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This book explores various challenging problems and applications
areas of wireless sensor networks (WSNs), and identifies the
current issues and future research challenges. Discussing the
latest developments and advances, it covers all aspects of in WSNs,
from architecture to protocols design, and from algorithm
development to synchronization issues. As such the book is an
essential reference resource for undergraduate and postgraduate
students as well as scholars and academics working in the field.
This book is written for researchers and postgraduates who are
interested in developing high-accurate energy demand forecasting
models that outperform traditional models by hybridizing
intelligent technologies. It covers meta-heuristic algorithms,
chaotic mapping mechanism, quantum computing mechanism, recurrent
mechanisms, phase space reconstruction, and recurrence plot theory.
The book clearly illustrates how these intelligent technologies
could be hybridized with those traditional forecasting models. This
book provides many figures to deonstrate how these hybrid
intelligent technologies are being applied to exceed the
limitations of existing models.
This book is written for researchers and postgraduates who are
interested in developing high-accurate energy demand forecasting
models that outperform traditional models by hybridizing
intelligent technologies. It covers meta-heuristic algorithms,
chaotic mapping mechanism, quantum computing mechanism, recurrent
mechanisms, phase space reconstruction, and recurrence plot theory.
The book clearly illustrates how these intelligent technologies
could be hybridized with those traditional forecasting models. This
book provides many figures to deonstrate how these hybrid
intelligent technologies are being applied to exceed the
limitations of existing models.
As industrial, commercial, and residential demands increase and
with the rise of privatization and deregulation of the electric
energy industry around the world, it is necessary to improve the
performance of electric operational management. Intelligent Energy
Demand Forecasting offers approaches and methods to calculate
optimal electric energy allocation to reach equilibrium of the
supply and demand. Evolutionary algorithms and intelligent
analytical tools to improve energy demand forecasting accuracy are
explored and explained in relation to existing methods. To provide
clearer picture of how these hybridized evolutionary algorithms and
intelligent analytical tools are processed, Intelligent Energy
Demand Forecasting emphasizes on improving the drawbacks of
existing algorithms. Written for researchers, postgraduates, and
lecturers, Intelligent Energy Demand Forecasting helps to develop
the skills and methods to provide more accurate energy demand
forecasting by employing novel hybridized evolutionary algorithms
and intelligent analytical tools.
As industrial, commercial, and residential demands increase and
with the rise of privatization and deregulation of the electric
energy industry around the world, it is necessary to improve the
performance of electric operational management. Intelligent Energy
Demand Forecasting offers approaches and methods to calculate
optimal electric energy allocation to reach equilibrium of the
supply and demand. Evolutionary algorithms and intelligent
analytical tools to improve energy demand forecasting accuracy are
explored and explained in relation to existing methods. To provide
clearer picture of how these hybridized evolutionary algorithms and
intelligent analytical tools are processed, Intelligent Energy
Demand Forecasting emphasizes on improving the drawbacks of
existing algorithms. Written for researchers, postgraduates, and
lecturers, Intelligent Energy Demand Forecasting helps to develop
the skills and methods to provide more accurate energy demand
forecasting by employing novel hybridized evolutionary algorithms
and intelligent analytical tools.
International tourism is expected to be a major vehicle of economic
development in industrializing countries in the 21st century,
especially for Asia. To generate long-term growth, countries with
tourism-based economies must develop strategies for employing their
comparative advantages to achieve competitive advantages. However,
competitiveness in the tourist industry is multi-dimensional and
complex. This study evaluates the competitiveness of the Taiwanese
tourism sector by a multi-dimensional framework. The theoretical
model proposes that the competitiveness of tourist destinations
should be composed of Ricardian comparative advantages (like the
conditions of natural endowments and the degree of technological
change); Porterian competitive advantages; tourism management,
i.e., providing high quality education and job training, public
goods, support services and reduced transaction costs to enhance
comparative and competitive advantages; and environmental
conditions.
International tourism is expected to be a major vehicle of
economic development in industrializing countries in the 21st
century, especially for Asia. To generate long-term growth,
countries with tourism-based economies must develop strategies for
employing their comparative advantages to achieve competitive
advantages. However, competitiveness in the tourist industry is
multi-dimensional and complex. This study evaluates the
competitiveness of the Taiwanese tourism sector by a
multi-dimensional framework. The theoretical model proposes that
the competitiveness of tourist destinations should be composed of
Ricardian comparative advantages (like the conditions of natural
endowments and the degree of technological change); Porterian
competitive advantages; tourism management, i.e., providing high
quality education and job training, public goods, support services
and reduced transaction costs to enhance comparative and
competitive advantages; and environmental conditions.
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Futuristic Trends in Networks and Computing Technologies - Second International Conference, FTNCT 2019, Chandigarh, India, November 22-23, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Pradeep Kumar Singh, Sanjay Sood, Yugal Kumar, Marcin Paprzycki, Anton Pljonkin, …
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R1,717
Discovery Miles 17 170
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second
International Conference on Futuristic Trends in Network and
Communication Technologies, FTNCT 2019, held in Chandigarh, India,
in November 2019. The 49 revised full papers and 6 short papers
presented were carefully reviewed and selected from 226
submissions. The prime aim of the conference is to invite
researchers from different domains of network and communication
technologies to a single platform to showcase their research ideas.
The selected papers are organized in topical sections on network
and computing technologies; wireless networks and Internet of
Things (IoT); futuristic computing technologies; communication
technologies, security and privacy.
This book explores various challenging problems and applications
areas of wireless sensor networks (WSNs), and identifies the
current issues and future research challenges. Discussing the
latest developments and advances, it covers all aspects of in WSNs,
from architecture to protocols design, and from algorithm
development to synchronization issues. As such the book is an
essential reference resource for undergraduate and postgraduate
students as well as scholars and academics working in the field.
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