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Advanced Interfacing Techniques for Sensors: Measurement Circuits and Systems for Intelligent Sensors (Smart Sensors, Measurement and Instrumentation #25)
by Subhas Chandra Mukhopadhyay Boby George Joyanta Kumar Roy V. Jagadeesh KumarThis book presents ways of interfacing sensors to the digital world, and discusses the marriage between sensor systems and the IoT: the opportunities and challenges. As sensor output is often affected by noise and interference, the book presents effective schemes for recovering the data from a signal that is buried in noise. It also explores interesting applications in the area of health care, un-obstructive monitoring and the electronic nose and tongue. It is a valuable resource for engineers and scientists in the area of sensors and interfacing wanting to update their knowledge of the latest developments in the field and learn more about sensing applications and challenges.
Advanced IoT Sensors, Networks and Systems: Select Proceedings of SPIN 2022 (Lecture Notes in Electrical Engineering #1027)
by Ashwani Kumar Dubey Vijayan Sugumaran Peter Han Joo ChongThis volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.
Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy
by Alex Khang, Vugar Abdullayev, Vladimir Hahanov, and Vrushank ShahThe application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies.Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension.This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.
Advanced Joining Processes: Welding, Plastic Deformation, And Adhesion (Advanced Structured Materials #125)
by Lucas F. M. da Silva Paulo A. F. Martins Mohamad S. El-ZeinThis book presents recent material science-based and mechanical analysis-based advances in joining processes. It includes all related processes, e.g. friction stir welding, joining by plastic deformation, laser welding, clinch joining, and adhesive bonding, as well as hybrid joints. It gathers selected full-length papers from the 1st Conference on Advanced Joining Processes.
Advanced Joining Technologies (Advanced Materials Processing and Manufacturing)
by Manjaiah M, Shivraman Thapliyal Adepu KumarThis book covers advances in fusion and solid-state welding processes including basics, welding metallurgy, defect formation, and the effect of process parameters on mechanical properties. Details of the microstructural and mechanical behaviors of weldments are included. This book covers challenges encountered during dissimilar welding of metal by fusion and solid-state welding processes, including remedial solutions and hybrid processes to counter the same. Numerical and statistical simulation approaches used in the welding process for parameter optimization and material flow studies are described as well.Features: Provides details related to the microstructural and mechanical behaviors of welded joints developed by different welding processes. Covers recent research content, metallurgical analysis, and simulation aspects. Discusses the joining of plastics and ceramics. Includes a dedicated chapter on machine learning and digital twin in welding. Explores difficulties associated with the joining of dissimilar metals and alloys. This book is aimed at researchers and graduate students in material joining and characterization and welding.
Advanced Kalman Filtering, Least-Squares and Modeling
by Bruce P. GibbsThis book is intended primarily as a handbook for engineers who must design practical systems.Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the "best" model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior.A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared.The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems.The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering.Supplemental materials and up-to-date errata are downloadable at http://booksupport.wiley.com.
Advanced Laboratory Stress-Strain Testing of Geomaterials: Outcome Of Tc 29 (technical Committee No. 29) Of Issmge (international Society For Soil Mechanics And Geotechnical Engineering) From 1994 To 2001
by F. Tatsuoka, S. Shibuya and R. KuwanoA discussion of developments in the measurement and interpretation of advanced laboratory stress-strain testing of geomaterials. It includes a collection of case studies which apply the test results and is based on the activities of the technical committee No 29 of the ISSMGE.
Advanced Laser Process for Surface Enhancement (Advanced Topics in Science and Technology in China #61)
by Jianhua Yao Bo Li Liang WangTwo typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author’s group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.
Advanced Lasers: Laser Physics and Technology for Applied and Fundamental Science (Springer Series in Optical Sciences #193)
by Oleksiy Shulika Igor SukhoivanovPresenting a blend of applied and fundamental research in highly interdisciplinary subjects of rapidly developing areas, this book contains contributions on the frontiers and hot topics of laser physics, laser technology and laser engineering, and covers a wide range of laser topics, from all-optical signal processing and chaotic optical communication to production of superwicking surfaces, correction of extremely high-power beams, and generation of ultrabroadband spectra. It presents both review-type contributions and well researched and documented case studies, and is intended for graduate students, young scientist, and emeritus scientist working/studying in laser physics, optoelectronics, optics, photonics, and adjacent areas. The book contains both experimental and theoretical studies, as well as combinations of these two, which is known to be a most useful and interesting form of reporting scientific results, allowing students to really learn from each contribution. The book contains over 130 illustrations.
Advanced LaTeX in Academia: Applications in Research and Education
by Andreas Öchsner Marco ÖchsnerThis book contains a comprehensive treatment of advanced LaTeX features. The focus is on the development of high quality documents and presentations, by revealing powerful insights into the LaTeX language. The well-established advantages of the typesetting system LaTeX are the preparation and publication of platform-independent high-quality documents and automatic numbering and cross-referencing of illustrations or references. These can be extended beyond the typical applications, by creating highly dynamic electronic documents. This is commonly performed in connection with the portable document format (PDF), as well as other programming tools which allow the development of extremely flexible electronic documents.
