Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 91 for “"Markov process"”.
-
Observation of a Markov process through a noisy channel
Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1962.
-
Application of Markov process to pavement management systems at the network level
… system (PMS) has been developed based on the Markov process. The system uses PCI method for pavement condition rating. The pavement performance prediction model has been developed based on the Markov process. Homogeneous and non-homogeneous Markov chains have been used in the model …
-
A Markov process methodology for modeling machine interactions in timber harvesting systems
… was to determine the feasibility of applying Markov process theory to the analysis of timber harvesting systems and components. Through modeling the interaction between a fixed location slasher and a grapple skidder, it is shown how a Markov model can be used to obtain proportions of delay, …
-
Partially Observable Markov Process Decision Modeling for the Optimal Maintenance of Oil and Gas Pipelines
Partially Observable Markov Decision Process (POMDP) frameworks are employed across various fields. This dissertation studies the applications of POMDP for maintaining oil and gas pipelines. Pipeline maintenance operations comprise several uncertain elements, especially when addressing …
-
Risk-based facility management approach for building components using a discrete Markov process - predicting condition, reliability, and remaining service life
… a probabilistic approach. To do this, a discrete Markov chain model was proposed and developed. The result of this work is a robust process for developing Markov transition probabilities to model the condition degradation process using existing condition assessment data that has been acquired and …
-
Influence modeling of complex stochastic processes
A complex stochastic process involving human behaviors or human group behaviors is computationally hard to model with a hidden Markov process. This is because the state space of such behaviors is often a Cartesian product of a large number of constituent probability spaces, and is exponentially …
-
An algorithm for a two-phase strategy for preventive maintenance
… to preventive maintenance can be described by a Markov Process. The transition probabilities of the Markov Process were obtained from the distributions qf the strength and stress of the components. The underlying distributions were assumed to be double exponential. Various combinations of the …
-
Stochastic Methods for Dilemma Zone Protection at Signalized Intersections
… dilemma zone protection algorithm based on the Markov process, and the simulation-based optimization of traffic signal systems with the retrospective approximation concept. The findings include: the dilemma hazard reaches the maximum when a vehicle moves in the dilemma zone and it can be …
-
Dynamics of Randomly Perturbed Nonlinear Structural and Mechanical Systems With Resonances
… of the reduced model can be approximated by a Markov process. Depending on the strength of the noise, the reduced Markov process takes its values on a line or on a graph with certain gluing conditions at the vertices of the graph. The reduced model will provide a framework for computing …
-
Filter and bounding algorithm development for a helmet mounted micromechanical inertial sensor array
… such as the AIM-9X Sidewinder missile. A Markov process coupling technique used in this research is shown to achieve pointing accuracies of 4 to 11 milliradians. A generalization of the navigation filter to any number of inertial navigators with known relative positioning and attitude …
-
Network modelling for sexually transmitted diseases
… stochastic models are formulated in terms of a Markov process with a finite state space. Two main models are constructed and quantities of interest such as the basic reproduction number and endemic level of the sexually transmitted disease (STD) are obtained. The first model is formulated to …
-
Environmental thermal stresses as a first passage problem
… Two approaches based on the stochastic process theory are used to describe this phenomenon. The structure is idealized as a long hollow viscoelastic cylinder. Two sites are considered: Barrow (AK) and Yuma (AZ). First passage concepts are applied to characterize the reliability of the …
-
Three essays on long memory tests for persistence in volatility and structural vector autoregression modeling of real exchange rates
… Conditional Heteroskedasticity (ARCH), Markov Regime Switching ARCH, and long memory. The long memory series are simulated through a Semi-Markov process with Pareto waiting times and lognormal realizations. The persistence in volatility arising from transition waiting probabilities for a …
-
Running in circles : packet routing on ring networks
… protocol. If packets are inserted by a Bernoulli process and have uniform destinations around the ring, and if the nominal load is kept fixed, then I can construct an upper bound on the expected queue length per node that is independent of the size of the ring. If the packets only travel one or …
-
Problems in feedback queueing systems with symmetric queue disciplines
… is one of two symmetric disciplines. For the processor sharing queue with exponentially distributed service requirements we analyze the departure process, imbedded queue lengths, and the input and output processes. We determine the semi-Markov kernel of the internal flow processes and compute …
-
Avalanches, percolation, and stochastic damage evolution in disordered media
… of elastic-plastic transition as a smooth process is challenged by the compression experiments on micro/nano pillars where plastic strain was observed to accumulate intermittently. Using a discrete spring lattice modeling approach, the intermittent plastic strain avalanche behavior is well …
-
Advances in the Theory of Persistent Neutron Chains
… solving the trunking problem associated with the Markov process of nuclear fission. For half a century, this problem has been solved by truncating fission multiplicities at two, an action known to reduce accuracy for both uranium and plutonium, which typically release between two and three …
-
Stochastic Stability and Nonlinear Control in Mechanical Systems
… conditions. The sample properties of the process are based on the boundary behavior of the associated scalar diffusion process of the amplitude Ito equations. This method is then applied to a linear, gyroscopic problem of a rotating shaft with a random loading demonstrating the …
-
Computability, inference and modeling in probabilistic programming
… recursively-defined stochastic processes of the sort used in nonparametric Bayesian statistics. We present a new construction of the Mondrian process as a partition-valued Markov process in continuous time, which can be viewed as placing a distribution on an infinite kd-tree data …
Page 1 of 5