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Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.
Complete coverage from fundamentals to cutting-edge applications A solid understanding of tribology is essential for engineers in many fields working to design and ensure the reliability of machine parts and systems. This Introduction to Tribology presents detailed coverage of the mechanisms of friction, material wear, and all major lubrication techniques–liquids, solids, and gases–along with traditional and state-of-the-art applications, as well as the latest material coverage of micro/nanotribology, MEMS, and magnetic surface storage applications. The underlying theory and current applications of tribology are covered in an integrated treatment taken from a mechanical engineering, mechanics, and materials science point of view. This book’s straightforward presentation begins with the principles of tribology and prepares readers to understand the industrial applications of tribology. The principles of tribology and the emerging field of micro/nanotribology are then explored, and, finally, the author looks at tribological components and applications. Complete with exercises and problems, Introduction to Tribology is invaluable to mechanical, chemical, and materials engineers in product and process design, as well as students in mechanical, chemical, and materials engineering and physics courses.
The comprehensive reference and textbook serves as a timely, practical introduction to the principles of nanotribology and nanomechanics. Assuming some familiarity with macroscopic tribology, the book comprises chapters by internationally recognized experts, who integrate knowledge of the field from the mechanics and materials-science perspectives. They cover key measurement techniques, their applications, and theoretical modelling of interfaces, each beginning their contributions with macro- and progressing to microconcepts.
The volumes VIII, IX and X examine the physical and technical foundation for recent progress in applied scanning probe techniques. This is the first book to summarize the state-of-the-art of this technique. The field is progressing so fast that there is a need for a set of volumes every 12 to 18 months to capture latest developments. These volumes constitute a timely comprehensive overview of SPM applications.
The volumes VIII, IX and X examine the physical and technical foundation for recent progress in applied scanning probe techniques. This is the first book to summarize the state-of-the-art of this technique. The field is progressing so fast that there is a need for a set of volumes every 12 to 18 months to capture latest developments. These volumes constitute a timely and comprehensive overview of SPM applications.
Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses. This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.
Micro/nanotribology as a field is concerned with experimental and theoretical investigations of processes ranging from atomic and molecular scales to the microscale, occurring during adhesion, friction, wear, and thin-film lubrication at sliding surfaces. As a field it is truly interdisciplinary, but this confronts the would-be entrant with the difficulty of becoming familiar with the basic theories and applications: the area is not covered in any undergraduate or graduate scientific curriculum. The present work commences with a history of tribology and micro/nanotribology, followed by discussions of instrumentation, basic theories of friction, wear and lubrication on nano- to microscales, and their industrial applications. A variety of research instruments are covered, including a variety of scanning probe microscopes and surface force apparatus. Experimental research and modelling are expertly dealt with, the emphasis throughout being applied aspects.
This book presents the perspectives of nanotechnology educators from around the world. Experts present the pressing challenges of teaching nanoscience and engineering to students in all levels of education, postsecondary and informal environments. The book was inspired by the 2014 NSF workshop for Nanoscience and Engineering Education. Since nanotechnology is a relatively new field, authors present recommendations for designing nanotechnology education programs. The chapters describe methods to teach specific topics, such as probe microscopy, size and scale, and nanomaterial safety, in classrooms around the world. Other chapters describe the ways that organizations like NNIN and the NISE Network have influenced informal nanotechnology education. Information technology plays a growing role in all types of education and several chapters are devoted to describing ways how educators can use online curricula for teaching nanotechnology to students from preschool to graduate school.
Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly
The Nobel Prize of 1986 on Sc- ningTunnelingMicroscopysignaled a new era in imaging. The sc- ning probes emerged as a new - strument for imaging with a p- cision suf?cient to delineate single atoms. At ?rst there were two - the Scanning Tunneling Microscope, or STM, and the Atomic Force Mic- scope, or AFM. The STM relies on electrons tunneling between tip and sample whereas the AFM depends on the force acting on the tip when it was placed near the sample. These were quickly followed by the M- netic Force Microscope, MFM, and the Electrostatic Force Microscope, EFM. The MFM will image a single magnetic bit with features as small as 10nm. With the EFM one can monitor the charge of a single electron. Prof. Paul Hansma at Santa Barbara opened the door even wider when he was able to image biological objects in aqueous environments. At this point the sluice gates were opened and a multitude of different instruments appeared. There are signi?cant differences between the Scanning Probe Microscopes or SPM, and others such as the Scanning Electron Microscope or SEM. The probe microscopes do not require preparation of the sample and they operate in ambient atmosphere, whereas, the SEM must operate in a vacuum environment and the sample must be cross-sectioned to expose the proper surface. However, the SEM can record 3D image and movies, features that are not available with the scanning probes.
