Wireless Sensing and Networking for the Internet of Things
In recent years, we have been witnessing the exponential proliferation of the Internet of Things (IoT), networks of physical devices, vehicles, appliances and other items embedded with electronics, software, sensors, actuators and connectivity that enables these objects to connect and exchange data. Enabling the introduction of highly efficient IoT, wireless sensing and network technologies will reduce the need for traditional processes that are currently be carried out manually, thus freeing up the precious resources of dwindling working staff, to do more meaningful and human-centered work.This reprint aims to bring together innovative developments in areas related to IoT, wireless sensing and networking. The aspects covered include software-defined network (SDN)-based IoT networks, artificial intelligence (AI) for IoT, industrial IoT, smart sensors, optimization of energy efficiency for IoT, and wireless sensor networks, IoT applications for agriculture, smart cities, healthcare, localization and environment monitoring.
Reliability and Maintainability Assessment of Industrial Systems
Feature Papers in Communications Section 2022
This book collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential original articles or reviews in the "Communications" field. We expect these papers to be widely read and highly influential within the field.
Cybersecurity and Data Science
The book focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this book discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
Plasmonic Sensors
This book covers the theory and fabrication of plasmonic nanostructures, patterned surfaces, and devices for lossy mode resonance (LMR), surface plasmon resonance (SPR), surface-enhanced fluorescence spectroscopy (SEFS), and surface-enhanced Raman scattering (SERS)-based biosensors. The chapters in this book cover a range of topics, including the interplay between SPR and lossy mode resonance, fabrication of LSPR substrates using high-throughput techniques, recent advances in various nanostructures, recent developments in the field of nanostructured Ag substrates, and innovative advances in biosensors based on DNA nanotechnology. These chapters provide a comprehensive overview of recent developments in plasmonic biosensors, making this book essential reading for researchers working in biosensors and plasmonics.
Performance-Related Material Properties of Asphalt Mixture Components
This reprint contains the most recent research in pavement engineering, which mainly addresses the performance-related properties of asphalt mixtures. We hope that this reprint is helpful for researchers and pavement industries to generate a better and deeper understanding of pavement materials, pavement construction, and pavement maintenance.
Advanced Sensors Technologies Applied in Mobile Robot
This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
On the Applications of EMG Sensors and Signals
This reprint captures the latest advances in Electromyography (EMG) sensor development, EMG sensor applications, and EMG signal conditioning using theoretical and experimental approaches. This report is timely, as EMG sensors and signals have applications in many domains. This reprint provides a snapshot of several exciting EMG sensor and signal applications: swallowing, motion detection and prostheses control, muscle synergies, robotic exoskeleton, driver's behaviour, signal conditioning, and muscle assessment.
Polymeric Composites in Road and Bridge Engineering
Roads, bridges, airports, and ports are multirole transportation infrastructure assets, which rely heavily on asphalt, cement, and aggregates in traditional civil engineering. Multirole transportation infrastructures should be resistant enough against structural loads and vehicle loads. Further, multirole transportation infrastructures are greatly affected by climate change, which has the potential to impact both long- and short-term infrastructure performance. Recent developments in materials science, especially polymers, have brought new perspectives in the modification of civil engineering materials and consequent improvements. Being both strong and lightweight, polymer composites have already found wide-ranging uses in civil engineering. The application of various types of polymers includes admixtures and additives (e.g., alternative binders, polymer fibers) for enhanced mechanical performances and enhanced functional properties such as self-healing and self-cleaning. Therefore, it is necessary to analyze advanced functional polymer composites sitting at the intersection of physics, chemistry, materials science, and engineering. This Special Issue is concerned with the possible applications of polymeric composites to develop new technologies in road and bridge engineering, which will focus on current and future research toward characterization techniques, evaluation tools, and the production of advanced functional polymer composites.
Sea, River, Lake Ice Properties and Their Applications in Practices
This reprint covers topics on geographical scale of glacier and lake ice variations, as well as the engineering scale of ice properties and their practical applications via laboratory tests and numerical modeling.
