What is Global Engineering Education For? The Making of International Educators, Part III
Global engineering offers the seductive image of engineers figuring out how to optimize work through collaboration and mobility. Its biggest challenge to engineers, however, is more fundamental and difficult: to better understand what they know and value qua engineers and why. This volume reports an experimental effort to help sixteen engineering educators produce ""personal geographies"" describing what led them to make risky career commitments to international and global engineering education. The contents of their diverse trajectories stand out in extending far beyond the narrower image of producing globally-competent engineers. Their personal geographies repeatedly highlight experiences of incongruence beyond home countries that provoked them to see themselves and understand their knowledge differently. The experiences were sufficiently profound to motivate them to design educational experiences that could provoke engineering students in similar ways. For nine engineers, gaining new international knowledge challenged assumptions that engineering work and life are limited to purely technical practices, compelling explicit attention to broader value commitments. For five non-engineers and two hybrids, gaining new international knowledge fueled ambitions to help engineering students better recognize and critically examine the broader value commitments in their work. A background chapter examines the historical emergence of international engineering education in the United States, and an epilogue explores what it might take to integrate practices of critical self-analysis more systematically in the education and training of engineers. Two appendices and two online supplements describe the unique research process that generated these personal geographies, especially the workshop at the U.S. National Academy of Engineering in which authors were prohibited from participating in discussions of their manuscripts. Table of Contents: Communicating Across Cultures: Humanities in the International Education of Engineers (Bernd Widdig) / Linking Language Proficiency and the Professions (Michael Nugent) / Language, Life, and Pathways to Global Competency for Engineers (and Everyone Else) (Phil McKnight) / Bridging Two worlds (John M. Grandin) / Opened Eyes: From Moving Up to Helping Students See (Gayle G. Elliott) / What is Engineering for? A Search for Engineering beyond Militarism and Free-markets (Juan Lucena) / Location, Knowledge, and Desire: From Two Conservatisms to Engineering Cultures and Countries (Gary Lee Downey) / Epilogue - Beyond Global Competence: Implications for Engineering Pedagogy (Gary Lee Downey)
Keyword Search in Databases
It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics. Table of Contents: Introduction / Schema-Based Keyword Search on Relational Databases / Graph-Based Keyword Search / Keyword Search in XML Databases / Other Topics for Keyword Search on Databases
Collaborative Web Search
Today, Web search is treated as a solitary experience. Web browsers and search engines are typically designed to support a single user, working alone. However, collaboration on information-seeking tasks is actually commonplace. Students work together to complete homework assignments, friends seek information about joint entertainment opportunities, family members jointly plan vacation travel, and colleagues jointly conduct research for their projects. As improved networking technologies and the rise of social media simplify the process of remote collaboration, and large, novel display form-factors simplify the process of co-located group work, researchers have begun to explore ways to facilitate collaboration on search tasks. This lecture investigates the who, what, where, when and why of collaborative search, and gives insight in how emerging solutions can address collaborators' needs. Table of Contents: Introduction / Who? / What? / Where? / When? / Why? / Conclusion: How?
