Institution
Chittagong University of Engineering & Technology
Education•Chittagong, Bangladesh•
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.
Papers published on a yearly basis
Papers
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01 Jan 2013TL;DR: In this paper, a framework is proposed for detecting stairway regions from stair images using a natural property of stair, where steps of a stair appear sorted by their length from top to bottom of the stair.
Abstract: Detection of stair region from a stair image is very crucial for autonomous climbing navigation and alarm system for blinds and visually impaired. In this regard, a framework is proposed in this paper for detecting stairways from stair images. For detection of the stair region, a natural property of stair is utilized that is steps of a stair appear sorted by their length from top to bottom of the stair. Based on this idea, initially, horizontal edge detection is performed on the stair image for detecting stair edges. In second step, longest horizontal edges are extracted from the edge image through edge linking. In third step, longest increasing subsequence (LIS) algorithm is applied on the horizontal edge image for extracting stair edge. Finally, the vanishing point is calculated from these sets of horizontal lines to confirm the detection of stair candidate region. Various stair images are used with a variety of conditions to test the proposed framework and results are presented to prove its effectiveness.
6 citations
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TL;DR: In this paper, a simple computational strategy for finite-element implementation of a finite-strain visco-hyperelasticity model for rubber-like materials was developed.
Abstract: A simple computational strategy for finite-element implementation of a finite-strain viscohyperelasticity model for rubber-like materials was developed. The constitutive model has had a strong physical significance because of the explicit consideration of the nonlinear dependence of viscosity through internal variables (e.g., past maximum overstress and current deformation). To simulate the stress-strain response for particular one-dimensional boundary value problems, a scheme for solving the first-order differential equation representing the viscosity-induced strain-rate effect of rubber was proposed. The scheme was successful in reproducing experimental results obtained from high-damping rubber specimens. In addition, the wider applicability of the proposed strategy in simulation was tested by verifying the numerical results with independent experiments on full-scale high-damping rubber bearings with different geometries and loading rates. The effect of shape factor on bearing responses was exam...
6 citations
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TL;DR: In this paper, the authors investigated the single and overtaking collision of multi-shock wave excitations having space fractional evolution in a thin viscoelastic tube filled with incompressible inviscid fluid.
Abstract: The present work investigates the single and overtaking collision of multi-shock wave excitations having space fractional evolution in a thin viscoelastic tube filled with incompressible inviscid fluid. The previously proposed model equations are considered to study such physical scenarios. The spatial fractional Burgers equation is formulated by implementing the reductive perturbation method form the considered model equations. The new analytical solutions for single and overtaking collision of multi-shocks are constructed by implementing the rational exponential functions directly. With the changes of physical parameters, the behaviors of single and overtaking collision of multi-shocks are displayed graphically and described physically. It is found that the overtaking collisions of multi–shocks are produced with the presence of beta nonlocal operator. The single and interactions of multi-shocks are also significantly changed with the change of physical parameters. The obtained results are very useful in describing the nature of overtaking collision of multi-shocks in various environments, particularly in large blood vessels and further laboratory studies.
6 citations
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TL;DR: In this article, a supervised learning model and a semi-supervised transfer learning model were proposed for the classification of driving maneuvers from the sensor fusion time series data. But, the classification performance of the proposed models was not compared with the other existing approaches.
Abstract: With the increasing number of vehicles, the usage of technology has also been increased in the transportation system. Although automobile companies are using advanced technologies to develop high performing transports, traffic safety still remains to be a concerning issue. Drivers’ driving behavior is considered as one of the key factors of the traffic safety, which could be monitored from their individual driving maneuvers. In this paper, we present a supervised learning model and a semi-supervised transfer learning model for the classification of driving maneuvers from the sensor fusion time series data. The semi-supervised model consists of an unsupervised long-short term memory (LSTM) autoencoder and a supervised LSTM classifier. The supervised model consists of a supervised LSTM model. Because of using LSTM, both of the models can analyze time-series data. In the semi-supervised model, the LSTM encoder learns from unlabeled data as a compressed low dimensional feature vector, which then transfers the learning to the supervised LSTM classifier to classify the driving maneuvers. With the proposed models, we use domain specific knowledge data of the driving environment, such as data changing rules of various driving maneuvers as well as the temporal features over time. We use class functions for seven driving maneuver types and convert those into binary feature vector to use with the LSTM models. We present a comparative analysis of the per class accuracy of the proposed semi-supervised and supervised models with and without using domain-specific knowledge, where the models with the domain specific knowledge outperform. Our proposed semi-supervised and supervised models are compared with the other existing approaches, where our models trained with the domain specific knowledge provided better performance. We also compared the per class accuracy for both the supervised and semi-supervised models, where all the maneuver class accuracy for supervised model was above 98% and semi-supervised model was above 95%. Although the supervised model outperforms the semi-supervised model, the semi-supervised model would be more beneficial in applications where the labeled driving maneuvers data are hard to capture or insufficient.
6 citations
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TL;DR: In this paper, the authors deal with the interaction of complex short wave envelope and real long wave described by the coupled Schrodinger-Boussinesq equation with variable-coefficients and beta space fractional evolution.
Abstract: This work deals with the interaction of complex short wave envelope and real long wave described by the coupled Schrodinger–Boussinesq equation with variable-coefficients and beta space fractional evolution. The above interacting wave phenomena are studied by evaluating new non-autonomous analytical solutions of the considered coupled equation. The solutions of the equations are obtained by modifying the auxiliary ordinary differential equation method and taking the conformable beta derivative properties into account. The behaviors of the resonance nonautonomous structures are discussed with physical insight for diverse consideration of the chance functions of time-dependent in the solutions.
6 citations
Authors
Showing all 1219 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mohammad Rashed Iqbal Faruque | 29 | 288 | 2969 |
Ashraf Uz Zaman | 28 | 147 | 2704 |
Nusrat Jahan | 26 | 173 | 2127 |
M.M.K. Bhuiya | 22 | 45 | 1925 |
Iqbal H. Sarker | 20 | 100 | 1100 |
M. A. Ali | 20 | 87 | 1155 |
Scott Arthur | 19 | 106 | 1963 |
Mohammed Nazrul Islam | 17 | 124 | 905 |
M. G. Hafez | 16 | 60 | 735 |
Mohammad Mahbubur Rahman | 16 | 44 | 779 |
Khizir Mahmud | 15 | 54 | 851 |
Mohammad Alamgir Hossain | 15 | 62 | 638 |
J. U. Ahamed | 15 | 47 | 1151 |
Md. Mukter Hossain | 14 | 46 | 593 |
Kaushik Deb | 14 | 97 | 833 |