Revolutionizing Cardiac Muscle Detection. Harnessing the Power of Machine Learning
Bachelor Thesis from the year 2023 in the subject Medicine - Biomedical Engineering, language: English, abstract: This analysis explores advanced deep-learning techniques for stock price prediction, assessing transfer learning-based DTRSI, CNNs, and collaborative networks with sentiment analysis. DTRSI effectively addresses overfitting, outperforming traditional models. CNNs excel in predicting stock trends across time frames, while collaborative networks combining sentiment analysis and candlestick data show promise, particularly for specific stocks over longer periods. The study investigates the relevance of sentiment analysis from platforms like Twitter and StockTwits in predicting market movements. It introduces an innovative active deep learning approach for stock price forecasting, considering data size and sector impact. Emphasizing LSTM-based models, it highlights their potential to enhance stock price forecasting, offering insights for traders and investors by consolidating diverse prediction methods. This research lays the groundwork for future studies optimizing trading systems via data integration and advanced neural network architectures.
Modeling and Testing of Reinforced Concrete or Composite Structures Using Advanced New Materials
This Reprint focuses on the emerging concepts that allow for the design of reinforced concrete, including new or improved concrete material, as well as on the characterization of the properties of typical reinforced concrete structures. The author of this Reprint is an Assistant Professor at Texas A&M University-Commerce, USA.
Reinventing Processes for Sustainability via Process Intensification and Integration
In this Special Issue, readers will find selected works pertaining to the integration and intensification methods that are currently adopted for carbon capture, stemming from the generation of waste gasses. Novel optimization methods achieved through modeling as well as numerical studies are also reported in these papers in order to improve industries such as textile, and also to predict the onset of local diseases. Moreover, the potential use of solid organic waste as nutrients to grow microalgae for the production of protein, carbohydrate and lipid sources highlights the significant use of waste via bioconversion, without the need to undergo landfilling. Besides microalgae, bacteria are also capable of composting solid organic waste into useful green energy pellets to advocate the waste-to-energy development plan. Furthermore, the potential use of solar energy for process intensification has been integrated into industrial processes to partially offset a part of the energy requirements, gaining traction toward energy sustainability in the long term. Finally, not overlooking the importance of battery, various processes to recover lithium from oily wastewater sources are reported as well. Overall, this Special Issue undoubtedly captures every important feature of advanced processes in a perpetual intensification and integration for the betterment of both humanity and the natural environment.
Design and Post Processing for Metal Additive Manufacturing
Metal additive manufacturing (AM) has gained significant attention due to its ability to produce functional, net-shape parts using laser, electron beam, or binder jetting methods in various industrial sectors. Recent advancements in AM have opened up new opportunities for design freedom and the fabrication of complex geometries such as cellular solids, metamaterials, or biomimetic materials that are not easily achievable using conventional methods. Today, these objects can be created using computer-aided design (CAD) models and elemental or alloyed metallic powders.This Special Issue of Materials, titled "Design and Post Processing for Metal Additive Manufacturing", sought submissions on the design of elements with predicted microstructure and mechanical properties, the use of artificial intelligence/machine learning (AI/ML) in AM, numerical algorithms for AM, and 繕-CT magining for quality control.While AM's powder bed manufacturing provides the possibility of fabricating objects of any shape in one production step, it does come with some disadvantages. A major drawback is the need to generate support for the fabricated parts to dissipate the heat generated during the 3D printing process and minimize the geometrical distortions caused by internal stresses from metallic powders. This Special Issue also covers computer simulations and improved fabrication protocols that can help reduce these issues.
Envisioning the Future of Mining
To date, many challenges have been faced in the production of mineral raw materials to provide necessary supplies in almost any production chain. In addition to the traditional search for more efficient processes, cleaner and safer operations, and higher levels of social acceptance, there is a need for the mining industry to become a major actor in circular economy, decarbonization, and digital transformation processes. This reprint includes the articles published in the Special Issue of Mining entitled "Envisioning the Future of Mining".
