Studies In Computational Intelligence Research Articles

Journal Vol – 19 No -1, January 2024 Journal > Journal > Journal Vol – 19 No -1, January 2024 RELIABILITY OPTIMIZATION OF A DEGRADED SYSTEM UNDER PREVENTIVE MAINTENANCE USING GENETIC ALGORITHM Authors: Shakuntla Singla, Diksha Mangla, Poonam Panwar, S Z Taj DOI NO: https://doi.org/10.26782/jmcms.2024.01.00001 admin January 20, 2024 Abstract: The reliability parameters of a Mathematical model are analyzed for

The present paper deals with the lacunary interpolation problem called the mixed values problem or (0, 3; 0, 2) problem for which known data points are function values at all the points, third derivatives at even knots, and second derivatives at odd knots of the unit interval I = [0,1]. For this problem, we obtained an interpolating function. The paper is divided into two parts, where we have shown that the spline function exists and is convergent.

Read Book [PDF] Robot Operating System (ROS): The Complete Reference (Volume 1) (Studies in Computational Intelligence (625)) [Full

Read Book [PDF] Robot Operating System (ROS): The Complete Reference (Volume 1) (Studies in Computational Intelligence (625)) [Full

A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences.

SUMMARYEngineering gene and protein sequences with defined functional properties is a major goal of synthetic biology. Deep neural network models, together with gradient ascent-style optimization, show promise for sequence design. The generated sequences can however get stuck in local minima and often have low diversity. Here, we develop deep exploration networks (DENs), a class of activation-maximizing generative models, which minimize the cost of a neural network fitness predictor by gradient descent. By penalizing any two generated patterns on the basis of a similarity metric, DENs explicitly maximize sequence diversity. To avoid drifting into low-confidence regions of the predictor, we incorporate variational autoencoders to maintain the likelihood ratio of generated sequences. Using DENs, we engineered polyadenylation signals with more than 10-fold higher selection odds than the best gradient ascent-generated patterns, identified splice regulatory sequences predicted to result in highly differential splicing between cell lines, and improved on state-of-the-art results for protein design tasks.

Ubiquitous Computing and the Internet of Things: Socio-Economic Transformation and Regulation (Book Review: Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT [Electronic resource] / ed. by E. G. Popkova. – Cham : Springer Science + Business Media, 2019. – (Studies in Computational Intelligence ; vol. 826))

In fact, the paper is a review of the book “Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT”. At the same time, a brief description of the main problematic issues covered by the corporate authors consisting of the representatives of various branches of science is given. The book contains the best research materials on the results of several scientific events organized and conducted by the Institute of Scientific Communication (Volgograd, Russia) together with the leading Universities of the Volgograd region. The authors of the joint monograph are more than 700 scientists from different cities of Russia. Out of 3000 applications, 157 advanced scientific developments in the field of prerequisites of formation, processes of formation, transformations, as well as the legal support of the social institutions in demand in the context of the development of the concept of digital modernization – the Internet of things – were selected. The book is intended for a wide target audience, which consists of scientists of different generations, different disciplinary and sectoral (within the same science) affiliation. Among them are young researchers (students, graduate students), as well as scientists who have already received recognition from the world scientific community (professors and teachers of universities), studying the socio-economic and managerial-legal consequences of the emergence and spread of digital technologies, including the Internet of things. In addition, the readers can be all individuals and legal entities who are interested in the development of the information society, information and telecommunication and digital technologies. The materials are structured in four logical parts. The first part is devoted to the study of the essence of the process of institutionalization and legal regulation of the information society. In the second part the digital economy is analyzed in the context of the economy sectors. The third part deals with the promising investment and innovation projects in entrepreneurship in the context of its digital modernization. In the fourth part the features of the state and corporate regulation, infrastructure support and maintenance of business security, developing on the basis of the Internet of things, are studied.

A new approach for disruption management in airline operations control

As a sequel of a recent Ph.D. thesis at the University of Porto and LIACC research lab, a new book appeared at Springer, Series: Studies in Computational Intelligence, Vol. 562, 2014, XII, 242 p., entitled A New Approach for Disruption Management in Airline Operations Control by Antonio J. M. Castro, Ana Paula Rocha, and Eugénio Oliveira.

Advanced and Intelligent Control in Power Electronics and Drives [Book News

This book is the new volume 531 in the Springer series Studies in Computational Intelligence with Janusz Kacprzyk from the Polish Academy of Sciences, Warsaw, as series editor. The editors have invited key persons in their research area, and the foreword is written by leading researcher Prof. Ralph Kennel from the Technical University of Munich, Germany, specialist in model predictive control in power electronics and drives. This makes a good recommendation for the book. This book is written by key specialists working in the area of modern advanced control methods, which penetrates the current implementation of power converters and drives. Although some of the presented methods are still not adopted by the industry, they create new solutions with further research and application potential. The chapters of the book are divided into three parts: Advanced Power Electronic Control in Renewable Energy Sources; Predictive Control of Power Converters and Drives; and Neuro and Nonlinear Control of Power Converters and Drives. The book has strong monograph attributes and is richly illustrated with results of original research. The list of references is given in each chapter, which includes newly published materials. Therefore, I do not hesitate to recommend this new attractive monograph as a text for a wide audience of researchers and engineering educators. Also, practicing engineers in the industry will gain valuable insight on the topics of advanced and intelligent control in power electronics and drives.

Studying the application of ant colony optimization and river formation dynamics to the steiner tree problem

River formation dynamics (RFD) (Rabanal et al. in Using river formation dynamics to design heuristic algorithms. In: Unconventional computation, UC’07, LNCS 4618. Springer, pp 163–177, 2007; Rabanal et al. in Applying river formation dynamics to solve NP-complete problems. In: Chiong R (ed) Nature-inspired algorithms for optimisation, volume 193 of Studies in Computational Intelligence. Springer, pp 333–368, 2009) is a heuristic optimization algorithm based on copying how water forms rivers by eroding the ground and depositing sediments. We apply this method to solve the Steiner tree problem (STP), a well-known NP-hard problem having applications to areas like telecommunications routing or VLSI design among many others. We show that the gradient orientation of RFD makes it especially suitable for solving this problem, and we report the results of several experiments where RFD, as well as an implementation of Ant Colony Optimization (ACO) (Dorigo in ant colony optimization. MIT Press, New York, 2004), are applied to some benchmark graphs from the SteinLib Testdata Library (Koch in Steinlib testdata library. Technical report, Konrad-Zuse-Zentrum fur Informationstechnik Berlin, 2009). We also study the capability of RFD and ACO to deal with a scenario where the graph is modified after a solution is found, and next a solution for the new graph has to be found - either by running the algorithm from scratch or by adapting the structures previously formed by the algorithms to construct their previous solution.

Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence

Tina Yu, David Davis, Cem Baydar, Rajkumar Roy (eds): Evolutionary Computation in Practice: Studies in Computational Intelligence

Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence) (Kaburlasos, V.G.; 2006) [book review

This book on lattice theory is organized into four parts. Part I, including chapters 1 and 2, describes the origins of lattice theory as well as a relevant literature review. Part II, including chapters 3-7, details novel mathematical tools as well as a number of algorithms for clustering, classification, and regression. Part III, including chapters 8-10, presents both experimental results and connections with established paradigms. Part IV, including chapters 11 and 12, discusses practical implementation issues. The three appendices include useful mathematical definitions, mathematical proofs of theorems in this book. and useful geometric interpretations on the plane. The presentation of the material is clear, concise, and systematic and the text is straightforward and understandable. This timely book is an excellent choice for readers who wish to familiarize themselves with a promising, emerging technology.