Engineering and Social Justice
The profession of engineering in the United States has historically served the status quo, feeding an ever-expanding materialistic and militaristic culture, remaining relatively unresponsive to public concerns, and without significant pressure for change from within. This book calls upon engineers to cultivate a passion for social justice and peace and to develop the skill and knowledge set needed to take practical action for change within the profession. Because many engineers do not receive education and training that support the kinds of critical thinking, reflective decision-making, and effective action necessary to achieve social change, engineers concerned with social justice can feel powerless and isolated as they remain complicit. Utilizing techniques from radical pedagogies of liberation and other movements for social justice, this book presents a roadmap for engineers to become empowered and engage one another in a process of learning and action for social justice and peace. Table of contents: What Do we Mean by Social Justice? / Mindsets in Engineering / Engineering and Social Injustice / Toward a More Socially Just Engineering / Turning Knowledge into Action: Strategies for Change / Parting Lessons for the Continuing Struggle
Dependency Parsing
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
Sustainable Innovation
Many of us wish we could design inventions and make decisions that were optimal and sustainable, but we do not know how to begin the approach. This book offers a guide to dramatically improve the quality of innovation and solution-making through the respectful use of existing and abundant, but often-ignored, resources. Sustainable innovation is about creative combination of ideas, materials, methods, and people, courage to derive value from opposition and diversity, integrative intelligence, virtuous planning, minimal consumption of resources, and definition of alternative plans. Using the method successfully requires that we are truly interested in the common good of humankind, that we care about our environment, and that we take time to think carefully about consequences before we act, invent, or make decisions. It is a call for a much-needed collaboration between people of different backgrounds, skills, and opinions with the intent to preserve individual and local integrity and adopt a win-win mindset. Try it, and partake in its positive and long-lasting effects! Key Features - Description of sustainable innovation and the untapped innovation potential - Sustainable innovation requirements - Sustainable innovation attitudes - Step-by-step guide to sustainable innovation - Application to 21st century challenges - A global win-win scenario Table of Contents: Innovation Attitudes / Inspiration from the Natural and Behavioral Sciences / Untapped Sustainable Innovation Potential / Step-by-Step Guide to Sustainable Innovation / Notes on the Application to 21st century challenges/ Personal Step-by-Step Work Section / Looking to the Future
Informing Chemical Engineering Decisions with Data, Research, and Government Resources
This book offers new engineers and engineering students appropriate and effective strategies to find data, statistics, and research to support decision making. The authors describe the utility of solid reputable sources and help readers go beyond reliance on the quick Internet search, a habit which is often both inadequate to complex tasks and a source of criticism from employers. Some sources are free; others are available through libraries, or by purchase or subscription. This title can be used as a guide in concert with the advice of professors and colleagues, and potentially as a textbook. The examples are primarily from chemical and agricultural engineering, but the strategies could be adapted to other disciplines. An array of sources are shown, ranging from scholarly or professional societies, data sources, and books, to handbooks and journal sources, and less commonly used credible government documents and Web resources, including information from the USDA, the EPA and the DOE. Two case studies show research processes and the application of the underlying strategies and some of the tools.
Probabilistic Ranking Techniques in Relational Databases
Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, the interplay between ranking and uncertainty models introduces new dimensions for ordering query results that do not exist in the traditional settings. This lecture describes new formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional ranking semantics with possible worlds semantics under widely-adopted uncertainty models. In particular, we focus on discussing the impact of tuple-level and attribute-level uncertainty on the semantics and processing techniques of ranking queries. Under the tuple-level uncertainty model, we describe new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty model, we describe new probabilistic ranking models and a set of query evaluation algorithms, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join methods to handle uncertainty in scoring attributes. Table of Contents: Introduction / Uncertainty Models / Query Semantics / Methodologies / Uncertain Rank Join / Conclusion
Cement Types, Admixtures, and Technical Procedures of Cement Analysis
A bulky document on cement science and manufacturing technology is difficult for a college junior to easily understand. Thus, it is better to write a short and precise book that contains only the necessary basic content. This introductory book is designed as a short and concise resource for undergraduate university students studying chemical science (chemistry and chemical engineering), material science, geology, and construction technology. It emphasizes different types of cement, admixtures, and how to analyze the chemical compositions of cement in the laboratory. Technical procedures of cement analysis are very important for determining and comparing chemical compositions. This book describes the detailed procedures for different test parameters.
Electronic Measurements
Measurement is the process of obtaining the magnitude of a quantity relative to an agreed standard. Electronic measurement, which is the subject of this book, is the measurement of electronic quantities like voltage, current, resistance, inductance, and capacitance, to name a few. This book provides practical information concerning the techniques in electronic measurements and knowledge on how to use the electronic measuring instruments appropriately. The book is composed of five chapters. Chapter 1 focuses on digital multimeters. You will learn how to use it for measurement of AC/DC voltages/currents, resistance, connection test, and diode forward voltage drop test. Chapter 2 focuses on power supplies. Although power supplies are not a measurement device, they have an undeniable role in many measurements. So, being able to use power supplies correctly is quite important. Chapter 3 focuses on function generators. Like the power supplies, the function generators are not a measurement device in the first look. However, they play a very important role in many electronic measurements. So, being able to use a function generator correctly is an important skill any technician or engineer needs. Chapter 4 focuses on oscilloscopes. These days, digital oscilloscopes are the most commonly used tool in both industry and university. Because of this, this chapter focuses on digital oscilloscopes not on the analog ones which are almost obsolete. Chapter 5 focuses on drawing graph of data you obtained from your measurement. Visualization of data is very important in practical works. This chapter show how you can use MATLAB(R) for drawing the graph of your measurements. This book could be used a laboratory supplement for students of electrical/mechanical/mechatronics engineering, for technicians in the field of electrical/electronics engineering, and for anyone who is interested to make electronic circuits.
