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1. |
Record Nr. |
UNINA9910703618403321 |
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Autore |
Fulford Janice M. |
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Titolo |
Laboratory and field tests of the Sutron RLR-0003-1 water level sensor / / by Janice M. Fulford and R. Scott Bryars |
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Pubbl/distr/stampa |
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Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2014 |
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Descrizione fisica |
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1 online resource (21 pages) : color illustrations |
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Collana |
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Open-file report ; ; 2014-1217 |
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Soggetti |
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Water levels - Measurement - Equipment and supplies - Testing |
Detectors - Testing |
Hydrology - Equipment and supplies |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on May 21, 2015). |
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Nota di bibliografia |
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Includes bibliographical references (page 7). |
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2. |
Record Nr. |
UNINA9910919818503321 |
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Autore |
Ardakani Saeid Pourroostaei |
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Titolo |
Digital Twin Computing for Urban Intelligence / / edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819784837 |
9789819784820 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (261 pages) |
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Collana |
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Urban Sustainability, , 2731-6491 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Environmental geography |
Artificial intelligence |
Sustainability |
Integrated Geography |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Embracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy. |
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Sommario/riassunto |
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Digital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability. This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban |
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planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning. This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are: 1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence. 2- To present the state-of-the-art DT technologies in urban planning and control. 3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence. |
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