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  • Technology Innovation : Models, Dynamics, and Processes
    Technology Innovation : Models, Dynamics, and Processes

    Technology Innovation discusses the fundamental aspects of processes and structures of technology innovation.It offers a new perspective concerning fundamentals aspects not directly involved in the complex relations existing between technology and the socio-economic system. By considering technology and its innovation from a scientific point of view, the book presents a novel definition of technology as a set of physical, chemical and biological phenomena, producing an effect exploitable for human purposes.Expanding on the general model of technology innovation by linking the model of technology, based on a structure of technological operations, with the models of the structures for technology innovation, based on organization of fluxes of knowledge and capitals, the book considers various technological processes and the stages of the innovation process. Explains a novel definition of technology as a set of physical, chemical and biological phenomena producing an effect exploitable for human purposesDiscusses technology innovation as result of structures organizing fluxes of knowledge and capitalsProvides a technology model simulating the functioning of technology with its optimizationPresents a technology innovation model explaining the territorial technology innovation processOffers a perspective on the evolution of technology in the frame of an industrial platform networkThe book is intended for academics, graduate students and technology developers who are involved in operations management and research, innovation and technology development.

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  • Advanced Manufacturing Methods : Smart Processes and Modeling for Optimization
    Advanced Manufacturing Methods : Smart Processes and Modeling for Optimization

    Advanced Manufacturing Methods: Smart Processes and Modeling for Optimization describes developments in advanced manufacturing processes and applications considering typical and advanced materials.It helps readers implement manufacturing 4.0 production techniques and highlights why a consolidated source and robust platform are necessary for implementing machine learning processes in the manufacturing sector. Discusses the industrial impact of manufacturing processProvides novel fundamental manufacturing solutionsPresents the various aspects of applications in advanced materials in correlation of physical properties with macro-, micro- and nanostructuresReviews both classical and artificial manufacturing when applied with typical and novel innovative materialsAimed at those working in manufacturing, mechanical and optimization of manufacturing processes, this work provides readers with a comprehensive view of current development in, and applications of, advanced manufacturing.

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  • Making Interdisciplinary Performance : Processes and Practices in Collaboration
    Making Interdisciplinary Performance : Processes and Practices in Collaboration

    This collection offers an examination of and guide to interdisciplinary collaboration through the working practices of performance makers, exploring its pleasures, problems and pitfalls. The book explores contemporary working practices at the interfaces between performance and other disciplines.Focusing on collaborations between theatre makers and these ‘others’, it investigates the processes and conditions involved in the interdisciplinary.Chapters cover areas such as psychology, the environment, physical cultures, the military, healthcare, festivals and communities, architecture, pedagogy and fine dining. At a time when interdisciplinary practice is actively encouraged in the academy, this book asks what it means in practical terms to engage with artists and scholars outside of our home territories.Where does the interdisciplinary exist and what does it rely on?How do theatre makers approach and sustain these projects?What is the nature of the journey? Offering examples of unusual collaborations and arranged through 3 key areas of performance-making, this book acknowledges the difficulties of such work and that the aims of interdisciplinarity can fail, while examining how new methods and understandings can shift notions of knowledge.

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  • Productivity and Publishing : Writing Processes for New Scholars and Researchers
    Productivity and Publishing : Writing Processes for New Scholars and Researchers

    Productivity and Publishing: Writing Processes for New Scholars & Researchers by Margaret-Mary Sulentic Dowell, Leah Katherine Saal, Cynthia F.DiCarlo, and Tynisha D. Willingham takes the challenges and confusion out of academic writing and journal publishing by empowering readers to find the writing process that works for them.Activities and writing exercises help readers determine their research agendas, set realistic writing goals, and follow time-tested and editor-approved processes for writing and revising journal articles.Topics cover the writing and publishing process from start to finish, addressing common issues for new academics like avoiding the blank page, selecting an appropriate journal, dealing with reviews, and leveraging your research into multiple articles and a comprehensive research agenda.Experts weigh in on crucial topics such as scholarly metrics and exposure and offer a journal editor’s perspective on the writing and publishing process.Build your academic career on a solid foundation with Productivity and Publishing.

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  • What are maturation processes and learning processes?

    Maturation processes refer to the natural biological development and growth that occurs in an individual over time. These processes are largely influenced by genetics and occur without direct instruction or external influence. On the other hand, learning processes involve the acquisition of new knowledge, skills, or behaviors through experiences, instruction, and practice. Learning processes are influenced by environmental factors, social interactions, and cognitive development. Both maturation processes and learning processes play important roles in an individual's overall development and ability to adapt to their environment.

  • What is the difference between LMI processes and LMN processes?

    LMI (Linear Matrix Inequality) processes and LMN (Linear Matrix Norm) processes are both used in control theory to analyze and design control systems. The main difference between the two is that LMI processes focus on finding solutions to a set of linear matrix inequalities, while LMN processes focus on analyzing the norms of linear matrix equations. LMI processes are used to solve optimization problems and design robust control systems, while LMN processes are used to analyze the stability and performance of control systems. In summary, LMI processes are more focused on optimization and design, while LMN processes are more focused on analysis and stability.

