30 research outputs found
Transformation of pressurized water reactor ap1000 to fuzzy graph
No full textPressurized water reactor (PWR) type AP1000 is a third generation of a nuclear
power plant. The primary system of PWR using uranium dioxide to generate heat energy
via fission process. The process influences temperature, pressure and pH value of water
chemistry of the PWR. The aim of this paper is to transform the primary system of PWR
using fuzzy autocatalytic set (FACS). In this work, the background of primary system
of PWR and the properties of the model are provided. The simulation result, namely
dynamic concentration of PWR is verified against published data
Malaysian palm oil industry performance during epidemic covid 19
No full textThe epidemic of Covid-19 has a significant impact on demand for vegetable oils, especially palm oil. On a worldwide scale, numerous countries have implemented lockdowns, resulting in the closure of businesses, including the transportation and food industry. Malaysian palm oil industry is primarily reliant on manual labour. Due to total lockdown, workers have suffered many kinds of impacts that affected significantly on the production of palm oil in Malaysia. It also causes the supply chain of palm oil to be disrupted and having a shortage. Hence, current research aims to review the performance of the Malaysian palm oil industry during the epidemic. This research also identifies the impact of epidemic Covid 19 on the Malaysian palm oil industry. This research may help agencies and parties related to the Malaysian palm oil industry to overview and plan the industry sustainability
Using Bézier-Ball Function to Interpolate Positive Real Data and it's Application
No full textThis paper proposes a function that can interpolate real data as well as preserving the nature of the data. A rational cubic Bezier function expressed in terms of Ball control points and weights is presented. Four shape parameters are proposed which provides more freedom to the user to control the shape of the data. Sufficient conditions needed to preserve its positivity are presented. The degree of smoothness attained achieved C-1 continuity. Three different real data are used in the application which are real data of oxygen level in gas, real data of a conductance obtained from experiments and real data consists of the output of a pressurizer inside a Pressurized Water Reactor. The output measures the water level of the pressurizer when the inputs which are the temperature and heat loss are varied. The results show that the proposed method managed to produce smooth interpolants as well as preserving the positivity of the data
Implementation of Revised Heuristic Knowledge in Average-based Interval for Fuzzy Time Series Forecasting of Tuberculosis Cases in Sabah
No full textFuzzy time series forecasting is one method used to forecast in certain reality problems. The research on fuzzy time series forecasting has been increased due to its capability in dealing with vagueness and uncertainty. In this paper, we are dealing with implementation of revised heuristic knowledge to basic average-based interval and showing that these models forecast better than the basic one. We suggest three different lengths of interval, size 5, size 10 and size 20 to be used in comparing these models of average-based interval, average-based interval with implementation of heuristic knowledge and, average-based interval with implementation of revised heuristic knowledge. These models applied to forecast the number of tuberculosis cases reported monthly in Sabah starting from January 2012 until December 2019. A few numerical examples are shown as well. The performances of evaluations are shown by comparison on the values obtained by Mean Square error (MSE) and Root Mean Square Error (RMSE)
A graph-based dynamic modeling for palm oil refining process
No full textGraph theory is a well-established mathematical concept that is widely used in numerous applications such as in biology, chemistry and network analysis. The advancement in the theory of graph has led to the development of a concept called autocatalytic set. In this paper, a mathematical modeling technique namely graph-based dynamic modeling of palm oil refining process is intro-duced. The system parameters are identified in detail in the beginning of the paper. The parameters involved are the chemical compounds used or produced during the refining process. These identified parameters are then modeled as the vertices and edges of the graph. The dynamicity of the system is then simulated and analyzed. The system is simulated using MATLAB software program-ing. The two final products produced by the refining process agreed with results obtained from other published methods. Hence, the effectiveness and simplicity of the model are established
A novel chemometrics method for Halal authentication of gelatin in food products
No full textThe issue of halal authenticity of food and pharmaceutical products has become a concern to Muslims due to fraud and unknown sources of ingredients. The most common non-halal ingredient found in some food products and also Fourier transform infrared (FTIR) spectroscopy is one of the established techniques in food adulteration analysis. However, further analysis using chemometrics method is required due to the large similarities of the gelatin spectra. This paper introduces a novel chemometrics method using Fuzzy Autocatalytic Set (FACS) to determine the FTIR spectra FACS rigorously computational procedure to differentiate bovine, porcine, and fish gelatins for halal authentication purposes
Fuzzy state space model for a pressurizer in a nuclear power plant
No full textIn this paper, Fuzzy State Space Model (FSSM) for a nuclear power plant is proposed. Pressurizer is used to control pressure and temperature in a nuclear power plant. In order to maintain the pressure and the temperature of the system, the effectiveness of the system needs to be monitored frequently. Hence, fuzzy state space approach is used to model the pressurizer. The influence of input to output of the pressurizer is established and presented in this paper. The result from the model is then verified against published data
Intelligent fuzzy logic controller for painting system of vessel
No full textThe most effective way to keep the operating costs to a minimum is controlling corrosion and fouling by painting the vessel and doing a regular maintenance. The quality of the panting is significantly influenced by various inspection and evaluation. The quality of painting depends on Coating, Thickness and Gloss. This paper addresses fuzzy logic control (FLC) approach to measure quality-painting jobs for vessels. Fuzzy Logic Toolbox of MATLAB aids the development of FLC
Transformation of pressurized water reactor AP1000 to fuzzy graph
No full textPressurized water reactor (PWR) type AP1000 is a third generation of a nuclear power plant. The primary system of PWR using uranium dioxide to generate heat energy via fission process. The process influences temperature, pressure and pH value of water chemistry of the PWR. The aim of this paper is to transform the primary system of PWR using fuzzy autocatalytic set (FACS). In this work, the background of primary system of PWR and the properties of the model are provided. The simulation result, namely dynamic concentration of PWR is verified against published data