Advances in Angle-Only Filtering and Tracking in Two and Three Dimensions
Two-dimensional bearing-only filtering (BOF) arises in many real-world tracking problems, including underwater tracking using a passive sonar, aircraft surveillance using a passive radar, navigation of a robot using a passive sonar, and undersea exploration of natural resources using sonar. BOF using a single sensor is also a challenging nonlinear filtering problem due to poor observability and the nonlinear measurement model. This filtering problem and associated tracking problem have been studied extensively.Three-dimensional angle-only filtering (AOF) is a two-dimensional counterpart of BOF . Real-world AOF problems include passive ranging using an infrared search and track (IRST) sensor, passive sonar, passive radar in the presence of jamming, ballistic missile and satellite tacking using a telescope, satellite to satellite passive tracking, and missile guidance using bearing-only seekers. The number of publications in the AOF and angle-only tracking in 3D is rather limited compared with the corresponding problems in 2D.
Multi-Sensor Systems and Data Fusion in Remote Sensing
Remote sensing is developing rapidly due to progress in many interconnected fields. It includes the emergence of new sensors, development of sophisticated platforms for those sensors, and advances in signal and data processing. The progress in the fields of radar, optoelectronic, acoustic, magnetic, chemical, and other sensors is stunning. Whereas the mentioned sensors are currently more sensitive and accurate, have improved resolutions, data rates, and dynamical ranges, they still have their limitations. The utilization of multi-sensor systems and joint processing of their signals or data has long been considered an effective solution for reducing the disadvantages and best utilizing their strengths. The emergence of new types of sensors creates an opportunity for scientists and engineers to develop new and more capable integrated multi-sensor systems. It is necessary to mention that the users' expectations with respect to the size of the observed area or volume, data resolution, accuracy, speed of operation, and functionality of remote sensing systems are still increasing. Extended frequency bands, improved resolutions, and data rates of the new sensors as well as the common use of distributed sensors increase the influx of data in contemporary multi-sensor systems. These facts pose new challenges for the data fusion algorithms that must often employ the newest achievements from the areas of big data mining, statistical estimation, artificial intelligence, etc. This book contains a collection of papers that provide a fresh insight into the newest developments in the fields of multi-sensor systems and data fusion.
Advanced Sensing and Safety Control for Connected and Automated Vehicles
The connected and automated vehicle (CAV) is a promising piece of technology, anticipated to enhance the safety and effectiveness of mobility. Advanced sensing technologies and control algorithms, working to acquire environmental data, analyze data, and regulate vehicle movements, are key functional components of CAVs. In recent years, the creation of innovative sensing technologies for CAVs has gained substantial attention. CAVs can now interpret sensory data to more accurately detect impediments, track their locations, navigate autonomously in a dynamic environment, and communicate with other nearby vehicles. This has been made possible by advancements in sensing technology. Additionally, by utilizing computer vision and other sensing techniques, the bodily movements, facial expressions, and even mental states of in-cabin persons can be identified.
Electrification of Smart Cities
Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. This Special Issue includes high-quality papers that address issues related to cutting-edge smart city technologies in the electrification process, including but not limited to the following: Electrification of building environments and transportation systems;Role and impact of smart grids for smart cities;ICT and IoT infrastructures with big data for smart city electrification;Market, services, and business models for smart city electrification;Standards and implementation for smart city electrification;Advanced smart grid technology integration in smart cities, such as energy storage, demand-side management, and distributed energy resources.
Advances in Nanomaterials for Photovoltaic Applications
This reprint includes contributions focusing on theoretical and experimental studies that report on the innovative processing and characterization of materials and nanostructured materials engineered for photovoltaic applications. In particular, the reprint presents a collection of twelve high-quality articles, among which are two comprehensive reviews, one communication letter and nine original research papers. These articles exhaustively cover state-of-the-art aspects of the four essential constitutive building-blocks of a photovoltaic element: the main absorber component, the "window" layer, the electron- and hole-transporter media, as well as the back- and top-electrodes of the solar cell.
