In many networked embedded systems, crucial factors for correct functionality are the network’s real-time capability, determinism, and reliability. Besides these requirements, a high network performance in terms of throughput and latency is desired. One of the applied techniques to improve performance is cut-through communication. It allows to forward messages as soon as the packet header is pr...

We present a phase shift datuming and migration algorithm for the data acquired on a nonnat surface. First of all, we formulate the exploding reeector modeling scheme for a nonnat recording surface. Then, the migration scheme is found as the conjugate operator of the modeling operator. In order to get the correct migration and datuming operators, the forward modeling must be physically reasonab...

Approach • Complete reverse kinetics and Computational Fluid Dynamics (CFD) modeling to optimize reactor geometry for forward reactions • Measure forward kinetics in quartz & Inconel reactors to determine reactor wall catalysis • Measure forward kinetics in reactor packed with membrane material to determine catalytic activity • Measure membrane H2 permeability in presence of clean syngas compon...

Nowadays, Hidden Markov models are extensively utilized for modeling stochastic processes. These models help researchers establish and implement the desired theoretical foundations using Markov algorithms such as Forward one. however, Using Stability hypothesis and the mean statistic for determining the values of Markov functions on unstable statistical data set has led to a significant reducti...

Proxy system modeling can be used in paleoclimatology to improve the interpretation of paleoclimate data. Existing forward models for climate proxies are somewhat scattered in the literature, making their integration difficult. Further, each model has been coded separately, according to disparate conventions. Here, we present a comprehensive, consistently formatted package of forward models for...

nowadays, hidden markov models are extensively utilized for modeling stochastic processes. these models help researchers establish and implement the desired theoretical foundations using markov algorithms such as forward one. however, using stability hypothesis and the mean statistic for determining the values of markov functions on unstable statistical data set has led to a significant reducti...

Applying a knowledge-based approach to monitoring and controlling real-time systems is often infeasible because the execution time of backward-chaining queries is unpredictable. In this paper, we show how a decomposition of reasoning into forward and backward inference can bound the execution time of queries. We present a domain modeling technique with algorithms for classifying knowledge into ...