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This book constitutes the refereed proceedings of the 13th
International Conference on Machine Learning and Cybernetics,
Lanzhou, China, in July 2014. The 45 revised full papers presented
were carefully reviewed and selected from 421 submissions. The
papers are organized in topical sections on classification and
semi-supervised learning; clustering and kernel; application to
recognition; sampling and big data; application to detection;
decision tree learning; learning and adaptation; similarity and
decision making; learning with uncertainty; improved learning
algorithms and applications.
Cloud computing is the latest market-oriented computing paradigm
which brings software design and development into a new era
characterized by "XaaS", i.e. everything as a service. Cloud
workflows, as typical software applications in the cloud, are
composed of a set of partially ordered cloud software services to
achieve specific goals. However, due to the low QoS (quality of
service) nature of the cloud environment, the design of workflow
systems in the cloud becomes a challenging issue for the delivery
of high quality cloud workflow applications. To address such an
issue, this book presents a systematic investigation to the three
critical aspects for the design of a cloud workflow system, viz.
system architecture, system functionality and quality of service.
Specifically, the system architecture for a cloud workflow system
is designed based on the general four-layer cloud architecture,
viz. application layer, platform layer, unified resources layer and
fabric layer. The system functionality for a cloud workflow system
is designed based on the general workflow reference model but with
significant extensions to accommodate software services in the
cloud. The support of QoS is critical for the quality of cloud
workflow applications. This book presents a generic framework to
facilitate a unified design and development process for software
components that deliver lifecycle support for different QoS
requirements. While the general QoS requirements for cloud workflow
applications can have many dimensions, this book mainly focuses on
three of the most important ones, viz. performance, reliability and
security. In this book, the architecture, functionality and QoS
management of our SwinDeW-C prototype cloud workflow system are
demonstrated in detail as a case study to evaluate our generic
design for cloud workflow systems. To conclude, this book offers a
general overview of cloud workflow systems and provides
comprehensive introductions to the design of the system
architecture, system functionality and QoS management.
Nanomaterials in Rocket Propulsion Systems covers the fundamentals
of nanomaterials and examines a wide range of innovative
applications, presenting the current state-of-the-art in the field.
Opening with a chapter on nano-sized energetic materials, the book
examines metal nanoparticles-based fuels, ballistic modifiers,
stabilizers and catalysts as the components of rocket propellants.
Hydrogen storage materials for rocket propulsion based on nanotubes
are then discussed, as are nano-porous materials and metal organic
frameworks, nano-gelled propellants, nano-composite ablators and
ceramic nano-composites. Other applications examined include high
thermal conductivity metallic nano-composite nozzle liners,
nano-emitters for Coulomb propulsion of space-crafts, and highly
thermostable nano-ceramics for rocket motors. The book finishes
with coverage of combustion of nano-sized rocket fuels,
nano-particles and their combustion in micro- and
nano-electromechanical systems (MEMS/NEMS), plasma propulsion and
nano-scale physics. Users will find this to be a valuable resource
for academic and government institutions, professionals, new
researchers and graduate students working in the application of
nanomaterials in the aerospace industry.
This book constitutes the refereed proceedings of the 11th
International Conference on Cloud Computing, CloudComp 2021, held
in December 2021. Due to COVID-19 pandemic the conference was held
virtually. The 17 full papers were carefully reviewed and selected
from 40 submissions and detail cloud computing technologies for
efficient and intelligent computing in secure and smart
environments with distributed devices. The theme of CloudComp 2021
was "Cloud Computing for Secure and Smart Applications". The book
is organized in three general areas of data analytics for cloud
systems with distributed applications, cloud architecture and
challenges in real-world use, and security in cloud/edge platforms.
Geoenvironmental Engineering and Geotechnics: Progress in Modeling
and Applications (GSP 204), presents 39 papers that represent the
latest developments in the application of soil, rock, and
groundwater mechanics in geotechnical engineering modeling and
practice including: the relationship between geotechnical
engineering and sustainability; new evidence and research into the
strength and deformational behavior of soil; and recent advances in
characterization and modeling of groundwater flow in geological
formations of diverse geotechnical properties. This Geotechnical
Special Publication examines these and other important areas of
geotechnical engineering using three main categories:
Geoenvironmental Engineering, Geotechnics and Seepage and Porous
Mechanics. These papers were presented at the GeoShanghai 2010
Conference, sponsored by the Geo-Institute of the American Society
of Civil Engineers, held in Shanghai, China, June 35, 2010.
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