Soft Computing Applications

Proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016), Volume 2
 
 
Springer (Verlag)
  • erschienen am 1. Oktober 2017
  • |
  • XXXI, 614 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-319-62524-9 (ISBN)
 

These two volumes constitute the Proceedings of the 7th International Workshop on Soft Computing Applications (SOFA 2016), held on 24-26 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad.

The soft computing concept was introduced by Lotfi Zadeh in 1991 and serves to highli

ght the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and lower costs. Soft computing facilitates the combined use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing, leading to the concept of hybrid intelligent systems. The rapid emergence of new tools and applications calls for a synergy of scientific and technological disciplines in order to reveal the great potential of soft computing in all domains.

The conference papers included in these proceedings, published post-conference, were grouped into the following areas of research:

Methods and Applications in Electrical Engineering

Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks

Biomedical Applications

Image, Text and Signal Processing

Machine Learning and Applications

Business Process Management

Fuzzy Applications, Theory and Fuzzy Control

Computational Intelligence in Education

Soft Computing & Fuzzy Logic in Biometrics (SCFLB)

Soft Computing Algorithms Applied in Economy, Industry and Communication Technology

Modelling and Applications in Textiles

The book helps to disseminate advances in selected active research directions in the field of soft computing, along with current issues and applications of related topics. As such, it provides valuable information for professors, researchers and graduate students in the area of soft computing techniques and applications.

