Journal articles: 'Modeling analyses'

1

Frakes, L. A. "Paleoclimate analyses and modeling." Palaeogeography, Palaeoclimatology, Palaeoecology 57, no. 2-4 (December 1986): 340–41. http://dx.doi.org/10.1016/0031-0182(86)90022-2.

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Chansilp, Kacha, Paradee Chuaybamroong, Kittisak Kerdprasop, and Nittaya Kerdprasop. "On Modeling Smoke-Haze Incidence with Cluster and Regression Analyses." International Journal of Machine Learning and Computing 10, no. 6 (December 2020): 771——776. http://dx.doi.org/10.18178/ijmlc.2020.10.6.1004.

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Ghassemi, K., W. Conway, and J. Hines. "System Modeling Through Parametric Spreadsheet Analyses." INCOSE International Symposium 4, no. 1 (August 1994): 400–406. http://dx.doi.org/10.1002/j.2334-5837.1994.tb01734.x.

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Lames, M., and D. Plück. "Modeling soccer matches by recurrence analyses." IFAC-PapersOnLine 48, no. 1 (2015): 788–89. http://dx.doi.org/10.1016/j.ifacol.2015.05.181.

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Broman, David. "Interactive Programmatic Modeling." ACM Transactions on Embedded Computing Systems 20, no. 4 (June 2021): 1–26. http://dx.doi.org/10.1145/3431387.

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Modeling and computational analyses are fundamental activities within science and engineering. Analysis activities can take various forms, such as simulation of executable models, formal verification of model properties, or inference of hidden model variables. Traditionally, tools for modeling and analysis have similar workflows: (i) a user designs a textual or graphical model or the model is inferred from data, (ii) a tool performs computational analyses on the model, and (iii) a visualization tool displays the resulting data. This article identifies three inherent problems with the traditional approach: the recomputation problem, the variable inspection problem, and the model expressiveness problem. As a solution, we propose a conceptual framework called Interactive Programmatic Modeling. We formalize the interface of the framework and illustrate how it can be used in two different domains: equation-based modeling and probabilistic programming.

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Sampaio, Alcinia Zita, and Augusto Martins Gomes. "BIM Interoperability Analyses in Structure Design." CivilEng 2, no. 1 (February 14, 2021): 174–92. http://dx.doi.org/10.3390/civileng2010010.

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The building information modelling (BIM) methodology supports collaborative works, based on the centralization of all information in a federated BIM model and on an efficient level of interoperability between BIM-based platforms. Concerning the structure design, the interoperability capacity of the most used software presents limitations that must be identified and alternative solutions must be proposed. This study analyzes the process of transfer of structure models between modeling and structure analysis tools. Distinct building cases were performed in order to recognize the type of limitations verified in the transfer processes concerning two-way data flow between several software. The study involves the modeling software ArchiCAD 2020, Revit 2020, and AECOsim 2019 and the structure analyzes tools SAP 2020, Robot 2020, and ETABS 22020. The transfer processes are realized in two ways: using the native data format; using a universal standard data transfer, the Industry Foundation Classes (IFC) format. The level of maturity of BIM in structure design is still relatively low, caused essentially by interoperability problems, but despite the limitations detected, this study shows throughout the development of several building case, that the methodology has clear advantages in the development of the structure project.

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Preszler, Jonathan, and Maria A. Gartstein. "Latent state-trait modeling." International Journal of Behavioral Development 42, no. 4 (December 6, 2017): 445–52. http://dx.doi.org/10.1177/0165025417743066.

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Questions concerning longitudinal stability and multi-method consistency are critical to temperament research. Latent State-Trait (LST) analyses address these directly, and were utilized in this study. Thus, our primary objective was to apply LST analyses in a temperament context, using longitudinal and multi-method data to determine the amount of trait vs. state variance, as well as convergence for measures of Distress to Limitations (DL) facets. Mothers’ ratings and independent observations of DL behaviors collected on two occasions (8 months old and 12 months old) for 148 infants (49.2% female) were utilized. Single source latent state-trait (LST) analyses indicated that parent ratings of DL behavior (PDL) contained more trait ( M = 61%) than state residual ( M = 39%) variance, whereas independent observations (IO) of DL behavior contained substantially more state residual (75%) than trait (25%) variance. A multiple source LST analysis indicated virtually zero convergence for either trait or state residual variance between PDL and IO ratings ( M = 2%). In conclusion, PDL ratings were more trait-like across the 4-month interval, whereas IO ratings of DL were more state-like in nature. Also, no convergence was found between the two methods of measurement. Results are discussed with an emphasis on implications for the utility of LST analyses in temperament research.

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Riley, Matthew E., Ramana V. Grandhi, and Raymond Kolonay. "Quantification of Modeling Uncertainty in Aeroelastic Analyses." Journal of Aircraft 48, no. 3 (May 2011): 866–73. http://dx.doi.org/10.2514/1.c031059.

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Ibrahim, Medhat, Abdel Mahmoud, Osama Osman, Walid El-hotaby, Ahmed Fakhry, Zainab Aziz, and Hanan Elhaes. "Modeling and Molecular Spectroscopic Analyses of Cellulose." Journal of Applied Solution Chemistry and Modeling 3, no. 3 (September 19, 2014): 159–63. http://dx.doi.org/10.6000/1929-5030.2014.03.03.3.

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Doh, Saeran. "Game Modeling Using Neural and Behavioral Analyses." Journal of Business 3, no. 1 (April 30, 2018): 1–4. http://dx.doi.org/10.31152/jb.2018.04.3.1.1.

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Tarokh, M., and G. J. McDermott. "Kinematics modeling and analyses of articulated rovers." IEEE Transactions on Robotics 21, no. 4 (August 2005): 539–53. http://dx.doi.org/10.1109/tro.2005.847602.

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Allen, Craig R., L. G. Pearlstine, and W. M. Kitchens. "Modeling viable mammal populations in gap analyses." Biological Conservation 99, no. 2 (June 2001): 135–44. http://dx.doi.org/10.1016/s0006-3207(00)00084-7.

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Kasess, Christian Herbert, Klaas Enno Stephan, Andreas Weissenbacher, Lukas Pezawas, Ewald Moser, and Christian Windischberger. "Multi-subject analyses with dynamic causal modeling." NeuroImage 49, no. 4 (February 2010): 3065–74. http://dx.doi.org/10.1016/j.neuroimage.2009.11.037.

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Tian, Yanling, Yunpeng Liu, Fujun Wang, Xiubing Jing, Dawei Zhang, and Xianping Liu. "Modeling and analyses of helical milling process." International Journal of Advanced Manufacturing Technology 90, no. 1-4 (September 16, 2016): 1003–22. http://dx.doi.org/10.1007/s00170-016-9418-2.

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Elijah, P. T., and M. Obaseki. "Comparative analyses of modeling techniques for cathodic protection." Nigerian Journal of Technology 40, no. 3 (October 20, 2021): 427–36. http://dx.doi.org/10.4314/njt.v40i3.9.

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The investigation in this paper provided an outline of the used scientific models for the cathodic protection frame-work modeling and relatively assessed current modeling strategies. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) investigation was applied in six alternatives and five criteria. Among the criteria, a high criticality was put on the strengths in complex geometries and the unwavering quality of the results. From the study outcomes, it can be established that the best cathodic protection modeling technique considering a number of factors like, the strength in complex geometries like subsea structures, simplicity of use, time allotment required for estimation, industry track record and robustness of the results was the Finite Element Method (FEM) with a score of 0.73 which is a value of relative closeness to the ideal solution of 1. The second best modeling procedure was Boundary Element Method (BEM) having a value of 0.72, while the least cathodic protection modeling method was analytical models with a TOPSIS score of 0.3372. Regardless of FEM rising as the best cathodic protection modeling technique, the significant detriment related with it is the timeframe required for the estimation. Finally, this research concluded by showing different models performance and comparison made with the numerical results. It is expected that the result of this work will be of significant help for the strengthening of the application of TOPSIS for offshore/subsea engineers.

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Klimešová, D. "GIS and the dynamic phenomena modeling." Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (February 17, 2012): 160–64. http://dx.doi.org/10.17221/5011-agricecon.

