A Beginner s Guide to Data Agglomeration and Intelligent Sensing Book

A Beginner s Guide to Data Agglomeration and Intelligent Sensing


  • Author : Amartya Mukherjee
  • Publisher : Academic Press
  • Release Date : 2020-03-02
  • Genre: Science
  • Pages : 198
  • ISBN 10 : 9780128203415

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A Beginner s Guide to Data Agglomeration and Intelligent Sensing Excerpt :

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

The Convergence of Internet of Things and Cloud for Smart Computing Book

The Convergence of Internet of Things and Cloud for Smart Computing


  • Author : Parikshit N. Mahalle
  • Publisher : CRC Press
  • Release Date : 2021-08-03
  • Genre: Technology & Engineering
  • Pages : 138
  • ISBN 10 : 9781000417814

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The Convergence of Internet of Things and Cloud for Smart Computing Excerpt :

This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT–Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth. Features: • Covers IoT cloud convergence with a focus on complex industrial IoT case studies. • Discusses the broad background of IoT–Cloud convergence architectures and its fundamentals along with resource provisioning mechanisms. • Emphasizes the use of context in developing context-aware IoT solutions. • Presents a novel C-model that explains the IoT application development phases. • Discusses a simplified convergence model that depicts the role of Cloud in an IoT application. This book aims at graduate students, researchers, and professionals getting started in the IoT field.

Biomedical Sensors and Smart Sensing Book

Biomedical Sensors and Smart Sensing


  • Author : Ayan Kumar Panja
  • Publisher : Academic Press
  • Release Date : 2022-06-14
  • Genre: Technology & Engineering
  • Pages : 166
  • ISBN 10 : 9780128230732

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Biomedical Sensors and Smart Sensing Excerpt :

Biomedical Sensors and Smart Sensing: A Beginner’s Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisciplinary applications in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The series explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery and medical applications. Volumes in this series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of these technologies in real-world situations. In addition, the 10-volume series considers various medical devices, electronics, circuits, sensors and algorithms. Several applications ranging from basic biological science to clinical practice are included to facilitate ongoing research. Covers a variety of sensing and signal processing techniques Introduces different approaches relating to communication and intelligent data processing for early detection and prediction of diseases Includes practical case studies

A Beginner s Guide to Data Agglomeration and Intelligent Sensing Book

A Beginner s Guide to Data Agglomeration and Intelligent Sensing


  • Author : Amartya Mukherjee
  • Publisher : Academic Press
  • Release Date : 2020-02-19
  • Genre: Science
  • Pages : 198
  • ISBN 10 : 9780128203453

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A Beginner s Guide to Data Agglomeration and Intelligent Sensing Excerpt :

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensing Discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning

The Data Science Design Manual Book

The Data Science Design Manual


  • Author : Steven S. Skiena
  • Publisher : Springer
  • Release Date : 2017-07-01
  • Genre: Computers
  • Pages : 445
  • ISBN 10 : 9783319554440

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The Data Science Design Manual Excerpt :

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)

The Data Industry Book

The Data Industry


  • Author : Chunlei Tang
  • Publisher : John Wiley & Sons
  • Release Date : 2016-06-13
  • Genre: Mathematics
  • Pages : 216
  • ISBN 10 : 9781119138402

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The Data Industry Excerpt :

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Automated Machine Learning Book

Automated Machine Learning


  • Author : Frank Hutter
  • Publisher : Springer
  • Release Date : 2019-05-17
  • Genre: Computers
  • Pages : 219
  • ISBN 10 : 9783030053185

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Automated Machine Learning Excerpt :

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Recent Advances in Technology Research and Education Book

Recent Advances in Technology Research and Education


  • Author : Dumitru Luca
  • Publisher : Springer
  • Release Date : 2017-09-08
  • Genre: Technology & Engineering
  • Pages : 352
  • ISBN 10 : 9783319674599

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Recent Advances in Technology Research and Education Excerpt :

This book presents selected contributions to the 16th International Conference on Global Research and Education Inter-Academia 2017 hosted by Alexandru Ioan Cuza University of Iași, Romania from 25 to 28 September 2017. It is the third volume in the series, following the editions from 2015 and 2016. Fundamental and applied research in natural sciences have led to crucial developments in the ongoing 4th global industrial revolution, in the course of which information technology has become deeply embedded in industrial management, research and innovation – and just as deeply in education and everyday life. Materials science and nanotechnology, plasma and solid state physics, photonics, electrical and electronic engineering, robotics and metrology, signal processing, e-learning, intelligent and soft computing have long since been central research priorities for the Inter-Academia Community (I-AC) – a body comprising 14 universities and research institutes from Japan and Central/East-European countries that agreed, in 2002, to coordinate their research and education programs so as to better address today’s challenges. The book is intended for use in academic, government, and industrial R&D departments as a reference tool in research and technology education. The 42 peer-reviewed papers were written by more than 119 leading scientists from 14 countries, most of them affiliated to the I-AC.

