Chittagong University of Engineering & Technology

About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Computer science & Renewable energy. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.

Frequency Analysis of Flash Floods for Establishing New Danger Levels for the Rivers in the Northeast Haor Region of Bangladesh

Abstract: A danger level at a river location is the level above which a flood may cause loss and damage to nearby lives, crops, and homesteads. Currently, in Bangladesh, the danger level is designed ...

Integrating fuzzy logic with Pearson correlation to optimize contaminant detection in water distribution system with uncertainty analyses.

Abstract: An effective detection algorithm, supervising an online water system, is expected to monitor changes in water quality due to any contamination. However, contemporary event detection methods are often criticized for their high false detection rates as well as for their low true detection rates. This study proposes two new event detection methods for contamination that use multi-objective optimization by investigating the correlation between multiple types of conventional water quality sensors. While the first method incorporates non-dominated sorting genetic algorithm II (NSGA-II) with the Pearson correlation Euclidean distance (PE) method in order to maximize the probability of detection (PD) and to minimize the false alarm rate (FAR), the second method introduces fuzzy logic in order to establish a degree of correlations ranking that replaces the correlation relationship indicator threshold. Optimization is performed by using NSGA-II in the second method. The results of this study show that the incorporation of fuzzy logic with NSGA-II in event detection method have produced better results in event detection. The results also show that both methods detect all true events without producing any false alarm rates. Moreover, an uncertainty analysis on input sensor signals is performed to test the robustness of the fuzzy logic-based event detection method by employing the widely used Monte Carlo simulation (MCS) technique. Four different scenarios of uncertainty are analyzed, in particular, and the findings suggest that the proposed method is very effective in minimizing false alarm rates and maximizing true events detection, and hence, it can be regarded as one of the novel approaches to demonstrate its application in the development of an event detection algorithm.

A photonic crystal fiber for liquid sensing application with high sensitivity, birefringence and low confinement loss

Abstract: This research introduces a simple designed cost-effective photonic crystal fiber (PCF) for liquid sensing applications. A wide range of wavelengths (1.3μm-2μm) analyzes has been introduced to examine the effect of some design parameters especially for water as a liquid. In addition to water, the proposed model or structure shows how sensitive the human mucosa and glucose are at lower wavelength range (0.6μm-1.3 μm). By using the complete vector Finite Element Method (FEM), the statistical investigation has been performed and comparative performance analysis has been done between the proposed structure and previous structures. The holes in the core of the proposed structure are designed with diameters of different values and a circular shaped hole has been used to reduce fabrication complicacy. According to the calculated output, the proposed structure provides satisfactory performance in terms of sensitivity, birefringence, as well as confinement losses for water and at the same time, shows optimal sensitivity value for human mucosa is 47.31% and for glucose it is 47.59% at a lower wavelength. So simple and unique design of the proposed model can be used highly in relevant sensing applications especially in bio-sensing and chemical sensing applications.