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AbstractIt is challenging to select an appropriate group structure for any given multigroup neutron transport problem. Many group structures were designed long ago, and the reasoning behind the creator’s choices may be unknown. In this work, we apply the simulated annealing optimization method to develop improved group structures for a set of test problems. We then use a random forest (a machine learning method) to identify which group structure will be the best for any new problem based on input characteristics, such as geometry and isotopics.Simulated annealing spans a large solution space before narrowing in on an optimal solution, avoiding local minima by jumping around. Our solution space, however, is large and inconsistent, making finding the optimal group structure infeasible. Instead, we find potentially optimal group structures, ones that yield more accurate solutions than our standard group structures, but are probably not the “best” possible. Group structures are obtained for six classes of problems, ranging from a fast 233U system to a thermal 239Pu system. These were chosen to encompass a series of critical assemblies from the International Criticality Safety Benchmark Evaluation Project (ICSBEP) handbook. These optimized group structures were used in PARTISN for a large range of ICSBEP critical assemblies and compared to the traditional Los Alamos National Laboratory group structures. Our reference solution was from 618-group PARTISN runs. The results were used to train a random forest regressor model with bagging, which was then tested on similar benchmarks. The bagging regressor model chose the best group structure from 52% to 65% of the time, and a subjectively “good” group structure up to 91% of the time.

Microsoft recently rather sheepishly said it would open source its Windows 7 USB/DVD Download Tool, a utility that lets users create bootable copies of Windows 7 on flash drives and [...]

The article focuses on the adoption of digital tools and techniques in studying the behavior of consumers in Japan. One example is the technique called eye tracking which is a solution to conduct market research. Using such technique, shoppers are asked to wear a pair of eyeglasses that measures and records their eye movements while they are shopping.

The author discusses the advantages he believes Blackberry has as it plans to refocus its strategy. After realizing to refocus on delivering, enterprise messaging and productivity solutions, he argues that the company has a fighting chance at earning back its title of King of the Enterprise. However, he warns that Blackberry is now dealing with a very different enterprise market, where bring your own device (BYOD) has become the dominant model.

The article discusses four key industry trends identified and quantified by analysts as bringing monetization opportunities for software manufacturers mobilizing their products as of October 2012. The author notes that exploiting new context-aware capabilities such as location and real-time updating of core datasets to appeal to savvy workers, is the revenue opportunity. It mentions the revenue opportunities for software as a service (SaaS) delivery models.

The article reports on the dominance of computer company Apple Inc. in the near field communications (NFC) segment with the release of its iPhone 5 and the need for rival firms to compete. It notes that rivals need to prepare for the imminent iPhone 5 announcement. Several features of the iPhone 5 are cited which include mobile payment capability, Passbook operating system and location-based technology. It adds that a combination of NC and consumer information brings business opportunities.

Offers a look at Bluetooth technology, a low-powered radio technology designed to address the issues surrounding the use of mobile communications and wireless communications. Transmissions; Advantages; Factors as to why Bluetooth is set to succeed; Applications; Availability.