Informatics Publishing Limited

Zeeshan Hassan ¹, Syed Omer Gilani ¹, Mohsin Jamil ¹

Affiliations
1 Department of Robotics and Artificial Intelligence, School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), H-12 Main Campus, Islamabad, PK

Abstract

In this paper, a non-fiducial approach using Wavelet Packet Decomposition (WPD) algorithm for repeated examination of solitary cable ECG used for individual identification is planned and tested. Multiple samples of ECG wave are extracted considering R-peak as a reference and WPD algorithm is applied for feature extraction. This feature file is fed as an input to a machine learning classifier i.e. random forest in order to classify the individuals. In this work, records from publicly available MIT/BIH arrhythmia dataset have been utilized to evaluate the proposed system. Best result relies on third level of wavelet decomposition using Daubechies wavelet to analyze the signal. Furthermore ranker search method is used in conjunction with relief attribute evaluator for feature selection and random forest classifier is applied by generating 100 trees. It is shown that the method is effective for quantifying the classification of arrhythmia ECG signals with accuracy of 92.62%.

Keywords

Biometrics, ECG, MIT-BIH Arrhythmia Database, Random Forest, Wavelet Packet Decomposition.

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Muhammad Zia ur Rehman ¹, Syed Irtiza Ali Shah ¹, Syed Omer Gilani ¹, Mohsin Jamil ¹, Faisal Amin ¹

Affiliations
1 Department of Robotics and Intelligent Machine Engineering, School of Mechanical and Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad - 44000, PK

Abstract

Background/Objectives: To shed light on the history of development of hearing aid, along with the various pros and cons of each developed technological solution. Methods/Statistical Analysis: A historical survey has been conducted, which highlights some of the more renowned and widely deployed hearing aids within the market. The different types of hearing losses and the varying degree of assistance provided by the different technological solutions have been discussed. Over the years, the overall accuracy as well as practicality of the hearing aids have improved, ranging from cumbersome and heavy hearing aids in the early 1960-1970s to the portable and wearable ones available in the market at present. Findings: Technological innovation is spearheading massive improvement within the hearing aids. Some of the key features causing these changes include wireless technology, frequency lowering, directional microphones and digital noise reduction algorithms. Although DSP has provided significant changes in the hearing technology, limitations still exist, which require re-search contributions from different fields like clinical audiology, psychoacoustics and signal processing. Application/Improvements: Most of the portable and reliable hearing aid devices are very expensive. Therefore, there is a need to develop affordable pieces of equipment that is able to cater to basic hearing functionalities.

Keywords

Digital Signal Processing (DSP), Directional Microphones, Digital Noise Reduction, Ear Trumpets, Frequency Lowering, Hearing Aid.

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Zaid Tahir ¹, Mohsin Jamil ¹, Saad Ali Liaqat ¹, Lubva Mubarak ¹, Waleed Tahir ¹, Syed Omer Gilani ¹

Affiliations
1 School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), H-12 Main Campus, Islamabad, PK

Abstract

Background/Objectives: To derive a linear mathematical modeling of a quad-copter Unmanned Aerial Vehicle (UAV). Methods/Statistical Analysis: The quad-copter physical system with different inputs and outputs has been represented in a state-space form. State space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations. "State space" is the space which has state variables as its axes. Vectors are used within state space to show the state of the system. Findings: The six Degrees Of Freedom (6DOF) quad copter state-space model is developed starting from basic Newtonian equations, which is very important to control the quad copter system. The system of quadcopter aerial vehicle is inherently dynamically unstable, which means that this study has found out the state-space modeling. Therefore, this study has enabled the successful modelling of the quadcopter system, which directly contributes to the stable flight of the unmanned aerial vehicle. Application/Improvements: Unmanned aerial reconnaissance, autonomous aerial flight.

Keywords

Quad-copter Unmanned Aerial Vehicle, State Space Modeling, Unmanned Aerial Vehicle.

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M. Arifeen Ali ¹, Mohsin Jamil ¹, Raheel Afzal ¹, Asad Nawaz ¹, Gussan Mufti ¹, M. Zubair ², Syed Omer Gilani ¹

Affiliations
1 School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Sector H-12 Main Campus, Islamabad, PK
2 U. S. Pakistan Centre for Advance Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), Sector H-12 Main Campus, Islamabad, PK

Abstract

In this paper we represent a comparison between PID and Proportional resonant controllers for matrix converter used for unbalance load application. The simulation has been done in Matlab Simulink. A linear model transfer function of matrix converter has been taken to be control by Proportional Resonant controller and PID controllers. Various parameters are taken to find out the close loop system stability. First PID controller and then Proportional resonant controller checked for close loop system’s responses. Optimal controller has been suggested on the basis of best performance for reference sinusoidal tracking.

Keywords

Matrix Converter, PID Controller, Proportional Resonant Controller (PR).

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