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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]
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Research Reports -
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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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SURF algorithm-based panoramic image mosaic application
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SURF algorithm-based panoramic image mosaic application
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Traffic congestion detection for smart and control transportation management
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Fuzzy speed controller for DC motor drives
Published 2013“…Clanguage programming will be used as assemble language for programming and develop the algorithm and interface.…”
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Undergraduates Project Papers -
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Human Spontaneous Emotion Detection System
Published 2018“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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Android malware detection using permission based static analysis
Published 2024“…With this development, mobile phones are supporting many programs, and everyone takes advantage of them. …”
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Android malware detection using permission based static analysis
Published 2023“…There have been many studies on permission-based Android malware detection. In this study, a permission-based Android malware system is analyzed. …”
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Design of a low-power microcontroller-based wireless ECG monitoring system
Published 2007“…In the heart of the system an ultra-low-power microcontroller is used to control all other units like the transceiver, external flash memory, PC interface, etc. A novel algorithm has been developed to detect life threatening events before transmission of signals to the nearby computer. …”
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Embedded vision system development using 32-bit Single Board Computer and GNU/Linux
Published 2011“…The stationary vehicle detection process is executed on the embedded vision system to evaluate the accuracy of detection made by the system. …”
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Development of a prototype solar-powered autonomous vehicle prototype with object detection and avoidance system using Raspberry-Pi
Published 2024“…The vehicle uses ultrasonic sensors and a USB webcam to detect and avoid obstacles on its path with the aid of a Raspberry Pie program that effectively executes decision-making changes to manoeuvre the vehicle away from objects on a free path. …”
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