Nazatul Shiema Moh Nazar

Survivor Tracking System Based on Heart Beats

Survivor tracking system is a device that detects a human heartbeat by using pulse sensor and sends the information to a smartphone via Bluetooth. Apart from muscle sensor and accelerometer sensor that has difficulty in monitoring the condition of users, pulse sensor is one of the alternatives that can provide high portability and require a small surface area for analysis. In this paper, a wireless system was implemented. The design is achieved by utilizing a smartphone with Android Operating System, Peripheral Interface Controller (PIC) Microcontroller and Bluetooth. The objectives of the system are to monitor user heartbeat rate, durability and effectively SMS to obtain medical help for the user.

Feasibility Studies of Vortex Flow Impact On the Proliferation of Algae in Hydrogen Production for Fuel Cell Applications

The instability of crude oil price in global market as well as the sensitivity towards green energy increases, more research works being carried out to find alternative energy replacing the depleting of fossil fuels. Photobiological hydrogen production system using algae is one of the promising alternative energy source. However, the yield of hydrogen utilizing the current photobioreactor (PBR) is still low for commercial application due to restricted light penetration into the deeper regions of the reactor. Therefore, this paper studies the feasibility of vortex flow impact utilizing magnetic stirring in hydrogen production for fuel cell applications. For comparison of results, a magnetic stirrer is placed under a PBR of algae to stir the algae to obtain an even distribution of sunlight to the algae while the controlled PBR of algae kept in static. The produced hydrogen level was measured using hydrogen sensor circuit and the data collected were communicated to laptop using Arduino Uno. The results showed more cell counts and hydrogen produced in the PBR under the influence of magnetic stirring compared to static PBR by an average of 8 percent in 4 days.

Modelling voltage sag mitigation using dynamic voltage restorer and analyzing power quality issue

Power quality problem which are arise due to a fault or a pulsed load can have caused an interruption of critical load. The modern power systems are becoming more sensitive to the quality of the power supplied by the utility company. Voltage sags and swells, flicker, interruptions, harmonic distortion and other distortion to the sinusoidal waveform are the examples of the power quality problems. The most affected due to these problems is industrial customers who use a lot of sensitive equipment. There has suffered a huge loss to these problems. Resulting of broken or damage equipment if voltage sag exceeds the sensitive threshold of the equipment. Thus, device such as Static Synchronous Compensator (STATCOM) and Dynamic Voltage Restorer (DVR) has been created to solve this problem among users. DVR is a custom power device that most effective and efficient. This paper intended to report the DVR operations during voltage sag compensation.Power quality problem which are arise due to a fault or a pulsed load can have caused an interruption of critical load. The modern power systems are becoming more sensitive to the quality of the power supplied by the utility company. Voltage sags and swells, flicker, interruptions, harmonic distortion and other distortion to the sinusoidal waveform are the examples of the power quality problems. The most affected due to these problems is industrial customers who use a lot of sensitive equipment. There has suffered a huge loss to these problems. Resulting of broken or damage equipment if voltage sag exceeds the sensitive threshold of the equipment. Thus, device such as Static Synchronous Compensator (STATCOM) and Dynamic Voltage Restorer (DVR) has been created to solve this problem among users. DVR is a custom power device that most effective and efficient. This paper intended to report the DVR operations during voltage sag compensation.

Power plant fault detection using artificial neural network

The fault that commonly occurs in power plants is due to various factors that affect the system outage. There are many types of faults in power plants such as single line to ground fault, double line to ground fault, and line to line fault. The primary aim of this paper is to diagnose the fault in 14 buses power plants by using an Artificial Neural Network (ANN). The Multilayered Perceptron Network (MLP) that detection trained utilized the offline training methods such as Gradient Descent Backpropagation (GDBP), Levenberg-Marquardt (LM), and Bayesian Regularization (BR). The best method is used to build the Graphical User Interface (GUI). The modelling of 14 buses power plant, network training, and GUI used the MATLAB software.

Piezoelectric Voltage Monitoring System Using Smartphone

This paper proposed to develop the voltage monitoring for piezoelectric system. The piezoelectric wireless monitoring system will enable voltage monitoring by utilizing a smartphone, piezoelectric sensor and Bluetooth to a device that installed with designated application. The Bluetooth system is the method used to connect the piezoelectric sensor and the smartphone. Thus, this research is aimed to monitor the voltage produced by the piezoelectric system wirelessly. The produced data can be monitored in real time as well as being extracted in excel data format for recording purpose. In the previous research, the piezoelectric were embedded in army boots for energy scavenging purpose to charge hand phone. Monitoring the voltage output utilizing multimeter not feasible at all, hence this research solves the challenges of monitoring the piezoelectric voltage output.

Temperature Recorder System

A temperature recorder system is based on the changes of the patients’ temperature over a fixed time that uses the advantages of a smartphone. This paper proposes a wirelessly controlled system to achieve reliability and mobility of the user. The wireless system was achieved by utilizing a smartphone, PIC Controller and Bluetooth to a device that’s been installed with the temperature sensors. This system can be used for medical purpose to monitor and record 24/7 of the patient’s temperature consistently which can systematically save manpower, time and lives.

Comparison Between Three Different Level of Cascaded Multilevel Inverter with Separated DC Sources (CISS)

The industrial revolution has been increased promptly at all over the world. With required suitable current, voltage and frequency for industrial purposes, multilevel inverter provides efficient power quality and continuous power supply for large industrial. Multilevel inverter is strongly known as an unconventional voltage medium, which converts DC power to AC power. However, the occurrence of harmonics would degrade the inferiority of the voltage produce by the inverter. This paper consists of three phase Cascaded multilevel Inverter with Separated dc Source (CISS) which eliminates the harmonics by three different levels. The switching technique used in this topology is sinusoidal pulse width modulation (SPWM). MATLAB/Simulink was used to generate the pulses to initiate harmonics. The percentage of harmonics produced will decrease in higher level. Three (3), five (5) and seven (7) level were selected to simulate the circuit topology by using MATLAB software. The results obtain in this paper will be compared and analysed with the previous research studies.

Comparison between three phase three and five level of flying capacitor multilevel inverter

Multilevel inverter is increasingly being used in medium and high power application as conventional inverter have limited power hold and high total harmonics distortion. At present, there is a lot of literature regarding the topology and switching technique for multilevel inverter. The three common types of multilevel inverter are Diode Clamp Multilevel Inverter (DCMI), Cascaded Multilevel Inverter (CMI) and Flying Capacitor Multilevel Inverter (FCMI). This paper proposed the Three Phase Flying Capacitor Multilevel Inverter (FCMI) with Sinusoidal Pulse Width Modulation (SPWM) switching technique. This paper analysed the performance of FCMI and its characteristics based on parameters such as output phase voltage waveform and the total harmonics distortion (THD). The performance was accessed using Matlab/Simulink software. The result obtained shows that with higher number of levels for FCMI, the output THD was lowered due to near sinusoidal output waveform.