Application Of Soft Computing Techniques In Mechanical Engineering

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Application of Soft Computing Techniques in Mechanical Engineering

Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary
Application of Soft Computing Techniques in Mechanical Engineering Book PDF

Author : Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary
Publisher : CRC Press
Page : 301 pages
File Size : 51,9 Mb
Release : 2022-12-14
Category : Technology & Engineering
ISBN : 9781000813418

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Application of Soft Computing Techniques in Mechanical Engineering by Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary Pdf

This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.

Soft Computing Techniques and Applications in Mechanical Engineering

Ram, Mangey,Davim, J. Paulo
Soft Computing Techniques and Applications in Mechanical Engineering Book PDF

Author : Ram, Mangey,Davim, J. Paulo
Publisher : IGI Global
Page : 336 pages
File Size : 53,9 Mb
Release : 2017-12-29
Category : Technology & Engineering
ISBN : 9781522530367

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Soft Computing Techniques and Applications in Mechanical Engineering by Ram, Mangey,Davim, J. Paulo Pdf

The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields. In particular, these concepts have created significant developments in the engineering field. Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering. Featuring extensive coverage on relevant areas such as thermodynamics, fuzzy computing, and computational intelligence, this publication is an ideal resource for students, engineers, research scientists, and academicians involved in soft computing techniques and applications in mechanical engineering areas.

Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing

Sujata Dash,Subhendu Kumar Pani,Ajith Abraham,Yulan Liang
Advanced Soft Computing Techniques in Data Science IoT and Cloud Computing Book PDF

Author : Sujata Dash,Subhendu Kumar Pani,Ajith Abraham,Yulan Liang
Publisher : Springer Nature
Page : 443 pages
File Size : 53,9 Mb
Release : 2021-11-05
Category : Technology & Engineering
ISBN : 9783030756574

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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing by Sujata Dash,Subhendu Kumar Pani,Ajith Abraham,Yulan Liang Pdf

This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.

Practical Applications Of Soft Computing In Engineering

Sung-bae Cho
Practical Applications Of Soft Computing In Engineering Book PDF

Author : Sung-bae Cho
Publisher : World Scientific
Page : 439 pages
File Size : 47,5 Mb
Release : 2001-01-19
Category : Computers
ISBN : 9789814491709

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Practical Applications Of Soft Computing In Engineering by Sung-bae Cho Pdf

Soft computing has been presented not only with the theoretical developments but also with a large variety of realistic applications to consumer products and industrial systems. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program.This book highlights some of the recent developments in practical applications of soft computing in engineering problems. All the chapters have been sophisticatedly designed and revised by international experts to achieve wide but in-depth coverage.

Soft Computing in Smart Manufacturing

Tatjana Sibalija,J. Paulo Davim
Soft Computing in Smart Manufacturing Book PDF

Author : Tatjana Sibalija,J. Paulo Davim
Publisher : Walter de Gruyter GmbH & Co KG
Page : 291 pages
File Size : 52,5 Mb
Release : 2021-12-06
Category : Technology & Engineering
ISBN : 9783110693225

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Soft Computing in Smart Manufacturing by Tatjana Sibalija,J. Paulo Davim Pdf

This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.

Soft Computing Techniques for Engineering Optimization

Kaushik Kumar,Supriyo Roy,J. Paulo Davim
Soft Computing Techniques for Engineering Optimization Book PDF

Author : Kaushik Kumar,Supriyo Roy,J. Paulo Davim
Publisher : CRC Press
Page : 154 pages
File Size : 46,9 Mb
Release : 2019-02-21
Category : Mathematics
ISBN : 9780429622892

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Soft Computing Techniques for Engineering Optimization by Kaushik Kumar,Supriyo Roy,J. Paulo Davim Pdf

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

Application of Soft Computing Techniques in Civil Engineering

S. M. Yadav
Application of Soft Computing Techniques in Civil Engineering Book PDF

Author : S. M. Yadav
Publisher : MV Learning
Page : 0 pages
File Size : 43,5 Mb
Release : 2018-09-30
Category : Science
ISBN : 9387692817

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Application of Soft Computing Techniques in Civil Engineering by S. M. Yadav Pdf

Presents knowledge and experience of soft computing techniques in civil engineering. The principal concern of the book is to show how soft computing techniques can be applied to solve problems in research and practice.

Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Kedar Nath Das,Kusum Deep,Millie Pant,Jagdish Chand Bansal,Atulya Nagar
Proceedings of Fourth International Conference on Soft Computing for Problem Solving Book PDF

Author : Kedar Nath Das,Kusum Deep,Millie Pant,Jagdish Chand Bansal,Atulya Nagar
Publisher : Springer
Page : 634 pages
File Size : 54,9 Mb
Release : 2014-12-24
Category : Technology & Engineering
ISBN : 9788132222170

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving by Kedar Nath Das,Kusum Deep,Millie Pant,Jagdish Chand Bansal,Atulya Nagar Pdf

The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book is beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.

