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This book constitutes the Proceedings of The Third International
Conference on Smart Vehicular Technology, Transportation,
Communication and Applications (VTCA 2019), Arad, Romania, held on
October 15-18 October 2019 in Arad, Romania. This edition is
technically co-sponsored by "Aurel Vlaicu" University of Arad,
Romania, Southwest Jiaotong University, Fujian University of
Technology, Chang'an University, Shandong University of Science and
Technology, Fujian Provincial Key Lab of Big Data Mining and
Applications, and National Demonstration Center for Experimental
Electronic Information and Electrical Technology Education (Fujian
University of Technology), China, Romanian Academy and General
Association of Engineers in Romania - Arad Section. The book covers
a range of topics including algorithms for optimization, video
processing, parking management, IoT, software testing,
cryptanalysis, NLP, CNN, wireless sensors network, adaptive
security, data protection, green transportation, AI, smart cities,
train control, analytic hierarchy process, big data, car following
model, etc. The books help to disseminate the knowledge about some
active research directions in the field Vehicle Technology and
Communication. The book provides useful information to professors,
researchers and graduated students in area of Vehicle Technology
and Communication.
This book discusses the smooth integration of optical and RF
networks in 5G and beyond (5G+) heterogeneous networks (HetNets),
covering both planning and operational aspects. The integration of
high-frequency air interfaces into 5G+ wireless networks can
relieve the congested radio frequency (RF) bands. Visible light
communication (VLC) is now emerging as a promising candidate for
future generations of HetNets. Heterogeneous RF-optical networks
combine the high throughput of visible light and the high
reliability of RF. However, when implementing these HetNets in
mobile scenarios, several challenges arise from both planning and
operational perspectives. Since the mmWave, terahertz, and visible
light bands share similar wave propagation characteristics, the
concepts presented here can be broadly applied in all such bands.
To facilitate the planning of RF-optical HetNets, the authors
present an algorithm that specifies the joint optimal densities of
the base stations by drawing on stochastic geometry in order to
satisfy the users' quality-of-service (QoS) demands with minimum
network power consumption. From an operational perspective, the
book explores vertical handovers and multi-homing using a
cooperative framework. For vertical handovers, it employs a
data-driven approach based on deep neural networks to predict
abrupt optical outages; and, on the basis of this prediction,
proposes a reinforcement learning strategy that ensures minimal
network latency during handovers. In terms of multi-homing support,
the authors examine the aggregation of the resources from both
optical and RF networks, adopting a two-timescale multi-agent
reinforcement learning strategy for optimal power allocation.
Presenting comprehensive planning and operational strategies, the
book allows readers to gain an in-depth grasp of how to integrate
future coexisting networks at high-frequency bands in a cooperative
manner, yielding reliable and high-speed 5G+ HetNets.
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Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceeding of the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, October 25-28, 2018 Mount Emei, China, Part 1 (Hardcover, 1st ed. 2019)
Shaoquan Ni, Tsu-Yang Wu, Tang-Hsien Chang, Jeng-Shyang Pan, Lakhmi C. Jain
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R4,583
Discovery Miles 45 830
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Ships in 10 - 15 working days
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This book highlights papers presented at the Second International
Conference on Smart Vehicular Technology, Transportation,
Communication and Applications (VTCA 2018), which was held at Mount
Emei, Sichuan Province, China from 25 to 28 October 2018. The
conference was co-sponsored by Springer, Southwest Jiaotong
University, Fujian University of Technology, Chang'an University,
Shandong University of Science and Technology, Fujian Provincial
Key Lab of Big Data Mining and Applications, and the National
Demonstration Center for Experimental Electronic Information and
Electrical Technology Education (Fujian University of Technology).
The conference was intended as an international forum for
researchers and professionals engaged in all areas of smart
vehicular technology, vehicular transportation, vehicular
communication, and applications.
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Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceeding of the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, October 25-28, 2018 Mount Emei, China, Part 2 (Hardcover, 1st ed. 2019)
Yong Zhao, Tsu-Yang Wu, Tang-Hsien Chang, Jeng-Shyang Pan, Lakhmi C. Jain
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R4,548
Discovery Miles 45 480
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Ships in 10 - 15 working days
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This book highlights papers presented at the Second International
Conference on Smart Vehicular Technology, Transportation,
Communication and Applications (VTCA 2018), which was held at Mount
Emei, Sichuan Province, China from 25 to 28 October 2018. The
conference was co-sponsored by Springer, Southwest Jiaotong
University, Fujian University of Technology, Chang'an University,
Shandong University of Science and Technology, Fujian Provincial
Key Lab of Big Data Mining and Applications, and the National
Demonstration Center for Experimental Electronic Information and
Electrical Technology Education (Fujian University of Technology).
The conference was intended as an international forum for
researchers and professionals engaged in all areas of smart
vehicular technology, vehicular transportation, vehicular
communication, and applications.