Advances in Visible Light Communication
The research area of visible light communications (VLC) has become highly popular in recent years. With the ongoing advancement of crucial technologies, the research community anticipates VLC to play a significant role in future wireless communication systems. The rapid recognition of VLC can be attributed to the development of various important technologies. This reprint includes 21 papers covering several important topics in VLC, such as signal modulation, photon counting detection, visible light positioning, and transmission systems.
Jet Web
The present book describes the development history of turbojet engines, mainly in the web-type triangle Great Britain (USA) - Germany - Switzerland from early beginnings in the 1920s up to the first practical usage in the 1950s, before the still unbroken, grand impact of aero propulsion technology on global air traffic started. interconnections are highlighted, including the considerable impact of axial-flow compressor design know-how of the Swiss/German company BBC Brown Boveri & Cie. on both sides.The author reveals significant undercurrents which led to a considerable exchange, and thus change in understanding of the technical-historical perspective, especially in the decisive years before WWII, and thus closes gaps in the unilateral views of this ground-breaking technical advancement. The old 'Whittle vs. von Ohain Saga' is not repeated in full, but addressed in sufficient detail to understand the considerably enlarged narrative scope.
About an Important Phenomenon-Water Hammer
Explore "About an Important Phenomenon-Water Hammer", a groundbreaking Special Issue featuring insights from leading experts. When pressurized pipe flow is disrupted, water hammer-a once overlooked phenomenon-creates waves of importance in engineering, driving a dangerous surge.Dedicated to modeling water hammer and experimental verification, this Special Issue delves into contemporary water hammer discourse, tackling key challenges in fluid dynamics. It intertwines with related phenomena including fluid friction, cavitation, viscoelastic deformations, and fluid-structure interaction. Whether unraveling complexities or developing safeguarding methods, submissions enrich our understanding, enabling us to traverse historical origins, mathematical foundations, and contemporary dimensions. "About an Important Phenomenon-Water Hammer" is more than a publication; it is a platform for sharing insights and innovations shaping the future of fluid dynamics and practical engineering.
Magnetic and Spin Devices, Volume II
This Special Issue focuses on topics related to spintronic devices, such as spin-based magnetoresistive memories, multiferroic interconnects and sensors, microfluidic solenoid valves, and magnetoelectric antennas with broad practical applications.
Energy, Electrical and Power Engineering 2021-2022
Energy and power are playing an increasingly pivotal role in our modern life and are transforming the way we utilize energy and the way we live. This special issue brought together the latest innovations and knowledge in energy and power engineering such as new and renewable energy, power electronics and electric motor drives, distributed generation and multi-energy systems, data analytics, and artificial intelligence.
The Wireless Officer
"The Wireless Officer" is an enthralling journey novel authored with the aid of Percy F. Westerman. Set inside the early twentieth century, this charming tale immerses readers in a global of maritime intrigue and daring escapades. The narrative follows the protagonist, a wireless officer aboard a ship, who turns into embroiled in a sequence of interesting activities at the excessive seas. The story weaves collectively elements of seafaring, espionage, and technological innovation as the wireless officer confronts perilous challenges, navigates dangerous waters, and uncovers hidden conspiracies. Percy F. Westerman's storytelling skills come to the fore in "The Wireless Officer," with a story that seamlessly blends journey, generation, and camaraderie amongst seafarers. The novel presents a vivid portrayal of existence at sea throughout this era and explores the pivotal function of wi-fi communique in both maritime operations and espionage. As the plot unfolds, readers are treated to a roller-coaster of suspense, sudden twists, and exciting escapades, making it an engaging study for folks who admire stories of maritime adventures and intrigue. "The Wireless Officer" is a testomony to Percy F. Westerman's know-how in crafting fascinating tales that seize the essence of seafaring adventures.
Acoustic Sensors and Their Applications
Acoustic sensors have been utilized commercially for more than 60 years. Acoustic sensing technologies have been studied extensively and the information, transmission, reception, transformation, processing, and application of acoustic signals have been developed, with acoustic sensors as the central focus. An acoustic sensor is a device that converts a sound wave signal into an electrical signal. This Special Issue on Acoustic Sensors and Their Applications presents original research covering recent advances in all aspects of the design, development, testing, and application of acoustic sensors.
