Готові списки джерел за темами / Mixed process

Добірка наукової літератури з теми "Mixed process"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Mixed process"

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Kataria, K. K., and M. Khandakar. "Mixed fractional risk process." Journal of Mathematical Analysis and Applications 504, no. 1 (December 2021): 125379. http://dx.doi.org/10.1016/j.jmaa.2021.125379.

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Watari, Koji, Masaki Yasuoka, Maria Cecilia Valecillos, and Shuzo Kanzaki. "Reaction process and densification process of mixed ceramics." Journal of the European Ceramic Society 15, no. 2 (January 1995): 173–84. http://dx.doi.org/10.1016/0955-2219(95)93063-9.

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Mark Peplow, special to C&EN. "2-step process recycles mixed plastics." C&EN Global Enterprise 100, no. 37 (October 17, 2022): 7. http://dx.doi.org/10.1021/cen-10037-leadcon.

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Saunders, MP, PE Holmes, and BA Boxall. "A mixed technology high voltage process." Physica B+C 129, no. 1-3 (March 1985): 260–64. http://dx.doi.org/10.1016/0378-4363(85)90581-9.

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Mukhopadhyay, Saurabh, and Alan E. Gelfand. "Dirichlet Process Mixed Generalized Linear Models." Journal of the American Statistical Association 92, no. 438 (June 1997): 633–39. http://dx.doi.org/10.1080/01621459.1997.10474014.

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Kravarikova, Helena. "Experiment Solution Velocity and Pressure Field in the Mixing Process Computer Simulation." Applied Mechanics and Materials 693 (December 2014): 68–73. http://dx.doi.org/10.4028/www.scientific.net/amm.693.68.

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The process of mixing materials is a very complex process. The mixing process is used for homogenisation of substances. Rather than propose a real mixer, you must first construct a mixer for operational purposes experimental solutions. Experimental solutions are most often realized in laboratory conditions. Experimental mixers are made according to the requirements of power mixers, fluid flow, density and viscosity of the mixed fluid. To investigate the mixing process in the Laboratory mixers are made on the basis of the criteria of non-dimensional simplex. For designing operating mixers can also use analytical solutions of technical equipment and the mixing process. It is now possible to implement solutions using FEM numerical simulation of this phenomenon.The homogeneity of the mixed substances, mixer performs rotational movement about the axis of rotation. In most cases, the rotational movement of the stirrer describes the geometrical shape of the mixer. Usually rotation axis Mixer is the axis of symmetry. The shape and dimensions of the stirrer depends on the desired performance of mixer, the type of flow, the type and quantity of mixed materials.
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Najafi, Ali Reza, and Farshid Mehrdoust. "Bond pricing under mixed generalized CIR model with mixed Wishart volatility process." Journal of Computational and Applied Mathematics 319 (August 2017): 108–16. http://dx.doi.org/10.1016/j.cam.2016.12.039.

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Krishnan, Bindu, and Dais George. "A Mixed Asymmetric Laplace Moving Average Process." Global Journal of Pure and Applied Mathematics 13, no. 09 (September 30, 2017): 6919. http://dx.doi.org/10.37622/gjpam/13.9.2017.6919-6928.

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Görnerup, M., and P. Sjöberg. "AODCLU process modelling: optimum mixed reductants addition." Ironmaking & Steelmaking 26, no. 1 (January 1, 1999): 58–63. http://dx.doi.org/10.1179/030192399676951.

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Kyung, Minjung. "Dirichlet Process Mixtures of Linear Mixed Regressions." Communications for Statistical Applications and Methods 22, no. 6 (November 30, 2015): 625–37. http://dx.doi.org/10.5351/csam.2015.22.6.625.

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Дисертації з теми "Mixed process"

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Moreno, Benito Marta. "Integrated batch process development based on mixed-logic dynamic optimization." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/145068.

