ameer morad - Academia.edu (original) (raw)

Papers by ameer morad

Al-Khwarizmi Engineering Journal, 2019

The main purpose of the paper is to identify the controllability of an existing production system... more The main purpose of the paper is to identify the controllability of an existing production system; yogurt production line in Abu Ghraib Dairy Factory which has several machines of food processing and packing that has been studied. Through the starting of analysis, instability in production has been found in the factory. The analysis is built depending on experimental observation and data collection for different processing time of the machines, and statistical analysis has been conducted to model the production system. Arena Software is applied for simulating and analyzing the current state of the production system, and results are expanded to improve the system production and efficiency. Research method is applied to contribute in knowing and expecting the future running of the system to enhance the controllability of the system production and improve the production system and machine efficiency. Moreover, build an experimental model in Arena in order to simulate the system in term of production and process. First step is to collect the statistical data required for analysis in terms of input and output data for analysis. Second, is to track the production problem in term of process bottleneck in order to improve the utilization of the system. Third is to validate the model in order to overcome the product demand of the system uncontrollability. Through the result analysis of waiting time and production rate, it is clearly shown that system is stable with a need to resetting the capacity as a chance for the improvement, regarding to resources utilization. Re-planning resources capacity positively enhances the production and profitability of the system. The validation percent of the experimental results of output products and actual number of products is about 98%.

Pattern Recognition Letters, 1988

This paper describes an efficient algorithm for extracting a simplilied skeletal version of handw... more This paper describes an efficient algorithm for extracting a simplilied skeletal version of handwritten characters. In this version, curvatures are represented by straight lines connecting tree-, edge-and endpoints in the right sequence. These three basic feature points are detected using an efficient algorithm.

Al-Khwarizmi Engineering Journal, Dec 1, 2022

Self-driving automobiles are prominent in science and technology, which affect social and economi... more Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steering angle of a self-driving vehicle that is suitable to be applied to embedded automotive technologies with limited performance. Three well-known pre-trained models were compared in this study: AlexNet, ResNet18, and DenseNet121. Transfer learning was utilized by modifying the final layer of pre-trained models in order to predict the steering angle of the vehicle. Experiments were conducted on the dataset collected from two different tracks. According to the study's findings, ResNet18 and DenseNet121 have the lowest error percentage for steering angle values. Furthermore, the performance of the modified models was evaluated on predetermined tracks. ResNet18 outperformed DenseNet121 in terms of accuracy, with less deviation from the center of the track, while DenseNet121 demonstrated greater adaptability across multiple tracks, resulting in better performance consistency.

Al-Khwarizmi Engineering Journal, 2020

The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The s... more The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The standard epileptic seizures monitoring system involves video/EEG (electro-encephalography), which bothers the patient, as EEG electrodes are attached to the patient’s head. Seriously, helping or alerting the patient before the seizure is one of the issue that attracts the researchers and designers attention. So that there are spectrums of portable seizure detection systems available in markets which are based on non-EEG signal. The aim of this article is to provide a literature survey for the latest articles that cover many issues in the field of designing portable real-time seizure detection that includes the use of multiple body signals, new algorithm methods, and detection devices that are commercially available. As a result, the reviewing process shows that there are many research articles that have covered wearable seizure detection systems that based on body signals. The more effect...

Al-Khwarizmi Engineering Journal

A steganography hides information within other information, such as file, message, picture, or vi... more A steganography hides information within other information, such as file, message, picture, or video. A cryptography is the science of converting the information from a readable form to an unreadable form for unauthorized person. The main problem in the stenographic system is embedding in cover-data without providing information that would facilitate its removal. In this research, a method for embedding data into images is suggested which employs least significant bit Steganography (LSB) and ciphering (RSA algorithm) to protect the data. System security will be enhanced by this collaboration between steganography and cryptography.

Iraqi Journal of Science

Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance th... more Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance these images to assist clinicians and make accurate diagnosis. Firstly, in the proposed method uses two denoising filters (Median and Slantlet) are applied to images in parallel and the best enhanced image gained from both filters is voted by use PSNR and MSE as image quality measurements. Next, extraction of brain tumor from cleaned images is done by segmentation method based on k-mean. The result shows that the proposed method is giving an optimal solution due to denoising method which is based on multiple filter types to obtain best clear images and that is leads to make the extraction of tumor more precision best.

Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detecti... more Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis (CAD) systems play an essential role in detecting features in fundus images. Fundus images may include blood vessel area, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are applied for smoothing the data set. In stage two, the network had gotten deeply to the optic disk segment for eliminating any exudate's false prediction because the exudates had the same color pixel as the optic disk. Stage three, the network is fed through training data to cl...