Motion Control and Path Planning of Marine Vehicles
With the continuous improvement of artificial intelligence and sensing technologies, the marine field is ushering in unprecedented change. In this wave of change, the design and application of marine transportation have become significant tools for promoting the marine economy and environmental protection. Motion control and path planning have become key technologies to ensure that marine transportation vehicles operate efficiently and intelligently in complex marine environments. Therefore, this Special Issue focuses on motion control and path planning for marine vehicles and explores how autonomous underwater vehicles (AUVs), surface unmanned vehicles (USVs), and deep-sea landers (DSLVs) can play a key role in the oceans through optimization strategies and new approaches. We will delve into the application of intelligent and autonomous motion control systems on marine vehicles, and the innovation and optimization of path-planning techniques. In this Special Issue, we brought together the latest results from experts and researchers, aiming to share their cutting-edge research in motion control and path planning for marine vehicles. We expect that the presentation of these papers will provide new ideas and solutions to promote marine science and technology development and application. Finally, we would like to convey our most profound gratitude to the staff of MDPI Books and the editorial team of Marine Science and Engineering, in particular the assistant editors, talented authors, and diligent reviewers.
Numerical Heat Transfer and Fluid Flow 2022
The Special Issue "Numerical Heat Transfer and Fluid Flow 2022" contains scientific articles on experiments and simulations of heat transfer in compressible and incompressible fluids, including single- and two-phase flows. The articles present the current state of knowledge, solve scientific and industrial problems, and set directions for future research. The Special Issue is addressed to specialists from around the world dealing with numerical modelling and experiments on heat transfer in flowing fluids.
Fatigue Damage Mechanism and Fatigue Life Prediction of Metallic Materials
The fatigue of metallic materials stands as a pivotal challenge in engineering applications. Exploring the fatigue damage mechanism and fatigue life prediction of metallic materials is of paramount importance. This reprint includes articles that explore relevant topics, and they are intended for academic researchers, engineers, and students seeking a comprehensive understanding of the recent advancements in this field.
Damage Diagnosis and Safety Assessment of Bridge Structures under Multiple Hazards
The states of bridge structures decline over time due to various degradation processes, such as creep, corrosion, and cyclic loading. During its life cycle, a bridge also faces the great threat of multiple hazards, such as winds, earthquakes, collisions, waves, landslides, and so on. Structural damages in an existing bridge affect operational and structural safety and weaken the sustainability of bridges. Therefore, advanced damage diagnosis techniques and safety assessment methods are strongly required to ensure structural safety and achieve infrastructure sustainability. This Special Issue aims to bring together recent scientific developments in probabilistic hazard analysis, structural exposure models, damage diagnosis methods, testing and measurement techniques, dynamic behavior and protection technology, damage mechanisms, risk assessment framework, and resilience-based approaches. Since we have past one year since this Special Issue opened, thirteen papers have been published, the majority of which focus on the structural safety assessment of bridges under wind, earthquake, collision, wave, etc. The Guest Editors believe that this reprint will provide important theoretical and technical support for bridge damage diagnosis and safety assessment and promote communication and cooperation between design, construction, research, teaching, and production.
Offshore Renewables for a Transition to a Low Carbon Society
Taking into account the increasing general concern related to the necessity of reducing CO2 emissions, a very important aspect of this topic refers to the green energy sector. In this vein, the present Special Issue is focused on the area of Offshore Renewable Energy (ORE). This Special Issue contains valuable works related to ORE.
The 3rd International Conference on Advances in Mechanical Engineering
The 3rd International Conference on Advances in Mechanical Engineering 2023 (ICAME-23) was organized on 24th August 2023 by the Department of Mechanical Engineering, Capital University of Science and Technology (CUST). All the articles are single-blindfold reviewed. The acceptance rate of the conference was 65%. ICAME is held annually and welcame high-quality theoretical and empirical original research papers, case studies, and review papers from researchers, academicians, professionals, practitioners, and students worldwide. ICAME-23 accepted research papers in the discipline of: Experimental and Computational Fluid Dynamics; Thermodynamics and heat transfer analysis; Machine and Mechanisms; Design and Solid Mechanics; Manufacturing, Production and Industrial Engineering; Engineering and Technology Management; Renewable Energy and Environmental Engineering; Bioengineering; Materials and Failure Analysis; Other Related Fields. The ICAME-23 conference provided a platform for the national and international speakers/participants to present their state-of-the-art research work to diverse audiences from academia and industry. The conference proceedings are published in the Engineering Proceeding of MDPI, Switzerland. All the articles are individually indexed and are citable via Digital Object Identification (DOI).