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Specialty chemicals industry relies on batch manufacturing, since it requires the frequent adaptation of production systems to market fluctuations. To be first in the market, batch industry requires decision-support systems for the rapid development and implementation of chemical processes. Moreover, the processes should be competitive to ensure their long-term viability. General-purpose and flexible plants and the consideration of physicochemical insights to define an efficient operation are also cornerstones for the success of specialty chemical industries. Precisely, this thesis tackles the systematic development of batch processes that are efficient, economically competitive, and environmentally friendly, to assist their agile introduction into production systems in grassroots and retrofit scenarios. Synthesis of conceptual processing schemes and plant allocation subproblems are solved simultaneously, taking into account the plant design. With this purpose, an optimization-based approach is proposed, where all structural alternatives are represented in a State-Equipment Network (SEN) superstructure, following formulated into a Mixed-Logic Dynamic Optimization (MLDO) problem which is later solved to minimize an objective function. Essentially, the strength of the proposed methodology lies in the modeling strategy which combines the different kinds of decisions of the integrated problem in a unique optimization model. Accordingly, it considers: (i) synthesis and allocation alternatives combination, (ii) dynamic process performance models and dynamic control variable profiles, (iii) discrete events associated to transitions of batch phases and operations, (iv) quantitative and qualitative information, (v) material transference synchronization to ensure batch integrity between unit procedures, and (vi) batch and semicontinuous processing elements. Different strategies can be used to solve the resulting MLDO problem. A deterministic direct-simultaneous approach is first proposed. The mixed-logic problem is reformulated into a mixed-integer one, which is fully-discretized to provide a Mixed-Integer Non-Linear Programming (MINLP) that is optimized using conventional solvers. Then, a Differential Genetic Algorithm (DGA) and a hybrid approach are presented. The purpose of these evolutionary strategies is to pose solution alternatives that keep solution goodness while seek for the improvement of computational efficiency to handle industrial-size problems. The optimization-based approach is applied in retrofit scenarios to solve the simultaneous process synthesis and plant allocation, taking into account the physical restrictions of existing plant elements. The production of specialty chemicals based on a competitive reactions system in an existing reactor network is first defined through process development and improvement according to different economic scenarios, decision criteria, and plant modifications. Additionally, a photo-Fenton process is optimized to eliminate an emergent wastewater pollutant in a given pilot plant, pursuing the minimization of processing time and cost. Batch process development in grassroots scenarios is also proven to be a problem of utmost importance to deal with uncertainty in future markets. Seeking for plant flexibility in several demand scenarios, the expected profit is maximized through a two-stage stochastic formulation that includes simultaneous plant design, process synthesis, and plant allocation decisions. A heuristic solution algorithm is used to handle the problem complexity. A grassroots plant design is defined to implement the previous competitive reaction system, where decisions like the feed-forward trajectories or operating modes allow the adaptation of master recipes to different demands. Finally, an acrylic fiber production example is presented to illustrate process development decisions like the selection of tasks, technological alternatives, chemicals, and solvent reuse.
La indústria de productes químics especials es basa en la fabricació discontinua, ja que permet adaptar de forma freqüent els sistemes de producció en funció de les fluctuacions de mercat. Per ser líder al sector, són necessàries eines de suport a la decisió que ajudin a l’àgil desenvolupament i implementació de nous processos. A més, aquests han de ser competitius per garantir la seva viabilitat a llarg termini. Altres peces clau per una operació eficient són l’ús de plantes flexibles així com l’estudi dels fenòmens fisicoquímics. Aquesta tesis aborda justament el desenvolupament sistemàtic de processos químics discontinus que siguin eficients, econòmicament competitius i ecològics, per contribuir a la seva ràpida introducció en els sistemes de producció, tant en escenaris de plantes existents com des de les bases. En concret, es planteja la resolució simultània de la síntesi conceptual d’esquemes de procés i l’assignació d’equips, tenint en compte el disseny de la planta. Amb aquest objectiu, es proposa una metodologia de solució basada en optimització, on les alternatives estructurals es representen en una Xarxa d’Estats i Equips (SEN per les sigles en anglès) que es formula mitjançant un problema d’Optimització Dinàmica Mixta-Lògica (MLDO per les sigles en anglès) que es resol minimitzant una funció objectiu. La solidesa de la metodologia proposada rau en la estratègia de modelat del problema MLDO, que integra els diferents tipus de decisions en un sol model d’optimització. En concret, es consideren: (i) la combinació d’alternatives de síntesi i assignació d’equips, (ii) models de procés i trajectòries de control dinàmics, (iii) esdeveniments discrets associats al canvi de fase i operació, (iv) informació quantitativa i qualitativa, (v) sincronització de transferències de material en tasques consecutives, i (vi) elements de processat discontinus i semi-continus. Existeixen diverses estratègies per resoldre el problema MLDO resultant. En aquesta tesi es proposa en primer lloc un mètode determinístic directe-simultani, on el model mixt-lògic es transforma en un mixt-enter. Aquest es discretitza al seu torn de forma completa per