Issa Kamar - Academia.edu (original) (raw)

Papers by Issa Kamar

Research paper thumbnail of Detecting Brain Activity and Brain Disorders using Machine Learning Algorithms Applied on EEG Recordings

EasyChair, Apr 25, 2021

Numerous studies have been implemented throughout the previous years to discover the activity of ... more Numerous studies have been implemented throughout the previous years to discover the activity of the brain through using different types of biomedical signals. In this study an experiment is implemented on EEG recordings in order to study the impact of external stimuli on the human brain. The experiment includes exposing 50 subjects to four various stimuli while recording EEG. At the first stage, a control experiment is done where EEG is recorded in the absence of any stimulation. In the second stage, stimuli are applied and EEG is recorded while watching two consecutive sections from nature and violence videos, and then listening to sections of classical music and then heavy music. The absolute and relative power spectral density of the different brain waves delta, theta, alpha and beta is measured. The signals from the two stages, with and without application of stimulation, are recorded. The recorded inputs of power spectral densities are computed. Then these recordings are analysed on neural network system with different training parameters (input layers, hidden layers, learning rate, training model and training epochs) using Python libraries to build the accurate model. In turn, later on, this model is used on new data input from new patient brain signals to predict the critical case by its current reaction taking the urgent and correct decision on spot. The results showed that the model was able to detect the relationship between the stimuli and the wave type with high accuracy.

Research paper thumbnail of Internet of Things in Learning Systems – A Perspective of Platforms

With the advancement of smart technologies, educational systems across the world are showing path... more With the advancement of smart technologies, educational systems across the world are showing path breaking revolutions, embracing the smart learning methods. Rather than focusing only on the learning contents, analyzing learning behavior and connecting the learners in a peer learning environment stands quite important in this scenario. Internet of Things being the technology to connect things, has taken its scope to a higher dimension, shaping the pathway to subtle interaction between people and things. Making use of Internet of Things in learning systems would open up new pathways to proffer effective learning. Primarily some of these pathways for integrating Internet of Things in learning systems have been discussed. To design an effective pathway for implementing Internet of Things in learning systems, a detailed study of its platforms is needed. In this work, a handful of such platforms have been reviewed based on few parameters. The disparities among these platforms have been s...

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

is the most popular transport layer protocol for the internet. Congestion Control is used to incr... more is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of A disconnect congestion detection from TCP to improve the robustness

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion.This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

International Journal, 2005

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) ...

Research paper thumbnail of A disconnect congestion detection from TCP to improve the robustness

Abstract–The Transmission Control Protocol (TCP) is the most popular transport layer protocol for... more Abstract–The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) ...

Research paper thumbnail of Minimizing weighted mean flow time in open shop scheduling with time-dependent weights and intermediate storage cost

International Journal, 2010

ABSTRACT: Open shop scheduling problem is a common scheduling problem and has wide engineering ap... more ABSTRACT: Open shop scheduling problem is a common scheduling problem and has wide engineering applications in manufacturing. In some industrial cases, open shop scheduling could be a long scheduling problem as an aircraft production. In these cases, time value of money plays a significant role in determining a schedule cost. This paper addresses the problem of minimizing sum of weighted mean flow time and intermediate storage cost in an open shop scheduling environment. The main contribution of this work is to concern time- ...

Research paper thumbnail of Detecting Brain Activity and Brain Disorders using Machine Learning Algorithms Applied on EEG Recordings

EasyChair, Apr 25, 2021

Numerous studies have been implemented throughout the previous years to discover the activity of ... more Numerous studies have been implemented throughout the previous years to discover the activity of the brain through using different types of biomedical signals. In this study an experiment is implemented on EEG recordings in order to study the impact of external stimuli on the human brain. The experiment includes exposing 50 subjects to four various stimuli while recording EEG. At the first stage, a control experiment is done where EEG is recorded in the absence of any stimulation. In the second stage, stimuli are applied and EEG is recorded while watching two consecutive sections from nature and violence videos, and then listening to sections of classical music and then heavy music. The absolute and relative power spectral density of the different brain waves delta, theta, alpha and beta is measured. The signals from the two stages, with and without application of stimulation, are recorded. The recorded inputs of power spectral densities are computed. Then these recordings are analysed on neural network system with different training parameters (input layers, hidden layers, learning rate, training model and training epochs) using Python libraries to build the accurate model. In turn, later on, this model is used on new data input from new patient brain signals to predict the critical case by its current reaction taking the urgent and correct decision on spot. The results showed that the model was able to detect the relationship between the stimuli and the wave type with high accuracy.

Research paper thumbnail of Internet of Things in Learning Systems – A Perspective of Platforms

With the advancement of smart technologies, educational systems across the world are showing path... more With the advancement of smart technologies, educational systems across the world are showing path breaking revolutions, embracing the smart learning methods. Rather than focusing only on the learning contents, analyzing learning behavior and connecting the learners in a peer learning environment stands quite important in this scenario. Internet of Things being the technology to connect things, has taken its scope to a higher dimension, shaping the pathway to subtle interaction between people and things. Making use of Internet of Things in learning systems would open up new pathways to proffer effective learning. Primarily some of these pathways for integrating Internet of Things in learning systems have been discussed. To design an effective pathway for implementing Internet of Things in learning systems, a detailed study of its platforms is needed. In this work, a handful of such platforms have been reviewed based on few parameters. The disparities among these platforms have been s...

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

is the most popular transport layer protocol for the internet. Congestion Control is used to incr... more is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of A disconnect congestion detection from TCP to improve the robustness

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion.This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) mark. The evaluation result shows a good performance in the terms of drop ratio and throughput.

Research paper thumbnail of Robust TCP: An improvement on TCP protocol

International Journal, 2005

The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the inte... more The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) ...

Research paper thumbnail of A disconnect congestion detection from TCP to improve the robustness

Abstract–The Transmission Control Protocol (TCP) is the most popular transport layer protocol for... more Abstract–The Transmission Control Protocol (TCP) is the most popular transport layer protocol for the internet. Congestion Control is used to increase the congestion window size if there is additional bandwidth on the network, and decrease the congestion window size when there is congestion. This paper uses a classic TCP which we called Robust TCP with an accurate algorithm of congestion detection in order to improve the performance of TCP. Our TCP Robust only reacts when it receives an ECN (Explicit Congestion Notification) ...

Research paper thumbnail of Minimizing weighted mean flow time in open shop scheduling with time-dependent weights and intermediate storage cost

International Journal, 2010

ABSTRACT: Open shop scheduling problem is a common scheduling problem and has wide engineering ap... more ABSTRACT: Open shop scheduling problem is a common scheduling problem and has wide engineering applications in manufacturing. In some industrial cases, open shop scheduling could be a long scheduling problem as an aircraft production. In these cases, time value of money plays a significant role in determining a schedule cost. This paper addresses the problem of minimizing sum of weighted mean flow time and intermediate storage cost in an open shop scheduling environment. The main contribution of this work is to concern time- ...