Declarative Networking
Declarative Networking is a programming methodology that enables developers to concisely specify network protocols and services, which are directly compiled to a dataflow framework that executes the specifications. Declarative networking proposes the use of a declarative query language for specifying and implementing network protocols, and employs a dataflow framework at runtime for communication and maintenance of network state. The primary goal of declarative networking is to greatly simplify the process of specifying, implementing, deploying and evolving a network design. In addition, declarative networking serves as an important step towards an extensible, evolvable network architecture that can support flexible, secure and efficient deployment of new network protocols. This book provides an introduction to basic issues in declarative networking, including language design, optimization and dataflow execution. The methodology behind declarative programming of networks is presented, including roots in Datalog, extensions for networked environments, and the semantics of long-running queries over network state. The book focuses on a representative declarative networking language called Network Datalog (NDlog), which is based on extensions to the Datalog recursive query language. An overview of declarative network protocols written in NDlog is provided, and its usage is illustrated using examples from routing protocols and overlay networks. This book also describes the implementation of a declarative networking engine and NDlog execution strategies that provide eventual consistency semantics with significant flexibility in execution. Two representative declarative networking systems (P2 and its successor RapidNet) are presented. Finally, the book highlights recent advances in declarative networking, and new declarative approaches to related problems. Table of Contents: Introduction / Declarative Networking Language / Declarative Networking Overview / Distributed Recursive Query Processing / Declarative Routing / Declarative Overlays / Optimization of NDlog / Recent Advances in Declarative Networking / Conclusion
Physics Experiments with Arduino and Smartphones
This book on the use of Arduino and Smartphones in physics experiments, with a focus on mechanics, introduces various techniques by way of examples. The main aim is to teach students how to take meaningful measurements and how to interpret them. Each topic is introduced by an experiment. Those at the beginning of the book are rather simple to build and analyze. As the lessons proceed, the experiments become more refined and new techniques are introduced. Rather than providing recipes to be adopted while taking measurements, the need for new concepts is raised by observing the results of an experiment. A formal justification is given only after a concept has been introduced experimentally. The discussion extends beyond the taking of measurements to their meaning in terms of physics, the importance of what is learned from the laws that are derived, and their limits. Stress is placed on the importance of careful design of experiments as to reduce systematic errors and on good practices to avoid common mistakes. Data are always analyzed using computer software. C-like structures are introduced in teaching how to program Arduino, while data collection and analysis is done using Python. Several methods of graphical representation of data are used.
Production Sound Mixer
Edgar Iacolenna takes you on a discovery of the profession of production sound mixer.What is this book?It represents the 'journey', in a figurative sense, that he wanted to undertakein order to discover the various ways of understanding this profession; thevarious ways of approaching the profession of production sound mixer and, therefore, the recording of sound on set.He had the opportunity to interview seven top international sound engineers, chosen by him and ask them twelve questions.
Numerical Heat Transfer and Fluid Flow 2021
This reprint focuses on experiments, modellings, and simulations of heat transfer and fluid flow. Flowing media comprise single- or two-phase fluids that can be both compressible and incompressible. The reprint presents unique experiments and solutions to problems of scientific and industrial relevance in the transportation of natural resources, technical devices, industrial processes, etc. In the presented works, the formulated physical and mathematical models together with their boundary and initial conditions and numerical computation methods for constitutive equations lead to solutions for selected examples in engineering.