obtenir un problema de Programació No-Lineal Mixta-Entera (MINLP per les sigles en anglès) el qual es pot resoldre utilitzant algoritmes d’optimització convencionals. A més, es presenten un Algoritme Genètic Diferencial (DGA per les sigles en anglès) i un mètode híbrid. Totes dues estratègies esdevenen alternatives de cerca amb l’objectiu de mantenir la bondat de la solució i millorar l’eficàcia de computació per tractar problemes de dimensió industrial. La metodologia de solució proposada s’aplica al desenvolupament de processos discontinus en escenaris de plantes existents, tenint en compte les restriccions físiques dels equips. Un primer exemple aborda la manufactura de productes químics basada en un sistema de reaccions competitives. Concretament, es desenvolupa i millora el procés de producció implementat en una xarxa de reactors considerant diferents escenaris econòmics, criteris de decisió, i modificacions de planta. En un segon exemple, s’optimitza el procés foto-Fenton per ser executat en una planta pilot per eliminar contaminants emergents. Buscant integrar el desenvolupament de procés i el disseny de plantes flexibles en escenaris de base, es presenta una formulació estocàstica en dues etapes per a optimitzar el benefici esperat d’acord a diversos escenaris de demanda. Per gestionar la complexitat d’aquest problema es proposa la utilització d’una heurística. Com a exemple, es planteja el disseny d’una planta de base on implementar l’anterior sistema de reaccions competitives. Decisions com les trajectòries dinàmiques de control o la configuració d’equips permeten adaptar la recepta màster en funció de la demanda. Un darrer exemple defineix el procés de producció de fibra acrílica, il·lustrant decisions com la selecció de tasques, tecnologia, reactius o reutilització de dissolvents.
La industria productos químicos especiales se basa en la fabricación discontinua, la cual permite la adaptación frecuente de los sistemas de producción en función de las fluctuaciones de mercado. Para ser líder en el sector, son necesarias herramientas de soporte a la decisión que contribuyan al ágil desarrollo e implementación de nuevos procesos. Además, éstos deben ser competitivos para garantizar su viabilidad a largo plazo. Otras piezas clave para una operación eficiente son la utilización de plantas flexibles y el estudio de los fenómenos fisicoquímicos. Esta tesis aborda justamente el desarrollo sistemático de procesos químicos discontinuos que sean eficientes, económicamente competitivos y ecológicos, para contribuir a su rápida introducción en los sistemas de producción, ya sea en escenarios de plantas existentes o desde las bases. En particular, se plantea la resoluciónsimultánea de la síntesis conceptual de esquemas de proceso y la asignación de equipos, teniendo en cuenta además el diseño de planta.Con este fin, se propone una metodología de solución basada en optimización, donde todas las alternativas estructurales se representan en una Red de Estados y Equipos (SENpor sus siglas en inglés) que se formula mediante un problema de Optimización Dinámica Mixta-Lógica (MLDO por sus siglas en inglés) que se resuelve minimizando una función objetivo. La solidez de la metodología propuesta reside en la estrategia de modelado delproblema MLDO, que integra los diferentes tipos de decisiones en un solo modelo de optimización. En concreto, se consideran: (i) la combinación de alternativas de síntesis y asignación de equipos, (ii) modelos de proceso y trayectorias de control dinámicos, (iii)eventos discretos asociados al cambio de fase y operación, (iv) información cuantitativa y cualitativa, (v) sincronización de la transferencia de material en tareas consecutivas, y(vi) elementos de procesado discontinuos y semicontinuos.Existen diversas estrategias para resolver el problema MLDO resultante. En esta tesis se propone en primer lugar un método determinístico directo-simultáneo, donde el problema mixto-lógico se reformula en un mixto-entero. A su vez, éste se discretiza de formacompleta para obtener un problema de Programación No-Lineal Mixta-Entera (MINLP por sus siglas en inglés) el cual se puede resolver mediante algoritmos de optimización convencionales. Además, se presentan un Algoritmo Genético Diferencial (DGA por sussiglas en inglés) y un método híbrido. Ambas estrategias se plantean como alternativas de búsqueda con objeto de mantener la bondad de la solución y mejorar la eficacia de computación para tratar problemas de dimensión industrial.La metodología de solución propuesta se aplica al desarrollo de procesos discontinuos en escenarios con plantas existentes, teniendo en cuenta las restricciones físicas de los equipos. Un primer ejemplo aborda la fabricación de productos químicos basada en un sistema de reacciones competitivas. En concreto, se desarrolla y mejora el proceso de producción a implementar en una red de reactores considerando diferentes escenarios económicos, criterios de decisión, y modificaciones de planta. En un segundo ejemplo,se optimiza el proceso foto-Fenton a ser ejecutado en una planta piloto para eliminar contaminantes emergentes.Persiguiendo la integración del desarrollo de proceso con el diseño de plantas flexi-bles en escenarios base, se presenta asimismo una formulación estocástica en dos etapas para optimizar el beneficio esperado de acuerdo a varios escenarios de demanda. Paramanejar la complejidad de dicho problema se propone la utilización de una heurística.Como ejemplo, se plantea el diseño de una planta de base para implementar el anterior sistema de reacciones competitivas, donde decisiones como las trayectorias dinámicas de control o la configuración de equipos permiten adaptar la receta máster en función de lademandas. Por último, se presenta un ejemplo donde se define el proceso de producción de fibra acrílica, ilustrando decisiones como la selección de tareas, alternativas tecnológicas, reactivos químicos o la reutilización de disolventes.
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Mohammadat, Tage. "Dynamic Process Relocation in Multiprocessor Systems : Mixed-Criticality Aware Implementation." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210706.

