Research Title: Simulation and FPGA Implementation of A Simple Computer

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: FPGA technology offers the potential of designing high performance systems at low cost. FPGAs have been used for many computational tasks, and this paper presents the microoperation simulation of a basic computer and its implementation on an FPGA. Also, it covers the design of an assembler for the designed computer, which can be used for educational purposes. Such implementation offers good code density, easy customization, easily developed software, small area, and high performance at low cost.

Keywords: Computer systems, Processor design, Simulators, Microprogramming

Research Title: Real-Time Fuzzy Control of Sensorless PM Drive Systems

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: The PM motor drive systems are becoming particularly popular in many industrial applications. They have many of the desirable performance characteristics of both the AC and DC drive systems. In this paper, a fuzzy logic controller is proposed for the real-time control of a Sensorless PM drive system. An implicit detection method has been used to detect the rotor position and to measure both the rotating speed and internal load angle. The results given in this paper demonstrate the capability of such a drive system in applications where simplicity, reliability and stability are more important issues. Furthermore, the proposed hardware and software design is simple and can be implemented by a single-chip microcontroller for real-time applications.

Keywords: Sensorless drive systems, Rotor detection, PM Motor control, Fuzzy controller, Intelligent systems, Real-time systems

Research Title: Novel Technique to Control the Premature Infant Incubator System Using ANN

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: Premature infant incubator system is a vital and critical area because it deals with premature infant or illness baby. It is essential to detect any abnormal conditions occur in the premature infant incubator system as soon as possible. Temperature, humidity, and oxygen concentration are the main parameters must be control in the premature infant incubator system. In this paper novel technique by using Artificial Neural Network ANN is used in order to simulate the premature infant incubator control system by implementing the back propagation method. Sensors are used to indicate temperature, humidity, and oxygen concentration of the incubator internal environment. Sensors output are entering to the ANN, which identify the corresponding case and decide the suitable reaction upon previous training. The proposed ANN premature incubator control system in all conditions that can occur in the premature infant incubator environment proved right decision.

Keywords: Premature infant, Incubator, Computer control, ANN, Neural control

Research Title: Neuro-Fuzzy Controller of a Sensorless PM Motor Drive For Washing Machines

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: The trend towards the adoption of direct drive washing machines utilizing PM motors is increasing due to the mechanical simplicity, high performance and efficiency of the system. This work deals with design and performance of a sensorless PM motor drive for washing machines. An implicit rotor position detection unit which consists of groups of search coils are inserted into the motor stator. A simple neuro-fuzzy controller has been used. The results given in this paper demonstrate the capability of such a drive system in washing machine applications where simplicity, reliability and stability are more important issues.

Keywords: PM motors, Direct drive washing machines, Nero-fuzzy control, Neural networks, Rotor position detection

Research Title: Neural-Network-Based Fuzzy Identifier: Design and Evaluation

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: This paper is concerned with the design and development of a simple fuzzy system for modeling of ill-defined dynamical systems. This system, which is represented as a feed forward neural network, is able to incorporate qualitative and quantitative information. Supervised linear back propagation learning algorithm has been applied to model a system through identifying the fuzzy parameters. This adaptive fuzzy system is implemented as an identifier of dynamical systems. The system performance has been evaluated for different simulated systems to demonstrate the application of the proposed system to identify the dynamics of linear and nonlinear time-invariant and time-variant systems.

Research Title: Modeling and Analysis of an On-line FMS Scheduler Colored Petri Nets

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Research Title: Modeling an Interactive FMS Scheduler Using Colored Petri Nets

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: A new hierarchical model based on CPN for general FMS scheduler is presented. The designed model is partitioned into two levels to face the complexity of the manufacturing systems. The first level in the model is the cell-level, which supervises the jobs scheduling between cells. The second level is the machinelevel, which supervises the scheduling of the manufacturing jobs between machines inside the active cells. The goal of the model is to interpret the output of the manufacturing route planner into graphical representation and to achieve the sequencing, dispatching and monitoring the real time execution of these manufacturing plans. Also the proposed CPN model generates feedback status to monitor the abnormal conditions. Sub CPN priority structures are embedded in the main model to control the election from the competitive jobs to use the limited resources in the system. The hierarchy organization will enhance the real time response of the sequencing and monitoring capabilities. The designed scheduler has been evaluated for different case studies and the achieved results are very encouraging.

Research Title: Mixed Reality Environment for Web-Based Laboratory Interactive Learning

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: This paper presents a web-based laboratory for distance learners by incorporating simulation and hardware implementation into web-based e-learning systems. It presents a development consisting of laboratory course through internet based on mixed reality technique to setup, run and manipulate set of experiments. Each experiment has been designed in a way that allows the learner to manipulate the components and check if it works properly in order to achieve the experiment objective. The proposed laboratory e-learning tool has web-based components accessed by authorized users. Learners can acquire the necessary skills they need, while learning the theory of the experiment and the basic characteristics of each component used in the experiment. Finally, a case study was conducted to show the feasibility and efficiency of the proposed method.

Research Title: Mixed Reality Environment for Web-Based Laboratory Interactive Learning

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract: This paper presents a web-based laboratory for distance learners by incorporating simulation and hardware implementation into web-based e-learning systems. It presents a development consisting of laboratory course through internet based on mixed reality technique to setup, run and manipulateset of experiments. Each experiment has been designed in a way that allows the learner to manipulate the components and check if it works properly in order to achieve the experiment objective. The proposed laboratory e-learning tool has web-based components accessed by authorized users. Learners can acquire the necessary skills they need, while learning the theory of the experiment and the basic characteristics of each component used in the experiment. Finally, a case study was conducted to show the feasibility and efficiency of the proposed method.

Keywords: Web-based learning, Online interactive learning, Mixed reality environment, Laboratory learning, Fuzzy logic, Learner modeling.

Research Title: Fuzzy-Based Decision Making

Author: Kasim Mousa Al-Aubidy, Published Year: 0

Faculty: Engineering and Technology

Abstract:
Several efforts have been made to develop computer-based learning and training systems. However, computer animation alone will not provide users with opportunities to obtain real-sense learning/training and develop their skills. For that reason, there is a need to explore more advanced technologies to improve learning and training. Virtual reality has found a number of applications in learning and skills training.
Real educational processes deal with uncertainty in human knowledge. Most of available educational systems use classical methods to handle vague information in the knowledge representation and decision making. Furthermore, fuzzy set theory incorporates precise techniques for solving such problems. Fuzzy logic concepts have been used in ESs for knowledge representation and reasoning.
Fuzzy logic is the most suitable tool to deal with vague knowledge and the process of decision making in the educational system.