Md Sultan Mahmud

Pennsylvania State University | Penn State · Department of Computer Science and Engineering

This report discusses the process of improving Non-linear Power Factor, by reducing the harmonics distortion of the system. Poor Power Factor increases electricity losses, unnecessary effects in the system, overheating of the transformers, and poor power on the supply side. As civilization is getting more and more modernized day by day, more and mo...

We have constructed an Amplitude modulation and demodulation circuit. Amplitude modulation is used in the real-world for the transmission of message signals over long distances with minimum distortion.

Objective. Although emotion recognition has been studied for decades, a more accurate classification method that requires less computing is still needed. At present, in many studies, EEG features are extracted from all channels to recognize emotional states, however, there is a lack of an efficient feature domain that improves classification perfor...

Emotion analysis by electroencephalogram (EEG) provides vital information about our overall well-being. Analyzing the change in emotional states in response to changes in brain activity has the potential to anticipate the synchronization of attentional, cognitive, and behavioral reactions to emotionally expressive events and hence detect severe men...

Since the variations in brain activity provide a pathway for different emotional states, emotion recognition using electroencephalogram (EEG) has embraced a vast research area in the domain of human-computer interaction. In this study, a novel deep neural architecture based on bidirectional long short-term memory (BiLSTM) is proposed for the purpos...

Arrhythmia classification using an electrocardiogram (ECG) signal has obtained a wide range of attention as arrhythmia is a potentially fatal heart disease that necessitates immediate medical attention. Automated arrhythmia identification and categorization utilizing computational techniques can fasten the proper treatment. In this paper, a novel d...

Since the variations in brain activity provide a pathway for different emotional states, emotion recognition using electroencephalogram (EEG) has embraced a vast research area in the realm of human-computer interaction. This paper proposes a novel deep neural architecture based on bidirectional long short-term memory (BiLSTM) for automated emotion...

In the arena of human-computer interaction (HCI), emotion recognition using the electroencephalogram (EEG) has obtained a wide range of popularity owing to the significant variations in neural activities in response to different types of emotions. In this paper, an efficient CNN-based end-to-end deep neural network scheme with a channel grouping ap...

Arrhythmia is a life-threatening cardiac condition that need immediate treatment. The electrocardiogram (ECG) is a well-established signal that is used to help in the diagnosis of arrhythmias in the heart. The detection of arrhythmias from an ECG signal often involves the consultation of a cardiologist with specialized training. In addition, it is...

Automatic emotion recognition using electroencephalogram (EEG) has obtained a wide range of attention in the domain of human-computer interaction (HCI) owing to the notable differences in brain activities in the event of different types of emotions. In this paper, a novel emotion recognition approach is proposed based on a deep learning scheme util...

This was our group project for the course EEE 456 titled, VLSI 1 circuit design laboratory in the level 4 term 1. In this project, we designed a Configurable Logic Block (CLB) Using CMOS Logic Family in Cadence Virtuoso.

This was our group project for the course EEE 416 titled, Microprocessor and embedded system laboratory in the level 4 term 1. In this project, we designed a real-time speech to braille converter using google's API and STM32 board.

To explore the functionalities of a 4-bit SAP computer using Verilog HDL.

This was our project in level 3 term 2 for the course EEE 304 titled, Digital Electronics Laboratory. In this project, we proposed a simple hexadecimal password-based lock system.

This was our Project for the Course EEE 318 titled, Control System 1 Laboratory. In this project, we reviewed a proposed design for the ventilator and proposed a better design for this purpose.

This was our group project in level 3 term 1 for the course EEE 312 titled, Digital Signal Processing 1 Laboratory. In this project, we analyzed ppg datasets to determine heartbeat and heart condition of patients.

The aim of this project is to present a working prototype of a smartphone charger whose power source is a standard back wheel bicycle using dc generator.