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1

A. Razak, Amir. "Overview of Wind Turbine Modeling in Modelica Language." International Journal of Engineering and Technology 4, no. 5 (2012): 551–53. http://dx.doi.org/10.7763/ijet.2012.v4.430.

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Wang, Haosheng, and Hongen Zhong. "Modeling and Simulation of Spacecraft Power System Based on Modelica." E3S Web of Conferences 233 (2021): 04033. http://dx.doi.org/10.1051/e3sconf/202123304033.

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Spacecraft power system simulation involves the coupling of electrical, thermal and control domains. At present, the modeling and simulation of multi-domain physical system mainly uses the single-domain software to establish a single-domain model, and solves the unified multi-domain modeling and simulation through the interface between the software or using HLA. But it cannot fully support the modeling and simulation of multi-domain physical system, and the model has poor reusability and extensibility. As a multi-domain modeling language, Modelica language supports acausal modelling, unified multi-domain modeling, object-oriented physical modeling and hybrid modeling. So it is widely used in the aerospace area. In this paper, Modelica language is used to establish module library of spacecraft power system on simulation platform MWorks, and the multi-domain simulation model of spacecraft power system is obtained by assembling each sub-model, and the performance of the model is simulated and analyzed so as to achieve the purpose of improving and verifying the model.
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Muller, Pierre-Alain, Frédéric Fondement, Benoît Baudry, and Benoît Combemale. "Modeling modeling modeling." Software & Systems Modeling 11, no. 3 (August 4, 2010): 347–59. http://dx.doi.org/10.1007/s10270-010-0172-x.

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Killeen, Peter R. "MODELING MODELING." Journal of the Experimental Analysis of Behavior 71, no. 2 (March 1999): 275–80. http://dx.doi.org/10.1901/jeab.1999.71-275.

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Winkler, Istvan, Eugene N. Sokolov, John A. Spinks, Risto Naatanen, and Heikki Lyytinen. "Modeling the Modeling." American Journal of Psychology 116, no. 2 (2003): 336. http://dx.doi.org/10.2307/1423590.

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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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Jeong, WoonSeong, Jong Bum Kim, Mark J. Clayton, Jeff S. Haberl, and Wei Yan. "Translating Building Information Modeling to Building Energy Modeling Using Model View Definition." Scientific World Journal 2014 (2014): 1–21. http://dx.doi.org/10.1155/2014/638276.

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This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation intoModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated fromRevit2Modelicaand (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows thatBIM2BEM(1) enables BIM models to be translated intoModelicaBEMmodels, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process.
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Mohammadi, Anahita Malek, and Badaruddin Mohamed. "Convention Decision Making Modeling." International Journal of Trade, Economics and Finance 1, no. 1 (2010): 54–56. http://dx.doi.org/10.7763/ijtef.2010.v1.10.

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Koldovskiy, Artem, and Kateryna Chernega. "Modeling the Ukrainian consumption." Geopolitics under Globalization 2, no. 1 (December 24, 2018): 34–44. http://dx.doi.org/10.21511/gg.02(1).2018.05.

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Consumption is a fundamental determinant of the economic success. Consumer spending is approximately 70 percent of the Gross domestic product (GDP). It is common to divide consumer spending into nondurables (clothing and food), durables (“large” goods, which are not purchased very often), and of course services (day care, banking, medical). The way to identify how the economy influences consumption is to look at specific economic cycles. At the top of the economy (when the economy is strong), people reaction is physically powerful, and consumers spend money freely. When the economy falters, confidence falls; consumers cut back on the spending and conserve their money. They stop buying, getting out of debt and focus on saving money. Understanding consumption is vital to the implementation and development of marketing strategies. The purpose for this empirical research is to review main indicators, which influence on consumption and identify methodological issues in need of resolution, and present possible approaches that may prove helpful in resolving those issues. The growth of interest in modeling consumption has led to behaviorally conceptual models in which selection dynamics play a vital role. The authors introduce two empirical models, which demonstrate correlation between macroeconomic indicators, social factors and Consumer price index (CPI). The first conceptual model shows that the CPI is a straighter measure than per capita Gross domestic product of the standard of living in Ukraine. By including a wide range of thousands of services and goods with the basket (fixed), the CPI can obtain a precise estimate of the cost of living. The second empirical model shows the interdependence of economic indicators (CPI, GDP, and Average wage index (AWI)) and social factors (gender, age, location).
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OBREJA, Serjiu-Gheorghe, and Gavrilă CALEFARIU. "MODELING IN OPERATIONAL RESEARCH." Review of the Air Force Academy 17, no. 2 (December 16, 2019): 57–64. http://dx.doi.org/10.19062/1842-9238.2019.17.2.7.

