Although the animal may be, as Nietzsche argued, ahistorical, living completely in the present, it nonetheless plays a crucial role in human history. The fascination with animals that leads not only to a desire to observe and even live alongside them, but to capture or kill them, is found in all civilizations. The essays collected in Beastly Natures show how animals have been brought into human culture, literally helping to build our societies (as domesticated animals have done) or contributing, often in problematic ways, to our concept of the wild. The book begins with a group of essays that approach the historical relevance of human-animal relations seen from the perspectives of various disciplines and suggest ways in which animals might be brought into formal studies of history. Differences in species and location can greatly affect the shape of human-animal interaction, and so the essays that follow address a wide spectrum of topics, including the demanding fate of the working horse, the complex image of the American alligator (at turns a dangerous predator and a tourist attraction), the zoo gardens of Victorian England, the iconography of the rhinoceros and the preference it reveals in society for myth over science, relations between humans and wolves in Europe, and what we can learn from society’s enthusiasm for "political" animals, such as the pets of the American presidents and the Soviet Union’s "space dogs." Taken together, these essays suggest new ways of looking not only at animals but at human history. Contributors Mark V. Barrow Jr., Virginia Tech * Peter Edwards, Roehampton University * Kelly Enright, Rutgers University * Oliver Hochadel, Universitat Autònoma de Barcelona * Uwe Lübken, Rachel Carson Center, Munich * Garry Marvin, Roehampton University * Clay McShane, Northeastern University * Amy Nelson, Virginia Tech * Susan Pearson, Northwestern University * Helena Pycior, University of Wisconsin–Milwaukee * Harriet Ritvo, Massachusetts Institute of Technology * Nigel Rothfels, University of Wisconsin–Milwaukee * Joel A. Tarr, Carnegie Mellon University * Mary Weismantel, Northwestern University

This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.

Intellectual property owners who exploit new ways of reproducing, distributing, and marketing their creations digitally must also protect them from piracy. Multimedia Security Handbook addresses multiple issues related to the protection of digital media, including audio, image, and video content. This volume examines leading-edge multimedia securit

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Evolution in Computational Intelligence. The conference papers included herein presents both theoretical as well as practical aspects of different areas like ANN and genetic algorithms, human-computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, multi-agent systems, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.

Intellectual property owners must continually exploit new ways of reproducing, distributing, and marketing their products. However, the threat of piracy looms as a major problem with digital distribution and storage technologies. Multimedia Encryption and Authentication Techniques and Applications covers current and future trends in the des

A completely up-to-date resource on computer security Assuming no previous experience in the field of computer security, this must-have book walks you through the many essential aspects of this vast topic, from the newest advances in software and technology to the most recent information on Web applications security. This new edition includes sections on Windows NT, CORBA, and Java and discusses cross-site scripting and JavaScript hacking as well as SQL injection. Serving as a helpful introduction, this self-study guide is a wonderful starting point for examining the variety of competing security systems and what makes them different from one another. Unravels the complex topic of computer security and breaks it down in such a way as to serve as an ideal introduction for beginners in the field of computer security Examines the foundations of computer security and its basic principles Addresses username and password, password protection, single sign-on, and more Discusses operating system integrity, hardware security features, and memory Covers Unix security, Windows security, database security, network security, web security, and software security Packed with in-depth coverage, this resource spares no details when it comes to the critical topic of computer security.

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.