Lasker Ershad Ali

Khulna University

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i-10 index

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Co-Authors

Raju Roy

Khulna University

Md. Zahidul Islam

Independent University

Ariful Islam

Khulna University

Jinwen Ma

Peking University

Kazi Shah Nawaz Ripon

OsloMet – Oslo Metropolitan University

Biplab Madhu

Khulna University

Arnab Mukherjee

Indian Institute of Technology Patna

M.A. Rahman

Universiti Teknologi MARA

G.M. Mamun-Al-Imran

Khulna University

Md. Ahsan Ullah

Khulna University

Cooperative Institutions

Khulna University

Bangladesh University of Engineering and Technology

University of Newcastle Australia

University of Dhaka

Pabna University of Science and Technology

Bangabandhu Sheikh Mujibur Rahman Science and Technology University

Dhaka University of Engineering & Technology

Daffodil International University

Bangladesh Agricultural University

Khulna University of Engineering and Technology

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Depth Motion Map Based Human Action Recognition Using Adaptive Threshold Technique

2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2021)

Biplab Madhu Arnab Mukherjee Md. Zahidul Islam G.M. Mamun-Al-Imran Raju Roy

Nowadays, human action recognition (HAR) has become an emerging research topic for movie understanding, video clip retrieval, human-computer interactions, autonomous driving systems etc. This paper introduces an efficacious feature representation strategy and novel framework for identifying human action by employing depth motion maps (DMMs) based on adaptive thresholding technique. Firstly, each 3D depth frame is projected onto three orthogonal Cartesian planes to form 2D projected maps and concatenating the front view, side view and top view to generate the DMM features.The DMMs capture the motion characteristics from the video sequence. After that, we have adopted adaptive thresholding for separating image objects from video sequence based on pixel intensities so that the radial basis kernel based support vector machine (SVM) are used to classify and recognize the action sequences effitively. We carried out the experiment on MSR-Action3D action dataset and evaluated the classification performance by measuring confusion matrices to provide details and visualization about recognized actions. From the experimental results, we reveal that the proposed framework attains always better performance than other competitive methods on this database.

Kernel (algebra)

Representation

Feature (linguistics)

Sequence (biology)

10.1109/eict54103.2021.9733611

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Citations (1)

Numerical Study on Transient Flow of Micropolar Fluid in a Non-Darcy Porous Medium in the Presence of Magnetic Field

International Journal of Heat and Technology (2022)

Ariful Islam Badhan Das Lasker Ershad Ali M.A. Rahman

A computational analysis on transient magnetohydrodynamics micropolar fluid flow through a non-Darcy porous medium has been investigated. A computer code based on finite difference technique was developed in Fortran programming language with the objective to analyze the behavior of fluid flow in a porous medium for the non-Darcy case. Two-dimensional mathematical model of the problem has been utilized to obtain the non-similar solutions. The finite difference technique was used to explicitly solve the dimensionless equations of fluid velocity, temperature, angular velocity, and concentration to study the behavior of the system for various parameters. In addition, the stability of the system has been performed and obtained that the system converged for the values of Prandtl and Schmidt number greater than and equal to 0.03. The behavior of the system was studied for non-dimensional time ranging from 0 to 80 for a small-time step of 0.005. The most significant influence of various parameters on fluid velocity, temperature, angular velocity, and concentration profiles within the boundary layer have represented graphically and discussed qualitatively. It was found that the system reached to a steady state at the time greater than or equal to 75.

Dimensionless quantity

Transient (computer programming)

Darcy's law

Fortran

10.18280/ijht.400506

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Citations (3)

Customized K-Means Clustering Based Color Image Segmentation Measuring PRI

2021 International Conference on Electronics, Communications and Information Technology (ICECIT) (2021)

Md. Zahidul Islam Shamsun Nahar Syed Mujibul Islam Saria Islam Arnab Mukherjee

Image segmentation has been considered as one of the most important tool for image processing in many application of computer vision, remote sensing, medical science and so on. The principle target of image segmentation is the way toward partitioning an image into various fragments that cover the whole image. However, it is very challenging task to segment or partitioning the images exactly. This paper proposes a customized k-means clustering based image segmentation method. This customized form of this technique implies k-means clustering algorithm, de-noising factor associated with velocity field of each pixel and edge distinguishing using Canny edge detector. For the evaluation, we conduct the experiment on the Berkeley segmentation dataset (BSDS300). Probabilistic rand index (PRI) is utilized for the similarity measure of segmented images and their predetermined ground truths. The experimental results reveal that the proposed method is highly capable of partitioning the images and in some cases, the outcomes of this method is better than the state-of-the-art methods.

