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• Collective Versus Statistical Aspects of Nuclear Motion.- Tests of Fundamental Symmetries in Compound-Nucleus Scattering.- Chaos in Nuclei.- Ericson Fluctuations Versus Conductance Fluctuations: Similarities and Differences.- Hot Nuclei - Landau Theory, Thermal Fluctuations and Dissipation.- Dissipation and Thermal Fluctuations in Heavy-Ion Collisions.- Multi-Dimensional Tunneling and Nuclear Fission.- Phase-Space Dynamics of Heavy-Ion Reactions.- Quantum Chaology: Our Knowledge and Ignorance.- True Quantum Chaos? An Instructive Example.- Toward the Fundamental Theory of Nuclear Matter Physics: The Microscopic Theory of Nuclear Collective Dynamics.- Mean Field Dynamics and Low-Lying Collective Excitations.- Rotational Motion in Warm Atomic Nuclei.- Collectivity and Chaoticity in Nuclear Dynamics.- Index of Contributors.
• (source: Nielsen Book Data)

"New Trends in Nuclear Collective Dynamics" emphasizes research toward understanding collective and statistical aspects of nuclear dynamics. Well-known lecturers from centers of nuclear research present reviews of recent developments. The topics covered are: -order and chaos in finite quantum systems -dissipation in heavy-ion collisions -collective motionsin warm nuclei -time-dependent mean-field theory with collision terms -nuclear fission and multi-dimensional tunneling -large-scale collective motion.
(source: Nielsen Book Data)

A collection of experiments, projects, and other activities exploring the many areas of science, from the earth and space sciences to computer technology and ESP.

• Chapter 1. Introduction.-
• Chapter 2. Krill Herd Algorithm.-
• Chapter 3. Literature Review.-
• Chapter 4. Proposed Methodology.-
• Chapter 5. Experimental Results.-
• Chapter 6. Conclusion and Future Work.- References.- List Of Publications.
• (source: Nielsen Book Data)

This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction technique, in order to obtain a new subset of more informative features with low-dimensional space. This new subset is subsequently used to improve the performance of the text clustering (TC) algorithm and reduce its computation time. The k-mean clustering algorithm is used to evaluate the effectiveness of the obtained subsets. (ii) Four krill herd algorithms (KHAs), namely, the (a) basic KHA, (b) modified KHA, (c) hybrid KHA, and (d) multi-objective hybrid KHA, are proposed to solve the TC problem; each algorithm represents an incremental improvement on its predecessor. For the evaluation process, seven benchmark text datasets are used with different characterizations and complexities. Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where all documents in the same cluster are similar. The findings presented here confirm that the proposed methods and algorithms delivered the best results in comparison with other, similar methods to be found in the literature.
(source: Nielsen Book Data)

• Preface Chapter 1: Basic STEM Concepts: Providing Different Avenues to Understanding Chapter 2: STEM Instruction
• Chapter 3: Science and Mathematics: The Power of Inquiry and Problem Solving Chapter 4: Engineering and Technology: Imaginatively Integrating STEM Subjects In the Classroom Chapter 5: STEM: Past, Present, and FUTURE Chapter 6: Evaluating STEM Learning: Informative Assessment, Lesson Plans and Activities.
• (source: Nielsen Book Data)

This book will help educators design STEM programs and lessons that foster teamwork and thinking while getting students actively involved in their own learning. There are many practical ideas and lesson plans that will help teachers reach both eager and reluctant learners. The suggestions for STEM curriculum and instruction are research based and standards driven. This book looks at collaborative learning, differentiation, and diversity all the while building instruction in the STEM subjects and good hands-on materials. This is done in a way that is designed to help every student feel successful and part of the class as a whole. It shows a deep respect for the unique relationship between teachers and their students as they try to navigate their way into the future. Suggestions are designed to help learners question, analyze, interpret, problem solve, and discover. The STEM subjects of science, technology, engineering, and math are essential to understanding the world of today and the world of tomorrow. The authors view is that it takes more than innovation alone; for innovation to be useful, products of the imagination must be arranged in ways that allow them to be used to solve real world problems.
(source: Nielsen Book Data)

