Rock Dynamics - Experiments, Theories and Applications is a collection of scientific and technical papers presented at the Third International Conference on Rock Dynamics and Applications (RocDyn-3, Trondheim, Norway, 26-27 June 2018). The papers in the book reflect the recent developments in experiment and theory as well as engineering applications of rock dynamics. Rock dynamics studies the response of rock and rock masses under dynamic loading and during the state transition from static loading to kinetic movement. It also includes the study of engineering countermeasures to dynamic instability of rock and rock masses. The topics in the book include: - Dynamic theories - Numerical simulation - Propagation of stress waves - Dynamic tests of rock - Stability of underground openings under dynamic loading - Rockburst - Seismic monitoring - Dynamic rock support - Blasting - Earthquake-related rock structure damage, etc. Applications, such as rockburst, dynamic rock support, seismic monitoring, blasting and earthquake-related rock structure damage, are paid special attention in Rock Dynamics - Experiments, Theories and Applications. The papers, from specialists both from mining and tunnelling branches, discuss commonly interested dynamic issues. Their experience and knowledge in the application of rock dynamics are extremely valuable for all academics, engineers and professionals who work with rock dynamics.

In this volume, we report new results about various theories and methods of integral equation, boundary value problems for partial differential equations and functional equations, and integral operators including singular integral equations, applications of boundary value problems and integral equations to mechanics and physics, numerical methods of integral equations and boundary value problems, theories and methods for inverse problems of mathematical physics, Clifford analysis and related problems.

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: -Fundamental concepts and theories for fuzzy systems and neural networks. -Foundation for fuzzy neural networks and important related topics -Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

This book constitutes the refereed proceedings of the 9th IEEE Workshop on IP Operations and Management, IPOM 2009, held in Venice, Italy, on October 29-30, 2009, as part of the 5th International Week on Management of Networks and Services, Manweek 2009.

The 12 revised full papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on management of quality of services and multimedia, network robustness, management of virtual networks, configuration of network resources and applications.

Implantable Medical Devices (IMD) have been used since the implantable pacemaker in 1958. Since then, numerous types of IMDs have been introduced to tackle a variety of health issues. Providing a constant and perpetual energy source is a key design challenge for IMDs. Harvesting energy from the human body and its surroundings is one of the possible solutions. Delivering energy from outside the body through different wireless media is another feasible solution. Energy Harvesting and Power Delivery for Implantable Medical Devices reviews different state-of-the-art mechanisms that do in-body energy harvesting as well as out-of-body wireless power delivery. The details of the energy source, transmission media, energy harvesting and coupling techniques, and the required energy transducers are discussed. The merits and disadvantages of each of these approaches are presented. Different mechanisms have very different characteristics in terms of their output voltage, amount of harvested power, and power transfer efficiency. Therefore different types of power conditioning circuits are required. This monograph compares and contrasts the issues and solutions to designing the building blocks for the power conditioning circuits for different energy harvesting or coupling mechanisms.

Despite a wealth of epidemiological evidence of the profound ill-effects of smoking on human health, we know surprisingly little about the pathogenic mechanisms by which tobacco smoke actually causes disease. Indeed, to our knowledge this publication represents the first book that is entirely devoted to the molecular and cellular mechanisms of tobacco-induced diseases. Considering that smoking will directly kill 650 million of those people currently alive, the lack of such a book represents a huge gap in the biomedical literature. This important book fills this gap.

This unique compendium represents important action of fuzzy systems to quantum mechanics. From fuzzy sets to fuzzy systems, it also gives clear descriptions on the development on fuzzy logic, where the most important result is the probability presentation of fuzzy systems.The important conclusions on fuzzy systems are used in the study of quantum mechanics, which is a very new idea. Eight important conclusions are obtained. The author has proved that mass-point motions in classical mechanics must have waves, which means that any mass-point motion in classical mechanics has wave mass-point dualism as well as any microscopic particle motion must have wave-particle dualism. Based on this conclusion, it has been proven that classical mechanics and quantum mechanics are unified.