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Journal articles on the topic 'Modeling of processes'

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1

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.

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2

Rábová, 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.

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Up to date business is managed by large-scale different rules that regulate how the business acts and how it is structured. We find the rules in law, regulation, business policy document, procedures manual, system documentation, memoranda etc. These reference resources may provide the specific basis for a rule or offer a background, context or explanation of the business rule. In the recent years, it has been discovered that business rules constitute an entire body of knowledge that has not been adequately addressed in either the analysis or design phases of the information system development. Typically, business rules have been buried in the program code or in the database structures. The article deals with the business rules approach and rule technology and helps to identify the business and technical opportunities they afford to the company. It offers the business process model and its integration with business rules. This approach could provide business analysts with an essential approach to understanding, redesigning and communicating what really happens in the business processes (in agricultural area). It serves to understand the business impact of any change in small and medium-sized organizations. We use the UML notation and its business model extension.
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3

Shamin, 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.

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4

HIRAISHI, Kunihiko. "Modeling Complex Processes." IEICE ESS Fundamentals Review 6, no. 4 (2013): 257–64. http://dx.doi.org/10.1587/essfr.6.257.

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5

Turcotte, 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.

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6

Dhar, 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.

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7

Kelbaliyev, 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.

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8

Dammak, 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.

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The development of information systems (IS) in a secure environment or condition is a complex task that involves many additional basic security protocols, policies as well as industry standards on passwords, anti-virus programs, firewalls and data encryption. However, in traditional IS development lifecycles, security is either ignored or added as an afterthought, which does not assure the system complete security. So, it is necessary to give more importance to this issue and consider it as part of IS development process. In this context, the authors should guarantee the security of ETL (Extract, Transform, Load) processes, which are among the most critical and complex tasks during DW development project. In this study, security management is carried out for ETL processes by proposing a meta-model integrating the security concepts from the security requirements to the necessary preventive and / or corrective treatments. The proposed meta-model is validated with instantiation.
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9

Karasevich, 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.

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10

Della 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.

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11

Shim, Jaehu, Martin Bliemel, and Myeonggil Choi. "Modeling complex entrepreneurial processes." International Journal of Entrepreneurial Behavior & Research 23, no. 6 (October 2, 2017): 1052–70. http://dx.doi.org/10.1108/ijebr-11-2016-0374.

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Purpose The purpose of this paper is to suggest a bibliometric method for designing agent-based models (ABMs) in entrepreneurship research. The application of this method is illustrated with an exemplary agent-based modeling and simulation (ABMS) regarding the early venture growth process. This bibliometric approach invigorates the utilization of ABMS as a viable research methodology in process-oriented entrepreneurship research. Design/methodology/approach In the bibliometric method, a domain corpus composed of scholarly articles is established and systematically analyzed through co-word analysis to discern essential concepts (i.e. agents, objects, and contexts) and their interrelations. The usefulness of the bibliometric method is elucidated by constructing an illustrative ABMS. Findings The bibliometric method for designing ABMs identifies essential concepts in the entrepreneurship literature and provides contexts in which the concepts are interrelated. The illustrative ABMS based on these concepts and interrelations accurately and consistently reproduces the emergence of power-law distributions in venture outcomes consistent with empirical evidence, implying further merit to bibliometric procedures. Practical implications The proposed method can be used not only to build simple models with essential concepts, but also to build more complex models that take a large number of concepts and their interrelations into consideration. Originality/value This study proposes a bibliometric method for designing ABMs. The proposed method extends similar procedures that are limited to thematic or cluster analysis by examining the semantic contexts in which the concepts co-occur. This research suggests that ABMS from bibliographic sources can be built and validated with empirical evidence. Several considerations are provided for the combined utilization of the bibliometric method and ABMS in entrepreneurship.
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12

Price, David. "Modeling of steelmaking processes." Ironmaking & Steelmaking 37, no. 4 (May 2010): 262. http://dx.doi.org/10.1179/030192310x12628786049198.

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13

Murray, Alexander P. "Modeling Nuclear Decontamination Processes." Nuclear Technology 77, no. 2 (May 1987): 194–209. http://dx.doi.org/10.13182/nt87-a33984.

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14

Nagai, Junichi, and Graham D. McMeeking. "Modeling of electrochromic processes." Electrochimica Acta 44, no. 18 (May 1999): 3177–84. http://dx.doi.org/10.1016/s0013-4686(99)00035-3.

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15

Runkel, Robert L., Diane M. McKnight, and Harihar Rajaram. "Modeling hyporheic zone processes." Advances in Water Resources 26, no. 9 (September 2003): 901–5. http://dx.doi.org/10.1016/s0309-1708(03)00079-4.

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16

Savchenko, Yu N. "Modeling the Supercavitation Processes." International Journal of Fluid Mechanics Research 28, no. 5 (2001): 16. http://dx.doi.org/10.1615/interjfluidmechres.v28.i5.50.

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17

SMITH, I. "Modeling of volcanic processes." Earth-Science Reviews 27, no. 4 (June 1990): 402–3. http://dx.doi.org/10.1016/0012-8252(90)90081-6.

