Rose–Hulman Institute of Technology
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A High-Bandwidth Parallel Active Balancing Controller for Current-Controlled Flying Capacitor Multilevel Converters
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From Graduate Student to Academic Change Maker: Analyzing the Impact of the \u27Making Academic Change Happen\u27 Curriculum on Early Career Faculty and Academic Staff
No full textModeling Virus Diffusion on Social Media Networks with the SMIRQ Model
Full text linkAs social networking services become more complex and widespread, users become increasingly susceptible to becoming infected with malware and risk their data being compromised. In the United States, it costs the government billions of dollars annually to handle malware attacks. Additionally, computer viruses can be spread through schools, businesses, and individuals’ personal devices and accounts. Malware affecting larger groups of people causes problems with privacy, personal files, and financial security. Thus, we developed the probabilistic SMIRQ (pSMIRQ) model that shows how a virus spreads through a generated network as a way to track and prevent future viruses. Our model is an extension of the standard SEIR model used in epidemiology. Notably, our model improves upon SEIR models for this class of problem by accounting for the connections between individuals in social media networks. We modeled this by generating a random-scale free node network via the Barabási-Albert (BA) Algorithm, while maintaining the analytical benefits of SEIR models
