The main focus of this study is exploring the spatial distribution of polyaromatics hydrocarbon links between oil spills in the environment via Support Vector Machines based on Kernel-Radial Basis Function (RBF) approach for high precision classification of oil spill type from its sample fingerprinting in Peninsular Malaysia. The results show the highest concentrations of Σ Alkylated PAHs and Σ EPA PAHs in ΣTAH concentration in diesel from the oil samples PP3_liquid and GP6_Jetty with achieving 100% classification output, corresponding to coherent decision boundary and projective subspace estimation. The high dimensional nature of this approach has led to the existence of a perfect separability of the oil type classification from four clustered oil type component; i.e diesel, bunker C, Mixture Oil (MO), lube oil and Waste Oil (WO) with the slack variables of ξ ≠ 0. Of the four clusters, only the SVs of two are correctly predicted, namely diesel and MO. The kernel-RBF approach provides efficient and reliable oil sample classification, enabling the oil classification be optimally performed within a relatively short period of execution and a faster dataset classification where the slack variables ξ are nonzero.
The impact of flood mitigation project in the Kemaman River Basin was assessed in this study. Salinity intrusion was simulated in the study area by 1D numerical model. A 1-D hydrodynamic model coupled with a salinity model was used to analyze the salinity intrusion within Chukai River after the implementation of the flood mitigation project. The model was calibrated and validated using the data measured in Chukai River at 3 points from January 2007 until August 2013. Water quality simulation of salinity has been carried out once an excellent hydrodynamic model was established. The simulated river flow was reasonably matched to the measured data with R2 value 0.88, 0.92 and 0.82, respectively. Results suggest that after the realignment of Chukai River, the seawater intrudes further to the upstream river, causing the increasing salinity in the river about 10 - 15 ppt. However, with the floodway development, the channel would allow more water from Kemaman River being discharged into Chukai River. Increased in the volume of water in Chukai River has led to seawater dilution. Further, it invades the unique stretch of Chukai River and takes the salinity back to the initial state. Findings from the implementation of the flood mitigation project in the Kemaman river basin has benefitted the local society, watershed, and the surrounding biota ecosystems. Importantly, a greater prevention with the risk of repetitive flood damage to the buildings and structures in Kemaman area which has significantly achievable. HIGHLIGHTS Salinity model is used for flood mitigation project High salinity in Chukai river resulted from seawater intrusion Hydrodynamic model is to assess the water quality simulation
One of the growing mental illnesses experienced in Malaysia is depression. There was once when one stage was among Malaysians at a critical and higher stage until the attempt to commit suicide. This study has observed a survey conducted by the Ministry of Health Malaysia to identify and understand the vulnerability experienced by every state in Malaysia focuses on the effect of demographic on mental patients by state, age, ethnicity and gender. The data was collected from the Malaysian Health and Morbidity Survey. The findings showed that the highest state of mental illness was the state of Selangor. The overall depression of Malaysians was increasing at an all-time high. The action taken by the Ministry of Health to address mental illness is by using a positive action plan instead of negative. In conclusion, depression at the highest level is one of the first causes of Malaysians to experience mental disorders in every state. This study suggested some proposals as follow-up action at the end of this study.
This study involves the assessment of family support based on a new instrument (questionnaire). 200 respondents were analyze a large set of variables. A complete set of family support towards opiate dependents was analyzed by a principal component analysis results to determine the variation of the questionnaires and identify the charac variation questions. The result showed that there are answers given by respondents (39.09% of cumulative variation), and a further analysis by cluster analysis categorized all those questions into variation question (HVQ), and this was followed by cluster 1 with moderate variation question (MVQ) and the lowest variation question (LVQ) was in cluster 3. This study involves the assessment of family support based on a new instrument (questionnaire). 200 respondents were selected and a multivariate analysis was used to a large set of variables. A complete set of family support towards opiate dependents by a principal component analysis, followed by a cluster analysis of the PCA results to determine the variation of the questionnaires and identify the charac variation questions. The result showed that there are 7 questions which have high variation in answers given by respondents (39.09% of cumulative variation), and a further analysis by all those questions into 3 groups. Cluster 2 had the highest variation question (HVQ), and this was followed by cluster 1 with moderate variation question (MVQ) and the lowest variation question (LVQ) was in cluster 3. This study involves the assessment of family support based on a new instrument ultivariate analysis was used to a large set of variables. A complete set of family support towards opiate dependents followed by a cluster analysis of the PCA results to determine the variation of the questionnaires and identify the characteristics of high questions which have high variation in answers given by respondents (39.09% of cumulative variation), and a further analysis by groups. Cluster 2 had the highest variation question (HVQ), and this was followed by cluster 1 with moderate variation question (MVQ) and the lowest variation question (LVQ) was in cluster 3. Keywords
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