  • Global Poetics
  • |
  • Literatur- und kulturwissenschaftliche Studien zur Globalisierung
  • |
  • 634
1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • 321
  • |
  • 321 s/w Abbildungen
  • |
  • 321 schwarz-weiße Abbildungen, Bibliographie
  • 113,03 MB
978-3-319-62524-9 (9783319625249)
3319625241 (3319625241)
10.1007/978-3-319-62524-9
weitere Ausgaben werden ermittelt
  • Intro
  • Preface
  • Keynote Presentations
  • Introduction to Choquet Calculus
  • Emotional Facial Expressions: Communicative Displays or Psychological Universals?
  • Soft Data Analysis Based on Cluster Scaling
  • Why the Brain Can and the Computer Can't Biology Versus Silicon
  • Online Course: A Modern Trend of Teaching and Learning
  • Complex Dynamical System: Analysis and Control via Linear Matrix Inequality (LMI) Techniques
  • Theory and Practice of Business Intelligence
  • The Theory of Fuzzy Sets and Its Real-World Applications (Round Table)
  • Contents
  • Machine Learning and Applications
  • Model Evaluation as Approach to Predict a Diagnosis
  • 1 Introduction
  • 2 Motivation
  • 3 Theoretical Background
  • 4 Computational Experiments
  • 5 Conclusions and Future Work
  • References
  • The Basics of Implementing Intelligent Social Networks
  • Abstract
  • 1 Introduction
  • 2 Neural Networks
  • 3 Implementing the Application
  • 4 Future Work
  • 5 Conclusions
  • References
  • The Generation of Tests of Knowledge Check Using Genetic Algorithms
  • Abstract
  • 1 Introduction
  • 2 The Problem of Test Generation with Restrictions
  • 3 Description of the Used Algorithm
  • 4 Description of the Algorithm Used for the Problem of Test Generation
  • 5 Observation
  • 6 Implementation and Results
  • 7 Conclusions
  • References
  • Matrix-Valued Bidirectional Associative Memories
  • 1 Introduction
  • 2 Matrix-Valued Bidirectional Associative Memories
  • 3 Conclusions
  • References
  • Enhanced Gradient Descent Algorithms for Quaternion-Valued Neural Networks
  • 1 Introduction
  • 2 Enhanced Gradient Descent Algorithms
  • 2.1 Quickprop
  • 2.2 Resilient Backpropagation
  • 2.3 Delta-bar-delta
  • 2.4 SuperSAB
  • 3 Experimental Results
  • 3.1 Linear Autoregressive Process with Circular Noise
  • 3.2 3D Lorenz System
  • 3.3 4D Saito Chaotic Circuit
  • 4 Conclusions
  • References
  • A Reinforcement Learning Based Approach to Multiple Sequence Alignment
  • 1 Introduction
  • 2 Background
  • 2.1 Problem Relevance
  • 2.2 Literature Review
  • 3 A RL Model for Multiple Sequence Alignment
  • 3.1 Sequence to Profile Alignment
  • 3.2 The Proposed RL Approach for the MSA Problem
  • 4 Computational Experiments
  • 4.1 Parameters Setting and Implementation Details
  • 4.2 Hepatitis C Virus DNA Sequences
  • 4.3 Papio Anubis (Olive Baboon) DNA Sequences
  • 4.4 Data Set 469 from oxbench_mdsa_all
  • 4.5 Data Set 429 from oxbench_mdsa_all
  • 4.6 DNA Belonging to Three Different Species
  • 5 Comparison to Related Work
  • 6 Conclusions and Further Work
  • References
  • Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology
  • 1 Introduction
  • 2 Background
  • 2.1 Body Mass Estimation
  • 2.2 Artificial Neural Networks and Support Vector Machines
  • 3 Machine Learning-Based Body Mass Estimation
  • 3.1 Training
  • 3.2 Testing
  • 4 Experimental Evaluation
  • 4.1 Data Set and Case Studies
  • 4.2 Data Preprocessing
  • 4.3 Results
  • 5 Discussion and Comparison to Related Work
  • 5.1 Comparison to Related Work
  • 6 Conclusions and Future Work
  • References
  • A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization
  • Abstract
  • 1 Introduction
  • 2 Prerequisites
  • 3 A New Fuzzy Approach of Multiple Sensitivity Colonies for ACO
  • 4 Numerical Experiments and Discussions
  • 5 Conclusions
  • Acknowledgement
  • References
  • Nature Inspired Partitioning Clustering Algorithms: A Review and Analysis
  • Abstract
  • 1 Introduction
  • 2 Data Clustering Problem Statement
  • 3 Meta-Heuristic Algorithms for Data Clustering
  • 3.1 Evolutionary Meta-Heuristic Algorithms
  • 3.1.1 The Genetic Algorithm (GA)
  • 3.2 Collective Intelligence Meta-Heuristic Algorithm
  • 3.2.1 The Ant Colony Optimization (ACO)
  • 3.2.2 The Artificial Bee Colony Algorithm
  • 3.2.3 The Particle Swarm Optimization (PSO)
  • 3.2.4 The Imperialist Competitive Algorithm (ICA)
  • 3.3 Abiotic Meta-Heuristic Algorithms
  • 3.3.1 The Tabu Search Algorithm (TS)
  • 3.3.2 The Gravitational Search Algorithm (GSA)
  • 4 Select Appropriate Algorithms from Each Group for Evaluation
  • 4.1 Evaluation Parameters
  • 5 Simulation Results
  • 6 Conclusion and Future Work
  • References
  • Parametric Prediction Model Using Expert System and Fuzzy Harmonic System
  • Abstract
  • 1 Introduction
  • 2 Proposal
  • 2.1 Variables Description
  • 2.2 Variables Fuzzyfication