Advances in Rock Mechanics and Geotechnical Engineering
The Special Issue entitled "Advances in Rock Mechanics and Geotechnical Engineering" is devoted to the publication of the latest research, field works, and laboratory investigations in the area of rock mechanics and geotechnical engineering. This Special Issue has published novel contributions in different areas of geotechnical and geomechanical engineering such as slope and embankment, tunneling and underground space technologies, pile and foundation, rock mechanics and rock blasting, excavation and leveling projects, ground improvement techniques, unsaturated soil, practical issues in soft soil, mining technology, geo-environmental engineering, new laboratory testing, applied geology for construction, and novel geotechnical construction methods. The focus of this reprint is on the development of computational methods for solving problems in the fields of rock mechanics and geotechnical engineering.
Computational Mechanics of Structures and Materials
The vast number of recently published research papers on computational and numerical methods for solving various structural problems proves that this topic has great potential, and the further advancements that can be accomplished are still numerous.This reprint contains innovative investigations dealing with accurate, reliable, and effective numerical approaches in the field of both structural mechanics and the mechanics of materials.In particular, these studies present a numerical analysis focused on the development of finite-element or finite-element-based methods for novel problems, as well as different computational techniques involving the solution of those problems that require the development of numerical methods to obtain approximate but accurate solutions.In any circumstance, the contributing authors have emphasized the novelty of their approaches, highlighting the improvements with respect to the existing literature. Much attention has also been dedicated to the numerical investigations of advanced and innovative materials, as well as multiscale analyses, employed in many engineering fields, such as civil, mechanical, and aerospace engineering.
Biomedical Sensors for Functional Mapping
Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
Navigating our NON LINEAR World
In this book, you will discover: How technology has evolved over time How the role and impact of technology has changed over the years How today's technology is making our world increasingly nonlinear How generative Al will drive nonlinearity at full throttle How our nonlinear world is deeply affecting our thinking and behavior What can we learn from 15th century Classical Renaissance, and why a Digital Renaissance is just around the corner How the DeSIRE framework could help in tackling nonlinearity and in reaping the benefits of Digital Renaissance This book will leave you with the DeSIRE to make the most of the opportunities as we usher in Digital Renaissance.
Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural-human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
Sustainable Production of Metals for Low-Carbon Technologies
A high demand for metals (cobalt, copper, gold, lithium, nickel, tin, vanadium, etc.) has been recorded for the past several decades, and this demand is expected to increase even further in the coming decades as the world moves to low-carbon technologies based on renewable energy sources (RESs) and electric vehicles (EVs) and away from the heavy use of fossil fuels. To meet the high forecasted demand, unconventional sources of metals such as low-grade complex ores, seafloor massive sulfides (SMSs), and wastes (e.g., tailings, metallurgical residues, and electronic wastes (e-wastes)) have become very important sources of metals; moreover, these metals should be extracted in a sustainable manner without negatively impacting the environment. This Special Issue focused on recent advances in the sustainable production of metals from the above-mentioned unconventional sources.This reprint is a compilation of a Special Issue of Minerals, "Sustainable Production of Metals for Low-Carbon Technologies", where 13 papers contributed by experts in the area were published. Papers published in this Reprint cover a wide range of topics, including mineral processing (gravity concentration, magnetic separation, and flotation), hydrometallurgical techniques (leaching, solvent extraction, and cementation) to extract minerals/metals from primary and secondary resources. All the papers are of high scientific value and will be of great interest to readers of Minerals.