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Анотація:
Enabling deterministic dynamic process relocation in electronic systems creates opportunities for dynamic computational load balancing, fault tolerance, power consumption management, which can be positively correlated with improvements in longevity, safety and energy-efficiency. Additionally, dynamic process relocation can be leveraged to enhance the adaptability of mixed-critical systems operating in open and changeable environments, which is a current market driver for safety-concerned industries like avionics, automotive and railways. Future electronic systems in such industries are envisioned to comprise networked heterogeneous multiprocessor chips that execute applications with different criticality levels. With such setting, it is not clear from the literature how dynamic process relocation (DPR) can be implemented in a way that does not compromise predictability concerns of safety-critical functionalities in such mixed-critical system. In this work, a design and implementation framework is demonstrated that takes a list of inputs that satisfy DPR design constraints and exploits DPR design primitives, protocol and design flow to produce the required implementation. The design inputs include application communication graph, application to platform mapping, process criticality levels and DPR scenarios. The implementation is demonstrated on a system of two printed circuit boards, each containing monolithic heterogeneous dual-core ARM cortex A9 processor networked with Microblaze soft-processors via a mesh-topology time-triggered Nostrum network-on-chip (NoC). The work shows promising predictable adaptability suitable for mixed-critical systems and could lead to improved service efficiency and availability.
Deterministisk dynamisk processflyttning (eng. Dynamic Process RelocationDPR) i elektroniska system skapar möjligheter för dynamisk beräkning av belastningsbalans, feltolerans, och strömförbrukningshantering, vilket kan ha en positiv korreleration med förbättringar i livslängd, säkerhet och energieffektivitet. Dessutom kan dynamisk processflyttning utnyttjas föratt förbättra anpassningsförmågan av mixed-critical system i öppna ochföränderliga miljöer, vilket är en nuvarande marknadskrav inom säkerhetsrelaterade teknikområden såsom flygelektronik, fordonsindustrin och järnvägar. Framtida elektroniska system i sådana industrier förväntas bestå av nätverk av heterogena multiprocessorchips som kör program med olika säkerhetskritiska nivåer. Det framgår det inte av litteraturen hur dynamisk processflyttning (DPR) i ett sådant scenario kan genomföras på ett säkert sätt och inte samtidigt inte äventyrar förutsägbarheten av säkerhetskritiska funktionaliteter. Denna rapport demonstrerar upp ett fungerande designflöde, vilket utgår från en lista av input som uppfyller DPR-design begränsningar och utnyttjar DPR design primitiv, protokoll och designflöde för implementeringen. Dessa design inputs inkluderar applikations och kommunikationsgrafer, applikation till plattformsmappning, processkritiska nivåer och DPRscenarier. Implementeringen demonstreras på ett system bestående av två kretskort /PCB:er, som vardera innehåller en FPGA med en heterogen design bestående av en ARM-cortex dual-core A9-processor, vilken är ansluten till 3 st mjuka processorer av Microblaze typ, via ett tids-triggad Network-on-chip (NoC) av Nostrum Mesh topologi typ. Arbetet visar lovande förutsägbarhet för DPR av mixed-kritiska system, vilket kan leda till förbättrad effektivitet och ökad tillgänglighet av service.
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3

