Performance evaluation of electrical discharge machine on titanium alloy using copper impregnated graphite electrode

Electrical discharge machining (EDM) which is very prominent amongst the non conventional machining methods is expected to be used quite extensively in machining titanium alloys due to the favorable features and advantages that it offers. This thesis presents the EDMing of titanium alloy (Ti-6246) using copper impregnanted graphite electrode with diameter of 8 mm. The main purpose of this study was to investigate the influenced of various parameters involved in EDM on the machining characteristics, namely, material removal rate (MRR), electrode wear ratio (EWR), surface roughness (Ra) and overcut. In this investigation, the machining trials were performed using a Sodick linear motor EDM sinker series AM3L The experimental plan for the processes were conducted according to the design of experimental (DOE) and the results were statistically evaluated using analysis of variance (ANOVA). Results showed that current was the most significant parameter that influenced the machining responses on EDM of Ti-6246. Confirmation tests were also conducted for the selected conditions for each machining characteristics in order to verify and compare the results from the theoretical prediction using Design Expert software and experimental confirmation tests. Overall, the results from the confirmation tests showed that the percentage of performance was acceptable due to all results obtained were within the allowable values which was less than 15% of marginal error

Pattern Classification of Human Epithelial Images

This project shows an important role to diagnosis autoimmune disorder which is by a comparative analysis on the most appropriate clustering technique for the segmentation and also to develop algorithm for positivity classification. In this project, there are four stages will be used to analyze pattern classification in human epithelial (HEp-2) images. First of all, image enhancement will take part in order to boost efficiency of algorithm by implementing some of the adjustment and filtering technique to increase the visibility of image. After that, the second stage will be the image segmentation by using most appropriate clustering technique. There will be a comparative analysis on clustering techniques for segmentation which are adaptive fuzzy c-mean and adaptive fuzzy moving k-mean. Then, for features extraction, by calculating the mean of each of the properties such as area, perimeter, major axis length, and minor axis length for each images. After that, will implementing a grouping based on properties dataset that has been calculated. Last but not least, from the mean of properties, it will classify into the pattern after ranging the value of mean properties of each of the pattern itself that has been done in classification stage

Occupational Health Management System (OHMS)

The Occupational Safety and Health Regulation 1994 focus on a comprehensive approach to safety management, the responsibility for which rests with the employer. The objective is to create a safety workplace free from risk. An Occupational Health Management System (OHMS) is a set of plans, actions and procedures to systematically manage health and safety in the workplace that is endorsed by the committed employer to achieve the following: 1. Provision of a safe and healthy workplace and the prevention! reduction of illness and injury for employees u. Identification of workplace hazards, assessments and control of all risks The purpose of the OHMS is to systematically eliminate the possibility of accident, illness, injury or fatality in the workplace by ensuring that the hazards in the workplace are eliminated or controlled in systematic marmer, rather than waiting a crisis to occur. Employer has legal responsibilities to provide a safe workplace and systems of wok, to consult with employees and to keep them informed about health and safety marmers. In objective the goal of the project, the paper will also discuss about the advantages, issues and intended users of the Occupational Health Management System (OHMS)

ISLAMIC MUTUAL FUNDS PROMOTIONAL ACTIVITIES: NORMAL APPROXIMATION OF BINOMIAL DISTRIBUTION AND TYPE I ERROR

The paper applies normal approximation procedure to binomial probability distribution. A sample of 392 respondents are surveyed whether they agree or not agree that promotional activities determined the level of awareness of benefits of Islamic mutual funds. The paper hypothesizes the population mean µ of success effects of promotional activities at 68%, and attempts to reduce Type I error - the probability of rejecting null hypothesis when it is true

The effects of human brainwave signals due to mobile phone radio frequency exposure using artificial neural network / Roshakimah Mohd Isa

The frequency content of recorded electroencephalogram (EEG) signals plays an important role in describing the signals and also the state of the brain. It is found that the emitted of radiofrequency (RF) radiation energy due to the usage of mobile phones contributes to the changes of brainwave signals. Nevertheless, it is yet to be determined the effects of RF exposure to human’s health that related to the brain based on EEG and intelligent approach. Therefore this thesis proposed a novel approach for recognizing the characteristics of brainwave signals due to mobile phone RF exposure using intelligent techniques. The presented thought recognition methodology utilises correlation and asymmetry features between EEG and RF exposure and integrated with feed-forward Artificial Neural Networks (ANN) for classification. The procedures involved EEG recording at the frontal; left and right head and have been conducted in three sessions namely Before, During and After RF exposure. The duration of each session is five minutes. Ninety five volunteers involved in this study and they are divided into three exposure groups, which categorised as Left Exposure (LE), Right Exposure (RE) and Sham Exposure (SE) group. The RF exposure used in the experiment is sourced from a mobile phone with operating bandwidth between 0.9 to 2.2 GHz with 0.69 W/kg SAR rate. Then, the analysis to observe the brain hemisphere dominance due to the mobile phone RF exposure has been carried out through the Power Asymmetry Ratio (PAR) features

EMPIRICAL MODELLING AND FUZZY CONTROL SIMULATION OF A HEAT EXCHANGER

Aheat exchanger is one of the most important systems that have been installed in many process plants. It is a device that transfers heat from liquid to another without allowing them to mix. In order to ensure its smooth operation, modelling and simulation can be made so that its performance can beanalyzed and improved. At Process Control Lab, there is no simulation model for laboratory-scale heat exchanger pilot plant. Most ofthe time, the plant is being used for ordinary laboratory practice and the performance of this plant is not being analyzed. This project is therefore conducted to study the plant behavior and to optimize its performance by simulating it withnewtype of controller. The first goal of this project is to model the heat exchanger pilot plant by using empirical modelling method. It will yield the plant transfer function, GP that can be used for temperature controller analysis. Besides empirical modelling, mathematical modelling is also being carried out to study the heat exchanger behavior. By having the model, there is an alternative way to obtain forecasted data and result without extra cost. The second part of this project is to analyze the model temperature controller performance. Two controllers are being compared, namely PID and Fuzzy Logic Controller. First, PID controller is tested to yield the best tuning parameters for control valve. Ziegler-Nichols and fine tuning method is used to serve this purpose. Next, the data from PI controller simulation is fed into ANFIS toolbox in MATLAB for adaptive learning process. The FIS generated by ANFIS is based on Takagi- Sugeno fuzzy model. The FIS which is subsequently used by the Fuzzy Logic Controller will imitate the PI controller performance and perform based on range of data it has been trained before by ANFIS toolbox. Finally, the comparison between both controllers is concluded where Fuzzy Logic Controller is successfully imitating the PI controller with slightly better performance in terms of rise time, settling time and overshoot percentage

UWB MAC Design Constraints and Considerations

In this paper, we consider the possibility of developing an optimal medium access control (MAC)layer for high data rate ultra-wideband (UWB) transmission systems that transmit minimal power. MAC in UWB wireless networks is required to coordinate channel access among competing devices. The unique UWB characteristics offer great challenges and opportunities in effective UWB MAC design. We first study the background of UWB and available MAC protocols that have been used in UWB. Secondly, we explore the constraints on UWB MAC design. Finally we present the considerations that need to be made in designing an optimal UWB MAC protocol

Service Quality And Its Relationship With Customer Satisfaction Towards Customer Loyalty

This research was conducted to find and get a better understanding of service quality level and to examine the relationship between service quality, customer satisfaction and customer loyalty with the services offered by the audit firms. SERVQUAL model will be used to measure the public listed companies perception and expectation with the audit services received