Academic literature on the topic 'Modeling of processes'
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Journal articles on the topic "Modeling of processes"
Chernovolov, V. A., L. V. Kravchenko, V. B. Litvinov, A. N. Nikitina, and A. A. Filina. "Probabilistic modeling of overhead irrigation processes." Computational Mathematics and Information Technologies 1, no. 1 (2019): 50–63. http://dx.doi.org/10.23947/2587-8999-2019-1-1-50-63.
Full textRábová, I. "Business rules specification and business processes modeling." Agricultural Economics (Zemědělská ekonomika) 55, No. 1 (February 11, 2009): 20–24. http://dx.doi.org/10.17221/2503-agricecon.
Full textShamin, Roman V., Alexander A. Chursin, Anna G. Shmeleva, and Natalia V. Bondarchuk. "Finite State Machine and Investment Processes Modeling." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 29, 2019): 100–103. http://dx.doi.org/10.5373/jardcs/v11sp11/20192934.
Full textHIRAISHI, Kunihiko. "Modeling Complex Processes." IEICE ESS Fundamentals Review 6, no. 4 (2013): 257–64. http://dx.doi.org/10.1587/essfr.6.257.
Full textTurcotte, Donald L. "Modeling geomorphic processes." Physica D: Nonlinear Phenomena 77, no. 1-3 (October 1994): 229–37. http://dx.doi.org/10.1016/0167-2789(94)90136-8.
Full textDhar, Vasant, and Matthias Jarke. "On modeling processes." Decision Support Systems 9, no. 1 (January 1993): 39–49. http://dx.doi.org/10.1016/0167-9236(93)90021-t.
Full textKelbaliyev, G. I., V. I. Kerimli, and G. N. Huseynov. "MODELING OF THE PROCESSES OF SEPARATION OIL EMULSIONS." Azerbaijan Chemical Journal, no. 2 (June 20, 2019): 15–21. http://dx.doi.org/10.32737/0005-2531-2019-2-15-21.
Full textDammak, Salma, Faiza Ghozzi, and Faiez Gargouri. "ETL Processes Security Modeling." International Journal of Information System Modeling and Design 10, no. 1 (January 2019): 60–84. http://dx.doi.org/10.4018/ijismd.2019010104.
Full textKarasevich, A. "Modeling of emotional processes." NEW UNIVERSITY: TOPICAL ISSUES OF HUMANITIES AND SOCIAL SCIENCES, no. 7 (July 30, 2014): 68–72. http://dx.doi.org/10.15350/2222-1484.2014.7.00014.
Full textDella Torre, E. "Modeling of magnetizing processes." Proceedings of the IEEE 78, no. 6 (June 1990): 1017–26. http://dx.doi.org/10.1109/5.56913.
Full textDissertations / Theses on the topic "Modeling of processes"
Mukherjee, Prithwiraj. "Modeling complex decision processes." Thesis, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales, 2014. http://www.theses.fr/2014ESEC0007.