Fiber Optic Sensors in Chemical and Biological Applications
The Special Issue "Fiber Optic Sensors in Chemical and Biological Applications" gathers recent original papers. The subjects of the papers cover a broad range of optical fiber chemical sensors and biosensors applied for regulation in bioreactors, to novel concepts of intrinsic optical fiber sensors.
Photonic Biosensors
The role of nanotechnologies in personalized medicine is rising remarkably in the last decade because of the ability of these new sensing systems to diagnose diseases from early stages and the availability of continuous screenings to characterize the efficiency of drugs and therapies for each single patient. Recent technological advancements are allowing the development of biosensors in low-cost and user-friendly platforms, thereby overcoming the last obstacle for these systems, represented by limiting costs and low yield, until now. In this context, photonic biosensors represent one of the main emerging sensing modalities because of their ability to combine high sensitivity and selectivity together with real-time operation, integrability, and compatibility with microfluidics and electric circuitry for the readout, which is fundamental for the realization of lab-on-chip systems.This book, "Photonic Biosensors: Detection, Analysis and Medical Diagnostics", has been published thanks to the contributions of the authors and collects research articles, the content of which is expected to assume an important role in the outbreak of biosensors in the biomedical field, considering the variety of the topics that it covers, from the improvement of sensors' performance to new, emerging applications and strategies for on-chip integrability, aiming at providing a general overview for readers on the current advancements in the biosensing field.
Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
Polymer Composites for Electrical and Electronic Engineering Application
Polymer composite materials have attracted great interest for the development of electrical and electronic engineering and technology, and have been widely applied in electrical power systems, electrical insulation equipment, electrical and electronic devices, etc. Due to the significant expansion in the use of newly developed polymer composite materials, it is necessary to understand and accurately describe the relationship between composite structure and material properties, as only based on thorough laboratory characterization is it possible to estimate the properties for their future commercial applications. This book focuses on polymer composites applied in the field of electrical and electronic equipment, including but not limited to synthesis and preparation of new polymeric materials, structure-properties relationship of polymer composites, evaluation of materials application, simulation and modelling of material performance.
Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications
Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.
Wide Bandgap Based Devices
Wide bandgap (WBG) semiconductors are becoming a key enabling technology for several strategic fields, including power electronics, illumination, and sensors. This reprint collects the 23 papers covering the full spectrum of the above applications and providing contributions from the on-going research at different levels, from materials to devices and from circuits to systems.
Water Resources Management Models for Policy Assessment
This book is a compilation of original research articles that apply a variety of techniques to identify and evaluate water resource management policies. These papers cover a wide range of topics and methodologies applied across the world, from a local to a continental scope. They illustrate open challenges in water resource management, such as the quantitative assessment of policy impacts, trade-off analyses, understanding the water-energy-food-environment nexus, collaborative model development, stakeholder engagement, formalizing social interactions, or improving the theoretical understanding of complex adaptive systems. Therefore, this book is a representation of research areas that have emerged from the origins of water resource systems analysis, seeking to improve the way in which water policy is formulated and implemented.
Angel Island
Transnational Research in Technical Communication considers the complexities of intercultural projects from a compelling perspective: first-hand narrative reflections. Readers go behind the scenes as scholars share their experiences crossing a variety of borders in their efforts to engage in knowledge-making endeavors. Interwoven through each chapter are stories of how projects were designed, adapted, and sometimes even failed. The collection begins with an introduction situating it at the intersection of recent scholarship in storywork, intercultural research, and technical and professional communication's social justice turn. Each chapter concludes with discussion questions and recommendations for further reading. The closing chapter reveals a nascent "ethic of transnational and intercultural research" growing out of contributors' lessons learned and generous reflections. Anyone interested in or planning to undertake a transnational or intercultural project can benefit from these storied case studies, and as a result, this collection contributes to moving the field forward as it strives to promote more ethically aware and responsive research.
Advances on Smart Cities and Smart Buildings
Modern cities are facing the challenge of combining competitiveness at the global city scale and sustainable urban development to become smart cities. A smart city is a high-tech, intensive and advanced city that connects people, information, and city elements using new technologies in order to create a sustainable, greener city; competitive and innovative commerce; and an increased quality of life. This Special Issue collects the recent advancements in smart cities and covers different topics and aspects.
