A Beginner S Guide To Data Agglomeration And Intelligent Sensing

Author : Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey
Publisher : Academic Press
Page : 198 pages
File Size : 52,9 Mb
Release : 2020-03-02
Category : Science
ISBN : 9780128203415

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A Beginner's Guide to Data Agglomeration and Intelligent Sensing by Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey Pdf

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

Author : Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey
Publisher : Academic Press
Page : 198 pages
File Size : 51,9 Mb
Release : 2020-02-19
Category : Science
ISBN : 9780128203453

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A Beginner's Guide to Data Agglomeration and Intelligent Sensing by Amartya Mukherjee,Ayan Kumar Panja,Nilanjan Dey Pdf

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

Author : Lakhveer Singh,Durga Madhab Mahapatra,Smita S. Kumar
Publisher : Academic Press
Page : 280 pages
File Size : 47,7 Mb
Release : 2022-11-08
Category : Science
ISBN : 9780323998093

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Multifaceted Bio-sensing Technology by Lakhveer Singh,Durga Madhab Mahapatra,Smita S. Kumar Pdf

Multifaceted Bio-sensing Technology introduces the different types of biosensors, their construction materials, configurations, production methods, and their uses in bioelectrochemical fuel cells (BEFC). It focuses on recent progress in the production of biosensing platforms/interfaces, their integration, design and fabrication, and their multifaceted applications in bioelectrochemical systems. The chapters explore the integration of genetic elements such as DNA, enzymes, and whole cells within these systems, and address environmental applications including wastewater contaminant detection, toxicity, and bioremediation. Throughout, the book shows how rapid, minuscule, and affordable biocomponents can be produced for a variety of energy and environmental applications. This book provides a practical introduction to the production of biocomponents for bioelectrochemical devices and environmental monitoring, and will be a useful reference for graduates and researchers involved in the application of bioelectrochemical systems, as well as those working more broadly in bioenergy, electrochemistry, biology, environmental engineering, and multidisciplinary research across those areas. Examines the applications of biosensors in bioelectrochemical fuel cells and other fields and their integration and assembly for future uses Explores on the application of carbon nanomaterials in biosensors Presents detailed schematics and calculations that outline integrations in bioelectrochemical systems

Author : Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande
Publisher : CRC Press
Page : 146 pages
File Size : 41,5 Mb
Release : 2021-08-03
Category : Technology & Engineering
ISBN : 9781000417838

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The Convergence of Internet of Things and Cloud for Smart Computing by Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande Pdf

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.

Author : Fei Hu,Qi Hao
Publisher : CRC Press
Page : 676 pages
File Size : 54,7 Mb
Release : 2012-12-15
Category : Technology & Engineering
ISBN : 9781439892817

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Intelligent Sensor Networks by Fei Hu,Qi Hao Pdf

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Author : Umang Singh,Ajith Abraham,Arturas Kaklauskas,Tzung-Pei Hong
Publisher : Springer Nature
Page : 233 pages
File Size : 40,8 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9783030772147

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Smart Sensor Networks by Umang Singh,Ajith Abraham,Arturas Kaklauskas,Tzung-Pei Hong Pdf

This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.

Author : Enamul Haque
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 2023-01-06
Category : Electronic
ISBN : 1447826558

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A Beginner's Guide To DATA SCIENCE by Enamul Haque Pdf

This book is designed for aspiring data scientists who want to start their careers in data science, even if they don't have coding skills. It provides a comprehensive introduction to the foundations of data science and its applications, using simple language that is easy for beginners to understand. No technical expertise is required to master the material in this book. It is an ideal resource for anyone looking to learn about data science in an accessible and straightforward way. Key features include: Introduction to data science History of data science Data science life-cycle Data science tools and technologies Data science methodology Data science models Developing data science business strategy Managing data science projects Becoming a data scientist, data engineer etc. Big data Data Mining Artificial intelligence Machine learning Deep learning Neural networks Mathematical analysis Statistical modelling Understanding the fundamentals of data science programming languages Database structures and principles Robotic Process Automation Data science acronyms You need to know And a lot more.