Advanced Structural Concrete Materials in Bridges
Many existing and newly constructed bridges are composed of reinforced and prestressed concrete. Advanced concrete materials play an increasingly important role in concrete bridges to facilitate the strengthening and repair of existing bridges, to facilitate a (fast) replacement solution for (part of) an existing bridge, and for the design of new challenging bridge projects. The development of advanced concrete materials and their structural applications is thus an important topic in the built environment.This reprint brings together research and practical applications from the perspective of material scientists and bridge engineers for applications to new and existing bridges.
Future Speech Interfaces with Sensors and Machine Intelligence
Speech is the most spontaneous and natural means of communication, as well as the preferred modality for interacting with mobile or fixed electronic devices, but speech in-terfaces have drawbacks, such as a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions; and the difficulty of creating complex man-machine interfaces. The Special Issue "Future Speech Interfaces with Sensors and Machine Intelligence" assembles eleven contributions that cover multimodal and silent speech interfaces; lip reading applications; novel sensors for speech interfaces; and enhanced speech inclusivity tools for future speech interfaces. The articles make important improvements beyond the state of the art, advancing the state of the art to new frontiers in some cases. Short summaries of all articles, grouped by topic, are presented, followed by a global commentary and evaluation.
Computational Fluid Mechanics
This reprint collected the cutting-edge developments of CFD in the area of marine science and technology. CFD methods including novel numerical algorithms, advanced treatments of solving procedures, parallel acceleration techniques, and the utilization of CFD for fluid-structure interaction, wave modeling, ship dynamics, etc., are included. The audience of this reprint can be researchers and engineers in the area of marine science and technology.
Fundamentals of Advanced Pyrometallurgy
Pyrometallurgy is considered to be an environmentally friendly technology in processing of primary and secondary raw materials. The continuous development of pyrometallurgical processes to treat more complex raw materials requires direct support from fundamental research. In this reprint, 18 papers focusing on recent investigations into the existing and new pyrometallurgical processes such as recovery of cobalt through chlorination-volatilization, the extraction of tungsten from low-grade concentrates, copper and lead smelting, ironmaking, and steelmaking are collected. This reprint is expected to serve as a valuable reference for academia and the industry working on thermodynamics, kinetics, and technological optimization and development.
10th MATBUD’2023 Scientific-Technical Conference
The jubilee 10th MATBUD'2023 Conference on 'Building Materials Engineering and Innovative Sustainable Materials' was organized within the framework of the Welcome to Poland project financed by the Polish National Agency for Academic Exchange (NAWA): "MATBUD'2023-Developing international scientific cooperation in the field of building materials engineering" BPI_WTP_2021_1_00002.The scientific committee worked under the chairmanship of Prof. Lech Czarnecki (Honorary Chairman) and Prof. Izabela Hager (Chairwoman; the project coordinator). The conference was hosted at Cracow University of Technology, Poland, and welcomed participants from 45 research units worldwide.The organizing committee would like to express great gratitude to all the authors, members of the scientific committee, reviewers, and participants for their valuable contributions to the conference.
Design and Application of Agricultural Equipment in Tillage System
Agricultural productivity should increase to meet the growing food demand. Tillage is defined as the mechanical manipulation of agricultural soil, and it is an extremely vital part of crop production, particularly for seedbed preparation and weed control. Tillage operations are carried out using mechanical force, commonly with a tractor-drawn tool to achieve the cutting, inversion, pulverization, and disturbance of soil. A significant part of the energy (from fossil fuels) used in crop production is expended in tillage. This energy use results in greenhouse gas emissions. It is essential that we reduce energy use (hence, greenhouse gas emissions) to achieve sustainable farming practices and improve crop production and design new tillage tools or optimize the existing tools.Although the design and evaluation of tillage tools are generally carried out using analytical methods and field experiments, with recent technological improvements, computer technology has been used for the design and evaluation of tillage tools. Additionally, sensor technology can improve the efficiency of tillage tools. This Special Issue collated innovative papers that make a significant contribution to the design and application of agricultural equipment in tillage systems. It involved original research and review papers from different research fields, such as agricultural engineering, engineering simulation, and precision agriculture.
