Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XIV, 114 p. 38 illus., 37 illus. in color)

Edition: 1st ed. 2024

ISBN: 9783031607011

Series Statement: Smart Sensors, Measurement and Instrumentation 48

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60700-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60702-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60703-5

Language: English

DOI: 10.1007/978-3-031-60701-1

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XIX, 799 S. : , graph. Darst.

ISBN: 978-3-642-29252-1

Series Statement: Lecture notes in computer science 7235

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-642-29253-8

Language: English

Subjects: Computer Science

Keywords: World Wide Web ; Anwendungssystem ; Data Mining ; Datenbanksystem ; Empfehlungssystem ; Benutzerprofil ; Web Services ; Dienstgüte ; World Wide Web 2.0 ; Information Retrieval ; Semantic Web ; Abfrage ; Konferenzschrift ; Konferenzschrift ; Kongress ; Konferenzschrift

URL: http://d-nb.info/1020436549/04

URL: http://deposit.d-nb.de/cgi-bin/dokserv?id=3989385&prov=M&dok_var=1&dok_ext=htm

Author information: Sheng, Quan Z.

UID:

Format: 1 online resource (364 pages) : , illustrations.

Edition: First edition.

ISBN: 0-12-813327-9 , 0-12-813314-7

Series Statement: Intelligent Data Centric Systems

Content: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

Note: Front Cover -- Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications -- Copyright -- Contents -- Contributors -- Foreword -- Preface -- Organization of the Book -- Audience -- 1 A Cloud-Based Big Data System to Support Visually Impaired People -- 1.1 Introduction -- 1.2 Related Work -- 1.3 Background -- 1.3.1 Internet of Things (IoT) -- 1.3.2 Cloud Computing -- 1.3.3 Face Detection and Recognition -- 1.3.4 Optical Character Recognition (OCR) -- 1.4 Problem Statement -- 1.5 System Architecture -- 1.5.1 Top-Level Architecture -- 1.6 Big Data Analytics -- 1.6.1 Text Recognition -- 1.6.2 Face Recognition -- 1.7 Prototype -- 1.8 Evaluation -- 1.9 Conclusion -- References -- 2 Computational Intelligence in Smart Grid Environment -- 2.1 Introduction -- 2.1.1 Power Load Forecasting -- 2.1.2 Electricity Price Forecasting -- 2.1.3 Smart Grid Optimization -- 2.2 Related Work and Open Issues -- 2.2.1 Power Load Forecasting -- 2.2.1.1 Stream Forecasting -- 2.2.1.2 Adaptivity -- 2.2.2 Prediction of Electricity Spot Prices in Smart Grid -- 2.2.3 Optimization and Metaheuristics in Big Data and Microgrids -- 2.3 Overview of Methods Used in Smart Grid Problems -- 2.3.1 Forecasting Methods -- 2.3.1.1 Statistical Techniques -- 2.3.1.2 Arti cial Intelligence Techniques -- 2.3.1.3 Hybrid Techniques (Ensemble Learning) -- 2.3.2 Optimization Methods -- 2.3.2.1 Particle Swarm Optimization -- 2.3.2.2 Arti cial Bee Colony -- 2.3.2.3 Genetic Algorithm -- 2.3.2.4 Hyper-Heuristics -- 2.4 Proposed Methods -- 2.4.1 Electricity Price Forecasting -- 2.4.2 Power Load Forecasting -- 2.4.2.1 Adaptive Ensemble Learning for Power Load Forecasting -- 2.4.2.2 Online Support Vector Regression -- 2.4.2.3 Data -- 2.4.2.4 Results -- 2.5 Future Work -- 2.6 Conclusions -- Acknowledgment -- References. , 3 Patient Facial Emotion Recognition and Sentiment Analysis Using Secure Cloud With Hardware Acceleration -- 3.1 Introduction -- 3.2 System Overview -- 3.3 Background -- 3.3.1 Facial Emotion Recognition -- 3.3.2 Big Data Analytics on the Cloud -- 3.3.3 Deep Learning Using Convolutional Neural Networks (CNNs) -- 3.4 System Architecture -- 3.4.1 Face Detection in Images -- 