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2021

Cloud-computing is becoming an increasingly popular model for accessing computing resources. The ... more Cloud-computing is becoming an increasingly popular model for accessing computing resources. The demand for advanced computing capabilities is increasing; however, conventional resource management systems have many drawbacks such as being costly, limited resources, and inefficiency. Therefore, an advanced management is needed. In this paper, we propose an innovative private cloud platform structure designed to secure sensitive company information, which other cloud offerings may not always protect effectively. The aim of this platform is to boost the efficiency in determining an enterprise's ability, custom priorities, and security threats. As a result, the proposed private cloud system provides account login with a username and password for each client. Then after login, each client can access to a proposed private cloud system and using different services privately such as file sharing, word document, slideshows, spreadsheets, local emails, photo sharing and display, online video playing, and also there is a specific storage area for each user after he login to his account. This storage area will enable the user for storing his files and documents on the cloud and using, retrieve or even editing them from any end device connecting to this private cloud inside organization, universities, Enterprise Company etc. without required to an internet connection for any reason with take in consideration the high privacy and security.

Journal of Physics: Conference Series, 2020

Most variable hydraulic loading machines uses traditional counter balance valve to create the opp... more Most variable hydraulic loading machines uses traditional counter balance valve to create the opposing hydraulic force. The valve would be either fixed or manually adjusted. The manual regulatory process can causes time or changing some of the hydraulic component so the system would be combatable with the needs of application. The process would be lacking in control especially when the load is changing continuously. A smart system has been proposed that work with proportional pressure control valve, industrial load cell, and also electronic pressure sensor through Arduino controller, which is programmed with Labview program to control a variable load actuator in four cases of hydraulic pump pressure supplying in a way that keeps the variable load actuator hold still in position no matter how much or how long the applied load changes. The system was simulated by using simulation program (Automation Studio) to make sure the function of it is work. Fluid analysis was calculated to see ...

Scientific Reports, 2021

Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detecti... more Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are applied to smooth the data set. In stage two, the network had gotten deeply to the optic disk segment for eliminating any exudate's false prediction because the exudates had the same color pixel as the optic disk. In stage three, the network is fed through training data to classify each...

1 Department of Mechatronics Engineering, Al Khwarizmi College of Engineering 2 Information Engin... more 1 Department of Mechatronics Engineering, Al Khwarizmi College of Engineering 2 Information Engineering Iraqi National Cancer Research CenterUniversity of Baghdad, Iraq ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The Internet image retrieval is an interesting task that needs efforts from image processing and relationship structure analysis. In this paper, has been proposed compressed method when you need to send more than a photo via the internet based on image retrieval. First, face detection is implemented based on local binary patterns. The background is notice based on matching global selfsimilarities and compared it with the rest of the image backgrounds. The propose algorithm are link the gap between the present image indexing technology, developed in the pixel domain, and the fact that an increasing number of images stored on the computer are previously compressed by JPEG ...

Innovative Systems Design and Engineering, 2015

This paper discusses a robotic system used for physical therapy for foot drop case, caused by bra... more This paper discusses a robotic system used for physical therapy for foot drop case, caused by brain stroke. This device provides most exercises practiced by patient for treatment at any time or any place without going to the rehabilitation center located in hospitals. The robotics system designed according to the mechanism of parallel robot and controlled by computer or microcontroller (Arduino). This robot allows the patient to do the exercise without any need for any knowledge about computer or programing. The developed robot system show a good potential to be developed and distributed for large number of physical therapy clinics with low cost and good reliability. Keywords: 3DOF Robot, Parallel Robot, Foot Drop Physical Therapy, Arduino.

Engineering and Technology Journal, 2019

Accreditation has been adopted in the system of credit hours in all international universities an... more Accreditation has been adopted in the system of credit hours in all international universities and most of the Arab universities because it is characterized by the consolidation of the principle of education and learning by adapting to the ability of the learner to accept the information while maintaining the level of scientific probity. However, few countries, including Iraq, have not adopted this type of education system. This paper presents a brief overview of the system of credit hours and the diagnosis of some of the problems facing education in Iraq at the present time, which rely on the old education systems represented by the annual and quarterly education system, and to develop solutions to those problems by relying on the teaching hour's system.

Bulletin of Electrical Engineering and Informatics, 2020

In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Softwa... more In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of t...