Sustainable Construction Materials
With increasing attention on the reduction of CO2 emissions, the sustainability of construction materials has become one of the most growing issues in concrete science and engineering research fields. New sustainable construction materials, such as alkali-activated materials, calcium sulfoaluminate (CSA) cement, and limestone calcined clay cement (LC3), have been suggested and high-performance and/or highly durable construction materials using special admixtures, such as nanomaterials, have been studied to reduce the environmental impact during the life cycle of construction materials.This Special Issue aims to highlight and share recent findings in developing new sustainable cementitious materials, modeling their hydration kinetics, investigating their microstructure, improving the performance and durability of cementitious materials using functional supplementary ingredients, suggesting novel test methods for new construction materials, etc. In this Special Issue are presented the following areas: Sustainable concrete and alternative binders;Hydration kinetics of sustainable cementitious materials;Characterization of sustainable cementitious materials;Re-utilization of industrial by-products for construction materials;High strength and durable cementitious materials;Property enhancement by functional additives;Energy storage through construction materials.
Heat Transfer and Heat Recovery Systems
Heat transfer plays a crucial role in modern engineering and energy conversion efficiency. Understanding its mechanisms is essential for sustainable energy management. Waste heat recovery, an increasingly popular strategy, reduces energy consumption and promotes sustainability. This reprint highlights advancements in heat transfer technology and heat recovery systems, addressing the persistent demand for innovative solutions. The content focuses on four main categories: heat transfer and heat exchangers, heat recovery, renewables, and domestic hot water preparation systems.
Encyclopedia of Engineering
Encyclopedia of Engineering aims at providing a collection of entries concerning several fields of Engineering Sciences. The reprint provides a historical overview, starting from the investigation of Mechanics and Science in Ancient Greece and showing their evolution over time. The topical collection focuses on Civil, Mechanical and Aerospace Engineering providing basic concepts as well as novel trends in modeling, design and construction of engineering systems, structures, and materials. Special attention is also given to the recent developments and achievements in the framework of Nanoscience and Nanotechnology.
Heat Transfer and Fluids Properties of Nanofluids
This reprint features a dozen high-quality research studies and reviews on different types of nanofluids and their important topics related to thermophysical and electrical properties, as well as convective and boiling heat transfer characteristics, contributed by renowned researchers around the world. It is expected to be a useful resource for related industrial professionals and researchers in this emerging and popular field of nanofluids.
Applications of Computational Intelligence
Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in addition to the three main constituents, it encompasses computing paradigms such as ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years, there has been an explosion of research on deep learning, specifically deep convolutional neural networks, and deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems today are based on CI. Therefore, this book focuses on the theoretical study of computational intelligence and its applications.
Design of Steel and Timber Structures
This book introduces the design of steel and timber framed structures in accordance with the design codes. It enable the learners to understand the process for the design of steel and timber structures and the background knowledge which leads to the development of the current steel and timber design codes. Students will understand the behavior of steel and timber structural components under realistic design conditions and relate the knowledge of design to practical design problems in a project-based learning environment.
Forming Technologies and Mechanical Properties of Advanced Materials
This book focuses on the forming technologies and mechanical properties of advanced materials. Plastic working is the most efficient and an important manufacturing technology in today's industry. Plastic working technologies enable giving the material the appropriate functional properties, which depend on the rheological conditions of the plastic forming process and on the thermoplastic treatments carried out during the forming process. Metal processing is one of the most important sectors of the economy. In addition to the continuous improvement in the existing methods of plastic working, new technologies are also implemented, the purpose of which is to reduce the energy consumption of processing and the modernization of technological machines and tools. The subjects of research articles published in this book are multidisciplinary, including friction and lubrication in sheet metal forming, the single-point incremental forming of polymeric and lightweight metallic sheets, the optimization of shear spinning parameters and the cutting performance of cutting tools, the numerical and experimental analysis of titanium sheet forming, the mechanical and structural properties of titanium alloy subjected to impact-oscillatory loading, macro- and microdeformation characteristics of Ti-2.5Al-1.5Mn foil, and the optimisation of the thermomechanical process of nickel-based oxide-dispersion-strengthened superalloys.
