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Innovative ideas provide solutions to problems that creators are
passionate about, which stimulates the decision of technology-based
company creation. This book explores the fundamental elements and
economic valuation of technology-based startups and their immediate
ecosystems. It covers all the phases and the required competencies
for technological startup creation and development. This book also
provides a comprehensive coverage of methods and recommendations
for defining and assessing opportunities to create new tech
companies for many young researchers or students aspiring to be
innovators. Featuring contributions from financial market analysts,
business professionals, and venture capitalists, this book benefits
readers from different disciplines, technical or non-technical,
associated with tech startup projects.Â
This book provides a comprehensive coverage of hardware security
concepts, derived from the unique characteristics of emerging logic
and memory devices and related architectures. The primary focus is
on mapping device-specific properties, such as multi-functionality,
runtime polymorphism, intrinsic entropy, nonlinearity, ease of
heterogeneous integration, and tamper-resilience to the
corresponding security primitives that they help realize, such as
static and dynamic camouflaging, true random number generation,
physically unclonable functions, secure heterogeneous and
large-scale systems, and tamper-proof memories. The authors discuss
several device technologies offering the desired properties
(including spintronics switches, memristors, silicon nanowire
transistors and ferroelectric devices) for such security primitives
and schemes, while also providing a detailed case study for each of
the outlined security applications. Overall, the book gives a
holistic perspective of how the promising properties found in
emerging devices, which are not readily afforded by traditional
CMOS devices and systems, can help advance the field of hardware
security.
This book comprises select peer-reviewed proceedings of the
International Conference Trending Moments and Steer Forces - Civil
Engineering Today (TMSF 2019). It presents latest research in
different domains of civil engineering like structural and concrete
engineering, geotechnical engineering, transportation engineering,
environmental engineering, and construction technology and
management. The contents also include miscellaneous applications of
civil engineering in a wide range of technical and societal
problems making use of engineering principles and relational data
structures involving measurement sciences. Given the range of
topics covered, this book can be useful for students, researchers
as well as practitioners working in the field of civil engineering.
This book features selected papers presented at the 3rd
International Conference on Wireless Communications and
Applications (ICWCA 2019), held at Hainan University, China.
Focusing on applications of the latest smart theories and
approaches, and recent advances in the field, it covers topics such
as OFDM and multi-carrier techniques; smart antenna and space-time
signal processing; MIMO, multi-user MIMO, and massive MIMO;
modulation, coding, and diversity techniques; dynamic spectrum
access and cognitive radio; interference management and radio
resource allocation; equalization techniques; synchronization,
estimation, and detection techniques; and wireless multiple access
(e.g. CDMA, OFDMA, NOMA, ).
This volume offers fresh insights into economic development and
growth in emerging economies. It includes contributions covering
topics such as natural disasters and income inequalities, the
environmental impact of economic growth, social preferences,
information and market disorder under democracy, inflation
targeting and its covariates, economic empowerment. This book is
intended for scholars in the field of economics, and those
interested in furthering economic development.
This book offers a transdisciplinary perspective on the concept of
"smart villages" Written by an authoritative group of scholars, it
discusses various aspects that are essential to fostering the
development of successful smart villages. Presenting cutting-edge
technologies, such as big data and the Internet-of-Things, and
showing how they have been successfully applied to promote rural
development, it also addresses important policy and sustainability
issues. As such, this book offers a timely snapshot of the
state-of-the-art in smart village research and practice.
The transitional politics of Eurasian space is marked by a constant
struggle among three sets of ideas and institutions: the first is
the remarkable resilience of Soviet ideas and institutions; second,
an attempt by the regimes of these states to reinvent the
historical and cultural traditions of pre-Soviet periods; and third
is an attempt by a section of the powerful elite to superimpose
Western liberal ideas and institutions. There is a strange
intertwining of these ideas and institutions. This book examines
the extent to which the post-Soviet politics has departed from the
Soviet one. What are the new ideational structures emerging in
these states and how far have they crystallised into institutions?
What are the external influences which are shaping the institutions
in the Eurasian space? And finally, what are the various dynamics
of geopolitics in this region? Experts from various countries will
delve into the shifting dynamics of Eurasian politics.