Optimizing House Deck Structures for Heavy Rain. A Structural Analysis and Material Selection Approach
Project Report from the year 2019 in the subject Engineering - Civil Engineering, grade: A, University Kebangsaan Malaysia (Asia Pacific University), language: English, abstract: This group assignment focuses on the design of house decks that can withstand heavy rain during spring and autumn, considering various structural criteria. Each group member is tasked with designing at least two beams with different shapes, evaluating their dimensions, and analyzing their structural integrity under distributed and concentrated forces. The design selection process involves calculating bending moments, determining the second moment of inertia, and assessing maximum bending stress on the beams. The factor of safety is then employed to identify the most suitable material based on tensile strength. The research highlights the significant impact of beam shape on strength, emphasizing the need for material selection based on engineering properties. The outcome underscores the importance of choosing materials carefully to ensure optimal structural performance in house deck designs exposed to heavy rain. The research concludes with a justification for the most suitable beam design among the members, offering valuable insights for engineering applications.
Machining
Machining continues to be a hot topic within the field of Mechanical Engineering, due to the fact that it allows for high precision and surface quality. Studies around machining remain extremely active, and there is still a strong demand for knowledge and development in this area. Sectors, such as the aeronautical industry, aerospace industry, defense industry, automotive industry and mold industry, are just some of the sectors that depend heavily on this manufacturing process to produce the components that the market requires. The industry continues to require increasingly reliable and competitive solutions, and it is up to science to study means of achieving these ends. This reprint seeks to compile a series of articles that contribute to the increasing knowledge in this area.
Design and Control of Electrical Motor Drives
I am very happy to have this Special Issue of the journal Energies on the topic of Design and Control of Electrical Motor Drives published. Electrical motor drives are widely used in the industry, automation, transportation, and home appliances. Indeed, rolling mills, machine tools, high-speed trains, subway systems, elevators, electric vehicles, air conditioners, all depend on electrical motor drives.However, the production of effective and practical motors and drives requires flexibility in the regulation of current, torque, flux, acceleration, position, and speed. Without proper modeling, drive, and control, these motor drive systems cannot function effectively.To address these issues, we need to focus on the design, modeling, drive, and control of different types of motors, such as induction motors, permanent magnet synchronous motors, brushless DC motors, DC motors, synchronous reluctance motors, switched reluctance motors, flux-switching motors, linear motors, and step motors.Therefore, relevant research topics in this field of study include modeling electrical motor drives, both in transient and in steady-state, and designing control methods based on novel control strategies (e.g., PI controllers, fuzzy logic controllers, neural network controllers, predictive controllers, adaptive controllers, nonlinear controllers, etc.), with particular attention to transient responses, load disturbances, fault tolerance, and multi-motor drive techniques. This SI include original contributions regarding recent developments and ideas in motor design, motor drive, and motor control. The topics include motor design, field-oriented control, torque control, reliability improvement, advanced controllers for motor drive systems, DSP-based sensorless motor drive systems, high-performance motor drive systems, high-efficiency motor drive systems, and practical applications of motor drive systems. I want to sincerely thank authors, reviewers, and staff members for their time and efforts.
Application of Data-Driven Method for HVAC System
This reprint, entitled "Application of data-driven method for HVAC System", is dedicated to providing an overview of the latest achievements in the application of data-driven methods for HVAC systems. Topics of interest include, but are not limited to, the following: fault detection and diagnosis of HVAC systems; energy consumption prediction; model predictive control; data mining and analysis of HVAC systems; data mining and analysis of building environment; energy conservation; energy saving.
Eliminating Ma Bell
Long-distance communication has undergone a revolution thanks to Voip. These days, the majority of businesses, institutions, and even hospitals use it. VoIP calls have evolved into a dependable means of communication for both personal and business purposes, yet many people are still unaware of what it is. All of your questions can be answered in detail by this software called "Getting Rid of Ma Bell."You may learn everything there is to know about mobile voip, including its advantages and how to use it to make calls, by downloading this app to your devices. Voip has certain advantages and disadvantages, which are exposed in this software, just like any service does. This programme serves as a comprehensive voip manual. It briefly covers the following subjects so that you can grasp the idea behind voip calls and what equipment you'll need. What is this VoIP stuff all about? What VoIP should you have? How can I get on the phone? Benefits and drawbacks of VoIP Can business use make use of it? How should one decide?
