|
Showing 1 - 6 of
6 matches in All Departments
This book addresses the emerging area of cloud computing, providing
a comprehensive overview of the research areas, recent work and
open research problems. The move to cloud computing is no longer
merely a topic of discussion; it has become a core competency that
every modern business needs to embrace and excel at. It has changed
the way enterprise and internet computing is viewed, and this
success story is the result of the long-term efforts of computing
research community around the globe. It is predicted that by 2026
more than two-thirds of all enterprises across the globe will be
entirely run in cloud. These predictions have led to huge levels of
funding for research and development in cloud computing and related
technologies. Accordingly, universities across the globe have
incorporated cloud computing and its related technologies in their
curriculum, and information technology (IT) organizations are
accelerating their skill-set evolution in order to be better
prepared to manage emerging technologies and public expectations of
the cloud, such as new services.
This book aims to address emerging challenges in the field of
agriculture and natural resource management using the principles
and applications of data science (DS). The book is organized in
three sections, and it has fourteen chapters dealing with
specialized areas. The chapters are written by experts sharing
their experiences very lucidly through case studies, suitable
illustrations and tables. The contents have been designed to fulfil
the needs of geospatial, data science, agricultural, natural
resources and environmental sciences of traditional universities,
agricultural universities, technological universities, research
institutes and academic colleges worldwide. It will help the
planners, policymakers and extension scientists in planning and
sustainable management of agriculture and natural resources. The
authors believe that with its uniqueness the book is one of the
important efforts in the contemporary cyber-physical systems.
|
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings (Paperback, 1st ed. 2019)
Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
|
R1,614
Discovery Miles 16 140
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 7th
International Conference on Big Data analytics, BDA 2019, held in
Ahmedabad, India, in December 2019.The 25 papers presented in this
volume were carefully reviewed and selected from 53 submissions.
The papers are organized in topical sections named: big data
analytics: vision and perspectives; search and information
extraction; predictive analytics in medical and agricultural
domains; graph analytics; pattern mining; and machine learning.
This book aims to address emerging challenges in the field of
agriculture and natural resource management using the principles
and applications of data science (DS). The book is organized in
three sections, and it has fourteen chapters dealing with
specialized areas. The chapters are written by experts sharing
their experiences very lucidly through case studies, suitable
illustrations and tables. The contents have been designed to fulfil
the needs of geospatial, data science, agricultural, natural
resources and environmental sciences of traditional universities,
agricultural universities, technological universities, research
institutes and academic colleges worldwide. It will help the
planners, policymakers and extension scientists in planning and
sustainable management of agriculture and natural resources. The
authors believe that with its uniqueness the book is one of the
important efforts in the contemporary cyber-physical systems.
With the development in internet applications and multimedia
technology, users are accustomed to high-speed broadband at home
and work and demand similar services even in nomadic or mobile
environment. Mobile WiMAX provides broadband wireless access with
mobility, large coverage and security. WiMAX physical layer is
based on Orthogonal Frequency Division Multiplexing which mitigates
multipath and eliminate intersymbol interference with the help of
cyclic prefix. Scalable OFDMA on its physical layer allows data
rate to scale with available channel bandwidth. WiMAX supports a
number of modulation (BPSK, QPSK, 16-QAM & 64-QAM) and forward
error correction coding scheme and can operate in both line of
sight and non-line of sight environments. In this book, the
performance of physical layer of mobile WiMAX is evaluated at
different modulation schemes, coding rate, FEC coding schemes and
noise levels with models of multipath fading channel based on the
specification of IEEE Std. 802.16-2009. Scatter plots and SNR vs
BER plot are obtained as performance analyzer. GUI tool is
developed in MATLAB for simulation which can be useful for research
scholar to simulate physical layer of WiMAX
|
You may like...
Barbie
Margot Robbie, Ryan Gosling
Blu-ray disc
R266
Discovery Miles 2 660
|