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Predicting User Performance and Errors
by Marc HalbrüggeThis book proposes a combination of cognitive modeling with model-based user interface development to tackle the problem of maintaining the usability of applications that target several device types at once (e.g., desktop PC, smart phone, smart TV). Model-based applications provide interesting meta-information about the elements of the user interface (UI) that are accessible through computational introspection. Cognitive user models can capitalize on this meta-information to provide improved predictions of the interaction behavior of future human users of applications under development. In order to achieve this, cognitive processes that link UI properties to usability aspects like effectiveness (user error) and efficiency (task completion time) are established empirically, are explained through cognitive modeling, and are validated in the course of this treatise. In the case of user error, the book develops an extended model of sequential action control based on the Memory for Goals theory and it is confirmed in different behavioral domains and experimental paradigms. This new model of user cognition and behavior is implemented using the MeMo workbench and integrated with the model-based application framework MASP in order to provide automated usability predictions from early software development stages on. Finally, the validity of the resulting integrated system is confirmed by empirical data from a new application, eliciting unexpected behavioral patterns.
Predicting Vehicle Trajectory
by Yuichi Motai Cesar BarriosThis book concentrates on improving the prediction of a vehicle’s future trajectory, particularly on non-straight paths. Having an accurate prediction of where a vehicle is heading is crucial for the system to reliably determine possible path intersections of more than one vehicle at the same time. The US DOT will be mandating that all vehicle manufacturers begin implementing V2V and V2I systems, so very soon collision avoidance systems will no longer rely on line of sight sensors, but instead will be able to take into account another vehicle’s spatial movements to determine if the future trajectories of the vehicles will intersect at the same time. Furthermore, the book introduces the reader to some improvements when predicting the future trajectory of a vehicle and presents a novel temporary solution on how to speed up the implementation of such V2V collision avoidance systems. Additionally, it evaluates whether smartphones can be used for trajectory predictions, in an attempt to populate a V2V collision avoidance system faster than a vehicle manufacturer can.
Prediction and Causality in Econometrics and Related Topics (Studies in Computational Intelligence #983)
by Nguyen Ngoc Thach Doan Thanh Ha Nguyen Duc Trung Vladik KreinovichThis book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy.This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
Prediction and Control of Interaction Between Ground Building and Tunnel Construction Process
by Dan Meng Changfeng Yuan Guangming YuThis book covers tunnel construction and building construction and design. It has two parts. Part one is for the engineering practice of the subway tunnel through the base of the building in typical geological conditions, to study the mechanism and law of building damage caused by stratum deformation by in-situ monitoring, numerical simulation and theoretical analysis methods. At the same time, the risk management of subway tunnel through the bottom of the building is discussed. Second part, in view of the excavation and unloading of the foundation pit and the main structure loading in the process of high-rise building construction, discusses optimization of the construction scheme, systematic evaluation of the safety of the existing tunnel and control measures combined with the engineering practice. This book provides a valuable contribution to the field of tunnel construction and design and construction of building for both the engineering experts and graduate students as well.
Prediction and Control of Noise and Vibration from Ventilation Systems
by Cheuk Ming Mak Kuen Wai Ma Hai Ming WongThis book addresses the prediction and control of noise and vibration in ventilation systems and their psychoacoustic effects on people. The content is based on the authors’ research and lecture material on building acoustics and provides insights into the development of prediction methods and control of noise and vibration from ventilation systems, and an assessment of their psychological effects on people. The basic principles and methods for prediction and control of noise and vibration from ventilation systems are discussed, including the latest developments on flow-generated noise prediction, assessment methods for the performance of vibration isolation, noise control using periodic Helmholtz Resonators, and holistic psychoacoustic assessment of noise from ventilation systems. The insightful book on noise and vibration in ventilation systems Extends into prediction, control, and psychoacoustic assessment methods The book suits graduate students and engineers in acoustics and noise and vibration control, as well as in building services engineering and across the built environment.
Prediction And Performance In Rock Mechanics and Rock Engineering
by Giovanni BarlaA collection of conference proceedings on rock mechanics and rock engineering covering such topics as: foundations of dams, bridges and large structures; mining structures; formulation of geotechnical models; rock mass characterization; and recent advances in modelling.
Prediction and Simulation Methods for Geohazard Mitigation: including CD-ROM
by Fusao Oka Akira Murakami Sayuri KimotoThe last decades have shown a remarkable increase in the number of heavy rains, typhoons and earthquakes. These natural phenomena are the main causes for geohazards. As a result the mitigation of geohazards has become a major research topic in geotechnical engineering, and in recent years simulation-based predictions and monitoring tools have been
Prediction and Validation Technologies of Aerodynamic Force and Heat for Hypersonic Vehicle Design (Springer Aerospace Technology)
by Min ZhaoThis book provides an overview of advanced prediction and verification technologies for aerodynamics and aerothermodynamics and assesses a number of critical issues in advanced hypersonic vehicle design. Focusing on state-of-the-art theories and promising technologies for engineering applications, it also presents a range of representative practical test cases. Given its scope, the book offers a valuable asset for researchers who are interested in thermodynamics, aircraft design, wind tunnel testing, fluid dynamics and aerothermodynamics research methods, introducing them to inspiring new research topics.