Journal of Communications, 2019

Current requirements in the development of Information and Communication Technologies (ICT) are g... more Current requirements in the development of Information and Communication Technologies (ICT) are guiding new challenges to the future Internet, for which universal availability, large bandwidth utilization, and dynamic management are critical. However, traditional methods, where a manual configuration of branded devices is used, are complex and fallible. Recently, the development of Software-Defined Networking (SDN) as an optimal solution, has used to manage additional effective configuration, enhanced performance, and more flexibility to deal with huge network designs. It decoupling the control plane from the data plane and submitting a standard interface (OpenFlow) between the control plane and the networking devices (data plane). The software used to maintain the implementation of SDN completely. Thus, a programmatic command is controlling the performance of network devices. 

Al-Khwarizmi Engineering Journal, 2019

The main purpose of the paper is to identify the controllability of an existing production system... more The main purpose of the paper is to identify the controllability of an existing production system; yogurt production line in Abu Ghraib Dairy Factory which has several machines of food processing and packing that has been studied. Through the starting of analysis, instability in production has been found in the factory. The analysis is built depending on experimental observation and data collection for different processing time of the machines, and statistical analysis has been conducted to model the production system. Arena Software is applied for simulating and analyzing the current state of the production system, and results are expanded to improve the system production and efficiency. Research method is applied to contribute in knowing and expecting the future running of the system to enhance the controllability of the system production and improve the production system and machine efficiency. Moreover, built an experiment-real model in Arena in order to control the system in te...

EasyChair Preprints, 2018

There is an evidence that channel estimation in communication systems plays a crucial issue in re... more There is an evidence that channel estimation in communication systems plays a crucial issue in recovering the transmitted data. In recent years, there has been an increasing interest to solve problems due to channel estimation and equalization especially when the channel impulse response is fast time varying Rician fading distribution that means channel impulse response change rapidly. Therefore, there must be an optimal channel estimation and equalization to recover transmitted data. However. this paper attempt to compare epsilon normalized least mean square (ϵ-NLMS) and recursive least squares (RLS) algorithms by computing their performance ability to track multiple fast time varying Rician fading channel with different values of Doppler frequency, as well as mean square deviation (MSD) has simulated to measure the difference between original channel and what is estimated. The simulation results of this study showed that (ϵ-NLMS) tend to perform fast time varying Rician fading cha...

Multimedia Systems and Applications IX, 2006

ABSTRACT

Al-Khwarizmi Engineering Journal, 2019

The main purpose of the paper is to identify the controllability of an existing production system... more The main purpose of the paper is to identify the controllability of an existing production system; yogurt production line in Abu Ghraib Dairy Factory which has several machines of food processing and packing that has been studied. Through the starting of analysis, instability in production has been found in the factory. The analysis is built depending on experimental observation and data collection for different processing time of the machines, and statistical analysis has been conducted to model the production system. Arena Software is applied for simulating and analyzing the current state of the production system, and results are expanded to improve the system production and efficiency. Research method is applied to contribute in knowing and expecting the future running of the system to enhance the controllability of the system production and improve the production system and machine efficiency. Moreover, build an experimental model in Arena in order to simulate the system in term of production and process. First step is to collect the statistical data required for analysis in terms of input and output data for analysis. Second, is to track the production problem in term of process bottleneck in order to improve the utilization of the system. Third is to validate the model in order to overcome the product demand of the system uncontrollability. Through the result analysis of waiting time and production rate, it is clearly shown that system is stable with a need to resetting the capacity as a chance for the improvement, regarding to resources utilization. Re-planning resources capacity positively enhances the production and profitability of the system. The validation percent of the experimental results of output products and actual number of products is about 98%.

Pattern Recognition Letters, 1988

This paper describes an efficient algorithm for extracting a simplilied skeletal version of handw... more This paper describes an efficient algorithm for extracting a simplilied skeletal version of handwritten characters. In this version, curvatures are represented by straight lines connecting tree-, edge-and endpoints in the right sequence. These three basic feature points are detected using an efficient algorithm.

Al-Khwarizmi Engineering Journal, Dec 1, 2022

Self-driving automobiles are prominent in science and technology, which affect social and economi... more Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steering angle of a self-driving vehicle that is suitable to be applied to embedded automotive technologies with limited performance. Three well-known pre-trained models were compared in this study: AlexNet, ResNet18, and DenseNet121. Transfer learning was utilized by modifying the final layer of pre-trained models in order to predict the steering angle of the vehicle. Experiments were conducted on the dataset collected from two different tracks. According to the study's findings, ResNet18 and DenseNet121 have the lowest error percentage for steering angle values. Furthermore, the performance of the modified models was evaluated on predetermined tracks. ResNet18 outperformed DenseNet121 in terms of accuracy, with less deviation from the center of the track, while DenseNet121 demonstrated greater adaptability across multiple tracks, resulting in better performance consistency.