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Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6-8, 2017, Kaohsiung, Taiwan (Hardcover, 1st ed. 2018)
Jeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain
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R5,982
Discovery Miles 59 820
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Ships in 10 - 15 working days
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This book presents papers from the First International Conference
on Smart Vehicular Technology, Transportation, Communication and
Applications (VTCA 2017). Held from 6 to 8 November 2017 in
Kaohsiung, Taiwan, the conference was co-sponsored by Springer,
Fujian University of Technology in China, Fujian Provincial Key
Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big
Data Mining and Applications, and National Kaohsiung University of
Applied Sciences in Taiwan. The book is a valuable resource for
researchers and professionals engaged in all areas of smart
vehicular technology, vehicular transportation, vehicular
communication, and applications.
3D Bioprinting in Tissue and Organ Regeneration covers
state-of-the-art advances and applications in bioprinting.
Beginning with an introduction that considers techniques, bioinks
and construct design, the authors then move onto a detailed review
of applications of bioprinting in different biomedical fields
(skin, cartilage, bone, vascularized tissue, etc.). This is
followed by a chapter overview of intraoperative bioprinting, which
is widely considered one of the important future trends in this
area. Finally, the authors tackle ethical and regulation concerns
regarding the utilization of bioprinting. The book is written by
three global experts for an audience of students and professionals
with some basic knowledge of bioprinting, but who seek a deeper
understanding of the biomedical applications involved in
bioprinting.
This book includes selected papers from the fourth International
Conference on Smart Vehicular Technology, Transportation,
Communication and Applications (VTCA 2021), held in Chengdu City,
Sichuan Province, China, during May 22-24, 2021. The conference is
technically co-sponsored by Southwest Jiaotong University, Shandong
University of Science and Technology, Fujian University of
Technology, and Minjiang University. The book includes research
works from engineers, researchers, and practitioners interested in
the advances and applications in the field of vehicle technology
and communication. The book covers four tracks, namely (1)
vehicular networking security, (2) vehicular electronics, (3)
intelligent transportation systems, and (4) smart vehicular
communication networks and telematics.
This book discusses the smooth integration of optical and RF
networks in 5G and beyond (5G+) heterogeneous networks (HetNets),
covering both planning and operational aspects. The integration of
high-frequency air interfaces into 5G+ wireless networks can
relieve the congested radio frequency (RF) bands. Visible light
communication (VLC) is now emerging as a promising candidate for
future generations of HetNets. Heterogeneous RF-optical networks
combine the high throughput of visible light and the high
reliability of RF. However, when implementing these HetNets in
mobile scenarios, several challenges arise from both planning and
operational perspectives. Since the mmWave, terahertz, and visible
light bands share similar wave propagation characteristics, the
concepts presented here can be broadly applied in all such bands.
To facilitate the planning of RF-optical HetNets, the authors
present an algorithm that specifies the joint optimal densities of
the base stations by drawing on stochastic geometry in order to
satisfy the users' quality-of-service (QoS) demands with minimum
network power consumption. From an operational perspective, the
book explores vertical handovers and multi-homing using a
cooperative framework. For vertical handovers, it employs a
data-driven approach based on deep neural networks to predict
abrupt optical outages; and, on the basis of this prediction,
proposes a reinforcement learning strategy that ensures minimal
network latency during handovers. In terms of multi-homing support,
the authors examine the aggregation of the resources from both
optical and RF networks, adopting a two-timescale multi-agent
reinforcement learning strategy for optimal power allocation.
Presenting comprehensive planning and operational strategies, the
book allows readers to gain an in-depth grasp of how to integrate
future coexisting networks at high-frequency bands in a cooperative
manner, yielding reliable and high-speed 5G+ HetNets.
The differential quadrature hierarchical finite element method
(DQHFEM) was proposed by Bo Liu. This method incorporated the
advantages and the latest research achievements of the hierarchical
finite element method (HFEM), the differential quadrature method
(DQM) and the isogeometric analysis (IGA). The DQHFEM also overcame
many limitations or difficulties of the three methods.This unique
compendium systemically introduces the construction of various
DQHFEM elements of commonly used geometric shapes like triangle,
tetrahedrons, pyramids, etc. Abundant examples are also included
such as statics and dynamics, isotropic materials and composites,
linear and nonlinear problems, plates as well as shells and solid
structures.This useful reference text focuses largely on numerical
algorithms, but also introduces some latest advances on high order
mesh generation, which often has been regarded as the major bottle
neck for the wide application of high order FEM.
Leverage the power of Kubernetes to build an efficient software
delivery pipeline. Key Features Learn about DevOps, containers, and
Kubernetes all within one handy book A practical guide to container
management and orchestration Learn how to monitor, log, and
troubleshoot your Kubernetes applications Book
DescriptionKubernetes has been widely adopted across public clouds
and on-premise data centers. As we're living in an era of
microservices, knowing how to use and manage Kubernetes is an
essential skill for everyone in the IT industry. This book is a
guide to everything you need to know about Kubernetes-from simply
deploying a container to administrating Kubernetes clusters wisely.
