Renewal type bootstrap for Markov chains

In this paper we treat a renewal type of bootstrap for atomic Markov chains under minimal moment conditions on renewal times, i.e.Er ²<∞. Three main results are: a) if a Markov chain satisfies the CLT for the mean then it also satisfies a bootstrap CLT; b) if a Markov chain satisfies a uniform CLT over classes of functions then, it also satisfies bootstrap uniform CLT with minimal condition on envelope functionF; c) we establish second order correctness for this procedure. All results are for “in probability” bootstrap and constitute the final word in this setting.     

Redistribution of indium implanted in silicon due to thermal treatment and swift heavy ion irradiation

Silicon layers of 150 nm thickness supersaturated with indium up to ≈5 at% were prepared by multiple energy ion implantation. A redistribution of the implanted impurities caused by post-implantation annealing and following irradiation with swift Bi ions has been observed by means of Rutherford backscattering spectrometry in channelling configuration (RBS/C). It is demonstrated by TEM that the thermal decomposition of the supersaturated Si〈In〉 solution is accompanied by polycrystalline recrystallisation of amorphous silicon, precipitation of the second phase (In) both within the implanted layer and on the surface, as well as by impurity redistribution. The main features of the structure transformation under the influence of the Bi ion irradiation are discussed.     

234U Content in Enriched Uranium as a Function of the 234U Concentration in the Initial Material

The results of calculations of the ²³⁴U content in enriched uranium are presented. These results substantiate the need to change the ASTM C 996 specification for the maximum ²³⁴U content in enriched uranium to 11000 g/g ²³⁵U and the ASTM C 787 specification for the maximum ²³⁴U content in the initial material to 60 g/g U in connection with the possibility of bringing into enrichment production uranium ores with ²³⁴U content higher than 58 g/g U. These changes will permit using initial uranium with ²³⁴U content up to 60 g/g U when enriching the ²³⁵U content to 4.95% with 0.36% ²³⁵U in the waste.     

Integrated reconfiguration and age-based preventive maintenance decision making

The use of manufacturing system reconfiguration in conjunction with maintenance operations has not been previously reported in the literature. This research attempts to incorporate reconfiguration into Preventive Maintenance (PM) actions for improved system performance in terms of reduced total cost. This paper presents an Integrated Reconfiguration and Age-Based Maintenance (IRABM) policy and applies it to a parallel-serial manufacturing system. The expected total cost of implementing the IRABM policy is estimated and minimized through a simulation-based heuristic optimization procedure. Using this method, it is possible to systematically identify the conditions under which the integration of reconfiguration into maintenance is cost effective. In addition, numerical examples demonstrate that the manufacturing system could have a higher probability of fulfilling production requirements at a lower cost under the IRABM policy compared to the conventional age-based PM policy. The influences of the input parameters associated with reconfiguration, production, and reliability on the performance of IRABM policy also are studied.     

An Integrated Experimental and Computational System for the Thermal Characterization of Complex Three-Dimensional Submicron Electronic Devices

This work presents the creation of a coupled analysis engine and experimental system capable of fully characterizing the thermal behavior of complex, 3D, active, submicron, electronic devices. First, the surface temperature field of an activated device is non-invasively measured with submicron spatial resolution. Next, the thermal conductivity of each thin-film layer composing the device is measured and a numerical model is built using these values. The measured temperature distribution map is then used as input for an ultra-fast inverse computational solution to fully characterize the thermal behavior of the complex 3D device. By bringing together measurement and computation, it becomes possible for the first time to non-invasively extract the 3D thermal behavior of nanoscale embedded features that cannot otherwise be accessed. The power of the method was demonstrated by verifying that it can extract details of interest of a representative MOSFET device.     

CAD of efficient TMmn0 single-mode elliptical applicators with coaxial excitation.

This paper suggests computational and engineering approaches to designing single-mode elliptical applicators for thermal processing of cylindrical samples of relatively small diameters. Through a systematic computational experimentation employing a 3D conformal FDTD model, we show that stable and efficient excitation of even and odd TMo modes of elliptical waveguides can be achieved by appropriate placing of two (one active and one passive) coaxial probes extended in the longitudinal direction of the cavity of relatively small height and by choosing the dimensions of the cavity. Effects produced by cylindrical loads inserted in the electric field maxima of the applicators featuring even TM010, TM110, and TM210 modes are studied for materials with different dielectric constants and the loss factors. It is shown that with the proposed excitation supported by simulation of energy coupling and dissipated power the elliptical structure is capable of operating any of these modes in a single-mode regime and generating satisfactory uniformity of the dissipated power within the cylindrical samples.     

DATA CLUSTERING USING A REORGANIZING NEURAL NETWORK

A new approach, designed for clustering of arbitrary distributed patterns, is presented. This study is concerned with the use of a self-organizing neural network as a frame for data clustering. The nearest network nodes in feature space are treated as prototypes, assigned to the corresponding cluster. The rules for dead-node shifting and simple adjustment of coordinates of the active nodes are introduced. The performance of the proposed self-organizing neural network is examined on the benchmark synthetic and the real-world problem.