Universiti Teknologi Petronas

About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.

Reactive extraction of Jatropha curcas L. seed for production of biodiesel: process optimization study.

Abstract: Biodiesel from Jatropha curcas L. seed is conventionally produced via a two-step method: extraction of oil and subsequent esterification/transesterification to fatty acid methyl esters (FAME), commonly known as biodiesel. Contrarily, in this study, a single step in situ extraction, esterification and transesterification (collectively known as reactive extraction) of J. curcas L. seed to biodiesel, was investigated and optimized. Design of experiments (DOE) was used to study the effect of various process parameters on the yield of FAME. The process parameters studied include reaction temperature (30−60 °C), methanol to seed ratio (5−20 mL/g), catalyst loading (5−30 wt %), and reaction time (1−24 h). The optimum reaction condition was then obtained by using response surface methodology (RSM) coupled with central composite design (CCD). Results showed that an optimum biodiesel yield of 98.1% can be obtained under the following reaction conditions: reaction temperature of 60 °C, methanol to seed ratio of 10.5...

Application of artificial neural network in detection of DOS attacks

Abstract: A solo attack may cause a big loss in computer and network systems, its prevention is, therefore, very inevitable. Precise detection is very important to prevent such losses. Such detection is a pivotal part of any security tools like intrusion detection system, intrusion prevention system, and firewalls etc. Therefore, an approach is provided in this paper to analyze denial of service attack by using a supervised neural network. The methodology used sampled data from Kddcup99 dataset, an attack database that is a standard for judgment of attack detection tools. The system uses multiple layered perceptron architecture and resilient backpropagation for its training and testing. The developed system is then applied to denial of service attacks. Moreover, its performance is also compared to other neural network approaches which results more accuracy and precision in detection rate.

Synthesis and Thermophysical Properties of Low Viscosity Amino Acid-Based Ionic Liquids

Abstract: Nowadays ionic liquids are in the focus of scientific interest owing to their attractive properties. In this context, a series of amino acid-based ionic liquids (AAILs; EmimGly, EmimAla, EmimPro, and EmimSer) were synthesized and characterized by NMR and elemental analysis. Thermophysical properties such as density and viscosity were measured in the temperature range of T = (293.15 to 353.15) K and refractive index in the temperature range of T = (293.15 to 333.15) K. The thermal expansion coefficient values were calculated from the acquired experimental density values for T = (293.15 to 363.15) K. A thermogravimetric analyzer (TGA) was used to investigate the thermal degradation behavior of synthesized ionic liquids.