Robot and Multibody Dynamics: Analysis and Algorithms provides a comprehensive and detailed exposition of a new mathematical approach, referred to as the Spatial Operator Algebra (SOA), for studying the dynamics of articulated multibody systems. The approach is useful in a wide range of applications including robotics, aerospace systems, articulated mechanisms, bio-mechanics and molecular dynamics simulation. The book also: treats algorithms for simulation, including an analysis of complexity of the algorithms, describes one universal, robust, and analytically sound approach to formulating the equations that govern the motion of complex multi-body systems, covers a range of more advanced topics including under-actuated systems, flexible systems, linearization, diagonalized dynamics and space manipulators. Robot and Multibody Dynamics: Analysis and Algorithms will be a valuable resource for researchers and engineers looking for new mathematical approaches to finding engineering solutions in robotics and dynamics.
The book is the detail study and analysis on how excellently the waste materials can be utilize as percentage replacement in construction materials, maintaining desired strength and saving resources. The book shows detail analysis of various green rating criteria's, factors that effect environment and concept of Sustainable Construction . The simulations for embodied energy with change in geometry of openings of room, building, various model and analysis like Green Roof, Green wall, Sustainable flooring , operational energy optimizing techniques , sustainable ventilation and illumination methods, structural strength analysis of various alternative waste mixed construction materials , estimation of various alternative combination of sustainable construction and economical saving by adopting experimented verified sustainable alternative construction method and materials. It is helpful for individual , construction practitioner, Research students , PG and UG students and is need of National & World as it addresses the global issue of Resource depletion , pollution and population imbalance.
This book is for Software Engineering enthusiasts. Regression testers, IoT OS testers and Combinatorial testers can get hint on how to apply Machine learning and Data Science to software testing which are left as an exercise and future work.
This book is for Software Engineering enthusiasts working in the field of Regression test suite design and implementation. Test Architects who are keen to apply Machine Learning to test suite data will find this book useful
Deep Dive into Edge Computing and its Implementations KEY FEATURES ● Numerous real-world examples are provided to help readers grasp essential facets of Edge Computing. ● Apply a wide range of Python libraries, frameworks, and libraries to build intuitive IoT solutions. ● Exclusive coverage of the working of the Siemens Industrial Edge Computing Platform. DESCRIPTION The success of IoT and Industry 4.0 depends on edge computing and better network performance. The book, ‘Edge Computing with Python,’ intends to provide a fully-connected embedded environment in which readers can experience the applications of edge computing and IoT in a professional context. In this book, readers will learn what edge computing is, what its possible applications are, and how advantageous it is. This book provides thorough instructions for using Python to build every potential edge application. The book begins by configuring the programming environment with tools like VS Code, Python, and several popular libraries like SciPy, NumPy, and Pandas. Then, the book explains gaining access to IO devices, data handling, data storage, cloud connectivity, and hosting ready and pre-trained machine learning models step by step. The book delves into sophisticated ideas such as Docker Containers, MQTT, and FIWARE and how one can use them to construct Edge applications. In addition, the book details the Siemens Edge computing platform and how to use it for rapidly developing Edge applications. After reading this book, knowledge of Edge Computing's architecture, its benefits, and drawbacks will give readers a competitive advantage in the market. WHAT YOU WILL LEARN ● In-depth knowledge of Edge Computing and its strong ties with the Cloud, IoT, and IIoT. ● Illustrations of numerous Python packages and simulations for device interfaces. ● Explanation of multiple data gathering methods, including HTTP/REST, Serial Port, and ZeroMQ. ● Explanation of aspects of AI/ML, including model training, loading, and execution in the context of Edge Computing. ● Security threats and countermeasures, including SSL/TLS, Nginx, secure code, etc. ● Building full-fledged Edge applications using Docker, MQTT, FIWARE, and the Siemens Industrial Edge Platform. WHO THIS BOOK IS FOR Readers interested in embedded programming, system programming, edge device programming, electronics hobbyists, Internet of Things (IoT) engineers, microcontroller programming, and networking will find this book boost their career development. Knowledge of Docker, Containers, and REST is an added advantage. TABLE OF CONTENTS 1. Understanding Edge Computing 2. Up and Running with Edge Architectures 3. Challenges for Developers 4. Setting Up Edge Computing Environment 5. Data Acquisition and Processing 6. Data Storage and Cloud Connectivity 7. Executing AI/ML Models 8. Security and Protection 9. Applying Advanced Tools and Techniques 10. Developing End-to-End Edge Applications 11. Edge Platforms at a Glance
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