Rangpur, Bangladesh

Begum Rokeya University

Rangpur, Bangladesh

Begum Rokeya University , formerly Rangpur University, is a government financed public university in Bangladesh. It is the second public university in Rangpur Division. Wikipedia.

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Saha S.K.,Begum Rokeya University | Ali S.,University of Rajshahi | Ali S.,Jatiya Kabi Kazi Nazrul Islam University
Proceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016 | Year: 2016

This paper presents a data adaptive pre-filtering method to enhance the motor imagery (MI) classification for brain computer interface (BCI) implementation electroencephalography (EEG). The filtering is implemented using multivariate empirical mode decomposition (MEMD). The MEMD decomposes multivariate EEG signal into a finite set of time varying basis functions called intrinsic mode functions (IMFs). Several IMFs are suppressed to improve the intelligibility of the EEG for better classification. The features from pre-filtered EEG are extracted by using common spatial pattern (CSP) which is a spatial filtering approach. The two class MI classification is performed by support vector machine (SVM). The proposed method is evaluated by BCI competition III of dataset IVa. Its performance is higher compared to that of the recently developed algorithm. © 2016 IEEE.

Hossen M.B.,Begum Rokeya University | Siraj-Ud-Doulah M.,Begum Rokeya University
Current Bioinformatics | Year: 2016

Cluster analysis techniques of gene expression microarray data is of increasing interest in the field of current bioinformatics. One of the reasons for this is the need for molecular-based refinement of broadly defined biological classes, with implications in cancer diagnosis, prognosis and treatment. And many algorithms have been developed for this problem; however microarray data frequently include outliers, and how to treat these outlier’s effects in the subsequent analysis-clustering. In this paper, we present the large-scale analysis of seven different agglomerative hierarchical clustering methods and five proximity measures for the analysis of 33 cancer gene expression datasets. As a case study, we used two experimental datasets: Affymetrix and cDNA, and different percent outliers were artificially added to these datasets. We found that ward method gives the highest corrected Rand index value with respect to the spearman proximity measures when datasets contain with and without outliers. © 2016 Bentham Science Publishers.

Pramanik M.I.,City University of Hong Kong | Lau R.Y.K.,City University of Hong Kong | Demirkan H.,University of Washington | Azad M.A.K.,Begum Rokeya University
Expert Systems with Applications | Year: 2017

In the era of “big data”, recent developments in the area of information and communication technologies (ICT) are facilitating organizations to innovate and grow. These technological developments and wide adaptation of ubiquitous computing enable numerous opportunities for government and companies to reconsider healthcare prospects. Therefore, big data and smart healthcare systems are independently attracting extensive attention from both academia and industry. The combination of both big data and smart systems can expedite the prospects of the healthcare industry. However, a thorough study of big data and smart systems together in the healthcare context is still absent from the existing literature. The key contributions of this article include an organized evaluation of various big data and smart system technologies and a critical analysis of the state-of-the-art advanced healthcare systems. We describe the three-dimensional structure of a paradigm shift. We also extract three broad technical branches (3T) contributing to the promotion of healthcare systems. More specifically, we propose a big data enabled smart healthcare system framework (BSHSF) that offers theoretical representations of an intra and inter organizational business model in the healthcare context. We also mention some examples reported in the literature, and then we contribute to pinpointing the potential opportunities and challenges of applying BSHSF to healthcare business environments. We also make five recommendations for effectively applying `BSHSF to the healthcare industry. To the best of our knowledge, this is the first in-depth study about state-of-the-art big data and smart healthcare systems in parallel. The managerial implication of this article is that organizations can use the findings of our critical analysis to reinforce their strategic arrangement of smart systems and big data in the healthcare context, and hence better leverage them for sustainable organizational invention. © 2017 Elsevier Ltd

Hossain M.S.,Begum Rokeya University | Shamsuzzaman M.,Begum Rokeya University | Habib M.A.,Begum Rokeya University
2016 3rd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2016 | Year: 2017

Data mining is the procedure of breaking down data from unlike perspectives and resuming it into useful information. It is very important in the field of classification of the objects. It has been fruitfully applied in expert systems to get knowledge. We can determine appropriate classification of unknown objects according to decision tree rules by applying inductive methods to the given values of attributes of those objects. In this paper a decision tree learning algorithm ID3 is applied to build a decision tree in achieving our goal to gender identification of unknown objects. Our experiments have used records of 50 individuals among which 26 were male and 24 were female subjects having age groups of 19 to 25 years. The classification related to the training sets is done by proper calculation. The output of the work is the classified decision tree and the decision rules. It has been observed that the proposed decision tree can recognize 45 subjects gender from 50 individuals. It is a faster process in recognition of individuals' gender and having accuracy level 85% to 90%. © 2016 IEEE.

