Practical Issues of Intelligent Innovations

✍ Scribed by Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 337
• Series: Studies in Systems, Decision and Control 140
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book presents recent advances in the field of intelligent systems. Composed of fourteen selected chapters, it covers a wide range of research that varies from applications in industrial data science to those in applied science. Today the word INNOVATION is more and more connected with the words INTELLIGENT and SECURITY, as such the book discusses the theory and applications of hot topics such as big data, education applications of robots with different levels of autonomy, knowledge-based modeling and control of complex dynamical systems, sign-based synthesis of behavior, security issues with intelligent systems, innovative intelligent control design, neuromorphic computation, data-driven classification, intelligent modeling and measurement innovations, multisensor data association, personal education assistants, a modern production architecture, study of peer review and scientometrics, intelligent research on bug report data, and clustering non-Gaussian data. The broad and varied research discussed represents the mainstream of contemporary intelligent innovations that are slowly but surely changing the world.

✦ Table of Contents

Front Matter ....Pages i-xii
Non-conventional Control Design by Sigmoid Generated Fixed Point Transformation Using Fuzzy Approximation (Adrienn Dineva, József K. Tar, Annamária Várkonyi-Kóczy, János T. Tóth, Vincenzo Piuri)....Pages 1-15
From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications (Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Akshay Raj Gollahalli, Kaushalya Kumarasinghe, Vivienne Breen, Neelava Sengupta et al.)....Pages 17-36
Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data (Adrian Rubio-Solis, Ali Baraka, George Panoutsos, Steve Thornton)....Pages 37-51
Network Flows and Risks (Vassil Sgurev, Stanislav Drangajov)....Pages 53-88
Decreasing Influence of the Error Due to Acquired Inhomogeneity of Sensors by the Means of Artificial Intelligence (Vladimir Jotsov, Orest Kochan, Su Jun)....Pages 89-130
Personal Assistants in a Virtual Education Space (Jordan Todorov, Vladimir Valkanov, Stanimir Stoyanov, Borislav Daskalov, Ivan Popchev, Daniela Orozova)....Pages 131-153
Practical Guidelines for Design of Human-in-the-Loop Systems: Lessons Learned (Vasily Moshnyaga)....Pages 155-179
NEO-Fuzzy Neural Networks for Knowledge Based Modeling and Control of Complex Dynamical Systems (Yancho Todorov, Margarita Terziyska)....Pages 181-214
Sign-Based Representation and World Model of Actor (Gennady Osipov)....Pages 215-230
Responsive Production in Manufacturing: A Modular Architecture (Maria Marques, Carlos Agostinho, Gregory Zacharewicz, Raul Poler, Ricardo Jardim-Goncalves)....Pages 231-254
Multisensor Data Association by Using the Polar Hough Transform (Ivan Garvanov)....Pages 255-276
Scientific Research Funding Criteria: An Empirical Study of Peer Review and Scientometrics (D. Devyatkin, R. Suvorov, I. Tikhomirov, O. Grigoriev)....Pages 277-292
Comparing Robots with Different Levels of Autonomy in Educational Setting (Mirjam de Haas, Alexander Mois Aroyo, Pim Haselager, Iris Smeekens, Emilia Barakova)....Pages 293-311
Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components (Ivan Nagy, Evgenia Suzdaleva)....Pages 313-330

✦ Subjects

Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation