Hazry Desa, Associate Prof.Dr.
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This page provides access to research works by Associate Prof.Dr. Hazry Desa a Lecterur at Center of Excellence for Unmanned Aerial Systems (COEUAS), Universiti Malaysia Perlis (UniMAP).
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Skills and Expertise: Machine Learning, Image Processing, Pattern Recognition, Classification, Design Engineering, Computer Vision, Optimization, Feature Extraction, Robotics, Algorithms, Mechanical Engineering, Computational Intelligence, Mechatronics, Clustering, Applied Artificial Intelligence, Mobile Robotics, EEG, Control Systems, Neural Networks, Navigation, Control Systems Engineering, Electroencephalography, Emotion Recognition, Genetic Algorithm, UAV, Tracking Fuzzy Clustering, Extended Kalman Filters, Controller Design, Particle Swarm Optimization, Optimization Algorithms, Flight Dynamics, Mechanical Design, Electric Vehicles, Nonlinear Control, Recognition, Model Predictive Control, Control Techniques, Fuzzy Logic Control, Microelectromechanical Systems (MEMS)
Recent Submissions
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PID based controller design for attitude stabilization of Quad-rotor
(American-Eurasian Network for Scientific Information (AENSI), 2014)This article presents a PID based control approach for stabilizing the attitude of quad-rotor UAV during flying. To solve the stability problem of quad-rotor UAV, some suitable and easy feedback control algorithm can be ... -
Development of Graphical User Interface (GUI) for dead reckoning system of a non-holonomic mobile robot
(American-Eurasian Network for Scientific Information (AENSI), 2014)This article presents the creation of GUI for the dead reckoning nonholonomic mobile robot and verifies the completion of designing a user-friendly GUI for controlling and operating, which will help the user to understand ... -
Development of underwater mobile robot AQUA-X with new maneuvering method
(American-Eurasian Network for Scientific Information (AENSI), 2014)An Unmanned underwater vehicle is a type of robot that can maneuver under the sea surface without any human operator. The first Autonomous Underwater Vehicles was developed by the University of Washington in 1957 (Blidberg, ... -
Model predictive control based reference point tracking of quad-rotor UAV in prevalence of disturbance
(American-Eurasian Network for Scientific Information (AENSI), 2014)This paper presents an accomplishment of reference point tracking with the help of Model predictive control (MPC). The foremost concern is based upon predicting the performance of the system in occurrence of unknown ... -
NMPC-PID based control structure design for avoiding uncertainties in attitude and altitude tracking control of quad-rotor (UAV)
(IEEE Conference Publications, 2014-03)The extensive consideration in this research article is to utilize the advantages of two most popular control techniques which are Non-Linear Model Predictive Control (NMPC) and Proportional Integral and Derivative (PID) ... -
Glove based Virtual Reality (VR) interaction for the purpose of rehabilitation
(American-Eurasian Network for Scientific Information (AENSI), 2014)This paper describes the study for interfacing of dataglove with the virtual reality (VR) system for the purpose of the rehabilitation.Dataglove is a device capable of recording hand movements, both the position of the ... -
Two wheels mobile robot navigation by using a low cost Dataglove (GloveMAP)
(American-Eurasian Network for Scientific Information (AENSI), 2014)A low cost wired glove system is developed by designing a new glove which has the similar function with the conventional dataglove and has been named as GloveMAP. The system involves the finger movements with some of ... -
Analysis study on electric vehicle lithium ion polymer batteries COP in various temperature condition in a confined space – review of recent literature
(American-Eurasian Network for Scientific Information (AENSI), 2014)The lithium ion polymer batteries are quickly emerging as the preferred electrical energy storage technology and generally used in portable electronics products such as notebook computers, tablets, smart phones and so on. ... -
Analysis of GloveMAP feature extraction using the polynomial regression method
(American-Eurasian Network for Scientific Information (AENSI), 2014)Glove based device has outstandingly archive successfully in nowadays especially in industries, virtual reality, and medical. GloveMAP are recent DataGlove prototype aimed at obtaining signal information of finger movements. ... -
Experimental and analysis study on glovemap grasping force signal using Gaussian filtering method and principal component analysis (PCA)
(ICIC International, 2014-06)This research paper presents the analysis study of human grasping forces for several objects by using a DataGlove called GloveMAP. The grasping force is generated from the bending of proximal and intermediate phalanges of ... -
CFD analysis on mismatched end-to-end internal diameter of RSVG Models
(American-Eurasian Network for Scientific Information (AENSI), 2014-03)A digital arterial disease in upper extremity is uncommon happened compare to arterial disease in lower extremity. A surgical vein graft interposition is performed as revascularization procedure. However, mismatching ... -
Tracking and replication of hand movements by teleguided intelligent manipulator robot
(Cambridge University Press, 2014-02)In this paper, a new method is presented that allows an intelligent manipulator robotic system to track a human hand from far distance in 3D space and estimate its orientation and position in real time with the goal of ... -
Mobile robot navigation by using fuzzy information of moving two-wheeled motion features
(IJENS Publishers, 2013)The purpose of indoor and outdoor mobile robot navigation is to move the mobile robot toward target with stable target navigation. In this study, motion information from the movements of the two-wheeled mobile robot is ... -
Extracting features of finger bending signal based on parameter of polynomial
(IJENS Publishers, 2014-02)Glove based device has outstandingly archive successfully in nowadays especially in industries, virtual reality, and medical. DataGlove is an interactive device, resembling a glove worn on the hand used to capture physical ... -
Lifting scheme for human emotion recognition using EEG
(IEEE Conference Publications, 2008-08)In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional ... -
Classification of facial emotions using guided particle swarm optimization I
(IPM (P) Ltd., 2009)This paper presents a novel approach to facial emotion detection using a modified Particle Swarm Optimization algorithm, which we called Guided Particle Swarm Optimization (GPSO). The approach involves tracking the movements ... -
Disturbance and noise rejection controller design for smooth takeoff / landing and altitude stabilization of quad-rotor
(American-Eurasian Network for Scientific Information (AENSI), 2013)This paper presents a control approach for smooth takeoff / landing i.e altitude controlling of quad-rotor. There are number of failure in UAV projects are recorded because of poor stability and control. In Quad-rotor type ... -
Vision based tracking control of an autonomous mobile robot in an indoor environment
(IEEE Conference Publications, 2011)In this paper, we present a scheme for target acquisition scheme for mobile robot that will use vision sensor. The scheme in order to accurately measures the location of a target in real world coordinates and finds the ... -
Using weblog in learning english and encouraging adaptation among international students in Perlis
(Canadian Center of Science and Education, 2012)This study looks at the correlation of the English learning which is by using weblog and the adaptation for international students at Universiti Malaysia Perlis. The study was conducted on the first batch of International ... -
Time-frequency analysis of EEG signals for human emotion detection
(Springer Berlin Heidelberg, 2008)This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The main objective of this work is to compare the efficacy of classifying human emotions using two discrete wavelet transform (DWT) ...
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