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Georgiev, Venelin. "Modeling Defense Acquisition Strategy." Connections: The Quarterly Journal 9, no. 4 (2010): 53–68. http://dx.doi.org/10.11610/connections.9.4.04.

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Tong, Z., R. Tang, and Y. Sun. "Product Modeling: From Geometrical Modeling to Logical Modeling." IFAC Proceedings Volumes 25, no. 7 (May 1992): 335–40. http://dx.doi.org/10.1016/s1474-6670(17)52387-3.

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Yang, Jin Dian, Qin He Zhang, Dong Ding, and Hai Jiao Wang. "Design and Development of Automated Tire FE Modeling Procedure." Applied Mechanics and Materials 635-637 (September 2014): 493–96. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.493.

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The paper addresses a modelling procedure to automatically generate 2D finite element meshes of tires, together with the assignment of material property. A program is developed based on the secondary development of HyperMesh with TCL/TK language, thus achieving the automatic FE modelling starting from the AutoCAD tire cross-section profile. The model created as input file can be exported into ABAQUS directly. By automatizing the modeling process, the program can significantly reduce the modeling time and improve modeling efficiency.
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Tian, Guang Shu, and Li Chen Zhang. "Multi-Domain Modeling and Co-Simulation Based on Modelica and Simulink." Applied Mechanics and Materials 596 (July 2014): 927–30. http://dx.doi.org/10.4028/www.scientific.net/amm.596.927.

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A co-simulation solution based on multi-domain modeling with Modelica is proposed to achieve the co-simulation of multi-domain modeling and simulation environment with other simulation environment . Based on the connection mechanism of multi-domain Modelica models the co-simulation under S-function co-simulation framework is implemented using the converting principle between Modelica models and Simulink modules. A co-simulation example between MWorks which is a multi-domain physical system modeling and simulation tool based on Modelica and AMESim indicates that the method can extend the application of Modelica models and achieve the collaborative work with multi-domain modeling and simulation tools and other simulation software.
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Tyson, Stephen, and Joost Herweijer. "Knowledge management and 3D modelling: overview and application to iterative 3D modelling workflows." APPEA Journal 51, no. 2 (2011): 683. http://dx.doi.org/10.1071/aj10063.

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As 3D reservoir modeling is effectively the centre stage in many multi-disciplinary reservoir management efforts, the need for effective knowledge management is paramount to ensure: Inclusion of pre-existing knowledge is in the model, including absent (or controversial knowledge), reflected in uncertainties. A definition of a modeling process comprehensively covers the reservoirs issues identified while leading to fit for purpose results in a given imposed time span. Storage of knowledge generated and a modeling audit trail during the modeling process to ensure adequate and efficient model updates over time. Creation of a link between the integrated modeling process and the discipline processes that generate the basic data that underpin the model Current 3D modelling methods and tools allow for creation of models and storing model specific workflows (i.e. software related parameters and processing chains). In addition, various efforts are undertaken to store modelling best practice, which typically entails general know-how about creating models. During a specific 3D modelling project, however, a considerable body of knowledge is generated about what and what not makes the model work for a given reservoir. Such knowledge, which are essential for systematic uncertainty assessment during an existing modelling effort or subsequent modelling efforts, needs to be managed in order to retain its relevance. This extended abstract focuses on application of knowledge management in the EP industry, particularly on how process or workflow-based knowledge management approaches add value in the context of 3D modeling projects for multidisciplinary reservoir management.
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Setyawan, David Ari. "Implementation Of Modelling Techniques Of Group Guidance Service to Develop the Student’s Attitudes." KONSELING EDUKASI "Journal of Guidance and Counseling" 6, no. 2 (November 10, 2022): 243. http://dx.doi.org/10.21043/konseling.v6i2.17053.

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<p class="06IsiAbstrak"><strong>Implementation Of Modelling Techniques Of Group Guidance Service to Develop the Student’s Attitudes</strong><strong>. </strong>In this counseling guidance has aim to describe group guidance with modeling techniques in developing students' attitudes toward teachers. The method used in this paper is the successful application of the modeling technique group guidance services to develop students' attitudes toward teachers, the application of modeling techniques using group guidance. The target or application of the modeling technique group guidance service is the students. For guidance and counseling teachers, they should continue to explore counseling approaches and provide group guidance on modeling techniques for overcoming the attitude problems of students.</p><strong>Keywords:</strong> Group Guidance, Attitude Modelling Techniques
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17

Kalmykova, E., and G. Rogozinsky. "Modeling Method of Time-Based Sound Effects." Telecom IT 7, no. 3 (December 31, 2019): 37–42. http://dx.doi.org/10.31854/2307-1303-2019-7-3-37-42.

