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    A Practical Guide to Sentiment Analysis [[electronic resource] /] : монография / ed. Cambria, Erik. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - VII, 196 p. 16 illus., 7 illus. in color. - Б. ц.
    Зміст:
Preface --
Affective Computing and Sentiment Analysis --
Many Facets of Sentiment Analysis --
Reflections on Sentiment/Opinion Analysis --
Challenges in Sentiment Analysis --
Sentiment Resources: Lexicons and Datasets --
Generative Models for Sentiment Analysis and Opinion Mining --
Social Media Summarization --
Deception Detection and Opinion Spam --
Concept-Level Sentiment Analysis with SenticNet --
Index.
Рубрики: Medicine.
   Information storage and retrieval.
   Applied linguistics.
   Applied mathematics.
   Engineering mathematics.
   User interfaces (Computer systems).
   Statistics .
   Biomedicine, general.
   Information Storage and Retrieval.
   Applied Linguistics.
   Mathematical and Computational Engineering.
   User Interfaces and Human Computer Interaction.
   Statistics and Computing/Statistics Programs.
Анотація: This edited work presents studies and discussions that clarify the challenges and opportunities of sentiment analysis research. While sentiment analysis research has become very popular in the past ten years, most companies and researchers still approach it simply as a polarity detection problem. In reality, sentiment analysis is a ‘suitcase problem’ that requires tackling many natural language processing subtasks, including microtext analysis, sarcasm detection, anaphora resolution, subjectivity detection and aspect extraction. In this book, the authors propose an overview of the main issues and challenges associated with current sentiment analysis research and provide some insights on practical tools and techniques that can be exploited to both advance the state of the art in all sentiment analysis subtasks and explore new areas in the same context. Readers will discover sentiment mining techniques that can be exploited for the creation and automated upkeep of review and opinion aggregation websites, in which opinionated text and videos are continuously gathered from the Web and not restricted to just product reviews, but also to wider topics such as political issues and brand perception. The book also enables researchers to see how affective computing and sentiment analysis have a great potential as a sub-component technology for other systems. They can enhance the capabilities of customer relationship management and recommendation systems allowing, for example, to find out which features customers are particularly happy about or to exclude from the recommendations items that have received very negative feedbacks. Similarly, they can be exploited for affective tutoring and affective entertainment or for troll filtering and spam detection in online social communication.

Перейти: https://doi.org/10.1007/978-3-319-55394-8

Дод.точки доступу:
Cambria, Erik. \ed.\; Das, Dipankar. \ed.\; Bandyopadhyay, Sivaji. \ed.\; Feraco, Antonio. \ed.\; SpringerLink (Online service)
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    Multiple Criteria Decision Making [[electronic resource] :] : applications in Management and Engineering / / ed.: Zopounidis, Constantin., Doumpos, Michael. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 211 p. 9 illus., 8 illus. in color. - Б. ц.
    Зміст:
Decision aid in public administration: from evidence-based decision making to organizational learning --
Measuring Social Responsibility: A Multicriteria Approach --
Multicritia Decision Analysis for Financial Investments Using AHP --
Financing Innovative SMEs --
A Multi-criteria Recommender System based on users’ Profile Management --
E-commerce in the Context of Protected Areas Development: A Managerial Perspective under a Multi-criteria Approach --
Solving a Multicriteria Road Design Problem: A Practical Example --
Locating Ship-to-Ship (STS) Transfer Operations via Multi-Criteria Decision Analysis (MCDA): A Case Study --
MCDM applied to the partitioning problem of 3D-stacked integrated circuits --
A MCDA-based approach for evaluating alternative requalification strategies for a net-Zero Energy District (nZED).
Рубрики: Operations research.
   Decision making.
   Management science.
   Applied mathematics.
   Engineering mathematics.
   Operations Research/Decision Theory.
   Operations Research, Management Science.
   Mathematical and Computational Engineering.
Анотація: This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