• Preface
• Chapter 1 Introduction
• Chapter 2 Thinking and Learning: STEM in a technologically-intensive world
• Chapter 3 Collaborative Learning: A Role for Small Groups in preparing tomorrow's Innovators
• Chapter 4 Communication Technologies
• Chapter 5 Science and Mathematics: The Power of Inquiry and Problem Solving
• Chapter 6 Language and Literacy: Communication Skills in a Digital Age
• Chapter 7 Arts Education: Connections, Knowledge, and Informed Encounters.
• (source: Nielsen Book Data)

In this book, the authors integrate STEM (i.e., science, technology, engineering, and mathematics) concepts and the cultivation of young minds in order to be open to innovation. This book uses STEM instruction as blurring the lines among basic subject areas. Often, it's more than integrating science, mathematics, engineering, and technology. Ideas, activities, and projects can be integrated with lessons from the language arts to the Arts as well. In this book, STEM is treated as more of a philosophy than a program or a set of activities.
(source: Nielsen Book Data)

• Preface
• List of participants
• Introduction
• Chapter 1
• VIRTUAL REALITY TECHNOLOGY
• INVITED LECTURES
• Virtual Reality Research in Europe: Towards Structuring the European Research Area, by Angelos Amditis, Ioannis Karaseitanidis, Irene Mantzouranis
• Virtual Reality Technology - An Overview, by Roland Blach
• A Concept for a Multipurpose, Multi-Modal Interface for Product Engineering Applications, by Doru Talaba
• SELECTED CONTRIBUTIONS
• Single Chart Parameterization of Triangle Meshes, by Fabio Rossi and Massimo Bergamasco
• A Novel Acoustic Tracking System for Virtual Reality Systems, by Ioannis Karaseitanidis
• Virtual Reality-Based Environments for Learning and Training, by Dorin Mircea Popovici and Ana-Maria Marhan
• Chapter 2
• HAPTIC SYSTEMS
• INVITED LECTURES
• Advanced Haptic Systems for Virtual Reality, by Antonio Frisoli, Massimo Bergamasco and Emanuele Ruffaldi
• Fully-Isotropic Parallel Mechanisms - An Innovative Concept for Haptic Devices, by Grigore Gogu
• Collision Detection as a Fundamental Technology in VR Based Product Engineering, by Gabriel Zachmann
• SELECTED CONTRIBUTIONS
• The Feel of Virtual Mechanisms, by Daniela Constantinescu
• A Wired Haptic System for Multimodal VR Interaction, by Tiberiu Butnaru, Csaba Antonya and Doru Talaba
• Haptic Feedback Generation for a Direction Indicator Switch, by Hunor Erdelyi, Csaba Antonya and Doru Talaba
• Chapter 3
• VIRTUAL REALITY AIDED DESIGN
• INVITED LECTURES
• Virtual Reality Aided Design. A survey of the use of VR in automotive industry, by Peter Zimmermann
• Concept, Framework and Resources of a Proactive Reality Environment. Combining artificial cognition with interactive instruments, by Imre Horvath
• Virtual Reality: which Contribution for Machine Design, by Pascal Ray and Cristophe Bascoul
• SELECTED CONTRIBUTIONS
• VR Interaction for CAD Basic Tasks Using Rumble Feedback Input: Experimental Study, by Michele Fiorentino, Antonio E. Uva, GiuseppeMonno
• Investigation of the Scope of Support Provided by Holographic Displays in Conceptual Design, by Eliab Opiyo, Imre Horvath and Zoltan Rusak
• Using Hand Motions in Conceptual Shape Design: Theories, Methods and Tools, by Edit Varga
• Software Module for Data Exchange Between AutoCAD and a Virtual Reality System, by Gheorghe Oancea, Florin Girbacia and Anisor Nedelcu
• Chapter 4
• VIRTUAL TESTING AND PROTOTYPING
• INVITED LECTURES
• Breakthrough Technologies for Virtual Prototyping of Automotive and Aerospace Structures, by Herman Van der Auweraer, Stijn Donders, Peter Mas and Karl Janssens
• Examples for Modelling, Simulation and Visualization with the Discrete Element Method in Mechanical Engineering, by Florian Fleissner and Peter Eberhard
• SELECTED CONTRIBUTIONS
• Virtual Prototypes for Uncertainty and Variability-Based Product Engineering, by Roberto d'Ippolito, Stijn Donders and Herman Van der Auweraer
• Virtual and Real Testing of Products, by Sebastian Sisca, Gheorghe Mogan and Kevin Subrin
• Manipulation of Mechanisms in Virtual Environment, by Csaba Antonya, Tiberiu Butnaru and Doru Talaba
• CAD-CAE Models Library for Pre-Surgery Planning, by Mircea Dreucean
• Chapter 5
• VIRTUAL MANUFACTURING
• INVITED LECTURES
• Automated Design Analysis, Assembly Planning and Motion Study Analysis Using Immersive Virtual Reality, by James M. Ritchie, Raymond C.W. Sung, Graham Robinson, Philip N. Day, Richard G. Dewar, Jonathan R. Corney, John E.L. Simmons
• The Analysis of Design and Manufacturing Tasks Using Haptic and Immersive VR - Some Case Studies, by James M. Ritchie, Theodore Lim, R.S. Sung, Jonathan. R. Corney, H. Rea
• SELECTED CONTRIBUTIONS
• Implementing Real Time Grasping Simulation Based on Anthropometric Data. A work in progress report, by Zoltan Rusak, Csaba Antonya, Wilfred van der Vegte and Imre Horvath
• Developing Grasping Pre-Shaping in Virtual Environment based on Real Object Shape Analysis, by Alexandru Itu, Andreea.
• (source: Nielsen Book Data)