Soft Computing in the Design and Manufacturing of Composite Materials

Dragan Aleksendric,Pierpaolo Carlone
Soft Computing in the Design and Manufacturing of Composite Materials Book PDF

Author : Dragan Aleksendric,Pierpaolo Carlone
Publisher : Woodhead Publishing
Page : 320 pages
File Size : 54,8 Mb
Release : 2015-01-23
Category : Technology & Engineering
ISBN : 9781782421801

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Soft Computing in the Design and Manufacturing of Composite Materials by Dragan Aleksendric,Pierpaolo Carlone Pdf

Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance. Introduction of soft computing in the composite materials engineering Includes accurate and detailed analysis of the current state of the art in the field Development of the intelligent models for design and manufacturing of composite material Details composite material performance prediction Optimization of the manufacturing process of composite materials

Soft Computing in Engineering Design and Manufacturing

Pravir K. Chawdhry,Rajkumar Roy,Raj K. Pant
Soft Computing in Engineering Design and Manufacturing Book PDF

Author : Pravir K. Chawdhry,Rajkumar Roy,Raj K. Pant
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 44,8 Mb
Release : 1998
Category : Computers
ISBN : 3540762140

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Soft Computing in Engineering Design and Manufacturing by Pravir K. Chawdhry,Rajkumar Roy,Raj K. Pant Pdf

This book is a collection of some 47 research papers that were presented in June 1997 at the 2nd Online World Conference in Soft Computing. It covers the state-of-the-art techniques and applications of soft computing which will stimulate further advances towards the next generation of intelligent machines. Soft Computing in Engineering Design and Manufacturing will be of interest to graduate students and researchers involved in soft computing. It will also be useful for those working in related industrial environments.

Predictive Analytics for Mechanical Engineering: A Beginners Guide

Parikshit N. Mahalle,Pravin P. Hujare,Gitanjali Rahul Shinde
Predictive Analytics for Mechanical Engineering A Beginners Guide Book PDF

Author : Parikshit N. Mahalle,Pravin P. Hujare,Gitanjali Rahul Shinde
Publisher : Springer Nature
Page : 109 pages
File Size : 41,5 Mb
Release : 2023-08-16
Category : Technology & Engineering
ISBN : 9789819948505

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Predictive Analytics for Mechanical Engineering: A Beginners Guide by Parikshit N. Mahalle,Pravin P. Hujare,Gitanjali Rahul Shinde Pdf

This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Ali Ahmadian,Soheil Salahshour
Soft Computing Approach for Mathematical Modeling of Engineering Problems Book PDF

Author : Ali Ahmadian,Soheil Salahshour
Publisher : CRC Press
Page : 160 pages
File Size : 45,7 Mb
Release : 2021-09-02
Category : Computers
ISBN : 9781000432466

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Soft Computing Approach for Mathematical Modeling of Engineering Problems by Ali Ahmadian,Soheil Salahshour Pdf

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Soft Computing

Devendra K. Chaturvedi
Soft Computing Book PDF

Author : Devendra K. Chaturvedi
Publisher : Springer Science & Business Media
Page : 620 pages
File Size : 41,6 Mb
Release : 2008-08-20
Category : Computers
ISBN : 9783540774808

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Soft Computing by Devendra K. Chaturvedi Pdf

This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

Applied Soft Computing Techniques for Renewable Energy

Amit Kumar Thakur
Applied Soft Computing Techniques for Renewable Energy Book PDF

Author : Amit Kumar Thakur
Publisher : Nova Science Publishers
Page : 278 pages
File Size : 45,9 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 1536181803

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Applied Soft Computing Techniques for Renewable Energy by Amit Kumar Thakur Pdf

This book provides a better understanding of Fuzzy set theory, Fuzzy logic and Neural Networks and various other techniques seem very well suited for modeling and controlling a real system. Energy is of major importance to civilization, because it is driving force which binds human race. The estimation of energy in the form of renewable and sustainable is one of the important aspects to understand the how resources are harnessed and to predict what might happen under various possible future conditions. Using available modelling techniques to generate the best algorithms, the objective is to determine the best solution in terms of comparing the performances of the solutions through different parameters for a specific case. Consumption of Fossil fuels at a rapid pace has generated an alarming situation and with the subsequent increase in the number of vehicle the pollution level has reached well beyond human's control. This is frightening enough to observe the fact that the pollution level has surpassed all records and the need of the hour is to find an alternate fuel which can really be of great assistance in reducing the exhaust emission and augment the performance parameters of engine. Major researches are carried out on various engines to draw closer towards a realistic solution. Experiments performed on various engines are considered to be time consuming and the expenses met to perform these experiments are too costly, so the need of soft computing techniques involved in this area. Soft computing can be better described as the process to find the solution to an inexact problem. Soft computing has showed lot of potential in giving the researchers the exact solution may be in case of validating or predicting the performance and emission parameters. Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Expert System (FES), Response Surface Methodology (RSM) and Support Vector Machine (SVM) are the various soft computing techniques widely used. This book focuses on to carry out the comprehensive review and various other experimental works of various researchers who have carried out the work on these various soft computing techniques on various engines with various alternative fuels On the basis of modelling techniques, time is saved to a great extent and the capital investment involved is comparably very low. Various modelling technniques are being readily used to predict the performance parameters for various engines and modelling techniques have become the readily available tool to compare and validate the experimental work being carried out by researchers to get accurate matching with the experimental data.The benefit of this issue will be at large in connecting with varieties of work done in the field of Biomass which includes wood and wood waste, municipal solid waste. Landfill gas and biogas. Ethanol, Biodiesel, Hydropower, Geothermal, Wind, Solar.Thus soft computing techniques are fast and reliable hence, they can be a substitute for conventional experiments.

Soft Computing and Intelligent Systems Design

Fakhreddine O. Karray,Clarence W. De Silva
Soft Computing and Intelligent Systems Design Book PDF

Author : Fakhreddine O. Karray,Clarence W. De Silva
Publisher : Addison Wesley Longman
Page : 592 pages
File Size : 42,9 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015059578040

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Soft Computing and Intelligent Systems Design by Fakhreddine O. Karray,Clarence W. De Silva Pdf

Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.