Ict For Smart Water Systems Measurements And Data Science

Today, Information and Communication Technologies (ICT) have a pervasive presence in almost every aspect of the management of water. There is no question that the collection of big data from sensing and the insights gained by smart analytics can bring massive benefits. This book focuses on new perspectives for the monitoring, assessment and control of water systems, based on tools and concepts originating from the ICT sector. It presents a portrait of up-to-date sensing techniques for water, and introduces concepts and implications with the analysis of the acquired data. Particular attention is given to the advancements in developing novel devices and data processing approaches. The chapters guide the reader through multiple disciplinary contexts, without aiming to be exhaustive, but with the effort to present relevant topics in such a highly multi-disciplinary framework. This book will be of interest to advanced students, researchers and stakeholders at various levels.

This book aims at presenting a unified framework for the description of working principles, recent advances and applications of cutting-edge measurement technologies for the water sector. Instrumentation and measurement technologies are currently playing a key role in the monitoring, assessment and protection of environmental resources. Measurement techniques and sensing methods for the observation of water systems are rapidly evolving and are requiring an increased multi-disciplinary participation. The whole water sector is characterised by multiple technological contexts concerning the monitoring of the resource, given the broad coverage that includes water from its natural domains to the men-made infrastructures. In particular, instrumentation and measurement technologies have a pervasive presence in all the necessary aspects for the assessment, monitoring and control of the water resource and of its relationship with the various environmental stressors, including the anthropic pressures. Therefore, the book aims at presenting how the diagnostics/monitoring methodologies and the related technologies can give an answer to the issues raised by the complex scenario characterising the water cycle management (WCM). The book is structured in five topical sections, grouped by similarity of their technological and/or applicative contexts.

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. Presented by world-renowned researchers and practitioners in metaheuristics Includes techniques, algorithms, and applications based on real-world case studies Presents the methodology for formulating optimization problems for metaheuristics Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques Features online complementary source code from the applications and algorithms

Laser Induced Breakdown Spectroscopy (LIBS) Essential resource covering the field of LIBS, with respect to its fundamentals, established and novel applications, and future prospects Laser Induced Breakdown Spectroscopy (LIBS), presents in two comprehensive volumes a thorough discussion of the basic principles of the method, including important recently available data which can lead to a better characterization of the LIBS plasma. This extensive work contains detailed discussions on the lasers, spectrometers, and detectors that can be used for LIBS apparatuses and describes various instrumentation, ranging from basic setups to more advanced configurations. As a modern resource, the work includes the newest advances and capabilities of LIBS instruments, featuring the recent developments of Dual-Pulse LIBS, Femtosecond LIBS, and Micro-LIBS as well as their applications. Throughout, the contributions discuss the analytical capabilities of the method in terms of detection limits, accuracy, and precision of measurements for a variety of samples. Lastly, an extensive range of applications is presented, including food technology, environmental science, nuclear reactors, nanoscience and nanotechnology, and biological and biomedical developments. Sample topics covered within the work include: iagnostics of laser induced plasma (LIP): LIBS plasma and its characteristics, factors affecting the LIBS plasma, methods of enhancing LIBS sensitivity, and LTE/non-LTE plasmas Instrumental developments in LIBS: light collection system and spectral detection systems, handheld LIBS, deep sea LIBS, and industrial sorters and analyzers Femtosecond laser ablation: laser-matter interaction, laser absorption, energy transport, ablation mechanisms and threshold, and plasma characterization Micro-analysis and LIBS imaging: microjoule laser sources, scaling libs to microjoule energies, micrometer scaling, advanced applications, and future prospects Spectroscopic and analytical scientists working with LIBS will find this wide-ranging reference immensely helpful in developing LIBS instrumentation and applications. Researchers and students in natural sciences and related programs of study will be able to use the work to acquire foundational knowledge on the method and learn about cutting-edge advancements being made in the field.

A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researchers and graduate students. It highlights the importance of data assimilation for understanding dynamical processes of the Earth and its space environment, and summarises recent advances.

The ICISAT’2022 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICIS1T’2022 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2022 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2022 includes selected papers from the 12th International Conference on Information Systems and Advanced Technologies “ICISAT’2022”, organized online during August 26–27, 2022. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.

Highlights research trends, challenges and the future of AI in Data Science Explores the potential for integration of advance AI algorithms Addresses the challenges of Data Science for Industry 4.0 Covers security issues of Data Science in the latest technologies Includes both qualitative and quantitative research, case studies, and working models

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.