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SUMMARY:Supercritical fluid high oryzanol (SFE HO) and supercritical fluid low oryzanol (SFE LO) rice bran oils were obtained and compared with that extracted by the Soxhlet (SOX) method. Their composition and stability during storage were determined. The amount of unsaponifiable matter and gamma oryzanol of SFE samples were significantly (p<0.05) higher than SOX. While the amount of tocopherol in SOX (4.0 mg·g -1 ) was higher than that reported in SFE HO and SFE LO, at 3.2 and 2.6 mg·g -1 , respectively. After storage for 42 days at 70 °C the PV, FFA%, conjugated diene and p-anisidine values of SOX were higher than those of SFE HO, and SFE LO. The SFE samples showed better stability than SOX under successive heating and the addition of BHA decreased PV, FFA%, conjugated diene and p-anisidine levels in all samples. KEYWORDS:Oryzanol; Rice bran oil; Shelf life; Soxhlet; Stability; Supercritical fluid extraction; Tocopherol RESUMEN: Estabilidad de aceites de salvado de arroz obtenidos mediante SFE y Soxhlet durante su vida útil en almacenamiento acelerado. Se realizaron extracciones mediante fluido supercrítico de salvado de arroz con alto (SFE HO) y bajo (SFE LO) contenido en orizanol y se comparó con los extraídos mediante Soxhlet (SOX). Se determinó la composición y la estabilidad durante el almacenamiento. La materia insaponificable y el gamma orizanol de las muestras SFE fueron significativamente más altas (p<0,05) que SOX. Mientras la cantidad de tocoferol en SOX (4,0 mg·g -1 ) fue mayor que lo encontrado para SFE HO y SFE LO, 3,2 y 2,6 mg·g -1 respectivamente. Después de 42 días de almacenamiento a 70 °C los valores de PV, FFA %, dienos conjugados y p-anisidina de SOX fueron mayores que los de SFE HO, y SFE LO. Las muestras SFE mostraron mejor estabilidad que SOX bajo calentamiento y la adición de BHA disminuyó el PV, FFA %, dienos conjugados y los niveles de p-anisidina en todas las muestras.

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River water quality degradation is one of the most significant environmental challenges. Over the years, many models have been used to investigate the current state of Malaysian rivers and its effects to the environment. River discharge is an important factor in water quality investigation. An integrative computational model, GIS coupled with SWAT model was being used to predict river discharge of this research. The simulation results in the period 1999 to 2010 represented fluctuation of discharge relatively well with both R2and NSI values were above 0.6. The results proved that the development of integrative GIS technology coupled with SWAT model is a good tool for environmental technology development in terms of investigating the current state of Langat river water quality as well as the capability of simulating the river discharge in the river basin. This shows that GIS-SWAT interface can be a reliable tool for water quality modeling in Malaysia in the future and further development on the software technology is a benefit for the water resources and environmental studies.

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Production lines form the backbone of a manufacturing plant while the warehouse is the heart that pumps the supplies through logistics veins. However, logistics issues among manufacturing industries are well known for causing downstream production problems. Non-transparent warehouse operation and inevitable human error in logistics activities seriously jeopardise the entire downstream manufacturing processes. Existing warehouse management solutions require many sensors spanning the warehouse for tracking logistics activities which are cost-ineffective and inflexible. One aspect of intelligent WMS that has not been explored is the integration of computer vision modeling with Artificial Intelligence (AI) to create a more flexible, transparent, and autonomous warehouse management system (WMS). This study aims to devise a Smart and Flexible WMS (SFlex-WMS) to improve logistics operations in terms of operation costs, process time, and space utilisation. The highlight of the proposed framework is the two major work packages (WP) which focus on flexible, autonomous sensing mechanisms for inventory, logistics tracking, and space mapping, as well as reconstructing the warehouse environment model that reflects all physical changes in the warehouse. SFlex-WMS intends to realize real-time transparent monitoring of warehouse operations. By exploiting the outputs from both WPs, SFlex-WMS is expected to achieve more effective and flexible warehouse operations.

Abstract-A soil and water assessment tool (SWAT) model has been employed for the Langat River basin, Malaysia to predict stream flows. The basin was divided into 27 sub basins comprising 193 hydrological response units. Monthly calibration and validation were performed using the measured discharge data of the Kajang station. One-at-a-time sensitivity analysis using Sequential Uncertainty Fitting (SUFI-2) algorithms was performed to examine the critical input variables of the study area. It was found that the SWAT model can be successfully applied for hydrological evaluation of the basin and the SCS runoff curve number, base flow alpha factor and groundwater delay were found to be the most sensitive parameters. The next step should be conducting a 30 years continuous hydrological modeling. It is needed to analyze the water balance and the hydrological trends of the basin due to the basin experienced major land used changes since 1980 for urbanization activities. IndexTerms-One-at-a-time sensitivity analysis, hydrological modeling, langat river basin, SUFI-2 algorithms.