INTERMAG is the premier conference on all aspects of applied magnetism, and all members of the international scientific communities interested in new developments in magnetism and associated technologies are invited to attend and submit their latest findings
The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Fourth Industrial Revolution (IR 4.0)” served as a platform for researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present and exchange their research findings and development activities through oral presentations. The book covers various topics of interest, including: Robotics, Control, Mechatronics and Automation Telecommunication Systems and Applications Electronic Design and Applications Vision, Image and Signal Processing Electrical Power, Energy and Industrial Applications Computer and Information Technology Biomedical Engineering and Applications Intelligent Systems Internet-of-things Mechatronics Mobile Technology
Multiferroics, materials with a coexistence of magnetic and ferroelectric order, provide an efficient route for the control of magnetism by electric fields. The authors cover multiferroic thin-film heterostructures, device architectures and domain/interface effects. They critically discuss achievements as well as limitations and assess opportunities for future applications.
This book presents an overview of some trends of research and development in the area of magnetic sensors, from materials to applications. A first focus is made on the topics of amorphous micro-wires and thin-film structures and their fabrication, characterization, and application for magnetic sensors based on the effects of giant magneto-impedance (GMI) and magneto-elasticity. A second section deals with the magneto-impedance (MR) sensors, from the development of new materials to sensor implementation and applications. Intended for readers wishing to acquire understanding of the current trends in these areas and comprehension of the issues and the potential of applications of these sensors, this book addresses exciting topics in this field.
Handbook of Magnetic Materials, Volume 31 highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely and field specific topics, each contributed to by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of Magnetic Materials series
Advanced memory technologies are impacting the information era, representing a vibrant research area of huge interest in the electronics industry. The demand for data storage, computing performance and energy efficiency is increasing exponentially and will exceed the capabilities of current information technologies. Alternatives to traditional silicon technology and novel memory principles are expected to meet the need of modern data-intensive applications such as “big data” and artificial intelligence (AI). Functional materials or methodologies may find a key role in building novel, high speed and low power consumption computing and data storage systems. This book covers functional materials and devices in the data storage areas, alongside electronic devices with new possibilities for future computing, from neuromorphic next generation AI to in-memory computing. Summarizing different memory materials and devices to emphasize the future applications, graduate students and researchers can systematically learn and understand the design, materials characteristics, device operation principles, specialized device applications and mechanisms of the latest reported memory materials and devices.
The trend towards larger power ratings of wind turbines asks for innovations in power generation, which requires lower weight and cost, smaller size, higher efficiency and reliability. Due to high current-carrying capability and no DC losses of superconductors, a superconducting wind generator can have a superior power to weight/volume ratio with high efficiency. The work in the book mainly focuses on the feasibility study and design of a superconducting DC wind generator.
An important guide that reviews the basics of magnetic biosensor modeling and simulation Magnetic Sensors for Biomedical Applications offers a comprehensive review of magnetic biosensor modelling and simulation. The authors—noted experts on the topic—explore the model's strengths and weaknesses and discuss the competencies of different modelling software, including homemade and commercial (for example Multi-physics modelling software). The section on sensor materials examines promising materials whose properties have been used for sensing action and predicts future smart-materials that have the potential for sensing application. Next, the authors present classifications of sensors that are divided into different sub-types. They describe their working and highlight important applications that reveal the benefits and drawbacks of relevant designs. The book also contains information on the most recent developments in the field of each sensor type. This important book: Provides an even treatment of the major foundations of magnetic biosensors Presents problem solution methods such as analytical and numerical Explains how solution methods complement each other, and offers information on their materials, design, computer aided modelling and simulation, optimization, and device fabrication Describes modeling work challenges and solutions Written for students in electrical and electronics engineering, physics, chemistry, biomedical engineering, and biology, Magnetic Sensors for Biomedical Applications offers a guide to the principles of biomagnetic sensors, recent developments, and reveals the impact of sensor modelling and simulation on magnetic sensors.
This book presents the applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. COVID-19, a worldwide pandemic, has limited many physical operational areas and at the same time has motivated to uplift the initiative to digitalize the world. Society is facing ever more intense and protracted humanitarian crises, and as a result, the global community is pressed to find new ways to help people and communities in need. This interdisciplinary book highlights the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning experiences with the help of emerging technologies like IT/ICT, AI, ML, edge computing, robotics automation, 5G for the betterment of humanity. It highlights the analytics and optimization issues impacting society and technology for example on security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people to create a secure tomorrow.
This book presents the author’s experience in modeling electrical machines using numerical Finite Element Method (MEF) models. Each of the studies presented in the book has specific and added complexity. Some of the FEM models were coupled with electric circuit equations, steady state analysis was completed with transient (dynamic) studies, and on occasions, mechanical equations were coupled to field-circuit formulations. For each of the applications presented, the author provides some insight regarding the more complex parts of the model implementation in COMSOL, what type of solver to use, and how to process and interpret the obtained results. Providing some screen shots from COMSOL model implementation may assist the user in developing their own similar applications.