Zocher, Mathias. "Multivariate Mixed Poisson Processes." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2005. http://nbn-resolving.de/urn:nbn:de:swb:14-1134744627176-09576.

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Multivariate mixed Poisson processes are special multivariate counting processes whose coordinates are, in general, dependent. The first part of this thesis is devoted to properties which multivariate counting processes may possess. Such properties are, for example, the Markov property, the multinomial property and regularity. With regard to regularity we study the properties of transition probabilities and intensities. The second part of this thesis restricts the class of all multivariate counting processes by additional assumptions leading to different types of multivariate mixed Poisson processes which, however, are connected with each other. Using a multivariate version of the Bernstein-Widder theorem, it is shown that multivariate mixed Poisson processes are characterized by the multinomial property. Furthermore, regularity of multivariate mixed Poisson processes and properties of their moments are studied in detail. Throughout this thesis, two types of stability of properties of multivariate counting processes are studied: It is shown that most properties of a multivariate counting process are stable under certain linear transformations including the selection of single coordinates and summation of all coordinates. It is also shown that the different types of multivariate mixed Poisson processes under consideration are in a certain sense stable in time.
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Schilling, Gordian Hansjoerg. "Algorithms for short-term and periodic process scheduling and rescheduling." Thesis, Imperial College London, 1998. http://hdl.handle.net/10044/1/7696.

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Nazarian, Djahangir. "Substrate and temperature influences on the completely mixed aerated lagoon process." Thesis, Loughborough University, 1985. https://dspace.lboro.ac.uk/2134/31963.

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This research has primarily been concerned with the study of the kinetics, design and operation of completely mixed aerated lagoons. Throughout the experimental research laboratory-size completely mixed aerated lagoons, composite synthetic substrate and mixed biological culture were used.
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Aina, Victor O. "Valuation of default-risky securities under a mixed diffusion-jump process." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0026/NQ51833.pdf.

