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Smart city article details
| Title | Advances In Ubiquitous Computing: Cyber-Physical Systems, Smart Cities And Ecological Monitoring |
|---|---|
| ID_Doc | 6638 |
| Authors | Neustein A. |
| Year | 2020 |
| Published | Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities and Ecological Monitoring |
| DOI | http://dx.doi.org/10.1016/C2017-0-04641-4 |
| Abstract | 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. © 2020 Elsevier Inc. All rights reserved. |
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