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Quantitative methods have become essential in economic forecasting, allocation of resources, portfolio analysis, inventory analysis, data-mining, and new and innovative solutions to myriad social and climate challenges. The aim of this text is to provide a basic understanding of these quantitative methods. Using topics such as finite mathematics, mathematics of finance, differential calculus, optimization, and curve fitting, this text provides the tools needed to solve modern business problems. FEATURES:Covers a review of algebra, finite math, mathematics of finance, differential calculus, optimization, and curve fittingFeature numerous, realistic, business applications including cash flow, amortization, interest, loans, annuities, revenue/cost models, break-even, ordering, inventory control, profit/margin models, econometrics, and more Provides extensive in-text examples and end of section exercises with key terms, key concepts, and appendices at the end of each chapter to reinforce materialUses multiple tables, charts and graphs to illustrate topicsIncludes PowerPoint slides for the instructor.
amortization. --- annuities. --- curve fitting. --- data-mining. --- differential calculus. --- econometrics. --- economic forecasting. --- finite mathematics. --- linear equations. --- portfolio analysis. --- quantitative analysis. --- revenue models.
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As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
History of engineering & technology --- CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
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As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
History of engineering & technology --- CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
Choose an application
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
CNC parameters --- machining mode --- high speed --- high accuracy --- high surface quality --- five-axis linear-segment toolpath --- path smoothing --- B-spline curve-fitting --- path synchronization --- feedrate scheduling --- flute-grinding --- evolution algorithms --- wheel location and orientation --- thin-floor machining --- chatter --- magnetorheological damper --- bull-nose end mill --- tool wear monitoring --- milling --- complex part --- deep learning --- autoencoder --- deep multi-layer perceptron --- tool condition monitoring --- tool change policy --- Industry 4.0 --- machine learning --- CNN --- AI --- additive manufacturing --- thin walled machining --- dynamics --- machining cycle optimization --- multivariable tool --- stable peninsula --- homotopy perturbation method --- machining robot --- natural frequency prediction --- model optimization --- dynamic performance --- stability --- machining --- grinding --- n/a
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This book includes papers published in the Special Issue titled “Coastal Dynamic and Evolution”, which aimed to collect multidisciplinary studies that involved the evaluation of coastal evolution at different temporal scales, from hours and days to months and years, as well as historical changes. The volume contains investigations carried out by means of aerial photos and satellite images, as well as results from in situ surveys and observations aimed at assessing morphological changes in shoreline and dune systems as a consequence of chronic flooding and erosion processes or the occurrence of specific weather-related events. Studies on the evaluation of past and future sea-level variations and related impacts have also been included. In order to provide the reader with a wide overview of different coastal settings and methodological approaches, case studies from Russia, Italy, California (USA), Morocco, Spain, Indonesia, Ireland and Colombia have been included in this Special Issue. The content may be of interest to those who perform a wide range of investigations related to coastal analysis and management, especially to researchers and academics who can exploit the provided approaches and methodologies.
Research & information: general --- cultural heritage --- shoreline dynamics --- GIS --- UAV --- Palaeolithic --- Volga --- European Russia --- XBeach --- inundation --- erosion --- BSS --- Sant Esteve 2008 --- coarse sediment --- D50 --- sieving --- sand size --- sand parameters --- coastal dynamics --- aesthetic appeal --- Baltic Sea --- coastal dunes --- Curonian Spit --- Delphi technique --- paired comparison survey --- psychophysical approach --- Jakarta Bay --- sea level rise --- river discharge --- flooding --- tides --- currents --- beach ridges --- mathematical reconstruction --- curve fitting --- Ombrone River Delta --- coastline --- cliff and bluff retreat --- erosion rate --- uncertainty --- sea-level rise --- adaptive management --- Alicante --- beach nourishment --- CIEL*a*b* --- coastal management --- Costa Blanca --- mineralogical characterization --- sediment colour --- tourism --- western Mediterranean --- EOF --- beach profiles --- reef flat --- sand rich --- accretion --- mangrove --- coastal dynamic --- salinization --- Rhizophora mangle --- Avicennia germinans --- Laguncularia racemosa --- wave energy --- Hurricane Katia --- longshore transport --- dissipative --- tsunami propagation --- tsunami flooding --- sicilian coast --- coastal hazard --- dune characterization --- anthropic occupation --- fragmentation index --- dune surface --- coastal landscape evolution --- geomorphological analysis --- palaeo-shore platform --- relative sea-level changes --- sea-level proxy --- vertical ground movements --- campi flegrei volcanic area --- coastal landscapes --- coastal evolution assessment
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The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.