Перейти: https://doi.org/10.1007/978-3-319-39292-9

Дод.точки доступу:
Zopounidis, Constantin. \ed.\; Doumpos, Michael. \ed.\; SpringerLink (Online service)
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    Proceedings of the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017) [[electronic resource] /] : монография / ed. Mason, Paul. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 381 p. 200 illus. - Б. ц.
    Зміст:
An Attempt to Integrate Software Tools at Microscale and Above Towards an ICME Approach for Heat Treatment of a DP Steel Gear with Reduced Distortion --
Integrated Microstructure based Modelling of Process-Chain for Cold Rolled Dual Phase Steels --
Improving Manufacturing Quality using Integrated Computational Materials Engineering --
ICME Based Hierarchical Design Using Composite Materials for Automotive Structures --
Towards Bridging the Data Exchange Gap Between Atomistic Simulations and Larger Scale Models --
A Flowchart Scheme for Information Retrieval in ICME settings --
An Ontological Framework for Integrated Computational Materials Engineering --
European Materials Modelling Council --
Facilitating ICME through Platformization --
Bridging the Gap between Bulk Properties and Confined Behavior using Finite Element Analysis --
Ontology Dedicated to Knowledge-driven Optimization for ICME Approach --
Integration of Experiments and Simulations to Build Material Big-Data --
ICME-based Process and Alloy Design for Vacuum Carburized Steel Components with High Potential of Reduced Distortion --
Study of Transient Behavior of Slag Layer in Bottom Purged Ladle: A CFD Approach --
Developing Cemented Carbides through ICME --
CSUDDCC2: An Updated Diffusion Database for Cemented Carbides --
Multi-Scale Modeling of Quasi-Directional Solidification of a Cast Si-rich Eutectic Alloy --
Numerical Simulation of Macrosegregation in a 535 Tons Steel Ingot with a Multicomponent-Multiphase Model --
Validation of CAFE Model with Experimental Macroscopic Grain Structures in a 36-ton Steel Ingot --
Analysis of Localized Plastic Strain in Heterogeneous Cast Iron Microstructures using 3D Finite Element Simulations --
An Integrated Solidification and Heat Treatment Models for Predicting Mechanical Properties of Cast Aluminum Alloy Component --
Linked Heat Treatment and Bending Simulation of Aluminum Tailored Heat Treated Profiles --
Numerical Simulation of Meso-micro structure in Ni-based Superalloy during Liquid Metal Cooling Process --
Multiscale Simulation of \\945-Mg dendrite growth via 3D Phase Field Modeling and Ab-initio First Principle Calculations --
Macro- and Micro-simulation and Experiment Study on Microstructure and Mechanical Properties of Squeeze Casting Wheel of Magnesium Alloy --
Solidification Simulation of Fe-Cr-Ni-Mo-C Duplex Stainless Steel using CALPHAD-coupled Multi-phase-field Model with Finite Interface Dissipation --
Phase-field Modeling of ?’ Precipitation Kinetics in W319 Alloys --
Hybrid Hierarchical Model for Damage and Fracture Analysis in Heterogeneous Material --
Fatigue Performance Prediction of Structural Materials by Multi-Scale Modeling and Machine Learning --
Nano Simulation Study of Mechanical Property Parameter for Microstructure-based Multiscale Simulation --
Multiscale, Coupled Chemo-mechanical Modeling of Bainitic Transformation during Press Hardening --
Development of Microstructure-based Multiscale Simulation Process for Hot Rolling of Duplex Stainless Steel --
A Decision-Based Design Method to Explore the Solution Space for Microstructure after Cooling Stage to Realize the End Mechanical Properties of the Rolled Product --
Influence of Computational Grid and Deposit Volume on Residual Stress and Distortion Prediction Accuracy for Additive Manufacturing Modeling.
Рубрики: Materials science.
   Applied mathematics.
   Engineering mathematics.
   Engineering—Materials.
   Characterization and Evaluation of Materials.
   Mathematical and Computational Engineering.
   Materials Engineering.
Анотація: This book represents a collection of papers presented at the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), a specialty conference organized by The Minerals, Metals & Materials Society (TMS). The contributions offer topics relevant to the global advancement of ICME as an engineering discipline. Topics covered include the following: ICME Success Stories and Applications Verification, Validation, Uncertainty Quantification Issues and Gap Analysis Integration Framework and Usage Additive Manufacturing Phase Field Modeling Microstructure Evolution ICME Design Tools and Application Mechanical Performance Using Multi-Scale Modeling.

Перейти: https://doi.org/10.1007/978-3-319-57864-4

Дод.точки доступу:
Mason, Paul. \ed.\; Fisher, Charles R. \ed.\; Glamm, Ryan. \ed.\; Manuel, Michele V. \ed.\; Schmitz, Georg J. \ed.\; Singh, Amarendra K. \ed.\; Strachan, Alejandro. \ed.\; SpringerLink (Online service)
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    Biner, S. Bulent.
    Programming Phase-Field Modeling [[electronic resource] /] : монография / S. Bulent. Biner ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 400 p. 73 illus., 69 illus. in color. - Б. ц.
    Зміст:
An overview of the Phase-Field Method and Its Formulism --
Introduction to numerical solution of Partial Differential Equations --
Preliminaries about the codes --
Solving Phase-Field models with finite difference algorithm --
Solving phase-field model with Fourier spectral methods --
Solving phase-field equations with finite element method --
Phase-field crystal modeling of material behavior --
Concluding remarks.
Рубрики: Materials science.
   Engineering—Materials.
   Applied mathematics.
   Engineering mathematics.
   Physics.
   Microbiology.
   Characterization and Evaluation of Materials.
   Materials Engineering.
   Mathematical and Computational Engineering.
   Numerical and Computational Physics, Simulation.
   Microbiology.
Анотація: This textbook provides a fast-track pathway to numerical implementation of phase-field modeling—a relatively new paradigm that has become the method of choice for modeling and simulation of microstructure evolution in materials. It serves as a cookbook for the phase-field method by presenting a collection of codes that act as foundations and templates for developing other models with more complexity. Programming Phase-Field Modeling uses the Matlab/Octave programming package, simpler and more compact than other high-level programming languages, providing ease of use to the widest audience. Particular attention is devoted to the computational efficiency and clarity during development of the codes, which allows the reader to easily make the connection between the mathematical formulism and the numerical implementation of phase-field models. The background materials provided in each case study also provide a forum for undergraduate level modeling-simulations courses as part of their curriculum. Emphasizes the numerical aspects of phase-field modeling; Explains both the underlying physics and formulism of phase-field modeling; Reinforces reader understanding with a collection of algorithms; Adopts a cross-disciplinary approach to PFM relevant to students of engineering, physics, biology, and other disciplines concerned with microstructure evolution and solutions to interfacial problems; Includes all necessary source code, downloadable from the publisher.