Introduction to Construction Health and Safety Management 1e
-This book is designed to introduce its readers to the management of construction health and safety at an elementary and foundational level. -Other texts attempt a single volume to address the entire scope of the construction health and safety management space. -The book draws on the hands-on industry experience of the author as well as the key findings of completed relevant research projects. -This experience is complemented by extracting from the existing body of knowledge on construction health and safety. The book does not claim to the construction health and safety professional space and as such will contribute to how they interact with the industry. -It will provide the knowledge base underpinned by theories, methodologies, and principles essential for the effective management of construction health and safety on construction projects both in the private and public sectors. If the principles espoused in this text are implemented, construction health and safety will be better managed.
Data Driven Decision-Making for Complex Production Systems
The complexity of production processes is on the rise due to evolving technology and changing lifestyles. This complexity can stem from factors within the production system or be influenced by characteristics or events external to the system. This reprint aims to conduct rigorous research focused on the application of data-driven decision-making algorithms to address diverse challenges within complex production systems.
Sustainable Supply Chains in Industrial Engineering and Management
The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
Industry 4.0 - The Global Industrial Revolution
This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as leaders in research and industrial application of smart manufacturing concepts.
A Billion Little Pieces
How RFID, a ubiquitous but often invisible mobile technology, identifies tens of billions of objects as they move through the world. RFID (Radio Frequency Identification) is ubiquitous but often invisible, a mobile technology used by more people more often than any flashy smartphone app. RFID systems use radio waves to communicate identifying information, transmitting data from a tag that carries data to a reader that accesses the data. RFID tags can be found in credit cards, passports, key fobs, car windshields, subway passes, consumer electronics, tunnel walls, and even human and animal bodies--identifying tens of billions of objects as they move through the world. In this book, Jordan Frith looks at RFID technology and its social impact, bringing into focus a technology that was designed not to be noticed. RFID, with its ability to collect unique information about almost any material object, has been hyped as the most important identification technology since the bar code, the linchpin of the Internet of Things--and also seen (by some evangelical Christians) as a harbinger of the end times. Frith views RFID as an infrastructure of identification that simultaneously functions as an infrastructure of communication. He uses RFID to examine such larger issues as big data, privacy, and surveillance, giving specificity to debates about societal trends. Frith describes how RFID can monitor hand washing in hospitals, change supply chain logistics, communicate wine vintages, and identify rescued pets. He offers an accessible explanation of the technology, looks at privacy concerns, and pushes back against alarmist accounts that exaggerate RFID's capabilities. The increasingly granular practices of identification enabled by RFID and other identification technologies, Frith argues, have become essential to the working of contemporary networks, reshaping the ways we use information.
Technology’s Storytellers
Technology's Storytellers documents the emergence of the history of technology as a coherent intellectual discipline. Based on an analysis of nearly 300 articles published in Technology and Culture, it proposes a mode of historical research as a communal rather than an individualistic endeavor--looking for patterns of consensus in the authors' choice of time periods, geographical locations, and types of technology to study. It discusses the recurrent themes of the relationship between science and technology and the cultural ambience of technology, and examines the extent to which historians are moving away from a once pervasive ideology of autonomous technological progress. Co-published with the Society for the History of Technology.
Open Space
An examination of environmental satellite data sharing policies, offering a model of data-sharing policy development, case and practical recommendations for increasing global data sharing. Key to understanding and addressing climate change is continuous and precise monitoring of environmental conditions. Satellites play an important role in collecting climate data, offering comprehensive global coverage that can't be matched by in situ observation. And yet, as Mariel Borowitz shows in this book, much satellite data is not freely available but restricted; this remains true despite the data-sharing advocacy of international organizations and a global open data movement. Borowitz examines policies governing the sharing of environmental satellite data, offering a model of data-sharing policy development and applying it in case studies from the United States, Europe, and Japan--countries responsible for nearly half of the unclassified government Earth observation satellites. Borowitz develops a model that centers on the government agency as the primary actor while taking into account the roles of such outside actors as other government officials and non-governmental actors, as well as the economic, security, and normative attributes of the data itself. The case studies include the U.S. National Aeronautics and Space Administration (NASA) and the U.S. National Oceanographic and Atmospheric Association (NOAA), and the United States Geological Survey (USGS); the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT); and the Japanese Aerospace Exploration Agency (JAXA) and the Japanese Meteorological Agency (JMA). Finally, she considers the policy implications of her findings for the future and provides recommendations on how to increase global sharing of satellite data.
