Author by FUTURE PRESS.
ISBN : 3869931051
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A study of the gruesome game characters we love to beat—and what they tell us about ourselves. Since the early days of video games, monsters have played pivotal roles as dangers to be avoided, level bosses to be defeated, or targets to be destroyed for extra points. But why is the figure of the monster so important in gaming, and how have video games come to shape our culture’s conceptions of monstrosity? To answer these questions, Player vs. Monster explores the past half-century of monsters in games, from the dragons of early tabletop role-playing games and the pixelated aliens of Space Invaders to the malformed mutants of The Last of Us and the bizarre beasts of Bloodborne, and reveals the common threads among them. Covering examples from aliens to zombies, Jaroslav Švelch explores the art of monster design and traces its influences from mythology, visual arts, popular culture, and tabletop role-playing games. At the same time, he shows that video games follow the Cold War–era notion of clearly defined, calculable enemies, portraying monsters as figures that are irredeemably evil yet invariably vulnerable to defeat. He explains the appeal of such simplistic video game monsters, but also explores how the medium could evolve to present more nuanced depictions of monstrosity.
This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
Power skills are something every manager must have. Power means more than formal authority - it is the art of building alliances, networks, influence and control. Free from theory, 'Power at Work' focuses on the practical skills you can learn and use to your advantage.
The most innovative, unconventional, and profoundly practical career guide available--newly revised and updated With today's economic uncertainties, millions of Americans realize they must seize control over their own career paths. They want work that not only pays the bills but also allows them to pursue their real passions. In this revised edition, Laurence Boldt updates and revises his revolutionary guide to meet the challenges of the twenty-first century workplace. The first part of this book helps readers to identify the work that they really want to do, while the second provides practical, active steps to finding or creating that work. Zen and the Art of Making a Living goes beyond inspiration, providing a proven formula for bringing creativity, dignity, and meaning to every aspect of the work experience.
"Limited Edition" is the new phenomenon in furniture design. With prototypes, one-offs and limited product lines, designers are making furniture objects outside of, and parallel to, the industrial manufacturing system. This book documents this new phenomenon in meticulous investigative essays and presents a fascinating collection of works.
This book constitutes the full papers and short monographs developed on the base of the refereed proceedings of the International Conference on Information Technologies: Information and Communication Technologies for Research and Industry (ICIT-2019), held in Saratov, Russia in February 2019. The book brings accepted papers which present new approaches and methods of solving problems in the sphere of control engineering and decision making for the various fields of studies: industry and research, ontology-based data simulation, smart city technologies, theory and use of digital signal processing, cognitive systems, robotics, cybernetics, automation control theory, image recognition technologies, and computer vision. Particular emphasis is laid on modern trends, new approaches, algorithms and methods in selected fields of interest. The presented papers were accepted after careful reviews made by at least three independent reviewers in a double-blind way. The acceptance level was about 60%. The chapters are organized thematically in several areas within the following tracks: • Models, Methods & Approaches in Decision Making Systems • Mathematical Modelling for Industry & Research • Smart City Technologies The conference is focused on development and globalization of information and communication technologies (ICT), methods of control engineering and decision making along with innovations and networking, ICT for sustainable development and technological change, and global challenges. Moreover, the ICIT-2019 served as a discussion area for the actual above-mentioned topics. The editors believe that the readers will find the proceedings interesting and useful for their own research work.
This book presents novel algorithms for designing Discrete-Time Sliding Mode Controllers (DSMCs) for Networked Control Systems (NCSs) with both types of fractional delays namely deterministic delay and random delay along with different packet loss conditions such as single packet loss and multiple packet loss that occur within the sampling period. Firstly, the switching type and non-switching type algorithms developed for the deterministic type fractional delay where the delay is compensated using Thiran’s approximation technique. A modified discrete-time sliding surface is proposed to derive the discrete-time sliding mode control algorithms. The algorithm is further extended for the random fractional delay with single packet loss and multiple packet loss situations. The random fractional delay is modelled using Poisson’s distribution function and packet loss is modelled by means of Bernoulli’s function. The condition for closed loop stability in all above situations are derived using the Lyapunov function. Lastly, the efficacy of the proposed DSMC algorithms are demonstrated by extensive simulations and also experimentally validated on a servo system.
Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
This book is about algebraic and differential methods, as well as fractional calculus, applied to diagnose and reject faults in nonlinear systems, which are of integer or fractional order. This represents an extension of a very important and widely studied problem in control theory, namely fault diagnosis and rejection (using differential algebraic approaches), to systems presenting fractional dynamics, i.e. systems whose dynamics are represented by derivatives and integrals of non-integer order. The authors offer a thorough overview devoted to fault diagnosis and fault-tolerant control applied to fractional-order and integer-order dynamical systems, and they introduce new methodologies for control and observation described by fractional and integer models, together with successful simulations and real-time applications. The basic concepts and tools of mathematics required to understand the methodologies proposed are all clearly introduced and explained. Consequently, the book is useful as supplementary reading in courses of applied mathematics and nonlinear control theory. This book is meant for engineers, mathematicians, physicists and, in general, to researchers and postgraduate students in diverse areas who have a minimum knowledge of calculus. It also contains advanced topics for researchers and professionals interested in the area of states and faults estimation.