Перейти: https://doi.org/10.1007/978-3-319-41196-5

Дод.точки доступу:
Biner, S. Bulent. \.\; SpringerLink (Online service)
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    Tyagi, Vipin.
    Content-Based Image Retrieval [[electronic resource] :] : ideas, Influences, and Current Trends / / Vipin. Tyagi ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXXIV, 378 p. 134 illus., 73 illus. in color. - Б. ц.
    Зміст:
Chapter 1. Introduction to Image Retrieval --
Chapter 2. Image Features --
Chapter 3. Content-based Multimedia Information Retrieval: State-of-the-art and Challenges --
Chapter 4. Images Matching through Region-based Similarity Technique --
Chapter 5. Visual Features In Image Retrieval Through CBIR --
Chapter 6. Content based Image Retrieval --
Chapter 7. Mathematical Tools for Image Retrieval --
Chapter 8. Text based Image Retrieval --
Chapter 9. Content based Image Retrieval of Texture Images --
Chapter 10. Content based Image Retrieval of Natural Images --
Chapter 11. Color based Image Retrieval --
Chapter 12. Shape based Image Retrieval --
Chapter 13. Geographical image Based Retrieval --
Chapter 14. Query Processing Issues in Region-based Image Retrieval --
Chapter 15. Research Topics for Next Generation Content based Image Retrieval --
Bibliography --
Appendix A: Image Databases.
Рубрики: Optical data processing.
   Data structures (Computer science).
   Pattern recognition.
   Signal processing.
   Image processing.
   Speech processing systems.
   Computer science—Mathematics.
   Computer mathematics.
   Applied mathematics.
   Engineering mathematics.
   Image Processing and Computer Vision.
   Data Structures and Information Theory.
   Pattern Recognition.
   Signal, Image and Speech Processing.
   Mathematical Applications in Computer Science.
   Mathematical and Computational Engineering.
Анотація: The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Перейти: https://doi.org/10.1007/978-981-10-6759-4

Дод.точки доступу:
Tyagi, Vipin. \.\; SpringerLink (Online service)
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    Heredia Conde, Conde, Miguel.
    Compressive Sensing for the Photonic Mixer Device [[electronic resource] :] : fundamentals, Methods and Results / / Conde, Miguel. Heredia Conde ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXXIII, 496 p. 97 illus., 10 illus. in color. - Б. ц.
    Зміст:
Phase-Shift-Based Time-of-Flight Imaging Systems --
Fundamentals of Compressive Sensing --
High Resolution Characterization of PMD Pixels --
Compressive Sensing in Spatial and Time-Frequency Domains --
CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device.
Рубрики: Optical data processing.
   Data structures (Computer science).
   Applied mathematics.
   Engineering mathematics.
   Computer Imaging, Vision, Pattern Recognition and Graphics.
   Data Structures and Information Theory.
   Mathematical and Computational Engineering.
Анотація: Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement. Contents Phase-Shift-Based Time-of-Flight Imaging Systems Fundamentals of Compressive Sensing High Resolution Characterization of PMD Pixels Compressive Sensing in Spatial and Time-Frequency Domains CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device Target Groups Lecturers and students of computer science, electronic engineering and robotics Researchers and trainees working in application areas where depth sensing is required The Author Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).

Перейти: https://doi.org/10.1007/978-3-658-18057-7

Дод.точки доступу:
Heredia Conde, Miguel. \.\; SpringerLink (Online service)
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    Beebe, Nelson H. F.
    The Mathematical-Function Computation Handbook [[electronic resource] :] : programming Using the MathCW Portable Software Library / / Nelson H. F. Beebe ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXXVI, 1115 p. - Б. ц.
    Зміст:
Introduction --
Iterative Solutions and Other Tools --
Polynomial Approximations --
Implementation Issues --
The Floating-Point Environment --
Converting Floating-Point Values to Integers --
Random Numbers --
Roots --
Argument Reduction --
Exponential and Logarithm --
Trigonometric Functions --
Hyperbolic Functions --
Pair-Precision Arithmetic --
Power Function --
Complex Arithmetic Primitives --
Quadratic Equations --
Elementary Functions in Complex Arithmetic --
The Greek Functions: Gamma, Psi, and Zeta --
Error and Probability Functions --
Elliptic Integral Functions --
Bessel Functions --
Testing the Library --
Pair-Precision Elementary Functions --
Accuracy of the Cody/Waite Algorithms --
Improving Upon the Cody/Waite Algorithms --
Floating-Point Output --
Floating-Point Input --
Appendix A: Ada Interface --
Appendix B: C# Interface --
Appendix C: C++ Interface --
Appendix D: Decimal Arithmetic --
Appendix E: Errata in the Cody/Waite Book --
Appendix F: Fortran Interface --
Appendix H: Historical Floating-Point Architectures --
Appendix I: Integer Arithmetic --
Appendix J: Java Interface --
Appendix L: Letter Notation --
Appendix P: Pascal Interface.
Рубрики: Computer science—Mathematics.
   Applied mathematics.
   Engineering mathematics.
   Physics.
   Chemoinformatics.
   Numerical analysis.
   Mathematics of Computing.
   Mathematical and Computational Engineering.
   Numerical and Computational Physics, Simulation.
   Computer Applications in Chemistry.
   Numerical Analysis.
Анотація: All major computer programming languages—as well as the disciplines of science and engineering more broadly—require computation of elementary and special functions of mathematics. The MathCW Software Library emphasizes portability, precisely because the code needs to capable of use on a wide variety of platforms. This highly comprehensive handbook provides a substantial advance in such computation, extending the function coverage of major programming languages well beyond their international standards, including full support for decimal floating-point arithmetic. Written with clarity and focusing on the C language, the work pays extensive attention to little-understood aspects of floating-point and integer arithmetic, and to software portability, as well as to important historical architectures. It extends support to a future 256-bit, floating-point format offering 70 decimal digits of precision. Select Topics and Features: references an exceptionally useful, author-maintained MathCW website, containing source code for the book’s software, compiled libraries for numerous systems, pre-built C compilers, and other related materials offers a unique approach to covering mathematical-function computation using decimal arithmetic provides extremely versatile appendices for interfaces to numerous other languages: Ada, C#, C++, Fortran, Java, and Pascal presupposes only basic familiarity with computer programming in a common language, as well as early level algebra supplies a library that readily adapts for existing scripting languages, with minimal effort supports both binary and decimal arithmetic, in up to 10 different floating-point formats covers a significant portion (with highly accurate implementations) of the U.S National Institute of Standards and Technology’s 10-year project to codify mathematical functions This highly practical text/reference is an invaluable tool for advanced undergraduates, recording many lessons of the intermingled history of computer hardware and software, numerical algorithms, and mathematics. In addition, professional numerical analysts and others will find the handbook of real interest and utility because it builds on research by the mathematical software community over the last four decades.

