Chittagong University of Engineering & Technology

About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Renewable energy & Dielectric. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.

Head-on Collision of Ion-Acoustic Shock and Solitary Waves in Collisionless Plasma with Pair Ions and Electrons

Abstract: Unmagnetized collisionless plasma system consisting of positive and negative ions and electrons is considered to study the head-on collision of ion-acoustic shock and solitary waves (IASWs) and its effects on the formation of shock (monotonic and oscillatory) waves and phase shift. The soliton solution is derived from the two-sided Korteweg-de Vries Burger (KdVB) equations. The KdVB equations are obtained using extend Poincare-Lighthill-Kuo (ePLK) method. It is assumed that the negative ions are immobile and the electrons follow the Boltzmann energy distribution in the plasma. The effects of plasma parameters such as density ratios and kinematic viscosities on electrostatic shock profiles, phase shift, amplitudes, and formation of shock (monotonic and oscillatory) as well as on the soliton solution are investigated. It is found that the density ratio of negative to positive ions plays a vital role on the formation of shock waves and phase shift after collision.

A method for video categorization by analyzing text, audio, and frames

Abstract: A video file naturally contains audio, text metadata, and visual content in the form of frames, as it is a series of images with adequate motion. To get an efficient result in video categorization, it is necessary to use and analyze all the available resources. For this reason, in this paper we introduce a video categorization method by examining all the essential elements of video in the form of text, audio, and frames. The proposed method consists of three different modules. These modules are used for analyzing the text, audio, and visual contents to provide the analysis results, which are finally combined to get the final output. A set of fundamental properties are analyzed and compared with standard values acquired from training data set to understand the genre of the videos and eventually tagging it with the most probable category. Besides, we have conducted different tests using the proposed method and the simulation results show that the proposed method effectively categorizes the video sequence.

Exact travelling wave solutions of the coupled nonlinear evolution equation via the Maccari system using novel (G'/G)-expansion method

Abstract: In this article, the novel (G′/G)-expansion method is used to construct exact travelling wave solutions of the coupled nonlinear evolution equation. This technique is uncomplicated and simple to use, and gives more new general solutions than the other existing methods. Also, it is shown that the novel (G′/G)-expansion method, with the help of symbolic computation, provides a straightforward and vital mathematical tool for solving nonlinear evolution equations. For illustrating its effectiveness, we apply the novel (G′/G)-expansion method for finding the exact solutions of the (2 + 1)-dimensional coupled integrable nonlinear Maccari system.