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The paper presents the approach to modeling design of time-based sound effects. The Clavia Nord Modular G2 synthesizer was chosen as a main object of modeling. As a programming media, we use open source and multiplatform language Csound. The paper also gives an example of Flanger effect modelling.
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Lafossas, F. A., C. Habchi, P. Beard, D. Broseta, and F. Bertoncini. "Multicomponent Gasoline Modeling : Influence on Combustion and Knock Occurrence in a Direct Injection Engine(S.I. Engines, G.D.I. Modelling)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 529–36. http://dx.doi.org/10.1299/jmsesdm.2004.6.529.

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Yang, Wei. "The Applications of Specific Forms in Modelling Design of Industrial Product." Applied Mechanics and Materials 373-375 (August 2013): 2068–72. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.2068.

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If all the elements of modelling of industrial product are similar and one is different in form,it will stand out and become specific form. The internal structure, semantic function, use function and aesthetic function are the existing theoretic foundation. The applications of specific form in modeling design of industrial product include the application of specific forms of morphological attribute in modeling design,the application of specific forms of modeling techniques in modeling design, the application of specific forms of deformation in modeling design and the application of specific forms of image in modeling design.
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Jannah, Anis Rosatil, Husnul Khotimah, Sri Astutik Andayani, Kholisotin Kholisotin, and Abdul Hamid. "Metode Stimulasi dan Metode Modeling terhadap Cara Menggosok Gigi yang Benar pada Anak Prasekolah." Jurnal Keperawatan Jiwa 8, no. 2 (May 1, 2020): 139. http://dx.doi.org/10.26714/jkj.8.2.2020.139-146.

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Penyakit gigi dapat mempengaruhi kesehatan tubuh, jika dibiarkan akan berdampak pada penyakit yang lebih berbahaya, seperti: serangan jantung, stroke, diabetes, infeksi pernafasan, gastrointestinal dll. Salah satu upaya meningkatkan keterampilan cara menggosok gigi pada anak adalah melalui cara atau metode stimulasi dan modeling. Tujuan penelitian ini adalah untuk mengetahui pengaruh penyuluhan tentang kebersihan gigi dan mulut melalui metode stimulasi dan modeling terhadap cara menggosok gigi yang benar pada anak prasekolah di TK Bina Ana Prasa. Desain Penelitian ini yaitu Quasi Eksperimen dengan pendekatan two group pre-post test design dengan jumlah sampel yaitu 80 orang, untuk metode stimulasi sebanyak 40 responden dan untuk metode modeling sebanyak 40 responden dengan menggunakan Purposive Sampling. Teknik pengumpulan data menggunakan lembar observasi. Analisa data menggunakan uji statistik Uji Wilcoxon dan Mann-Whitney. Uji Wilcoxon pada kelompok stimulasi didapatkan nilai r = 0,000. Sedangkan pada kelompok modeling didapatkan nilai nilai r = 0,000. Dan untuk membandingkan kelompok stimulasi dan modeling menggunakan Uji Mann-Whitney dengan hasil r = 0,000, Jadi dapat disimpulkan bahwa dengan metode stimulasi dan modeling dapat meningkatkan perilaku dan keterampilan anak untuk menggosok gigi yang benar. Dan dari hasil observasi stimulasi dan modeling itu lebih efektif yang modeling. Kata kunci: modeling, enggosok gigi, stimulasi METHOD OF STIMULATION AND MODELING METHOD OF HOW TO SCROLT THE CORRECT DENTAL IN PRESCHOOL CHILDREN ABSTRACTDental diseases can affect the health of the body, if left unchecked it will have an impact on more dangerous diseases, such as: heart attack, stroke, diabetes, respiratory infections, gastrointestinal etc. The purpose of this research is to determine the effect of dental and oral hygine counselling throungh stimulation and modelling methods toward how to brush teeth properly in preschool children at TK Bina Ana Prasa. The design of this research is quasi eksperiment with a two group pre-post test design approach with sample size of 80 people, for stimulation methods for about 40 respondents and for the modelling method as many as 40 respondents using purposive sampling. Data collection techniques use observation sheets. using wilcoxon and mann-whitney test statistics. The data analysis used was wilcoxon test in the stimulation group obtained p value = 0,000. while in the modelling group the value p = 0,000. And to compare stimulation and modelling group using the mann-whitney test with the result of p = 0,000, So it can be concluded that stimulation and modeling methods can improve children's behavior and skills to brush their teeth properly. And from the results of observation of stimulation and modeling it is more effective modeling. Keywords: modeling, brush teeth, stimulation
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Proß, Sabrina, and Bernhard Bachmann. "An Advanced Environment for Hybrid Modeling of Biological Systems Based on Modelica." Journal of Integrative Bioinformatics 8, no. 1 (March 1, 2011): 1–34. http://dx.doi.org/10.1515/jib-2011-152.