Перейти: https://doi.org/10.1007/978-3-319-64110-2

Дод.точки доступу:
Beebe, Nelson H.F. \.\; SpringerLink (Online service)
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    Rahman, Md. Saidur.
    Basic Graph Theory [[electronic resource] /] : монография / Md. Saidur. Rahman ; . - 1st ed. 2017. - [S. l. : s. n.]. - X, 169 p. 147 illus. - Б. ц.
    Зміст:
Preface --
Graphs and Their Applications --
Basic Graph Terminologies --
Paths, Cycles and Connectivity’s --
Trees --
Matching and Covering --
Planar Graphs --
Graph Coloring --
Digraphs --
Special Classes of Graphs --
Some Research Topics --
Index.
Рубрики: Computer science—Mathematics.
   Graph theory.
   Applied mathematics.
   Engineering mathematics.
   Discrete Mathematics in Computer Science.
   Graph Theory.
   Mathematical and Computational Engineering.
Анотація: This undergraduate textbook provides an introduction to graph theory, which has numerous applications in modeling problems in science and technology, and has become a vital component to computer science, computer science and engineering, and mathematics curricula of universities all over the world. The author follows a methodical and easy to understand approach. Beginning with the historical background, motivation and applications of graph theory, the author first explains basic graph theoretic terminologies. From this firm foundation, the author goes on to present paths, cycles, connectivity, trees, matchings, coverings, planar graphs, graph coloring and digraphs as well as some special classes of graphs together with some research topics for advanced study. Filled with exercises and illustrations, Basic Graph Theory is a valuable resource for any undergraduate student to understand and gain confidence in graph theory and its applications to scientific research, algorithms and problem solving.

Перейти: https://doi.org/10.1007/978-3-319-49475-3

Дод.точки доступу:
Rahman, Md. Saidur. \.\; SpringerLink (Online service)
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    Lee, Kent D.
    Foundations of Programming Languages [[electronic resource] /] : монография / Kent D. Lee ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XIV, 370 p. 189 illus., 39 illus. in color. - Б. ц.
    Зміст:
Introduction --
Syntax --
Assembly Language --
Object-Oriented Programming --
Functional Programming --
Compiling Standard ML --
Logic Programming --
Standard ML Type Inference --
Appendix A: The JCoCo Virtual Machine Specification --
Appendix B: The Standard ML Basis Library.
Рубрики: Programming languages (Electronic computers).
   Microprogramming .
   Applied mathematics.
   Engineering mathematics.
   Programming Languages, Compilers, Interpreters.
   Control Structures and Microprogramming.
   Mathematical and Computational Engineering.
Анотація: This clearly written textbook provides an accessible introduction to the three programming paradigms of object-oriented/imperative, functional, and logic programming. Highly interactive in style, the text encourages learning through practice, offering test exercises for each topic covered. Review questions and programming projects are also presented, to help reinforce the concepts outside of the classroom. This updated and revised new edition features new material on the Java implementation of the JCoCo virtual machine. Topics and features: Includes review questions and solved practice exercises, with supplementary code and support files available from an associated website Presents an historical perspective on the models of computation used in implementing the programming languages used today Provides the foundations for understanding how the syntax of a language is formally defined by a grammar Illustrates how programs execute at the level of assembly language, through the implementation of a stack-based Python virtual machine called JCoCo and a Python disassembler Introduces object-oriented languages through examples in Java, functional programming with Standard ML, and programming using the logic language Prolog Describes a case study involving the development of a compiler for the high level functional language Small, a robust subset of Standard ML Undergraduate students of computer science will find this engaging textbook to be an invaluable guide to the skills and tools needed to become a better programmer. While the text assumes some background in an imperative language, and prior coverage of the basics of data structures, the hands-on approach and easy to follow writing style will enable the reader to quickly grasp the essentials of programming languages, frameworks, and architectures. Dr. Kent D. Lee is Professor of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer textbooks Python Programming Fundamentals and Data Structures and Algorithms with Python.

Перейти: https://doi.org/10.1007/978-3-319-70790-7

Дод.точки доступу:
Lee, Kent D. \.\; SpringerLink (Online service)
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10.

    Luckehe, Daniel.
    Evolutionary Wind Turbine Placement Optimization with Geographical Constraints [[electronic resource] /] : монография / Daniel. Luckehe ; . - 1st ed. 2017. - [S. l. : s. n.]. - XXII, 195 p. 64 illus., 15 illus. in color. - Б. ц.
    Зміст:
Solving Optimization Problems --
Wind Prediction Model --
Geographical Planning Scenarios --
Constrained Placement Optimization --
Constraint Handling with Penalty Functions --
Advanced Evolutionary Heuristics.
Рубрики: Artificial intelligence.
   Sustainable development.
   Applied mathematics.
   Engineering mathematics.
   Artificial Intelligence.
   Sustainable Development.
   Mathematical and Computational Engineering.
Анотація: Daniel Luckehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices. As a matter of fact, wind turbines play an important role towards green energy supply. An optimal location is essential to achieve the highest possible energy efficiency. Contents Solving Optimization Problems Wind Prediction Model Geographical Planning Scenarios Constrained Placement Optimization Constraint Handling with Penalty Functions Advanced Evolutionary Heuristics Target Groups Lecturers and students of computer science, especially in optimization methods and renewable energies Natural scientists interested in advanced heuristics The Author Dr. Daniel Luckehe defended his PhD thesis in the PhD program “System Integration of Renewable Energy” at the Carl von Ossietzky University in Oldenburg, Germany. As postdoctoral researcher he conducts research in computational health informatics at the Leibnitz University in Hanover, Germany.