This book gathers selected papers presented at the 3rd
International Conference on Wireless Communications and
Applications (ICWCA 2019), held at Hainan University, China. It
covers up-to-date smart theories and approaches, as reflected in
contemporary technical achievements in the area. The topics covered
include: software-defined networking (SDN) and network function
virtualization (NFV), future data center networks, 5G/6G mobile
networks, QoS/QoE support in future networks, future Internet of
things (IoT) networks, network fault management and service
availability, and many others.
This book features a collection of high-quality research papers
presented at the International Conference on Intelligent and Cloud
Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be
University), Bhubaneswar, India, on December 20, 2019. Including
contributions on system and network design that can support
existing and future applications and services, it covers topics
such as cloud computing system and network design, optimization for
cloud computing, networking, and applications, green cloud system
design, cloud storage design and networking, storage security,
cloud system models, big data storage, intra-cloud computing,
mobile cloud system design, real-time resource reporting and
monitoring for cloud management, machine learning, data mining for
cloud computing, data-driven methodology and architecture, and
networking for machine learning systems.
This book gathers selected papers presented at the conference
"Advances in 3D Image and Graphics Representation, Analysis,
Computing and Information Technology," one of the first initiatives
devoted to the problems of 3D imaging in all contemporary
scientific and application areas. The aim of the conference was to
establish a platform for experts to combine their efforts and share
their ideas in the related areas in order to promote and accelerate
future development. This second volume discusses algorithms and
applications, focusing mainly on the following topics: 3D printing
technologies; naked, dynamic and auxiliary 3D displays; VR/AR/MR
devices; VR camera technologies; microprocessors for 3D data
processing; advanced 3D computing systems; 3D data-storage
technologies; 3D data networks and technologies; 3D data
intelligent processing; 3D data cryptography and security; 3D
visual quality estimation and measurement; and 3D decision support
and information systems.
Like electricity and water, data and computing power are necessary
commodities in the modern-day economy. A model for the effective
regulation and provisioning of computational services will follow a
similar paradigm as the existent model for traditional utilities.
Emerging Research Surrounding Power Consumption and Performance
Issues in Utility Computing explores methods of treating computing
resources and materials as a standard utility, charging customers
based on their usage and promoting competition among service
providers. Including both benefits and hindrances, as well as
theoretical concepts and practical considerations, this book
provides an in-depth discussion of the utility computing paradigm
for computer engineers, service providers, consumers, and academics
in the field of computer science. This book includes emerging
research on subjects including, but not limited to, Graphical
Processing Unit (GPU) architectures, green computing, VMware, and
device manufacturing techniques.
This book discusses the development of promising technologies for
compact antennas for high data-rate communications. It discusses
and analyzes the design of compact ultra-wideband (UWB) and
multiple input, multiple output (MIMO) antennas, providing
essential know-how for designers, practicing engineers and
scientists. These wireless communication technologies enable
consumers to have convenient access to a wide range of services -
anytime, anywhere. And the introduction of wireless mobile access
points eliminates the limitations to communication imposed by
geographical location. The Internet has allowed people to access
and share information much more rapidly, but in order to achieve
higher data rates with the limited available resources and imposed
constraints, wireless communication technology needs to be pushed
beyond the physical limits of the propagation channel. This book
contributes to achieving this goal.
This book gathers selected high-quality papers presented at the
International Conference on Machine Learning and Computational
Intelligence (ICMLCI-2019), jointly organized by Kunming University
of Science and Technology and the Interscience Research Network,
Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually
all aspects of intelligent systems, soft computing and machine
learning, the topics covered include: prediction; data mining;
information retrieval; game playing; robotics; learning methods;
pattern visualization; automated knowledge acquisition; fuzzy,
stochastic and probabilistic computing; neural computing; big data;
social networks and applications of soft computing in various
areas.