  • 3 Description of Prototype KRONOS
  • 4 Case Study
  • 5 Conclusions and Future Work
  • References
  • Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree
  • Abstract
  • 1 Introduction
  • 2 Proposed Techniques
  • 2.1 Gini Criterion
  • 2.2 Twoing Criterion
  • 3 Experiment
  • 4 Result and Discussion
  • 5 Conclusion
  • References
  • Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK
  • Abstract
  • 1 Introduction
  • 2 Methodology
  • 2.1 Naïve Bayes
  • 2.2 Multiclass Classifier
  • 2.2.1 One-vs-All
  • 2.2.2 One-vs-One
  • 2.3 IBK
  • 2.4 K-Star
  • 3 Result and Discussion
  • 4 Conclusion
  • References
  • Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network
  • Abstract
  • 1 Introduction
  • 2 Theoretical Background
  • 2.1 Support Vector Machine Model
  • 2.2 Neural Network Model
  • 2.3 Deep Learning Using Support Vector Machines
  • 3 Data Set Description
  • 4 Result and Discussion
  • 5 Conclusion
  • References
  • Business Process Management
  • Collaborative Business Process Solution Considering an Ontological Dimension of Process Models
  • Abstract
  • 1 Introduction
  • 2 Semantic BPM
  • 3 Organizational Process Compatibility Factor
  • 3.1 Extract SBVR Rules from Business Processes
  • 3.2 Transform SBVR Representation into an OWL Representation of the Ontology
  • 3.3 Perform a Mapping of the Ontologies Extracted for the Business Processes
  • 3.4 Compute Business Process Similarity
  • 4 Collaborative Process Model
  • 5 Future Work
  • 6 Limitation
  • 7 Conclusion
  • References
  • Logistics Scenario for Wind Turbine Assembly Based on ERP
  • Abstract
  • 1 Introduction
  • 2 Logistics Scenario for Wind Turbine Assembly
  • 3 Conclusions
  • Acknowledgement
  • References
  • Relieving Supply Chain Through Collaboration for Wind Turbine Assembly Based on AHP and DBR
  • Abstract
  • 1 Introduction
  • 2 Wind Blades Overall Presentation
  • 3 Wind Blades Assembling at the Wind Farm Site
  • 3.1 Restriction Degree of the Composite Material from Specialized Teams
  • 3.2 Generated Restrictions by Supply Chain Collaboration Links
  • 3.3 Wind Blades Classification
  • 3.4 Accessibility Location Degree
  • 3.5 Important Factors in Choosing Blades
  • 3.6 Exposure to Risk Factors in Choosing Blades
  • 4 Using the AHP Methodology
  • 4.1 Importance Scale Presentation
  • 5 Buffer Dimensioning for Blades with Higher Composition of Carbon Fiber and Fiberglass Through DBR Philosophy
  • 6 Conclusions
  • Acknowledgement
  • References
  • New Learning and New Teaching in Higher Education. Formal vs. Informal Learning
  • Abstract
  • 1 Learning/Teaching
  • 2 Delivering Education: What it Takes to be a New Educator?
  • 3 Formal/Non-formal/Informal Learning
  • 4 e-Learning - New Learning
  • 5 Discussions and Conclusion
  • References
  • Integrating E-learning Platforms in Teaching/Learning. A Critical Review Upon the Virtual Campus Usa ...
  • Abstract
  • 1 E-learning
  • 2 E-learning Platforms. Moodle. Virtual Campus
  • 3 Virtual Campus
  • 4 Discussions and Conclusion
  • References
  • Application of the Fuzzy-Pay-Off Method in the Valuation of a Financial Instrument
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 2.1 The Discounted Cash Flow Method (DCFM)
  • 2.2 The Fuzzy Pay-Off Method (FPOM)
  • 3 Case Study - Valuation of a Patent with the FPOM, Based on DCF
  • 3.1 Improving Patent Valuation Using the FPOM
  • 3.2 The Fuzzy Pay-Off Method (FPOM)
  • 3.3 Patent Valuation Using Three Scenarios Through the DCFM
  • 4 Results and Their Interpretation
  • 5 Conclusions
  • Acknowledgement
  • References
  • Fuzzy Applications, Theory and Fuzzy and Control
  • Fuzzy Logic Control Strategy for a Three-Phase Electric Arc Furnace
  • Abstract
  • 1 Introduction
  • 2 The AC Electric Arc Modeling
  • 2.1 Fuzzy Logic Control System for the Electric Arc Furnace
  • 2.2 Tracking the Reference
  • 2.3 Disturbances Rejection
  • 3 Conclusions
  • Acknowledgements
  • References
  • On Fuzzy Estimation of Channel Noise Characteristics in MIMO Communication Systems
  • Abstract
  • 1 Introduction
  • 2 Mathematical Models
  • 3 Fuzzy Rules of Channel Noise Influence on Received Symbols
  • 4 Fuzzy System for Channel Noise Estimation
  • 5 Simulation Results
  • 6 Conclusions
  • References
  • Fuzzy-Expert System for Investments in Winemaking
  • Abstract
  • 1 Introduction
  • 2 The Role of Expert Systems in Economics
  • 3 Estimating the Investment Feasibility (Matlab)
  • 4 Estimating the Cost (BES)
  • 5 Discussion
  • Acknowledgements
  • References
  • Closed Loop Blood Glucose Regulation of Type 1 Diabetic Patient Using Takagi-Sugeno Fuzzy Logic Control
  • Abstract
  • 1 Introduction
  • 2 Glucose-Insulin Dynamical Model
  • 2.1 Bergman Minimal Model IVGTT
  • 2.2 Modified Bergman Minimal Model