Acousto-Optical Spectral Technologies
Acousto-optic technologies have increasingly attracted the attention of scientists and engineers. Acousto-optic interactions have become the flexible basis of compact and robust devices for the analysis of the intensity, spectrum, polarization, and other properties of light. In this book, modern trends of acousto-optical spectral technologies, including the fundamentals and optimization of existing techniques, are highlighted and discussed. This reprint provides a forum for reports on technical developments that allow the spectral analysis of various objects to take place. The goal of this reprint is to provide readers with an overview of the hot topics and the state of the art regarding the applications of acousto-optic techniques, including new materials and structures, theoretical and experimental studies of light diffraction by ultrasonic waves, spectroscopy, and spectral imaging.
Fault Detection and State Estimation in Automatic Control
Fault detection and state estimation are essential tasks for ensuring the reliability, safety and performance of automatic control systems. They play a critical role in detecting and isolating faults quickly and accurately, enabling timely corrective action and preventing system failures. The field of fault detection and state estimation has seen significant advances in recent years, driven by the integration of advanced methodologies with cutting-edge technologies, in particular artificial intelligence and deep learning. These techniques have demonstrated remarkable capabilities in fault diagnosis, state estimation and fault-tolerant control, especially in complex multi-sensor systems.This Special Issue highlights and discusses the design and application of fault detection algorithms, the design and application of state estimation methods, the design and application of machine learning algorithms, the analysis of automatic control system characteristics, and the design and application of intelligent control systems. Nevertheless, many challenges remain and require attention, including scalability, computational efficiency, online implementation, fault isolation, fault recovery and fault-tolerant control. Additional research efforts are therefore essential to advance both the theory and practice of this critical task.
Computational Analytical Methods for Buildings and Cities
This Special Issue presents computational techniques used to examine the social, spatial, and functional characteristics of buildings and cities. Focused on two renowned computational methods in architectural and urban analytics-Shape Grammar and Space Syntax-this reprint demystifies the 'grammar', 'syntax', and 'style' of space and form. These properties are used to understand the fabric of built environments, and their underlying tendencies, social patterns, and potentials.With these articles, this Special Issue serves as a compass for architects, urban planners, researchers, and students navigating architectural and urban designs. Each contribution emphasizes the fundamental principles of design analysis or generation, offering insights into a range of topics, such as historic architecture, spatial genotypes and configurations, agent-based modelling, and urban landmarks. The readers of this volume will improve their understanding of the planning and optimization of built environments, as well as the creation of future cities.
Mine Hazards Identification, Prevention and Control
In human social development, the consumption of fossil energy, especially coal, has promoted economic prosperity, cultural exchanges, and social progress. With shallow coal resources exhausted, coal mining engineering has entered deep areas. The coal geology environment of the deep area differs from that of the shallow. With mining depth increasing, all the stress of buried rock stratum and surrounding rock and gas pressure of coal seam increase gradually. In addition, geological structures, such as complex faults, big folds, and thick-hard roofs, will increase the risk of coal mining. Once the dynamic disaster occurs, it will induce miner casualties and property losses. So, it is urgent to identify mine hazards, such as coal and gas outbursts, rock bursts, gas explosions, and coal fires, and research their formation mechanism, occurrence, and development process. Furthermore, prevention and control methods should be proposed to reduce mine disasters. Only in this way can we promote the safe, green, and efficient development of coal mining. This Topical Collection, titled "Mine Hazards Identification, Prevention, and Control," aims to allow global researchers to conduct a broader scientific and technological discussion on such advances to improve the prevention and control level of disasters encountered during underground coal mining. The discussion topics include, but are not limited to, the basic experiments, modeling, numerical simulation, and field tests of aforementioned disasters.