Waste Heat Recovery in Process Industries
Explore modern waste heat recovery technology across a variety of industries In Waste Heat Recovery in Process Industries, esteemed thermal engineer Hussam Jouhara delivers an organized and comprehensive exploration of waste heat recovery systems with a focus on industrial applications in different temperature ranges. The author describes various waste heat recovery systems, like heat exchangers, waste heat boilers, air preheaters, direct electrical conversion devices, and thermal storage. The book also offers discussions of the technologies and applications relevant to different temperature ranges present in industrial settings along with revealing case studies from various industries. Waste Heat Recovery in Process Industries examines a variety of industries, from steel to ceramics, chemicals, and food, and how plants operating in these sectors can use waste heat to improve their energy efficiency, reduce energy costs, and minimize their carbon footprint. The book also offers: A thorough introduction to waste heat recovery systems, including recuperative and regenerative burners, heat exchangers, waste heat boilers, air preheaters, and heat pumps Comprehensive explorations of low temperature applications, below 100簞C, including advantages and drawbacks, as well as illustrative case studies Practical discussions of medium temperature applications, between 100簞C and 400簞C, including case studies In-depth examination of high temperature applications, above 400簞C, including several case studies Perfect for chemical, mechanical, process, and power engineers, Waste Heat Recovery in Process Industries is also an ideal resource for professionals working in the chemical, metal processing, pharmaceutical, and food industries.
Machine Learning in Tribology
Tribology has been and continues to be one of the most relevant fields, being present in almost all aspects of our lives. The understanding of tribology provides us with solutions for future technical challenges. At the root of all advances made so far are multitudes of precise experiments and an increasing number of advanced computer simulations across different scales and multiple physical disciplines. Based upon this sound and data-rich foundation, advanced data handling, analysis and learning methods can be developed and employed to expand existing knowledge. Therefore, modern machine learning (ML) or artificial intelligence (AI) methods provide opportunities to explore the complex processes in tribological systems and to classify or quantify their behavior in an efficient or even real-time way. Thus, their potential also goes beyond purely academic aspects into actual industrial applications. To help pave the way, this article collection aimed to present the latest research on ML or AI approaches for solving tribology-related issues generating true added value beyond just buzzwords. In this sense, this Special Issue can support researchers in identifying initial selections and best practice solutions for ML in tribology.
Innovations in Photogrammetry and Remote Sensing
The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.
Socio-economic and environmental contributions of agroforestry practice in Lay Armachiho Woreda Amhara region, Ethiopia
Master's Thesis from the year 2019 in the subject Agrarian Studies, language: English, abstract: The plant species diversity and socio-economic contributions of agroforestry practices have not well known in Lay Armachiho Woreda. Therefore, this study was conducted with the objective of assessing environmental and socio-economic contribution of agroforestry practices in Lay Armachiho Woreda. The basic data employed in this study were obtained from three randomly selected kebele from 29 rural kebele and 183 randomly selected sample households from 1905 households. A simple random sampling procedure was employed to select the sample farm household heads. The data that was gathered using a semi structured questioner were analyzed using descriptive statistics Focus group discussions, Field observation, and key informants interviews were analyzed using content analysis Ground survey were analyzed using Shannon diversity index and Simpson diversity index.
Advances in Food, Bioproducts and Natural Byproducts for a Sustainable Future
The world population is expected to reach almost 10,000 million in 2050, so, it is necessary to use our resources efficiently: to produce more food using less land and pollute less, to optimize the production and use of biomass from diversified resources. For this, new approaches and processes, with special emphasis from a biotechnological perspective, may need to be implemented to move towards a circular model that will confer environmental sustainability. In this book, the analysis and optimization of some examples of food and bioproduct processes, as well as development of innovative and emerging food and byproducts processing methods, are considered. Valorization, bioprocessing, and biorefining of food-industry-based streams, the role of industrial microorganisms, the isolation of high added-value compounds, applications of the resulting bio-based chemicals in food manufacturing, novel food formulations, among others, are addressed.