Painting by Immersion and by Compressed Air A Practical Handbook
Painting by Immersion and by Compressed Air A Practical Handbook, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Against the Odds
Originally published in 1970, this volume is a valuable source of extensive data concerning Scotland's railways and locomotives from 1831-1923.
The Pantropheon; Or, History of Food, Its Preparation, from the Earliest Ages of the World
The Pantropheon; Or, History of Food, Its Preparation, from the Earliest Ages of the World, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Paper-bag Cookery
Paper-bag Cookery, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Metal Spinning
Metal Spinning, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Paint & Colour Mixing
Paint & Colour Mixing, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Les Merveilles de la Locomotion
Les Merveilles de la Locomotion, a 矇t矇 consid矇r矇e comme importante tout au long de l'histoire de l'humanit矇. Dans un effort pour s'assurer que ce travail ne soit jamais perdu, nous avons pris des mesures pour assurer sa pr矇servation en republiant ce livre dans un format moderne pour les g矇n矇rations actuelles et futures. Ce livre complet a 矇t矇 retap矇, remani矇 et reformat矇. Comme ces livres ne sont pas des scans des publications originales des auteurs, le texte est lisible et clair.
The London and Country Brewer
The London and Country Brewer, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Nuts in Family Meals
Nuts in Family Meals: A Guide for Consumers, has been considered important throughout human history. In an effort to ensure that this work is never lost, we have taken steps to secure its preservation by republishing this book in a modern format for both current and future generations. This complete book has been retyped, redesigned, and reformatted. Since these books are not scans of the authors' original publications, the text is readable and clear.
Detection of Diabetic Retinopathy Using Deep Learning
In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems.
Machine Learning Classification of Epileptic Seizures Based on EEG
Machine Learning Classification of Epileptic Seizures Based on Electroencephalogram using Third-Ordered Cumulants and Adaptive Fractal Analysis Techniques1 IntroductionEpilepsy is one of the serious neurological diseases in the world. Indeed, early detection of epileptic seizures will extend the life span of epileptic patients. In this regard, a lot of efforts has been done to predict epileptic seizures based on electroencephalography (EEG) signals. In literature, there are many feature-based seizure classification methods quoted. No method is proved perfectly in capturing a standard set of features with the dynamics of signals. It is a common neurological disorder caused by the abnormally rapid release of brain nerve cells that is characterized by seizures. The scalp or intracranial Electroencephalogram (EEG) signals obtained in the clinic typically exhibit characteristics such as chaos, nonlinearity, etc.Deep neural networks have made significant advances in the field of machine learning during the last era. The model can learn effective representations from raw data in both supervised and unsupervised contexts by creating a hierarchical or "deep" structure.
Dashboards measure the performance of a supply chain
In the framework of this work, we bring our reflection to the problem of designing a performance management tool for a supply chain through the concept of the dashboard. This contribution is materialized by a robust and hybrid methodology, combining all the elements necessary to establish a dashboard and a system of relevant performance indicators. Our methodology is broken down into four phases. The first phase consists of studying the field of study by determining the external environment and the information needed by the company to design a dashboard. The second phase consists of analyzing the supply chain and modeling it via processes. The third is to design dashboards by process using a structured approach that is broken down into four steps. This approach integrates the result of an empirical study by questionnaire that informs on the important performance indicators used in Moroccan industries. The last phase aims to develop a global dashboard of the supply chain.
Introduction to Algorithms
This textbook focuses on designing algorithms, proving their correctness, and analyzing their efficiency. In particular, the emphasis is on analyzing the cost associated with different algorithms, studying the essential mathematical tools for analyzing algorithm cost, and exploring design heuristics and how subtle choices can affect time complexity. Some time is spent carefully analyzing algorithms using sorted schemes, probabilistic and statistical schemes, and graph algorithms.