  • What is the difference between heat treatment processes and hardening processes?

    Heat treatment processes refer to a range of techniques used to alter the physical and sometimes chemical properties of a material, typically through heating and cooling. This can include processes such as annealing, tempering, and quenching. Hardening processes, on the other hand, specifically refer to the heat treatment technique used to increase the hardness of a material, typically through heating and then rapidly cooling, or quenching, the material. In essence, hardening is a specific type of heat treatment process focused on increasing the hardness of a material, while heat treatment processes encompass a broader range of techniques aimed at altering various properties of a material.

  • What are warehouse processes?

    Warehouse processes refer to the series of activities and operations involved in the management and movement of goods within a warehouse. These processes include receiving, storing, picking, packing, and shipping of products. Additionally, warehouse processes also involve inventory management, order fulfillment, and maintaining the overall organization and efficiency of the warehouse. These processes are crucial for ensuring the smooth and accurate flow of goods in and out of the warehouse, ultimately contributing to the success of the supply chain and customer satisfaction.

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  • Modeling, Simulation, and Optimization of Supercritical and Subcritical Fluid Extraction Processes
    Modeling, Simulation, and Optimization of Supercritical and Subcritical Fluid Extraction Processes

    This book provides a complete guide on tools and techniques for modeling of supercritical and subcritical fluid extraction (SSFE) processes and phenomena.It provides details for SSFE from managing the experiments to modeling and optimization.It includes the fundamentals of SSFE as well as the necessary experimental techniques to validate the models.The optimization section includes the use of process simulators, conventional optimization techniques and state-of-the-art genetic algorithm methods.Numerous practical examples and case studies on the application of the modeling and optimization techniques on the SSFE processes are also provided.Detailed thermodynamic modeling with and without co-solvent and non equilibrium system modeling is another feature of the book.

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  • Stationary Processes and Discrete Parameter Markov Processes
    Stationary Processes and Discrete Parameter Markov Processes

    This textbook explores two distinct stochastic processes that evolve at random: weakly stationary processes and discrete parameter Markov processes.Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic.This inviting approach illuminates the key ideas and computations in the proofs, forming an ideal basis for further study. After recapping the essentials from Fourier analysis, the book begins with an introduction to the spectral representation of a stationary process.Topics in ergodic theory follow, including Birkhoff's Ergodic Theorem and an introduction to dynamical systems.From here, the Markov property is assumed and the theory of discrete parameter Markov processes is explored on a general state space.Chapters cover a variety of topics, including birth-death chains, hitting probabilities and absorption, the representation of Markov processes as iterates of random maps, and large deviation theory for Markov processes.A chapter on geometric rates of convergence to equilibrium includes a splitting condition that captures the recurrence structure of certain iterated maps in a novel way.A selection of special topics concludes the book, including applications of large deviation theory, the FKG inequalities, coupling methods, and the Kalman filter. Featuring many short chapters and a modular design, this textbook offers an in-depth study of stationary and discrete-time Markov processes.Students and instructors alike will appreciate the accessible, example-driven approach and engaging exercises throughout.A single, graduate-level course in probability is assumed.

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  • Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties
    Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties

    Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry.However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations.In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work.Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties.

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  • Diffusion Processes, Jump Processes, and Stochastic Differential Equations
    Diffusion Processes, Jump Processes, and Stochastic Differential Equations

    Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between di?usion stochastic processes, stochastic di?erential equations and the fractional in?nitesimal operators.The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical ?nance.The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to ?nancial problems.Features Quickly and concisely builds from basic probability theory to advanced topics Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equations Useful as supplementary reading across a range of topics.

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  • Which processes are unnecessary?

    Processes that do not add value to the final product or service are considered unnecessary. This could include redundant paperwork, excessive approval steps, or overly complex decision-making processes. Unnecessary processes can slow down operations, increase costs, and create inefficiencies within an organization. Identifying and eliminating these unnecessary processes can help streamline operations and improve overall productivity.

  • What are climatic processes?

    Climatic processes refer to the various natural mechanisms and interactions that influence the Earth's climate system. These processes include factors such as solar radiation, greenhouse gas concentrations, ocean currents, and atmospheric circulation patterns. They play a crucial role in determining the long-term trends and variations in global and regional climates. Understanding climatic processes is essential for predicting future climate changes and their potential impacts on ecosystems, weather patterns, and human societies.

  • What are exponential processes?

    Exponential processes are mathematical functions or growth patterns where the rate of change of a quantity is proportional to its current value. In other words, the quantity increases or decreases at a constant percentage rate over a fixed interval of time. Exponential processes often result in rapid and accelerating growth, as the quantity being measured continually multiplies by a fixed factor. These processes are commonly observed in various natural phenomena, such as population growth, compound interest, and radioactive decay.

  • What are storage processes?

    Storage processes refer to the methods and systems used to store and manage data or materials in a systematic and organized manner. These processes involve storing items in a way that allows for easy retrieval, tracking, and maintenance. Examples of storage processes include inventory management, warehousing, and digital data storage. Effective storage processes are essential for businesses to optimize their operations and ensure efficient use of resources.

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