Ashrafi K.S.,Begum Rokeya University | Mamun A.A.,Jahangirnagar University | Shukla P.K.,Ruhr University Bochum
Journal of Plasma Physics | Year: 2014

Polarization force (acting on a dust grain) and its modification by polarity of dust, non-isothermal (viz. non-thermal and trapped) ions, adiabaticity of electrons and ions, etc. have been investigated theoretically. It has been found that the polarization force is significantly modified by these effects, i.e. the magnitude of the polarization force is significantly decreased by the presence of non-thermal ions and by the adiabaticity of electrons and ions. On the other hand, it is significantly increased by the presence of trapped ions. It has been also shown that the magnitude of the polarization force is increased (decreased) by electric potential in the case of positively (negatively) charged dust. The relevance of our investigation to some space and astrophysical plasma situations is discussed. Copyright © 2013 Cambridge University Press.

Rahman M.A.,Begum Rokeya University | Anwar S.,University of Dhaka | Pramanik M.I.,Begum Rokeya University | Rahman M.F.,Begum Rokeya University
International Conference on Advanced Communication Technology, ICACT | Year: 2013

Energy conservation in Wireless Sensor Network (WSN) has always been the most crucial issue, for the sensor nodes are all powered by limited capacity battery sources which are difficult, if not impossible, to replace or recharge due to the inherent nature and types of applications WSN is used for. Therefore, energy efficient design of WSN has drawn considerable attention from many researchers resulting in quite a good number of approaches for saving the precious and limited energy of the sensor nodes. However, designing energy efficient routing protocol for WSN is the area that has received the most of the attention giving rise to many Energy Efficient Routing (EER) protocols. In this paper, a comprehensive list of these EER protocols have been studied having classified them into proper categories. The relative advantages and disadvantages of the protocols are also discussed while the protocols are evaluated based on certain performance metrics at the end of the paper. © 2013 GIRI.

Tasnim I.,Begum Rokeya University | Masud M.M.,Bangladesh University of Engineering and Technology | Mamun A.A.,Jahangirnagar University
Plasma Physics Reports | Year: 2014

The effects of nonextensivity and nonthermality of ions of two distinct temperatures on dustacoustic Gardner solitons (DAGSs) in an unmagnetized dusty plasma system are investigated theoretically. The constituents of the dusty plasma under consideration are negatively charged mobile dust fluid, Boltzmann-distributed electrons, and ions of two distinct temperatures following nonextensive (q) and nonthermal distributions, respectively. The Korteweg-de Vries (KdV), modified KdV, and Gardner equations are derived by using the reductive perturbation technique, and thereby their characteristic features are compared. It is observed that both the nonextensive and nonthermal ions significantly modify the basic properties and polarities of dust-acoustic solitary waves. The present investigation may be of relevance to space and laboratory dusty plasma systems. © 2014, Pleiades Publishing, Ltd.

Abdur Razzak M.,Rajshahi University of Engineering and Technology | Mashiar Rahman M.,Begum Rokeya University
Results in Physics | Year: 2015

In this paper, a new novel energy balance method based on the harmonic balance method is proposed to obtain higher-order approximations of strongly nonlinear problems arising in engineering. Especially, second-order approximation is considered in this paper. Results found in this paper are compared with the exact result and other existing results. The results show that the proposed method gives better result for both small and large amplitudes of oscillation than other existing results. The method is illustrated by examples. It has been shown that the proposed method is very effective, convenient and quite accurate to nonlinear engineering problems. © 2015 The Authors.

Hossain M.S.,Begum Rokeya University | Habib M.A.,Begum Rokeya University
2nd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2015 | Year: 2015

Finger prints are considered as the best tool of identification. Gender identification from fingerprints is an important step in forensic anthropology in order to identify the gender of a criminal and minimize the list of suspect search. Fingerprint identification and classification has been extensively researched in the literature however very few researchers have studied the fingerprint gender classification problem. In the present work, we proposed an easy and efficient technique to classify gender of a person using systematic fingerprint ridge counting to a valley area. The study was carried out on the age group of 18 to 40 years where the students, workers, housewives etc are taken as the subjects. An optimal threshold for each transform is chosen for better results. It is found that the proposed system produces accurate decision of 85% of male and 74% of female. The overall performance of the system is found to be satisfactory and useful to forensic anthropology. © 2015 IEEE.

Tasnim I.,Begum Rokeya University | Masud M.M.,Bangladesh University of Engineering and Technology | Mamun A.A.,Jahangirnagar University
Journal of the Korean Physical Society | Year: 2014

The fundamental properties of cylindrical and spherical dust-acoustic (DA) waves in dusty plasmas with consisting of negatively charged mobile dust, two populations of nonthermal ions with distinct temperatures, and Boltzmann-distributed electrons, are rigorously investigated both theoretically and analytically. The modified Gardner (mG) equation is derived by using the reductive perturbation method. The basic features of nonplanar DA modified Gardner solitons (mGSs) are analyzed by using numerical solutions of the mG equation. The nature and the basic characteristics of the mGSs are found to be significantly modified by the existence of two-temperature nonthermal ions. The implications of our investigations in understanding the nonlinear electrostatic perturbations observed in some astrophysical and space plasmas, where distinct-temperature nonthermal ions can significantly modify the wave dynamics, are briefly discussed in this current analysis. © 2014 The Korean Physical Society.

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