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Fast Solar Sailing
by Giovanni VulpettiThe range of solar sailing is very vast; it is a fully in-space means of propulsion that should allow us to accomplish various mission classes that are literally impossible using rocket propulsion, no matter if nuclear or electric. Fast and very fast solar sailings are special classes of sailcraft missions, initially developed only in the first half of the 1990s and still evolving, especially after the latest advances in nanotechnology. This book describes how to plan, compute and optimize the trajectories of sailcraft with speeds considerably higher than 100 km/s; such sailcraft would be able to explore the outer heliosphere, the near interstellar medium and the solar gravitational lens (550-800 astronomical units) in times significantly shorter than the span of an average career (~ 35 years), just to cite a few examples. The scientific interest in this type of exploration is huge.
Probability and Simulation (Springer Undergraduate Texts in Mathematics and Technology)
by Giray ÖktenThis undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes’ theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford’s law, and Monte Carlo methods. Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus.Giray Ökten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scholar award in 2015. He is the author of an open access textbook in numerical analysis, First Semester in Numerical Analysis with Julia, published by Florida State University Libraries, and a co-author of a children’s math book, The Mathematical Investigations of Dr. O and Arya, published by Tumblehome. His research interests include Monte Carlo methods and computational finance.
Selected Articles from the 2nd International Conference on Advanced Nanomaterials and Applications: ICANA 2024; 10-12 July, Amaravati, India (Springer Proceedings in Physics #413)
by Yogendra Kumar Mishra Giribabu Lingamallu Tufan GhoshThis book comprises selected articles from the 2nd International Conference on Advanced Nanomaterials and Applications (ICANA 2024) held from 10 to 12 July at Amaravati in India. It presents recent developments in the fields of nanoscale sciences. The topics covered in this book include energy storage and conversion, bio- and healthcare materials, sensors and actuators, functional materials, optical materials, and computational and simulation methods. This book is useful for researchers and professionals working in the various fields of nano- and material science.
Advanced Sampling Methods
by Girish Chandra Raosaheb Latpate Jayant Kshirsagar Vinod Kumar GuptaThis book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.
Genomics Data Analysis for Crop Improvement (Springer Protocols Handbooks)
by Girish Chandra Kuldeep Kumar Priyanka Anjoy Kishor GaikwadThis book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.
Statistical Methods and Applications in Forestry and Environmental Sciences (Forum for Interdisciplinary Mathematics)
by Girish Chandra Raman Nautiyal Hukum ChandraThis book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India.The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
Medizinische Statistik mit SAS Studio unter SODA
by Rainer Muche Gisela Büchele Martin RehmStatistische Auswertung - selbst gemacht!Der in dem vorliegenden Buch beschriebene Zugang über SAS® OnDemand for Academics (SODA) erlaubt einen kostenfreien, browser-basierten Zugang zur SAS-Software. Dabei können unter SAS Studio in einer menügesteuerten Oberfläche statistische Auswertungen ausgeführt werden. Die Oberfläche ist auch in einer deutschsprachigen Version verfügbar.Das Buch wurde so konzipiert, dass es sich hervorragend zum Selbststudium eignet. Zu Beginn wird eine Einführung in die Benutzung der SAS Studio Oberfläche gegeben. Anhand eines Beispieldatensatzes werden deskriptive Statistik, Korrelation/Regression, statistische Tests, Überlebenszeitanalyse sowie Fallzahlplanung mit zahlreichen Screen-Shots nachvollziehbar dargestellt. Eine Anleitung zur kostenlosen Registrierung von SAS-SODA ist ebenfalls enthalten. Darüber hinaus werden praktische Tipps zur Nutzung und Datenaufbereitung gegeben.So können Sie Ihre statistische Auswertung sicher und schnell selbst erledigen.Die AutorenDr. Gisela Büchele und Martin Rehm sind wissenschaftliche Mitarbeiter am Institut für Epidemiologie und Medizinische Biometrie, Ulm.Prof. Dr. Rainer Muche ist stellvertretender Institutsdirektor des Instituts für Epidemiologie und Medizinische Biometrie, Ulm.
Statistik für Ausfalldaten
by Gisela HärtlerDieses Buch bietet eine Einführung in die statistische Analyse von Beobachtungs- und Messwerten in Zuverlässigkeitsexperimenten und ist hauptsächlich als Handbuch für den Praktiker gedacht. Leser mit einer technischen Ausbildung, die einen tieferen Einblick in die mathematische Statistik wünschen, finden in diesem Buch eine Anleitung zum Umgang mit empirischer Information und deren Verknüpfung mit statistischen Methoden. Im Vergleich mit anderen Anwendungen der mathematischen Statistik haben Ausfalldaten einige Besonderheiten: Sie sind zeitabhängig, was sich in der Ausfallrate ausdrückt. Die Wahrscheinlichkeit ist gering, dass im Beobachtungszeitraum alle Objekte ausfallen, es entstehen also zensierte Stichproben. Die Ausfallwahrscheinlichkeit im Experiment lässt sich durch Überlastung erhöhen, man muss aber zusätzlich auf die Zuverlässigkeit unter Normbelastung extrapolieren. Für diese Besonderheiten werden spezielle Modelle und Methoden benötigt, die in der Fachliteratur über Statistik sonst nur selten vorkommen.
