Robotics and autonomous systems can aid disabled individuals in daily living or make a workplace more productive, but these tools are only as effective as the technology behind them. Robotic systems must be able to accurately identify and act upon elements in their environment to be effective in performing their duties. Innovative Research in Attention Modeling and Computer Vision Applications explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. This book provides researchers, students, academicians, software designers, and application developers with next-generation insight into the use of computer vision technologies in a variety of industries and endeavors. This premier reference work includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.

Explaining both why and how to use mixed methods for discovering solutions to complex research problems, this guide gives readers the tools to adapt approaches to suit their own research conditions. Written in a warm, encouraging tone and packed with helpful diagrams and visual organizers, it provides an easy-to-follow map to the mixed methods process, covering everything from ‘what is mixed methods research?’ to framing, integrating, and describing a complexity-sensitive mixed methods approach. Features include: Key questions to navigate the important concepts of each chapter Practice alerts to provide practical tips on working in the field Chapter check-ins to assess development of key skills Further reading to expand and deepen knowledge of mixed methods practices An annotated glossary to get to grips with foundational terms and revise for exams Supported throughout by real-world examples and advice from the author and other mixed methods experts, this book helps readers succeed in their projects and think innovatively about the methods they use.

Based on the second Women in Shape (WiSH) workshop held in Sirince, Turkey in June 2016, these proceedings offer the latest research on shape modeling and analysis and their applications. The 10 peer-reviewed articles in this volume cover a broad range of topics, including shape representation, shape complexity, and characterization in solving image-processing problems. While the first six chapters establish understanding in the theoretical topics, the remaining chapters discuss important applications such as image segmentation, registration, image deblurring, and shape patterns in digital fabrication. The authors in this volume are members of the WiSH network and their colleagues, and most were involved in the research groups formed at the workshop. This volume sheds light on a variety of shape analysis methods and their applications, and researchers and graduate students will find it to be an invaluable resource for further research in the area.

In business, success hinges not only on individual performance but on the vitality of the broader ecosystem in which a company operates. However, crafting a thriving ecosystem alone is not enough to ensure success. Equally vital is the ability to manage relationships within this ecosystem effectively, harnessing its potential to enhance overall performance. Moreover, startups face the daunting challenge of scalability, a pivotal factor in long-term sustainability. Yet, achieving scalability often proves elusive due to complexities in resource management and ecosystem development. Innovation and Resource Management Strategies for Startups Development is a comprehensive solution to the pressing issues of resource management, ecosystem development, and startup scalability. This unique reference book delves deep into these critical aspects, offering a wealth of ideas, case studies, and best practices alongside thorough theoretical analysis. We recognize the undeniable influence of resource management and ecosystems on startup scalability, and our objective is to enhance understanding in this domain. By examining the powerful concepts that have shaped development policy and dissecting the role of resource management and ecosystem development in current discourse, our book provides the necessary insights to identify inefficiencies and facilitate startup scalability. It goes beyond mere theory, fostering collaborative strategies among resources, ecosystems, and startups on a global scale, ultimately contributing to social and economic development.

Structural health monitoring (SHM) is an automated approach to determine any changes in the integrity of mechanical systems. The SHM system gives information in real time and online. The book explains and discusses the advantages of Root Mean Square Deviation (RMSD) techniques. Special focus is placed on applications of structural health monitoring of bio-composite turbine blades for vertical axis wind turbines.

The Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning is edited by Jared Keengwe, an experienced professor in Curriculum Design and Instruction. This comprehensive reference guide offers academic scholars a collection of diverse frameworks from empirical studies, literature reviews, and case studies related to inclusive models for online learning. Covering a wide range of topics, including pedagogical adaptations to online learning, innovative pedagogical theories, inclusive teaching and learning, and best practices in online course design, the handbook provides practical insights to achieve effective pedagogical outcomes grounded on sound theoretical frameworks. Whether you are an online educator, instructional designer, teacher educator, librarian, student, online learning researcher, or educational manager, this handbook can serve as a valuable resource to guide your research, design, and practice in online learning. The Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning is a must-read for academic scholars who want to stay updated on the latest research, theories, and models for effective online education.