3.4.2 Facial Emotion Recognition Using CNNs -- 3.4.3 The CNN Model Training -- 3.5 System Implementation -- 3.5.1 A Secure, Multi-tenant Cloud Storage System -- 3.6 Experiments -- 3.6.1 Dataset -- 3.6.2 GPU Benchmarking and Comparison -- 3.6.3 Facial Emotion Recognition Accuracy -- 3.6.4 Model Performance and Power With Hardware Acceleration -- 3.7 DeepPain: Mapping Patient Emotions to Pain Intensity Levels -- 3.8 Conclusions and Future Work -- Acknowledgments -- References -- 4 Novel Computational Intelligence Techniques for Automatic Pain Detection and Pain Intensity Level Estimation From Facial Expressions Using Distributed Computing for Big Data -- 4.1 Introduction -- 4.2 Background and History of Computational Techniques -- 4.2.1 Feature Extraction Techniques -- 4.2.2 Dimension Reduction Techniques -- 4.2.3 Machine Learning Techniques for Classi cation -- 4.2.4 Distributed Computing for Heavy Computations -- 4.3 System Architecture for Distributed Computing -- Client -- Scheduler -- Workers -- 4.4 Design of the Novel System for Pain Detection and Pain Intensity Estimation -- 4.4.1 Preprocessing -- 4.4.2 Feature Extraction -- 4.4.2.1 Image Filtering Using Eight Directional Compass Masks -- 4.4.2.2 Formation of Code Image -- 4.4.2.3 Formation of Histogram and Feature Vector -- 4.4.3 Universal Kernel-Based Dimension Reduction System (UKDRS) -- 4.4.3.1 Universal Kernel-Pearson VII Function -- 4.4.3.2 UKDRS -- 4.4.4 Classi cation Using ELM-RBF -- 4.5 Experiments and Results. , 4.5.1 Datasets Used -- 4.5.2 Evaluation of Classi cation Results While Detecting Pain -- 4.5.3 Evaluation of Classi cation Results in Pain Intensity Level Estimation -- 4.5.4 Evaluation of Computational Time for Pain Detection and Pain Intensity Level Estimation -- 4.5.4.1 Image Size vs. Time for Pain Intensity Level Recognition -- 4.5.5 Discussion -- 4.5.5.1 Robustness Against Noise -- 4.5.5.2 Dimension Reduction -- 4.5.5.3 Comparison of Pain Detection Results With Other Methods in the Literature -- 4.6 Conclusion and Future Outlook -- References -- 5 Computational Intelligence Enabling the Development of Ef cient Clinical Decision Support Systems: Case Study of Heart Failure -- 5.1 Introduction -- 5.2 Core Components of Diagnoses Based CDSS -- 5.3 CI Predictor Based on Fuzzy Reasoning Technique -- 5.4 CI Predictor Based on Multi Layer Perceptron Network -- 5.5 CI Based CDSS Evaluation Methods -- 5.6 Conclusion -- Acknowledgments -- References -- 6 Aspect Oriented Modeling of Missing Data Imputation for Internet of Things (IoT) Based Healthcare Infrastructure -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Proposed Framework -- 6.4 Proposed Missing Data Imputation Service -- 6.5 Experimentation and Results -- References -- 7 A Hybrid Computational Intelligence Decision Making Model for Multimedia Cloud Based Applications -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Research Background -- 7.3.1 Cloud Computing -- 7.3.2 Fuzzy Delphi Method -- 7.3.3 Fuzzy Analytic Hierarchy Process (FAHP) -- 7.4 The Proposed Hybrid MCDM Model -- 7.5 A Numeric Application of the Proposed Hybrid Approach -- 7.6 Conclusion and Future Study -- References -- 8 Energy-Constrained Work ow Scheduling in Cloud Using E-DSOS Algorithm -- 8.1 Introduction -- 8.2 Related Work -- 8.3 System Model -- 8.4 The Application Model -- 8.5 Experimental Results and Discussion. , 8.6 Conclusion and Future Work -- References -- 9 Producing Better Disaster Management Plan in Post-Disaster Situation Using Social Media Mining -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Data Description -- 9.3.1 Study Event -- 9.3.2 Data Collection -- 9.3.3 Disaster Tweet Ontology -- 9.3.4 Quantitative Assessment -- 9.4 Tweet Classi cation Process -- 9.4.1 Preprocessing of Tweets -- Removal of Stop Words -- Stemming Word -- 9.4.2 Feature Vector Representation -- 9.4.2.1 Bag-of-Words Representation -- 9.4.2.2 Term Frequency-Inverse Document Frequency Representation -- 9.4.3 Learning Algorithms -- 9.4.4 Performance Evaluation -- 9.5 Tweet Classi cation Algorithms -- 9.5.1 Voting Classi er -- 9.6 Information Extraction -- 9.7 Conclusion -- References -- 10 Metaheuristic Algorithms: A Comprehensive Review -- 10.1 Introduction -- 10.2 Metaheuristics Taxonomies -- 10.3 Metaphor Based Metaheuristics -- 10.3.1 Biology Based Metaheuristics -- 10.3.1.1 Genetic Algorithm (GA) -- 10.3.1.2 Particle Swarm Optimization (PSO) -- 10.3.1.3 Water Waves Optimization (WWO) -- 10.3.1.4 Clonal Selection Algorithm (CLONALG) -- 10.3.2 Chemistry Based Metaheuristics -- 10.3.2.1 Chemical Reaction Optimization (CRO) -- 10.3.2.2 Gases Brownian Motion Optimization (GBMO) -- 10.3.3 Music Based Metaheuristics -- 10.3.3.1 Harmony Search (HS) -- 10.3.3.2 Method of Musical Composition (MMC) -- 10.3.4 Math Based Metaheuristics -- 10.3.4.1 Base Optimization Algorithm (BOA) -- 10.3.4.2 Sine Cosine Algorithm (SCA) -- 10.3.5 Physics Based Metaheuristics -- 10.3.5.1 Simulated Annealing (SA) -- 10.3.5.2 Gravitational Search Algorithm (GSA) -- 10.3.6 Social and Sport Based Metaheuristics -- 10.3.6.1 Teaching-Learning-Based Optimization (TLBO) -- 10.3.6.2 League Championship Algorithm (LCA) -- 10.4 Non-Metaphor Based Metaheuristics -- 10.4.1 Tabu Search (TS). , 10.4.2 Variable Neighborhood Search (VNS) -- 10.4.3 Partial Optimization Metaheuristic Under Special Intensi cation Conditions (POPMUSIC) -- 10.5 Variants of Metaheuristics -- 10.5.1 Upgrading of Metaheuristics -- 10.5.1.1 Adaptive Metaheuristics -- 10.5.1.2 Chaotic Metaheuristics -- 10.5.1.3 Gaussian Based Metaheuristics -- 10.5.1.4 Metaheuristics Acceleration -- 10.5.2 Metaheuristics Acclimatization -- 10.5.2.1 Multi-Objectives Metaheuristics -- Non-dominated Sorting Genetic Algorithm (NSGA-II) -- Multi-Objective Particle Swarm Optimization With Crowding Distance (MOPSO-CD) -- 10.5.2.2 Metaheuristics Discretization -- 10.5.2.3 Metaheuristics Continuousization -- 10.5.3 Hybridization of Metaheuristics -- 10.5.3.1 Sequential and Interleaved Hybridization -- ANGEL Algorithm -- MKF-Cuckoo Algorithm -- FPA With Clonal Selection Algorithm (CSA) -- 10.5.3.2 Metaheuristics in Parallel Schemas -- Trajectory-Based Models -- Population-Based Models -- 10.6 A Case Study: Weld Beam Design Problem -- 10.6.1 Weld Beam Design Problem -- 10.6.2 Experimental Results -- 10.7 Limitation and New Trends -- 10.8 Conclusion -- References -- 11 Unsupervised Anomaly Detection for High Dimensional Data-an Exploratory Analysis -- 11.1 Introduction -- 11.1.1 Research Problem -- 11.1.2 Research Contribution -- 11.1.3 Organization -- 11.2 Preliminary Discussion -- 11.2.1 Related Works -- 11.3 Subspace Algorithms -- 11.4 Algorithm Which Do not Consider Subspaces -- 11.4.1 Angle Based -- 11.4.2 Approximate Nearest Neighbor Based -- 11.4.3 Ensemble Methods -- 11.4.4 Dimension Reduction Based -- 11.4.5 Feature Selection Based -- 11.4.6 Other Methods -- 11.5 Datasets -- 11.6 Tools and Evaluation -- 11.7 Applications -- Fraud Detection in Credit Card Transactions -- Intrusion Detection -- Health Domain -- Astronomy -- Video Surveillance -- 11.8 Proposed Framework DBN-K Means. , 11.8.1 Experiment and Result.