Nature is the best example of a system functioning on the nanometer scale, wherethematerialsinvolved,energyconsumption,anddatahandlingareop- mized. Opening the doors to the nanoworld, the emergence of the scanning tunneling microscope in 1982 and the atomic force microscope in 1986 led to a shift of paradigmin the understanding and perception of matter at its most fundamentallevel. As aconsequence,newrevolutionaryconceptsstimulateda number of new technologies. The current volume Scanning Probe Methods in Nanoscience and Nanotechnology showsthat these methods arestill making a tremendous impact on many disciplines that range from fundamental physics andchemistry throughinformationtechnology,spintronics,quantumcomp- ing, and molecular electronics, all the way to life sciences. Indeed, over 6,000 AFM-related papers were published in 2008 alone, bringing the total to more than 70,000 since its invention, according to the web of science, and the STM has inspired a total of 20,000 papers. There are also more than 500 patents related to the various forms of scanning probe microscopes. Commerciali- tion of the technology started at the end of the 1980s, and approximately 12,000 commercial systems have been sold so far to customers in areas as diverse as fundamental research,the car industry, and even the fashion ind- try. There are also a signi?cant number of home-built systems in operation. Some60-80companiesareinvolvedinmanufacturingSPMandrelatedinst- ments. Indeed, not even the sky seems to be the limit for AFM technology. TheRosettamissiontocomet67Plaunchedbythe EuropeanSpaceAgencyin 2004 includes an AFM in its MIDAS (Micro-Imaging Dust Analysis System) instrument.
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
The word tribology was fIrst reported in a landmark report by P. Jost in 1966 (Lubrication (Tribology)--A Report on the Present Position and Industry's Needs, Department of Education and Science, HMSO, London). Tribology is the science and technology of two interacting surfaces in relative motion and of related subjects and practices. The popular equivalent is friction, wear and lubrication. The economic impact of the better understanding of tribology of two interacting surfaces in relative motion is known to be immense. Losses resulting from ignorance of tribology amount in the United States alone to about 6 percent of its GNP or about $200 billion dollars per year (1966), and approximately one-third of the world's energy resources in present' use, appear as friction in one form or another. A fundamental understanding of the tribology of the head-medium interface in magnetic recording is crucial to the future growth of the $100 billion per year information storage industry. In the emerging microelectromechanical systems (MEMS) industry, tribology is also recognized as a limiting technology. The advent of new scanning probe microscopy (SPM) techniques (starting with the invention of the scanning tunneling microscope in 1981) to measure surface topography, adhesion, friction, wear, lubricant-fIlm thickness, mechanical properties all on a micro to nanometer scale, and to image lubricant molecules and the availability of supercomputers to conduct atomic-scale simulations has led to the development of a new fIeld referred to as Microtribology, Nanotribology, or Molecular Tribology (see B. Bhushan, J. N. Israelachvili and U.
Multiscale Dissipative Mechanisms and Hierarchical Surfaces covers the rapidly developing topics of hierarchical surfaces, roughness-induced superhydrophobicity and biomimetic surfaces. The research in these topics has been progressing rapidly in the recent years due to the advances in the nanosciences and surfaces science and due to potential applications in nanotechnology. The first in its field, this monograph provides a comprehensive review of these subjects and presents the background introduction as well as recent and new results in the area.
This volume examines the physical and technical foundation for recent progress in applied near-field scanning probe techniques. It constitutes a timely comprehensive overview of SPM applications, now that industrial applications span topographic and dynamical surface studies of thin-film semiconductors, polymers, paper, ceramics, and magnetic and biological materials. After laying the theoretical background of static and dynamic force microscopies, including sensor technology and tip characterization, contributions detail applications such as macro- and nanotribology, polymer surfaces, and roughness investigations. The final part on industrial research addresses special applications of scanning force nanoprobes such as atomic manipulation and surface modification, as well as single electron devices based on SPM. Scientists and engineers either using or planning to use SPM techniques will benefit from the international perspective assembled in the book.