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Different aspects of the dynamic or temporal of GIS are very frequently discussed and we can register new approaches and applications in this field every week. This paper analyses the possibility of the selected approaches to contribute to the temporal data processing and gives the overview of the most basic ones. The author presented part of these results also at the Agrarian Perspectives Conference 2005 in the applied informatics session. 

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Borstad, Christopher P., and D. M. McClung. "Sensitivity analyses in snow avalanche dynamics modeling and implications when modeling extreme events." Canadian Geotechnical Journal 46, no. 9 (September 2009): 1024–33. http://dx.doi.org/10.1139/t09-042.

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We present the first snow avalanche dynamics model simulations to start in the middle of the avalanche path at the maximum expected speed for an extreme event. We first present a sensitivity analysis of the dynamics model to the various model inputs. A single-parameter Coulomb-type friction formulation is used in the model. This formulation is supported by various experiments and full-scale observations of avalanche flow that demonstrate a coupling between the shear and normal forces in flowing snow. The dynamics model is shown to be most sensitive to changes in the friction coefficient. We suggest that the precision in the friction coefficient necessary to confidently use a dynamics model to predict runout distances is higher than the current state of knowledge about avalanche resistance mechanisms. This result leads to the new modeling technique that starts numerical simulations at the midpoint of the length of the avalanche path at maximum speed. The Coulomb friction coefficient is chosen to produce a unique speed profile from this new starting point at maximum speed to a state of rest at an empirically pre-determined runout position. The technique reproduces the observed sharp deceleration of avalanche flow in the runout zone.

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Laloë, Francis. "Modelling sustainability: from applied to involved modeling." Social Science Information 46, no. 1 (March 2007): 87–107. http://dx.doi.org/10.1177/0539018407073659.

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English Models are used as tools for studying sustainable development. They are a priori neutral, but this neutrality can be upset if the analysis of observations done to answer questions in reference to a given a priori definition of sustainability leads to the identification of sustainability contexts that do not correspond to the initial definition. The practice of actors may for example involve substitution between elements of a natural capital, which may not be in agreement with a strong definition of sustainability. Therefore we may have to consider the need for transition from a prescriptive to a descriptive approach. The context of modelling depends on the object we want to be preserved (what we observe). If this object is a resource-exploitation system, the perception of sustainability comes from observation of the system. The observation process may have been initiated by a mono-disciplinary question, but, sustainability being dependent on an object which must be described, no unique definition can be proposed. The definition and perception of sustainability are themselves processes to which modelling sciences may have to contribute. French Des modèles sont utilisés comme outils dans le contexte des études sur le développement durable. Ils sont a priori neutres, mais cette neutralité peut être mise à mal si des analyses d'observations réalisées pour répondre à des questions posées en référence à une définition donnée de durabilité conduisent à identifier des contextes de durabilité qui ne correspondent pas nécessairement à la définition initialement adoptée. La pratique d'acteurs peut ainsi par exemple reposer sur des substitutions entre éléments d'un capital naturel, ce qui peut ne pas correspondre à une définition très forte de la durabilité. Dans ces conditions on peut discuter du passage d'une approche prescriptive à une approche descriptive. La question du choix d'un contexte de modélisation dépend de l'objet que l'on veut préserver (ce que l'on observe). S'il s'agit d'un système d'exploitation d'une ressource, la perception de la durabilité découle de l'observation du système. Le processus d'observation a pu être initié selon une définition a priori associée à un questionnement souvent "mono-disciplinaire", mais la durabilité étant inféodée à un objet qu'il faut représenter, on ne peut en proposer une définition unique. La définition et la perception de la durabilité sont des processus auxquels les sciences de modélisation peuvent être amenées à contribuer

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Aiello, R. A., and S. Chi. "Advanced Composite Turboprops: Modeling, Structural, and Dynamic Analyses." Journal of Engineering for Gas Turbines and Power 110, no. 2 (April 1, 1988): 306–11. http://dx.doi.org/10.1115/1.3240122.