Full textThis thesis contains three essays dealing with the modeling of complex decision processes in marketing. Each of these deals with a different aspect of complex decision making, either at the individual or at the network level. Essays 1 and 2 in this dissertation are studies using agent-based models. Essay 1 is an extension of Goldenberg, Libai, and Muller (2010), who use an agent-based model to demonstrate that contrary to intuition, products with network externalities tend to diffuse slower than those without (the "chilling" effect). In their study, they use a simple 2-dimensional Moore neighborhood as the underlying network substrate depicting the market for new product adoption. In keeping with other studies demonstrating that network structure affects diffusion dynamics, I adapt their simulations for real-world network data and find that while larger networks and networks with higher average degree tend to offset this chilling effect, clustering could enhance it. I also demonstrate that for the same high-level parameters, a cumulation of many local micro-level conditions could end up speeding diffusion with network externalities, actually making it faster than without network externalities. Essay 2 deals with the controversy surrounding multilevel marketing (MLM) schemes and questions of their profitability to their freelance sales force. Building on the sparse literature in this field, I build an agent-based model of the growth of an MLM scheme on a social network. Unlike extant work which neglects the role of recruits' business expenses on the decision to join, I include the same, and show that it has non-trivial effects on the proliferation of MLM schemes. In essay 3, I build a new model of preferences based on the notion of anchoring. This vectorbased model is based on Lancaster's (1966) multiattribute utility model, but allows the weights to be shaped by context. Context-dependent models are important in studying consumer choices, as for example, in explaining new product adoptions, new product takeoff, and market dynamics. Context dependent choice models can be used in conjoint analyses to provide calibrated input data to instantiate agent-based models that simulate new product growth. Thus, Essay 3 is a small but important piece in the overall jigsaw puzzle of complex decision processes. The proposed modeling approach can be used to simulate individual decision processes with what-if scenarios regarding options available to a single consumer, and thus be used to build an agent-based simulation of an entire market
Nielssen, Johan. "Information modeling of manufacturing processes." Doctoral thesis, KTH, Production Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3628.
Full textThe innovation process is an important process for our primemotor of welfare, manufacturing. During this process, theprerequisites for manufacturing are set. To set the bestpossible prerequisites consideration about products,manufacturing processes, and manufacturing resources must bemade concurrently, which also means involving several differentdisciplines in a collaborative effort.
As a consequence of involving different disciplines, thecommunication of engineering information may be hindered. Thereason is that different disciplines use different terminologyfor the same concept and sometimes have the same terminologyfor different concepts. This may result in difficultiesunderstanding each other, which may, in turn, result inunnecessary loss of quality and productivity.
The main objective of this thesis is to identify informationconcepts (i.e. information requirements) for process planningin a concurrent engineering environment, and to formally definethe corresponding terminology. The work is based on casestudies at Volvo Car Corporation, involving management of weldspot and location system information, and at ABB Body-in-White,involving tender preparation information.
The results are presented in the thesis in terms of aninformation model, the Product-Process-Resource (PPR)information model, and two corroborated hypotheses. The PPRinformation model defines the identified informationrequirements in the scope of the thesis whereas the hypothesesconcern how, e.g., modularization can be used in informationmodeling.
The PPR information model provides the base for aninformation platform in a concurrent engineeringenvironment.
The PPR information model enable model based documentationand, thus, traceability of the evolution of the product,process, and manufacturing resource designs, and theirinterrelations.
Keywords:Information Modeling, Process Planning,Concurrent Engineering, Information Management
Vedin, Jörgen. "Numerical modeling of auroral processes." Doctoral thesis, Umeå University, Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.
Full textOne of the most conspicuous problems in space physics for the last decades has been to theoretically describe how the large parallel electric fields on auroral field lines can be generated. There is strong observational evidence of such electric fields, and stationary theory supports the need for electric fields accelerating electrons to the ionosphere where they generate auroras. However, dynamic models have not been able to reproduce these electric fields. This thesis sheds some light on this incompatibility and shows that the missing ingredient in previous dynamic models is a correct description of the electron temperature. As the electrons accelerate towards the ionosphere, their velocity along the magnetic field line will increase. In the converging magnetic field lines, the mirror force will convert much of the parallel velocity into perpendicular velocity. The result of the acceleration and mirroring will be a velocity distribution with a significantly higher temperature in the auroral acceleration region than above. The enhanced temperature corresponds to strong electron pressure gradients that balance the parallel electric fields. Thus, in regions with electron acceleration along converging magnetic field lines, the electron temperature increase is a fundamental process and must be included in any model that aims to describe the build up of parallel electric fields. The development of such a model has been hampered by the difficulty to describe the temperature variation. This thesis shows that a local equation of state cannot be used, but the electron temperature variations must be descibed as a nonlocal response to the state of the auroral flux tube. The nonlocal response can be accomplished by the particle-fluid model presented in this thesis. This new dynamic model is a combination of a fluid model and a Particle-In-Cell (PIC) model and results in large parallel electric fields consistent with in-situ observations.