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7

Povazanec, Juraj. "Test process evaluation techniques for analogue and mixed signal integrated circuits." Thesis, Leeds Beckett University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309793.

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Ziegler, Jochen. "refin [d]ing process." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/35586.

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This thesis marks a point where the priorities determining my occupation with architecture might shift. In part it is a reflection of an approach to architecture, which generates an awareness that can be extended to an environment of practice. This awareness should provide direction towards the making of architecture, regardless to the number of constraints or limitations which reality might impose. This project is the documenting vehicle for the examination of a design process. The proposal is the evidence of this design process. Its documentation should prove and expose qualities which derived from my approach to architecture.
Master of Architecture
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9

Jensen, Willis Aaron. "Profile Monitoring for Mixed Model Data." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/27054.

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The initial portion of this research focuses on appropriate parameter estimators within a general context of multivariate quality control. The goal of Phase I analysis of multivariate quality control data is to identify multivariate outliers and step changes so that the estimated control limits are sufficiently accurate for Phase II monitoring. High breakdown estimation methods based on the minimum volume ellipsoid (MVE) or the minimum covariance determinant (MCD) are well suited to detecting multivariate outliers in data. Because of the inherent difficulties in computation many algorithms have been proposed to obtain them. We consider the subsampling algorithm to obtain the MVE estimators and the FAST-MCD algorithm to obtain the MCD estimators. Previous studies have not clearly determined which of these two estimation methods is best for control chart applications. The comprehensive simulation study here gives guidance for when to use which estimator. Control limits are provided. High breakdown estimation methods such as MCD and MVE can be applied to a wide variety of multivariate quality control data. The final, lengthier portion of this research considers profile monitoring. Profile monitoring is a relatively new technique in quality control used when the product or process quality is best represented by a profile (or a curve) at each time period. The essential idea is often to model the profile via some parametric method and then monitor the estimated parameters over time to determine if there have been changes in the profiles. Because the estimated parameters may be correlated, it is convenient to monitor them using a multivariate control method such as the T-squared statistic. Previous modeling methods have not incorporated the correlation structure within the profiles. We propose the use of mixed models (both linear and nonlinear) to monitor linear and nonlinear profiles in order to account for the correlation structure within a profile. We consider various data scenarios and show using simulation when the mixed model approach is preferable to an approach that ignores the correlation structure. Our focus is on Phase I control chart applications.
Ph. D.
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10

Bernhard, Eike Christian. "A theory of process modelling affordances." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/91217/1/Eike%20Christian_Bernhard_Thesis.pdf.

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This thesis studies how conceptual process models - that is, graphical documentations of an organisation's business processes - can enable and constrain the actions of their users. The results from case study and experiment indicate that model design decisions and people's characteristics influence how these opportunities for action are perceived and acted upon in practice.
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Книги з теми "Mixed process"

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Chŏng, Hyŏng-gon. What can North Korea learn from transition economies' reform process? Seoul, Korea: Korea Institute for International Economic Policy, 2009.

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2

Buchanan, David A. Mixed results, lousy process: Contrasts and contradictions in the management experience of change. Leicester: Leicester Business School, 1999.

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3

Greg, Jones J., and Intermountain Research Station (Ogden, Utah), eds. A Heuristic process for solving mixed-integer land management and transportation planning models. [Ogden, Utah]: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1991.

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4

Maeglin, Robert R. Evaluation of mixed hardwood studs manufactured by the Saw-Dry-Rip (SDR) process. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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5

Maeglin, Robert R. Evaluation of mixed hardwood studs manufactured by the Saw-Dry-Rip (SDR) process. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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6

Maeglin, Robert R. Evaluation of mixed hardwood studs manufactured by the Saw-Dry-Rip (SDR) process. [Madison, WI]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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7

Spencer, Donovan W. A study of planned organisational change through the process of restructuring at a mixed secondary comprehensive school. [Guildford]: [University of Surrey], 1998.

