This detailed volume provides diagnosticians and researchers with practical methodologies and approaches to tackle animal coronaviruses. It explores conventional immunohistochemistry, virus neutralization, enzyme-linked immunosorbent assays, expression and purification of recombinant viral proteins, and various molecular assays, including conventional and real-time reverse transcription-PCR, reverse genetics methodology, and next generation sequencing and sequence analyses. As part of the Springer Protocols Handbooks series, chapters contain readily reproducible laboratory protocols as well as expert tips on troubleshooting and avoiding known pitfalls. Practical and authoritative, Animal Coronaviruses serves as an ideal reference for researchers examining a wide variety of coronavirus species in the Coronaviridae.

This detailed new edition compiles fully updated practical methodologies and approaches for diagnosticians and researchers working toward a better understanding of animal coronaviruses. The book explores vital techniques in virus isolation, diagnostic approaches via the detection of viral nucleic acids or proteins, serology, disease-targeted animal species models, and next-generation sequencing and bioinformatics. Written for the invaluable Springer Protocols Handbooks series, chapters contain readily reproducible laboratory protocols as well as expert tips on troubleshooting and avoiding known pitfalls. Thorough and hands-on, Animal Coronaviruses, Second Edition will help readers design and carry out their increasingly important projects in clinical research, diagnostics, disease surveillance, and epidemiological study involving this family of viruses.

A team of launched and coordinated Unmanned aerial vehicles (UAVs), requires advanced technologies in sensing, communication, computing, and control to improve their intelligence and robustness towards autonomous operations. To enhance reliability, robustness, and mission capability of a team of UAVs, a system-oriented and holistic approach is desirable in which all components and subsystems are considered in terms of their roles and impact on the entire system. This volume aims to summarize the recent progress, identify challenges and opportunities, and develop new methodologies and systems on coordinated UAV control. A group of experts working in this area have contributed to this volume in several related aspects of autonomous control of networked UAVs. Their papers introduce new control methodologies, algorithms, and systems that address several important issues in developing intelligent, autonomous or semi-autonomous, networked systems for the next generation of UAVs. The papers share a common focus on improved coordination of the members of the networked system to accomplish a common mission, to achieve heightened capability in system reconfiguration to compensate for lost members or connections, and to enhance robustness against terrain complications and attacks.

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed.

System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work.

This detailed new edition compiles fully updated practical methodologies and approaches for diagnosticians and researchers working toward a better understanding of animal coronaviruses. The book explores vital techniques in virus isolation, diagnostic approaches via the detection of viral nucleic acids or proteins, serology, disease-targeted animal species models, and next-generation sequencing and bioinformatics. Written for the invaluable Springer Protocols Handbooks series, chapters contain readily reproducible laboratory protocols as well as expert tips on troubleshooting and avoiding known pitfalls.  Thorough and hands-on, Animal Coronaviruses, Second Edition will help readers design and carry out their increasingly important projects in clinical research, diagnostics, disease surveillance, and epidemiological study involving this family of viruses.

This detailed volume provides diagnosticians and researchers with practical methodologies and approaches to tackle animal coronaviruses. It explores conventional immunohistochemistry, virus neutralization, enzyme-linked immunosorbent assays, expression and purification of recombinant viral proteins, and various molecular assays, including conventional and real-time reverse transcription-PCR, reverse genetics methodology, and next generation sequencing and sequence analyses. As part of the Springer Protocols Handbooks series, chapters contain readily reproducible laboratory protocols as well as expert tips on troubleshooting and avoiding known pitfalls. Practical and authoritative, Animal Coronaviruses serves as an ideal reference for researchers examining a wide variety of coronavirus species in the Coronaviridae.

This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.