1.

Record Nr.

UNISA996465817903316

Titolo

Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Marc Daumas

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010

ISBN

1-280-38972-9

9786613567642

3-642-16292-4

Edizione

[1st ed. 2010.]

Descrizione fisica

1 online resource (XI, 299 p. 81 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 6408

Disciplina

006.3

Soggetti

Artificial intelligence

Application software

Information storage and retrieval

Database management

Computers

Data mining

Artificial Intelligence

Information Systems Applications (incl. Internet)

Information Storage and Retrieval

Database Management

Computation by Abstract Devices

Data Mining and Knowledge Discovery

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Invited Papers -- Relationships between Qualitative and Quantitative Scales for Aggregation Operations: The Example of Sugeno Integrals -- User Privacy in Web Search -- A Bibliometric Index Based on Collaboration Distances -- Regular Papers -- Measuring the Influence of the kth Largest Variable on Functions over the Unit Hypercube -- Measuring the Interactions among Variables of Functions over the Unit



Hypercube -- Weighted Quasi-arithmetic Means and Conditional Expectations -- Modelling Group Decision Making Problems in Changeable Conditions -- Individual Opinions-Based Judgment Aggregation Procedures -- Aggregation of Bounded Fuzzy Natural Number-Valued Multisets -- Sugeno Utility Functions I: Axiomatizations -- Sugeno Utility Functions II: Factorizations -- Managing Information Fusion with Formal Concept Analysis -- Indefinite Kernel Fuzzy c-Means Clustering Algorithms -- Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations -- A Generalized Approach to the Suppressed Fuzzy c-Means Algorithm -- Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints -- Gallbladder Segmentation in 2-D Ultrasound Images Using Deformable Contour Methods -- Pattern Mining on Stars with FP-Growth -- A Computational Intelligence Based Framework for One-Subsequence-Ahead Forecasting of Nonstationary Time Series -- Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid -- Revisiting Natural Actor-Critics with Value Function Approximation -- A Cost-Continuity Model for Web Search -- An Enhanced Framework of Subjective Logic for Semantic Document Analysis -- Ontology-Based Anonymization of Categorical Values -- Rational Privacy Disclosure in Social Networks -- Towards Semantic Microaggregation of Categorical Data for Confidential Documents -- Using Classification Methods to Evaluate Attribute Disclosure Risk -- A Misleading Attack against Semi-supervised Learning for Intrusion Detection.

Sommario/riassunto

This book constitutes the proceedings of the 7th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2010, held in Perpignan, France, in October 2010. The 25 papers presented were carefully reviewed and selected from 43 submissions. The volume also contains extended abstracts of the three invited papers. The topics covered are aggregation operators and decision making; clustering and similarity; computational intelligence; and data privacy.



2.

Record Nr.

UNINA9910299935403321

Autore

Boyadjiev Christo

Titolo

Modeling of Column Apparatus Processes / / by Christo Boyadjiev, Maria Doichinova, Boyan Boyadjiev, Petya Popova-Krumova

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-89966-X

Edizione

[2nd ed. 2018.]

Descrizione fisica

1 online resource (464 pages)

Collana

Heat and Mass Transfer, , 1860-4846

Disciplina

660.28423

Soggetti

Thermodynamics

Heat engineering

Heat - Transmission

Mass transfer

Chemical engineering

Fluids

Fluid mechanics

Engineering Thermodynamics, Heat and Mass Transfer

Industrial Chemistry/Chemical Engineering

Fluid- and Aerodynamics

Engineering Fluid Dynamics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Part I: Qualitative Analysis of Column Apparatuses Processes -- One-Phase Processes -- Two-Phase Processes -- Three-Phase Processes -- Part II: Quantitative Analysis of Column Apparatuses Processes -- Column Reactors Modeling -- Interphase Mass Transfer Processes Modeling -- Industrial Column Chemical Reactors -- Part III: Computer Calculation Problems -- Perturbation Method Approach -- Two-Coordinate Systems Problem -- Multi-Step Modeling Algorithms -- Part IV: Waste Gases Purification in Column Apparatuses -- Bi-Zonal Absorption Apparatus -- Absorption-Adsorption Method -- Co-Current Apparatus -- Part IV: Modeling of Processes in Industrial Column Apparatuses. Industrial Types of Convection-Diffusion and Average-Concentration Models.



Sommario/riassunto

This new edition includes brand-new developments in the modeling of processes in the column apparatuses. It analyzes the radial velocity component and axial variation in the axial velocity in the column. These models are described in five new chapters. The book presents models of chemical and interphase mass transfer processes in industrial column apparatuses, using convection-diffusion and average-concentration models. It also introduces average concentration models for quantitative analysis, which use the average values of the velocity and concentration over the cross-sectional area of the column. The new models are used to analyze a broad range of processes (simple and complex chemical reactions, physical and chemical absorption, physical and chemical adsorption, catalytic reactions in the cases of physical and chemical adsorption mechanism), and make it possible to model sulfur dioxide gas purification processes.