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.
Given the current research direction toward ubiquitous information sharing and digitalization, the huge amount of documents in the world’s largest libraries and archives are stored as digital data in big data centers, including those of Google, Apple, Microsoft, Samsung, Amazon, IBM, and others. The recent advancements in the fast Internet, smart computing, information technologies, and management information systems created a platform for ultra-smart cyberspace and cyber automation driven by digital transformation, artificial intelligence (AI), and ultra-smart humanoid robotics. Welcome to the world of the digital revolution and the new era of digitalization where the dream of paperless factories has become a reality today, and yet there are future challenges ahead of us to make sure that digitalization contributes to the betterment of humankind. This book is a valuable reference providing up-to-date information about current state-of-the-art and future research directions in digital transformation for cyber experts, business and industry practitioners, university faculty, and senior and graduate students worldwide.
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.
The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.
