RUET

Rājshāhi, Bangladesh
Rājshāhi, Bangladesh
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Munjer M.A.,RUET | Hossain M.F.,RUET | Alim M.A.,RUET
ICECTE 2016 - 2nd International Conference on Electrical, Computer and Telecommunication Engineering | Year: 2017

This paper presents a modular cascaded H-bridge multilevel photovoltaic (PV) inverter for three-phase grid-connected solar cell. An angular controlled modulation scheme has been proposed for Modular Multilevel Converter in this application. To maximize the solar energy extraction in various irradiance, Incremental Conductance algorithm for maximum power point tracking is used, which allows independent control of each solar cell voltage. The performance of the system has also been analyzed at variable irradiance on the each cell. A simulation model of three-phase seventeen-level cascaded H-bridge inverter has been built by using twenty four number of H-bridge modules (eight modules per phase). Each H-bridge module is connected to a 270-W solar panel. Simulation results are presented to verify the feasibility of the proposed approach where on an average 1.5% THD is achieved in load phase voltage. © 2016 IEEE.


Roy T.K.,RUET | Pervej M.F.,RUET | Tumpa F.K.,RUET | Paul L.C.,PUST
ICECTE 2016 - 2nd International Conference on Electrical, Computer and Telecommunication Engineering | Year: 2017

In this paper, a nonlinear adaptive controller is proposed to control the velocity of DC motors driven by DC-DC buck converters. The proposed controller is designed recursively based on the Lyapunov theory by considering the load torque of the DC motor is unknown. This unknown parameter is estimated through the adaptation law and the stability of the whole system is ensured based on the control Lyapunov function (CLF). Another main feature of the proposed control scheme is that it overcomes the over-parameterization problems of unknown parameter which generally emerges in some conformist adaptive methods. At last, the usefulness of the proposed control scheme is verified through the simulation results and performances of the designed controller are compared with an existing proportional-integral (PI) controller. Simulations results demonstrate the superiority of the proposed control scheme over an existing PI controller in term of settling time. © 2016 IEEE.


Lipu A.R.,RUET | Amin R.,RUET | Mondal M.N.I.,RUET | Mamun M.A.,RUET
ICECTE 2016 - 2nd International Conference on Electrical, Computer and Telecommunication Engineering | Year: 2017

Sorting is a classic problem that has been studied for decades. From the beginning of computing, many Sorting algorithms have been investigated. Bubble sort is a very common and powerful sorting technique used in different applications. For high speed data processing, we need faster and efficient environment for any sorting algorithm. In this purpose, FPGA based hardware accelerators can show better performance for high speed data processing than the general purpose processors. In this paper, the sequential and parallel bubble sort algorithm is implemented using FPGA. We show that parallel implementation of Bubble sort algorithm is almost 10 times faster than that of sequential implementation for 20 different data inputs. However, this implementation is faster for more data inputs. © 2016 IEEE.


Tariq A.S.,RUET | Amin R.,RUET | Mondal M.N.I.,RUET | Hossain M.A.,RUET
ICECTE 2016 - 2nd International Conference on Electrical, Computer and Telecommunication Engineering | Year: 2017

Modern world has become more dependent on electronics and hence speed is a major factor in the field of their functionalities. Modern CPUs work lot faster and efficiently than older versions. Still humans require more and more time efficiency in their daily computational works. In this paper, the main focus is on the increase of time efficiency in computing. Hence this paper shows a time performance comparison between FPGA and CPU implementation. In this regard, Booth's multiplication algorithm has been implemented on both CPU and FPGA to compare the running time. The FPGA implementation is found out to be around 9 times faster than that of a modern CPU implementation. © 2016 IEEE.


Rokunuzzaman Md.,RUET | Sekiyama K.,Nagoya University | Fukuda T.,Nagoya University
2012 7th International Conference on Electrical and Computer Engineering, ICECE 2012 | Year: 2012

This paper describes about common region of interest (CROI) generation between two mobile robots with the help of cognitive ontology for solving a cooperative task. In this research, both robots are observing different region of the scene and have different capabilities. In this method, robots use cognitive ontology and evaluate various semantic relations of concepts in a ROI. After evaluation, robots select the best region of interest (ROI) based on semantic relatedness and feature ambiguity value with the help of best feature selection algorithm. To make it useful in cooperation, robots generate CROI by sharing the best ROI. The experimental results showed that the method is very useful for distributed cognition which is very crucial problem in AI. © 2012 IEEE.