The Soft Computing techniques, which are based on the
information processing of biological systems are now massively used
in the area of pattern recognition, making prediction &
planning, as well as acting on the environment. Ideally speaking,
soft computing is not a subject of homogeneous concepts and
techniques; rather, it is an amalgamation of distinct methods that
confirms to its guiding principle. At present, the main aim of soft
computing is to exploit the tolerance for imprecision and
uncertainty to achieve tractability, robustness and low solutions
cost. The principal constituents of soft computing techniques are
probabilistic reasoning, fuzzy logic, neuro-computing, genetic
algorithms, belief networks, chaotic systems, as well as learning
theory. This book covers contributions from various authors to
demonstrate the use of soft computing techniques in various
applications of engineering.
This proceedings volume highlights important points of achieving a
balanced and sustained growth path from diverse economics and
finance perspectives, touching on a wide array of economic and
social analyses in India. Featuring contributions presented at the
2018 International Conference on Economics and Finance (ICEF-2018)
held at the Birla Institute of Technology and Science, Pilani, Goa,
India, the enclosed papers explore topics such as inflation
dynamics, information transmission in post-recession era, leverage
effect and volatility asymmetry, structural change and economic
growth and reforming tax systems, among others. The Indian economy
today is remarkable and, not surprisingly, it is growing very
rapidly. It has emerged as the fastest growing major economy in the
world as per the Central Statistical Organization (CSO) and
International Monetary Fund (IMF) and it is expected to be one of
the top three economic powers of the world over the next 10 to15
years, backed by its strong democracy and partnership. At the
backdrop of impressive progress of the Indian economy during the
last two decades, the question that remains to be answered is does
India still have a long way to go before it is functioning well as
a market economy? This book critically examines the performance of
the Indian economy at the national, state and sectorial levels.
Featuring contributions from leading academicians, scholars and
practitioners from Asia and the rest of the world, this book is an
asset to students, professors, scholars, practitioners and policy
makers in the areas of India economics, finance and sustainable
development.
This book analyzes the underlying theoretical principles of
multi-objective linear programming problems with multi-choice
parameters. It studies transportation problems on the same domain
with extension to fuzzy stochastic criteria, and offers insights
into sensitivity analysis through symmetric duality and
complementarity using non-convex programming. These analytical
presentations provide ample scope for researchers to contemplate
real-world problems with an innovative vision. The formulation,
analysis and solution procedures on inventory control models in the
book use both deterministic and fuzzy parameters, and provide novel
optimal inventory policies. The book discusses a wide range of
optimal operational techniques for policy makers, government and
private agencies in the fields of e-governance and agricultural
crop insurance, which are crucial for developing countries. The
recommendations address the gaps and remedies in various schemes
that influence decision-making in the context of the economic
development of such countries.
This book offers a timely review of cutting-edge applications of
computational intelligence to business management and financial
analysis. It covers a wide range of intelligent and optimization
techniques, reporting in detail on their application to real-world
problems relating to portfolio management and demand forecasting,
decision making, knowledge acquisition, and supply chain scheduling
and management.
This edited volume is brought out from the contributions of the
research papers presented in the International Conference on Data
Science and Business Analytics (ICDSBA- 2017), which was held
during September 23-25 2017 in ChangSha, China. As we all know, the
field of data science and business analytics is emerging at the
intersection of the fields of mathematics, statistics, operations
research, information systems, computer science and engineering.
Data science and business analytics is an interdisciplinary field
about processes and systems to extract knowledge or insights from
data. Data science and business analytics employ techniques and
theories drawn from many fields including signal processing,
probability models, machine learning, statistical learning, data
mining, database, data engineering, pattern recognition,
visualization, descriptive analytics, predictive analytics,
prescriptive analytics, uncertainty modeling, big data, data
warehousing, data compression, computer programming, business
intelligence, computational intelligence, and high performance
computing among others. The volume contains 55 contributions from
diverse areas of Data Science and Business Analytics, which has
been categorized into five sections, namely: i) Marketing and
Supply Chain Analytics; ii) Logistics and Operations Analytics;
iii) Financial Analytics. iv) Predictive Modeling and Data
Analytics; v) Communications and Information Systems Analytics. The
readers shall not only receive the theoretical knowledge about this
upcoming area but also cutting edge applications of this domains.