Evolution Equations (Lecture Notes in Pure and Applied Mathematics #Vol. 234)
by Rainer Nagel Gisèle Ruiz Goldstein Silvia RomanelliCelebrating the work of renowned mathematician Jerome A. Goldstein, this reference compiles original research on the theory and application of evolution equations to stochastics, physics, engineering, biology, and finance. The text explores a wide range of topics in linear and nonlinear semigroup theory, operator theory, functional analysis, and li
Computational Theory of Mind for Human-Machine Teams: First International Symposium, ToM for Teams 2021, Virtual Event, November 4–6, 2021, Revised Selected Papers (Lecture Notes in Computer Science #13775)
by Gita Sukthankar Nikolos GurneyThis book constitutes the proceedings of the First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, during November 4–6, 2021, Each chapter in this section tackles a different aspect of AI representing the thoughts and beliefs of human agents. The work presented herein represents our collective efforts to better understand ToM, develop AI with ToM capabilities (ASI), and study how to integrate such systems into human teams.
Cognitive Computing for Machine Thinking (Innovations in Sustainable Technologies and Computing)
by Parikshit N. Mahalle Gitanjali R. Shinde Makarand R. VelankarThis book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Foundations of Data Science for Engineering Problem Solving (Studies in Big Data #94)
by Gitanjali Rahul Shinde Parikshit Narendra Mahalle Priya Dudhale Pise Jyoti Yogesh DeshmukhThis book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
Predictive Analytics for Mechanical Engineering: A Beginners Guide (SpringerBriefs in Applied Sciences and Technology)
by Parikshit N. Mahalle Gitanjali Rahul Shinde Pravin P. HujareThis book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Quality of Work-Life During Pandemic: Data Analysis and Mathematical Modeling (Studies in Big Data #100)
by Parikshit N. Mahalle Gitanjali Rahul Shinde Soumi Majumder Haribhau R. BhapkarThis book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.
Compressed Sensing
by Yonina C. Eldar Gitta KutyniokCompressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.
Compressed Sensing and Its Applications: Third International MATHEON Conference 2017 (Applied and Numerical Harmonic Analysis)
by Gitta Kutyniok Holger Boche Robert Calderbank Giuseppe Caire Rudolf Mathar Philipp PetersenThe chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include:Quantized compressed sensingClassificationMachine learningOracle inequalitiesNon-convex optimizationImage reconstructionStatistical learning theoryThis volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.
Microphysics of Magnetic Reconnection in Near-Earth Space: Spacecraft Observations and Numerical Simulations (Springer Theses)
by Giulia CozzaniThis book presents recent advances in the physics of magnetic reconnection, investigated via both in situ spacecraft observations and fully kinetic numerical simulations. Magnetic reconnection is a fundamental process in plasma physics during which the topological reconfiguration of the magnetic field leads to energy conversion and particle energization. The book focuses on the physics of the electron diffusion region (EDR), a crucial region where the electrons are decoupled from the magnetic field and efficiently accelerated by the electric field. By using recent, high-resolution measurements provided by NASA’s Magnetospheric MultiScale Mission (MMS), the book investigates the structure of the EDR at the Earth’s magnetopause. The presented analysis provides evidence for an inhomogeneous and patchy EDR structure. The structure of the EDR appears to be more complex than the in laminar picture suggested by previous observations and simulations. Then, electrons dynamics in the EDR is studied using a novel, fully kinetic Eulerian Vlasov–Darwin model that has been implemented in the Vlasov–DArwin numerical code (ViDA), explained in detail in the book. Lastly, the book covers the testing of this new code, and investigates the contributions of the different terms in the generalized Ohm’s law within the EDR, highlighting the role of the electron inertia term.
Bruno Touschek 100 Years: Memorial Symposium 2021 (Springer Proceedings in Physics #287)
by Luciano Maiani Luisa Bonolis Giulia PancheriThis open access book celebrates the contribution of Bruno Touschek to theoretical physics and particle colliders in Europe. It contains direct testimonials from his former students, collaborators, and eminent scientists, among them, two Nobel Prize winners in Physics, Giorgio Parisi and Carlo Rubbia. It reviews the main developments in theoretical and accelerator physics in the second half of the twentieth century, while at the same time providing an overview of future prospects worldwide. This book is unique in that it will be of interest to historians of physics and also to the younger generation of researchers. Through the contribution of the leading protagonists, the interested scholar will learn about the past, present status, and relevance of both theoretical and experimental accelerator physics. The overview of Bruno Touschek’s life and works across Europe, from pre-war Vienna to Germany, the UK, Italy, and France, adds a human dimension to the scientific narration, while the open access status makes this laudatory book available to anyone with interest.