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8

Morris, D. S. The role of the Hallett-Mossop process on the mixed phase of layer clouds in general circulation models. Manchester: UMIST, 1996.

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9

Jerzy, Hausner, Jessop Bob, and Nielsen Klaus 1948-, eds. Strategic choice and path-dependency in post-socialism: Institutional dynamics in the transformation process. Aldershot, UK: E. Elgar, 1995.

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10

Council, InterAction. Economies in transformation: Limitation and potential of the transition process : proceedings and documents of a High-level Expert Group convened by the InterAction Council, 6-7 April 1991, London, United Kingdom. New York: InterAction Council, 1991.

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Частини книг з теми "Mixed process"

1

Grandell, Jan. "The mixed Poisson process." In Mixed Poisson Processes, 59–82. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3117-7_4.

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2

Kaminsky, W. "Pyrolysis of Mixed Plastics." In Precision Process Technology, 65–74. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1759-3_6.

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3

Dua, Pinky, and Michael C. Georgiadis. "Multiparametric Mixed-Integer Linear Programming." In Process Systems Engineering, 53–71. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527631209.ch3.

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4

Sato, Kosuke, Yoshihiro Ban, and Kunihiro Chihara. "MR Aided Engineering: Inspection Support Systems Integrating Virtual Instruments and Process Control." In Mixed Reality, 347–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-87512-0_19.

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5

Narciso, Diogo A. C., Vivek Dua, and Efstratios N. Pistikopoulos. "Multiparametric Mixed-Integer Quadratic and Nonlinear Programming." In Process Systems Engineering, 73–97. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527631209.ch4.

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6

Schmidt, Klaus D. "The Mixed Claim Number Process." In Teubner Skripten zur Mathematischen Stochastik, 85–102. Wiesbaden: Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-90570-3_5.

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7

Cha, Ji Hwan, and Maxim Finkelstein. "Applications of the Mixed Poisson Process." In Springer Series in Reliability Engineering, 351–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73540-5_11.

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8

Creamer, Elizabeth G. "Mixed methods and the process of theorizing." In Advancing Grounded Theory with Mixed Methods, 46–71. London: Routledge, 2021. http://dx.doi.org/10.4324/9780429057007-3.

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9

Gagnon, Pete. "PURIFICATION OF MONOCLONAL ANTIBODIES BY MIXED-MODE CHROMATOGRAPHY." In Process Scale Purification of Antibodies, 181–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119126942.ch8.

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10

Sacco, Riccardo. "Numerical Simulation of Thermal Oxidation Process in Semiconductor Devices Using Mixed—Hybrid Finite Elements." In Mixed Finite Element Technologies, 107–30. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-99094-0_4.

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Тези доповідей конференцій з теми "Mixed process"

1

Barker, Timothy. "Process and (mixed) reality: A process philosophy for interaction in mixed reality environments." In 2009 IEEE International Symposium on Mixed and Augmented Reality 2009 - Arts, Media and Humanities. IEEE, 2009. http://dx.doi.org/10.1109/ismar-amh.2009.5336731.

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2

Xianqiu, Zhang, Du Mingxia, Yangliu, Zhang Yong, and Jia Guozheng. "Recovery Process of Mixed Electroplating Wastewater." In 2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM). IEEE, 2011. http://dx.doi.org/10.1109/cdciem.2011.211.

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3

De Koninck, Pieter, and Jochen De Weerdt. "Scalable Mixed-Paradigm Trace Clustering using Super-Instances." In 2019 International Conference on Process Mining (ICPM). IEEE, 2019. http://dx.doi.org/10.1109/icpm.2019.00014.

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4

Liu, Jin, Imelda Donnelly, Jianglin Wang, and Pam Jones-Williams. "Yield Methodology for Mixed Signal Process Development." In 2006 International Symposium on Semiconductor Manufacturing (ISSM). IEEE, 2006. http://dx.doi.org/10.1109/issm.2006.4493096.

