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This forward-thinking book examines the future of public policy as
a discipline, both as it is taught and as it is practiced.
Critically assessing the limits of current theories and approaches,
leading scholars in the field highlight new models and
perspectives. Chapters present data on what is taught in policy
schools, using survey results from schools of public policy to
assess pedagogical scope and adequacy. The book also considers
policy work in government, and whether theory matches practice.
Reflecting on the future of policy making, policy advice,
implementation and governance in light of the COVID-19 pandemic, it
analyses how policy issues are now framed and debated, the range of
available tools, and how public compliance and popular support have
been eroded by the crisis. This book will be an essential guide to
re-thinking the field of public policy and its theories, methods,
and applications. It will help teachers, students, public managers
and policy-makers navigate the new, turbulent governance landscape
that lies ahead.
This book is the sixth volume of the successful book series on
Robot Operating System: The Complete Reference. The objective of
the book is to provide the reader with comprehensive coverage of
the Robot Operating Systems (ROS) and the latest trends and
contributed systems. ROS is currently considered as the primary
development framework for robotics applications. There are seven
chapters organized into three parts. Part I presents two chapters
on the emerging ROS 2.0 framework; in particular, ROS 2.0 is become
increasingly mature to be integrated into the industry. The first
chapter from Amazon AWS deals with the challenges that ROS 2
developers will face as they transition their system to be
commercial-grade. The second chapter deals with reactive
programming for both ROS1 and ROS. In Part II, two chapters deal
with advanced robotics, namely on the usage of robots in farms, and
the second deals with platooning systems. Part III provides three
chapters on ROS navigation. The first chapter deals with the use of
deep learning for ROS navigation. The second chapter presents a
detailed tuning guide on ROS navigation and the last chapter
discusses SLAM for ROS applications. I believe that this book is a
valuable companion for ROS users and developers to learn more ROS
capabilities and features.
This is the fourth volume of the successful series Robot Operating
Systems: The Complete Reference, providing a comprehensive overview
of robot operating systems (ROS), which is currently the main
development framework for robotics applications, as well as the
latest trends and contributed systems. The book is divided into
four parts: Part 1 features two papers on navigation, discussing
SLAM and path planning. Part 2 focuses on the integration of ROS
into quadcopters and their control. Part 3 then discusses two
emerging applications for robotics: cloud robotics, and video
stabilization. Part 4 presents tools developed for ROS; the first
is a practical alternative to the roslaunch system, and the second
is related to penetration testing. This book is a valuable resource
for ROS users and wanting to learn more about ROS capabilities and
features.
Seven-year-old Anthony Majok was torn from his happy African
village and began running for his life, due to ongoing civil war,
sparked by religious and political strife. The Christian Majok
family, along with many others, refused to take up the Islam faith.
Over the next 17 years, Majok and thousands of lost boys and girls
of Sudan battled well-armed soldiers, vicious animals, hunger and
disease as they fled across the continent. Set in South Sudan,
Ethiopia, Kenya and, finally, the United States, it is Majok's
unwavering faith that helps him withstand devastating hardship.
Journey of Faith conveys not only Majok's moving personal story, it
illuminates the reasons for decades of war in Sudan.
This book is the fifth volume in the successful book series Robot
Operating System: The Complete Reference. The objective of the book
is to provide the reader with comprehensive coverage on the Robot
Operating System (ROS), which is currently considered to be the
primary development framework for robotics applications, and the
latest trends and contributing systems. The content is divided into
six parts. Pat I presents for the first time the emerging ROS 2.0
framework, while Part II focuses on multi-robot systems, namely on
SLAM and Swarm coordination. Part III provides two chapters on
autonomous systems, namely self-driving cars and unmanned aerial
systems. In turn, Part IV addresses the contributions of simulation
frameworks for ROS. In Part V, two chapters explore robotic
manipulators and legged robots. Finally, Part VI presents emerging
topics in monocular SLAM and a chapter on fault tolerance systems
for ROS. Given its scope, the book will offer a valuable companion
for ROS users and developers, helping them deepen their knowledge
of ROS capabilities and features.
This book is used at the graduate or advanced undergraduate level
and many others. Manned and unmanned ground, aerial and marine
vehicles enable many promising and revolutionary civilian and
military applications that will change our life in the near future.
These applications include, but are not limited to, surveillance,
search and rescue, environment monitoring, infrastructure
monitoring, self-driving cars, contactless last-mile delivery
vehicles, autonomous ships, precision agriculture and transmission
line inspection to name just a few. These vehicles will benefit
from advances of deep learning as a subfield of machine learning
able to endow these vehicles with different capability such as
perception, situation awareness, planning and intelligent control.
Deep learning models also have the ability to generate actionable
insights into the complex structures of large data sets. In recent
years, deep learning research has received an increasing amount of
attention from researchers in academia, government laboratories and
industry. These research activities have borne some fruit in
tackling some of the challenging problems of manned and unmanned
ground, aerial and marine vehicles that are still open. Moreover,
deep learning methods have been recently actively developed in
other areas of machine learning, including reinforcement training
and transfer/meta-learning, whereas standard, deep learning methods
such as recent neural network (RNN) and coevolutionary neural
networks (CNN). The book is primarily meant for researchers from
academia and industry, who are working on in the research areas
such as engineering, control engineering, robotics, mechatronics,
biomedical engineering, mechanical engineering and computer
science. The book chapters deal with the recent research problems
in the areas of reinforcement learning-based control of UAVs and
deep learning for unmanned aerial systems (UAS) The book chapters
present various techniques of deep learning for robotic
applications. The book chapters contain a good literature survey
with a long list of references. The book chapters are well written
with a good exposition of the research problem, methodology, block
diagrams and mathematical techniques. The book chapters are lucidly
illustrated with numerical examples and simulations. The book
chapters discuss details of applications and future research areas.
This book shows the push and pull effects between resources, human
security and conflicts in Africa. It recognizes the need for
resources in Africa to be processed into finished goods in order to
influence global market and redefine the pattern of trade relations
with powerful countries of Asia, America and Europe in shaping the
destiny and future of African countries. The achievement of this
laudable objective is plagued by the security challenges which are
directly or indirectly linked to resource-related conflicts rocking
most of the resource endowed countries in the continent, thereby
threatening global peace and security. To deal with this menace in
the continent, it requires global co-operation and support of
foreign governments, international organizations, international
non-government organizations, governments of host countries and its
citizens. The book presents the cases and experiences of countries
that are endowed with resource, as well as have experienced
different forms of human insecurity and have witnessed
environmental conflicts in its analysis, which make the discourse
interesting and quite educating.
This book compiles some of the latest research in cooperation
between robots and sensor networks. Structured in twelve chapters,
this book addresses fundamental, theoretical, implementation and
experimentation issues. The chapters are organized into four parts
namely multi-robots systems, data fusion and localization, security
and dependability, and mobility.
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