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.

Gender Identification from Bangla Name Using Machine Learning and Deep Learning Algorithms

Abstract: The names of people have a large significance in various types of computing applications. In general, people’s names usually have a potential distinction between genders. Detecting genders from names with higher accuracy could be very challenging for Bangla and English character-based Bangla names. In this article, we showed the machine learning and deep learning-based characterization system which can recognize sexual orientations from the Bangladeshi people’s names. The Bangla character-based name placed with an exceptionally higher exactness of 91% and for the English name, it was 89%. We likewise consolidated diverse machine learning and deep learning classifiers techniques like random forest, SVM, Naive Bayes, impact learning, CNN, LSTM, etc., to break down which calculations give better outcomes. Besides, a Python pre-trained model on gender identification by Bangla’s name has been revealed.

Photovoltaic Performance Analysis of Plasmonic Solar cell based on Ti and Pt Nanoparticles and Different Spacer Layer Thicknesses

Abstract: This paper introduces two spherical metal nanoparticles Titanium and Platinum in the front surface on TiO 2 to increase the photovoltaic performance of a thin-film plasmonic silicon solar cell using the localized surface plasmon of the nanoparticles. The photovoltaic performances of the plasmonic solar cells using the Titanium and Platinum nanoparticles were also investigated and compared with the previously reported Indium nanoparticle. It is found that the optimum thicknesses of the spacer layer are 60nm and 59.5nm for Titanium and Platinum nanoparticles respectively. The best photovoltaic performance was found for the investigated plasmonic solar cell using Titanium nanoparticles which has 12.5% reflectance, 39.61% absorbance, 32.87mA/cm2 short circuit current density, 0.55V open circuit voltage and 14.46% efficiency.

Design and performance evaluation of a low cost wind velocity meter

Abstract: This paper depicts design and performance assessment of a wind velocity meter. Actually this is a mechatronics project. Since, both electrical and mechanical conceptions are used to execute this project. The mechanical system consists of two physical subsections — wind vane and anemometer. Here wind van is used to detect wind direction and anemometer for wind speed measurement. Its hardware section comprises of the PIC microcontroller, IR sensor, photo detector etc to convert wind speed and direction into electrical means. The software component includes the program and code implemented via the PIC microcontroller. The microcontroller is used as a central controller to measure the speed and direction of the wind by taking the pulse from sensors. By using sensors, microcontroller calculates wind speed as well as detects wind direction and displays it on a 16 × 2 characters Liquid Crystal Display (LCD).

Prediction of Speech Perception with Recovered Envelope Cues from TFS stimulus For Normal Hearing Listener

Abstract: Speech perception refers to the understandability and ability of speech by a listener produced by a speaker. In order to interpret the speech information in the signal, human auditory system uses both envelope (ENV) and temporal fine structure (TFS) cues. While ENV is sufficient for understanding speech in quiet, TFS cues are necessary for speech segregation in noisy conditions. Speech cues can be classified into two categories; envelope (ENV) and temporal fine structure (TFS). In general, slow varying ENV (known as recovered ENV) can be recovered from the rapidly changing TFS; however, the degree of ENV recovery and its significance on speech perception are not clearly understood. In order to quantify the relative contribution of the recovered ENV for speech perception, this study proposes a new speech perception metric. The proposed metric employs a phenomenological model of the auditory periphery developed to simulate the responses of the auditory nerve fibers to both original and recovered ENV cues. The performance of the proposed metric was evaluated under different types of noise (both steady-state and fluctuating noise) at different sound presentation level. Finally, to validate the proposed metric, the predicted scores were compared with subjective evaluation scores from behavioral studies. The proposed metric indicates a statistically significant correlation for all cases and accounts for a wider dynamic range compared to the existing metrics.

An efficient approach for designing FIR low-pass filter and its application

Abstract: In this paper, an adjustable window function, based on combination of tangent hyperbolic function and a weighted cosine series, is proposed to design an FIR filter. The proposed window has only one adjustable parameter “r”. By varying this parameter, it is possible to change the spectral characteristics of the filter. The performance of the proposed window is compared with Gaussian and Kaiser windows. The proposed window has slightly larger main-lobe width compare to the commonly used Gaussian and Kaiser windows, while featuring 19.71 dB and 8.29 dB smaller ripple ratios respectively. Moreover the side-lobe roll-off ratio of the proposed window is almost 115.03 dB and 14.95 dB better than the Gaussian and Kaiser windows respectively. Simulation results show that the filter designed by the proposed window yields 34.39 dB smaller ripple ratio than Kaiser window. Further, the low-pass filter, designed by the proposed method results 7.3766 times and 3.65 times better side-lobe roll-off ratios than those of Gaussian and Kaiser windows respectively. This paper also highlights an application of the proposed method in the area of eliminating noise from corrupted Audio signal.