Vedin, Jörgen. "Numerical modeling of auroral processes /." Umeå : Dept. of Physics, Umeå Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.
Full textHubler, David K. "Modeling Electrochemical Water Treatment Processes." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/265367.
Full textSzymkiewicz, Paul M. "Towards modeling of retrofit processes." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53891.
Full textSharma, Sandeep Ph D. Massachusetts Institute of Technology. "Predictive modeling of combustion processes." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54583.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 161-169).
Recently, there has been an increasing interest in improving the efficiency and lowering the emissions from operating combustors, e.g. internal combustion (IC) engines and gas turbines. Different fuels, additives etc. are used in these combustors to try to find the optimal operating conditions and fuel combination which gives the best results. This process is ad-hoc and costly, and the expertise gained on one system cannot easily be transfered to other situations. To improve this process a more fundamental understanding of chemistry and physical processes is required. The fundamental constants like rate coefficients of elementary reactions are readily transferable enabling us to use results from one set of experiments or calculations in a different situation. In our group we have taken this approach and developed the software Reaction Mechanism Generator (RMG), which generates chemical mechanism for oxidation and pyrolysis of a given fuel under a set of user-defined physical conditions. RMG uses group additivity values to generate thermochemistry of molecules and has a database of rate coefficients of elementary reactions. These two sets of data are used to generate chemical kinetic mechanism in a systematic manner. The reaction mechanisms generated by RMG are purely predictive and elementary rate coefficient from any reliable source can be added to RMG database to improve the quality of its predictions. The goal of my thesis was two fold, first to extend the capabilities and database of RMG and to release it as an open source software for the chemical kinetic community to use.
(cont.) The second was to take a practical system of interest and use RMG to generate the chemical mechanism and thereby demonstrate the utility of RMG in generating predictive chemical mechanisms for practical situations. As a part of the second step our hope was to generate new chemical insights into soot formation processes which are of great interest. The three most important contributions of the thesis are listed below. 1. My work with RMG has resulted in order of magnitude improvements in the cpu and memory usage of RMG and it has added many useful features to RMG like ac- curate sensitivity analysis for better interpreting the final mechanism. I have also worked on extending the database of RMG, by adding thermochemistry of ringed species that cannot be treated adequately by group additivity. Also kinetic rate rules for intramolecular-H-migration reactions in OOQOOH molecules were added to RMG database, which are important in predicting the low temperature oxidation of alkanes. 2. Recently there have been considerable advances in the methodology for rate coefficient calculations for loose transition states, i.e transition states that are not saddle points. These type of transition states are encountered often in radical-radical reactions. In addition to these advances there has been significant progress in accurate calculation of the pressure dependent rate coefficients for complicated potential energy surfaces with multiple wells and multiple product channels. The method is based on the master equation formulation of the problem. These detailed equations are then appropriately coarse-grained to calculate the phenomenological rate coefficients.
(cont.) I have used these state of the art techniques to calculate the rate coefficients for the formation of various aromatic species like benzene and styrene. The rate coefficients predicted by these methods were tested under certain conditions and are in good agreement with experimental data. 3. Finally to model a two-dimensional diffusion flame we have developed a solver that is able to solve a complicated set of highly coupled differential equations in an efficient manner to give accurate results. The solver in conjunction with chemistry that is developed using techniques mentioned in the last two points is used to solve the mole fraction profiles in the diffusion flame. The results of the simulations are compared to the experimental measurements and this process gives us insight into soot formation in diffusion flames.
by Sandeep Sharma.
Ph.D.
Andrade, Restrepo Martín. "Mathematical modeling and evolutionary processes." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCC021.