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Summary Biological systems are often very complex so that an appropriate formalism is needed for modeling their behavior. Hybrid Petri Nets, consisting of time-discrete Petri Net elements as well as continuous ones, have proven to be ideal for this task. Therefore, a new Petri Net library was implemented based on the object-oriented modeling language Modelica which allows the modeling of discrete, stochastic and continuous Petri Net elements by differential, algebraic and discrete equations. An appropriate Modelica-tool performs the hybrid simulation with discrete events and the solution of continuous differential equations. A special sub-library contains so-called wrappers for specific reactions to simplify the modeling process.The Modelica-models can be connected to Simulink-models for parameter optimization, sensitivity analysis and stochastic simulation in Matlab.The present paper illustrates the implementation of the Petri Net component models, their usage within the modeling process and the coupling between the Modelica-tool Dymola and Matlab/Simulink. The application is demonstrated by modeling the metabolism of Chinese Hamster Ovary Cells.
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EDMONDS, SCOTT MOSS BRUCE. "MODELING ECONOMIC LEARNING AS MODELING." Cybernetics and Systems 29, no. 3 (April 1998): 215–47. http://dx.doi.org/10.1080/019697298125696.

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Sappington, Julie, and Jane H. Kelley. "Modeling and Role-Modeling Theory." Journal of Holistic Nursing 14, no. 2 (June 1996): 130–41. http://dx.doi.org/10.1177/089801019601400205.

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Khwaja, Mohammed, Sumer S. Vaid, Sara Zannone, Gabriella M. Harari, A. Aldo Faisal, and Aleksandar Matic. "Modeling Personality vs. Modeling Personalidad." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, no. 3 (September 9, 2019): 1–24. http://dx.doi.org/10.1145/3351246.

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Jeffrey, Jeffrey, Didi Widya Utama, and Gatot Soeharsono. "RANCANG BANGUN KONTRUKSI DAN SISTEM GERAK SUMBU PADA MESIN FUSED DEPOSITION MODELLING." POROS 14, no. 2 (September 20, 2017): 99. http://dx.doi.org/10.24912/poros.v14i2.842.

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Abstract: Fused Deposition Modelling (FDM) is a technology additive manufacture for modelling, prototyping, and production. This technology is one of the techniques used for 3D printers. Our focus is on studying, design machines fused deposition with 3D modeling and simulation with autodesk inventor and other design tools. Design is done by simulating the strength of the construction and then determine the components needed. We are making fused deposition modeling is intended as a prototype in order to understand how it works and how to innovate in the development of fused deposition modeling. The results of the design in the form of a fused depositon modeling that is able to create physical models
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Li, Zhi Hua, Hong Guang Yang, Jun Yu, and You Ping Gong. "Modeling and Simulation of the PMSM-Precision Reducer System with Modelica." Applied Mechanics and Materials 201-202 (October 2012): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.202.

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There is still lack of effective modeling and simulation method for complex electromechanical coupling system. Modelica is a multi-domain unified modeling language to solve the modeling and simulation problems of the complex and heterogeneous physical systems. Dymola is a Modelica-based modeling and simulation platform for the complex physical systems. In this paper, the dynamics model of the permanent magnet synchronous motor (PMSM)-precision reducer system is established using Lagrange-Maxwell equation. The simulation model of this system is set up with Modelica language. The simulation of the system is realized in Dymola. Results show that the system can respond to good static and dynamic characteristics under a given speed for different loads. The dynamics model of the PMSM-precision reducer system can be further used in system control and optimization. The proposed modeling and simulation method based on Modelica may be commonly applied to other complex electromechanical systems.
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Ganieva, Shodiya Azizovna. "About The Universality Of Modeling." American Journal of Social Science and Education Innovations 03, no. 03 (March 27, 2021): 261–64. http://dx.doi.org/10.37547/tajssei/volume03issue03-38.

