Large-Scale Forcing with Less Communication in Finite-Difference Simulations of Stationary Isotropic Turbulence

「気候変動に適応可能な環境探索のためのマルチスケールシミュレーション」プロジェク

Technology Advancement Influence in Accounting and Information System Fields

This research serves to relate the accounting and information technology fields. The information in the research documents changes in the accounting and information technology fields, and how the fields are expected to change in the coming years. The research also discuss the relationship between the accounting and information technology fields. The topics on the ideal accounting candidates for employers and the expectation gap between graduates skills and employers’ expectations are also discussed. Careers in accounting and information systems and also similar and different basic skills of both fields are documented in the research. The changes in accounting are influenced by the improvements in technology as time progress. Information technology makes integration and communication possible anywhere in the world between businesses. Information technology systems have created a lot of job opportunities. Accounting and Information Systems are two different fields but combined they create a means of collecting, storing, managing, processing, retrieving and reporting financial data effectively

Perceptions of gender balance of IS journal editorial positions

An analysis of 18,854 editorial positions on IS journals was undertaken to examine the perceived gender balance of those positions as an indication of their contribution towards a positive role model for females considering an IS academic career. The nature and extent of perceived gender balance is examined in terms of overall composition of editorial positions, journal prestige and the specific area within IS covered by a journal. The results indicate that perceived gender balance of editorial positions reflects that of ICT academia generally, and that female representation appears to be concentrated in journals covering areas that are traditionally seen as female occupations, e.g., health, education, librarianship. As such, little or no encouragement is given to females considering an IS academic career.<br /

Privacy-Friendly Mobility Analytics using Aggregate Location Data

Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can reveal sensitive information about the users, such as, life style, political and religious inclinations, or even identities. In this paper, we study the feasibility of crowd-sourced mobility analytics over aggregate location information: users periodically report their location, using a privacy-preserving aggregation protocol, so that the server can only recover aggregates -- i.e., how many, but not which, users are in a region at a given time. We experiment with real-world mobility datasets obtained from the Transport For London authority and the San Francisco Cabs network, and present a novel methodology based on time series modeling that is geared to forecast traffic volumes in regions of interest and to detect mobility anomalies in them. In the presence of anomalies, we also make enhanced traffic volume predictions by feeding our model with additional information from correlated regions. Finally, we present and evaluate a mobile app prototype, called Mobility Data Donors (MDD), in terms of computation, communication, and energy overhead, demonstrating the real-world deployability of our techniques.Comment: Published at ACM SIGSPATIAL 201