Перейти: https://doi.org/10.1007/978-3-658-18465-0

Дод.точки доступу:
Luckehe, Daniel. \.\; SpringerLink (Online service)
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11.

    Smart Economy in Smart Cities [[electronic resource] :] : international Collaborative Research: Ottawa, St.Louis, Stuttgart, Bologna, Cape Town, Nairobi, Dakar, Lagos, New Delhi, Varanasi, Vijayawada, Kozhikode, Hong Kong / / ed. Vinod Kumar, T. M. - 1st ed. 2017. - [S. l. : s. n.]. - XXXIX, 1086 p. 348 illus., 308 illus. in color. - Б. ц.
    Зміст:
Smart Economy in Smart Cities --
Jaipur, India Studies --
Hyderabad, India Studies --
Calicut (Kozhikode) India studies --
Bangkok, Thailand studies --
Honking 2nd CBD China studies --
Stuttgart Germany Studies --
Unspecified Greece city studies --
Bologna Italy studies --
Unspecified US Cities studies --
Unspecified Canadian city studies --
Summary of Conclusion.
Рубрики: Regional planning.
   Urban planning.
   Applied mathematics.
   Engineering mathematics.
   Architecture.
   Sustainable development.
   Physical geography.
   Climate change.
   Landscape/Regional and Urban Planning.
   Mathematical and Computational Engineering.
   Cities, Countries, Regions.
   Sustainable Development.
   Physical Geography.
   Climate Change/Climate Change Impacts.
Анотація: The present book highlights studies that show how smart cities promote urban economic development. The book surveys the state of the art of Smart City Economic Development through a literature survey. The book uses 13 in depth city research case studies in 10 countries such as the North America, Europe, Africa and Asia to explain how a smart economy changes the urban spatial system and vice versa. This book focuses on exploratory city studies in different countries, which investigate how urban spatial systems adapt to the specific needs of smart urban economy. The theory of smart city economic development is not yet entirely understood and applied in metropolitan regional plans. Smart urban economies are largely the result of the influence of ICT applications on all aspects of urban economy, which in turn changes the land-use system. It points out that the dynamics of smart city GDP creation takes ‘different paths,’ which need further empirical study, hypothesis testing and mathematical modelling. Although there are hypotheses on how smart cities generate wealth and social benefits for nations, there are no significant empirical studies available on how they generate urban economic development through urban spatial adaptation. This book with 13 cities research studies is one attempt to fill in the gap in knowledge base. .

Перейти: https://doi.org/10.1007/978-981-10-1610-3

Дод.точки доступу:
Vinod Kumar, T. M. \ed.\; SpringerLink (Online service)
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12.

    Neidhardt, Alexander N. J.
    Applied Computer Science for GGOS Observatories [[electronic resource] :] : communication, Coordination and Automation of Future Geodetic Infrastructures / / Alexander N. J. Neidhardt ; . - 1st ed. 2017. - [S. l. : s. n.]. - XV, 546 p. 244 illus., 165 illus. in color. - Б. ц.
    Зміст:
Introduction --
Writing code for Scientific Software --
Using a code toolbox --
Controlling a Laser Ranging System --
Controlling a VLBI system from remote --
Coordination, communication and automation for the GGOS --
A Style Guide for Geodetic Software in C and C++ --
Precise telescope mount model parameters based on the least squares method.
Рубрики: Geophysics.
   Software engineering.
   Applied mathematics.
   Engineering mathematics.
   Observations, Astronomical.
   Astronomy—Observations.
   Geophysics/Geodesy.
   Software Engineering/Programming and Operating Systems.
   Mathematical and Computational Engineering.
   Astronomy, Observations and Techniques.
Анотація: This book combines elementary theory from computer science with real-world challenges in global geodetic observation, based on examples from the Geodetic Observatory Wettzell, Germany. It starts with a step-by-step introduction to developing stable and safe scientific software to run successful software projects. The use of software toolboxes is another essential aspect that leads to the application of generative programming. An example is a generative network middleware that simplifies communication. One of the book’s main focuses is on explaining a potential strategy involving autonomous production cells for space geodetic techniques. The complete software design of a satellite laser ranging system is taken as an example. Such automated systems are then combined for global interaction using secure communication tunnels for remote access. The network of radio telescopes is used as a reference. Combined observatories form coordinated multi-agent systems and offer solutions for operational aspects of the Global Geodetic Observing System (GGOS) with regard to “Industry 4.0”.

Перейти: https://doi.org/10.1007/978-3-319-40139-3

Дод.точки доступу:
Neidhardt, Alexander N.J. \.\; SpringerLink (Online service)
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13.

    Bala, Bilash Kanti.
    System Dynamics [[electronic resource] :] : modelling and Simulation / / Bilash Kanti. Bala, Arshad, Fatimah Mohamed., Noh, Kusairi Mohd. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 278 p. 176 illus., 131 illus. in color. - Б. ц.
    Зміст:
Part I: Concepts, Methodology and Techniques --
1: Introduction --
2: Systems Thinking: System Dynamics --
3: Causal Loop Diagrams --
4: Stock Flow Diagrams --
5: Parameter Estimation and Sensitivity Analysis --
6: Tests for Confidence Building --
7: Scenario Planning and Modelling --
Part II: Cases and applications --
8: Modelling of boom and bust of cocoa production systems in Malaysia --
9: Modeling of hilsafish (Tenulosa ilisha) population in Bangladesh --
11: Modeling of supply chain of rice milling systems in Bangladesh --
12: Modeling of solid waste management of Dhaka city in Bangladesh.
Рубрики: Agricultural economics.
   Mathematical models.
   Computer simulation.
   Applied mathematics.
   Engineering mathematics.
   Industrial organization.
   Agricultural Economics.
   Mathematical Modeling and Industrial Mathematics.
   Simulation and Modeling.
   Mathematical and Computational Engineering.
   Industrial Organization.
Анотація: This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.