Optical In-Process Measurement Systems
Information is key, which means that measurements are key. For this reason, this book provides unique insight into state-of-the-art research works regarding optical measurement systems. Optical systems are fast and precise, and the ongoing challenge is to enable optical principles for in-process measurements. Presented within this book is a selection of promising optical measurement approaches for real-world applications.
Energy Planning
The world needs an accelerated energy transition to meet sustainable development goals. Energy planning has a critical role in providing the information that can guide decision-makers, and energy planning methods continue to evolve rapidly. This Special Issue provides new insights for long-term energy planning, drawing on the Clean Energy Ministerial Long Term Energy Planning Scenarios initiative and the IRENA LTES network.
Automation and Robotics
This SI presents the latest achievements, challenges and prospects for drives, actuators, sensors, controls and robot navigation with reverse validation and applications in the field of industrial automation and robotics.Automation, supported by robotics, can effectively speed up and improve production. The industrialization of complex mechatronic components, especially robots, requires a large number of special processes already in the pre-production stage provided by modelling and simulation. This area of research from the very beginning includes drives, process technology, actuators, sensors, control systems and all connections in mechatronic systems.Automation and robotics form broad-spectrum areas of research, which are tightly interconnected. To reduce costs in the pre-production stage and to reduce production preparation time, it is necessary to solve complex tasks in the form of simulation with the use of standard software products and new technologies that allow, for example, machine vision and other imaging tools to examine new physical contexts, dependencies and connections.
Cartilage Repair and Regeneration
The present book recapitulates the articles published within the Special Issue "Cartilage Repair and Regeneration: Focus on Multi-Disciplinary Strategies", Applied Sciences, MDPI, dealing with the innovative multi-disciplinary therapeutic approaches for musculoskeletal diseases. In particular the published studies space from advanced 3D bioprinting technology to obtain a scaffold with different zonal cell densities, and biphasic scaffold (ChondroMimetic) construction, pass through the comparison of different techniques for cartilage regeneration such as of mosaicplasty and matrix-assisted autologous chondrocyte transplantation (MACT) and histopathological features of osteochondral units, and end with the considerations regarding development of bioreactors able to mimic the biomechanical load on chondrocytes in vitro, giving some interesting insights in this specific scientific field.
Advancements in Hydropower Design and Operation for Present and Future Electrical Demand
With current infrastructure, meeting the ever-growing demand for electrical energy across the globe is becoming increasingly difficult. The widespread adoption of both commercial and residential non-dispatchable renewable energy facilities, such as solar and wind, further taxes the stability of the electrical grid, often causing traditional fossil fuel power plants to operate at lower efficiency, and with increased carbon emissions. Hydropower, as a proven renewable energy technology, has a significant part to play in the future global electrical power market, especially as increasing demand for electric vehicles will further amplify the need for dispatchable energy sources during peak charging times. Even with more than a century of proven experience, significant opportunities still exist to expand the worldwide hydropower resources and more efficiently utilize existing hydropower installations. Given this context, this Special Issue of Energies intended to present recent developments and advancements in hydropower design and operation. This Special Issue includes five articles, authored by international research teams from Japan, Pakistan, Sweden, Norway, the United States, and China. The authors bring the collective expertise of government research laboratories, university professors, industry research engineers, computer scientists, and economists. The articles explore advancements in hydroturbine and pump-turbine design, power plant operation, auxiliary equipment design to mitigate environmental damage, and an exploration of community-owned small hydropower facilities.
Grease
Everybody has made use of grease in their daily lives. The word "grease" originates from the early Latin word "crassus," meaning fat. For our purposes, in this Special Issue, we will be focusing on lubricating grease, for publication in the eponymous journal Lubricants. According to ASTM, lubricating grease may be defined as "a solid-to-semi-fluid product of dispersed thickening agents in a liquid lubricant". Other functional ingredients, such anti-wear and extreme pressure additives, may be included, with the overall goal of inducing special properties/functionalities.Grease is a very complex lubricant. We have never had a Special Issue focusing on this key product, and lubricating greases are often underrepresented in the technical literature. In recent years, there has been significant progress in research on greases, ranging from the specific chemical formulation of greases for special applications to how grease interacts with various surfaces, tribological advances in grease properties, new techniques for grease property measurements, etc. Recently, greases have also been evolving, as they and play a key role in the lubrication of electric vehicles. We aim to select the top research avenues and papers worldwide related to lubricating greases to form this compilation. This Special Issue wishes to be the first of its kind, and we plan to make this an annual exercise, where our compendium aims to discuss the latest developments worldwide encompassing all areas related to greases.