Technology: general issues --- Kalman filter --- motion capture --- gait analysis --- inertial sensor --- rail vehicles --- track irregularities --- multibody dynamics --- inertial sensors --- computer vision --- singular configuration --- parallel robot --- motion control --- 3D tracking --- screw theory --- Kalman filtering --- coupled states-inputs estimation --- virtual sensors --- slider-crank mechanism --- virtual sensoring --- physical sensors --- smart/intelligent sensors --- sensor technology and applications --- sensing principles --- signal processing in sensor systems --- symbolic generation --- real-time computation --- human-in-the-loop --- haptic devices --- parameter estimation --- curve fitting method --- hydraulic system --- predictive maintenance --- characteristic curve --- product life cycle --- digital twin --- adaptive Kalman filter --- nonlinear models --- virtual sensing --- multibody based observers --- vehicle dynamics estimation --- sideslip angle estimation --- factor graph --- graphical models --- movable repetitive lander --- fault-tolerant soft-landing --- landing configuration --- stability optimization --- n/a
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This book includes papers published in the Special Issue titled “Coastal Dynamic and Evolution”, which aimed to collect multidisciplinary studies that involved the evaluation of coastal evolution at different temporal scales, from hours and days to months and years, as well as historical changes. The volume contains investigations carried out by means of aerial photos and satellite images, as well as results from in situ surveys and observations aimed at assessing morphological changes in shoreline and dune systems as a consequence of chronic flooding and erosion processes or the occurrence of specific weather-related events. Studies on the evaluation of past and future sea-level variations and related impacts have also been included. In order to provide the reader with a wide overview of different coastal settings and methodological approaches, case studies from Russia, Italy, California (USA), Morocco, Spain, Indonesia, Ireland and Colombia have been included in this Special Issue. The content may be of interest to those who perform a wide range of investigations related to coastal analysis and management, especially to researchers and academics who can exploit the provided approaches and methodologies.
Research & information: general --- cultural heritage --- shoreline dynamics --- GIS --- UAV --- Palaeolithic --- Volga --- European Russia --- XBeach --- inundation --- erosion --- BSS --- Sant Esteve 2008 --- coarse sediment --- D50 --- sieving --- sand size --- sand parameters --- coastal dynamics --- aesthetic appeal --- Baltic Sea --- coastal dunes --- Curonian Spit --- Delphi technique --- paired comparison survey --- psychophysical approach --- Jakarta Bay --- sea level rise --- river discharge --- flooding --- tides --- currents --- beach ridges --- mathematical reconstruction --- curve fitting --- Ombrone River Delta --- coastline --- cliff and bluff retreat --- erosion rate --- uncertainty --- sea-level rise --- adaptive management --- Alicante --- beach nourishment --- CIEL*a*b* --- coastal management --- Costa Blanca --- mineralogical characterization --- sediment colour --- tourism --- western Mediterranean --- EOF --- beach profiles --- reef flat --- sand rich --- accretion --- mangrove --- coastal dynamic --- salinization --- Rhizophora mangle --- Avicennia germinans --- Laguncularia racemosa --- wave energy --- Hurricane Katia --- longshore transport --- dissipative --- tsunami propagation --- tsunami flooding --- sicilian coast --- coastal hazard --- dune characterization --- anthropic occupation --- fragmentation index --- dune surface --- coastal landscape evolution --- geomorphological analysis --- palaeo-shore platform --- relative sea-level changes --- sea-level proxy --- vertical ground movements --- campi flegrei volcanic area --- coastal landscapes --- coastal evolution assessment
Choose an application
The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.
