International Islamic University, Chittagong

About: International Islamic University, Chittagong is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Debye model & Density functional theory. The organization has 1111 authors who have published 1089 publications receiving 7918 citations. The organization is also known as: IIUC.

Status and Constraints of Jute Cultivation in Bangladesh: An Experience from Selected Upazilas under Chandpur District

Abstract: This study aimed at exploring the obstacles of jute cultivation under Chandpur Districts in Bangladesh by the principle component analysis (PCA). The required data were collected through structured interview schedule from 803 jute farmers sampled conveniently. Though jute diversified industry has been seen as potential since the last decade in Bangladesh, raw jute production is not satisfactory due to several obstacles. The study has identified three categories of constraints that hinder sustainable jute production. These are lack of capital and inputs, knowledge and natural resources, and market information. Basically farmers cultivate jute for earning profit but they are not conscious about forward market. Lack of jute diversification knowledge is the unique findings of this study. The findings may help policy makers and stakeholders for taking effective decision in addressing the barriers to jute cultivation in Bangladesh.

Grid-voltage synchronization algorithm for grid tied renewable energy sources during adverse grid fault condition

Abstract: Grid-voltage synchronization algorithm performs the main role during unbalanced and distorted grid fault condition to measure the positive- and negative-sequence values of grid voltage at the point of common coupling for grid-tied renewable energy sources. Power control during severe grid conditions mostly depends on these measured values. Three-phase synchronous reference frame phase-locked loop (SRF-PLL) is the most conversant methods for grid-voltage synchronization. Decoupled Double Synchronous Reference Frame PLL (DDSRF-PLL) is one of the most advanced synchronization algorithm. In this paper, calculation for power control during unbalanced grid condition are given for active and reactive power and performance of DDSRF-PLL is evaluated under adverse grid fault conditions.

A Threshold Voltage Model for Sub-100 nm Pocket Implanted NMOSFET

Abstract: Pocket implantation is a very useful technique to suppress short channel effects in submicrometer MOS devices. This paper presents a threshold voltage model of pocket implanted sub-100 nm NMOSFETs. The proposed model is derived using two linear equations to simulate the pockets along the channel at the surface from the source and drain edges towards the center of the MOSFET. The threshold voltage equation is obtained by solving the 1-D Poisson's equation and then applying Gauss's law at the surface. The model has a simple compact form that can be utilized to study and characterize the pocket implanted advanced ULSI devices.

Power system load switching monitoring using wavelet transform based multiresolution signal decomposition

Abstract: This paper presents a wavelet transform based multiresolution signal decomposition technique for monitoring power system load switching The proposed method depends on the standard deviations of wavelet coefficients calculated at different resolution levels Power system signals are decomposed using discrete wavelet transform based filter bank The simulation results of the study clearly demonstrate that proposed method can efficiently detect and localize power system load switching in time domain The method can also give information on the magnitude of the load switched and its distance from the observation point

Genetic Algorithm with Updated Multipoint Crossover Technique and its Application to TSP

Abstract: Genetic Algorithm (GA) is a promising method for optimizing the NP-hard problem especially the Travelling Salesman Problem (TSP). The reason of its popularity is for the ability to gain an ideal approximation in time. GA is usually based on the three artisans namely selection, reproduction and metamorphosis. The principal target of using GA is to determine the lowest total cost to travel all the nodes optimally. Consequently, this study introduces a novel crossover operator which optimizes the solution to the TSP. The suggested method started with two randomly selected parents and new offsprings have been generated by comparing cost. The overall methods, as well as the experimental outcomes, have also depicted here. The paper concludes that the newly introduced crossover operator outperforms various cross-over operators. It produced better result while experimenting on a set of instances from TSPLIB dataset.