This book contains an edited version of the lectures and selected contributions presented during the Advanced Summer Institute (ASI) on "Product Engineering: Tools and Methods based on Virtual Reality" held at Chania (Greece), 30th May - 6th June 2007. The ASI was devoted to the Product Engineering field, with particular attention being given to the aspects related to Virtual Reality (VR) technologies, and their use and added value in engineering.
(source: Nielsen Book Data)

• Fundamental Concepts
• Fuzzy Ideals of Semirings
• Fuzzy Subsemimodules over Semirings
• Fuzzy k-Ideals of Semirings
• Fuzzy Quasi-ideals and Fuzzy Bi-ideals in Semirings
• ([epsilon], [epsilon] V {macr}q)-Fuzzy Ideals in Semirings
• ([bar epsilon], [bar epsilon] V {macr}q) -- Fuzzy Ideals in Semirings
• Fuzzy Ideals with Thresholds
• On Fuzzy LD-Bigroupoids
• Semiring Parsing
• Coverings and Decompositions of Semiring-Weighted Finite Transition Systems.

• Fundamental Concepts
• Fuzzy Ideals of Semirings
• Fuzzy Subsemimodules over Semirings
• Fuzzy k-Ideals of Semirings
• Fuzzy Quasi-ideals and Fuzzy Bi-ideals in Semirings
• (ε, ε Vq Fuzzy Ideals in Semirings
• (ε̄, ε̄ Vq̄ Fuzzy Ideals in Semirings
• Fuzzy Ideals with Thresholds
• On Fuzzy LD-Bigroupoids
• Semiring Parsing
• Coverings and Decompositions of Semiring-Weighted Finite Transition Systems.

The purpose of this book is to present an up to date account of fuzzy ideals of a semiring. The book concentrates on theoretical aspects and consists of eleven chapters including three invited chapters. Among the invited chapters, two are devoted to applications of Semirings to automata theory, and one deals with some generalizations of Semirings. This volume may serve as a useful hand book for graduate students and researchers in the areas of Mathematics and Theoretical Computer Science.

• M−Polar Fuzzy Sets and m−Polar Fuzzy Graphs
• Certain Types of m−Polar Fuzzy Graphs
• Certain Metrics in m− Polar Fuzzy Graphs
• m−Polar Fuzzy Labeling Graphs
• Certain Dominations in m−Polar Fuzzy Graphs
• m−polar Fuzzy Concept Lattice
• m−Polar Fuzzy Graph Structures
• m−Polar Fuzzy Hypergraphs
• m−Polar Fuzzy Matroids.