8th Workshop on Theory, Phenomenology and Experiments in Flavour Physics: Neutrinos, Flavor Physics and Beyond (FP@Capri2022) (Springer Proceedings in Physics #292)
by Giulia Ricciardi Guglielmo De Nardo Mario MerolaThis book is a collection of invited contributions presented at the 8th edition of the International Workshop on Theory, Phenomenology and Experiments in Flavour Physics, held on the Island of Capri, Italy, on 11–13 June 2022. It is a joint workshop between experimentalists and theoreticians aiming at debating recent results and hot topics in flavour physics, in an interdisciplinary effort. Flavour, electroweak physics and neutrino physics are all foremost in the assessment of results within the standard model and search for physics beyond. Anomalies in flavour physics are hints on new physics, while with neutrino masses and oscillations the new physics has already started. Contributions deal mainly with the flavour anomalies, the flavour problem from leptons to quarks and back, including continuous versus discrete symmetries, and the connections between the Higgs sector and neutrinos, embracing see-saw models and Higgs potential analyses. Focus is on neutrinos, at high and low scales, including LHC searches and CLVF, leptogenesis, connections with dark sectors and NP mediators, non-standard neutrino interactions and the problem of the nature of massive neutrinos.
New Frontiers of Celestial Mechanics: I-CELMECH Training School, Milan, Italy, February 3–7, 2020 (Springer Proceedings in Mathematics & Statistics #399)
by Giulio Baù Sara Di Ruzza Rocío Isabel Páez Tiziano Penati Marco SansotteraThis volume contains the detailed text of the major lectures delivered during the I-CELMECH Training School 2020 held in Milan (Italy). The school aimed to present a contemporary review of recent results in the field of celestial mechanics, with special emphasis on theoretical aspects. The stability of the Solar System, the rotations of celestial bodies and orbit determination, as well as the novel scientific needs raised by the discovery of exoplanetary systems, the management of the space debris problem and the modern space mission design are some of the fundamental problems in the modern developments of celestial mechanics. This book covers different topics, such as Hamiltonian normal forms, the three-body problem, the Euler (or two-centre) problem, conservative and dissipative standard maps and spin-orbit problems, rotational dynamics of extended bodies, Arnold diffusion, orbit determination, space debris, Fast Lyapunov Indicators (FLI), transit orbits and answer to a crucial question, how did Kepler discover his celebrated laws? Thus, the book is a valuable resource for graduate students and researchers in the field of celestial mechanics and aerospace engineering.
Introduction to Credit Risk
by Giulio CarloneIntroduction to Credit Risk focuses on analysis of credit risk, derivatives, equity investments, portfolio management, quantitative methods, and risk management. In terms of application, this book can be used as an important tool to explain how to generate data rows of expected exposure to counterparty credit risk. The book also directs the reader on how to visualize, in real time, the results of this data, generated with a Java tool. Features Uses an in-depth case study to illustrate multiple factors in counterparty credit risk exposures Suitable for quantitative risk managers at banks, as well as students of finance, financial mathematics, and software engineering Provides the reader with numerous examples and applications Giulio Carlone has an MBA, a PhD, and a Master’s degree in Computer Science from the University of Italy. He is a member of the software system engineering staff of the Department of Computer Science at University College London. He has 20 years of practical experience in technical software engineering and quantitative finance engineering in the commercial sector. His research interests include the use of communication strategies and the implementation of plans and projects using financial software for requirement specifications, requirements analysis, and architectural design.
Optimization of Electric-Vehicle Charging: Scheduling and Planning Problems (Advances in Industrial Control)
by Giulio Ferro Riccardo Minciardi Luca Parodi Michela RobbaThis book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturing and smart grids. Optimization of Electric-Vehicle Charging explores several optimization models for the scheduling of electric vehicles in a smart grid. Both discrete-time and discrete-event approaches are considered to minimize tardiness, charging and production costs, on the basis of information like release time, due date, deadline, energy request, and availability of energy generated from renewable sources. Transportation demand is assessed, as well as user-equilibrium-based approaches, for the location of charging stations and for the assignment of users to multiple charging stations. Employing illustrations, tables and examples to elucidate the ideas presented, this book will be of value to researchers and practitioners in the fields of electrical engineering and transportation, as well as to graduate and PhD students.
Microarray Data Analysis (Methods in Molecular Biology #2401)
by Giuseppe AgapitoThis meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.
A Primer for Spatial Econometrics: With Applications In R (Palgrave Texts in Econometrics)
by Giuseppe ArbiaThis book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.
A Primer for Spatial Econometrics: With Applications in R, STATA and Python (Palgrave Texts in Econometrics)
by Giuseppe ArbiaThis textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a spatial approach. The second edition contains new methodological developments, new references and new software routines in R that have emerged since the first edition published in 2014. It also extends practical applications with the use of the software STATA and of the programming language Python. The first software is used increasingly by many economists, applied econometricians and social scientists while the software Python is becoming the elective choice in many scientific applications. With new statistical appendices in R, STATA and Python, as well as worked examples, learning questions, exercises and technical definitions, this is a significantly expanded second edition that will be a valuable resource for advanced students of econometrics.