Перейти: https://doi.org/10.1007/978-981-10-2045-2

Дод.точки доступу:
Arshad, Fatimah Mohamed.; Noh, Kusairi Mohd.; Bala, Bilash Kanti. \.\; SpringerLink (Online service)
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14.

    Zohuri, Bahman.
    Thermal-Hydraulic Analysis of Nuclear Reactors [[electronic resource] /] : монография / Bahman. Zohuri ; . - 2nd ed. 2017. - [S. l. : s. n.]. - XXVIII, 835 p. 453 illus., 173 illus. in color. - Б. ц.
    Зміст:
An Introduction to Thermal Hydraulic Aspects of Nuclear Power Reactors --
Thermodynamics --
Transport Properties --
General Conservation Equations --
Laminar Incompressible Forced Convection --
Turbulent Forced Convection --
Compressible Flow --
Conduction Heat Transfer --
Forced Convection Heat Transfer --
Natural or Free Convection --
Mass Transfer --
Thermal Radiation --
Multi-Phase Flow Dynamics --
Convective Boiling --
Thermal Stress --
Combined Cycle Driven Efficiency in Nuclear Power Plant --
Heat Exchangers --
Analysis of Reactor Accident --
Probabilistic Risk Assessment --
Nuclear Power Plants --
Nuclear Fuel Cycle --
The Economic Future of Nuclear Power --
Safety, Waste Disposal, Containment, and Accidentss --
Appendix A: Table and Graphs Compilations --
Appendix B: Physical Property Tables --
Appendix C: Units, Dimensions and Conversion Factors --
Appendix D: Physical Properties --
Appendix E: Fluid Property Data --
Appendix F: Basic Equations --
Index.
Рубрики: Nuclear energy.
   Thermodynamics.
   Heat engineering.
   Heat transfer.
   Mass transfer.
   Applied mathematics.
   Engineering mathematics.
   Fluid mechanics.
   Nuclear Energy.
   Engineering Thermodynamics, Heat and Mass Transfer.
   Mathematical and Computational Engineering.
   Engineering Fluid Dynamics.
Анотація: This revised text covers the fundamentals of thermodynamics required to understand electrical power generation systems and the application of these principles to nuclear reactor power plant systems. The book begins with fundamental definitions of units and dimensions, thermodynamic variables and the Laws of Thermodynamics progressing to sections on specific applications of the Brayton and Rankine cycles for power generation and projected reactor systems design issues. It is not a traditional general thermodynamics text, per se, but a practical thermodynamics volume intended to explain the fundamentals and apply them to the challenges facing actual nuclear power plants systems, where thermal hydraulics comes to play. There have been significant new findings for intercooled systems since the previous edition published and they will be included in this volume. New technology plans for using a Nuclear Air-Brayton as a storage system for a low carbon grid are presented along with updated component sizes and performance criteria for Small Modular Reactors. Written in a lucid, straight-forward style while retaining scientific rigor, the content is accessible to upper division undergraduate students and aimed at practicing engineers in nuclear power facilities and engineering scientists and technicians in industry, academic research groups, and national laboratories. The book is also a valuable resource for students and faculty in various engineering programs concerned with nuclear reactors. • Provides extensive coverage of thermal hydraulics with thermodynamics in nuclear reactors, from fundamentals to applications; • Reinforces fundamentals of fluid dynamics and heat transfer; thermal and hydraulic analysis of nuclear reactors, two-phase flow and boiling, compressible flow, stress analysis and energy conversion methods; • Includes detailed appendices that cover metric and English system units and conversions, detailed steam and gas tables, heat transfer properties and nuclear reactor system descriptions.

Перейти: https://doi.org/10.1007/978-3-319-53829-7

Дод.точки доступу:
Zohuri, Bahman. \.\; SpringerLink (Online service)
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15.

