Soft computing applications : proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016). Volume 1 /

Soft computing applications : proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016). Volume 1 /

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Bibliographic Details
Meeting name:International Workshop Soft Computing Applications (7th : 2016 : Arad, Romania)
Imprint:Cham : Springer, [2018]
©2018
Description:1 online resource (584 pages)
Language:English
Series:Advances in Intelligent Systems and Computing ; v. 633
Advances in intelligent systems and computing ; 633.
Subject:Soft computing -- Congresses.
COMPUTERS -- General.
Artificial intelligence.
Soft computing.
Electronic books.
Conference papers and proceedings.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11541622
Hidden Bibliographic Details
Varying Form of Title:SOFA 2016
Other authors / contributors:Balas, Valentina Emilia.
Jain, L. C.
Balas, Marius Mircea.
ISBN:9783319625218
3319625217
9783319625249
3319625241
3319625209
9783319625201
9783319625201
9783319625232
3319625233
Digital file characteristics:text file PDF
Notes:1 Introduction.
Includes bibliographical references and index.
Print version record.
Summary: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 " & nb sp; Business Process Management " Fuzzy Applications, Theory and Fuzzy Control " Computational Intelligence in Education " Soft Computing & Fuzzy Logic i n 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.
Other form:Print version: Balas, Valentina Emilia. Soft Computing Applications : Proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016), Volume 1. Cham : Springer International Publishing, ©2017 9783319625201
Standard no.:10.1007/978-3-319-62521-8
Table of Contents:
  • Preface; Keynote Presentations ; Introduction to Choquet Calculus; Biography; Emotional Facial Expressions: Communicative Displays or Psychological Universals?; Biography; Soft Data Analysis Based on Cluster Scaling; Biography; Why the Brain Can and the Computer Can't Biology Versus Silicon; Biography; Online Course: A Modern Trend of Teaching and Learning; Biography; Complex Dynamical System: Analysis and Control via Linear Matrix Inequality (LMI) Techniques; Biography; Theory and Practice of Business Intelligence; Biography; Round Table.
  • The Theory of Fuzzy Sets and Its Real-World ApplicationsBiography; Contents; Methods and Applications in Electrical Engineering; Digital Sunshade Using Head-up Display; Abstract; 1 Introduction; 2 Previous Works; 3 Digital Sunshade
  • Structure; 4 System Deployment
  • Functionality; 5 Conclusions; References; Basic Expert System; Abstract; 1 Introduction; 2 On the Expert Systems; 3 BES, the Basic Expert System; 4 The BES Tomato Disorder Diagnostic Expert System; 5 Discussion; Acknowledgement; References; Expert System for Predictive Diagnosis (1) Principles and Knowledge Base; 1 Introduction.
  • 2 The Issue of Underground Power Cables Monitoring2.1 Sustainable Development and Technical Achievements; 2.2 Underground Power Cable as Technical System; 2.3 Monitoring the Faults in Underground Power Cables; 3 Implementation Details Regarding the Expert System; 3.1 Describing the Knowledge; 3.2 Principle of Using the Knowledge; 3.3 Implementing the Working Algorithm; 4 Concluding Remarks; References; Expert System for Predictive Diagnosis (2) Implementing, Testing, Using; 1 Introduction; 2 Details on Specification and Building a Man-Machine Interface for an Expert System.
  • 2.1 General Functions2.2 Building the Interface of Expert System; 3 Testing and Using the Expert System; 3.1 Organizing of Testing; 3.2 Test Results; 4 Testing and Using the Expert System; 5 Concluding Remarks; References; GA Based Multi-stage Transmission Network Expansion Planning; Abstract; 1 Introduction; 2 Dynamic Network Expansion Planning; 3 Genetic Algorithm (GA) Based TNEP; 4 Software Tool; 5 Case Study; 6 Results and Discussions; 6.1 Base Case
  • Year 2015; 6.2 Maximum Expansion Solution
  • Year 2035; 6.3 Optimal Expansion Solution; 6.4 Comments on the Expansion Solution.
  • 7 ConclusionsReferences; Epidemic Algorithm Based Optimal Power Flow in Electric Grids; 1 Introduction; 2 Problem Formulation; 3 Autonomous Gossiping; 4 Krylov's Method Based Distributed Optimization; 4.1 Langarangian of the DCOPF Problem; 4.2 Arnoldi's Method; 5 Results; 5.1 3- Bus Case Study; 6 Conclusions; References; Issues Regarding the Tuning of a Minimum Variance Adaptive Controller; Abstract; 1 Introduction; 2 The Tuning of the Controller Parameters; 3 Conclusions; Acknowledgments; References; Adaptive Controller for Networked Control Systems Subjected to Random Communication Delays.

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