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Predictive and Preventive Measures for Covid-19 Pandemic (Algorithms for Intelligent Systems)
by Praveen Kumar Khosla Mamta Mittal Dolly Sharma Lalit Mohan GoyalThis book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.
Predictive Control: Fundamentals and Developments
by Yugeng Xi Dewei LiThis book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.
Predictive Control for Spacecraft Rendezvous (SpringerBriefs in Applied Sciences and Technology)
by Afonso Botelho Baltazar Parreira Paulo N. Rosa João Miranda LemosThis brief addresses the design of model predictive control algorithms for performing space rendezvous manoeuvres. It consolidates developments within guidance and control algorithms, with the aim of improving the efficiency, safety, and autonomy of these manoeuvres. The brief presents several applications of model predictive control to rendezvous manoeuvres, including Ankersen zero-order-hold particular solution1, which provides a realistic thrust profile. It offers new approaches for rendezvous manoeuvres in elliptical orbits, formulating obstacle avoidance constraints, passive safety constraints, and robustness techniques. It also compares finite-horizon and variable-horizon formulations for model predictive control in the context of performance and computational complexity. Predictive Control for Spacecraft Rendezvous is accessible to academics and students new to the topics of orbital rendezvous and model predictive control, but also presents compelling subject matter for researchers and professionals in the aerospace industry.
Predictive Control of Power Converters and Electrical Drives
by Patricio Cortes Jose RodriguezDescribes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drivesThe book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four - Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic.Unique in presenting a completely new theoretic solution to control electric power in a simple wayDiscusses the application of predictive control in motor drives, with several examples and case studiesMatlab is included on a complementary website so the reader can run their own simulations
Predictive Cruise Control for Road Vehicles Using Road and Traffic Information (Advances in Industrial Control)
by Péter Gáspár Balázs NémethThis book focuses on the design of a multi-criteria automated vehicle longitudinal control system as an enhancement of the adaptive cruise control system. It analyses the effects of various parameters on the average traffic speed and the traction force of the vehicles in mixed traffic from a macroscopic point of view, and also demonstrates why research and development in speed control and predictive cruise control is important. The book also summarises the main steps of the system’s robust control design, from the modelling to its synthesis, and discusses both the theoretical background and the practical computation method of the control invariant sets.The book presents the analysis and verification of the system both in a simulation environment and under real-world conditions. By including the systematic design of the predictive cruise control using road and traffic information, it shows how optimization criteria can lead to multiobjective solutions, and the advanced optimization and control design methods required. The book focuses on a particular method by which the unfavourable effect of the traffic flow consideration can be reduced. It also includes simulation examples in which the speed design is performed, while the analysis is carried out in simulation and visualization environments.This book is a valuable reference for researchers and control engineers working on traffic control, vehicle control and control theory. It is also of interest to students and academics as it provides an overview of the strong interaction between the traffic flow and an individual vehicle cruising from both a microscopic and a macroscopic point of view.
Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps (Studies in Computational Intelligence #1065)
by Hiren Kumar Thakkar Mayank Swarnkar Robin Singh BhadoriaThis contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.
Predictive Dialing Fundamentals: An Overview of Predictive Dialing Technologies, Their Applications, and Usage Today
by Aleksander Szlam Ken ThatcherWho should read this book? This is a must read if you're a newcomer to predictive dialers and responsible for analyzing, recommending and deploying inbound and outbound call center solutions; or, if you're in the midst of implementing a predictive dialer,
Predictive Learning Control for Unknown Nonaffine Nonlinear Systems: Theory and Applications (Intelligent Control and Learning Systems #8)
by Qiongxia Yu Ting Lei Fengchen Tian Zhongsheng Hou Xuhui BuThis book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.
Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases (Information Fusion and Data Science)
by Tania Cerquitelli Nikolaos Nikolakis Niamh O’Mahony Enrico Macii Massimo Ippolito Sotirios MakrisThis book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Predictive Microbiology in Foods
by Antonio Valero Fernando Perez-RodriguezPredictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered.
