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This study investigates the performance of the Multilayer Perceptron (MLP) classifier in discriminating the qualities of agarwood oil significant compounds by different qualities based on three training algorithms namely Scaled Conjugate Gradient (SCG), Levernbergh-Marquardt (LM) and Resilient Backpropagation (RP) Neural Network by using Matlab version 2013a. The dataset used in this study were obtained...
This paper presents the modelling of agarwood oil (AO) significant compounds by different qualities using Scaled Conjugate Gradient (SCG) algorithm. This technique involved of data collection from Gas Chromatography-Mass Spectrometry (GC-MS) for compound extraction. The development of Multilayer perceptron (MLP) is used to discriminate the qualities of AO chemical compounds to the high and low quality...
As part of ongoing research for flood modeling, this paper proposes Z-score in identifying the significant rainfall stations in Kelantan River for Multi-Layer Perceptron (MLP) model development. In this work, time series data of river water level was collected with hourly time interval in year 2015. Seven rainfall stations in Kelantan River were used and applied to Z-Score. They are Gunung Gagau 1,...
Agarwood is well known as one of the expensive woods in the world. It has a unique scent which brings it to have wide usages especially in perfumery ingredient, as incense, in traditional medical preparation, and as symbol of wealth. Due to that, this paper presents the analysis on chemical profiles of agarwood chipwood, as a part of agarwood grading system. The work involved of Solid Phase Microextraction...
Recently, the flood modelling based on neural network has become popular among the researches due to its treat not only to human but also animals and plants. This paper presents the application of Z-Score and Feedforward Neural Network (FFNN) in identifying significant rainfall stations in Kelantan River for flood modeling especially at Kuala Krai Station. The daily rainfall and river water level...
Due to its popularity and high market demand, critical analysis on agarwood vapour chemical compounds may provide an alternative quality discrimination of agarwood oil. The proposed work involves the extraction of high quality agarwood using headspace volatile divinylbenzene-carboxen-polydimethysiloxane (DVB-CAR-PDMS) solid phase microextraction (SPME) with different sampling time at 15, 30 and 60...
Agarwood is well known as one of expensive and valuable woods due to its high demand in the market. As part of ongoing research in establishing agarwood oil quality grading, this paper presents Direct Thermal Desorption (DTD) in extracting commercial, high and low quality of agarwood incense. The Gas Chromatography - Flame Ionization Detection (GC-FID) and Gas Chromatography - Mass Spectroscopy (GC-MS)...
In Malaysia, east coast of peninsular is experiencing the rainy season between mid - October until March every year. Heavy seasonal rains cause the Kelantan River to overflow and flood the surroundings area. In this paper, the application of feed forward multi-layer perceptron (FFMLP) in neural networks for flood water level prediction is presented. The method focused on the neuron variation in hidden...
This paper presents the comparison between ARX model and ARMAX model using the data from steam distillation essential oil extraction (SDEOE). The work is implementing system identification approach. The aim of this research is to identify the performance of ARX and ARMAX model toward the system. The input for every model is either Pseudo Random Binary Sequence (PRBS) or Pseudo Random Sequence (PRS)...
This paper presents a review on flood modeling and rainfall-runoff relationships. It was found many methods have been used by previous researches to solve the problem in flood modeling. The suitable techniques were applied based on flood modeling parameters and watershed intensity. Understanding on the rainfall-runoff relationships is one of the requirement and necessity in hydrometeorology. Thus,...
This paper presents a review on significant parameters and techniques in water quality assessments used for drinking, domestic purposes and recreational purposes. To ensure water in good quality there are several parameters that have to be considered. Water quality index (WQI) is one of the most effective tools to an attempt to ascertain the water quality. There are many techniques on water quality...
This paper presents the performance of Non-Linear Auto Regressive with Exogenous input (NLARX) model structure that is applied in modeling of induction based steam distillation system. The input is Pseudo-Random Binary Sequence (PRBS) and the output is temperature. The input-output data was split into two equal set for model estimation and model validation. All the data are transferred to MATLAB R2013a...
This paper presents a review on agarwood and its quality determination. It was found that Aquilaria Malaccensis is the main species in Malaysia and Indonesia. The agarwood has different quality or grades; similarly its essential oil. They are traded at different price according to their quality. Scientific reason showed that chemical compositions of agarwood make them different from each other, thus...
This paper presents the proposed Z-Score in identifying the significant chemical compounds of agarwood incense smoke. The technique is applied to commercial, low and high quality of agarwood samples and the extraction of the compounds were performed by gas chromatography — flame ion detector (GC-FID) and gas chromatography — mass spectrometry (GC-MS) coupled with solid phase microextraction (SPME)...
This paper presents the application of Artificial Neural Network (ANN) in agarwood oil grade classification. The work involved of the extraction of chemical compounds by GC-MS, identification the significant chemical compounds using Z-score, generating the synthetic data using a dedicated formulae and application of ANN classification. The ANN classification is performed and its performance is measured...
Research on gait is increasing among researchers and got worldwide attention. In order to explore and inspect the nature of variables and as part ongoing research in gait studies among children, this paper presents preliminary study of gait which is involved of analyses of several factors i.e. speed, gait cycle and leg length of male and female children. The analysis is performed using statistical...
This paper presents the application of k-Nearest Neighbor (k-NN) in grading the quality agarwood oil. Six agarwood oil samples obtained at Forest Research Institute Malaysia (FRIM) were extracted and their chemical compounds were examined by GC-MS. The work is followed by the grading system using the proposed k-NN. The study shows that there are 10 significant chemical compounds of agarwood oils....
This paper presents classification of the quality of agarwood oils from Malaysia using Z-score technique. Six agarwood oil samples named as MU, MUS, MN, MNS, R5 and HD are analyzed by GC-MS to examine their chemical profiles. The extraction showed that at least forty three volatile compounds are found. The Z-score technique is proposed to identify the significant chemical compounds of the agarwood...
The quality of the agarwood oils plays an important role as it reflects the price of the oil in the market. High quality agarwood oil is traded extensively. In order to obtain good quality agarwood oil, temperature condition during the extraction is one of the important parameter instead of type and time of extraction. An analysis of chemical compounds of agarwood oil involves of three different temperature...
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