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 46,5 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Author : Steven S. Skiena
Publisher : Springer
Page : 445 pages
File Size : 47,8 Mb
Release : 2017-07-01
Category : Computers
ISBN : 9783319554440

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The Data Science Design Manual by Steven S. Skiena Pdf

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)

Author : Pradeep Kumar Singh,Bharat K. Bhargava,Marcin Paprzycki,Narottam Chand Kaushal,Wei-Chiang Hong
Publisher : Springer Nature
Page : 722 pages
File Size : 49,9 Mb
Release : 2020-02-08
Category : Technology & Engineering
ISBN : 9783030403058

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Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's by Pradeep Kumar Singh,Bharat K. Bhargava,Marcin Paprzycki,Narottam Chand Kaushal,Wei-Chiang Hong Pdf

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.

Author : Vijayan Sugumaran,Zheng Xu,Huiyu Zhou
Publisher : Springer Nature
Page : 815 pages
File Size : 44,5 Mb
Release : 2020-07-23
Category : Technology & Engineering
ISBN : 9783030514310

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,Zheng Xu,Huiyu Zhou Pdf

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.

Author : Rosa Ma Alsina-Pagès,Patrizia Bellucci,Giovanni Zambon
Publisher : MDPI
Page : 240 pages
File Size : 48,6 Mb
Release : 2021-01-15
Category : Technology & Engineering
ISBN : 9783039432806

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Smart Wireless Acoustic Sensor Network Design for Noise Monitoring in Smart Cities by Rosa Ma Alsina-Pagès,Patrizia Bellucci,Giovanni Zambon Pdf

The Environmental Noise Directive (END) requires that a five-year updating of noise maps is carried out to check and report on the changes that have occurred during the reference period. The updating process is usually achieved using a standardized approach consisting of collecting and processing information through acoustic models to produce the updated noise maps. This procedure is time consuming and costly, and has a significant impact on the financial statement of the authorities responsible for providing the maps. Furthermore, the END requires that easy-to-read noise maps are made available to the public to provide information on noise levels and the subsequent actions to be undertaken by local and central authorities to reduce noise impacts. In order to update the noise maps more easily and in a more effective way, it is convenient to design an integrated system incorporating real-time noise measurement and signal processing to identify and analyze the noise sources present in the mapping area (e.g., road traffic noise, leisure noise, etc.) as well as to automatically generate and present the corresponding noise maps. This wireless acoustic sensor network design requires transversal knowledge, from accurate hardware design for acoustic sensors to network structure design and management of the information with signal processing to identify the origin of the measured noise and graphical user interface application design to present the results to end users. This book is collection in which several views of methodology and technologies required for the development of an efficient wireless acoustic sensor network from the first stages of its design to the tests conducted during deployment, its final performance, and possible subsequent implications for authorities in terms of the definition of policies. Contributions include several LIFE and H2020 projects aimed at the design and implementation of intelligent acoustic sensor networks with a focus on the publication of good practices for the design and deployment of intelligent networks in other locations.

Author : Anonim
Publisher : Unknown
Page : 438 pages
File Size : 49,9 Mb
Release : 1985
Category : Artificial intelligence
ISBN : UOM:39015023292447

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Artificial Intelligence Abstracts by Anonim Pdf

Author : Guang-Zhong Yang
Publisher : Springer
Page : 572 pages
File Size : 48,5 Mb
Release : 2014-04-16
Category : Computers
ISBN : 9781447163749

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Body Sensor Networks by Guang-Zhong Yang Pdf

The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.

Author : Frank Hutter,Lars Kotthoff,Joaquin Vanschoren
Publisher : Springer
Page : 223 pages
File Size : 55,6 Mb
Release : 2019-05-17
Category : Computers
ISBN : 9783030053185

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Automated Machine Learning by Frank Hutter,Lars Kotthoff,Joaquin Vanschoren Pdf

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.