laek Sazzad Andallah
International Journal of Science and Engineering Vol 5, No 1 (2013)
Publisher : Chemical Engineering Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.526 KB) | DOI: 10.12777/ijse.5.1.25-30

Abstract

This paper considers a fluid dynamic traffic flow model appended with a closure linear velocity-density relationship which provides a first order hyperbolic partial differential equation (PDE) and is treated as an initial boundary value problem (IBVP). We consider the boundary value in such a way that one side of highway treat like there is a traffic controller at that point. We present the analytic solution of the traffic flow model as a Cauchy problem. A numerical simulation of the traffic flow model (IBVP) is performed based on a finite difference scheme for the model with two sided boundary conditions and a suitable numerical scheme for this is the Lax-Friedrichs scheme. Solution figure from our scheme indicates a desired result that amplitude and frequency of cars density and velocity reduces as time grows. Also at traffic controller point, velocity and density values change as desired manner. In further, we also want to introduce anisotropic behavior of cars(to get more realistic picture) which has not been considered here. Doi: 10.12777/ijse.5.1.25-30 [How to cite this article: Sultana, N., Parvin, M. , Sarker, R., Andallah, L.S. (2013). Simulation of Traffic Flow Model with Traffic Controller Boundary. International Journal of Science and Engineering, 5(1),25-30. Doi: 10.12777/ijse.5.1.25-30]
Satisfaction prediction of online education in COVID-19 situation using data mining techniques: Bangladesh perspective Poushy, Lamisha Haque; Bhuiyan, Salauddin Ahmed; Parvin, Masuma; Hossain, Refath Ara; Moon, Nazmun Nessa; Nooder, Jarin; Mahbuba, Ashrarfi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5553-5561

Abstract

This research focuses on the education-based online learning platform. Due to the coronavirus disease (COVID-19) epidemic, online education is gaining global popularity. It has shown how successful it is in investigating the quality of online education at the COVID-19 pandemic situation by 799 students from different academic institutions, schools, colleges, and universities. A Google web form has been utilized as the data gathering mechanism for this survey. This paper perused the prediction of online education through data mining and machine learning approaches in an online program. The data was collected through online questionnaires. To predict online education's satisfaction rate, four different types of classifiers are used e.g., logistic regression classifiers, k-nearest neighbors, support vector machine, naive Bayes classifiers. The key purpose of this research is to find out an answer to a question which is, "are the student's satisfied with starting the new online teaching system, or will it be an ambivalent effect for students in the future?".
Co-Authors Bhuiyan, Salauddin Ahmed Hossain, Refath Ara Laek Sazzad Andallah Mahbuba, Ashrarfi Moon, Nazmun Nessa Nahid Sultana Nooder, Jarin Poushy, Lamisha Haque Ronobir Sarker