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Journal articles on the topic 'Dynamic process'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Flores-Jimeno, Rocío, and Inmaculada Jimeno-García. "Dynamic analysis of different business failure process." Problems and Perspectives in Management 15, no. 2 (2017): 486–99. http://dx.doi.org/10.21511/ppm.15(si).2017.02.

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This work is framed in the research of business failure. We examine a method of analyzing the dynamics of financial failure. The authors examine a method of analyzing the dynamics of financial failure, because our goal is to analyze how the economic and financial indicators show the risk of failure in a group of companies. Using a sample of 163 companies declared bankrupt or dissolved, the authors show how to depict company trajectories of behavior and movement to terminal failure. They analyze these trajectories to find and describe empirical evidence of the different dynamics of bankruptcy.

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2

f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (2023): 77–94. http://dx.doi.org/10.56428/aqij.2023.2.2.77.

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This article addresses the question “How is dynamic narrative inquiry dynamic?” To do that, I present principles of dynamic narrative inquiry, with a focus on the active authoring of meaning in research interactions as in everyday life. Drawing on prior examples of activity-meaning system research designs and dynamic narrative analyses, I illustrate how this authoring process involves creative use of language and literary forms to express and transform interactive meaning with diverse others and one’s self. A goal of the article is to increase researchers’ sensitivity to the fact that paying a

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3

Fine, Charles H., and Evan L. Porteus. "Dynamic Process Improvement." Operations Research 37, no. 4 (1989): 580–91. http://dx.doi.org/10.1287/opre.37.4.580.

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4

Foley, James, and Charles McMath. "Dynamic Process Visualization." IEEE Computer Graphics and Applications 6, no. 3 (1986): 16–25. http://dx.doi.org/10.1109/mcg.1986.276628.

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5

Baldea, Michael, and Thomas F. Edgar. "Dynamic process intensification." Current Opinion in Chemical Engineering 22 (December 2018): 48–53. http://dx.doi.org/10.1016/j.coche.2018.08.003.

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6

Marievskaya, Natalia Yevgenyevna. "Screenplay as a Dynamic Process Model." Journal of Flm Arts and Film Studies 6, no. 2 (2014): 22–35. http://dx.doi.org/10.17816/vgik6222-35.

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The article problematizes the applicability of the concept formation, developed by the nonlinear dynamics' theory, to the field of study of a narrative text. Cinema work is considered as a dynamic process model. It is shown that every narrative text implements nonlinear dynamics as it comprises a point of explosion.

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7

Seethaler, R. J., and I. Yellowley. "Process control and dynamic process planning." International Journal of Machine Tools and Manufacture 40, no. 2 (2000): 239–57. http://dx.doi.org/10.1016/s0890-6955(99)00054-1.

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8

Capón-García, Elisabet, Gonzalo Guillén-Gosálbez, and Antonio Espuña. "Integrating process dynamics within batch process scheduling via mixed-integer dynamic optimization." Chemical Engineering Science 102 (October 2013): 139–50. http://dx.doi.org/10.1016/j.ces.2013.07.039.

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9

Heimann, Peter, Carl-Arndt Krapp, Bernhard Westfechtel, and Gregor Joeris. "Graph-Based Software Process Management." International Journal of Software Engineering and Knowledge Engineering 07, no. 04 (1997): 431–55. http://dx.doi.org/10.1142/s0218194097000254.

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Software process dynamics challenge the capabilities of process-centered software engineering environments. Dynamic task nets represent evolving software processes by hierarchically organized nets of tasks which are connected by control, data, and feedback flows. Project managers operate on dynamic task nets in order to assess the current status of a project, trace its history, perform impact analysis, handle feedback, adapt the project plan to changed product structures, etc. Developers are supported through task agendas and provision of tools and documents. Chained tasks may be executed in p

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10

Greenberg, Steven. "Speech: A Dynamic Process." Journal of the Acoustical Society of America 144, no. 6 (2018): 3210. http://dx.doi.org/10.1121/1.5082302.

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11

Sun, Jing. "Dynamic Process Capability Indices." Asian Journal on Quality 3, no. 2 (2002): 74–83. http://dx.doi.org/10.1108/15982688200200020.

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12

Dassios, Angelos, and Hongbiao Zhao. "A dynamic contagion process." Advances in Applied Probability 43, no. 3 (2011): 814–46. http://dx.doi.org/10.1239/aap/1316792671.

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We introduce a new point process, the dynamic contagion process, by generalising the Hawkes process and the Cox process with shot noise intensity. Our process includes both self-excited and externally excited jumps, which could be used to model the dynamic contagion impact from endogenous and exogenous factors of the underlying system. We have systematically analysed the theoretical distributional properties of this new process, based on the piecewise-deterministic Markov process theory developed in Davis (1984), and the extension of the martingale methodology used in Dassios and Jang (2003).