Fungal Architectures
This reprint presents groundbreaking discoveries, practical techniques, and rigorous analyses related to the cultivation, preparation, and exploitation of mycelium composites. The papers cover a wide range of topics, including functional modifications of mycelium with inorganic particles, modifying and assessing the mechanical properties of mycelium composites, strategies for improving the flexural behaviour of composites, beehives from fungal materials, bio-welding and reinforcement of composites, bioreactors for fungal production, co-production of composites by fungi and bacteria, growing large-scale mycelium structures, sound absorption by composites, and the geometrical parameterisation of fungi. This informative compendium of techniques, methods, and insights on growing fungal material appeals to readers from all walks of life, from high school pupils to university professors, from mathematicians, computer scientists, and engineers to chemists, from craft practitioners to industrial producers of fungal materials, and from biologists to architects and artists.
Technological Aspects in Fatigue Design of Metallic Structures
Traditional manufacturing processes, such as welding and casting, and modern techniques, such as additive manufacturing, can significantly affect the local material properties of metallic materials. To ensure the safe and reliable operation of engineering components and structures, fundamental knowledge of the manufacturing effects on fatigue performance is of the utmost importance. Hence, this Special Issue focuses on the fatigue design of metallic structures, considering the influence of technological aspects. Approaches based on local stress/strain, as well as fracture-mechanics-based concepts, are applied, considering local manufacturing-process-dependent characteristics, such as microstructure, hardness, porosity/defects, surface topography, and/or residual stress state. Moreover, probabilistic methods are utilized which enable a link between statistically distributed local characteristics and failure/survival probability, enabling the advanced fatigue design of metallic structures.
11th EASN International Conference on Innovation in Aviation & Space to the Satisfaction of the European Citizens
This Special Issue contains selected papers from works presented at the 11th EASN (European Aeronautics Science Network) International Conference on Innovation in Aviation & Space, which was held from the 1st until the 3rd of September 2021. About 420 remote participants contributed to a high-level scientific gathering providing some of the latest research results on the topic, as well as some of the latest relevant technological advancements. Nineteen interesting papers, which cover a wide range of topics including characterization, analysis and design, as well as numerical simulation, are contained in this Special Issue.
New Leadership Communication--Inspire Your Horizon
This new book aims at inspiring managers and passionate, influential (new) leaders to re-think how to address communication markets, challenge the way how to orchestrate communication instruments, find new ways to communicate the New, and cultivate a positive communication culture. Leadership communication is a critical success factor of senior management teams and (new) leaders (game changer, pioneers) in the digital and human age to better interact and connect with others; drive innovation and adoption processes; and empower young minds with joy, abundance, and wisdom. In the classical view, leadership communication is part of management communication which means leaders primarily use instruments focusing on teams, presentations, and negotiations. In the modern view, however, new leadership communication also encompasses social media and innovation communication. It dives deeper into ground rules for effective leadership communication and key themes, such as virtual communication, innovation and leadership, and communication model innovation. Be the inspiration! Become a new leader and shape the world.
Advances in Spark-Ignition Engines
This book focuses on advanced techniques to reduce the impact of the transport sector and, more specifically, of Spark-Ignition (SI) Internal Combustion Engines (ICEs) on atmospheric air pollution and climate change. Hybrid vehicles represent the most suitable option for addressing these issues in the medium term, since hybridization allows us to overcome the major disadvantages of ICEs, electric units, and energy storage devices and merge their respective benefits. In this scenario, ICEs will remain the core component of automotive propulsion systems in the years to come. Of course, further efforts to improve the efficiency and reduce the pollutant and CO2 emissions of ICEs are necessary.
Advances in Regenerated Asphalt Mixtures
The recycling of asphalt mixtures has significant contributions towards the reduction in greenhouse gases, pollution, natural resources, and energy consumption. Sustainable road materials and technologies can provide a powerful boost to "carbon-neutral strategies", and so it is crucial to continue moving towards improving these technologies and theories.This Special Issue includes new findings in the field of regenerated asphalt mixtures, including the high-content regeneration of RAP, cold recycling technologies, regenerated mechanisms, eco-regenerating agents, and anti-aged materials. Additionally, novel materials, fast maintenance technologies, and functional materials are also addressed in this Special Issue, such as bio-asphalt materials, intelligent transportation, self-healing technologies, solid waste resource applications, numerical simulations, smart road materials and technologies, etc.
Testing, Monitoring and Diagnostic of High Voltage Equipment
The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