Mining the Social Web Book

Mining the Social Web


  • Author : Matthew A. Russell
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2011-01-21
  • Genre: Computers
  • Pages : 332
  • ISBN 10 : 9781449388348

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Mining the Social Web Excerpt :

Provides information on data analysis from a vareity of social networking sites, including Facebook, Twitter, and LinkedIn.

Perspectives and Trends in Education and Technology Book

Perspectives and Trends in Education and Technology


  • Author : Anabela Mesquita
  • Publisher : Springer Nature
  • Release Date : 2021-11-17
  • Genre: Technology & Engineering
  • Pages : 1030
  • ISBN 10 : 9789811650635

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Perspectives and Trends in Education and Technology Excerpt :

This book presents high-quality, peer-reviewed papers from the International Conference in Information Technology & Education (ICITED 2021), to be held at the ESPM – Higher School of Advertising and Marketing, Sao Paulo, Brazil, between the 15th and the 17th of July 2021. The book covers a specific field of knowledge. This intends to cover not only two fields of knowledge – Education and Technology – but also the interaction among them and the impact/result in the job market and organizations. It covers the research and pedagogic component of Education and Information Technologies but also the connection with society, addressing the three pillars of higher education. The book addresses impact of pandemic on education and use of technology in education. Finally, it also encourages companies to present their professional cases which is discussed. These can constitute real examples of how companies are overcoming their challenges with the uncertainty of the market.

Fuzzy Set Theory     and Its Applications Book

Fuzzy Set Theory and Its Applications


  • Author : Hans-Jürgen Zimmermann
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-01
  • Genre: Business & Economics
  • Pages : 363
  • ISBN 10 : 9789401571531

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Fuzzy Set Theory and Its Applications Excerpt :

Intelligent Cities and Globalisation of Innovation Networks Book

Intelligent Cities and Globalisation of Innovation Networks


  • Author : Nicos Komninos
  • Publisher : Routledge
  • Release Date : 2008-07-17
  • Genre: Business & Economics
  • Pages : 320
  • ISBN 10 : 9781134049813

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Intelligent Cities and Globalisation of Innovation Networks Excerpt :

Intelligent Cities and Globalisation of Innovation Networks combines concepts and theories from the fields of urban development and planning, innovation management, and virtual / intelligent environments. It explains the rise of intelligent cities with respect to the globalisation of systems of innovation; opens up a new way for making intelligent environments via the connection of human skills, institutional mechanisms, and digital spaces operating within a community; and describes a series of platforms and tools for the making of intelligent cities.

Recent Trends in Manufacturing and Materials Towards Industry 4 0 Book

Recent Trends in Manufacturing and Materials Towards Industry 4 0


  • Author : Muhammed Nafis Osman Zahid
  • Publisher : Springer Nature
  • Release Date : 2021-03-22
  • Genre: Technology & Engineering
  • Pages : 1025
  • ISBN 10 : 9789811595059

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Recent Trends in Manufacturing and Materials Towards Industry 4 0 Excerpt :

This book presents part of the proceedings of the Manufacturing and Materials track of the iM3F 2020 conference held in Malaysia. This collection of articles deliberates on the key challenges and trends related to manufacturing as well as materials engineering and technology in setting the stage for the world in embracing the fourth industrial revolution. It presents recent findings with regards to manufacturing and materials that are pertinent towards the realizations and ultimately the embodiment of Industry 4.0, with contributions from both industry and academia.

Smart Infrastructure and Applications Book

Smart Infrastructure and Applications


  • Author : Rashid Mehmood
  • Publisher : Springer
  • Release Date : 2020-08-15
  • Genre: Technology & Engineering
  • Pages : 665
  • ISBN 10 : 3030137074

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Smart Infrastructure and Applications Excerpt :

This book provides a multidisciplinary view of smart infrastructure through a range of diverse introductory and advanced topics. The book features an array of subjects that include: smart cities and infrastructure, e-healthcare, emergency and disaster management, Internet of Vehicles, supply chain management, eGovernance, and high performance computing. The book is divided into five parts: Smart Transportation, Smart Healthcare, Miscellaneous Applications, Big Data and High Performance Computing, and Internet of Things (IoT). Contributions are from academics, researchers, and industry professionals around the world. Features a broad mix of topics related to smart infrastructure and smart applications, particularly high performance computing, big data, and artificial intelligence; Includes a strong emphasis on methodological aspects of infrastructure, technology and application development; Presents a substantial overview of research and development on key economic sectors including healthcare and transportation.

Secondary Analysis of Electronic Health Records Book

Secondary Analysis of Electronic Health Records


  • Author : MIT Critical Data
  • Publisher : Springer
  • Release Date : 2016-09-09
  • Genre: Medical
  • Pages : 427
  • ISBN 10 : 9783319437422

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Secondary Analysis of Electronic Health Records Excerpt :

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.