Full textThe research presented in this thesis concerns different topics in the field of Biomathematics. I address diverse questions arising in biology (and related to complex systems) with mathematical and numerical methods. These questions are: (i) Are passive-processes enough to justify the asymmetric distribution of damaged proteins during and after yeast cytokinesis? (ii) What processes are behind the complex patterns of expansion of Amyloid beta in the brains of patients with Alzheimer’s disease? (iii) What is behind the clustering and cline-like dichotomy in models of evolution along environmental gradients? (iv) How does this dichotomy affect the spatial dynamics of invasions and range expansions? (v) How does multi-stability manifest in these models? These questions are approached (at different scales, some fully and some partially) with different theoretical methods. Results are expected to shed light on the biological processes analyzed and to motivate further experimental and empirical work which can help solve lingering uncertainties
Sharma, Chetan M. Eng Massachusetts Institute of Technology. "Automatic modeling of machining processes." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130833.
Full textCataloged from the official PDF of thesis.
Includes bibliographical references (pages 47-48).
3 axis CNC milling is a ubiquitous manufacturing method in industry due to its versatility and precision. The fundamental parameters that dictate cutting performance ("speeds, feeds, and engagement") must be manually set by the machine programmer; proper operation therefore relies heavily on operator skill. In this thesis, an intelligent CNC controller is presented that uses low-cost sensors to fit an analytical model of cutting forces. The analytical nature of this model allows for favorable convergence characteristics and low computational costs. This is used to optimize cutting feeds with respect to process constraints for future movements; as more data is collected, the model continuously reinforced. This intelligent controller therefore abstracts out some of the complexities of machining and makes the process more approachable.
by Chetan Sharma.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Su, Jiann-Cherng. "Residual stress modeling in machining processes." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14030.
Full textCommittee Chair: Liang, Steven Y.; Committee Member: Garmestani, Hamid; Committee Member: Huang, Yong; Committee Member: Melkote, Shreyes N.; Committee Member: Neu, Richard W. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Books on the topic "Modeling of processes"
Mazumdar, Dipak. Modeling of steelmaking processes. Boca Raton: Taylor & Francis, 2010.
Find full textKing, Chi-Yu, and Roberto Scarpa, eds. Modeling of Volcanic Processes. Wiesbaden: Vieweg+Teubner Verlag, 1988. http://dx.doi.org/10.1007/978-3-322-89414-4.
Full textIguchi, Manabu, and Olusegun J. Ilegbusi. Modeling Multiphase Materials Processes. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7479-2.
Full textProcess modeling. Harlow: Longman Scientific & Technical, 1987.
Find full textDenn, Morton M. Process modeling. New York: Longman, 1986.
Find full textProcess dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.
Find full textMarkov processes for stochastic modeling. London: Chapman & Hall, 1997.
Find full textMarkov processes for stochastic modeling. Amsterdam: Academic Press, 2009.
Find full textModeling coastal and marine processes. 2nd ed. [London, England]: Imperial College Press, 2015.
Find full textYagyū, T. Modeling design objects and processes. Berlin: Springer-Verlag, 1991.
Find full textBook chapters on the topic "Modeling of processes"
Lanchier, Nicolas. "Branching processes." In Stochastic Modeling, 93–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50038-6_6.
Full textSimonovits, András. "Demographic processes." In Modeling Pension Systems, 65–75. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230597693_8.
Full textHřebíček, J., and T. Pitner. "Modeling Social Processes." In Solving Problems in Scientific Computing Using Maple and MATLAB®, 351–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-97953-8_24.
Full textBörger, Egon, and Alexander Raschke. "Modeling Business Processes." In Modeling Companion for Software Practitioners, 181–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56641-1_5.
Full textOsswald, Tim A. "Modeling Polymer Processes." In Understanding Polymer Processing, 259–357. München: Carl Hanser Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.3139/9781569906484.010.
