Temporal Information Partitioning Networks (TIPNets): A process network approach to infer ecohydrologic shifts

Network Infusion to Infer Information Sources in Networks

Several models exist for diffusion of signals across biological, social, or engineered networks. However, the inverse problem of identifying the source of such propagated information appears more difficult even in the presence of multiple network snapshots, and especially for the singlesnapshot case, given the many alternative, often similar, progression of diffusion that may lead to the same o...

A Systematic Method to Analyze Transport Networks: Considering Traffic Shifts

Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation...

Information Driven Ecohydrologic Self-Organization

Variability plays an important role in the self-organized interaction between vegetation and its environment, yet the principles that characterize the role of the variability in these interactions remain elusive. To address this problem, we study the dependence between a number of variables measured at flux towers by quantifying the information flow between the different variables along with th...

Evaluation of an Ecohydrologic-Process Model Approach to Estimating Annual Mountain-Block Recharge

A Temporal Approach to Stochastic Network Calculus

Stochastic network calculus is a newly developed theory for stochastic ser-vice guarantee analysis of computer networks. In the current stochastic net-work calculus literature, its fundamental models are based on the cumulativeamount of traffic or cumulative amount of service. However, there are net-work scenarios where direct application of such models is difficult. This pa...