Soft Computing In Smart Manufacturing
DOWNLOAD
Download Soft Computing In Smart Manufacturing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Soft Computing In Smart Manufacturing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Soft Computing In Smart Manufacturing
DOWNLOAD
Author : Tatjana Sibalija
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-06
Soft Computing In Smart Manufacturing written by Tatjana Sibalija and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
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 In Smart Manufacturing And Materials
DOWNLOAD
Author : Sudan Jha
language : en
Publisher: Elsevier
Release Date : 2025-02-03
Soft Computing In Smart Manufacturing And Materials written by Sudan Jha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.
Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.
Soft Computing In Smart Manufacturing
DOWNLOAD
Author : Tatjana Sibalija
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-06
Soft Computing In Smart Manufacturing written by Tatjana Sibalija and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
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 In Industry 5 0 For Sustainability
DOWNLOAD
Author : C Kishor Kumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Soft Computing In Industry 5 0 For Sustainability written by C Kishor Kumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs. The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.
Soft Computing
DOWNLOAD
Author : Fred Aminzadeh
language : en
Publisher: Prentice Hall
Release Date : 1994
Soft Computing written by Fred Aminzadeh and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This volume presents a collection of articles on state-of-the-art soft computing and AI applications that cover broad domains and many disciplines. The authors explain the evolution of the mathematics behind the intelligent systems; consider fuzzy logic and neural network applications; and explore several AI applications.
Smart Process Plants Software And Hardware Solutions For Accurate Data And Profitable Operations
DOWNLOAD
Author : Miguel J. Bagajewicz
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-09-22
Smart Process Plants Software And Hardware Solutions For Accurate Data And Profitable Operations written by Miguel J. Bagajewicz and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-22 with Technology & Engineering categories.
A Detailed Guide to the New Generation of Smart Process Plants Maximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the value of the information produced are included. The book discusses optimal instrumentation type, quality, precision, and location along with preventive maintenance techniques. Practical examples throughout the book demonstrate how to perform essential calculations. Smart Process Plants covers: Measurement instrument performance and measurement errors Variable classification and canonical representation Linear, nonlinear, and dynamic data reconciliation Gross error detection, equivalency, size elimination, and estimation Accuracy of estimators Value of accuracy, control strategies, parametric fault identification, and instrumentation upgrade Maintenance optimization
Soft Computing Agents
DOWNLOAD
Author : Vincenzo Loia
language : en
Publisher:
Release Date : 2002
Soft Computing Agents written by Vincenzo Loia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
A study of soft computing agents. It seeks to: explore the development of soft computing-based agents; examine the role of soft computing-based technology in facets of agent design; and cross-fertilise ideas on the soft computing perspective to the development of agent-based systems.
Smart Manufacturing With Artificial Intelligence
DOWNLOAD
Author : Jake Krakauer
language : en
Publisher: Computer and Automated Systems Association of Sme
Release Date : 1987
Smart Manufacturing With Artificial Intelligence written by Jake Krakauer and has been published by Computer and Automated Systems Association of Sme this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Secured Authentication System For Internet Of Things
DOWNLOAD
Author : Gowtham Mohan
language : en
Publisher: GRIN Verlag
Release Date : 2024-04-19
Secured Authentication System For Internet Of Things written by Gowtham Mohan and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-19 with Computers categories.
Academic Paper from the year 2024 in the subject Computer Sciences - Internet of Things, IOT, grade: A, Free University of Berlin (The National Institute of Engineering, Mysore), course: Ph.D, language: English, abstract: The key objectives defined in this thesis are given as follows: To analyse the different security breaches in the IoT Ecosystem. To develop a lightweight cryptographic scheme for secured Authentication in IoT. To develop a multilevel security model by using Enhanced Cryptosystem for secured Authentication in IoT. To ensure reliable and secure communication and access across multiple co-operatively communicating devices in IoT ecosystems ensuring optimal security and authentication system is must. Though, IoT demands ensuring security and authentication for both “device level security” and “data security under communication”. Noticeably, the device level security addresses attack resilience from any unwanted or unexpected intruder by applying certain authentication variables or key agreement policies. However, in the last few years, the events pertaining to smart card loss attack (SCLA), Brute-Force attack, impersonation attack, data sniffing attack etc., have questioned major at-hand security solutions. The irony is, in the majority of IoT systems, the access information or the key agreement information is saved or preserved onto the local memory, which often broadens the horizon for data loss, or attack. In such classical approaches the possibility of SCLA, Impersonation and Brute-force attack can’t be neglected. And therefore, ensuring both system level access authentication is inevitable. In other words, strengthening data security in IoT systems is equally significant like device level security and authentication. Once system considers both data level security as well as device level authentication system retaining quality of content and hardware efficiency becomes equally inevitable. On the other hand, maintaining efficacy of the security system with higher authentication correctness amongst the gateways and communication devices is must. It demands a collaborative low-cost or lightweight security model to enable security while maintaining IoT- expectations like low-computation, lightweight computation, low-power consumption, better data quality, attack resilience and fast in response. It can be considered as the key driving force behind this research.
Brands And Their Companies
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2002
Brands And Their Companies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Business names categories.