This book provides readers with an introduction to m-polar fuzzy graphs and m-polar fuzzy hypergraphs, covering both theories and applications. A special emphasis is given to m-polar fuzzy graphs at the aim of filling a gap in the literature, namely the absence of a mathematical approach to analyze multi-index, multipolar, and multi-attribute data. The book describes metrics and labeling in m-polar graphs, m-polar fuzzy matroids. It also discusses in detail important applications in decision-making problems and imaging processing. The book is expected to stimulate the curiosity of mathematics, computer scientists, and social scientists alike, and to provide both students and researchers with the necessary knowledge to understand and apply m−polar fuzzy graph theory.

• Introduction
• Number Systems
• Algebraic Equations
• Scalar Calculus
• Vector Calculus.

This state of the art book takes an applications based approach to teaching mathematics to engineering and applied sciences students. The book lays emphasis on associating mathematical concepts with their physical counterparts, training students of engineering in mathematics to help them learn how things work. The book covers the concepts of number systems, algebra equations and calculus through discussions on mathematics and physics, discussing their intertwined history in a chronological order. The book includes examples, homework problems, and exercises. This book can be used to teach a first course in engineering mathematics or as a refresher on basic mathematical physics. Besides serving as core textbook, this book will also appeal to undergraduate students with cross-disciplinary interests as a supplementary text or reader.

• Basic Equations of Macroscopic Systems. Introduction to Numerical Methods. Steady-state Systems. Dissipative Systems. Nondissipative Systems. High-order, Nonlinear, and Coupled Systems. Appendix: Summary of Vector and Tensor Analysis. Index.
• (source: Nielsen Book Data)

A unified approach to numerical modelling which integrates aspects of continuum mechanics, differential equations, and numerical analysis, is presented in this book. The text is an explanation how to formulate a mathematical description of the phenomena under consideration, devise techniques for solving the governing equations, then refine the model and interpret the results. Emphasis is put on physical applications, and the three major classes of partial differential equations - elliptic, parabolic and hyperbolic - are related to steady-state systems, dissipative systems, and nondissipative systems, respectively. Some higher-order equations, nonlinear equations, and coupled systems of equations are also examined.
(source: Nielsen Book Data)

• Vector Spaces
• Plane And Straight Line In E
• Linear Transformations
• Euclidean Vector Spaces
• Bilinear And Quadratic Forms
• Differential Geometry Of Curves And Surfaces.

"Intelligent Routines II: Solving Linear Algebra and Differential Geometry with Sage" contains numerous of examples and problems as well as many unsolved problems. This book extensively applies the successful software Sage, which can be found free online http://www.sagemath.org/. Sage is a recent and popular software for mathematical computation, available freely and simple to use. This book is useful to all applied scientists in mathematics, statistics and engineering, as well for late undergraduate and graduate students of above subjects. It is the first such book in solving symbolically with Sage problems in Linear Algebra and Differential Geometry. Plenty of SAGE applications are given at each step of the exposition.

Never has humble paper had such radical ambitions. Defying every expectation of what a book can be, this pop-up extravaganza transforms into sixfully functional tools: a real working planetarium projecting the constellations, a musical instrument complete with strings for strumming, a geometric drawing generator, an infinite calendar, a message decoder, and even a speaker that amplifies sound. Artist Kelli Anderson contributes enlightening text alongside each pop-up, explaining the scientific principles at play in her constructions and creating an interactive experience that's as educational as it is extraordinary. Inspiring awe that lasts long after the initial pop, This Book Is a Planetarium leaves readers of all ages with a renewed appreciation for the way things work-and for the enduring magic of books.
(source: Nielsen Book Data)