Technology: general issues --- Kalman filter --- motion capture --- gait analysis --- inertial sensor --- rail vehicles --- track irregularities --- multibody dynamics --- inertial sensors --- computer vision --- singular configuration --- parallel robot --- motion control --- 3D tracking --- screw theory --- Kalman filtering --- coupled states-inputs estimation --- virtual sensors --- slider-crank mechanism --- virtual sensoring --- physical sensors --- smart/intelligent sensors --- sensor technology and applications --- sensing principles --- signal processing in sensor systems --- symbolic generation --- real-time computation --- human-in-the-loop --- haptic devices --- parameter estimation --- curve fitting method --- hydraulic system --- predictive maintenance --- characteristic curve --- product life cycle --- digital twin --- adaptive Kalman filter --- nonlinear models --- virtual sensing --- multibody based observers --- vehicle dynamics estimation --- sideslip angle estimation --- factor graph --- graphical models --- movable repetitive lander --- fault-tolerant soft-landing --- landing configuration --- stability optimization --- n/a
Choose an application
This book includes papers published in the Special Issue titled “Coastal Dynamic and Evolution”, which aimed to collect multidisciplinary studies that involved the evaluation of coastal evolution at different temporal scales, from hours and days to months and years, as well as historical changes. The volume contains investigations carried out by means of aerial photos and satellite images, as well as results from in situ surveys and observations aimed at assessing morphological changes in shoreline and dune systems as a consequence of chronic flooding and erosion processes or the occurrence of specific weather-related events. Studies on the evaluation of past and future sea-level variations and related impacts have also been included. In order to provide the reader with a wide overview of different coastal settings and methodological approaches, case studies from Russia, Italy, California (USA), Morocco, Spain, Indonesia, Ireland and Colombia have been included in this Special Issue. The content may be of interest to those who perform a wide range of investigations related to coastal analysis and management, especially to researchers and academics who can exploit the provided approaches and methodologies.
cultural heritage --- shoreline dynamics --- GIS --- UAV --- Palaeolithic --- Volga --- European Russia --- XBeach --- inundation --- erosion --- BSS --- Sant Esteve 2008 --- coarse sediment --- D50 --- sieving --- sand size --- sand parameters --- coastal dynamics --- aesthetic appeal --- Baltic Sea --- coastal dunes --- Curonian Spit --- Delphi technique --- paired comparison survey --- psychophysical approach --- Jakarta Bay --- sea level rise --- river discharge --- flooding --- tides --- currents --- beach ridges --- mathematical reconstruction --- curve fitting --- Ombrone River Delta --- coastline --- cliff and bluff retreat --- erosion rate --- uncertainty --- sea-level rise --- adaptive management --- Alicante --- beach nourishment --- CIEL*a*b* --- coastal management --- Costa Blanca --- mineralogical characterization --- sediment colour --- tourism --- western Mediterranean --- EOF --- beach profiles --- reef flat --- sand rich --- accretion --- mangrove --- coastal dynamic --- salinization --- Rhizophora mangle --- Avicennia germinans --- Laguncularia racemosa --- wave energy --- Hurricane Katia --- longshore transport --- dissipative --- tsunami propagation --- tsunami flooding --- sicilian coast --- coastal hazard --- dune characterization --- anthropic occupation --- fragmentation index --- dune surface --- coastal landscape evolution --- geomorphological analysis --- palaeo-shore platform --- relative sea-level changes --- sea-level proxy --- vertical ground movements --- campi flegrei volcanic area --- coastal landscapes --- coastal evolution assessment
Choose an application
The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.
Kalman filter --- motion capture --- gait analysis --- inertial sensor --- rail vehicles --- track irregularities --- multibody dynamics --- inertial sensors --- computer vision --- singular configuration --- parallel robot --- motion control --- 3D tracking --- screw theory --- Kalman filtering --- coupled states-inputs estimation --- virtual sensors --- slider-crank mechanism --- virtual sensoring --- physical sensors --- smart/intelligent sensors --- sensor technology and applications --- sensing principles --- signal processing in sensor systems --- symbolic generation --- real-time computation --- human-in-the-loop --- haptic devices --- parameter estimation --- curve fitting method --- hydraulic system --- predictive maintenance --- characteristic curve --- product life cycle --- digital twin --- adaptive Kalman filter --- nonlinear models --- virtual sensing --- multibody based observers --- vehicle dynamics estimation --- sideslip angle estimation --- factor graph --- graphical models --- movable repetitive lander --- fault-tolerant soft-landing --- landing configuration --- stability optimization --- n/a
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