Prime University or PU is a private university in Mirpur, Dhaka, Bangladesh. The university was established by the Private University Act 1992. PU is affiliated by the University Grants Commission Bangladesh. The University was established in 2002 at Mirpur, Dhaka. PU is the first venture of the Prime Foundation. Wikipedia.
Habib M.T.,North South University |
Habib M.T.,Prime University |
Rokonuzzaman M.,Independent University, Bangladesh
Journal of Multimedia | Year: 2011
Over the years significant research has been performed for machine vision based fabric inspection systems in order to replace manual inspection, which is time consuming and not accurate enough. Automated fabric inspection systems mainly involve two challenging problems: One is defect detection and another is classification, which remains elusive despite considerable research effort in automated fabric inspection. The research reported to date to solve the defect classification problem appears to be insufficient, particularly in selecting appropriate set of features. Scene analysis and feature selection play a very important role in the classification process. Insufficient scene analysis results in an inappropriate set of features. Selection of an inappropriate feature set increases complexities of subsequent steps and makes the classification task harder. Considering this observation, we present a possibly appropriate feature set in order to address the problem of fabric defect classification using neural network (NN). We justify the features from the point of view of distinguishing quality and feature extraction difficulty. We performed some experiments in order to show the utility of proposed features and compare performances with recently reported relevant works. More than 98% classification accuracy has been found, which appears to be very promising. © 2011 ACADEMY PUBLISHER.
Huda K.,Prime University |
Huda K.,Khulna University of Engineering and Technology |
Hossain M.S.,Khulna University |
Hossain M.S.,Khulna University of Engineering and Technology |
Ahmad M.,Khulna University of Engineering and Technology
ICEEE 2015 - 1st International Conference on Electrical and Electronic Engineering | Year: 2015
In this paper, recognition of human activity, involving patterned eye movements, such as reading is introduced. Recognition of human activities is an important part in implementing ubiquitous, context-aware computer applications where computers can communicate with humans in a more interactive manner. Eye movement is a potential instrument in activity recognition as most of human activities involve movement of eyes. This paper describes a method to recognize reading activity from the eye movement patterns. Electrooculography (EOG) signal is used to quantify the eye movements in terms of electrostatic potential. The EOG signal is recorded using electrodes, placed at appropriate positions around the eyes. The extracted EOG signal is then analysed to detect eye movement patterns in connection to reading activity. © 2015 IEEE.
Khan K.,Bangladesh University |
Ali Akbar M.,University of Rajshahi |
Abdus Salam M.,Mawlana Bhashani Science and Technology University |
Hamidul Islam M.,Prime University |
Hamidul Islam M.,Griffith University
Ain Shams Engineering Journal | Year: 2014
In this talk we have applied an enhanced (G′/G)-expansion method to find the traveling wave solutions of the (2 + 1)-dimensional Zoomeron equation. The efficiency of this method for finding the exact solutions has been demonstrated. As a result, a set of exact solutions are derived, which can be expressed by the hyperbolic and trigonometric functions involving several parameters. When these parameters are taken as special values, the solitary wave solutions and the periodic wave solutions have been originated from the exact solutions. It has been shown that this method is effective and can be used for many other nonlinear evolution equations (NLEEs) in mathematical physics. © 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.
Ahmed F.,Islamic University of Technology |
Hossain E.,Prime University |
Bari A.S.M.H.,Samsung |
Shihavuddin A.,University of Girona
12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings | Year: 2011
The local binary pattern (LBP) operator has been proved to be a simple and effective approach for facial feature representation. However, the LBP operator thresholds P neighbors at the value of the center pixel in a local neighborhood and encodes only the signs of the differences between the gray values. Thus, the LBP operator discards some important texture information. This paper presents a new local texture operator, the compound local binary pattern (CLBP), and a feature representation method based on CLBP codes for facial expression recognition. The CLBP operator combines extra P bits with the original LBP code, which are used to express the magnitude information of the differences between the center and the neighbor gray values. We empirically evaluate the effectiveness of the proposed feature representation for person-independent expression analysis. Extensive experiments show the superiority of the CLBP method against some other appearance-based feature representation methods. © 2011 IEEE.
Ahmed F.,Prime University |
Ali M.L.,Bangladesh University of Engineering and Technology |
Asad M.I.H.B.,Bangladesh University of Engineering and Technology
8th International Conference on Electrical and Computer Engineering: Advancing Technology for a Better Tomorrow, ICECE 2014 | Year: 2015
System-on-a-chip (SoC) is now a trend in digital design because it gives a lot of advantages over discrete electronic based product such as higher speed, lower power consumption, smaller size, lower cost etc. Reconfigurable platforms such as FPGA, CPLD, and PLD are now being used for designing and implementing SoC due to their low cost, high capacity and tremendous speed. In this project single chip Orthogonal Frequency Division Multiplexing (OFDM) transmitter and receiver have been designed using Verilog HDL. OFDM is a multi carrier modulation technique used in the various digital communication systems like 3G GSM, WiMAX and LTE etc. The main advantage of this transmission technique is its robustness to channel fading in wireless communication environment. There are many applications of OFDM in communication such as digital audio broadcasting, Asynchronous Digital Subscriber Line (ADSL) and High bit-rate Digital Subscriber Line (HDSL) systems. In OFDM, two algorithms digital signal processing algorithm Fast Fourier transform (FFT) and Inverse Fast Fourier Transform (IFFT) are mainly involved. The 8-point IFFT/FFT Decimation-In-Frequency (DIF) with radix-2 algorithm has been analyzed and incorporated in the design. The design has been simulated on the FPGA platform with Altera's Quartus II simulator. Simulation results show that each of the modules of the proposed OFDM is working as desired. The test output achieved from the simulation result of the OFDM has been verified with that of the MATLAB output. © 2014 IEEE.