Prediction Machines: The Simple Economics of Artificial Intelligence
by Ajay Agrawal Joshua Gans Avi GoldfarbArtificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in this book, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
Prediction of Concrete Durability: Proceedings of STATS 21st anniversary conference
by J. Glanville A. NevillePoor durability of concrete is a continuing concern to owners of structures and their professional advisors. Advances in methods of assessing and predicting durability are being made in many areas, and this book provides a state of art review of the current situation. Contributions from leading researchers and consultants make it a valuable guide f
Prediction of Long Term Corrosion Behaviour in Nuclear Waste Systems EFC 36 (European Federation of Corrosion Publications)
by Damien FeronPapers presented on prediction of long term corrosion behaviour in nuclear waste systems EFC Issue 36.
Prediction of Polymer Properties (Plastics Engineering)
by Jozef BiceranoHighlighting a broad range multiscale modeling and methods for anticipating the morphologies and the properties of interfaces and multiphase materials, this reference covers the methodology of predicting polymer properties and its potential application to a wider variety of polymer types than previously thought possible. A comprehensive source, the
Prediction of Polymeric Membrane Separation and Purification Performances
by Alexander Anim-Mensah Rakesh GovindThis brief describes the development of a new model for realistically characterizing solution-diffusion transport mechanisms in polymeric membranes that are used for separation and purification of organic solvents. Polymeric membranes used in these environments, if not selected appropriately, undergo excessive swelling and compaction resulting in lowered performance or membrane destruction in the long-term. This brief describes the relationship between key parameters from a chemical, mechanical and thermodynamic perspective. Moreover, the authors show how this new model points membrane manufacturers, scientists, and engineers towards an understanding of how these key parameters are considered in (1) designing and manufacturing membranes for the right application, (2) designing the right test experiments to determine the long-term membrane behavior in a short time, (3) minimizing the number of experiments to determine a reliable membrane for an application and (4) selecting the right membrane with higher level of certainty. The overall benefits of the model includes saving money and time. A simplified version of the model is included to assist the reader.
Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting (Lecture Notes In Electrical Engineering Series #956)
by Anuradha Tomar Prerna Gaur Xiaolong JinThis book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
Prediction Technologies for Improving Engineering Product Efficiency
by Lev M. KlyatisThis book is aimed at readers who need to learn the latest solutions for interconnected simulation, testing, and prediction technologies that improve engineering product efficiency, including reliability, safety, quality, durability, maintainability, life-cycle costing and profit. It provides a detailed analysis of technologies now being used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It includes clear examples, charts, and illustrations. This book provides analyses of the simulation, testing, and prediction approaches and methodologies with descriptive, negative trends in their development. The author discusses why many current methods of simulation, testing, and prediction are not successful and describes novel techniques and tools developed for eliminating these problems. This book is a tool for engineers, managers, researches in industry, teachers, and students. Lev Klyatis, Hab. Dr.-Ing., ScD., PhD, Senior Advisor SoHaR, Inc., has been a professor at Moscow State Agricultural Engineering University, research leader and chairman of State Enterprise TESTMASH, and served on the US Technical Advisory Group for the International Electrotechnical Commission (IEC), the ISO/IEC Join Study Group in Safety Aspects of Risk Assessment, the United Nations European Economical Commission, and US-USSR Trade and Economic Council. He is presently a member of World Quality Council, the Elmer A. Sperry Board of Award, SAE International G-41 Reliability Committee, the Integrated Design and Manufacturing Committee and session chairman of SAE International World Congresses in Detroit since 2012. His vast experience and innovation enable him to create a new direction for the successful prediction of product efficiency during any given time, including accurate simulation of real-world conditions, accelerated reliability and durability testing technology, and reducing recalls. His approach has been verified in various industries, primarily automotive, farm machinery, aerospace, and aircraft industries. He has shared his new direction working as the seminar instructor and consultant to Ford, DaimlerChrysler, Nissan, Toyota, Jatko Ltd., Thermo King, Black an Dekker, NASA Research Centers, Karl Schenck, and many others. He holds over 30 patents worldwide and is the author of over 300 publications, including 15 books.
Predictive Analytics: Modeling and Optimization (Advanced Research in Reliability and System Assurance Engineering)
by Edited by Vijay Kumar and Mangey RamPredictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Predictive Analytics for Mechanical Engineering: A Beginners Guide (SpringerBriefs in Applied Sciences and Technology)
by Parikshit N. Mahalle Pravin P. Hujare Gitanjali Rahul ShindeThis 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.
Predictive Analytics in Smart Agriculture
by Saravanan Krishnan A. Jose Anand Narayanan Prasanth Sam Goundar Christo AnanthPredictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems.This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated.This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.
Predictive Analytics in System Reliability (Springer Series in Reliability Engineering)
by Vijay Kumar Hoang PhamThis book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering.The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
Predictive Analytics of Psychological Disorders in Healthcare: Data Analytics on Psychological Disorders (Lecture Notes on Data Engineering and Communications Technologies #128)
by Mamta Mittal Lalit Mohan GoyalThis book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.
Predictive and Optimised Life Cycle Management: Buildings and Infrastructure
by Asko SarjaPredictive and Optimised Life-Cycle Management sets out methodologies to meet the demands of the current trend towards sustainable civil engineering and building. Encompassing all aspects of construction practice, from design through to demolition and the recycling of materials, Sarja provides tools for optimal property-value protection, including a description of an integrated and predictive Life-Cycle Maintenance and Management Planning System (LMS), which employs a wide range of techniques. Clear and practical, this guide provides effective methodology required to change a reactive system of management to a predictive one, which will benefit practitioners and students involved in construction, from the architect to local and government authorities; from design engineers to facility managers.
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