Full textStauffer, Fritz. "Modeling Subsurface Processes." In Soil and Groundwater Pollution, 14–16. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8587-3_4.
Full textHřebíček, J., and T. Pitner. "Modeling Social Processes." In Solving Problems in Scientific Computing Using Maple and MATLAB®, 351–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18873-2_24.
Full textHo, Teh C. "Modeling Refining Processes." In Springer Handbook of Petroleum Technology, 841–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49347-3_27.
Full textOsswald, Tim A. "Modeling Polymer Processes." In Understanding Polymer Processing, 207–79. München: Carl Hanser Verlag GmbH & Co. KG, 2010. http://dx.doi.org/10.3139/9783446446038.009.
Full textPaul, Wolfgang, and Jörg Baschnagel. "Modeling the Financial Market." In Stochastic Processes, 163–235. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00327-6_5.
Full textConference papers on the topic "Modeling of processes"
Al-Fedaghi, Sabah, and Mahmoud BehBehani. "Modeling banking processes." In 2018 International Conference on Information and Computer Technologies (ICICT). IEEE, 2018. http://dx.doi.org/10.1109/infoct.2018.8356838.
Full textIman, Ronald L. "Modeling input processes." In the 18th conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/318242.318257.
Full textBren, David. "Radiative processes calculation in plasma fiber." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386879.
Full textKADOCHNIKOV, I. N., and I. V. ARSENTIEV. "MODELING OF VIBRATION-ELECTRONIC-CHEMISTRY COUPLING IN NONEQUILIBRIUM AIR PLASMA UNDER SHOCK CONDITIONS." In NONEQUILIBRIUM PROCESSES. TORUS PRESS, 2018. http://dx.doi.org/10.30826/nepcap2018-1-02.
Full textStratton, B. C. "Modeling of impurity emissions from tokamak plasmas." In Atomic processes in plasmas. AIP, 1990. http://dx.doi.org/10.1063/1.39281.
Full textHeister, S. "Modeling primary atomization processes." In 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-3837.
Full textAntunes, Pedro, Valeria Herskovic, Sergio F. Ochoa, and Jose A. Pino. "Modeling highly collaborative processes." In 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2013. http://dx.doi.org/10.1109/cscwd.2013.6580960.
Full textLandwehr, Niels. "Modeling interleaved hidden processes." In the 25th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1390156.1390222.
Full textRamesh, B., K. Sengupta, and K. Mohan. "Modeling knowledge intensive processes." In 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. IEEE, 2004. http://dx.doi.org/10.1109/hicss.2004.1265234.
Full textRamesh, B. "Modeling knowledge intensive processes." In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE, 2003. http://dx.doi.org/10.1109/hicss.2003.1174228.
Full textReports on the topic "Modeling of processes"
Buchmaster. Modeling of Physical Processes. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada384825.
Full textRatcliff, Roger. Modeling Perceptual Decision Processes. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada609771.
Full textBuckmaster, John. Modeling of Physical Processes. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada408985.
Full textRhee, M., R. Becker, R. Couch, and M. Li. Modeling Production Plant Forming Processes. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/918410.
Full textWeatherly, Georges L. Modeling Coastal Sediment Transport Processes. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada300247.
Full textMaxey, Martin. Modeling Mesoscale Processes of Scalable Synthesis. Office of Scientific and Technical Information (OSTI), May 2018. http://dx.doi.org/10.2172/1496226.
Full textBeyeler, Walter E., Mercy B. DeMenno, and Patrick D. Finley. Modeling veterans healthcare administration disclosure processes :. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1096264.
Full textWerner, Brad. Modeling Nearshore Processes as Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada416942.
Full textBiaggne, Austin Robert, Michael D. McMurtrey, Joseph Louis Bass, and Larry K. Aagesen Jr. Modeling Sintering Processes of Nanoparticle Inks. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1546728.
Full textJones, S. E. Analytical Modeling of High Rate Processes. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada343323.
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