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.

The tale of two countries: modeling the effects of COVID-19 on shopping behavior in Bangladesh and India

Abstract: This paper explores the impact of COVID-19 on shopping behavior in two neighboring developing economies: Bangladesh and India. While the previous studies investigating the impact of COVID-19 on sho...

Improved Solar Photovoltaic Array Model with FLC Based Maximum Power Point Tracking

Abstract: This paper presents an improved model of solar photovoltaic (PV) array along with the implementation of fuzzy logic as maximum power point tracking (MPPT). The proposed PV array behavioral model is more accurate and with reduced complexity though considered discrete components. The PV array model was well verified by considering the effect of change of environmental conditions, mainly intensity of solar irradiation (insolation) and temperature. The model was tested by feed a single phase inverter. MPPT control the operating voltage of PV arrays in order to maximize their power output as a result maximize the array efficiency and minimize the overall system cost. Using a Fuzzy logic based algorithm, the duty cycle of the converter inserted between source and load is adjusted continuously to track the MPP and compared with the conventional perturb and observed (P&O) method for changing environmental conditions. It was found that the Fuzzy logic based method can track the MPP more precisely and rapidly than the conventional one. In P&O method, if step size of input variable is very small, the accuracy in tracking MPP is sufficient but tracking speed becomes too slow. On the other hand if the step size is increased to imitate the rapidly changing weather conditions, accuracy deteriorates and unexpected results occur due to oscillation around a mean point although tracking speed increased. But in the case of proposed FLC whatever the step size of input variable it best suited to track MPP continuously and accurately. The obtained simulation results validate the competent of the solar PV array model as well as the fuzzy controller. DOI: http://dx.doi.org/10.11591/ijece.v2i6.1328 Full Text: PDF

Short paper: enhancing Wi-Fi security using a hybrid algorithm of blowfish and RC6

Abstract: Nowadays, Wi-Fi is a very popular Technology. Faster data transfer and Security both are very important for Wi-Fi. At present, Advanced Encryption Standard (AES) is used for Wi-Fi that is more secured than other encryption algorithms but it is not so fast because of it's complex functions. On the other hand, Blowfish is a very faster encryption algorithm but it cannot apply on Wi-Fi because of it's security problems. In this paper, a hybrid algorithm of Blowfish and Rivest Cipher 6 (RC6) is proposed that solves the security problems of Blowfish and also maintains the fastness of Blowfish and makes it able to use it in place of AES. It uses two innovative criteria. One is ingenious confusion process using two random numbers "a" and "w" that removes reflectively weak key attack and Known plaintext attack of Blowfish. The other is usage of one S-Box by overlapping process that eliminates the collision key attack of Blowfish. Sub key generation process of this algorithm also removes the Brute Force attack of AES. This paper tries to give an efficient algorithm that enhances the performance of Blowfish algorithm by adding a function of RC6 with it. The adding process is trickily handed here that makes the proposed algorithm as fast as Blowfish and also secured like existing AES. The proposed algorithm takes less encryption –decryption time like Blowfish and also secured like AES. Throughput, Average time for different data lengths and attack removal process are used to measure the efficiency of this proposed algorithm.