Predictive Models for Decision Support in the COVID-19 Crisis (SpringerBriefs in Applied Sciences and Technology)
by Joao Alexandre Marques Francisco Nauber Gois José Xavier-Neto Simon James FongCOVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
PREDICTIVE POLICING: The Role of Crime Forecasting in Law Enforcement Operations
by John S. Hollywood Susan C. Smith Carter C. Price Brian Mcinnis Walter L. PerryPredictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.
Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning (Reliability, Maintenance, and Safety Engineering)
by Robert StevensNearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense.Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations.This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.
Predictive Technology in Social Media
by Cristina Fernández-RoviraCan behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it.Predictive Technology in Social Media comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.
Predictive Technology Model for Robust Nanoelectronic Design
by Yu CaoPredictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device model used in electronic design. This work explains the systematic model development and provides a guide to robust design practice in the presence of variability and reliability issues. Having interacted with multiple leading semiconductor companies and university research teams, the author brings a state-of-the-art perspective on technology scaling to this work and shares insights gained in the practices of device modeling.
Predictor Feedback for Delay Systems: Implementations and Approximations
by Iasson Karafyllis Miroslav KrsticThis monograph bridges the gap between the nonlinear predictor as a concept and as a practical tool, presenting a complete theory of the application of predictor feedback to time-invariant, uncertain systems with constant input delays and/or measurement delays. It supplies several methods for generating the necessary real-time solutions to the systems' nonlinear differential equations, which the authors refer to as approximate predictors. Predictor feedback for linear time-invariant (LTI) systems is presented in Part I to provide a solid foundation on the necessary concepts, as LTI systems pose fewer technical difficulties than nonlinear systems. Part II extends all of the concepts to nonlinear time-invariant systems. Finally, Part III explores extensions of predictor feedback to systems described by integral delay equations and to discrete-time systems. The book's core is the design of control and observer algorithms with which global stabilization, guaranteed in the previous literature with idealized (but non-implementable) predictors, is preserved with approximate predictors developed in the book. An applications-driven engineer will find a large number of explicit formulae, which are given throughout the book to assist in the application of the theory to a variety of control problems. A mathematician will find sophisticated new proof techniques, which are developed for the purpose of providing global stability guarantees for the nonlinear infinite-dimensional delay system under feedback laws employing practically implementable approximate predictors. Researchers working on global stabilization problems for time-delay systems will find this monograph to be a helpful summary of the state of the art, while graduate students in the broad field of systems and control will advance their skills in nonlinear control design and the analysis of nonlinear delay systems.
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis (Studies in Systems, Decision and Control #471)
by Mehdi Soltanifar Hamid Sharafi Farhad Hosseinzadeh Lotfi Witold Pedrycz Tofigh AllahviranlooThis book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support.This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming.This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
Pregnancy with Artificial Intelligence: A 9.5 Months Journey From Preconception to Birth (Intelligent Systems Reference Library #234)
by Smaranda Belciug Dominic IliescuThis book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
Preharvest Field sprouting in Cereals
by N.F. DereraThis book summarizes the research done on preharvest sprouting during recent years. Naturally, whenever needed, earlier findings are also considered. Both publishers and the authors hope that his publication will provide researchers and students with a convenient source of up-to-date information in this expanding field.
Preharvest Food Safety (ASM Books)
by Siddhartha Thakur Kalmia KnielAn overview of farm-to-fork safety in the preharvest realm Foodborne outbreaks continue to take lives and harm economies, making controlling the entry of pathogens into the food supply a priority. Preharvest factors have been the cause of numerous outbreaks, including Listeria in melons, Salmonella associated with tomatoes, and Shiga toxin-producing E.coli in beef products, yet most traditional control measures and regulations occur at the postharvest stage. Preharvest Food Safety covers a broad swath of knowledge surrounding topics of safety at the preharvest and harvest stages, focusing on problems for specific food sources and food pathogens, as well as new tools and potential solutions. Led by editors Siddhartha Thakur and Kalmia Kniel, a team of expert authors provides insights into critical themes surrounding preharvest food safety, including Challenges specific to meat, seafood, dairy, egg, produce, grain, and nut production Established and emerging foodborne and agriculture-related pathogens Influences of external factors such as climate change and the growing local-foods trend Regulatory issues from both US and EU perspectives Use of pre- and probiotics, molecular tools, mathematical modeling, and one health approaches Intended to encourage the scientific community and food industry stakeholders to advance their knowledge of the developments and challenges associated with preharvest food safety, this book addresses the current state of the field and provides a diverse array of chapters focused on a variety of food commodities and microbiological hazards.