Recent research has led to a deeper understanding of the nature and consequences of interactions between materials on an atomic scale. The results have resonated throughout the field of tribology. For example, new applications require detailed understanding of the tribological process on macro- and microscales and new knowledge guides the rational design of material for these applications. A two volume set, the Modern Tribology Handbook reports on the current state-of-the-field as it reflects these developments, including all industrial applications.
This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometric, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections: In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the the use of various machine learning algorithms, neural network algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that reader can easily understand, not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need of developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner. The primary users for the book include undergraduate, and postgraduate students, researchers, academicians, specialists, and practitioners in Computer Science and Engineering.
The first volume in the series was released in January 2004 and the second to fourth volumes in early 2006. The field is now progressing so fast that there is a need for one volume every 12 to 18 months to capture latest developments. Volume VII presents 9 chapters on a variety of new and emerging techniques and refinements of SPM applications.
Since January 1990, when the first edition ofthis first-of-a-kind book appeared, there has been much experimental and theoretical progress in the multi disciplinary subject of tribology and mechanics of magnetic storage devices. The subject has matured into a rigorous discipline, and many university tribology and mechanics courses now routinely contain material on magnetic storage devices. The major growth in the subject has been on the micro- and nanoscale aspects of tribology and mechanics. Today, most large magnetic storage industries use atomic force microscopes to image the magnetic storage components. Many companies use variations of AFMs such as friction force microscopes (FFMs) for frictional studies. These instruments have also been used for studying scratch, wear, and indentation. These studies are valuable in the fundamental understanding of interfacial phenomena. In the second edition, I have added a new chapter, Chapter 11, on micro and nanoscale aspects of tribology and mechanics of magnetic storage compo nents. This chapter presents the state of the art of the micro/nanotribology and micro/nanomechanics of magnetic storage components. In addition, typographical errors in Chapters 1 to 10 and the appendixes have been corrected. These additions update this book and make it more valuable to researchers of the subject. I am grateful to many colleagues and particularly to my students, whose work is reported in Chapter 11. I thank my wife, Sudha, who has been forbearing during the progress of the research reported in this chapter.
The first volume in the series was released in January 2004 and the second to fourth volumes in early 2006. The field is now progressing so fast that there is a need for one volume every 12 to 18 months to capture latest developments. Volume VI presents 10 chapters on a variety of new and emerging techniques and refinements of SPM applications.
Micro Electro Mechanical Systems (MEMS) is already about a billion dollars a year industry and is growing rapidly. So far major emphasis has been placed on the fabrication processes for various devices. There are serious issues related to tribology, mechanics, surfacechemistry and materials science in the operationand manufacturingof many MEMS devices and these issues are preventing an even faster commercialization. Very little is understood about tribology and mechanical properties on micro- to nanoscales of the materials used in the construction of MEMS devices. The MEMS community needs to be exposed to the state-of-the-artoftribology and vice versa. Fundamental understanding of friction/stiction, wear and the role of surface contamination and environmental debris in micro devices is required. There are significantadhesion, friction and wear issues in manufacturing and actual use, facing the MEMS industry. Very little is understood about the tribology of bulk silicon and polysilicon films used in the construction ofthese microdevices. These issues are based on surface phenomenaand cannotbe scaled down linearly and these become increasingly important with the small size of the devices. Continuum theory breaks down in the analyses, e. g. in fluid flow of micro-scale devices. Mechanical properties ofpolysilicon and other films are not well characterized. Roughness optimization can help in tribological improvements. Monolayers of lubricants and other materials need to be developed for ultra-low friction and near zero wear. Hard coatings and ion implantation techniques hold promise.
Highlights developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in intelligent systems. Presents metamodeling with new trajectories patterns which are very useful for intelligent transportation systems. Examines the processing aspects of raw trajectories to develop other types of semantic and activity-type and space-time path type trajectories. Discusses Complex Event Processing (CEP), Internet of Things (IoT), Internet of Vehicle (IoV), V2X communication, Big Data Analytics, distributed processing frameworks, and Cloud Computing. Presents a number of case studies to demonstrate smart trajectories related to spatio-temporal events such as traffic congestion, viral contamination, and pedestrian accidents.
The volumes V, VI and VII will examine the physical and technical foundation for recent progress in applied scanning probe techniques. These volumes constitute a timely comprehensive overview of SPM applications. This is the first book summarizing the state-of-the-art of this technique. The chapters are written by leading researchers and application scientists from all over the world and from various industries to provide a broader perspective. |
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