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This paper presents a structural and dynamic analysis of a scaled-down wind tunnel model prop-fan blade made from fiber composites. This blade is one of a series of prop-fan blades that have been tested at the Lewis Research Center wind tunnel facilities. The blade is highly swept and twisted and of the spar/shell construction. Due to the complexity of the blade geometry and its high performance, it is subjected to much higher loads and tends to be much less stable than conventional blades. The structural and dynamic analyses of the blade were performed using the NASA-Lewis COBSTRAN computer code. COBSTRAN is designed to generate the mesh and calculate the anisotropic material properties for composite blade analysis. Comparison of analytical and experimental mode shapes and frequencies are shown, verifying the model development and analysis techniques used. The methodologies and programs developed for this analysis are directly applicable to other prop-fan blades.

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Hathaway, Eric L., and Farhan S. Gandhi. "Modeling Refinements in Simple Tiltrotor Whirl Flutter Analyses." Journal of the American Helicopter Society 48, no. 3 (July 1, 2003): 186–98. http://dx.doi.org/10.4050/jahs.48.186.

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Li, Yu Chun, and Chen Yu Chang. "Fluid Modeling for Seismic Analyses of Aqueduct Bridges." Applied Mechanics and Materials 405-408 (September 2013): 1978–81. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.1978.

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The aqueduct bridge carries a large amount of water (fluid). How to model fluid is a basic issue in the seismic analysis and design of aqueduct bridges. This paper discusses and summarizes computational methods of fluid for the three-dimensional seismic response analyses. The result of this paper provides a reference for the researchers and engineers, who are interested in seismic-resistance computations of aqueduct bridges.

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Fisher, G. J., and J. A. Connelly. "Modeling Time-Dependent Elements for SPICE Transient Analyses." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 5, no. 3 (July 1986): 429–32. http://dx.doi.org/10.1109/tcad.1986.1270212.

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Lowe, Jason A., Chris D. Hewitt, Detlef P. van Vuuren, Tim C. Johns, Elke Stehfest, Jean-François Royer, and Paul J. van der Linden. "New Study For Climate Modeling, Analyses, and Scenarios." Eos, Transactions American Geophysical Union 90, no. 21 (May 26, 2009): 181–82. http://dx.doi.org/10.1029/2009eo210001.

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Watson, Michael E., Christina F. Rusnock, Michael E. Miller, and John M. Colombi. "Performing System Tradeoff Analyses Using Human Performance Modeling." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 734. http://dx.doi.org/10.1177/1541931213601168.

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Humans perform critical functions in nearly every system, making them vital to consider during system development. Human Systems Integration (HSI) would ideally permit the human’s impact on system performance to be effectively accounted for during the systems engineering (SE) process, but effective processes are often not applied, especially in the early design phases. Failure to properly account for human capabilities and limitations during system design may lead to unreasonable expectations of the human. The result is a system design that makes unrealistic assumptions about the human, leading to an overestimation of the human’s performance and thus the system’s performance. This research proposes a method of integrating HSI with SE that allows human factors engineers to apply Systems Modeling Language (SysML) and human performance simulation to describe and communicate human and system performance. Using these models, systems engineers can more fully understand the system’s performance to facilitate design decisions that account for the human. A scenario is applied to illustrate the method, in which a system developer seeks to redesign an example system, Vigilant Spirit, by incorporating system automation to improve overall system performance. The example begins by performing a task analysis through physical observation and analysis of human subjects’ data from 12 participants employing Vigilant Spirit. This analysis is depicted in SysML Activity and Sequence Diagrams. A human-in-the-loop experiment is used to study performance and workload effects of humans applying Vigilant Spirit to conduct simulated remotely-piloted aircraft surveillance and tracking missions. The results of the task analysis and human performance data gathered from the experiment are used to build a human performance model in the Improved Performance Research Integration Tool (IMPRINT). IMPRINT allows the analyst to represent a mission in terms of functions and tasks performed by the system and human, and then run a discrete event simulation of the system and human accomplishing the mission to observe the effects of defined variables on performance and workload. The model was validated against performance data from the human-subjects’ experiment. In the scenario, six different scan algorithms, which varied in terms of scan accuracy and speed, were simulated. These algorithms represented different potential system trades as factors such as various technologies and hardware architectures could influence algorithm accuracy and speed. These automation trades were incorporated into the system’s block definition (BDD), requirements, and parametric SysML diagrams. These diagrams were modeled from a systems engineer’s perspective; therefore they originally placed less emphasis on the human. The BDD portrayed the structural aspect of Vigilant Spirit, to include the operator, automation, and system software. The requirements diagram levied a minimum system-level performance requirement. The parametric diagram further defined the performance and specification requirements, along with the automation’s scan settings, through the use of constraints. It was unclear from studying the SysML diagrams which automation setting would produce the best results, or if any could meet the performance requirement. Existing system models were insufficient by themselves to evaluate these trades; thus, IMPRINT was used to perform a trade study to determine the effects of each of the automation options on overall system performance. The results of the trade study revealed that all six automation conditions significantly improved performance scores from the baseline, but only two significantly improved workload. Once the trade study identified the preferred alternative, the results were integrated into existing system diagrams. Originally system-focused, SysML diagrams were updated to reflect the results of the trade analysis. The result is a set of integrated diagrams that accounts for both the system and human, which may then be used to better inform system design. Using human performance- and workload-modeling tools such as IMPRINT to perform tradeoff analyses, human factors engineers can attain data about the human subsystem early in system design. These data may then be integrated into existing SysML diagrams applied by systems engineers. In so doing, additional insights into the whole system can be gained that would not be possible if human factors and systems engineers worked independently. Thus, the human is incorporated into the system’s design and the total system performance may be predicted, achieving a successful HSI process.