  • 3 Closed Loop Control: Design Strategy
  • 3.1 Controller Synthesis
  • 4 Results
  • 4.1 Case I: Simulation Studies with Nominal Model Parameters
  • 4.2 Case II: Simulation Studies with Known Parameter Variations
  • 5 Conclusion
  • References
  • Experimental Implementation of Fuzzy Vision-Based Tracking Control of Quad-Rotor
  • Abstract
  • 1 Introduction
  • 2 Experimental Platform
  • 2.1 Hardware Description [13]
  • 2.2 Software Platform
  • 3 Object Detection and Tracking
  • 3.1 Histogram-Backprojection [19]
  • 3.2 Meanshift Algorithm [16]
  • 3.3 Camshift Tracker
  • 4 Controller Design
  • 4.1 Fuzzy Proportional Controller
  • 4.2 Fuzzy Proportional-Derivative Controller
  • 5 Experimental Results
  • 6 Conclusion
  • References
  • Fuzzy Fractional Derivative: A New Definition
  • Abstract
  • 1 Introduction
  • 2 Basic Concepts
  • 3 Restrictions Associated to Caputo-Type Fuzzy Fractional Derivatives
  • 4 Modified Riemann-Liouville Fuzzy Fractional Derivative
  • 5 Example
  • 6 Conclusions
  • Acknowledgments
  • Appendix
  • References
  • Solving First Order Linear Fuzzy Differential Equations System
  • Abstract
  • 1 Introduction
  • 2 Preliminaries
  • 3 The Solutions of First Order Linear FDEs System
  • 3.1 One-Dimensional First Order Linear FDEs
  • 3.2 First Order Linear FDEs System with Uncertain Initial Conditions
  • 3.3 First Order Linear FDEs System with Uncertain Coefficients and Initial Conditions
  • 4 Applications
  • 5 Conclusion
  • An LMI Based Integral SMC for Tracking Control of a New 4-D Conservative Chaotic System
  • Abstract
  • 1 Introduction
  • 2 Dynamics of the New 4-D Conservative Chaotic System
  • 3 Numerical Findings
  • 4 Control of Transient Chaos
  • 4.1 LMI Based Integral SMC
  • 5 Results and Discussion
  • 6 Conclusions
  • References
  • Tracking Control with Vibration Suppression of a Two-link Flexible Manipulator using Singular Perturbation with Composite Control Design
  • 1 Introduction
  • 2 Mathematical Modelling of a Two-Link Flexible Manipulator
  • 3 Model Decomposition by Singular Perturbation
  • 4 Designing of Controller
  • 4.1 LMI Based SMC for Slow Subsystem
  • 4.2 LMI Based State Feedback Controller (SFC) for Fast Subsystem
  • 5 Results and Discussion
  • 6 Conclusions
  • References
  • Computational Intelligence in Education
  • Distributive Fairness in Educational Assessment
  • Abstract
  • 1 Introduction
  • 2 Aggregation
  • 3 Distribution
  • 4 Split-Join-Invariance
  • 5 Theories of Distributive Fairness of Team Assessment
  • 5.1 Additive Theory
  • 5.1.1 The Basics
  • 5.2 Multiplicative Theory
  • 5.2.1 The Basics
  • 5.3 Exponential Theory
  • 5.3.1 The Basics
  • 5.4 Validation of the Three Theories
  • 5.4.1 First Approach Focussing on Holistic Assessment
  • 5.4.2 Second Approach Comparing Analytic with Holistic Assessment
  • 5.5 By Way of Conclusion
  • References
  • E-Learning Web Based Grid by Utilising P2P Technology in Presentation Broadcasting
  • Abstract
  • 1 Introduction
  • 2 Fundamentals
  • 3 Web Based Learning Grid
  • 4 Towards an Implementation of a Presentation Gridcasting
  • 5 Conclusions
  • References
  • Soft Computing and Fuzzy Logic in Biometrics (SCFLB)
  • A Circular Eccentric Iris Segmentation Procedure for LG2200 Eye Images
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Proposed Segmentation Procedure
  • 3.1 Processing Steps for Edge Enhancement and Detection
  • 3.2 Processing Steps for Cropping
  • 3.3 Hough Voting and Circle Selection
  • 3.4 Discussion on the Segmentation Improvements
  • 4 Experimental Results
  • 4.1 Segmentation Failures
  • 4.2 Enhancement's Effect on Recognition Performance
  • 4.3 The Influence of the Eccentricity Detection Error
  • 5 Conclusions
  • Acknowledgement
  • References
  • Iris Segmentation in the Last Decade - A Survey
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Available Iris Image Databases
  • 4 Circles or Ellipses?
  • 5 Concentric or Eccentric Iris Boundaries?
  • 6 Iris and Pupil Center Approximation
  • 6.1 Specular Lights Detection
  • 6.2 Thresholding
  • 6.3 Elliptical or Circular Filters
  • 6.4 Resizing the Eye-Image
  • 7 Morphological Operations Used for Noise Removal
  • 8 Extracting Iris Segments from Video Frames
  • 9 Machine Learning Methods for Iris Segmentation
  • 10 Visible vs. Near Infrared Iris Image Segmentation
  • 11 Segmentation Performance Evaluation
  • 12 Conclusions
  • Acknowledgement
  • References
  • Circular Fuzzy Iris Segmentation Using Isolines, Sine Law and Lookup Tables
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Principles Underlying the Proposed Segmentation Approach
  • 4 The Global Vital Space of a Grayscale Image
  • 5 Search Space Deflation
  • 6 Defining a Local Vital Space for a Grayscale Image Using Isolines