• Preface to the Second Edition. Foreword by Bruce Schneier. Preface. Acknowledgments. Part I.
• Chapter 1 What Is Security Engineering?
• Chapter 2 Usability and Psychology.
• Chapter 3 Protocols.
• Chapter 4 Access Control.
• Chapter 5 Cryptography.
• Chapter 6 Distributed Systems.
• Chapter 7 Economics. Part II.
• Chapter 8 Multilevel Security.
• Chapter 9 Multilateral Security.
• Chapter 10 Banking and Bookkeeping.
• Chapter 11 Physical Protection.
• Chapter 12 Monitoring and Metering.
• Chapter 13 Nuclear Command and Control.
• Chapter 14 Security Printing and Seals.
• Chapter 15 Biometrics.
• Chapter 16 Physical Tamper Resistance.
• Chapter 17 Emission Security.
• Chapter 18 API Attacks.
• Chapter 19 Electronic and Information Warfare.
• Chapter 20 Telecom System Security.
• Chapter 21 Network Attack and Defense.
• Chapter 22 Copyright and DRM.
• Chapter 23 The Bleeding Edge. Part III.
• Chapter 24 Terror, Justice and Freedom.
• Chapter 25 Managing the Development of Secure Systems.
• Chapter 26 System Evaluation and Assurance.
• Chapter 27 Conclusions. Bibliography. Index.
• (source: Nielsen Book Data)

The world has changed radically since the first edition of this book was published in 2001. Spammers, virus writers, phishermen, money launderers, and spies now trade busily with each other in a lively online criminal economy and as they specialize, they get better. In this indispensable, fully updated guide, Ross Anderson reveals how to build systems that stay dependable whether faced with error or malice. Here's straight talk on critical topics such as technical engineering basics, types of attack, specialized protection mechanisms, security psychology, policy, and more.
(source: Nielsen Book Data)

• Cover; Contents; Front Matter; Title Page; Publisher Information; Dedication; Hell on Earth; Introduction; The Initial Quake; The Tsunami; The Nuclear Power Plant; Deaths And Casualties; Relief Efforts; Economic Effect Of The Disaster On Japan; Economic Effect Of The Disaster On The Global Economy; What Causes An Earthquake?; What Causes A Tsunami?; Previous Earthquakes In Japan; The World's Ten Worst Earthquakes; About The Author; Also Available.

On the 11th March 2011, a massive earthquake hit the Pacific Ocean near to North-Eastern Japan. Soon afterwards, a devestating tsunami followed. This quick-read guide written by Paul Andrews gives the reader an overview an explanation of the events in easy-to-understand plain English. With sections including the nuclear crisis, the effect of the disaster on Japan's - and the global - economy, and information about what causes an earthquake and a tsunami, this is a concise guide to the shocki.

• Introduction.- Part I: Theoretical Background.- Brief Introduction to Statistical Machine Learning.- Brief Introduction to Computational Intelligence.- Part II: Theoretical Fundamentals of the Proposed Approach.- Empirical Approach - Introduction.- Empirical Fuzzy Sets and Systems.- Anomaly Detection - Empirical Approach.- Data Partitioning - Empirical Approach.- Autonomous Learning Multi-Model Systems.- Transparent Deep Rule-Based Classifiers.- Part III: Applications of the Proposed Approach.- Applications of Autonomous Anomaly Detection.
• (source: Nielsen Book Data)

This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today's data-driven world. After an introduction to the fundamentals, the book discusses in depth anomaly detection, data partitioning and clustering, as well as classification and predictors. It describes classifiers of zero and first order, and the new, highly efficient and transparent deep rule-based classifiers, particularly highlighting their applications to image processing. Local optimality and stability conditions for the methods presented are formally derived and stated, while the software is also provided as supplemental, open-source material. The book will greatly benefit postgraduate students, researchers and practitioners dealing with advanced data processing, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems. It can also be used as a textbook for postgraduate coursework; for this purpose, a standalone set of lecture notes and corresponding lab session notes are available on the same website as the code. Dimitar Filev, Henry Ford Technical Fellow, Ford Motor Company, USA, and Member of the National Academy of Engineering, USA: "The book Empirical Approach to Machine Learning opens new horizons to automated and efficient data processing." Paul J. Werbos, Inventor of the back-propagation method, USA: "I owe great thanks to Professor Plamen Angelov for making this important material available to the community just as I see great practical needs for it, in the new area of making real sense of high-speed data from the brain." Chin-Teng Lin, Distinguished Professor at University of Technology Sydney, Australia: "This new book will set up a milestone for the modern intelligent systems." Edward Tunstel, President of IEEE Systems, Man, Cybernetics Society, USA: "Empirical Approach to Machine Learning provides an insightful and visionary boost of progress in the evolution of computational learning capabilities yielding interpretable and transparent implementations.".
(source: Nielsen Book Data)