Mathematics in Software Reliability and Quality Assurance
This monograph concerns the mathematical aspects of software reliability and quality assurance and consists of 11 technical papers in this emerging area. Included are the latest research results related to formal methods and design, automatic software testing, software verification and validation, coalgebra theory, automata theory, hybrid system and software reliability modeling and assessment.
Green Technology and Renewable Energy Projects
Currently, water and energy are among the world biggest challenges. All countries working on increasing industries and searching for progress need energy. Beside the limitation on the energy in the world, the aspect that has limited the use of energy is global warming. Fossil fuels are mostly used in the industries produce greenhouse gasses that cause trapping of the heat in the atmosphere and thus lead to temperatures rising and climate change. The importance of green energy is that it does not have the negative effect of fossil fuels and does not release carbon dioxide as the main greenhouse gas through combustion. This book contains some new studies about the production of renewable energies and applications of green technologies in various processes. The book is useful for researchers in the field of green technologies and also post-graduate students who are interested in expanding their knowledge of novel technologies and green fuels. It contains six chapters. In Chapter 1, a microbial fuel cell was studied and optimized. In Chapter 2, an autonomous model that can be used in cars and agriculture was reviewed. Chapter 3 studies the dehumidification capacity of water walls. Chapter 4 discusses the performance of conventional and unconventional single U-Tube pipe configurations. Chapter 5 studies the power generation table of 40 different locations in Oman. Finally, in Chapter 6 the role of renewable energy in south Asian countries is discussed.
Modeling, Simulation and Control of Wind Diesel Power Systems
Wind diesel power systems (WDPSs) are isolated microgrids that combine diesel generators (DGs) with wind turbine generators (WTGs). Often, WDPS are the result of adding WTGs to a previous existing diesel power plant located in a remote place where there is an available wind resource. By means of power supplied by WTGs, fuel consumption and CO2 emissions are reduced. WDPSs are isolated power systems with low inertia where important system frequency and voltage variations occur. WDPS dynamic modeling and simulation allows short-term simulations to be carried out to obtain detailed electrical variable transients so that WDPS stability and power quality can be tested. This book includes papers on several subjects regarding WDPSs: the main topic of interest is WDPS dynamic modeling and simulation, but related areas such as the sizing of the different WDPS components, studies concerning the control of WDPSs or the use of energy storage systems (ESSs) in WDPSs and the benefits that ESSs provide to WDPS are also discussed. The book also deals with related AC isolated microgrids, such as wind-hydro microgrids or wind-photovoltaic-diesel microgrids.
Additive Manufacturing Research and Applications
This Special Issue book covers a wide scope in the research field of 3D-printing, including: the use of 3D printing in system design; AM with binding jetting; powder manufacturing technologies in 3D printing; fatigue performance of additively manufactured metals, such as the Ti-6Al-4V alloy; 3D-printing methods with metallic powder and a laser-based 3D printer; 3D-printed custom-made implants; laser-directed energy deposition (LDED) process of TiC-TMC coatings; Wire Arc Additive Manufacturing; cranial implant fabrication without supports in electron beam melting (EBM) additive manufacturing; the influence of material properties and characteristics in laser powder bed fusion; Design For Additive Manufacturing (DFAM); porosity evaluation of additively manufactured parts; fabrication of coatings by laser additive manufacturing; laser powder bed fusion additive manufacturing; plasma metal deposition (PMD); as-metal-arc (GMA) additive manufacturing process; and spreading process maps for powder-bed additive manufacturing derived from physics model-based machine learning.