#Prehistoric: Follow The Dinosaurs
by John Bailey OwenCan a T. rex take a selfie? Will woolly mammoth's throwback Thursday photo get the most likes? What if prehistoric creatures were online?Kids are engaging in social networks in increasing numbers and this digital world has given birth to a new language--the hashtag language. #PREHISTORIC offers a unique opportunity to connect with kids in their language while introducing them to the incredible dinosaurs and animals of the prehistoric world. Each creature has its own humorous username and caption as well as a user info page that offers basic facts, stats, and photos. A comment section provides humorously imagined dinosaur banter. The hashtags also serve to present information in a contemporary voice. #PREHISTORIC is a melding of old and new and fun and informative, making nonfiction incredibly accessible for young readers.
Prehistoric Modernization: From Hunting and Gathering to the Origins of Agriculture
by Shengqian ChenThis book explores the origins of agriculture in China, and the transformation from hunter-gatherer to agriculture producer. Therefore, it reveals the ancient genes of China as an agricultural country and digs into questions like what turning events occurred during the transformative period from hunting-gathering to agricultural production and why the development of agriculture is rapid in some regions while largely delayed in others. This book also introduces various definitions and theoretical methods on the study of agriculture’s origin. It represents the transforming era by simulating prehistoric hunter-gatherer’s survival strategies with data collected from modern weather station. The author also tries to answer questions on the origins of agriculture production in China with comprehensive archeology evidences.
The Prehistory of Metallurgy in the British Isles: 5
by R. F. Tylecote"First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company."
A Prehistory of Polymer Science (SpringerBriefs in Molecular Science #2)
by Gary Patterson Carnegie Mellon UniversityPolymer science is now an active and thriving community of scientists, engineers and technologists, but there was a time, not so long ago, when there was no such community. The prehistory of polymer science helps to provide key insights into current issues and historical problems. The story will be divided into an ancient period ( from Greek times to the creation of the molecular consensus), a nascent period (from Dalton to Kekule to van't Hoff) and a period of paradigm formation and controversy (from Staudinger to Mark to Carothers). The prehistory concludes with an account of the epochal 1935 Discussion of the Faraday Society on "Polymerization". After this meeting an active community engaged in trying to solve the central problems defined by the discussions.
Preisexplosion am Bau – Die Zukunft pragmatisch kalkulieren: Schnelleinstieg für Architekten und Bauingenieure (essentials)
by Matthias Linnemann Sonja Kaltenborn Markus G. VieringDie Bauwelt sieht sich infolge der noch anhaltenden Corona-Pandemie sowie des Ukraine-Krieges mit einer Vielzahl an baubetrieblichen und rechtlichen Fragestellungen konfrontiert: beginnend bei der Frage zur Risikoverteilung bzgl. gestiegener Material- und Beschaffungspreise sowie dem Umgang mit Beschaffungsengpässen, über die Anspruchsgrundlagen zur Übernahme von Preissteigerungen, bis zur Betrachtung der Termini Höhere Gewalt sowie Wegfall der Geschäftsgrundlage. Dieses essential gibt Orientierung in einer undurchsichtigen Situation und beleuchtet dabei die Kernfragen, die in der Bauwelt diskutiert werden. Das primäre Ziel ist die Aufrechterhaltung des laufenden Baubetriebs durch einen partnerschaftlichen Umgang der Vertragsparteien sowie dem korrekten Umgang mit den baubetrieblich und rechtlich kritischen Thematiken, bspw. der Preisgleitklausel. Zudem wird ein pragmatischer Lösungsansatz vorgestellt, welcher nach baubetrieblich-sachverständigen Aspekten zur Wiederherstellung des Risikogleichgewichts zwischen den Vertragsparteien beiträgt.