
Md. Nazmul HasanUniversity of Ulsan | UOU · Department of Electrical Engineering
Md. Nazmul Hasan
About
11
Publications
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Introduction
Md. Nazmul Hasan currently works at the Department of Electronics and Communication Engineering, Khulna University. Md. Nazmul does research in Electronic Engineering. Their most recent publication is 'FPGA implementation of LBlock lightweight block cipher'.
Publications
Publications (11)
Electrification of rural islands is still a major challenge for many countries due to the inadequate and inchoate distribution of fossil fuels in conventional grid system. Even if these problems are eliminated, the high electricity cost makes rural people ineligible for electricity services. In addition to tackling environmental pollution, microgri...
Uninterrupted and adequate electricity supply to the resident of rural areas is still a big challenge due to the shortage of national electricity production and a weak distribution system in many countries. Along with these issues, the current high Cost of Electricity (COE) is another hindrance of ensuring electricity for rural people. To mitigate...
Among an electricity provider's non-technical losses, electricity theft has the most severe and dangerous effects. Fraudulent electricity consumption decreases the supply quality, increases generation load, causes legitimate consumers to pay excessive electricity bills, and affects the overall economy. The adaptation of smart grids can significantl...
This paper deals with the design and study of parameters of square shaped microstrip patch antenna suitable for 5G communication systems. It is designed on Rogers RT Duroid 5880, which has a dielectric constant of 2.2. In this study, a micro-strip line fed patch antenna array, operating at a resonant frequency of 10.21GHz which is preferred for 5G...
As the technology enters into deep sub-micron region, signal integrity is becoming a very crucial parameter. In order to deal with the challenges associated with signal integrity problem, such as, crosstalk noise and delay, estimation and minimizing techniques should be addressed with great importance. Along with this, the peak noise amplitude and...
As the technology enters into deep sub-micron region, signal integrity is becoming a very crucial parameter. In order to deal with the challenges associated with signal integrity problem, such as, crosstalk noise and delay, estimation and minimizing techniques should be addressed with great importance. Along with this, the peak noise amplitude and...
With the explosive growth in the demand for higher bandwidth, more new technologies are emerging. Frequencies 10 GHz will be fully occupied within few years by communication channel. The millimeter-wave (mm-wave) frequency band that ranges from 30 to 300 GHz is a new frontier for fifth generation (5G) mobile communication. The mm-wave frequencies s...
With the explosive growth in the demand for higher bandwidth, more new technologies are emerging. Frequencies 10 GHz will be fully occupied within few years by communication channel. The millimeter-wave (mm-wave) frequency band that ranges from 30 to 300 GHz is a new frontier for fifth generation (5G) mobile communication. The mm-wave frequencies s...
The ubiquitous computing era is characterized by wide deployment of resource constraint devices. Secure communication between such devices encounters a big challenge due to their resource limitation. The lightweight cryptographic algorithms are developed to address this challenge. In this work, implementation of LBlock, a lightweight encryption alg...
Different features of an image are relevant for different applications. Among the different features as edges which have been analyzed and investigated intensely. Of different edge detection methods, Canny's edge detection method is a pioneer in the edge detection field. However implementing all the steps of the Canny edge detection method in hardw...
Questions
Questions (2)
I want to decompose some sensor data using wavelet. The FFT shows that my data does not contain higher frequency component(It has an influential DC component). Therefore which mother wavelet would be appropriate for decomposition?
I want to use that data in machine learning.