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Saleh, Noha, Amany A. Mostafa, Amina Omar, Hanan Elhaes, and Medhat Ibrahim. "Molecular Modeling Analyses of Modified Polyvinylalchol/Hydroxyapatite Composite." Journal of Computational and Theoretical Nanoscience 14, no. 5 (May 1, 2017): 2298–301. http://dx.doi.org/10.1166/jctn.2017.6823.

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Holst, J. Mark F. G., Jin Y. Ooi, J. Michael Rotter, and Graham H. Rong. "Numerical Modeling of Silo Filling. I: Continuum Analyses." Journal of Engineering Mechanics 125, no. 1 (January 1999): 94–103. http://dx.doi.org/10.1061/(asce)0733-9399(1999)125:1(94).

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Banks-Sills, Leslie, Rami Eliasi, and Yuri Berlin. "Modeling of functionally graded materials in dynamic analyses." Composites Part B: Engineering 33, no. 1 (January 2002): 7–15. http://dx.doi.org/10.1016/s1359-8368(01)00057-9.

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Kameya, Hiroshi, Hiroyuki Azuma, Shinichi Hiramatsu, Chi-Wen Yu, Chung-Hui Chiaod, and Ming-Wei Yang. "Core Analyses as Tools for Modeling Saline Aquifers." Energy Procedia 37 (2013): 4483–90. http://dx.doi.org/10.1016/j.egypro.2013.06.353.

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Doctor, Pamela G. "Sensitivity and uncertainty analyses for performance assessment modeling." Engineering Geology 26, no. 4 (April 1989): 411–29. http://dx.doi.org/10.1016/0013-7952(89)90025-2.

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Biolek, Dalibor, Zdenek Biolek, Viera Biolkova, and Zdenek Kolka. "Modeling of TiO2memristor: from analytic to numerical analyses." Semiconductor Science and Technology 29, no. 12 (November 13, 2014): 125008. http://dx.doi.org/10.1088/0268-1242/29/12/125008.

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Shvartsburg, Alexandre A., Keqi Tang, and Richard D. Smith. "Modeling the resolution and sensitivity of FAIMS analyses." Journal of the American Society for Mass Spectrometry 15, no. 10 (October 2004): 1487–98. http://dx.doi.org/10.1016/j.jasms.2004.06.018.

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Chen, Tzu-An, Teresia M. O'Connor, Sheryl O. Hughes, Alicia Beltran, Janice Baranowski, Cassandra Diep, and Tom Baranowski. "Vegetable parenting practices scale. Item response modeling analyses." Appetite 91 (August 2015): 190–99. http://dx.doi.org/10.1016/j.appet.2015.04.048.

