We study a class of stationary processes indexed by Z that are defined via minors of d-dimensional Toeplitz matrices. We obtain necessary and sufficient conditions for the existence of a phase transition (phase multiplicity) analogous to that which occurs in statistical mechanics. The absence of a phase transition is equivalent to the presence of a strong K property, a particular strengthening ...

We study a class of stationary processes indexed by Z that are defined via minors of d-dimensional (multilevel) Toeplitz matrices. We obtain necessary and sufficient conditions for phase multiplicity (the existence of a phase transition) analogous to that which occurs in statistical mechanics. Phase uniqueness is equivalent to the presence of a strong K property, a particular strengthening of t...

The emergence of highly instrumented manufacturing systems has enabled the paradigm smart that provides high levels prognostics functionality. Of particular interest is to precisely determine geometric conformance or non-conformance workpieces during manufacturing. This paper presents a new dimensional product health monitoring system learns from in-process sensor data and updates prediction qu...

Interrupting the processes which control ecosystem resources has dramatic impacts on the rangeland conditions. To protect ecosystems and landscape, it needs to understand the ecosystem processes which regulate the ecosystem resources. As main components of ecosystems, patches and inter-patches play important roles in energy and materials cascade. Ecologically, functional parameters such as stab...

There are many evidences that human serum paraoxonase activity modifies plasma lipid profile and paraoxonase has an antiatherogenic property. Non-selective beta-blockers affect plasma lipid profile too, but they have atherogenic property when patients take these drugs in long term. In this study the effect of propranolol, a non-selective beta-blocker, on paraoxonase activity was investigated. L...

Profile monitoring is a relatively new technique in quality control used when the product or process quality is best represented by a profile (or a curve) at each time period. The essential idea is often to model the profile via some parametric method and then monitor the estimated parameters over time to determine if there have been changes in the profiles. Previous modeling methods have not i...

Analysis of execution traces plays a fundamental role in many program analysis approaches, such as runtime verification, testing, monitoring, and specification mining. Execution traces are frequently parametric, i.e., they contain events with parameter bindings. Each parametric trace usually consists of many meaningful trace slices merged together, each slice corresponding to one parameter bind...

In economic design of profiles, parameters of a profile are determined such that the total implementation cost is minimized. These parameters consist of the number of set points, n, the interval between two successive sampling, h, and the parameters of a control chart used for monitoring. In this paper, the Lorenzen-Vance cost function is extended to model the costs associated with implementing...

For implementing data analytic tools in real-world applications, researchers face major challenges such as the complexity of machines or processes, their dynamic operating regimes and the limitations on the availability, sufficiency and quality of the data measured by sensors. The limits on using sensors are often related to the costs associated with them and the inaccessibility of critical loc...

An accurate temperature profile of the multi-stage fractured horizontal well is foundation production interpretation using distributed sensing. In this paper, an oil-water two-phase flow prediction model considering stress sensitivity effect and Joule–Thomson constructed. Based on simulation calculation, wellbore variation under different formation parameters, water cuts, fracture parameters di...