Al-Khwarizmi Engineering Journal, 2020

The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The s... more The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The standard epileptic seizures monitoring system involves video/EEG (electro-encephalography), which bothers the patient, as EEG electrodes are attached to the patient’s head. Seriously, helping or alerting the patient before the seizure is one of the issue that attracts the researchers and designers attention. So that there are spectrums of portable seizure detection systems available in markets which are based on non-EEG signal. The aim of this article is to provide a literature survey for the latest articles that cover many issues in the field of designing portable real-time seizure detection that includes the use of multiple body signals, new algorithm methods, and detection devices that are commercially available. As a result, the reviewing process shows that there are many research articles that have covered wearable seizure detection systems that based on body signals. The more effect...

Al-Khwarizmi Engineering Journal

A steganography hides information within other information, such as file, message, picture, or vi... more A steganography hides information within other information, such as file, message, picture, or video. A cryptography is the science of converting the information from a readable form to an unreadable form for unauthorized person. The main problem in the stenographic system is embedding in cover-data without providing information that would facilitate its removal. In this research, a method for embedding data into images is suggested which employs least significant bit Steganography (LSB) and ciphering (RSA algorithm) to protect the data. System security will be enhanced by this collaboration between steganography and cryptography.

Iraqi Journal of Science

Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance th... more Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance these images to assist clinicians and make accurate diagnosis. Firstly, in the proposed method uses two denoising filters (Median and Slantlet) are applied to images in parallel and the best enhanced image gained from both filters is voted by use PSNR and MSE as image quality measurements. Next, extraction of brain tumor from cleaned images is done by segmentation method based on k-mean. The result shows that the proposed method is giving an optimal solution due to denoising method which is based on multiple filter types to obtain best clear images and that is leads to make the extraction of tumor more precision best.

Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detecti... more Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis (CAD) systems play an essential role in detecting features in fundus images. Fundus images may include blood vessel area, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are applied for smoothing the data set. In stage two, the network had gotten deeply to the optic disk segment for eliminating any exudate's false prediction because the exudates had the same color pixel as the optic disk. Stage three, the network is fed through training data to cl...

2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2021

Cloud-computing is becoming an increasingly popular model for accessing computing resources. The ... more Cloud-computing is becoming an increasingly popular model for accessing computing resources. The demand for advanced computing capabilities is increasing; however, conventional resource management systems have many drawbacks such as being costly, limited resources, and inefficiency. Therefore, an advanced management is needed. In this paper, we propose an innovative private cloud platform structure designed to secure sensitive company information, which other cloud offerings may not always protect effectively. The aim of this platform is to boost the efficiency in determining an enterprise's ability, custom priorities, and security threats. As a result, the proposed private cloud system provides account login with a username and password for each client. Then after login, each client can access to a proposed private cloud system and using different services privately such as file sharing, word document, slideshows, spreadsheets, local emails, photo sharing and display, online video playing, and also there is a specific storage area for each user after he login to his account. This storage area will enable the user for storing his files and documents on the cloud and using, retrieve or even editing them from any end device connecting to this private cloud inside organization, universities, Enterprise Company etc. without required to an internet connection for any reason with take in consideration the high privacy and security.

Journal of Physics: Conference Series, 2020

Most variable hydraulic loading machines uses traditional counter balance valve to create the opp... more Most variable hydraulic loading machines uses traditional counter balance valve to create the opposing hydraulic force. The valve would be either fixed or manually adjusted. The manual regulatory process can causes time or changing some of the hydraulic component so the system would be combatable with the needs of application. The process would be lacking in control especially when the load is changing continuously. A smart system has been proposed that work with proportional pressure control valve, industrial load cell, and also electronic pressure sensor through Arduino controller, which is programmed with Labview program to control a variable load actuator in four cases of hydraulic pump pressure supplying in a way that keeps the variable load actuator hold still in position no matter how much or how long the applied load changes. The system was simulated by using simulation program (Automation Studio) to make sure the function of it is work. Fluid analysis was calculated to see ...

Scientific Reports, 2021

Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detecti... more Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are applied to smooth the data set. In stage two, the network had gotten deeply to the optic disk segment for eliminating any exudate's false prediction because the exudates had the same color pixel as the optic disk. In stage three, the network is fed through training data to classify each...