Dairy Products Marketing Channels Analysis. The Case of Ada'a Berga District, Ethiopia
Coccidiosis in fish. Lifecycle of coccidiosis, development, pathogenesis and medications
Seminar paper from the year 2022 in the subject Agrarian Studies, course: Aquaculture, language: English, abstract: The present review has summarized the status of fish coccidia and has provided an insight into the life cycle, taxonomy, transmission, pathogenesis, prevention, and treatment. Coccidiosis is a disease that is caused by protozoan parasites of the apicomplexan genus Eimeria and is transmitted via ingestion of infective oocysts. It affects many vertebrates and invertebrates causing mortality, poor performance of animals, and reduce productivity. This disease mostly affects the poultry sector, but its different species are also present in fish and cause economic loss. Coccidiosis in fish has been studied extensively, as it is regarded as chronic and its impact is easily overlooked. There are at least 18 genera under 3 families of order Eucoccidiorida that are responsible to cause some form of coccidiosis in different animals including mammals, avians as well as piscine. About 250 species of coccidiosis are known to occur in fish and among them, Eimeria and Goussia spp are the most prevalent ones. Taxonomic classification has been a difficult task and is determined on the basis of morphological features of oocysts. Coccidiosis generally has 3 stages in its lifecycle, with some variation according to species. About 30% of coccidia develops extraintestinal, and most of the fish coccidia are kept under an Eimeria genus. Transmission occurs via direct as well as by indirect method, but direct method id more common and simple. Coccidiosis can cause mild to serve damage and pathogenesis can differ with species. For prevention and control, different anticoccidial drugs are used. However, sanitation is a prime factor to reduce the risk of oocyst's introduction in animals.
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
Advanced Sensing and Image Processing Techniques for Healthcare Applications
This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.
Data-Driven Identification of Networks of Dynamic Systems
This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in system identification for networked systems.
Advances in Public Transport Platform for the Development of Sustainability Cities
Modern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency.
Reliability Analysis Using Minitab and Python
Reliability Analysis Using MINITAB and Python Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided. Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Nonetheless, it also covers material on basic statistics at the beginning, so students who are not familiar with statistics can follow the material as well. Written by a highly qualified author in the field, sample topics covered in Reliability Analysis Using Minitab and Python include: Establishing a basic statistical background, with a focus on probability, joint probability, union probability, conditional probability, mutually exclusive events, and bayes' rule Statistical distributions, with a focus on discrete cases, continuous cases, exponential distribution, Weibull distribution, normal distribution, and lognormal distribution Reliability data plotting, with a focus on straight line properties, least squares fit, linear rectification, exact failure times, and readout failure data Accelerated life testing, with a focus on accelerated testing theory, exponential distribution acceleration, and Weibull distribution acceleration System failure modeling, with a focus on reliability block diagram, series system model, parallel system model, k-out-of-n system model, and minimal paths and minimal cuts. Repairable systems, with a focus on corrective and preventive maintenances, availability, maintainability, and preventive maintenance scheduling Reliability Analysis Using Minitab and Python serves as an excellent introductory level textbook on the topic for both undergraduate and graduate students. It presents information clearly and concisely and includes many helpful additional learning resources to aid in understanding of concepts, information retention, and practical application.
Regulatory Data Science for Medical Devices
Regulations that cover the legal obligations that manufacturers are bound to are essential for keeping the general public safe. Companies need to follow the regulations in order to bring their products to market. A good understanding of the regulations and the regulatory pathway defines how fast and at what cost the manufacturer can introduce innovations to the market. Regulatory technology and data science can lead to new regulatory processes and evidence in the medical field. It can equip stakeholders with unique tools that can make regulatory decisions more objective, efficient, and accurate. This book describes the latest research within the broader domain of Medical Regulatory Technology (MedRegTech). It covers concepts such as the complexity and user-friendliness of medical device regulations, novel algorithms for regulatory navigation, descriptive datasets from a health service provider, regulatory data science techniques, and considerations of the environmental impacts within a national health service. This book brings all these aspects together to offer an introduction into MedRegTech research. In the long term, these technologies and methods will help optimize the regulatory strategy for individual healthcare innovations and revolutionize the way we engage with regulatory services.
Iron and Steel Magazine; Volume 3
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