Zamani Md Sani

Design and development of MY 2 nd EYE for visually impaired person

This paper discussed on design and development of electronic device by using warning system for visually impaired person usage which is called ‘MY 2nd EYE’. This electronic device is designed to support and help the visually impaired person around this world to have their own confident in order to travel from one place to another place. This project is about developing of warning system by using a vibration motor as a warning device via microcontroller that received input from distance measurement sensor when detecting obstacle. The vibration motor is a best solution to warn the blind person because it uses touch sense of human when the system is run. In this system, there are four pieces of vibration motor are mounted to the gloves at different locations. Each location will have its own function that show different direction such as front, left, right and down. In this project, the effectiveness of the system gives command the direction of obstacle existence is very important and have been confirmed through simulation and experiment.

Performance Analysis for a Gantry Crane System (GCS) Using Priority-Based Fitness Scheme in Binary Particle Swarm Optimization

This paper presents development of an optimal PID and PD controllers for controlling the nonlinear Gantry Crane System (GCS). A new method of Binary Particle Swarm Optimization (BPSO) algorithm that uses Priority-based Fitness Scheme is developed to obtain optimal PID and PD parameters. The optimal parameters are tested on the control structure to examine system responses including trolley displacement and payload oscillation. The dynamic model of GCS is derived using Lagrange equation. Simulation is conducted within Matlab environment to verify the performance of the system in terms of settling time, steady state error and overshoot. The result not only confirmed the successes of using new method for GCS, but also shows the new method performs more efficiently compared to the continuous PSO. This proposed technique demonstrates that implementation of Priority-based Fitness Scheme in BPSO is effective and able to move the trolley as fast as possible to the desired position with low payload oscillation.

A study on students interest and preparedness based on entry survey

The Faculty of Electrical Engineering, UTeM produces students in Bachelor Degree of Electrical Engineering and Mechatronics Engineering. The curriculum of the program was developed based on the Programes Outcomes (PO) set by the faculty committee. Entry survey is a form of survey that was conducted to students that just after their admission into the faculty. The purpose of this survey is to find out the students interest and preparedness to learn electrical and mechatronics engineering educations. All of the items in the survey were developed based on POs set by the faculty. A sample of 131 students participated in this survey and the results were analyzed using mean score analysis. Result from the study shows that students admitted to this faculty were prepared enough to study engineering education, hence faculty POs set would be able to produce a competent engineers.

Real-time daytime road marker recognition using features vectors and neural network

Road markers provide vital information to ensure traffic safety. Different sets of markers are normally used between the highways and the normal road. At the normal road for example, the double lane markers are used to indicate the hazardous area, where overtaking is prohibited while broken marker lane indicate otherwise. To avoid traffic accidents and provide safety, these markers should be accurately detected and classified, which is best solved via vision detection approach. Marker type classification is however affected by the changing sun illumination throughout the day. In this paper, real-time recognition of these markers is developed using the artificial neural network (ANN) to alert the users while driving. The accuracy of the scheme is observed when different input features (geometrical and texture) and image pixels are fed for recognizing broken and double lane markers. A very high accuracy result with low error rate is obtained at 98.83% (10-fold cross validation) accuracy detection using additional features, compared with ~95% by using only the image pixels as the input vector and average processing time is at ~30ms per frame.

Smart Fan Controller Add-On (SMAFAC) for Home Ceiling Fan for Home Power Optimization

The rising electricaltariff for domestic usage is a well-known issue due to the increase ofpopulation and the scarce of the natural resources to generate the powersupplies. One of the common appliances which can be found in medium householdis the AC fan (table and ceiling) which is manually in operation to control thespeed. It contributes up to 10% of domestic household power consumption.Malaysia, a tropical country with temperature constantly drops from midnight tomorning from 32 °C to 27 °C. This paper presents an innovation of a SmartController Fan (SMAFAC) as a universal external controller as add-on toautomatically controlling the existing ceiling fan speed. It is designed basedon a microcontroller based system which using the temperature sensor as aninput and automatically trigger and control the capacitor fan regulator circuitto control the speed of the fan. The circuit is designed to interface with thecapacitor fan regulator, thus could reduce the power consumption approximatelyat 27% from 12am to 7am for 30 days.

Controller Design for Vector Controlled AC Induction Motor Drive Using State-Space Design Methodologies

Recently, Vector Control also known as Field Oriented Control used in AC induction motor drive provides us of a way to control AC induction motor similar to that of a DC motor. This objective is achieved by transforming the time-varying, difficult to control stator currents into a simple time-invariant system by means of coordinate transformations. This in turn provides us with a systematical way towards designing a controller using classical control or modern state-space design methodologies. Purpose of this research is to use the latter in designing a controller towards regulating current responsible for torque response. A non-linear model of the AC Induction Motor is modeled in the rotating (d,q) reference frame for the control purposes. Then, a state feedback linearization controller was design based on the idea of “exact linearization” to transform the non-linear model into linear state-space model, thus enabling controller design using modern state-space approach. A Linear Quadratic optimal controller and Feedback+Feedforward controller is then designed and applied to the linearized induction motor model. For comparison purposes a classical P/PI controller was also designed. Simulation is then carried out using MATLAB/SIMULINK software and results shows good current regulation by controller design using modern state –space methodologies.

Development of rubber tire gantry crane (prototype) obstacles avoidance method using a single sensor on microcontroller based

RTG crane is used to stack containers at the wharf. Because the size of the crane is too large and the operated at high place, it is nearly impossible for the operator to monitor the area under the crane. Currently, a pointing sensor system is installed but the crane still fails to stop if the obstacle is inside of the track due to low coverage of the pointing sensor system. In this paper, a new method is developed on a prototype system of RTG, to improve the current obstacle avoidance. The system is using servo motor to rotate an infrared sensor in order to cover the total area in the track. The results of new method is compared with the pointing sensor system and shown that the develop system has better performance from the pointing sensor system by increasing the sensing area to three point or almost all the track area by rotating the infrared sensor 68° continuously and taking the possibility of obstacles outside the tracking area.