Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities and Ecological Monitoring debuts some of the newest methods and approaches to multimodal user-interface design, safety compliance, formal code verification and deployment requirements, as they pertain to cyber-physical systems, smart homes and smart cities, and biodiversity monitoring. In this anthology, the authors assiduously examine a panoply of topics related to wireless sensor networks. These topics include interacting with smart-home appliances and biomedical devices, designing multilingual speech recognition systems that are robust to vehicular, mechanical and other noises common to large metropolises, and an examination of new methods of speaker recognition to control for the emotion-state of the speaker, which can easily impede speaker verification over a wireless medium. This volume recognizes that any discussion of pervasive computing in smart cities must not end there, as the perilous effects of climate change proves that our lives are not circumscribed by the geographically sculpted boundaries of cities, counties, countries, or continents. Contributors address present and emerging technologies of scalable biodiversity monitoring: pest control, disease transmission, environmental monitoring, and habitat preservation. The need to collect, store, process, and interpret vast amounts of data originating from sources spread over large areas and for prolonged periods of time requires immediate data storage and processing, reliable networking, and solid communication infrastructure, along with intelligent data analysis and interpretation methods that can resolve contradictions and uncertainty in the data—all of which can be bolstered by modern advances in ubiquitous computing.
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Part I Wireless Sensor Networks and Cyber-Physical Systems - New Approaches and Methods 1. Routing Protocols for Wireless Sensor Networks: A Survey 2. Replay Attack Detection Using Excitation Source and System Features 3. Hypergraph-Based Type Theory and Requirements Engineering for Software Development in a Cyber-Physical Context 4. A New Method of Power Efficient Speech Transmission over 5G Networks Using New Signaling Techniques Part II Smart Cities, Smart Homes and Smart Communities 5. A Study Of Robust Language Identification Techniques for The Future Smart Cities 6. Natural Interaction with our Sensorized Smart Homes 7. A Study of Emotional State of a Speaker in Voice Biometrics in Building Smart Cities Part III Ecological Monitoring 8. Ubiquitous Computing and Biodiversity Monitoring 9. The use of Wireless Sensor Networks in the surveillance of endangered bird species: A Case Study
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Presents research results in ubiquitous computing for biomedical engineers, clinicians, policymakers, systems designers, emergency healthcare management agencies and researchers
Examines the history, scope and advances in ubiquitous computing, including threats to wildlife, tracking of disease, smart cities and Wireless Sensor Networks Discusses user interface design, implementation and deployment of cyber-physical systems, such as wireless sensor networks, Internet of Things devices, and other networks of physical devices that have computational capabilities and reporting devices Covers the need for improved data sharing networks
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Produktdetaljer

ISBN
9780128168011
Publisert
2020-04-08
Utgiver
Vendor
Academic Press Inc
Vekt
680 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
336

Redaktør

Biographical note

Amy Neustein, PhD is CEO and Founder of Linguistic Technology Systems, in Fort Lee, NJ (USA), a think tank for database engineering, scientific computing, and programming language theory. She is the Volume Editor of 'Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring' (Elsevier 2020) and author/editor of 15 academic books covering a wide range of topics: speech technology, natural language processing, robotics in healthcare, mobile speech, text mining, voice technologies for speech reconstruction and enhancement, signal and acoustic modeling for speech and communication disorders, acoustic analysis of pathologies in infants and children, legal jurisprudence and child health-related issues, forensic speaker recognition, and AI, IoT, Big Data, and Cloud Computing for Industry 4.0. She has authored over 75 articles/chapters/conference papers on this wide panoply of subjects. Dr. Neustein received her PhD in Sociology (with a concentration in sociolinguistics and ethnomethodology) from Boston University. She has served as Editor-in-Chief of the 'International Journal of Speech Technology' (Springer) from 2008 till present. She was featured in March 2018 in the SpringerNature “Women in STEM” joint campaign with the United Nations for women in science and technology during Women’s History Month. Dr. Neustein serves as Series Editor of 'SpringerBriefs in Speech Technology: Studies in Signal Processing, Natural Language Understanding, and Machine Learning' (Springer); Series Editor of two additional book series: 'Signals and Communication Technology' (Springer); 'Speech Technology and Text Mining in Medicine and Healthcare' (de Gruyter).