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Dias, João M. S., and Vítor A. F. Costa. "Adsorption Cooler Design, Dynamic Modeling, and Performance Analyses." Clean Technologies 4, no. 4 (November 3, 2022): 1152–61. http://dx.doi.org/10.3390/cleantechnol4040070.

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This paper presents an adsorption cooler (AC) driven by the surplus heat of a solar thermal domestic hot water system to provide cooling to residential buildings. A cylindrical tube adsorber using granular silica gel as adsorbent and water as adsorbate was considered. The AC was modelled using a two-dimensional distributed parameter model implemented in previous adsorption heating and cooling studies. The performance coefficients of the resultant thermally driven cooling system were obtained for a broad range of working conditions. The thermally driven AC was found to have coefficient of performance (COP) of 0.5 and a specific cooling power (SCP) of 44 W·kg−1 when considering condenser, evaporator, and regeneration temperatures of 30 °C, 15 °C, and 70 °C, respectively. Moreover, the results showed that the AC could be used for refrigeration purposes at temperatures as low as 2 °C and that it could also operate during hotter days under temperatures of 42 °C.

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Yang, Yeon Hee, Yeung Joo Kwon, and Sang Cheoul Lee. "Research Trends Analyses on Public Conflicts through Topic Modeling and Network Analysis." Korean Journal of Local Government Studies 23, no. 3 (November 30, 2019): 427–50. http://dx.doi.org/10.20484/klog.23.3.18.

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Ma, Junda, Guoxin Wang, Jinzhi Lu, Shaofan Zhu, Jingjing Chen, and Yan Yan. "Semantic Modeling Approach Supporting Process Modeling and Analysis in Aircraft Development." Applied Sciences 12, no. 6 (March 17, 2022): 3067. http://dx.doi.org/10.3390/app12063067.

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With the increasing complexity of aircraft development programs, the development processes of aircraft and their subsystems are continuously becoming complicated, leading to the growing risks of development cost across the entire life cycle. In this study, we proposed a model-based systems engineering approach to support process modeling of aircraft development using a multi-architecture modeling language KARMA. Simultaneously, property verification and hybrid automata simulation were used to implement the static cost analysis of each work task and dynamic cost analysis of the entire development process. Finally, a development process model of aircraft avionics system was created using a case study, in which cost analysis is implemented by the KARMA language. From the result, we found that the KARMA language enables the integration of the process modeling with static and dynamic analyses of the development process in a multi-architecture modeling tool MetaGraph 2.0.

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Cheung, Mike W. L. "Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach." Psychological Methods 19, no. 2 (2014): 211–29. http://dx.doi.org/10.1037/a0032968.

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Zheng, Fei, Mei Chen, and Li Wei Song. "Modeling and Analyses of a Complex Airborne Antenna Positioner for Mechanical - Electromagnetic Analyses." Advanced Materials Research 562-564 (August 2012): 1447–50. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1447.

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The deformations of an airborne waveguide slot array antenna and its positioner will finally influence the electromagnetic performances. Due to the complexity of the antenna and its positioner, effective simplification methods have to be taken for their mechanical - electromagnetic analyses. This paper describes the modeling and analyses of a complex airborne antenna positioner. The simplification method proposed not only keeps the structure features fairly exact, but also keeps the antenna to be exact enough for further deformed electromagnetic performance analyses. The modal analysis results of the whole system are close to the actual test results. It reveals that such simplification is reasonable and accurate.

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Niu, Ming Hui, and Joung Hyung Cho. "Ocean Modeling Analysis and Modeling Based on Deep Learning." Mobile Information Systems 2022 (July 30, 2022): 1–6. http://dx.doi.org/10.1155/2022/1019564.

