Hasmah Mansor

A Comparative Study of Small Voltage Rectification Circuits for Implanted Devices

Biomedical implants have acquired an invulnerable and significant importance over the recent years due to their low voltage requirements and trifling dimensions. Biomedical implants are being widely employed for the continuous monitoring of intended parameters as well as stimulation of target organs in patients body. Being low power devices, the continuous powering without using battery dependent sources necessitates the alternative sources such as energy harvesting from the surroundings. Harvested output needs to be processed before using it for powering purposes, particularly in harsh and challenging premises. Even after processing, it needs to be made robust against the contiguous hazards so that maximum power is transferred to the load. A rectifier is employed to make this harvested energy usable. This paper compares the rectifier circuits, comparing their simulation output in terms of regulation, stability and power transferred. The rectification of small voltages is usually confronted by the threshold voltage drops that affect the output causing an effective drop in the power transfer efficiency and other parameters related. The solution to this problem has been suggested comparing the previous approaches with some modifications. Obtained results have been plotted in terms of ripple factor comparing them with the analytical calculations in order to show the role of capacitance in the reduction of ripple factor.

Portable heart rate measurement for remote health monitoring system

This paper presents a design of portable heart rate monitoring system which is part of a project called Home-smart Clinic. Home-smart Clinic is developed in order to connect medical personnel and patients remotely. Remote health monitoring system is beneficial to the patients and society where the implementation of such system will save hospital bill, waiting time and reduce traffics in the hospital. The prime objective of this paper is to design and develop heart rate measurement device for which real time data could be observed by the doctor via internet. History data could also be acquired; therefore the doctor can interpret the trend of the data to identify the conditions of the patients. In the proposed health monitoring system, heart rate and body temperature wireless sensors were developed, however this paper only focus on heart rate monitoring system. The main components involved in this project are pulse sensor, microcontroller (Arduino with Ethernet shield), and wireless communication device (Xbee). The portable heart rate measurement device was tested to a group of voluntary students. Results showed that the real-time heart rate reading successfully monitored locally (at home) and remotely (at doctors computer).

PID tuned artificial immune system hover control for lab-scaled helicopter system

Helicopter has significant attributes as compared to its aircraft counterparts due to its capability to hover around smaller space. This advantage is very useful during air-sea mission, surveillance and disaster monitoring. However, it comes with a price where the system exhibits not only increased in sensitivity to control inputs and disturbances but also a much higher dynamics. A pitch angle control and vibration stability of such system is of prime importance. Therefore this paper presents a PID tuned AIS optimization hover control for a lab-scaled helicopter. The meta-heuristic ability of the artificial immune system (AIS) is used in search for optimized value of PID gain parameters as opposed to using heuristic method for conventional PID controller. It is shown in the result that the optimized control strategy has achieved a good performance and tracking response within less than 40 iterations. With a good control system response, it is anticipated the system vibration due to pitch movement will also be reduced.

Self-Tuning Dead Beat PD Controller for Pitch Angle Control of a Bench-Top Helicopter

This paper presents an improved robust Proportional Derivative controller for a 3-Degree-of-Freedom (3-DOF) bench-top helicopter by using adaptive methodology. Bench-top helicopter is a laboratory scale helicopter used for experimental purposes which is widely used in teaching laboratory and research. Proportional Derivative controller has been developed for a 3-DOF bench-top helicopter by Quanser. Experiments showed that the transient response of designed PD controller has very large steady state error i.e., 50%, which is very serious. The objective of this research is to improve the performance of existing pitch angle control of PD controller on the bench-top helicopter by integration of PD controller with adaptive controller. Usually standard adaptive controller will produce zero steady state error, however response time to reach desired set point is large. Therefore, this paper proposed an adaptive with deadbeat algorithm to overcome the limitations. The output response that is fast, robust and updated online is expected. Performance comparisons have been performed between the proposed self-tuning deadbeat PD controller and standard PD controller. The efficiency of the self-tuning dead beat controller has been proven from the tests results in terms of faster settling time, zero steady state error and capability of the controller to be updated online.

Wireless Power Transmission System Based on Magnetic Inductive Resonance of Couple Circuit

In this paper, By magnetic inductive resonance method or wireless inductive power transfer method, a couple circuits can be used to transfer power wirelessly, where the individual nodes are battery less to make them maintenance free. The main working principal of magnetic inductive resonance is Electromagnetic field inductance between two coils that are tuned to resonate at the same frequency. This type of method has a high quality Factor (Q) and Consist of air cored to avoid iron losses. For energy harvesting wireless or battery less sensors can be use and possible to store in capacitors. One of the methods of wireless power transmission scheme is microwave power transmission, which can interfere with data transmission, where for data transmission and acquisition can easily possible by magnetic inductive resonance.

A development of self-tuning quantitative feedback theory

This paper presents a development of self-tuning Quantitative Feedback Theory (QFT) for a non linear system. QFT is one type of robust controller which deals with plant uncertainty. The performance of robust controller for any uncertain plant is guaranteed based on pre-defined specifications. Meanwhile, self-tuning controller is one type of adaptive controller which also meant to solve the same control problem, however for slower plant drift. By combining both adaptive and robust controllers, both robust and adaptive performance can be achieved. The proposed algorithm is tested on a chosen case study, grain dryer plant. Grain dryer is a non linear plant with uncertainty as the characteristics of the plant can be affected by environmental changes, manufacturing tolerance and input/output disturbance. Based on the results obtained from this case study, the superiority of the proposed self-tuning QFT has been proven. From the comparison test conducted between self-tuning and standard QFT-based controllers, the proposed method produced more desirable response in terms of faster settling time, less percentage of overshoot with reduced ringing, smaller control effort required and wider leverage of uncertainty range.

Fuzzy Control of Grain Drying Process

This paper presents the application of fuzzy logic controller (FLC) to a grain dryer plant. Grain dryer plant is very difficult to control due to long delay process and non-linear behaviour. The controller consists of two inputs; error between actual grain moisture content and set-point, and rate of change of error. There is one fuzzy output that is used to drive the grain flow rate. Simulation tests have been carried out using the process model developed by Liu and Bakker-Arkema [1] for a cross flow grain dryer. The overall results from the tests are good and the fuzzy logic controller is stable and robust towards input disturbance. Although the design process of fuzzy logic controller is simple; however it provides very fast response to make the grain output moisture content close to the set-point and to reject disturbance exists during the grain drying process.

Development of Smart Chicken Poultry Farm

Zarina Mohd Noh*, Abdul Rahman Ramli, Marsyita Hanafi, M Iqbal Saripan, Ridza Azri Ramlee 1,2,3,4 Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 1,5 Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 75450 Durian Tunggal, Melaka, Malaysia

Neural Network Prediction for Efficient Waste Management in Malaysia

Applied Computing Technology (ACT), Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, 86400 Johor, Malaysia. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, 86400 Johor, Malaysia. Department of Management Information Systems, College of Commerce and Business Administrations, Dhofar University, Salalah, Oman.

Design of Smart Waste Bin and Prediction Algorithm for Waste Management in Household Area

Applied Computing Technology (ACT), Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, 86400 Johor, Malaysia. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, 86400 Johor, Malaysia. Department of Management Information Systems, College of Commerce and Business Administrations, Dhofar University, Salalah, Oman.