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18

Kalyanov, G. N. "Parallel Business Processes Modeling." Open Education 25, no. 4 (August 25, 2021): 39–46. http://dx.doi.org/10.21686/1818-4243-2021-4-39-46.

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19

Chistyakov, A. E., E. A. Protsenko, and E. F. Timofeeva. "Mathematical modeling of oscillatory processes with a free boundary." COMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES 1, no. 1 (2017): 102–12. http://dx.doi.org/10.23947/2587-8999-2017-1-1-102-112.

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20

Packard, Ted, Dolors Blasco, and Marta Estrada. "Modeling physiological processes in plankton on enzyme kinetic principles." Scientia Marina 68, S1 (April 30, 2004): 49–56. http://dx.doi.org/10.3989/scimar.2004.68s149.

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21

Borisov, Mirko, Radoje Bankovic, and Sinisa Drobnjak. "Modeling processes on topographic maps." Glasnik Srpskog geografskog drustva 89, no. 3 (2009): 207–18. http://dx.doi.org/10.2298/gsgd0903207b.

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The paper deals the procedures and processes in the modeling of topographic data. There are some fazes and procedures of modeling of topographic data in digital form. It deals in capturing, modeling, distributing and archiving of data. Sometimes many procedures are need for convertion and transformation from one format to other, from one system to other. The procedure of modeling data is a very important way and with computer-aided along with a certain degree of automatizaton that is useful for using and updating of topographic contents. .
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22

HARTEL, PETER, and RALF JUNGCLAUS. "MODELING BUSINESS PROCESSES OVER OBJECT." International Journal of Cooperative Information Systems 04, no. 02n03 (June 1995): 165–88. http://dx.doi.org/10.1142/s021884309500007x.

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The focus of this paper is on the modeling of application and business process in Cooperative Information Systems. Such processes use several resources and services to achieve a common, global system goal. We integrate the proposed concepts into the framework of a formal object-oriented specification language (TROLL). The goals of our approach are to provide additional modeling support for business and application processes, to explain these processes in the underlying framework and to couple tightly the modeling of global processes and the modeling of structural aspects of the system.
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23

Zinigrad, Michael. "Mathematical Modeling of Physicochemical Processes." Israel Journal of Chemistry 47, no. 3 (December 1, 2007): i. http://dx.doi.org/10.1560/ijc.47.3-4.i.

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24

Urban, Dean L. "MODELING ECOLOGICAL PROCESSES ACROSS SCALES." Ecology 86, no. 8 (August 2005): 1996–2006. http://dx.doi.org/10.1890/04-0918.

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25

Lund, Robert B., and Masaaki Kijima. "Markov Processes for Stochastic Modeling." Journal of the American Statistical Association 93, no. 442 (June 1998): 842. http://dx.doi.org/10.2307/2670143.

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26

Nurkasymova, S., and A. Mukasheva. "Methods of physical processes modeling." BULLETIN of the L.N. Gumilyov Eurasian National University. PEDAGOGY. PSYCHOLOGY. SOCIOLOGY Series 126, no. 1 (2019): 96–103. http://dx.doi.org/10.32523/2616-6895-2019-126-1-96-103.

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27

Cai, G. Q., and C. Wu. "Modeling of bounded stochastic processes." Probabilistic Engineering Mechanics 19, no. 3 (July 2004): 197–203. http://dx.doi.org/10.1016/j.probengmech.2004.02.002.

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28

Suñol, J. J., R. Berlanga, M. T. Clavaguera-Mora, and N. Clavaguera. "Modeling crystallization processes: transformation diagrams." Acta Materialia 50, no. 19 (November 2002): 4783–90. http://dx.doi.org/10.1016/s1359-6454(02)00321-x.

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29

Villa, Carlos M. "Reactor Modeling for Polymerization Processes." Industrial & Engineering Chemistry Research 46, no. 18 (August 2007): 5815–23. http://dx.doi.org/10.1021/ie070194s.

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30

Grácio, Filipe, Joaquim Cabral, and Bruce Tidor. "Modeling Stem Cell Induction Processes." PLoS ONE 8, no. 5 (May 8, 2013): e60240. http://dx.doi.org/10.1371/journal.pone.0060240.

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31

Valentine, Greg A., Dongxiao Zhang, and Bruce A. Robinson. "Modeling Complex, Nonlinear Geological Processes." Annual Review of Earth and Planetary Sciences 30, no. 1 (May 2002): 35–64. http://dx.doi.org/10.1146/annurev.earth.30.082801.150140.

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32

Sokovnin, O. M., N. V. Zagoskina, and S. N. Zagoskin. "Mathematical modeling of cyclic processes." Theoretical Foundations of Chemical Engineering 44, no. 4 (August 2010): 389–98. http://dx.doi.org/10.1134/s0040579510040056.

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33

Melamed, Benjamin. "Arm processes and modeling methodology." Communications in Statistics. Stochastic Models 15, no. 5 (January 1999): 903–29. http://dx.doi.org/10.1080/15326349908807568.