    Green IT Engineering: Components, Networks and Systems Implementation [[electronic resource] /] : монография / ed.: Kharchenko, Vyacheslav., Kondratenko, Yuriy., Kacprzyk, Janusz. - 1st ed. 2017. - [S. l. : s. n.]. - XIV, 355 p. 147 illus., 82 illus. in color. - Б. ц.
    Зміст:
Vedic Mathematics as Fast Algorithms in Green Computing for Internet of Things --
Technologies for Greener Internet of Things Systems --
Secure, Green Implementation of Modular Arithmetic Operations for IoT and Cloud Applications --
Green Cyber Physical Computing as Sustainable Development Model --
Data Collection for Environmental and Humanitarian Crisis Management --
Influence of software optimization on energy consumption of embedded systems --
Energy Efficiency of 4th Gen Intel ® Core ™ Processor vs 3rd Gen Intel ® Core ™ Processor --
Malicious Software Effect on the Mobile Devices Power Consumption --
Rational Intellectualization of the Aircraft Control: resources-saving safety improvement --
Resource and Energy Optimization Oriented Development of FPGA-Based Adaptive Logical Networks for Classification Problem --
Green Experiments with FPGA --
Green Logic: Green LUT FPGA Concepts, Models and Evaluations --
The Concept of Virtual Manufacturing Enterprise Operation as a Green Complex System --
Green-IT Approach to Design and Optimization of Thermoacoustic Waste Heat Utilization Plant Based on Soft Computing --
G. Resource-oriented approaches to implementation of traffic control technologies in safety-critical I&C systems --
Markov Models of Smart Grid Digital Substations Availability: Multi-Level Degradation and Recovery of Power Resources Issues.
Рубрики: Applied mathematics.
   Engineering mathematics.
   Renewable energy resources.
   Application software.
   Mathematical and Computational Engineering.
   Renewable and Green Energy.
   Information Systems Applications (incl. Internet).
Анотація: This book presents modern approaches to improving the energy efficiency, safety and environmental performance of industrial processes and products, based on the application of advanced trends in Green Information Technologies (IT) Engineering to components, networks and complex systems (software, programmable and hardware components, communications, Cloud and IoT-based systems, as well as IT infrastructures). The book’s 16 chapters, prepared by authors from Greece, Malaysia, Russia, Slovakia, Ukraine and the United Kingdom, are grouped into four sections: (1) The Green Internet of Things, Cloud Computing and Data Mining, (2) Green Mobile and Embedded Control Systems, (3) Green Logic and FPGA Design, and (4) Green IT for Industry and Smart Grids. The book will motivate researchers and engineers from different IT domains to develop, implement and propagate green values in complex systems. Further, it will benefit all scientists and graduate students pursuing research in computer science with a focus on green IT engineering.

Перейти: https://doi.org/10.1007/978-3-319-55595-9

Дод.точки доступу:
Kharchenko, Vyacheslav. \ed.\; Kondratenko, Yuriy. \ed.\; Kacprzyk, Janusz. \ed.\; SpringerLink (Online service)
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16.

    Ito, Yoshimi.
    Theory and Practice in Machining Systems [[electronic resource] /] : монография / Yoshimi. Ito, Matsumura, Takashi. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XII, 292 p. 278 illus., 163 illus. in color. - Б. ц.
    Зміст:
PART I Fundamentals --
1 Metal Processing Technology in General – Importance of Hierarchical Classification.-PART II Determinants for Functional and Performance Specifications in Machining Space --
2 Choosing Guide in Form-generating Movement and New Approaches to Machining Technology – Correlation Diagramme among Machining Method - Tools- Attachments - Machine kinds --
3 Raw Materials for Work, Engineering Materials and Swarf Discharge --
4 Structural Body Components Closely Allocated around Machining Space - Core for User-oriented Platform System.-5 Work and Tool Holding Devices – Chuck, Centre, Mandrel and Tool Holder --
6 In-process and On-the-machine Measurement.-7 “ Platform Concept ”, Its Application and Modular Tooling System.-PART III Practice and Theory at Machining Point.-8 Various Machining Methods and Tools in General --
9 Mechanisms for Metal Cutting and Grinding Including Cutting and Grinding tools.-1 0 Numerical Simulation for Metal Cutting and Grinding.-APPENDIXES.
Рубрики: Manufactures.
   Engineering design.
   Machinery.
   Applied mathematics.
   Engineering mathematics.
   Manufacturing, Machines, Tools, Processes.
   Engineering Design.
   Machinery and Machine Elements.
   Mathematical and Computational Engineering.
Анотація: This book describes machining technology from a wider perspective by considering it within the machining space. Machining technology is one of the metal removal activities that occur at the machining point within the machining space. The machining space consists of structural configuration entities, e.g., the main spindle, the turret head and attachments such the chuck and mandrel, and also the form-generating movement of the machine tool itself. The book describes fundamental topics, including the form-generating movement of the machine tool and the important roles of the attachments, before moving on to consider the supply of raw materials into the machining space, and the discharge of swarf from it, and then machining technology itself. Building on the latest research findings “Theory and Practice in Machining System” discusses current challenges in machining. Thus, with the inclusion of introductory and advanced topics, the book can be used as a guide and survey of machining technology for students and also as the basis for the planning of future research by professors and researchers in universities and scientific institutions. Professional engineers can use the book as a signpost to technical developments that will be applied in industry in coming years.

Перейти: https://doi.org/10.1007/978-3-319-53901-0

Дод.точки доступу:
Matsumura, Takashi.; Ito, Yoshimi. \.\; SpringerLink (Online service)
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17.

    The Art of Modeling Mechanical Systems [[electronic resource] /] : монография / ed.: Pfeiffer, Friedrich., Bremer, Hartmut. - 1st ed. 2017. - [S. l. : s. n.]. - VII, 386 p. 196 illus., 71 illus. in color. - Б. ц.
Рубрики: Mechanical engineering.
   Applied mathematics.
   Engineering mathematics.
   Mathematical models.
   Electrical engineering.
   Civil engineering.
   Mechanical Engineering.
   Mathematical and Computational Engineering.
   Mathematical Modeling and Industrial Mathematics.
   Electrical Engineering.
   Civil Engineering.
Анотація: The papers in this volume present rules for mechanical models in a general systematic way, always in combination with small and large examples, many from industry, illustrating the most important features of modeling. The best way to reach a good solution is discussed. The papers address researchers and engineers from academia and from industry, doctoral students and postdocs, working in the fields of mechanical, civil and electrical engineering as well as in fields like applied physics or applied mathematics.

Перейти: https://doi.org/10.1007/978-3-319-40256-7

Дод.точки доступу:
Pfeiffer, Friedrich. \ed.\; Bremer, Hartmut. \ed.\; SpringerLink (Online service)
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18.