Advances in Smart Materials and Structures
Smart materials and structures are capable of active or passive changes in terms of shapes, properties, and mechanical or electromagnetic responses in reaction to an external stimulus, such as light, temperature, stress, moisture, pH, and electric or magnetic fields. They have attracted increasing interest for their enhanced performance and efficiency over a wide range of industrial applications, especially for aerospace. These require novel engineering approaches and design philosophies in order to integrate the actions of sensors, actuators, and control circuit elements into a single system that can respond adaptively to its surroundings. This reprint has collected cutting-edge research and recent advances in smart materials and structures, including seven original research papers and three review articles, co-authored by 65 scientists and engineers from 18 institutions and 3 industries. The research topics mainly cover advanced materials, applications of smart materials and structures, as well as recent development in sensing techniques. We hope this reprint will contribute to disseminating the latest progress in smart materials and structures, as well as stimulate the interest of its audience to work in this important and vibrant area to promote and benefit the multidisciplinary scientific communities.
Speaker Recognition
Bachelor Thesis from the year 2019 in the subject Engineering - Computer Engineering, grade: A, National University of Malaysia (Apu), course: Mechatronics, language: English, abstract: Voice recognition is a computer software program or hardware device with the ability to decode the human voice. Voice recognition is a system that allows for a secure method of authenticating speakers, the system work in such a way that it general speaker model during the enrollment phase which based on the speaker characteristics. The system testing phase typically involves making a claim on the identity of an unknown speaker using the given speech characteristics and the trained models. However, speaker identification is known to be one among the two categories of speaker recognition system because speaker recognition can be categorized also as speaker verification whereas, the main difference between both speaker identification and speaker verification ensure to known if the person speaking and claim to be is fully verified while speaker identification make multiple decision by comparing of the person speaking with the one trained or store in database as an attempt to identify the speaker. The interest of the assignment is speaker identification; therefore, speaker identification is the main focus for this study.
Condition Monitoring and Failure Prevention of Electric Machines
This is a reprint of a Special Issue of Energies, titled "Condition Monitoring and Failure Prevention of Electric Machines". This Special Issue primarily focused on the issues related to the advanced monitoring, diagnosis, and prevention of typical and complex faults in all kinds of electric machines. Four guest editors, namely Prof. Yu-Ling He (Department of Mechanical Engineering, North China Electric Power University, China), Prof. David Gerada (PEMC group, University of Nottingham, UK), Prof. Conggan Ma (School of Automotive Engineering, Harbin Institute of Technology, China), and Prof. Haisen Zhao (School of Electrical and Electronics Engineering, North China Electric Power University, China), worked together on this Special Issue.
Introduction to Intelligent Systems, Control, and Machine Learning Using MATLAB
Dive into the foundations of intelligent systems, machine learning, and control with this hands-on, project-based introductory textbook. Precise, clear introductions to core topics in fuzzy logic, neural networks, optimization, deep learning, and machine learning, avoid the use of complex mathematical proofs, and are supported by over 70 examples. Modular chapters built around a consistent learning framework enable tailored course offerings to suit different learning paths. Over 180 open-ended review questions support self-review and class discussion, over 120 end-of-chapter problems cement student understanding, and over 20 hands-on Arduino assignments connect theory to practice, supported by downloadable Matlab and Simulink code. Comprehensive appendices review the fundamentals of modern control, and contain practical information on implementing hands-on assignments using Matlab, Simulink, and Arduino. Accompanied by solutions for instructors, this is the ideal guide for senior undergraduate and graduate engineering students, and professional engineers, looking for an engaging and practical introduction to the field.
Line Following with Obstacle Avoidance using BOE-BOT
Seminar paper from the year 2019 in the subject Engineering - Robotics, grade: A, The University of Malaya (Asia Pacific University), course: Mechatronics, language: English, abstract: In this assignment, programming the BOE-BOTS for maze solving was required. The BOE-BOTS were tasked to follow a specific line from the start to the end. In addition to that, there would be obstacles that the BOE-BOTS need to face. The BOE-BOTS will have to avoid those obstacles and reach the end. This report was written for the purpose of discussing the process of developing the program used in this assignment for the maze solving. Firstly, it will provide the reader with a technical background so they can understand the process of development of the program made for this assignment. Secondly, the used codes would be keenly analyzed and explained. Third and lastly, the challenges that were encountered in the process of developing and the process of developing itself will be talked about in detail followed by a conclusion of the whole report.
