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 Tunability Study of an SRR and SNG Metamaterial Integrated UWB Antenna

Abstract: A new technique to design a metamaterial (MTM) inspired frequency reconfigurable ultra-wideband (UWB) antenna is presented in this paper. The proposed antenna comprises a circular disc UWB antenna having two MTM unit cells. MTMs are placed at a slant of ±30° from the centre of the circular patch and two diodes (D1, D2) are used to switching them to the circular disc. The circular disc conventional UWB antenna can operate from 3–10 GHz. The magnetic resonance of a circular split-ring resonator (SRR) from 1.75–2 GHz and two epsilon negative bands of a single negative (SNG) MTM from 1.54–2 GHz and 3.4–4.2 GHz are employed to achieve the frequency tuning purpose. When the SRR is connected to the circular disc, it offers additional impedance BW in the lower frequency region (1.8–2.9 GHz) along with UWB operation. Another narrow band feature at L1 GPS band beside the UWB operations can also be accessed by switching an SNG MTM to the circular disc. Moreover, the proposed antenna demonstrates the band rejection capability ranges from 3.2–3.8 GHz and 4.1–4.7 GHz. Also, the simulated gain at operating bands 1.51–1.62/1.8–10/3–10/4.8–10 GHz are 1.7–2.75/1.75–2.8/2.95–2.75/2.15–4.06 dBi. So, the proposed MTM motivated frequency reconfigurable antenna could be a potential candidate for GPS, UWB, and cognitive radio (CR) system.

TV White Spectrum for Wireless Broadband Internet Connectivity (WBIC): A theoretical analysis of utilizing TV White Spectrum for Wireless Broadband Internet Connectivity (WBIC) on the basis of availability in the perspective of Bangladesh

Abstract: TV White Spectrum utilization has become a major concern in the field of communication sector throughout the world. This research paper focuses on utilizing the TV White Spectrum for Wireless Broadband Internet Connectivity (WBIC) on the basis of availability. For reference, a practical scenario has been considered. The scenario represents the TV White Spectrum of Bangladesh Television (National Television Channel of Bangladesh) and utilizes the unused bandwidth for Wireless Broadband Internet Connectivity (WBIC). Bangladesh government has allocated 56 MHz of Bandwidth among 200GHz of total bandwidth for communication purposes of Bangladesh for BTV (Bangladesh Television) broadcasting. But, BTV is using only 6 MHz of the available 50MHz frequency. So, the rest of the 50 MHz frequency remains unused. This paper, explains how this unused 50MHz frequency can be used for Wireless Broadband Internet Connectivity (WBIC). This paper also considers a case of using 6 MHz frequency for Sangsad Television (A live broadcasting TV Channel of Parliamentary Sessions). On the basis of availability of these two Television Channel (BTV and Sangsad TV) White TV Spectrum of 56 MHz have been explained and proposed. In this research a proposed model has been designed to use the unused bandwidth and simulation result proves that higher data rate can be achieved by using this white TV spectrum.

A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues.

Abstract: Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on the people living in the society. Researchers are trying their best to mitigate this problem using different approaches based on Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). This survey aims to study different approaches of misinformation detection on COVID-19 in recent literature to help the researchers in this domain. More specifically, we review the different methods used for COVID-19 misinformation detection in their research with an overview of data pre-processing and feature extraction methods to get a better understanding of their work. We also summarize the existing datasets which can be used for further research. Finally, we discuss the limitations of the existing methods and highlight some potential future research directions along this dimension to combat the spreading of misinformation during a pandemic.