  • 6.1 Fuzzy Isolines
  • 6.2 Degenerated f-isolines
  • 6.3 Essential Local Chromatic Variations
  • 6.4 A Local, Isoline-Based, Vital Space of the Grayscale Image
  • 7 Circularity Test Based on Sine Law and Lookup Tables
  • 7.1 Advantages
  • 8 Iris Segmentation Based on Isolines, Sine Law and Lookup Tables
  • 9 Experimental Results
  • 10 Conclusions
  • Acknowledgement
  • References
  • A Parallel Approach on Airport Runways Detection Using MPI and CImg
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Runways Detection Algorithm
  • 4 Results
  • 5 Conclusions
  • Acknowledgements
  • References
  • Identifying Down Syndrome Cases by Combined Use of Face Recognition Methods
  • Abstract
  • 1 Introduction
  • 2 Face Characterization Features
  • 3 Results
  • 4 Conclusions
  • References
  • Iris Recognition Using Color and Texture Features
  • Abstract
  • 1 Introduction
  • 2 Iris Databases
  • 3 Color Spaces
  • 4 Feature Extraction, Measures, Classifiers
  • 4.1 Color Feature Extraction
  • 4.2 Texture Feature Extraction
  • 4.3 Classifiers and Measures
  • 5 Results
  • 5.1 Color Features Results
  • 5.2 Results Obtained Using Texture Feature Vectors
  • 5.3 Results Obtained with Color and Texture Feature Vectors
  • 5.3.1 Concatenating Color and Texture Features
  • 5.3.2 Two Steps Recognition
  • 6 Conclusions
  • References
  • Retinal Vessel Classification Technique
  • Abstract
  • 1 Introduction
  • 2 Preliminary Retinal Image Processing Steps
  • 3 Vessel Graph Processing
  • 4 Stratified Vessel Classification Procedure
  • 5 Conclusions
  • Acknowledgments
  • References
  • Soft Computing Algorithms Applied in Economy, Industry and Communication Technology
  • Reliable Metrics for Image LSB Steganography on Mobile Platforms
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 3 Proposed Solution
  • 3.1 Visual Analysis
  • 3.2 Benchmarking Analysis
  • 3.3 Statistical Steganalysis
  • 4 Conclusions
  • Acknowledgement
  • References
  • Information System Security in the Context of Administrative Cooperation Through Internal Market Inf ...
  • Abstract
  • 1 Introduction
  • 2 Internal Market Information System (IMI) versus Incident Legislative Areas
  • 3 Internal Market Information System (IMI) Versus Alumni, the Stage of Introducing Them the Skills t ...
  • 4 Internal Market Information System (IMI) Versus Authorized Persons
  • 5 Case Study: IMI User Skills
  • 6 The Confidentiality of Communications and the Security of Information in the Processing of Persona ...
  • 7 European Professional Card in the Context of the Differences Between the Activities of a Professio ...
  • 8 Conclusions
  • Acknowledgement
  • References
  • An Application of the Multi Period Decision Trees in the Sustainable Medical Waste Investments
  • Abstract
  • 1 Introduction
  • 2 Related Works
  • 2.1 Waste Management in Europe - An Overview
  • 2.2 The Multiple Uses of the Decision Trees
  • 3 Medical Waste Incineration in Romania
  • 3.1 Objectives of the Study
  • 3.2 Research Methodology
  • 4 Results and Interpretation
  • 5 Conclusions
  • Acknowledgements
  • References
  • Containerizing Solution for a Highly Distributed Systems
  • Abstract
  • 1 Introduction
  • 1.1 What Is a Container?
  • 1.2 Portability
  • 2 Proposed Solution
  • 2.1 Fissile and BOSH
  • 2.2 Dealing with Tight Coupling
  • 2.3 Image Layers, Compilation and the Entry Point
  • 3 Using the Solution - Cloud Foundry Containerized
  • 4 Conclusions
  • Acknowledgement
  • References
  • Data Acquisition and Processing with Fusion Sensors, Used in Algorithms for Increasing Accuracy of P ...
  • Abstract
  • 1 Introduction
  • 2 Calculus of Preliminary Data
  • 3 Geometry of Robot
  • 4 Trajectory Parameters Obtained from Encoders
  • 5 Trajectory Parameters Obtained from Accelerometer
  • 6 Kalman Adjustment
  • 7 Experimental Results
  • 8 Results Analysis
  • 9 Conclusions
  • References
  • Modelling and Applications in Textiles
  • Specialized Software for Tracking and Management Machinery Used in Textile Industry
  • Abstract
  • 1 Introduction
  • 2 The Software
  • 3 Description of the Software Application
  • 3.1 Application's Menu
  • 3.2 The Management Module
  • 3.3 Tracking Module
  • 3.4 Mobile Version of the Application
  • 4 Conclusions
  • Acknowledgement
  • References
  • Treatment Optimization for Bioscouring in Ultrasound of Cotton/Cottonised Hemp Blended Fabrics
  • Abstract
  • 1 Introduction
  • 2 Experimental Part
  • 2.1 Interpretation of the Mathematical Model Obtained
  • 3 Conclusions
  • Acknowledgement
  • References
  • Fuzzy Method Applied on the Control of Textiles Biotechnologies
  • Abstract
  • 1 Introduction
  • 2 Experimental Part
  • 3 Discussions
  • 4 Conclusions
  • Acknowledgements
  • References
  • Author Index

