Spatio Temporal Data Analysis For Dynamic Phenomenon Monitoring Using Mobile Sensors
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Spatio Temporal Data Analysis For Dynamic Phenomenon Monitoring Using Mobile Sensors
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Author : Ichrak Mokhtari
language : en
Publisher:
Release Date : 2023
Spatio Temporal Data Analysis For Dynamic Phenomenon Monitoring Using Mobile Sensors written by Ichrak Mokhtari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Monitoring air pollution plumes in emergency situations (industrial accidents, natural disasters, deliberate terrorist releases, etc.) becomes an issue of utmost importance in cities worldwide, given the dramatic effects that the released pollutants can cause. In these situations, the pollution plume is strongly dynamic leading to a fast dispersion of pollutants in the atmosphere. Thus, the need for a real-time response is very strong and a solution to get a precise mapping of pollution dispersion is needed to mitigate risks. Failure to do so could result in devastating consequences, underscoring the importance of air pollution monitoring in emergency scenarios. Nonetheless, achieving accurate mapping of pollution dispersion in real-time remains a challenging task, requiring innovative solutions to help authorities make informed decisions and take swift action to protect public health and the environment. In this thesis, we focus on air pollution monitoring in an emergency context using a fleet of drones, with three main areas of investigation: 1) predicting dynamic air pollution concentration in space and time; 2) optimizing the path planning of drones to improve the accuracy of pollution mapping; 3) developing and validating a generic framework for monitoring pollution plumes in emergencies. Through this work, we develop a spatio-temporal Deep Learning model for multi-point forecasting of pollution concentrations, and we built upon several uncertainty quantification techniques to make it more trustworthy. Furthermore, we examine and identify the main challenges related to the dynamic nature of the underlying phenomenon as well as its emergency context; and we suggest a new systemic approach for monitoring dynamic air pollution based on aerial sensing. The latter combines Deep Learning approaches, with Data Assimilation techniques, while relying at the same time on adequate path-planning strategies. This framework is meticulously studied and extended later to handle data paucity issues encountered in such a context through a transfer learning solution based on physics-based modeling, hence making it operational. Finally, we address meticulously the drones path planning problem with the purpose of improving the air pollution mapping quality, and we provide a Multi-Agent Reinforcement Learning solution where the impact of the number of drones as well as the simulation errors is carefully investigated. Along this thesis, all solutions were evaluated and validated with extensive experiments using real-world data sets, and some interesting engineering insights were derived.
Spatio Temporal Data Streams
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Author : Zdravko Galić
language : en
Publisher: Springer
Release Date : 2016-08-26
Spatio Temporal Data Streams written by Zdravko Galić and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Spatiotemporal Data Analytics And Modeling
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Author : John A
language : en
Publisher: Springer Nature
Release Date :
Spatiotemporal Data Analytics And Modeling written by John A and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Spatio Temporal Design
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Author : Jorge Mateu
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-05
Spatio Temporal Design written by Jorge Mateu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-05 with Mathematics categories.
A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. Spatio-temporal Design: Advances in Efficient Data Acquisition: Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data. Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration. Includes real data sets, data generating mechanisms and simulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
Geospatial Semantics
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Author : M. Andrea Rodriguez
language : en
Publisher: Springer
Release Date : 2005-11-03
Geospatial Semantics written by M. Andrea Rodriguez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-03 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on GeoSpatial Semantics, GeoS 2005, held in Mexico City, Mexico in November 2005. The 15 revised full papers presented together with 4 short papers were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on theories for the semantics of geospatial information, formal representations for geospatial data, similarity comparison of spatial data sets, ontology-based spatial information retrieval, and geospatial semantic Web.
Qualitative Spatio Temporal Representation And Reasoning Trends And Future Directions
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Author : Hazarika, Shyamanta M.
language : en
Publisher: IGI Global
Release Date : 2012-05-31
Qualitative Spatio Temporal Representation And Reasoning Trends And Future Directions written by Hazarika, Shyamanta M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-31 with Computers categories.
Space and time are inextricably linked. Reasoning about space often involves reasoning about change in spatial configurations. Qualitative spatial information theory encompasses spatial as well as temporal representation and reasoning. Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. This collection of research covers both theory and application-centric research and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning. This revolutionary new field is increasingly becoming a core issue within mobile computing, GIS/spatial information systems, databases, computer vision as well as knowledge discovery and data mining.
Dynamic And Mobile Gis
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Author : Roland Billen
language : en
Publisher: CRC Press
Release Date : 2006-11-10
Dynamic And Mobile Gis written by Roland Billen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-10 with Science categories.
With the widespread use of PDAs, wireless internet, Internet-based GIS, and 3G and 4G telecommunications, the technology supporting mobile GIS is rapidly gaining popularity and effectiveness. Dynamic and Mobile GIS: Investigating Changes in Space and Time addresses Web GIS, mobile GIS, and the modeling, processing, and representation of dynamic eve
Global Urban Monitoring And Assessment Through Earth Observation
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Author : Qihao Weng
language : en
Publisher: CRC Press
Release Date : 2014-05-23
Global Urban Monitoring And Assessment Through Earth Observation written by Qihao Weng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
Cities and towns are the original producers of many of the global environmental problems related to waste disposal, and air and water pollution. There is a rapidly growing need for technologies that will enable monitoring of the world's natural resources and urban assets, and managing exposure to natural and man-made risks. The Group on Earth Obser
Social Network Data Analytics
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-18
Social Network Data Analytics written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-18 with Computers categories.
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Multimodal And Tensor Data Analytics For Industrial Systems Improvement
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Author : Nathan Gaw
language : en
Publisher: Springer Nature
Release Date :
Multimodal And Tensor Data Analytics For Industrial Systems Improvement written by Nathan Gaw and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.