Advanced computer modeling has enabled British Petroleum (BP) to determine the best design and operating conditions for its oil refinery in Kwinana. BP teamed up with the Curtin University of Technology and the University of Newcastle to develop a computational fluid dynamics (CFD) model for the refinery’s catalyst strippers, which use steam to separate hydrocarbons from the process that breaks up heavy crude oil into smaller molecular parts. A team led by Curtin’s Center of Process Systems Computations (CPSC) used the CFD model to evaluate the internal structure that impacts the interactions between gases and solids, and to determine the optimal mix of steam, catalyst, and hydrocarbons inside the stripper. CPSC director Vishnu Pareek says simulating a few seconds of real-time interaction in the catalyst stripper used to take weeks. “This project used innovative techniques to achieve realistic flow predictions with the least amount of computational effort required,” he says. BP says the CFD model will help save hundreds of thousands of dollars annually on steam usage.
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Computational Modeling Improves Refinery Performance |
by sparky3887
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Computer Science Lacks Women, Minorities |
by sparky3887
The U.S. Bureau of Labor Statistics (BLS) reports that few students are enrolling in computer science courses, particularly women and minorities. The BLS ranks computer application software engineering as the fourth most in-demand occupation in its Occupational Handbook for 2006-2016, largely because of the growing number of applications for emerging technologies and the increasing complexity of businesses. However, the National Science Foundation’s (NSF’s) Jan Cuny says there has been a major drop-off in the number of computer scientists entering the workforce since 2000. Since 2000, 70 percent fewer students have majored in computer science, with 80 percent fewer women entering the field, according to Computing Research Association data. Cuny says the Higher Education Research Institute reports that only 1 percent of students are majoring in computer science, and just 0.3 percent are women. University of North Carolina (UNC) at Greensboro professor Anthony Chow says that over the past eight years there has been a slight increase in women’s enrollment in computer science at the undergraduate level, but on the graduate level minority enrollment plunges to extremely small percentages. Retaining minority employees is another major problem, with nearly half of all minorities leaving technology jobs to enter other occupations, according to the National Association for the Advancement of Colored People. Isolation is a major factor in the drop-out rates for women and minorities, says Teresa Dahlberg, director of the Diversity in Information Technology Institute at UNC Charlotte. She also says that women are often judged more harshly than men. Cuny says NSF is focusing on information education programs intended to spark student interest in computing by demonstrating how computers can solve programs through creativity, and also is working to infuse computer science into middle school and high school curricula.
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Malicious Systems of a Feather Flock Together |
by sparky3887
Indiana University and Oak Ridge National Laboratory researchers have developed a method for finding where malicious systems originate. The researchers performed a statistical analysis of Internet Protocol (IP) addresses from blacklists to identify Internet service providers, hosting services, or other autonomous systems with high levels of blacklisted IP addresses. “We wanted to be able to say if a particular network is doing a good job of cleaning up its machines,” says Oak Ridge researcher Craig Shue. The researchers found that some autonomous systems have more than 80 percent of their IP addresses blacklisted. Three U.S.-based hosting providers accounted for more than six percent of one of the blacklists, a disproportionately large percentage for the size of the systems. “This indicates that some [autonomous systems] have either too lax a security policy or may be intentionally harboring cybercrime,” the researchers say. The next step is to evaluate the quality of the blacklist data.
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