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5

Scott, George, Gary Covatch, and Art Carrasco. "Real-Time Downhole-Mixed Stimulation Fracturing Process." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/77676-ms.

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6

Mojahed, Majid, Mohammad Ebrahim Marjani, Alireza Afshari, and Soheil Marjani. "Using Electre-AHP as a Mixed Method for Personnel Selection." In The International Symposium on the Analytic Hierarchy Process. RSW publications, 2013. http://dx.doi.org/10.13033/isahp.y2013.090.

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7

Satoh, S., and N. Nakayama. "Parallel Computing Using A Mixed-level Device-circuit Simulator." In 1993 International Workshop on VLSI Process and Device Modeling. IEEE, 1993. http://dx.doi.org/10.1109/vpad.1993.724753.

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8

Wu, Chien-Feng, Chcng-Hsicn Chen, Mui-Home Chen, and Cheng-Wenc Chen. "Application of advnced process control on mixed-product chemical mechanical polishing process." In Mechanical Engineering and Information Technology (EMEIT). IEEE, 2011. http://dx.doi.org/10.1109/emeit.2011.6023519.

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9

Moursy, Yasser, Ramy Iskander, and Marie-Minerve Louerat. "Automated triangular wave generator design with process corners compensation." In 2015 20th International Mixed-Signal Testing Workshop (IMSTW). IEEE, 2015. http://dx.doi.org/10.1109/ims3tw.2015.7177883.

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10

Potts, Jeff, and Terrance Sookdeo. "Enhanced Augmented/Mixed Reality and Process Safety Applications." In SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability. Society of Petroleum Engineers, 2020. http://dx.doi.org/10.2118/199492-ms.

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Звіти організацій з теми "Mixed process"

1

Coughlin, Daniel, Ryan Ginder, Michael Gruskiewicz, David Hartman, Charles Ludwig, Soydan Ozcan, David Salem, et al. Process and Applications Development for Recycled Mixed-Stream Composites. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1874644.

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2

Coughlin, Daniel, Ryan Ginder, Michael Gruskiewicz, David Hartman, Charles Ludwig, Soydan Ozcan, David Salem, et al. Process and Applications Development for Recycled Mixed-Stream Composites. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1856110.

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3

Author, Not Given. Demonstration of ATG Process for Stabilizing Mercury (<260 ppm) Contaminated Mixed Waste. Mixed Waste Focus Area. OST Reference # 2407. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/1248047.

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4

PETERS, THOMAS. Testing of the In Situ, Mixed Iron Oxide (IS-MIO) Alpha Removal Process. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/834243.

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5

Maeglin, R. R., and R. S. Boone. Evaluation of mixed hardwood studs manufactured by the Saw-Dry-Rip (SDR) process. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 1985. http://dx.doi.org/10.2737/fpl-rn-249.

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6

Author, Not Given. Demonstration of NFS DeHg Process for Stabilizing Mercury (<260 ppm) Contaminated Mixed Waste. Mixed Waste Focus Area. OST Reference Number 2229. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/1246951.

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7

Author, Not Given. Demonstration of GTS Duratek Process for Stabilizing Mercury Contaminated (<260 ppm) Mixed Wastes. Mixed Waste Focus Area. OST Reference No. 2409. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/1248380.

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8

Bloom, R. R. Grand Junction projects office mixed-waste treatment program, VAC*TRAX mobile treatment unit process hazards analysis. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/419089.

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9

Singh, S., and T. Lomenick. Summary report on the demonstration of the Duratek process for treatment of mixed-waste contaminated groundwater. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10147510.

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10

Chiang, J. M., W. D. Bostick, D. P. Hoffman, W. H. Hermes, L. V. Jr Gibson, and A. A. Richmond. Surrogate formulations for thermal treatment of low-level mixed waste. Part 3: Plasma hearth process testing. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10161255.

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