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Lobontiu Nicolae: System Dynamics for
Engineering Students

System Dynamics for Engineering Students

Concepts and Applications

Advances in Sustainable Microgrid Technologies

Components, Control Algorithms, and Design

Next-Generation Microgrids

A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies presents a cutting-edge guide on leveraging IoT technologies to optimize renewable energy integration through microgrid clusters. The book begins by detailing the fundamental aspects of microgrid clusters, encompassing design, control, and optimization. This comprehensive grounding prepares readers for the exploration of IoT integration to harness big data analytics for energy efficiency, power management, fault monitoring, and cybersecurity. The book further delves into the meticulous analysis of protocol selection for effective operation and control. It covers wired protocols such as Modbus, Profibus, and Ethernet, wireless protocols like Zigbee, Wi-Fi, and Bluetooth, and IoT protocols including CoAP, MQTT, and HTTP. By outlining an adaptable framework for interdisciplinary opportunities, this book guides researchers and engineers in creating the flexible, renewable grid of the future.

Fundamentals, Protocols, and Case Studies

A Microgrid Cluster Management and Internet-of-Things Framework

The Study of Sound

Bringing concepts from early film theory into dialogue with the vibrant field of contemporary sound studies, Wild Sound turns an analytic eye and ear to the role of the soundscape in cinema, particularly the way that film soundtracks capture, create, represent, and even critique our sonic environment. Listening beyond music and dialogue, this book draws attention to the oft-ignored background soundscape-film's "wild sound"-which plays a quiet but substantial role in determining how film audiences feel about certain places, people, and processes. It explores the relationship between location sound and wider practices of phonographic field recording in the creation of a cinematic sonic environment. The latter half of the book shifts attention from from the controlled soundscapes of cinema to the relatively chaotic sonic environments of the world around us. Michael Pigott ultimately demonstrates how a theory of cinematic soundscapes helps us develop practical strategies for investigating the sonic environment in our personal and natural sound worlds, beyond the cinema auditorium.

Wild Sound

Advanced Mission Scenarios of the Three-Body Problem

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

Estimation and Attenuation

Perturbations in Mechatronic, Energy, and Robotic Systems

How Sound Shapes Our Lives, Our Wellbeing and Our Planet

Sound Affects

A Design Oriented Approach using MATLAB

Elements of Mechatronic Systems

Learn to get the most out of your molecular biology experimentsThis hands-on guide shows how to identify and characterize organisms on the molecular scale, understand how they work, locate a particular gene or disease's causal agents at the molecular level, and apply all of this knowledge to the real word issues. The only book of its kind, Experimental Techniques in Molecular Biology gathers all the information you need in one concrete source that covers the many techniques performed in a lab setting and are important for recombinant DNA technology. You will discover how to navigate different situations to target nucleic acids (single and double stranded RNA and DNA) or proteins from different living organisms.The book shows, step by step, how to prepare solutions and buffers, and how to extract RNA, dsRNA, DNA, and protein from virus-infected plant tissues and fungi as well as from blood, animals, insects, bacteria, fungi, and nematodes. Isolation, characterization, quantification, and sequencing are covered in full detail. You will get background information on each technique, clear explanations of each method and why it is chosen, and the different solutions and their roles in the procedures.<ul><li>Features lab techniques not covered in other core textbooks</li><li>Includes 100 full-color illustrations</li><li>Written by an experienced molecular biology academic</li></ul>

Experimental Techniques in Molecular Biology

Foundations, Technologies, and Prospects for the Future

Autonomous Vehicle Safety Solutions

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Properties and Design

Multi-field Modelling of Soft Active Materials

System Dynamics for Engineering Students

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