Segmentation-based object categorization

Canny edge detector

Similarity (geometry)

10.1109/icecit54077.2021.9641094

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Iris Recognition Using Wavelet Features and Various Distance Based Classification

2021 International Conference on Electronics, Communications and Information Technology (ICECIT) (2021)

Arnab Mukherjee Md. Zahidul Islam G.M. Mamun-Al-Imran Lasker Ershad Ali

This paper proposes wavelet features based iris recognition approach adopting K-nearest neighbor (K-NN) classification with various distance measures. Image pre-processing, feature extraction and iris classification are the three key stages in this proposed approach. Very well-known image enhancement, iris segmentation and iris normalization techniques are employed in image pre-processing stage. The wavelet features are extracted from the normalized iris images by applying various types of mother wavelets like as Haar, Log-Gabor, Morlet, Daubechies, Symlet, Coiflet, Bi-orthogonal, Meyer, Fejer-Korovkin and Reverse bi-orthogonal wavelets. In classification stage, the K-nearest neighbor is adopted as the basic classifier with Chebychev, Jaccard, Minkowski, City Block, Euclidean, Spearman, Correlation, Braycurtis, Cosine and Canberra distance metrics. We conduct extensive experiments on the distance database: CASIA-v4 and the results are demonstrated as the tabular form. The classification performance is evaluated by receiver operating characteristic curves. The empirical results prove that these distance measures influence the system performance greatly and Spearman distance is the reliable metric for K-NN classifier in Symlet wavelet features based iris recognition.

Iris Recognition

Normalization

10.1109/icecit54077.2021.9641118

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Bi-level multi-objective image segmentation using texture-based color features

Kazi Shah Nawaz Ripon S. H. Shah Newaz Lasker Ershad Ali Jinwen Ma

This paper presents a bi-level multi-objective evolutionary image segmentation approach based on texture-based color features. There are many approaches for image segmentation. The majority of these approaches utilize either texture or color features of images. However, in most cases, only the texture or the color features are not sufficient for superior segmentation. Our proposed approach addresses this issue and employs a bi-level segmentation approach integrating both types of features. This approach uses color histogram-based texture feature in the first level of segmentation. In the second level, a multi-objective evolutionary algorithm is applied to the generated segmented images to produce the final set of non-dominated segmented results by optimizing three objectives simultaneously. The proposed approach is able to partition test images in a number of segments consistent with human visual perception. In term of quantitative evaluation, our approach also provides better results than existing approaches as shown in experimental results.

Segmentation-based object categorization

Color histogram

Region growing

Feature (linguistics)

10.1109/iccitechn.2017.8281795

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Citations (4)

Investigate Micropolar Fluid Behavior on MHD Free Convection and Mass Transfer Flow with Constant Heat and Mass Fluxes by Finite Difference Method

American Journal of Applied Mathematics (2015)

Lasker Ershad Ali

Micropolar fluid behavior on MHD free convection and mass transfer with constant heat and mass fluxes is studied numerically. Finite difference technique is used as the main tool for the numerical approach. Micropolar fluid behavior on MHD steady free convection and mass transfer with constant heat and mass fluxes have been considered and its similarities solution have been obtained. Similarity equations of the corresponding momentum, angular momentum, temperature and concentration equations are derived by employing the usual similarity technique. The dimensionless similarity equations for momentum, angular momentum, temperature and concentration equations solved numerically by explicit finite difference technique. With the help of graphs the effects of the various important parameters entering into each of the problems on the velocity, microrotation, temperature and concentration profiles within the boundary layer are separately discussed.

