Hydraulic gates are utilized in multiple capacities in modern society. As such, the failure of these gates can have disastrous consequences, and it is imperative to develop new methods to avoid these occurrences. Dynamic Stability of Hydraulic Gates and Engineering for Flood Prevention is a critical reference source containing scholarly research on engineering techniques and mechanisms to decrease the failure rate of hydraulic gates. Including a range of perspectives on topics such as fluid dynamics, vibration mechanisms, and flow stability, this book is ideally designed for researchers, academics, engineers, graduate students, and practitioners interested in the study of hydraulic gate structure.
In today's digital age, the rapid advancement of AI and digital technologies has led to the emergence of digital consciousness, blurring the lines between human and machine thinking. At the same time, these technologies offer unprecedented convenience and efficiency but pose significant challenges. Individuals are increasingly facing issues such as stress, anxiety, and technology addiction, impacting their overall well-being and decision-making processes. The dichotomy between digital consciousness and human consciousness raises critical questions about how we can navigate these challenges in a rapidly evolving technological landscape. To address these pressing concerns, Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse offers a comprehensive exploration of the impacts of digital consciousness on human well-being and decision-making. This book delves into the paradoxes and challenges posed by the coexistence of digital and human consciousness, providing insights from psychological perspectives, practitioner experiences, and academic research. By offering a nuanced understanding of these concepts, we aim to equip readers with the knowledge and tools needed to manage the implications of digital consciousness in their personal and professional lives.
In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and Applications of Quantum Computing Using Essential Math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains.
Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. In the book, Meta-Learning Frameworks for Imaging Applications, experts from the fields of machine learning and imaging come together to explore the current state of meta-learning and its application to medical imaging and health informatics. The book presents an overview of the meta-learning framework, including common versions such as model-agnostic learning, memory augmentation, prototype networks, and learning to optimize. It also discusses how meta-learning can be applied to address fundamental limitations of deep neural networks, such as high data demand, computationally expensive training, and limited ability for task transfer. One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. This book is relevant to healthcare institutes, e-commerce companies, and educational institutions, as well as professionals and practitioners in the intelligent system, computational data science, network applications, and biomedical applications fields. It is also useful for domain developers and project managers from diagnostic and pharmacy companies involved in the development of medical expert systems. Additionally, graduate and master students in intelligent systems, big data management, computational intelligent approaches, computer vision, and biomedical science can use this book for their final projects and specific courses.
Technology is significantly affected by a material’s ability to adapt to its environment in a beneficial way. These smart systems, in which material qualities react to outside stimuli, are currently being developed. These materials have the potential to significantly improve the performance of new systems by lowering size, weight, cost, power consumption, and complexity while enhancing effectiveness, safety, and adaptability. Materials can be multifunctional on a variety of temporal and compositional levels and at dimensions ranging from nano to macro. Innovative Multifunctional Nanomaterial for Photocatalysis, Sensing, and Imaging clarifies the type, chemical composition, and applications of multifunctional nanomaterials in photocatalysis, sensing, and imaging. This book discusses the most current advances in multifunctional materials for photocatalysis, sensing, and imaging in biological systems. Covering topics such as drug development, nanoparticles, and sensing, this premier reference source is an excellent resource for chemists, engineers, professionals, students and educators of higher education, researchers, and academicians.
The aviation industry faces an unprecedented challenge the digital transformation revolution. While digital technologies promise immense benefits in terms of efficiency, safety, and passenger experience, they also bring forth intricate challenges. Navigating through complex regulatory frameworks and safeguarding against cybersecurity risks has become a paramount concern for aviation professionals and academics alike. The industry's future success hinges on its ability to adapt to this digital revolution while effectively managing the potential pitfalls it presents. Harnessing Digital Innovation for Air Transportation emerges as a timely and comprehensive solution for academic scholars in aviation management. It offers a profound exploration of how digital innovations are shaping various facets of aviation and provides in-depth strategies to address the challenges presented by this digital revolution. From understanding the impact of digital transformation to harnessing data analytics, managing safety, enhancing the passenger experience, and delving into emerging technologies, this book equips readers with the knowledge and tools to thrive in the digital age of aviation.
The field of DC attraction-type levitation systems (DCALS) faces challenges that hinder its optimal performance in various industrial applications, stemming from inherent instability, nonlinearity, and unmodeled dynamics. To address these issues, Studies on Single and Double Actuator Based DC Attraction Type Levitation Systems: Optimization Techniques by Dr. Rupam Bhaduri provides a comprehensive solution. This book offers an in-depth analysis, design, and optimization of DCALS, with a focus on single and double actuator systems. Through advanced optimization techniques and interdisciplinary approaches, Dr. Bhaduri equips academic scholars, researchers, and engineering professionals with the necessary knowledge and tools to overcome system complexities, achieve stability, and ensure precise control in levitation systems. By leveraging the insights presented in this invaluable resource, scholars can contribute to the advancement of DCALS through innovative research and development. The book caters to individuals specializing in electromagnetism, electronics, power electronics, mechanical engineering, and control systems, who seek a deeper understanding of DC attraction-type levitation systems. With its interdisciplinary approaches and emphasis on optimization techniques, this book unlocks the full potential of DCALS, enabling precise control and stability in industrial applications. Embracing the concepts and methodologies outlined in this book will empower scholars to overcome challenges, drive progress, and make significant contributions to the field of DC attraction-type levitation systems.
Long-term economic growth and increasing vehicle congestion is creating a greater demand for efficient and safe transportation. The high cost of maintaining and fixing pre-existing infrastructure is leading the industry to realize that sustainable long-term transportation planning is needed to keep pace with the growing economy. Building a Sustainable Transportation Infrastructure for Long-Term Economic Growth examines contemporary transportation issues through the lens of various modes of transportation while also focusing on the importance of sustainability, urban planning, and funding. The book covers the topics of sustainability and climate change, public management and planning, financing of transportation infrastructure, and revenue and spending issues facing modern transportation infrastructure. It is ideally designed for engineers, planners, government officials, transportation specialists, legislators, researchers, academicians, students, and industry professionals seeking current research on sustainable transport systems.
Measurement techniques form the basis of scientific, engineering, and industrial innovations. The methods and instruments of measurement for different fields are constantly improving, and it’s necessary to address not only their significance but also the challenges and issues associated with them. Strategic Applications of Measurement Technologies and Instrumentation is a collection of innovative research on the methods and applications of measurement techniques in medical and scientific discoveries, as well as modern industrial applications. The book is divided into two sections with the first focusing on the significance of measurement strategies in physics and biomedical applications and the second examining measurement strategies in industrial applications. Highlighting a range of topics including material assessment, measurement strategies, and nanoscale materials, this book is ideally designed for engineers, academicians, researchers, scientists, software developers, graduate students, and industry professionals.
This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
