Abstract. This paper purposed application of fiber optic as liquid sensor for detection of various concentrations of corn oil. The final result would an additional understanding about fiber optic sensor and could be used in related field such as food industry sector. They are 20 samples of corn oil with different concentrations between 0% until 100% are tasted. For every concentration, would experience a dipped process together with fiber optic before measuring process. Each of concentrations would present different results in line graph. The experiment results would be discussed in listed values of sensitivity, correlation and coefficient of determination of graft which are totally dependent on concentration of corn oil and the light source. With a different value of concentration and 1550nm wavelength of light source, the maximum sensitivity of 0.00072 the coefficient of determination 94.0% is obtained at third slope, respectively. Fiber optic is successfully to be corn oil liquid sensor and would be in high performance by using 1550 nm wavelength of light source and measuring concentration more than 85%.
<p><span>This paper proposes an analysis of the coverage performance of 4G cellular services in UTeM Technology Campus. The performance of the cellular services is presented as the network’s coverage profile which is based on the received signal strength indicator (RSSI). The area under study is virtually divided into 64 grid points where the average RSSI measurements are captured by using an open source software namely G-Mon. The measured values are mapped into the network coverage profile which represents the signal reception quality at each of the grid points. A statistical analysis called Two-Way ANOVA is performed to investigate the correlation of the performance of 4G cellular services in UTeM Technology Campus with the mobile phone brands and service operators. Based on the analysis, it is found that the signal reception in outdoor areas are better than that of indoor areas. In addition, the analysis shows that the propagation loss and signal degradation are two factors that contribute to the 4G services’ performance in UTeM Technology Campus. </span></p>
Modelling and optimisation of sand-casting process have been widely studied in casting research. The present study was developed to compare the four types of mathematical model and find the best model used in the optimised process. The four types of mathematical model discussed in this paper were multiple linear regression model, full factorial model, fractional factorial model and response surface methodology model. The best model will used for the optimized process using soft computing technique. The input parameters of these models were silica sand, bentonite, water and coal dust. Meanwhile, permeability was the model output. The four types of mathematical model produced were statistically validated to test for model adequacy by using ANOVA and coefficient of determination. Each model was finally, validated by using mean square error (MSE) and root square error (RMSE). The research findings proved that respond surface methodology model was the best model as compared the other models, which was significant with p-values of less than 0.05. The model also produced the smallest MSE.
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