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"Family history is one of the most widely practiced forms of public history around the globe, especially in settler migrant nations like Australia and Canada. It empowers millions of researchers, linking the past to the present in powerful ways, transforming individuals' understandings of themselves and the world. This book examines the practice, meanings and impact of undertaking family history research for individuals and society more broadly. In this ground-breaking new book, Tanya Evans shows how family history fosters inter-generational and cross-cultural, religious and ethnic knowledge, how it shapes historical empathy and consciousness and combats social exclusion, producing active citizens. Evans draws on her extensive research on family history, including survey data, oral history interviews and focus groups undertaken with family historians in Australia, England and Canada collected since 2016. Family History, Historical Consciousness and Citizenship reveals that family historians collect and analyse varied historical sources, including oral testimony, archival documents, pictures and objects of material culture. This book reveals how people are thinking historically outside academia, what historical skills they are using to produce historical knowledge, what knowledge is being produced and what impact that can have on them, their communities and scholars. The result is a necessary revival of the current perceptions of family history"--
Genealogy. --- Australia --- Great Britain --- Canada --- Genealogy --- Ancestry --- Descent --- Family history (Genealogy) --- Family trees --- Genealogical research --- Pedigrees --- Auxiliary sciences of history --- History --- Biography --- Heraldry --- Precedence --- Methodology --- Research
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This book examines those cases where a person is promised a future inheritance and, having acted on it, later discovers that the promise is unfulfilled. It structures its analysis around the stories of disappointed promisees and their unfulfilled expectations of a future inheritance, and how they might seek redress. It maps and compares the various, and often very diverse range of, legal responses that a promisee can utilize across different legal areas of the law (ranging from contract law to property law, employment law, enrichment law, and succession law) and in both common and civil law traditions. It asks how these responses protect the interests of promisees and whether they are sensitive to the context in which such promises are expressed. In doing so, the focus rests on the level of protection the various forms of redress grant, their scope, and the challenges promisees face when bringing a claim, but also on the values and interests that are at stake when granting relief. The book argues that due to the social and legal context within which promises of a future inheritance are normally made, promisees are often in a vulnerable position that can easily by exploited. It further argues that the law is usually more acutely attuned to the risks that the promisor incurs and that greater attention should be paid to the vulnerability of promisees.
promises, inheritance --- reliance, enrichment --- Inheritance and succession. --- Bequests --- Descent and distribution --- Descents --- Hereditary succession --- Inheritance and succession --- Intestacy --- Intestate succession --- Law of succession --- Succession, Intestate --- Real property --- Universal succession --- Trusts and trustees --- Law and legislation
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American literature --- Authorship. --- Racially mixed people --- Ethnic groups --- Multiculturalism in literature. --- Multiculturalism --- Creation (Literary, artistic, etc.) --- Creative ability in art --- Creative ability in literature --- Art --- Imagination --- Inspiration --- Literature --- Creative ability --- Originality --- Ethnic identities --- Ethnic nations (Ethnic groups) --- Groups, Ethnic --- Kindred groups (Ethnic groups) --- Nationalities (Ethnic groups) --- Peoples (Ethnic groups) --- Ethnology --- Bi-racial people --- Biracial people --- Interracial people --- Mixed race people --- Mixed-racial people --- Mulattoes --- Multiracial people --- Peoples of mixed descent --- Miscegenation --- Authoring (Authorship) --- Writing (Authorship) --- Ethnic literature (American) --- Minority literature (American) --- Minority authors.
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The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering.
Research & information: general --- Mathematics & science --- category theory --- mathematical modelling --- abstraction --- formal approaches --- functors --- surrogate model --- Kriging --- high-dimensional problems --- principal component dimension reduction --- trochoidal milling --- variable feed --- spiral groove --- CAM --- Levy walks --- anomalous diffusion --- fractional material derivative --- combustion process --- local estimate --- Monte Carlo method --- modeling --- analog circuits --- fault diagnosis --- neural networks --- carbon nanotubes --- heat transfer --- nanofluid --- rotating --- stretching/shrinking --- adjoint --- gradient-descent --- junctions --- transport equation --- unsteady flow --- rotation --- hybrid nanofluid --- stretching sheet --- radiation --- inverse modeling --- calcium leaching --- grout curtain --- hydraulic conductivity --- optimization --- fuzzy model --- response surface methodology --- diesel engine performance --- biodiesel --- anomalous diffusion equation --- continuous time random walk --- roughness scaling extraction --- fractal dimension --- accelerated algorithm --- Weierstrass–Mandelbrot function --- milling vibration signal --- spot volatility --- change of frequency --- roughness of volatility --- hurst exponent --- Chinese A-share market --- ferrofluidslip effect --- Stefan blowing --- thermodiffusion --- n/a --- Weierstrass-Mandelbrot function
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This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.
Technology: general issues --- History of engineering & technology --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- n/a
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This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.
flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- n/a
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Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
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Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
Choose an application
Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
Choose an application
This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.
Technology: general issues --- History of engineering & technology --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys
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