The authors have consolidated their research work in this volume
titled Soft Computing for Data Mining Applications. The monograph
gives an insight into the research in the ?elds of Data Mining in
combination with Soft Computing methodologies. In these days, the
data continues to grow - ponentially. Much of the data is
implicitly or explicitly imprecise. Database discovery seeks to
discover noteworthy, unrecognized associations between the data
items in the existing database. The potential of discovery comes
from the realization that alternate contexts may reveal additional
valuable information. The rate at which the data is storedis
growing at a phenomenal rate. Asaresult,
traditionaladhocmixturesofstatisticaltechniquesanddata
managementtools are no longer adequate for analyzing this vast
collection of data.
Severaldomainswherelargevolumesofdataarestoredincentralizedor
distributeddatabasesincludesapplicationslikeinelectroniccommerce,
bio- formatics, computer security, Web intelligence, intelligent
learning database systems, ?nance, marketing, healthcare,
telecommunications, andother?elds. E?cient tools and algorithms for
knowledge discovery in large data sets have been devised during the
recent years. These methods exploit the ca- bility of computers to
search huge amounts of data in a fast and e?ective manner. However,
the data to be analyzed is imprecise and a?icted with - certainty.
In the case of heterogeneous data sources such as text and video,
the data might moreover be ambiguous and partly con?icting.
Besides, p- terns and relationships of interest are usually
approximate. Thus, in order to make the information mining process
more robust it requires tolerance toward imprecision, uncertainty
and exc
This book presents the proceedings of International Conference on
Emerging Research in Computing, Information, Communication and
Applications, ERCICA 2016. ERCICA provides an interdisciplinary
forum for researchers, professional engineers and scientists,
educators, and technologists to discuss, debate and promote
research and technology in the upcoming areas of computing,
information, communication and their applications. The book
discusses these emerging research areas, providing a valuable
resource for researchers and practicing engineers alike.
"Globally, emergency services are witnessing a period of
unprecedented uncertainty and change caused by pressure on their
budgets, reduced manpower and changing patterns of demand and
service delivery. Such challenges are also having huge implications
on the workforce health and wellbeing. This book is a timely,
well-researched addition to improve our understanding of the
governance and collaboration issues in the emergency
services."Steve McGuirk, Chairman, Warrington and Halton Hospitals
Trust, Former Chief Fire Officer and CEO, Greater Manchester Fire
and Rescue Service "Good governance, collaboration and sound
leadership are easy qualities to take for granted in the Emergency
Services. However, given the increasing complexity of the
challenging political and operational environments these
organisations work in, it is not reasonable to assume these
qualities will always emerge as a natural phenomenon. This book is
a welcome addition that provides invaluable, evidence-based
insights for leaders who are seeking to raise the quality of their
services for both the public and their workforce alike."Andy
Newton, Immediate Past Chair, College of Paramedics and Former
Paramedic Director, South East Coast Ambulance Service NHS Trust
(SECAmb) This unique text provides fresh insights and understanding
of the governance and collaboration issues between emergency
services in a dynamic policy and organisational environment in a
global world. The book offers critical insights into the theory and
rationale behind the interoperability and collaboration between the
emergency services and examines in detail, important themes around
trust, leadership, workforce wellbeing and resilience and
professional culture(s), each having great significance for the
success of the interoperability and governance agenda. The chapters
cover new materials, including the research conducted by the
authors and are written in a style that is easily accessible. This
book caters to a wide audience of researchers, academics, students,
emergency services staff, leaders and public managers, both in the
UK and internationally.
The development of nature-inspired computational techniques has
enhanced problem solving in dynamic and uncertain environments. By
implementing effective computing strategies, this ensures
adaptable, self-organizing, and decentralized behavioral
techniques. Recent Developments in Intelligent Nature-Inspired
Computing is an authoritative reference source for the latest
scholarly material on natural computation methods and applications
in diverse fields. Highlighting multidisciplinary studies on swarm
intelligence, global optimization, and group technology, this
publication is an ideal reference source for professionals,
researchers, scholars, and engineers interested in the latest
developments in computer science methodologies.
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