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13

Dassios, Angelos, and Hongbiao Zhao. "A dynamic contagion process." Advances in Applied Probability 43, no. 03 (2011): 814–46. http://dx.doi.org/10.1017/s0001867800005152.

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We introduce a new point process, the dynamic contagion process, by generalising the Hawkes process and the Cox process with shot noise intensity. Our process includes both self-excited and externally excited jumps, which could be used to model the dynamic contagion impact from endogenous and exogenous factors of the underlying system. We have systematically analysed the theoretical distributional properties of this new process, based on the piecewise-deterministic Markov process theory developed in Davis (1984), and the extension of the martingale methodology used in Dassios and Jang (2003).

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14

Chernyshev, V., and O. Fominova. "Dynamic Damping Process Control." Procedia Engineering 206 (2017): 272–78. http://dx.doi.org/10.1016/j.proeng.2017.10.473.

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15

Deisenroth, Marc Peter, Carl Edward Rasmussen, and Jan Peters. "Gaussian process dynamic programming." Neurocomputing 72, no. 7-9 (2009): 1508–24. http://dx.doi.org/10.1016/j.neucom.2008.12.019.

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16

Kipnis, C., and Ph Robert. "A dynamic storage process." Stochastic Processes and their Applications 34, no. 1 (1990): 155–69. http://dx.doi.org/10.1016/0304-4149(90)90061-v.

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17

Quante, Jochen, and Rainer Koschke. "Dynamic object process graphs." Journal of Systems and Software 81, no. 4 (2008): 481–501. http://dx.doi.org/10.1016/j.jss.2007.06.005.

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18

Pearsall, K., and B. Raines. "Dynamic manufacturing process control." IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part A 17, no. 1 (1994): 153–58. http://dx.doi.org/10.1109/95.296383.

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19

Christie, Sean D., John K. Song, and Richard G. Fessler. "Dynamic Interspinous Process Technology." Spine 30, Supplement (2005): S73—S78. http://dx.doi.org/10.1097/01.brs.0000174532.58468.6c.

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20

Ehrhardt, K., J. Borchardt, F. Grund, and D. Horn. "Distributed Dynamic Process Simulation." ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 81, S3 (2001): 715–16. http://dx.doi.org/10.1002/zamm.200108115133.

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21

Nijjar, Ruchi, and Fred Fendler. "Insurance: A Dynamic Process." Journal of the California Dental Association 37, no. 4 (2009): 259–64. http://dx.doi.org/10.1080/19424396.2009.12222971.

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22

Kryvonosov, Ie V. "Analysis of dynamic parameters of the KY-crystallization process." Functional materials 23, no. 2 (2016): 300–306. http://dx.doi.org/10.15407/fm23.02.300.

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23

Ju, Ming, Yang Jiang, Feihong Yun, et al. "Research on Dynamic Response of Pipeline under the Reeling Process and Laying Process." Journal of Marine Science and Engineering 11, no. 9 (2023): 1783. http://dx.doi.org/10.3390/jmse11091783.

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During the process of laying submarine pipelines using the R-lay (short for reel-lay) method, the interaction between the pipeline and the laying equipment undergoes continual fluctuations, leading to bending in the pipeline induced by the stochastic dynamics of various external loads. Considering the challenge in forecasting the dynamic behavior of pipeline bending moments and ovality throughout this procedure, we constructed a finite element-based shell element model for a 6-inch pipeline. In this paper, a multi-step simulation approach was used to replicate the pipeline laying process, and

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24

Dragnea, Petru, and Costin Sorin Bildea. "Process Control of Isobutane-Butene Alkylation Unit." Revista de Chimie 68, no. 12 (2018): 2865–74. http://dx.doi.org/10.37358/rc.17.12.5996.

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This paper presents the assessment of the dynamic behavior and the control system response of the isobutane-butene alkylation process, via dynamic simulations performed in Aspen Dynamics. The steps for developing the dynamic models, the control structures and the controllers tuning are discussed. The transient behavior of the plant when different disturbances are considered is evaluated. Two flowsheets are investigated � one with three separation columns and the other one with two separation columns for product purification. The results are presented in graphical form and a comparison between

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25

Jürgensen, Lars, Ehiaze Augustine Ehimen, Jens Born, and Jens Bo Holm-Nielsen. "Dynamic biogas upgrading based on the Sabatier process: Thermodynamic and dynamic process simulation." Bioresource Technology 178 (February 2015): 323–29. http://dx.doi.org/10.1016/j.biortech.2014.10.069.

