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.

Research Title: Fuzzy logic control implementation in 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, Fuzzy logic control, Intelligent systems, Real-time systems

Research Title: FPGA-Based Fuzzy Inference System for Real-time Embedded Applications

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

Faculty: Engineering and Technology

Abstract: The traditional way of implementing algorithms in software limits the performance of real-time systems, since the data is processed serially. The new generation of FPGAs with embedded processors are attracting the interest of the real-time applications. With enhanced capabilities most of the processing tasks can be loaded from the software program stack to embedded processors on the FPGA to improve performance and reduce the cost of the whole system. A fuzzy inference system has been implemented on an FPGA, and used to control a PM motor in a washing machine. The given results demonstrate the capability of such embedded controller in washing machine applications where simplicity, reliability and stability are more important issues.

Keywords: FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine

Research Title: FPGA Implementation of Fuzzy Inference System for Embedded Applications

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

Faculty: Engineering and Technology

Abstract: Implementing algorithms in software limits the performance of real-time systems, since the data is processed serially. The new generation of FPGAs with embedded processors are attracting the interest of the real-time applications. With enhanced capabilities most of the processing tasks can be loaded from the software program stack to embedded processors on the FPGA to improve performance and reduce the cost of the whole system. A fuzzy inference system has been implemented on an FPGA, and used to control a PM motor in a washing machine. The given results demonstrate the capability of such embedded controller in washing machine applications where simplicity, reliability and stability are more important issues.

Keywords: FPGA, Fuzzy logic, Fuzzy inference system, PM motor, Washing machine

Research Title: Fast Power Loss Computation and Shunt Capacitor Insertion Using Fuzzy Logic Technique

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

Faculty: Engineering and Technology

Abstract: Fast power loss computation was implemented using supervisory control and data acquisition system (SCADA) with personal computer. Logic Control Array (LCA) and EPROM circuits were used to implement SCADA system to facilitate the required measurements to obtain the daily load profile for residential and commercial customers. LCA, EPROM and PC were used to simplify the electronic circuits, reduce the cost and speed up the computation time. An illustrative example had been considered to measure, store and show the active power, reactive power, load voltage, load current, power factor and the shunt capacitors current. It as observed that when 2.7 MVAR bank capacitor inserted in the network the load current decreased from 740.8A to 688.4A and the power factor was improved from 0.80 to 0.93, which reduced the apparent power, hence allowing to add more loads to the network and release the feeder capacitor. A rule-based fuzzy decision maker had been designed and tested with the real data collected from Jordan electricity board using SCADA system. The calculated output was almost similar to that obtained from the first approach presented in this study. The advantage of using fuzzy decision maker was its simplicity that can be implemented on a programmable logic device.

Keywords: Power factor improvement, power loss computation, fuzzy-based decision maker, capacitor insertion, programmable logic device

Research Title: Fast Energy Loss Computation and Fuzzy-Based Shunt Capacitor Insertion

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

Faculty: Engineering and Technology

Abstract: Fast energy loss computation is implemented using supervisory control and data acquisition system (SCADA) with personal computer. Logic Control Array (LCA) and EPROM circuits are used to implement SCADA system and to measure the Volt- Ampere, KVolt and KVAR and draw the daily load curve for residential and commercial customers. LCA, EPROM and PC are used to simplify the electronic circuits, reduce the cost and speed up the computation time. An illustrative example was done to measure, store and show the active power, reactive power, load voltage, load current, power factor, and the shunt capacitors current. It is found that when 2.7 MVAR bank capacitor is inserted in the network the load current is decreased from 740.8A to 688.4A and the power factor is improved from 80% up to 93%, and led to add more loads on the network and release the feeder capacitor. A rule-based fuzzy decision maker has been designed and tested with the real data collected from Jordan using SCADA system. The calculated output is almost similar to that obtained from the first approach presented in this paper. The advantage of using fuzzy decision maker is its simplicity that can be implemented on a programmable logic device and can be programmed to improve the power factor.

Keywords: Energy loss computation, Power factor improvement, Intelligent systems, Fuzzy logic, Fuzzy decision maker, Rule-based system.

Research Title: Development of A Web-based Distance Learning System Using Fuzzy Decision Making

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

Faculty: Engineering and Technology

Abstract: Advances in computers and communication technology have changed traditional methods for learning and skills training. Today, distance learning is becoming an increasingly popular alternative to traditional programs. This paper presents an attempt to introduce the concepts of fuzzy set theory in the design of web-based distance learning systems. A fuzzy decision making process is used to update the leaner model and specify his/her learning level to provide appropriate teaching materials to each learner. Such a system can deal with uncertainties in the learner’s degree of understanding in each unit. It provides a powerful educational tool that can assist the learner to move from one learning unit to the other according to his/her learning level.

Keywords: Computer aided learning & training, Web-based distance learning, Fuzzy set theory, Decision-making

Research Title: Design of a Programmable Bus for Microprocessor-Based Systems

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

Faculty: Engineering and Technology

Abstract: A programmable bus system has been developed to solve several problems in the design and implementation of microprocessor-based systems. This bus system consists of two parts; a standard I/O bus add-on card, and the bus system motherboard. The proposed bus provides four slots, each slot has independent interrupts, decoding signals, and a programmable oscillator with a wide frequency range. Such a bus system is suitable for many applications with normal requirements.

Keywords: PC buses, bus systems, microprocessor interfacing, Shared memory, microprocessor-based systems

Research Title: Applying Fuzzy Logic for Learner Modling and Decision Support in Online Learning Systems

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

Faculty: Engineering and Technology

Abstract: Advances in computers and multimedia technology have changed traditional methods for learning and skills training. Online learning continues to play a major success of any academic program. Such learning can personalize learning needs for students, it can provide an environment where virtual reality techniques are used to create interactive interfaces and real-time software can monitor every response made by the user. This paper presents an attempt to introduce the concepts of fuzzy set theory the design of a an online educational module. Such a module can deal with uncertainties in the knowledge acquisition, representation and decision making. The fuzzy logic principles are used in creating the learner model and to provide the appropriate teaching material to each learner according to his/her learning level.

Keywords: Online learning, Virtual learning environment, Fuzzy logic, Learner modeling, Decision making,