1 Department of Mechatronics Engineering, Al Khwarizmi College of Engineering 2 Information Engin... more 1 Department of Mechatronics Engineering, Al Khwarizmi College of Engineering 2 Information Engineering Iraqi National Cancer Research CenterUniversity of Baghdad, Iraq ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The Internet image retrieval is an interesting task that needs efforts from image processing and relationship structure analysis. In this paper, has been proposed compressed method when you need to send more than a photo via the internet based on image retrieval. First, face detection is implemented based on local binary patterns. The background is notice based on matching global selfsimilarities and compared it with the rest of the image backgrounds. The propose algorithm are link the gap between the present image indexing technology, developed in the pixel domain, and the fact that an increasing number of images stored on the computer are previously compressed by JPEG ...

Innovative Systems Design and Engineering, 2015

This paper discusses a robotic system used for physical therapy for foot drop case, caused by bra... more This paper discusses a robotic system used for physical therapy for foot drop case, caused by brain stroke. This device provides most exercises practiced by patient for treatment at any time or any place without going to the rehabilitation center located in hospitals. The robotics system designed according to the mechanism of parallel robot and controlled by computer or microcontroller (Arduino). This robot allows the patient to do the exercise without any need for any knowledge about computer or programing. The developed robot system show a good potential to be developed and distributed for large number of physical therapy clinics with low cost and good reliability. Keywords: 3DOF Robot, Parallel Robot, Foot Drop Physical Therapy, Arduino.

Engineering and Technology Journal, 2019

Accreditation has been adopted in the system of credit hours in all international universities an... more Accreditation has been adopted in the system of credit hours in all international universities and most of the Arab universities because it is characterized by the consolidation of the principle of education and learning by adapting to the ability of the learner to accept the information while maintaining the level of scientific probity. However, few countries, including Iraq, have not adopted this type of education system. This paper presents a brief overview of the system of credit hours and the diagnosis of some of the problems facing education in Iraq at the present time, which rely on the old education systems represented by the annual and quarterly education system, and to develop solutions to those problems by relying on the teaching hour's system.

Bulletin of Electrical Engineering and Informatics, 2020

In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Softwa... more In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of t...

Journal of Communications, 2019

Current requirements in the development of Information and Communication Technologies (ICT) are g... more Current requirements in the development of Information and Communication Technologies (ICT) are guiding new challenges to the future Internet, for which universal availability, large bandwidth utilization, and dynamic management are critical. However, traditional methods, where a manual configuration of branded devices is used, are complex and fallible. Recently, the development of Software-Defined Networking (SDN) as an optimal solution, has used to manage additional effective configuration, enhanced performance, and more flexibility to deal with huge network designs. It decoupling the control plane from the data plane and submitting a standard interface (OpenFlow) between the control plane and the networking devices (data plane). The software used to maintain the implementation of SDN completely. Thus, a programmatic command is controlling the performance of network devices. 

Al-Khwarizmi Engineering Journal, 2019

The main purpose of the paper is to identify the controllability of an existing production system... more The main purpose of the paper is to identify the controllability of an existing production system; yogurt production line in Abu Ghraib Dairy Factory which has several machines of food processing and packing that has been studied. Through the starting of analysis, instability in production has been found in the factory. The analysis is built depending on experimental observation and data collection for different processing time of the machines, and statistical analysis has been conducted to model the production system. Arena Software is applied for simulating and analyzing the current state of the production system, and results are expanded to improve the system production and efficiency. Research method is applied to contribute in knowing and expecting the future running of the system to enhance the controllability of the system production and improve the production system and machine efficiency. Moreover, built an experiment-real model in Arena in order to control the system in te...

EasyChair Preprints, 2018

There is an evidence that channel estimation in communication systems plays a crucial issue in re... more There is an evidence that channel estimation in communication systems plays a crucial issue in recovering the transmitted data. In recent years, there has been an increasing interest to solve problems due to channel estimation and equalization especially when the channel impulse response is fast time varying Rician fading distribution that means channel impulse response change rapidly. Therefore, there must be an optimal channel estimation and equalization to recover transmitted data. However. this paper attempt to compare epsilon normalized least mean square (ϵ-NLMS) and recursive least squares (RLS) algorithms by computing their performance ability to track multiple fast time varying Rician fading channel with different values of Doppler frequency, as well as mean square deviation (MSD) has simulated to measure the difference between original channel and what is estimated. The simulation results of this study showed that (ϵ-NLMS) tend to perform fast time varying Rician fading cha...

Multimedia Systems and Applications IX, 2006

ABSTRACT