Dr Waleed Khalid AlAzzawi - Academia.edu (original) (raw)

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Papers by Dr Waleed Khalid AlAzzawi

Research paper thumbnail of Thermal Comfort Temperature Evaluation in Hospital Wards for Patient Safety and Climate Change Sustainability

Qeios

The quality of Iraq's direct heat recovery system is affected by the country's constructi... more The quality of Iraq's direct heat recovery system is affected by the country's construction design, particularly in light of the warming climate Reference Minimum 26.6 C Reference Average Air Temperature38.6 C,. There is growing concern that the local building patterns need to be addressed openly because the lack of electricity makes the mechanical cooling of buildings difficult in Iraqi cities. This methodology demonstrates the capability to generate precise forecasts of forthcoming air temperatures by using variables as little as 5 percent. This paper presents a standardized methodology for evaluating thermal comfort in the field. The study analyzes the hybrid ventilation systems utilized by Kadhimiya Teaching Hospital round-the-clock to maintain the constant air quality in the wards. Installing climate control is crucial in these locations to maintain thermal comfort as a potentially powerful but costly response to climate change. Adding fans to military fortifications i...

Research paper thumbnail of The role of data mining in diagnosing the diseases: A case study of detecting the thyroid disease

International Journal Artificial Intelligent and Informatics

One of the most important tools used in the field of medicine is to search for data, especially i... more One of the most important tools used in the field of medicine is to search for data, especially in the field of exploration and knowledge of the prevailing health conditions, research into diseases and patient behavior in society, as well as contribute to knowing the effect of drugs and drugs on patients according to previous patient records. Data mining also helps to identify diseases spread in a specific area, which helps to take the necessary measures and awareness to control this disease, and works to develop and update the field of medicine and medicines and increase their spread. Efficiency and processing capacity. Data mining techniques are a recent method in the medical field, and have become increasingly reliable in diagnosing diseases especially in diagnosing and detecting thyroid diseases. Since such techniques help to properly analyze and accurately predict the disease, they contribute to helping physicians, providing appropriate medical care, and reducing the incidence ...

Research paper thumbnail of Wireless stepper motor control and optimization based on robust control theory

Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters ... more Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters such as internal, external noises and uncertainties from wireless network. As well, a suitable controller is required when the problem is to track the target signal. In this paper, robust controller based on model reference are investigated to wireless control and optimize position and time in stepper motors. The core impression to build a robust controller is to use a model reference control system. Furthermore, simulations are implemented to control stepper motor position and time in two cases: first, when the wireless network without any delay and packet dropout. Second, uncertain equations when the wireless network with time delays and packet dropout. Simulation results demonstrate that proposed controller has achieved and enhanced the performance in tracking and robustness.

Research paper thumbnail of Artificial pancreas techniques based on robust model predictive controller

IAES International Journal of Robotics and Automation (IJRA), 2019

Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and car... more Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.

Research paper thumbnail of Wireless stepper motor control and optimization based on robust control theory

IAES International Journal of Robotics and Automation (IJRA), 2021

Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters ... more Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters such as internal, external noises and uncertainties from wireless network. As well, a suitable controller is required when the problem is to track the target signal. In this paper, robust controller based on model reference are investigated to wireless control and optimize position and time in stepper motors. The core impression to build a robust controller is to use a model reference control system. Furthermore, simulations are implemented to control stepper motor position and time in two cases: first, when the wireless network without any delay and packet dropout. Second, uncertain equations when the wireless network with time delays and packet dropout. Simulation results demonstrate that proposed controller has achieved and enhanced the performance in tracking and robustness.

Research paper thumbnail of Robust stability of solar-power wireless network control system with stochastic time delays based on H2 norm

IET Conference on Wireless Sensor Systems (WSS 2012), 2012

ABSTRACT In this paper, the robust stability analysis of Solar Wireless Networked Control Systems... more ABSTRACT In this paper, the robust stability analysis of Solar Wireless Networked Control Systems (SWNCSs) with stochastic time delays and packet dropout is investigated. The Robust Model Predictive Controller (RMPC) technique for the SWNCS is discussed using the linear matrix inequality (LMI) technique. Based on the SWNCS model, the RMPC (a full state feedback controller) can be constructed by using the Lyapunov functional method. Both sensor-to-controller and controller-to-actuator time delays of the SWNCS are considered as stochastic variables controlled by a Markov chain. A discrete-time Markovian Jump Linear System (MJLS) with norm bounded time delay is presented to model the SWNCSs. Sufficient conditions for stochastic stability based on H_2-norm and stabilization of the fundamental systems are derived via LMIs formulation. Finally, an illustrative numerical example is given to demonstrate the effectiveness of the proposed techniques. (6 pages)

Research paper thumbnail of Artificial pancreas techniques based on robust model predictive controller

IAES International Journal of Robotics and Automation (IJRA), 2019

Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and car... more Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.