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26

Cole, Pamela M., K. Ashana Ramsook, and Nilam Ram. "Emotion dysregulation as a dynamic process." Development and Psychopathology 31, no. 3 (2019): 1191–201. http://dx.doi.org/10.1017/s0954579419000695.

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AbstractIn this article we adopt the view that emotion dysregulation is characterized by emotion regulation dynamics that are defined as dysfunctional based on contextual criteria. We regard the construct of emotion regulation as valuable because it permits the integration of the classic view of emotions as interfering with human functioning and contemporary views of emotion as adaptive and beneficial. To define patterns that reflect emotion dysregulation, we explain our views of emotion as a dynamic process, and emotion regulation as the bidirectional interplay between emotions and actions/th

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27

Tainaka, Kei-ichi, Mineo Hoshiyama, and Yasuhiro Takeuchi. "Dynamic process and variation in the contact process." Physics Letters A 272, no. 5-6 (2000): 416–20. http://dx.doi.org/10.1016/s0375-9601(00)00421-7.

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28

Eiser, J. Richard. "Addiction as a Dynamic Process." Addiction Research 5, no. 5 (1997): 361–65. http://dx.doi.org/10.3109/16066359709004350.

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29

Yoshioka, Naoto, and Masato Yoshioka. "Dynamic observation of indentation process." Geophysical Research Letters 22, no. 2 (1995): 113–16. http://dx.doi.org/10.1029/94gl02843.

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30

de Grave, Jean-Marc. "NAMING AS A DYNAMIC PROCESS." Indonesia and the Malay World 39, no. 113 (2011): 69–88. http://dx.doi.org/10.1080/13639811.2011.547730.

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31

Wu, Lifang, and Daewoo Park. "Dynamic outsourcing through process modularization." Business Process Management Journal 15, no. 2 (2009): 225–44. http://dx.doi.org/10.1108/14637150910949461.

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32

Song, Wei, and Hans-Arno Jacobsen. "Static and Dynamic Process Change." IEEE Transactions on Services Computing 11, no. 1 (2018): 215–31. http://dx.doi.org/10.1109/tsc.2016.2536025.

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33

Pesonen, Lasse T. T., Simo J. Salminen, Jean-Peter Ylén, and Pasi Riihimäki. "Dynamic simulation of product process." Simulation Modelling Practice and Theory 16, no. 8 (2008): 1091–102. http://dx.doi.org/10.1016/j.simpat.2008.04.002.

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34

Guay, M., P. J. McLellan, and D. W. Bacon. "Measurement of Dynamic Process Nonlinearity." IFAC Proceedings Volumes 30, no. 9 (1997): 589–94. http://dx.doi.org/10.1016/s1474-6670(17)43213-7.

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35

Doyle III, Francis J., Harpreet S. Kwatra, and James S. Schwaber. "Dynamic gain scheduled process control." Chemical Engineering Science 53, no. 15 (1998): 2675–90. http://dx.doi.org/10.1016/s0009-2509(98)00089-x.

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36

Moetakef-Imani, B., and N. Z. Yussefian. "Dynamic simulation of boring process." International Journal of Machine Tools and Manufacture 49, no. 14 (2009): 1096–103. http://dx.doi.org/10.1016/j.ijmachtools.2009.07.008.

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37

Liu, Shuangyue, Juan Wang, Lina Chen, Dan Wang, and Fei Jiang. "Dynamic Security Decision-making Process." Procedia Engineering 43 (2012): 262–68. http://dx.doi.org/10.1016/j.proeng.2012.08.045.

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38

Goertz, S. T. "The dynamic nuclear polarization process." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 526, no. 1-2 (2004): 28–42. http://dx.doi.org/10.1016/j.nima.2004.03.147.

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39

van Geert, Paul L. C. "Dynamic Systems, Process and Development." Human Development 63, Suppl. 3-4 (2019): 153–79. http://dx.doi.org/10.1159/000503825.

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40

Boysen, Gudrun, and Hanne Christensen. "Early Stroke: A Dynamic Process." Stroke 32, no. 10 (2001): 2423–25. http://dx.doi.org/10.1161/hs1001.098155.

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41

Parada, Marcelo, Peter Vontobel, René M. Rossi, Dominique Derome, and Jan Carmeliet. "Dynamic Wicking Process in Textiles." Transport in Porous Media 119, no. 3 (2017): 611–32. http://dx.doi.org/10.1007/s11242-017-0901-5.