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The ocean comprises an uninterrupted body of salt water confined within a vast basin on the earth’s surface. The ocean is the largest ecosystem on earth with rich and diverse biological resources. Organisms that reside in salty water are referred to as “marine life.” Plants, animals, and microorganisms including archaea and bacteria are examples of these. The existence of marine life is not only a biological resource but also an economic source. Toys and other industries that imitate marine life have emerged in the market. A different modeling design of marine life has improved with the passage of time and the concept of modeling aesthetics has been incorporated. The identification of marine life images is challenging due to the complexity of the maritime environment, and there are several flaws in marine life models. The rise of deep learning has brought some new ideas for the weaknesses in marine life modeling, and the advantages of convolutional neural networks have contributed to some of the concepts based on deep learning. This research analyses marine modeling by using the benefits of convolutional neural networks, so that people can better understand marine life modeling. The experimental results indicate that the proposed approach has achieved good results in marine life detection, and the modeling effect of ocean modeling analysis based on deep learning is good.

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Rezaldi, Muhammad Yudhi, Rabiah Abdul Kadir, Mohamad Taha Ijab, Azlina Ahmad, Didit Widiatmoko Soewardikoen, and Apip Apip. "Identification of Aesthetic Values for Visualization Media of Flood Disaster Modeling." Journal of Visual Art and Design 12, no. 2 (December 31, 2020): 120–31. http://dx.doi.org/10.5614/j.vad.2020.12.2.3.

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Many flood modelings use geovisualization techniques but are very complicated and can only be understood by researchers or practitioners. There is a need for modelings that are informative and can be understood by ordinary people for the purpose of disaster mitigation. This research analyzed a flood modeling geovisualization sample to find out the extent to which aesthetic values are used in that modeling. For breaking down the modeling, an analytical approach was used as well as physioplastic, ideoplastic, and judgment analyses. Then, the modeling was evaluated through a questionnaire that was distributed using Google Forms to 40 respondents with a background as visual communication design students. The questionnaire was presented using closed questions and a visual analogue scale. The aesthetic parameters used for measuring were: lighting, color, two-dimensional field, three-dimensional field, time/motion, and sound. The evaluation results showed that the flood modeling geovisualization sample did not use aesthetics effectively. Modeling representations need to be simplified into visualizations using a well-planned aesthetic concept to make them more informative. Hopefully, the result of this research will make flood modeling more impactful and easier to understand by ordinary people through the application of aesthetic values such as those addressed in the questionnaire.

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Kline, Jeffrey D. "Characterizing Land Use Change in Multidisciplinary Landscape-Level Analyses." Agricultural and Resource Economics Review 32, no. 1 (April 2003): 103–15. http://dx.doi.org/10.1017/s1068280500002537.

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Economists increasingly face opportunities to collaborate with ecologists on landscape-level analyses of socioeconomic and ecological processes. This often calls for developing empirical models to project land use change as input into ecological models. Providing ecologists with the land use information they desire can present many challenges regarding data, modeling, and econometrics. This paper provides an overview of the relatively recent adaptation of economics-based land use modeling methods toward greater spatial specificity desired in integrated research with ecologists. Practical issues presented by data, modeling, and econometrics are highlighted, followed by an example based on a multidisciplinary landscape-level analysis in Oregon's Coast Range mountains.

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Needleman, A. "Computational Modeling of Material Failure." Applied Mechanics Reviews 47, no. 6S (June 1, 1994): S34—S42. http://dx.doi.org/10.1115/1.3124437.

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Analyses of fracture are discussed where the initial-boundary value problem formulation allows for the possibility of a complete loss of stress carrying capacity, with the associated creation of new free surface. No additional failure criterion is employed so that fracture arises as a natural outcome of the deformation process. Two types of analyses are reviewed. In one case, the material’s constitutive description incorporates a model of the failure mechanism; the nucleation, growth and coalescence of microvoids for ductile fracture in structural metals. In some analyses this is augmented with a simple characterization of failure by cleavage to analyze ductile-brittle transitions. The other class of problems involves specifying separation relations for one or more cohesive surfaces present in the continuum. The emphasis is on reviewing recent work on dynamic failure phenomena and the discussion centers around issues of length scales, size effects and the convergence of numerical solutions.

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Moleinia, Zara, and David Bahr. "Multi-Scale Analyses and Modeling of Metallic Nano-Layers." Materials 14, no. 2 (January 18, 2021): 450. http://dx.doi.org/10.3390/ma14020450.