Language: English

UID:

Format: 1 online resource (484 pages) : , illustrations

Edition: First edition.

ISBN: 0-12-809765-5

Content: "Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things). With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact. Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research." -- Publisher's description.

Note: Part 1. Modeling and searching. Ontologies and context modeling for the web of things; The anatomy of an intent based search and crawler engine for the web of things ; Modeling RESTful web of things services ; A semantic-rich approach to IoT the generalized world entities paradigm – Part 2. System building and practices. Building a web of things with avatars ; A WoT testbed for research and course projects ; Using reference architecture for design and evaluation of Web of Things systems ; Efficient and secure pull requests for emergency cases using a mobile access framework – Part 3. Data integration and analytics. Automatic integration and querying of semantic rich heterogeneous data ; Building entity graphs for the web of things management ; Building interoperable and cross-domain semantic web of things applications ; Web of things data storage – Part 4. Applications, security and social impact. WoX: model-driven development of web of things applications ; Security issues of the web of things ; A web of fitness “things”: an exploration of social impacts & vulnerable populations.

Additional Edition: ISBN 0-12-809764-7

Language: English

UID:

Format: 1 Online-Ressource XXII, 849 Seiten , Illustrationen, Diagramme

ISBN: 9783319462950 , 9783319462943

Series Statement: Lecture Notes in Computer Science Volume 9936

Language: English

Keywords: Serviceorientierte Architektur ; Web Services ; Cloud Computing ; Dienstekomposition ; Dienstgüte ; Prozessmanagement ; Konferenzschrift

DOI: 10.1007/978-3-319-46295-0

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Sheng, Quan Z.

UID:

Format: 1 Online-Ressource (XIII, 139 Seiten, 41 illus., 32 illus. in color)

ISBN: 9783319949352

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-94934-5

Language: English

DOI: 10.1007/978-3-319-94935-2

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Sheng, Quan Z.

UID:

Format: 1 Online-Ressource (XIX, 739 p.) , Ill.

Edition: Online-Ausgabe Springer eBook Collection / Computer Science

ISBN: 9781461475187

Additional Edition: Reproduktion von Web Services Foundations 2014

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-1-4614-7517-0

Language: English

Subjects: Computer Science

Keywords: Informatik ; Datenbankverwaltung ; Computerunterstützte Kommunikation ; Informationssystem ; Serviceorientierte Architektur

DOI: 10.1007/978-1-4614-7518-7

URL: Volltext

Author information: Bouguettaya, Athman

Author information: Sheng, Quan Z.

Author information: Daniel, Florian 1978-

UID:

Format: 1 Online-Ressource (XIX, 633 p.) , Ill.

Edition: Online-Ausgabe 2013 Springer eBook Collection / Computer Science Electronic reproduction; Available via World Wide Web

ISBN: 9781461475354

Note: Description based upon print version of record

Additional Edition: Reproduktion von Bouguettaya, Athman Advanced Web Services 2014

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-1-4614-7534-7

Language: English

Subjects: Computer Science

Keywords: Web Services ; Computerunterstützte Kommunikation ; Datenbankverwaltung ; Informationssystem ; Internetdienst ; Serviceorientierte Architektur

DOI: 10.1007/978-1-4614-7535-4

URL: Volltext

URL: Inhaltsverzeichnis

URL: Abstract

Author information: Bouguettaya, Athman

Author information: Sheng, Quan Z.

Author information: Daniel, Florian 1978-

UID:

Format: 1 Online-Ressource (XIX, 119 p.) , Ill.

Edition: Online-Ausgabe Springer eBook Collection / Computer Science

ISBN: 9783319122502

Additional Edition: Reproduktion von Noor, Talal H. Trust Management in Cloud Services 2014

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-319-12249-6

Language: English

Keywords: Trusted Computing ; Wirtschaftswissenschaften ; Cloud Computing ; Treuhand

DOI: 10.1007/978-3-319-12250-2

URL: Volltext

Author information: Bouguettaya, Athman

Author information: Sheng, Quan Z.

UID:

Format: 1 Online-Ressource (XIII, 582 Seiten, 220 illus., 117 illus. in color)

ISBN: 9783030116415

Series Statement: Lecture notes in business information processing 342

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-11640-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-11642-2

Language: English

Subjects: Economics

Keywords: Prozessmanagement ; Informationsmodellierung ; Konferenzschrift

DOI: 10.1007/978-3-030-11641-5

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Motahari-Nezhad, Hamid Reza

Author information: Sheng, Quan Z.

Author information: Daniel, Florian 1978-