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42

Trautmann, Stefan T., and Peter P. Wakker. "Process fairness and dynamic consistency." Economics Letters 109, no. 3 (2010): 187–89. http://dx.doi.org/10.1016/j.econlet.2010.08.031.

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43

WANG, KUEI YU, DAN C. MARINESCU, and OCTAVIAN F. CARBUNAR. "Dynamic scheduling of process groups." Concurrency: Practice and Experience 10, no. 4 (1998): 265–83. http://dx.doi.org/10.1002/(sici)1096-9128(19980410)10:4<265::aid-cpe314>3.0.co;2-u.

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44

Choi, Sang Wook, and In-Beum Lee. "Nonlinear dynamic process monitoring based on dynamic kernel PCA." Chemical Engineering Science 59, no. 24 (2004): 5897–908. http://dx.doi.org/10.1016/j.ces.2004.07.019.

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45

Wang, Xinrui, Hongbo Shi, Bing Song, Yang Tao, and Shuai Tan. "Enhanced dynamic latent variable analysis for dynamic process monitoring." Journal of the Taiwan Institute of Chemical Engineers 156 (March 2024): 105292. http://dx.doi.org/10.1016/j.jtice.2023.105292.

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46

CHENG, Yuxuan, Zhou ZHOU, and Zhengping WANG. "Research on deployment process of gravitational airdrop UAV." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 3 (2022): 485–92. http://dx.doi.org/10.1051/jnwpu/20224030485.

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Due to the space limitation of the launching platform, the wings of the space-based gravity delivery UAV need to be folded before launching. In the process of wing folding and launching, the dynamics model of UAV will show the characteristics of multiple rigid bodies and multiple degrees of freedom, and the aerodynamic characteristics of UAV are also quite different from that of cruise stage, so the traditional aircraft dynamics modeling method is no longer applicable. In this paper, the multibody dynamics model of gravitational airdrop UAV is first built based on the Lagrange equation, and th

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47

Xu, Yang-Yi, Timon Cheng-Yi Liu, and Lei Cheng. "Photobiomodulation Process." International Journal of Photoenergy 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/374861.

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Photobiomodulation (PBM) is a modulation of laser irradiation or monochromatic light (LI) on biosystems. There is little research on PBM dynamics although its phenomena and mechanism have been widely studied. The PBM was discussed from dynamic viewpoint in this paper. It was found that the primary process of cellular PBM might be the key process of cellular PBM so that the transition rate of cellular molecules can be extended to discuss the dose relationship of PBM. There may be a dose zone in which low intensity LI (LIL at different doses) has biological effects similar to each other, so that

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48

Sun, He Yang, Ji Sheng Ma, Jia Jun Yao, Hai Ping Liu, and Wei Li. "Dynamic Analysis on the Rotating Band’s Engraving Process." Advanced Materials Research 139-141 (October 2010): 1285–88. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1285.

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The Johnson-Cook yielding criteria model, the initial damage model and the progressive damage and failure constitute model have been introduced into the constitutive equations of the rotating band. By using the penalty function method, the dynamic contact model has been introduced and an explicit dynamics finite element model has been established. The process of the rotating band impacting the throat bore was molded based on the elastic-plastic contact finite element theory. The rotating band pulling in and impacting the throat bore was simulated by the numerical computation. The dynamic respo

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49

Rucki, Mirosław. "Dynamics of in-process control with non-contact air gauges." Reports in Mechanical Engineering 1, no. 1 (2020): 180–86. http://dx.doi.org/10.31181/rme200101180r.

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Dynamic properties of the air gauges performing in-process measurement are of the great importance because of dynamic error affecting the measurement results. The paper presents the analysis of the air gauges dynamics and some practical recommendation. The investigations proved the dependence of the time constants on the actually measured back-pressure. In practical solutions of in-process control, the air gauge must work in conditions of falling back-pressure since with the material removal dimensions of the machined workpiece go down. Thus, in the area of the smallest values of back-pressure

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50

Ahn, T. Y., K. F. Eman, and S. M. Wu. "Cutting Dynamics Identification by Dynamic Data System (DDS) Modeling Approach." Journal of Engineering for Industry 107, no. 2 (1985): 91–94. http://dx.doi.org/10.1115/1.3185988.

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The dynamics of the cutting process have been conventionally characterized in terms of the Dynamic Cutting Force Coefficients (DCFC) which represent its transfer characteristics at discrete frequencies. However, this approach fails to obtain the transfer function of the process in closed analytical form. Anticipating the stochastic nature of the cutting process and the double modulation principle, a two-input one-output multivariate system was postulated for the dynamic cutting process identification model. The Dynamic Data System (DDS) methodology was used to formulate and characterize the dy

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