|
Showing 1 - 8 of
8 matches in All Departments
Advances in Materials and Pavement Performance Prediction contains
the papers presented at the International Conference on Advances in
Materials and Pavement Performance Prediction (AM3P, Doha, Qatar,
16- 18 April 2018). There has been an increasing emphasis
internationally in the design and construction of sustainable
pavement systems. Advances in Materials and Pavement Prediction
reflects this development highlighting various approaches to
predict pavement performance. The contributions discuss links and
interactions between material characterization methods, empirical
predictions, mechanistic modeling, and statistically-sound
calibration and validation methods. There is also emphasis on
comparisons between modeling results and observed performance. The
topics of the book include (but are not limited to): * Experimental
laboratory material characterization * Field measurements and in
situ material characterization * Constitutive modeling and
simulation * Innovative pavement materials and interface systems *
Non-destructive measurement techniques * Surface characterization,
tire-surface interaction, pavement noise * Pavement rehabilitation
* Case studies Advances in Materials and Pavement Performance
Prediction will be of interest to academics and engineers involved
in pavement engineering.
This book aims to be a complete guide to diagnose, manage and treat
rare lung diseases encountered by practising pulmonologists and
trainees. It extensively covers the "more common" of the rare lung
diseases, categorising them based on developmental lung anomalies
in adults, airway disorders, diffuse parenchymal lung diseases,
neoplasms, rare vascular disorders and other miscellaneous
conditions. This comprehensive review facilitates the study and
understanding of this complex and diverse set of disorders,
focussing on differential diagnosis, evidence-based discussions of
management algorithms, and thoughtful analysis of treatment
options. Key Features: 1. Reviews multiple rare lung diseases,
including ones acquired congenitally to be expressed in old age. 2.
Enriched with case studies and illustrations, guides the
respiratory physicians and trainees to devise an effective
treatment plan. 3. Focuses on concerned investigations, with a
section on role of new procedures in the management.
This book aims to be a complete guide to diagnose, manage and treat
rare lung diseases encountered by practising pulmonologists and
trainees. It extensively covers the "more common" of the rare lung
diseases, categorising them based on developmental lung anomalies
in adults, airway disorders, diffuse parenchymal lung diseases,
neoplasms, rare vascular disorders and other miscellaneous
conditions. This comprehensive review facilitates the study and
understanding of this complex and diverse set of disorders,
focussing on differential diagnosis, evidence-based discussions of
management algorithms, and thoughtful analysis of treatment
options. Key Features: 1. Reviews multiple rare lung diseases,
including ones acquired congenitally to be expressed in old age. 2.
Enriched with case studies and illustrations, guides the
respiratory physicians and trainees to devise an effective
treatment plan. 3. Focuses on concerned investigations, with a
section on role of new procedures in the management.
This research work is mainly focused on suspending the steel ball
without any mechanical support in desired position and how the
Magnetic Levitation System works in presence of disturbance with
help of an efficient controller.The tracking performance and
robustness is also checked for this system. For tracking, two type
of reference trajectory are modelled. One is sine wave and other is
a set of constant point varying at different levels. Lastly for
robust performance, disturbance is applied in MLS.For this task we
have designed Interval Type-2 Fuzzy Logic Controller (IT2FLC),
Interval Type-2 Single Input Fuzzy Logic Controller (IT2SIFLC),
Interval Type-2 Fuzzy Sliding Mode Controller (IT2FSMC) based on
theory of type-2 fuzzy logic systems. Uncertainty is an inherent
part of intelligent systems used in real world applications.
Conventional controllers can not fully handle the uncertainties
present in real-time systems. Type-2 fuzzy sets that are used in
type-2 fuzzy systems can handle such uncertainties in a better way
because they provide us an extra degree of freedom. At last The
designed controller's performance is compared with the feedback
linearization control.
|
You may like...
Higher
Michael Buble
CD
(1)
R172
Discovery Miles 1 720
|