    Advances in Reliability and System Engineering [[electronic resource] /] : монография / ed.: Ram, Mangey., Davim, J. Paulo. - 1st ed. 2017. - [S. l. : s. n.]. - XII, 265 p. 86 illus., 53 illus. in color. - Б. ц.
    Зміст:
Reliability measures, reliability assessment of multi-state systems --
System Engineering --
Reliability Modeling and Testing for Complex Systems --
Optimization of multi-state systems Continuous multi-state systems --
Standby multi-state systems --
New computational techniques applied to multi-state systems --
Mathematical Modelling & Simulation --
System reliability improvement and preventive maintenance based on component degradation --
Probabilistic and non-probabilistic safety assessment --
monitoring and control for multi-stage systems --
Engineering design for safety and reliability --
Statistical process control --
System modelling.
Рубрики: Quality control.
   Reliability.
   Industrial safety.
   Electronic circuits.
   Applied mathematics.
   Engineering mathematics.
   Quality Control, Reliability, Safety and Risk.
   Circuits and Systems.
   Mathematical and Computational Engineering.
Анотація: This book presents original studies describing the latest research and developments in the area of reliability and systems engineering. It helps the reader identifying gaps in the current knowledge and presents fruitful areas for further research in the field. Among others, this book covers reliability measures, reliability assessment of multi-state systems, optimization of multi-state systems, continuous multi-state systems, new computational techniques applied to multi-state systems and probabilistic and non-probabilistic safety assessment.

Перейти: https://doi.org/10.1007/978-3-319-48875-2

Дод.точки доступу:
Ram, Mangey. \ed.\; Davim, J. Paulo. \ed.\; SpringerLink (Online service)
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19.

    Kaveh, A.
    Applications of Metaheuristic Optimization Algorithms in Civil Engineering [[electronic resource] /] : монография / A. Kaveh ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVI, 373 p. 40 illus., 4 illus. in color. - Б. ц.
    Зміст:
Introduction --
Optimum Design of Castellated Beams Using Tug of War Algorithm --
Optimum Design of Multi-Span Composite Box Girder Bridges Using Cuckoo Search Algorithm --
Sizing Optimization of Skeletal Structures Using Enhanced Whale Optimization Algorithm --
Size and Geometry Optimization of Double Layer Grids Using Colliding Body Optimization (CBO) and Enhanced Colliding Body Optimization (ECBO) Algorithms --
Sizing and Geometry Optimization of Different Mechanical System of Domes via ECBO Algorithm --
Optimal Design of Double Layer Barrel Vaults Using CBO and ECBO Algorithms --
Optimum Design of Steel Floor System Using ECBO --
Optimal design of the monopole structures using CBO and ECBO algorithms --
Damage Detection in Skeletal Structures Based on Charged System Search Optimization Using Incomplete Modal Data --
Enhanced Colliding Bodies Optimization for Modification of Ground Motions --
Bandwidth, Profile and Wavefront Optimization Using PSO, CBO, ECBO and TWO Algorithms --
Optimal Analysis and Design of Large-Scale Domes with Frequency Constraints --
Cost and CO2 Emission Optimization of Reinforced Concrete Frames Using ECBO Algorithm --
Construction Site Layout Planning Problem Using CBO and ECBO.
Рубрики: Applied mathematics.
   Engineering mathematics.
   Mechanical engineering.
   Building—Superintendence.
   Construction industry—Management.
   Construction superintendence.
   Mathematical and Computational Engineering.
   Mechanical Engineering.
   Construction Management.
Анотація: The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.

Перейти: https://doi.org/10.1007/978-3-319-48012-1

Дод.точки доступу:
Kaveh, A. \.\; SpringerLink (Online service)
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20.

    Advanced Interfacing Techniques for Sensors [[electronic resource] :] : measurement Circuits and Systems for Intelligent Sensors / / ed. George, Boby. [et al.]. - 1st ed. 2017. - [S. l. : s. n.]. - XIV, 314 p. 193 illus., 121 illus. in color. - Б. ц.
    Зміст:
Sensors and their characteristics --
Advanced Interfacing Techniques for the Capacitive Sensors --
A Simple Embedded Sensor: Excitation and Interfacing --
AdvancedTechniques for Directly Interfacing Resistive Sensors to Digital Systems --
Interfaces for AutarkicWireless Sensors and Actuators in the Internet of Things --
Lock-In Amplifier Architectures for Sub-Ppm Resolution Measurements --
Biomedical Sensors and Their Interfacing --
Interfacing and Pre-ProcessingTechniques with Olfactory and Taste Sensors --
Harnessing Vision and Touch for Compliant Robotic Interaction with Soft or Rigid Objects --
IEEE1451 Smart Sensors Architectures for Vital Signs and Motor Activity Monitoring.
Рубрики: Electronics.
   Microelectronics.
   Electronic circuits.
   Applied mathematics.
   Engineering mathematics.
   Physical measurements.
   Measurement   .
   Electronics and Microelectronics, Instrumentation.
   Circuits and Systems.
   Mathematical and Computational Engineering.
   Measurement Science and Instrumentation.
Анотація: This book presents ways of interfacing sensors to the digital world, and discusses the marriage between sensor systems and the IoT: the opportunities and challenges. As sensor output is often affected by noise and interference, the book presents effective schemes for recovering the data from a signal that is buried in noise. It also explores interesting applications in the area of health care, un-obstructive monitoring and the electronic nose and tongue. It is a valuable resource for engineers and scientists in the area of sensors and interfacing wanting to update their knowledge of the latest developments in the field and learn more about sensing applications and challenges.

Перейти: https://doi.org/10.1007/978-3-319-55369-6

Дод.точки доступу:
George, Boby. \ed.\; Roy, Joyanta Kumar. \ed.\; Kumar, V. Jagadeesh. \ed.\; Mukhopadhyay, Subhas Chandra. \ed.\; SpringerLink (Online service)
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(Асоціація ЕБНІТ)