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34

Card, Noel A., and Todd D. Little. "Longitudinal modeling of developmental processes." International Journal of Behavioral Development 31, no. 4 (July 2007): 297–302. http://dx.doi.org/10.1177/0165025407077750.

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Methods for analyzing longitudinal developmental data have increased in terms of quantity and complexity in the last few decades. In this article, we describe the advantages of longitudinal data, review the use of longitudinal data in current developmental research, and then preview the articles in this Special Issue. A survey of recently published literature indicates that longitudinal data are commonly used (due to several advantages over concurrent data) across domains of developmental research and vary tremendously in terms of time spans studied, the number and structure of data points, and the analytic strategies used. The articles included in this Special Issue reflect the diversity in usage within developmental research and provide didactic presentations of advanced methods of analyzing longitudinal data to answer important developmental questions.
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35

Richards, D. F., M. O. Bloomfield, S. Soukane, and T. S. Cale. "Modeling plasma processes in microelectronics." Vacuum 59, no. 1 (October 2000): 168–78. http://dx.doi.org/10.1016/s0042-207x(00)00267-0.

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36

Mogilner, Alex, and David Odde. "Modeling cellular processes in 3D." Trends in Cell Biology 21, no. 12 (December 2011): 692–700. http://dx.doi.org/10.1016/j.tcb.2011.09.007.

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37

Pokorska, Iwona. "Modeling of powder metallurgy processes." Advanced Powder Technology 18, no. 5 (2007): 503–39. http://dx.doi.org/10.1163/156855207782146616.

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38

Buch, V., and J. P. Devlin. "Modeling of interstellar surface processes." Symposium - International Astronomical Union 178 (1997): 321–30. http://dx.doi.org/10.1017/s0074180900009463.

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Computational modeling is discussed of some interstellar surface processes. The surface of interstellar grains is envisaged as covered by at least several layers of weakly bonded molecular material. Simulated amorphous ice particles were used to model interaction of such surfaces with gas, including sticking of H and D atoms, and adsorption of H2. A possibility of microporosity of interstellar ice mantles is discussed.
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39

Medvedev, Alexander V., Eugene D. Mihov, and Oleg V. Nepomnyashchikh. "Mathematical Modeling of H-processes." Journal of Siberian Federal University. Mathematics & Physics 9, no. 3 (September 2016): 338–46. http://dx.doi.org/10.17516/1997-1397-2016-9-3-338-346.

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40

Jelenkovic, P. R., and B. Melamed. "Algorithmic modeling of TES processes." IEEE Transactions on Automatic Control 40, no. 7 (July 1995): 1305–12. http://dx.doi.org/10.1109/9.400470.

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41

Dantzig, J. A. "Modeling Solidification Processes using FIDAP." Crystal Research and Technology 34, no. 4 (April 1999): 417–24. http://dx.doi.org/10.1002/(sici)1521-4079(199904)34:4<417::aid-crat417>3.0.co;2-m.

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42

Raether, Friedrich, and Gerhard Seifert. "Modeling Inherently Homogeneous Sintering Processes." Advanced Theory and Simulations 1, no. 5 (April 19, 2018): 1800022. http://dx.doi.org/10.1002/adts.201800022.

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43

Sengupta, Arup K., and Lois Lim. "Modeling chromate ion-exchange processes." AIChE Journal 34, no. 12 (December 1988): 2019–29. http://dx.doi.org/10.1002/aic.690341211.

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44

Pritsker, A. Alan B. "Modeling in Performance-Enhancing Processes." Operations Research 45, no. 6 (December 1997): 797–804. http://dx.doi.org/10.1287/opre.45.6.797.

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45

den Elzen, M. G. J., and J. Rotmans. "Modeling climate related feedback processes." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 28, no. 9 (November 1993): 2095–151. http://dx.doi.org/10.1080/10934529309375997.

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46

Szulc, Elżbieta. "Modeling of Dynamic Spatial Processes." Dynamic Econometric Models 9 (July 18, 2009): 17. http://dx.doi.org/10.12775/dem.2009.002.

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47

Kim, Hung Soo, Vijay P. Singh, and Ji Chen. "Statistical Modeling of Hydroclimatological Processes." Advances in Meteorology 2016 (2016): 1–2. http://dx.doi.org/10.1155/2016/9735215.

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48

Maier, Gunther. "MODELING SEARCH PROCESSES IN SPACE." Papers in Regional Science 70, no. 2 (January 14, 2005): 133–47. http://dx.doi.org/10.1111/j.1435-5597.1991.tb01724.x.

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49

Menzefricke, Ulrich. "Hierarchical modeling with gaussian processes." Communications in Statistics - Simulation and Computation 29, no. 4 (January 2000): 1089–108. http://dx.doi.org/10.1080/03610910008813655.

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50

Nurmi, Jari-Erik. "Modeling Developmental Processes in Psychology." Perspectives on Science 21, no. 2 (June 2013): 181–95. http://dx.doi.org/10.1162/posc_a_00092.

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