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A substantial amount of research has been conducted on consecutive
k-out-of-n and related reliability systems over the past four
decades. These systems have been used to model various engineering
systems such as the microwave stations of telecoms network, oil
pipeline systems, and vacuum systems in an electron accelerator. As
such, studies of reliability properties of consecutive k-out-of-n
structures have attracted significant attention from both
theoretical and practical approaches. In the modern era of
technology, the redundancies are employed in the various industrial
systems to prevent them from failure/sudden failure or to recover
from failures. This book is meant to provide knowledge and help
engineers and academicians in understanding reliability engineering
by using k-out-of-n structures. The material is also targeted at
postgraduate or senior undergraduate students pursuing reliability
engineering.
A substantial amount of research has been conducted on consecutive
k-out-of-n and related reliability systems over the past four
decades. These systems have been used to model various engineering
systems such as the microwave stations of telecoms network, oil
pipeline systems, and vacuum systems in an electron accelerator. As
such, studies of reliability properties of consecutive k-out-of-n
structures have attracted significant attention from both
theoretical and practical approaches. In the modern era of
technology, the redundancies are employed in the various industrial
systems to prevent them from failure/sudden failure or to recover
from failures. This book is meant to provide knowledge and help
engineers and academicians in understanding reliability engineering
by using k-out-of-n structures. The material is also targeted at
postgraduate or senior undergraduate students pursuing reliability
engineering.
In honor of the work of Professor Shunji Osaki, Stochastic
Reliability and Maintenance Modeling provides a comprehensive study
of the legacy of and ongoing research in stochastic reliability and
maintenance modeling. Including associated application areas such
as dependable computing, performance evaluation, software
engineering, communication engineering, distinguished researchers
review and build on the contributions over the last four decades by
Professor Shunji Osaki. Fundamental yet significant research
results are presented and discussed clearly alongside new ideas and
topics on stochastic reliability and maintenance modeling to
inspire future research. Across 15 chapters readers gain the
knowledge and understanding to apply reliability and maintenance
theory to computer and communication systems. Stochastic
Reliability and Maintenance Modeling is ideal for graduate students
and researchers in reliability engineering, and workers, managers
and engineers engaged in computer, maintenance and management
works.
In honor of the work of Professor Shunji Osaki, Stochastic
Reliability and Maintenance Modeling provides a comprehensive study
of the legacy of and ongoing research in stochastic reliability and
maintenance modeling. Including associated application areas such
as dependable computing, performance evaluation, software
engineering, communication engineering, distinguished researchers
review and build on the contributions over the last four decades by
Professor Shunji Osaki. Fundamental yet significant research
results are presented and discussed clearly alongside new ideas and
topics on stochastic reliability and maintenance modeling to
inspire future research. Across 15 chapters readers gain the
knowledge and understanding to apply reliability and maintenance
theory to computer and communication systems. Stochastic
Reliability and Maintenance Modeling is ideal for graduate students
and researchers in reliability engineering, and workers, managers
and engineers engaged in computer, maintenance and management
works.
In recent years, applied mathematics has been used in all novel
disciplines of scientific development. Advances in Applied
Mathematical Problems summarizes interdisciplinary work within the
field of applied mathematics. The topics discussed in the book
include: * Similarity Solutions of Spherical Shock Waves in a
Self-Gravitating Ideal Gas * Dual Solutions for Finite Element
Analysis of Unsteady Hydromagnetic Stagnation Point Flow of Water
Nanofluid Generated by Stretching Sheet * Multiparametric modeling
of carbon cycle in temperate wetlands for regional climate change
analysis using satellite data * An Intelligent Neuro Fuzzy System
for Pattern Classification * Fuzzy inventory model with demand,
deterioration and inflation: a comparative study through NGTFN and
CNTFN * Summability and its application for the stability of the
system * Design Of Manufacturing, Control, And Automation Systems *
SEIR - Application for Crop through Water and Soil Texture *
Advances in radial basis functions * Modeling for Time Period of
Natural Frequency for Non-Homogeneous Square Plate With Variable
Thickness and Temperature Effect * A Study On Metric Fixed Point
Theorems Satisfying Integral Type Contractions * Objective Function
- In Radiometric Studies - Application to Agrs Surveys Associated
With Radon * Modelling Kernel Function in Black body Radiation
Inversion
The Handbook of Software Aging and Rejuvenation provides a
comprehensive overview of the subject, making it indispensable to
graduate students as well as professionals in the field. It begins
by introducing fundamental concepts, definitions, and the history
of software aging and rejuvenation research, followed by methods,
tools, and strategies that can be used to detect, analyze, and
overcome software aging.
Operations research uses quantitative models to analyze and predict
the behavior of systems and to provide information for decision
makers. Two key concepts in such research are optimization and
uncertainty. Typical models in stochastic operations research
include queueing models, inventory models, financial engineering
models, reliability models, and simulation models. This book
contains a collection of peer-reviewed papers from the
International Workshop on Recent Advances in Stochastic Operations
Research (2007 RASOR Nanzan) held on March 5-6, 2007, at Nanzan
University, Nagoya, Japan. It enables advanced readers to
understand the recent topics and results in stochastic operations
research.
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