You'll learn about DevOps fundamentals, as well as deploying a
monolithic application as microservices and using Kubernetes to
orchestrate them. You will then gain an insight into the Kubernetes
network, extensions, authentication and authorization. With the
DevOps spirit in mind, you'll learn how to allocate resources to
your application and prepare to scale them efficiently. Knowing the
status and activity of the application and clusters is crucial, so
we'll learn about monitoring and logging in Kubernetes. Having an
improved ability to observe your services means that you will be
able to build a continuous delivery pipeline with confidence. At
the end of the book, you'll learn how to run managed Kubernetes
services on three top cloud providers: Google Cloud Platform,
Amazon Web Services, and Microsoft Azure. What you will learn Learn
fundamental and advanced DevOps skills and tools Get a
comprehensive understanding of containers Dockerize an application
Administrate and manage Kubernetes cluster Extend the cluster
functionality with custom resources Understand Kubernetes network
and service mesh Implement Kubernetes logging and monitoring Manage
Kubernetes services in Amazon Web Services, Google Cloud
Platform,and Microsoft Azure Who this book is forThis book is for
anyone who wants to learn containerization and clustering in a
practical way using Kubernetes. No prerequisite skills are
required, however, essential DevOps skill and public/private Cloud
knowledge will accelerate the reading speed. If you're advanced,
you can get a deeper understanding of all the tools and technique
described in the book.
Learn to implement DevOps using Docker & Kubernetes. About This
Book * Learning DevOps, container, and Kubernetes within one book.
* Leverage Kubernetes as a platform to deploy, scale, and run
containers efficiently. * A practical guide towards container
management and orchestration Who This Book Is For This book is
targeted for anyone, who wants to learn containerization and
clustering in a practical way using Kubernetes. No prerequisite
skills required, however, essential DevOps skill and public/private
Cloud knowledge will accelerate the reading speed. If you're
advanced readers, you can also get a deeper understanding of all
the tools and technique described in the book. What You Will Learn
* Learn fundamental and advanced DevOps skills and tools * Get a
comprehensive understanding for container * Learn how to move your
application to container world * Learn how to manipulate your
application by Kubernetes * Learn how to work with Kubernetes in
popular public cloud * Improve time to market with Kubernetes and
Continuous Delivery * Learn how to monitor, log, and troubleshoot
your application with Kubernetes In Detail Containerization is said
to be the best way to implement DevOps. Google developed
Kubernetes, which orchestrates containers efficiently and is
considered the frontrunner in container orchestration. Kubernetes
is an orchestrator that creates and manages your containers on
clusters of servers. This book will guide you from simply deploying
a container to administrate a Kubernetes cluster, and then you will
learn how to do monitoring, logging, and continuous deployment in
DevOps. The initial stages of the book will introduce the
fundamental DevOps and the concept of containers. It will move on
to how to containerize applications and deploy them into. The book
will then introduce networks in Kubernetes. We then move on to
advanced DevOps skills such as monitoring, logging, and continuous
deployment in Kubernetes. It will proceed to introduce permission
control for Kubernetes resources via attribute-based access control
and role-based access control. The final stage of the book will
cover deploying and managing your container clusters on the popular
public cloud Amazon Web Services and Google Cloud Platform. At the
end of the book, other orchestration frameworks, such as Docker
Swarm mode, Amazon ECS, and Apache Mesos will be discussed. Style
and approach Readers will be taken through fundamental DevOps
skills and Kubernetes concept and administration with detailed
examples. It introduces comprehensive DevOps topics, including
microservices, automation tools, containers, monitoring, logging,
continuous delivery, and popular public cloud environments. At each
step readers will learn how to leverage Kubernetes in their
everyday lives and transform their original delivery pipeline for
fast and efficient delivery.
In this thesis, we revised and proposed several models and then
used them to forecast the stock index. The first model is an
improved version of the GM (1, 1) model by introducing two
parameters. Then we revised the normal hybrid model G-ARMA by
merging the ARMA model with the improved GM (1, 1) model. In order
to overcome the drawback of directly modeling original stock index,
we introduced wavelet methods into the revised G-ARMA model and
named this new hybrid model WG-ARMA. Finally, we obtained the last
hybrid model WPG-ARMA by replacing the wavelet transform with the
wavelet packet decomposition. For hybrid models, we estimated
parameters of the hybrid models as the whole instead of estimating
parameters for each sub-model separately. To verify prediction
performance of the models, we presented case studies for the models
based on a leading Canadian stock index. The experimental results
gave the rank of predictive ability in terms of the TAE, MPAE and
DIR metrics as following: WPG-ARMA model, WG-ARMA model, revised
G-ARMA model, improved GM (1, 1) model, and ARIMA model.
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