Advanced Linear Algebra for Engineers with MATLAB
by Sohail A. Dianat Eli SaberArming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences. Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book: Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applications Introduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanical-type systems Presents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers’ visualization of presented concepts Discusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decomposition Extends presented concepts to define matrix polynomials and compute functions using several well-known methods, such as Sylvester’s expansion and Cayley-Hamilton Introduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equation Shows readers how to solve engineering problems using least square, weighted least square, and total least square techniques Offers a rich selection of exercises and MATLAB® assignments that build a platform to enhance readers’ understanding of the material Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.
Advanced Linear Machines and Drive Systems
by Wei Xu Md. Rabiul Islam Marcello PucciThis book collects the latest theoretical and technological concepts in the design and control of various linear machines and drive systems. Discussing advances in the new linear machine topologies, integrated modeling, multi-objective optimization techniques, and high-performance control strategies, it focuses on emerging applications of linear machines in transportation and energy systems. The book presents both theoretical and practical/experimental results, providing a consistent compilation of fundamental theories, a compendium of current research and development activities as well as new directions to overcome critical limitations.
Advanced Location-Based Technologies and Services
by Hassan A. KarimiSince the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements.
Advanced Logic Synthesis
by Rolf Drechsler André Inácio ReisThis book provides a single-source reference to the state-of-the-art in logic synthesis. Readers will benefit from the authors' expert perspectives on new technologies and logic synthesis, new data structures, big data and logic synthesis, and convergent logic synthesis. The authors describe techniques that will enable readers to take advantage of recent advances in big data techniques and frameworks in order to have better logic synthesis algorithms.
Advanced Machine Intelligence and Signal Processing (Lecture Notes in Electrical Engineering #858)
by Deepak Gupta Koj Sambyo Mukesh Prasad Sonali AgarwalThis book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library #204)
by Janmenjoy Nayak Margarita N. Favorskaya Seema Jain Bighnaraj Naik Manohar MishraThis book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020 (Advances in Intelligent Systems and Computing #1141)
by Aboul Ella Hassanien Roheet Bhatnagar Ashraf DarwishThis book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2019, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Advances in Intelligent Systems and Computing #1339)
by Aboul-Ella Hassanien Kuo-Chi Chang Tang MincongThis book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
Advanced Machining and Manufacturing Processes: Innovative Modeling Techniques (Materials Forming, Machining And Tribology)
by J. Paulo Davim Kaushik Kumar Divya ZindaniThis book covers the various advanced manufacturing processes employed by manufacturing industries to improve their productivity in terms of socio-economic development.
Advanced Machining Processes: Innovative Modeling Techniques (Manufacturing Design and Technology)
by Angelos P. Markopoulos and J. Paulo DavimModeling and machining are two terms closely related. The benefits of the application of modeling on machining are well known. The advances in technology call for the use of more sophisticated machining methods for the production of high-end components. In turn, more complex, more suitable, and reliable modeling methods are required. This book pertains to machining and modeling, but focuses on the special aspects of both. Many researchers in academia and industry, who are looking for ways to refine their work, make it more detailed, increase their accuracy and reliability, or implement new features, will gain access to knowledge in this book that is very scare to find elsewhere.
Advanced Machining Science
by Vijay Kumar JainAs machining processes become more advanced, so does the science behind them. This book emphasizes these scientific developments in addition to the more widely covered technological aspects, providing a full understanding of how machining has adapted to material constraints and moved beyond conventional methods in recent years. Numerous processes have been developed to allow the use of increasingly tough, corrosion-resistant, and temperature-resistant materials in machining. The advanced machining processes covered in this book range from mechanical, thermoelectric, and electrochemical, including abrasive water jet machining, electric discharge machining and micromachining, ion beam machining, and hybrid processes. It also addresses the sustainability issues raised by these processes. The underlying science of machining is centered throughout, as none of these processes can reach their full potential without both technical expertise and scientific understanding. Advanced Machining Science and its scientific approach will be of particular interest to students, researchers, and shop floor engineers.
Advanced Magnetic and Optical Materials
by Ashutosh Tiwari Hendrik Swart Parameswar K. Iyer Vijay KumarAdvanced Magnetic and Optical Materials offers detailed up-to-date chapters on the functional optical and magnetic materials, engineering of quantum structures, high-tech magnets, characterization and new applications. It brings together innovative methodologies and strategies adopted in the research and development of the subject and all the contributors are established specialists in the research area.
Advanced Maintenance Policies for Shock and Damage Models (Springer Series in Reliability Engineering)
by Toshio Nakagawa Xufeng ZhaoThis book surveys the recent development of maintenance theory, advanced maintenance techniques with shock and damage models, and their applications in computer systems dealing with efficiency problems. It also equips readers to handle multiple maintenance, informs maintenance policies, and explores comparative methods for several different kinds of maintenance. Further, it discusses shock and damage modelling as an important failure mechanism for reliability systems, and extensively explores the degradation processes, failure modes, and maintenance characteristics of modern, highly complex systems, especially for some key mechanical systems designed for specific tasks.
Advanced Manufacturing and Automation IX (Lecture Notes in Electrical Engineering #634)
by Yi Wang Kristian Martinsen Tao Yu Kesheng WangThis book presents selected papers from the 9th International Workshop of Advanced Manufacturing and Automation (IWAMA 2019), held in Plymouth, UK, on November 21–22, 2019. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation VII (Lecture Notes in Electrical Engineering #451)
by Yi Wang Kesheng Wang Jan Ola Strandhagen Tao YuThe proceedings brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11–12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.