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The current work centers on multi-scale approaches to simulate and predict metallic nano-layers’ thermomechanical responses in crystal plasticity large deformation finite element platforms. The study is divided into two major scales: nano- and homogenized levels where Cu/Nb nano-layers are designated as case studies. At the nano-scale, a size-dependent constitutive model based on entropic kinetics is developed. A deep-learning adaptive boosting technique named single layer calibration is established to acquire associated constitutive parameters through a single process applicable to a broad range of setups entirely different from those of the calibration. The model is validated through experimental data with solid agreement followed by the behavioral predictions of multiple cases regarding size, loading pattern, layer type, and geometrical combination effects for which the performances are discussed. At the homogenized scale, founded on statistical analyses of microcanonical ensembles, a homogenized crystal plasticity-based constitutive model is developed with the aim of expediting while retaining the accuracy of computational processes. Accordingly, effective constitutive functionals are realized where the associated constants are obtained via metaheuristic genetic algorithms. The model is favorably verified with nano-scale data while accelerating the computational processes by several orders of magnitude. Ultimately, a temperature-dependent homogenized constitutive model is developed where the effective constitutive functionals along with the associated constants are determined. The model is validated by experimental data with which multiple demonstrations of temperature effects are assessed and analyzed.

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43

Kansal, Anuraag R., Ying Zheng, Roberto Palencia, Antonio Ruffolo, Bastian Hass, and Sonja V. Sorensen. "Modeling hard clinical end-point data in economic analyses." Journal of Medical Economics 16, no. 11 (September 24, 2013): 1327–43. http://dx.doi.org/10.3111/13696998.2013.838960.

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Bo, GONG, LIN Ji, WANG Yanzhong, and QIAN Jin. "Mechanical Modeling and Analyses of Cytoskeleton and Extracellular Matrix." 应用数学和力学 42, no. 10 (2021): 1024–44. http://dx.doi.org/10.21656/1000-0887.420302.

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Merkulova, Tamara. "Fairness, inequality and economic efficiency: analyses and modeling relationships." Ekonomìčna teorìâ 2016, no. 4 (January 20, 2017): 77–86. http://dx.doi.org/10.15407/etet2016.04.077.

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Riley, Matthew E., and Ramana V. Grandhi. "Quantification of Modeling-Induced Uncertainties in Simulation-Based Analyses." AIAA Journal 52, no. 1 (January 2014): 195–202. http://dx.doi.org/10.2514/1.j052871.

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Xue, Jianping, Thomas McCurdy, Janet Burke, Budhendra Bhaduri, Cheng Liu, James Nutaro, and Lauren Patterson. "Analyses of school commuting data for exposure modeling purposes." Journal of Exposure Science & Environmental Epidemiology 20, no. 1 (February 25, 2009): 69–78. http://dx.doi.org/10.1038/jes.2009.3.

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Holst, J. Mark F. G., J. Michael Rotter, Jin Y. Ooi, and Graham H. Rong. "Numerical Modeling of Silo Filling. II: Discrete Element Analyses." Journal of Engineering Mechanics 125, no. 1 (January 1999): 104–10. http://dx.doi.org/10.1061/(asce)0733-9399(1999)125:1(104).

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DuMouchel, William, David Fram, Zhezhen Jin, Sharon-Lise Normand, Barbara Snow, Sue Taylor, and Richard Tweedie. "P115 Software for exploration and modeling of meta-analyses." Controlled Clinical Trials 18, no. 3 (June 1997): S181. http://dx.doi.org/10.1016/s0197-2456(97)91210-1.

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Misse, Samuel Epesse, Alain Brillard, Jean-François Brilhac, Marcel Obonou, Louis Max Ayina, Cornelius Schönnenbeck, and Sébastien Caillat. "Thermogravimetric analyses and kinetic modeling of three Cameroonian biomass." Journal of Thermal Analysis and Calorimetry 132, no. 3 (March 8, 2018): 1979–94. http://dx.doi.org/10.1007/s10973-018-7108-z.

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Journal articles on the topic 'Modeling analyses'

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