Dateiformat: PDF
Kopierschutz: Adobe-DRM (Digital Rights Management)

Systemvoraussetzungen:

Computer (Windows; MacOS X; Linux): Installieren Sie bereits vor dem Download die kostenlose Software Adobe Digital Editions (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie bereits vor dem Download die kostenlose App Adobe Digital Editions (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nicht Kindle)

Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Mit Adobe-DRM wird hier ein "harter" Kopierschutz verwendet. Wenn die notwendigen Voraussetzungen nicht vorliegen, können Sie das E-Book leider nicht öffnen. Daher müssen Sie bereits vor dem Download Ihre Lese-Hardware vorbereiten.

Weitere Informationen finden Sie in unserer E-Book Hilfe.


Dateiformat: PDF
Kopierschutz: Wasserzeichen-DRM (Digital Rights Management)

Systemvoraussetzungen:

Computer (Windows; MacOS X; Linux): Verwenden Sie zum Lesen die kostenlose Software Adobe Reader, Adobe Digital Editions oder einen anderen PDF-Viewer Ihrer Wahl (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie die kostenlose App Adobe Digital Editions oder eine andere Lese-App für E-Books (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nur bedingt: Kindle)

Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Mit Wasserzeichen-DRM wird hier ein "weicher" Kopierschutz verwendet. Daher ist technisch zwar alles möglich - sogar eine unzulässige Weitergabe. Aber an sichtbaren und unsichtbaren Stellen wird der Käufer des E-Books als Wasserzeichen hinterlegt, sodass im Falle eines Missbrauchs die Spur zurückverfolgt werden kann.

Weitere Informationen finden Sie in unserer E-Book Hilfe.


Download (sofort verfügbar)

296,31 €
inkl. 19% MwSt.
Download / Einzel-Lizenz
PDF mit Adobe DRM
siehe Systemvoraussetzungen
E-Book bestellen

296,31 €
inkl. 19% MwSt.
Download / Einzel-Lizenz
PDF mit Wasserzeichen-DRM
siehe Systemvoraussetzungen
E-Book bestellen

Unsere Web-Seiten verwenden Cookies. Mit der Nutzung des WebShops erklären Sie sich damit einverstanden. Mehr Informationen finden Sie in unserem Datenschutzhinweis. Ok