Beg R.A.,RUET | Beg R.A.,Rajshahi University of Engineering and Technology | Sarker M.R.I.,RUET | Sarker M.R.I.,Rajshahi University of Engineering and Technology | And 2 more authors.
International Journal of Mechanical and Mechanics Engineering | Year: 2010

Due to scarcity of petroleum products, the used engine oils can be used in engine as engine oil after purifying it. Production of diesel fuel from used engine oil is involving chemical filtrations and blending process. It could solve some of the energy problem with increasing the blending percentage of pre-treated used engine oil (UEO) or by using pre-treated used engine oil as a diesel fuel. In the present study, samples of shipyard and light vehicles (bus and truck) pre-treated used engine oil and different percentage of blending of pre-treated used engine oil (including clay treatment, CT) into fresh diesel have been considered. Results show that pre-treated (including CT) used engine oil of shipyard (UEO) and 35% blending of pre-treated (including CT) used engine oil (UEO) into fresh diesel are suitable to use as a diesel fuel considering Caterpillar Specific Limit and comparing with the fresh diesel.


Roy T.K.,RUET | Morshed M.,MBSTU | Tumpa F.K.,RUET | Pervej M.F.,RUET
2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015 | Year: 2015

This paper presents a nonlinear control scheme to control the attitude of a small-scale rotary wing unmanned aerial vehicle (RUAV) in the presence of external disturbances. The proposed attitude controller is designed in such a way that it is robust to external disturbances. To prove the convergence of the attitude tacking error to zero, i.e., the actual attitude of the closed-loop system to reference attitude of RUAV, a control Lyapunov function (CLF) is formulated in every step of the design procedure which is ensured through the negative definiteness of the derivative of CLF. Finally, the performance of the proposed controller is tested using a high-fidelity simulation model by considering external wind gusts into the system. Simulation results illustrate the robustness of the proposed controller over an existing controller in terms of rejecting external disturbances. © 2015 IEEE.


Roy T.K.,RUET | Morshed M.,MBSTU | Tumpa F.K.,RUET | Pervej M.F.,RUET
2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015 | Year: 2015

A robust adaptive backstepping technique is proposed in this paper to solve the speed-tracking problem of a series DC motor for improving transient response. The parameters of DC motor are considered as unknown and the external disturbances are incorporated into the dynamical model. The proposed controller is designed in such a way that it is adaptive to the unknown parameters of series DC motor and robust to external disturbances. The unknown parameters are estimated through the adaptation laws and the convergences of these adaptation laws are obtained through the negative semi-definiteness of control Lyapunov functions (CLFs). The proposed controller not only provides robustness property against external disturbances but also overcomes the over-parameterization problem which usually appears in some conventional adaptive methods. Finally, the performance of the proposed controller is tested on a MATLAB simulation model. The performance of the proposed scheme is compared with that of an existing backstepping controller where the external disturbances are neglected. Simulation results demonstrate the effectiveness of the proposed controller in terms of rejecting external disturbances. © 2015 IEEE.


Mondal M.A.,RUET | Stefaan De.H.,RUET | Ladha J.K.,RUET
Journal of Mechanical Engineering Research and Developments | Year: 2015

The multivariate two-variance regression model and its analysis method are established. The multivariate regression and confidence limit curves (or surfaces) with high confidence level and high reliability are also given. The multivariate two-variance regression model involves two kinds of independent variable, one of which is associated with the process such as test time, and the other is associated with test state such as temperature, therefore the presented method extends traditional multivariate regression analysis to process data and can analysis stochastic processes under various test conditions simultaneously, such as aero engine thrust curves and performance degradation curves. The concept of polynomial two-variance process and regression analysis method for polynomial two-variance model are also put forward. The presented method exploits the lengthwise information among different test times, therefore it can solve the problem of reliability assessment with small sample and higher precision.


Pervej M.F.,RUET | Sarkar M.Z.I.,RUET | Islam M.T.,RUET
2nd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2015 | Year: 2015

The Bit Error Rate (BER) and Peak to Average Power Ratio (PAPR) are the major concerns for wireless communication. This paper aims to analyze these two important parameters for different inputs and outputs block sizes of the discrete Fourier transform (DFT) based single carrier frequency division multiple access (SCFDMA) system by using the conventional raised cosine (RC) and square root raised cosine (RRC) pulse shaping filters for different sub-carrier mapping schemes (e.g. interleaved frequency division multiple access (IFDMA), localized frequency division multiple access (LFDMA) and distributed frequency division multiple access (DFDMA)). Note that DFT based SCFDMA system is being adopted for uplink communication in the long term evolution (LTE) for its lower PAPR. The suitable block size of SCFDMA is crucial to improve wireless communication performances in terms of BER and PAPR, because if the block sizes vary then the PAPR also changes. Therefore, this paper analyzes the impact of the input and output block sizes of the system on enhancement of the system performances. Taking help from the numerical analysis and evaluation, this paper shows the way to choose the proper input and output block size to have a significantly lower PAPR and BER. © 2015 IEEE.

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