Browsing by Author "Sarker, Dhiman Kumar"

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A Vision Based Three-Layer Access Management System with IoT Integration
(EWU, 3-May-2019) Hossain, Nafize Ishtiaque; Galib, Ali Reza; Mofidul, Raihan Bin; Sarker, Dhiman Kumar
In developing countries, traditional access
Design and Implementation of Smart Attendance Management System Using Multiple Step Authentication
(12-Dec-2016) Sarker, Dhiman Kumar; Hossain, Nafize Ishtiaque; Jamil, Insan Arafat
In the traditional attendance system of Bangladesh, the teachers either call the name or identity number of the students to which the students respond or pass the attendance sheet to the students to sign. With the increase of the number of students in the last two decades, the difficulties in attendance management system has increased remarkably. Again, in case of passing attendance sheet to the students, some students sign multiple times and proxy attendance is taken. These two systems are very time consuming. To overcome these inconveniencies, this paper represents a smart attendance system prototype. In this paper radio frequency identification, biometric fingerprint sensor and password based technologies are integrated to develop a cost effective, reliable attendance management system. A desktop application is developed in C# environment to monitor the attendance system.
International Workshop on Computational Intelligence (IWCI) 2016
(Department of Computer Science and Engineering, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, 12-Dec-2016) Deb, Kaushik; Khaliluzzaman, Md.; Dolon, Lamia Iqbal; Sarker, Dhiman Kumar; Hossain, Nafize Ishtiaque; Jamil, Insan Arafat
Abstract— In the traditional attendance system of Bangladesh, the teachers either call the name or identity number of the students to which the students respond or pass the attendance sheet to the students to sign. With the increase of the number of students in the last two decades, the difficulties in attendance management system has increased remarkably. Again, in case of passing attendance sheet to the students, some students sign multiple times and proxy attendance is taken. These two systems are very
Surface Electromyographic signal based finger prosthesis control using ANN
(Department of Electrical and Electronics Engineering, IUB, 26-Sep-2019) Islam, Jahedul; Sarker, Dhiman Kumar; Das, Piyas
This paper represents the development of surface Electromyographic (sEMG) signal-based finger prosthesis control. A filter & amplifier circuit captures the EMG signal from the surface of the human hand that can be recorded using ATmega-2560 micro-controller. The analysis of the output signal is done to study time domain features. In this paper, standard deviation, mean, a variance is taken as time domain feature. The signal is then trained using simple Artificial Neural Network to classify accurately two finger motion i.e. grip motion and thumb index finger motion.