Real Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Produk Detail:

  • Author : Himansu Das
  • Publisher : Academic Press
  • Pages : 298 pages
  • ISBN : 0128182423
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKReal Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data
  • Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 31 August 2019
GET THIS BOOKReal-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods

Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data
  • Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 01 September 2019
GET THIS BOOKReal-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
  • Author : Ashish Kumar Luhach,Atilla Elçi
  • Publisher : Engineering Science Reference
  • Release : 13 November 2020
GET THIS BOOKArtificial Intelligence Paradigms for Smart Cyber-Physical Systems

"This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems"--

Handbook of Large-Scale Distributed Computing in Smart Healthcare

Handbook of Large-Scale Distributed Computing in Smart Healthcare
  • Author : Samee U. Khan,Albert Y. Zomaya,Assad Abbas
  • Publisher : Springer
  • Release : 03 September 2017
GET THIS BOOKHandbook of Large-Scale Distributed Computing in Smart Healthcare

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working

Maritime Technology and Engineering III

Maritime Technology and Engineering III
  • Author : Carlos Guedes Soares,T.A. Santos
  • Publisher : CRC Press
  • Release : 01 December 2016
GET THIS BOOKMaritime Technology and Engineering III

Maritime Technology and Engineering 3 is a collection of papers presented at the 3rd International Conference on Maritime Technology and Engineering (MARTECH 2016, Lisbon, Portugal, 4-6 July 2016). The MARTECH Conferences series evolved from biannual national conferences in Portugal, thus reflecting the internationalization of the maritime sector. The keynote lectures and the papers, making up nearly 150 contributions, came from an international group of authors focused on different subjects in a variety of fields: Maritime Transportation, Energy Efficiency, Ships in Ports, Ship Hydrodynamics, Ship

Knowledge Discovery from Sensor Data

Knowledge Discovery from Sensor Data
  • Author : Mohamed Medhat Gaber,Ranga Raju Vatsavai,Nitesh V. Chawla,Olufemi A. Omitaomu,João Gama,Auroop R. Ganguly
  • Publisher : Springer Science & Business Media
  • Release : 14 April 2010
GET THIS BOOKKnowledge Discovery from Sensor Data

This book contains thoroughly refereed extended papers from the Second International Workshop on Knowledge Discovery from Sensor Data, Sensor-KDD 2008, held in Las Vegas, NV, USA, in August 2008. The 12 revised papers presented together with an invited paper were carefully reviewed and selected from numerous submissions. The papers feature important aspects of knowledge discovery from sensor data, e.g., data mining for diagnostic debugging; incremental histogram distribution for change detection; situation-aware adaptive visualization; WiFi mining; mobile sensor data mining; incremental anomaly detection;

Geographic Information Science

Geographic Information Science
  • Author : Thomas J. Cova,Harvey J. Miller,Kate Beard,Andrew U. Frank,Michael Goodchild
  • Publisher : Springer Science & Business Media
  • Release : 08 September 2008
GET THIS BOOKGeographic Information Science

This book constitutes the refereed proceedings of the 5th International Conference on Geographic Information Secience, GIScience 2008, held in Park City, UT, USA, in September 2008. The 24 revised full papers presented were carefully reviewed and selected from 77 submissions. Among the traditional topics addressed are spatial relations, geographic dynamics, and spatial data types. A significant number of papers deal with navigation networks, location-based services, and spatial information query and retrieval. Geo-sensors, mobile computing, and Web mapping rank among the important new directions.

World Forum on Smart Materials and Smart Structures Technology

World Forum on Smart Materials and Smart Structures Technology
  • Author : B.F. Spencer Jr.,M. Tomizuka,C.B. Yun,W.M. Chen,R.W. Chen
  • Publisher : CRC Press
  • Release : 23 June 2008
GET THIS BOOKWorld Forum on Smart Materials and Smart Structures Technology

This collection of almost 300 articles provides the critical knowledge and technological bases required for meeting one of the ultimate engineering challenges: the design and construction of smart structures and systems. It meets that trend that research in smart materials and structures seeks to apply multifunctional capabilities. Contributions deal with the use of new and existing materials to develop structures and systems that are capable of self-sensing, self-diagnosing, self-healing. Moreover such systems should be able to give adaptive responses to prevent

Run Grow Transform

Run Grow Transform
  • Author : Steven Bell
  • Publisher : CRC Press
  • Release : 27 July 2017
GET THIS BOOKRun Grow Transform

Your customers want innovation and value, and they want it now. How can you apply Lean principles and practices throughout your enterprise to drive operational excellence, reduce costs while improving quality, enable efficient growth, and accelerate idea-to-value innovation? Shingo Prize-winning author Steve Bell and other thought leaders show you

Encyclopedia of Business Analytics and Optimization

Encyclopedia of Business Analytics and Optimization
  • Author : Wang, John
  • Publisher : IGI Global
  • Release : 28 February 2014
GET THIS BOOKEncyclopedia of Business Analytics and Optimization

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be

Transactions on Large-Scale Data- and Knowledge-Centered Systems XX

Transactions on Large-Scale Data- and Knowledge-Centered Systems XX
  • Author : Abdelkader Hameurlain,Josef Küng,Roland Wagner,Sherif Sakr,Lizhe Wang,Albert Zomaya
  • Publisher : Springer
  • Release : 17 March 2015
GET THIS BOOKTransactions on Large-Scale Data- and Knowledge-Centered Systems XX

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing

Internet of Things Based on Smart Objects

Internet of Things Based on Smart Objects
  • Author : Giancarlo Fortino,Paolo Trunfio
  • Publisher : Springer Science & Business Media
  • Release : 04 April 2014
GET THIS BOOKInternet of Things Based on Smart Objects

The Internet of Things (IoT) usually refers to a world-wide network of interconnected heterogeneous objects (sensors, actuators, smart devices, smart objects, RFID, embedded computers, etc) uniquely addressable, based on standard communication protocols. Beyond such a definition, it is emerging a new definition of IoT seen as a loosely coupled, decentralized system of cooperating smart objects (SOs). A SO is an autonomous, physical digital object augmented with sensing/actuating, processing, storing, and networking capabilities. SOs are able to sense/actuate, store,

Cloud Computing for Data-Intensive Applications

Cloud Computing for Data-Intensive Applications
  • Author : Xiaolin Li,Judy Qiu
  • Publisher : Springer
  • Release : 02 December 2014
GET THIS BOOKCloud Computing for Data-Intensive Applications

This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies.

CLEANER and NSF's Environmental Observatories

CLEANER and NSF's Environmental Observatories
  • Author : National Research Council,Division on Earth and Life Studies,Water Science and Technology Board,Committee on the Collaborative Large-scale Engineering Analysis Network for Environmental Research (CLEANER)
  • Publisher : National Academies Press
  • Release : 19 August 2006
GET THIS BOOKCLEANER and NSF's Environmental Observatories

Degradation of the nation's water resources threatens the health of humans and the functioning of natural ecosystems. To help better understand the causes of these adverse impacts and how they might be more effectively mitigated, especially in urban and human-stressed aquatic systems, the National Science Foundation (NSF) has proposed the establishment of a Collaborative Large-scale Engineering Analysis Network for Environmental Research (CLEANER). This program would provide a platform for near-real-time and conventional data collection and analysis; improve understanding and prediction