Research paper thumbnail of Thermal Comfort Temperature Evaluation in Hospital Wards for Patient Safety and Climate Change Sustainability

Qeios

The quality of Iraq's direct heat recovery system is affected by the country's constructi... more The quality of Iraq's direct heat recovery system is affected by the country's construction design, particularly in light of the warming climate Reference Minimum 26.6 C Reference Average Air Temperature38.6 C,. There is growing concern that the local building patterns need to be addressed openly because the lack of electricity makes the mechanical cooling of buildings difficult in Iraqi cities. This methodology demonstrates the capability to generate precise forecasts of forthcoming air temperatures by using variables as little as 5 percent. This paper presents a standardized methodology for evaluating thermal comfort in the field. The study analyzes the hybrid ventilation systems utilized by Kadhimiya Teaching Hospital round-the-clock to maintain the constant air quality in the wards. Installing climate control is crucial in these locations to maintain thermal comfort as a potentially powerful but costly response to climate change. Adding fans to military fortifications i...

Research paper thumbnail of The role of data mining in diagnosing the diseases: A case study of detecting the thyroid disease

International Journal Artificial Intelligent and Informatics

One of the most important tools used in the field of medicine is to search for data, especially i... more One of the most important tools used in the field of medicine is to search for data, especially in the field of exploration and knowledge of the prevailing health conditions, research into diseases and patient behavior in society, as well as contribute to knowing the effect of drugs and drugs on patients according to previous patient records. Data mining also helps to identify diseases spread in a specific area, which helps to take the necessary measures and awareness to control this disease, and works to develop and update the field of medicine and medicines and increase their spread. Efficiency and processing capacity. Data mining techniques are a recent method in the medical field, and have become increasingly reliable in diagnosing diseases especially in diagnosing and detecting thyroid diseases. Since such techniques help to properly analyze and accurately predict the disease, they contribute to helping physicians, providing appropriate medical care, and reducing the incidence ...

Research paper thumbnail of Wireless stepper motor control and optimization based on robust control theory

Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters ... more Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters such as internal, external noises and uncertainties from wireless network. As well, a suitable controller is required when the problem is to track the target signal. In this paper, robust controller based on model reference are investigated to wireless control and optimize position and time in stepper motors. The core impression to build a robust controller is to use a model reference control system. Furthermore, simulations are implemented to control stepper motor position and time in two cases: first, when the wireless network without any delay and packet dropout. Second, uncertain equations when the wireless network with time delays and packet dropout. Simulation results demonstrate that proposed controller has achieved and enhanced the performance in tracking and robustness.

Research paper thumbnail of Artificial pancreas techniques based on robust model predictive controller

IAES International Journal of Robotics and Automation (IJRA), 2019

Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and car... more Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.

Research paper thumbnail of Wireless stepper motor control and optimization based on robust control theory

IAES International Journal of Robotics and Automation (IJRA), 2021

Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters ... more Stepper motors are broadly utilized in actual systems, which are marked by non-linear parameters such as internal, external noises and uncertainties from wireless network. As well, a suitable controller is required when the problem is to track the target signal. In this paper, robust controller based on model reference are investigated to wireless control and optimize position and time in stepper motors. The core impression to build a robust controller is to use a model reference control system. Furthermore, simulations are implemented to control stepper motor position and time in two cases: first, when the wireless network without any delay and packet dropout. Second, uncertain equations when the wireless network with time delays and packet dropout. Simulation results demonstrate that proposed controller has achieved and enhanced the performance in tracking and robustness.

Research paper thumbnail of Robust stability of solar-power wireless network control system with stochastic time delays based on H2 norm

IET Conference on Wireless Sensor Systems (WSS 2012), 2012

ABSTRACT In this paper, the robust stability analysis of Solar Wireless Networked Control Systems... more ABSTRACT In this paper, the robust stability analysis of Solar Wireless Networked Control Systems (SWNCSs) with stochastic time delays and packet dropout is investigated. The Robust Model Predictive Controller (RMPC) technique for the SWNCS is discussed using the linear matrix inequality (LMI) technique. Based on the SWNCS model, the RMPC (a full state feedback controller) can be constructed by using the Lyapunov functional method. Both sensor-to-controller and controller-to-actuator time delays of the SWNCS are considered as stochastic variables controlled by a Markov chain. A discrete-time Markovian Jump Linear System (MJLS) with norm bounded time delay is presented to model the SWNCSs. Sufficient conditions for stochastic stability based on H_2-norm and stabilization of the fundamental systems are derived via LMIs formulation. Finally, an illustrative numerical example is given to demonstrate the effectiveness of the proposed techniques. (6 pages)

Research paper thumbnail of Artificial pancreas techniques based on robust model predictive controller

IAES International Journal of Robotics and Automation (IJRA), 2019

Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and car... more Diabetes is known as the major cause of death in the world leading to kidney, retinopathy and cardiovascular diseases as well. In this paper, a Robust Model Predictive Controller (RMPC) is introduced to design artificial pancreas that solved the model uncertainty and keep the blood glucose level in the normal range by regulating the size of insulin infusion from pump based on RMPC. The simulation results will present a good performance of the proposed controller to avoid disturbance and robustness against uncertainties.