Momentum (technical analysis)

Dimensionless quantity

Constant (computer programming)

Finite difference

Similarity solution

10.11648/j.ajam.20150303.23

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Citations (6)

Unsteady MHD free convection boundary-layer flow of a nanofluid along a stretching sheet with thermal radiation and viscous dissipation effects

International nano letters. (2012)

Md. Shakhaoath Khan Ifsana Karim Lasker Ershad Ali Ariful Islam

In this work, we study the unsteady free convection boundary-layer flow of a nanofluid along a stretching sheet with thermal radiation in the presence of magnetic field. To obtain non-similar equations, continuity, momentum, energy, and concentration equations have been non-dimensionalized by usual transformation. The non-similar solutions are considered here which depend on the magnetic parameter M, radiation parameter R, Prandtl number Pr, Eckert number Ec, Lewis number Le, Brownian motion parameter Nb, thermophoresis parameter Nt, and Grashof number Gr. The obtained equations have been solved by an explicit finite difference method with stability and convergence analysis. The velocity, temperature, and concentration profiles are discussed for different time steps and for the different values of the parameters of physical and engineering interest.

Eckert number

Grashof number

Lewis number

Thermophoresis

Thermal Radiation

10.1186/2228-5326-2-24

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Citations (98)

Radiation Absorption and Variable Electrical Conductivity Effect on High Speed MHD Free Convective Flow past an Exponential Accelerated Inclined Plate

World Journal of Mechanics (2017)

B. M. Jewel Rana Raju Roy Lasker Ershad Ali Sarder Firoz Ahmmed

The effects of variable electrical conductivity and radiation absorption on high-speed MHD (Magnetohydrodynamics) free convective flow past an exponential accelerated inclined plate with higher order chemical reaction have been investigated. The electrical conductivity has been considered as a function of temperature. The chemical reaction has also been considered as the higher order. The usual transformations have been used to obtain the coupled dimensionless momentum, energy and concentration equations. Then the obtained non-dimensional partial differential equations have been solved numerically by explicit finite difference method. For excellent accuracy, stability and convergence test have been carried out. A computer program Compaq Visual FORTRAN 6.6a has been used to calculate the numerical results. The obtained numerical results concerned with the fluid velocity, temperature, concentration, concerned with skin friction, Nusselt number, Sherwood number, streamlines and isotherms are imprinted graphically by Tecplot and discussed in details. It is noticed that increasing of magnetic parameter increases the temperature and decreases the velocity, skin friction and Nusselt number. It is also observed that the temperature profile is increasing with the increasing values of Dufour number. However, the order of the chemical reaction increases the concentration profile.

Sherwood number

Dimensionless quantity

10.4236/wjm.2017.78019

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Citations (7)

A COMPARATIVE STUDY OF FORECASTING AGRICULTURAL TIME SERIES: SOME SELECTED FOOD GRAIN IN BANGLADESH

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES (2016)

Md. Salauddin Khan Masudul Islam Md. Rasel Kabir Lasker Ershad Ali

10.26782/jmcms.2016.01.00002

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Citations (1)

Home Occupancy Classification Using Machine Learning Techniques along with Feature Selection

International Journal of Engineering and Manufacturing (2022)

Abdullah-Al Nahid Niloy Sikder Mahmudul Hasan Abid Rafia Nishat Toma Iffat Ara Talin

Monitoring systems for electrical appliances have gained massive popularity nowadays.These frameworks can provide consumers with helpful information for energy consumption.Non-intrusive load monitoring (NILM) is the most common method for monitoring a household's energy profile.This research presents an optimized approach for identifying load needs and improving the identification of NILM occupancy surveillance.Our study suggested implementing a dimensionality reduction algorithm, popularly known as genetic algorithm (GA) along with XGBoost, for optimized occupancy monitoring.This exclusive model can masterly anticipate the usage of appliances with a significantly reduced number of voltage-current characteristics.The proposed NILM approach pre-processed the collected data and validated the anticipation performance by comparing the outcomes with the raw dataset's performance metrics.While reducing dimensionality from 480 to 238 features, our GA-based NILM approach accomplished the same performance score in terms of accuracy (73%), recall (81%), ROC-AUC Score (0.81), and PR-AUC Score (0.81) like the original dataset.This study demonstrates that introducing GA in NILM techniques can contribute remarkably to reduce computational complexity without compromising performance.

Occupancy

F1 score

Identification

Popularity

10.5815/ijem.2022.03.04

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Citations (5)