Lean Management Solutions for Contemporary Manufacturing Operations: Applications in the automotive industry covers recent techniques aimed at improving manufacturing activities in automotive factories in the time of the fourth industrial revolution. The book informs the reader about some improvements in hard skills (such as technical concepts, new tools, processes, and applied designs), as well as soft skills (strategic planning and the psychology of motivating human resources in manufacturing setups). The book also presents insight for managers who are working with a niche of employees with disabilities with respect to the automotive industry. Topics in the book include: Application of Graph Theory in Workplace Design Applied Design Disability and the 4th Industrial Revolution People Development, Motivation & Results Low Cost Logistics Solutions Agile Methodologies in Manufacturing Projects This book is a concise, informative reference which updates the reader on recent strategies to maximize productivity in the auto manufacturing sector.

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

This book focuses on cases and studies of interest to mechanical engineers and industrial technicians. The considered applications in this volume are widely used in several industrial fields particularly in the automotive and aviation industries. Readers will understand the theory and techniques which are used in each application covered in each chapter. <p> The book contents include the following topics: <p> Numerical analysis of hydrokinetic turbines <p> Computational fluid dynamics of a CuO based nanofluid in mini-channel cross-sections <p> Orthodontic biomechanics of a NiTi arch wires <p> Reynold’s number effects on fluid flow through Savonius rotors <p> Effect of operating parameters on Zn-Mn alloys deposited from additive-free chloride bath <p> Optical properties and stability of a blue-emitting phosphor (Sr2P2O7:Eu2+) Under UV and VUV excitation <p> Numerical study of the influence of nanofluid type on thermal improvement in a three dimensional mini channel <p> Electrochemical studies and characterization of Zn-Mn coatings deposited in the presence of novel organic additives <p> Prediction of fire and smoke propagation under a range of external conditions <p> Structural design of a 10 kW H-Darrieus wind turbine <p> The presented case studies and development approaches aim to provide the readers, such as graduate students, PhD candidates and professionals with basic and applied information broadly related to mechanical engineering and technology.

This Global Emerging Innovation Summit (GEIS 2021) book summarizes the proceedings of the international summit held on April 9th and 10th, 2021. The meeting was organized by Lovely Professional University (LPU) and supported by ENEA - the National Agency for New Technologies, Energy and Sustainable Economic Development. GEIS-2021 is the most comprehensive conference focused on the diverse facets of the innovations in different technical domains. The goal of this conference is to bring together researchers from academia and industry as well as practitioners in allied fields to share their ideas and solutions related to issues and challenges that rely on the use of technology. The conference highlights the multifaceted nature of innovation in engineering and natural sciences. Attendees are given an opportunity to exchange new ideas to establish research relations to find global partners for future collaboration. Authors from academics, government agencies and industries, contributed several papers which truly make the conference a diverse and unique platform in the region for a productive and interdisciplinary dialogue. This volume features 59 contributions which were selected after review by the editors. Chapters cover emerging developments in a broad range sectors including aviation, transportation, pharmaceutical chemistry, medicine, life sciences, space science, electronics, security, artificial intelligence, communications, energy and much more. This compilation is a handy resource for readers who are seeking updates in the latest trends and innovative developments in technology and engineering.

A variety of computing techniques have been developed in recent times in combination with emerging technologies. Such techniques, coupled with an increase in computing power, has given credence to an information based paradigm in many fields (also termed as informatics). Informatics computing has evolved into complex structures of heterogeneous methods involving multiple data processing applications. Research on new technologies also brings new tools to use along with continuous improvements in existing tools. This reference presents contributions that cover emerging computing techniques and their implementation in computer science, informatics and engineering, as well as other important topics that are often discussed in the modern computing environment. Chapters in this book are contributed by researchers, academicians and industry experts and inform readers about current computer technologies and applications. The topics covered in the book include, online privacy, internet gaming disorder, epidemiological modelling (including COVID-19), computer security and malware detection, document sentiment analysis, and project management. This book is an interesting update on new trends in computing techniques and applications for readers interested in the latest developments in computer science.

How to Design Optimization Algorithms by Applying Natural Behavioral Patterns is a guide book that introduces readers to optimization algorithms based on natural language processing. Readers will learn about the basic concept of optimization, optimization algorithm fundamentals and the methods employed to formulate natural ideas and behaviors into algorithms. Readers will learn how to create their own algorithm from the information provided in the text. The book is a simple reference to students and programming enthusiasts who are interested in learning about optimization and the process of designing algorithms designed to mimic natural phenomena.

Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments is a 2-part book set which presents discoveries, innovative ideas, concepts, practical solutions, and novel applications of Human-Computer Interaction (HCI) and related disciplines such as artificial intelligence, machine learning, data mining, computer vision, and natural language processing. The book provides readers with information about HCI trends which are shaping the future of smart, interconnected urban and industrial environments. Contributions are authored by experts and scientists in the field of HCI and its interrelated disciplines from 8 different countries – Chile, China, Croatia, India, Iran, Malaysia, Peru, and South Korea. The chapters of this volume present novel and state of the art research works conducted at the intersection of HCI aimed at developing trust, increasing user acceptance, augmenting user performance, and fostering human-technology partnerships. Chapters cover usability testing in digital healthcare systems, user experience testing of handicapped children and assistive technologies for visually impaired users and a gamified user experience design for learning. The volume also presents a review of twitter usability testing among Indian users, along with specific cases of arthritis diagnostic systems, meteorological draught analysis and the role of EUPS in improving GUI design to improve the user experience. Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments is an informative reference for scientists, researchers, and developers in both academia and industry who wish to learn, design, implement, and apply these emerging technologies in HCI in different sectors, with the goal of realizing futuristic technology-driven living and functional smart cities and environments.

This reference provides the reader with focused information about microstrip antenna design and applications. Readers are first introduced to the basic design of microstrip antennas. Subsequent chapters explain how microstrip antennas are suitable for practical applications. These chapters cover topics such as fractal and defected ground structure antennas, microstrip antenna evaluation, and the use of microstrip antennas in mobile communications and IoT applications. Scholars, researchers, and industrial professionals involved in the fields of electronics and electrical engineering as well as instrumentation will benefit from the information given in this book.

This handbook is a concise yet complete guide to fundamental engineering requirements and quality characteristics that users, developers, and marketers of mobile applications should be aware of. It provides detailed definitions and descriptions of eight key software application features that are integral to the overall design and user experience goals, and which may often overlap with certain functionalities. The book explains the essential aspects of these features clearly to novice developers. Readers will also learn about how to optimize the listed features to tailor their applications to the needs of their users. &lt;/P&gt; Key Features: &lt;/P&gt; - Presents detailed information about eight different features which guide mobile application development: capability, reliability, usability, charisma, security, performance, mobility and compatibility &lt;/P&gt; - Reader-friendly, structured layout of each chapter including relevant illustrations and clear language, designed for quick learning &lt;/P&gt; - Focus on both software function and user perception of applications on mobile devices &lt;/P&gt; - Includes a handy appendix with information about mobile learning projects and related work packages &lt;/P&gt; Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features is the ideal learning tool for novice software developers, computer science students, IT enthusiasts and marketers who want to design or develop mobile apps for an optimal user experience.

The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. </p> A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. </p> The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.