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Egorova, O., M. Savchenko, I. Hagiwara, and V. Savchenko. "MODELING OF MESH QUALITY PARAMETERS." Proceedings of The Computational Mechanics Conference 2004.17 (2004): 369–70. http://dx.doi.org/10.1299/jsmecmd.2004.17.369.

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Hirai, S., and S. Tomokuni. "Dynamic Modeling of Rheological Deformation." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2004 (2004): 85. http://dx.doi.org/10.1299/jsmermd.2004.85_2.

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Gotlib, Dariusz, and Robert Olszewski. "From conceptual modeling to a map." Proceedings of the ICA 1 (May 16, 2018): 1–5. http://dx.doi.org/10.5194/ica-proc-1-49-2018.

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Nowadays almost every map is a component of the information system. Design and production of maps requires the use of specific rules for modeling information systems: conceptual, application and data modelling. While analyzing various stages of cartographic modeling the authors ask the question: at what stage of this process a map occurs. Can we say that the “life of the map” begins even before someone define its form of presentation? This question is particularly important at the time of exponentially increasing number of new geoinformation products. During the analysis of the theory of cartography and relations of the discipline to other fields of knowledge it has been attempted to define a few properties of cartographic modeling which distinguish the process from other methods of spatial modeling. Assuming that the map is a model of reality (created in the process of cartographic modeling supported by domain-modeling) the article proposes an analogy of the process of cartographic modeling to the scheme of conceptual modeling presented in ISO 19101 standard.
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PEREIRA REMELHE, MANUEL A., and SEBASTIAN ENGELL. "COMBINING MODELICA MODELS WITH DISCRETE EVENT FORMALISMS FOR SIMULATION USING THE DES/M ENVIRONMENT." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 349–55. http://dx.doi.org/10.1142/s0218194005001999.

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Technical systems that include complex physical dynamics as well as extensive discrete event control, require powerful modeling and simulation techniques. As the most adequate means for modeling hybrid physical systems, we advocate the use of object-oriented modeling languages such as Modelica. However, the discrete event models often require the use of dedicated graphical editors that cannot be defined appropriately using Modelica. The purpose of the DES/M modeling environment [10] is to provide such editors for different discrete event formalisms and to translate discrete event models automatically into Modelica components such that a discrete event controller can be integrated easily into Modelica models and simulated using standard Modelica software tools. This contribution presents the main concepts used for the representation of several discrete event formalisms in the Modelica language and discusses the class of discrete event formalisms that can be supported by the DES/M environment.
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Pan, Xiao Yang, and Xiao Jia Wei. "Virtual Reality Technology Applied in Automobile Modeling Design." Applied Mechanics and Materials 620 (August 2014): 154–57. http://dx.doi.org/10.4028/www.scientific.net/amm.620.154.

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it is to make the designers for the virtual reality technology application in automobile modeling have a certain understanding, By comparing the traditional car model making process and the latest virtual technology . Compared with Industrial Modelling Design of Automobiles and Man-Machine Engineering, the VRT could save enormous manpower and the material resources. Futhermore, it has a revolutionary change in the aspects of modeling precision and modifiability. it provides technical direction for Automobile Modeling.
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Khokhlov, Nikolai Igorevich, Vladislav O. Stetsyuk, and Ivan A. Mitskovets. "Overset grids approach for topography modeling in elastic-wave modeling using the grid-characteristic method." Computer Research and Modeling 11, no. 6 (December 2019): 1049–59. http://dx.doi.org/10.20537/2076-7633-2019-11-6-1049-1059.

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Tao, Feng, Sukhin Srinivas, Rolf D. Reitz, and David E. Foster. "Current status of soot modeling applied to diesel combustion simulations(Diesel Engines, Combustion Modeling I)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 151–57. http://dx.doi.org/10.1299/jmsesdm.2004.6.151.

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Yang, Qi Rui, Lin Hua Piao, and Wen Jie Tian. "Modeling and Simulation of Airflow Omnibearing Posture Sensor." Advanced Materials Research 889-890 (February 2014): 817–20. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.817.

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In order to improve the performance of sensor, Using ANSYS software, the three-dimensional finite element modelling method and simulation results of micromachined airflow omnibearing level posture sensor are presented. The results show that: (1)Using the sense organ’s symmetry characteristic, a half model is built first, which is convenient for modelling and observing the simulation results;(2) Gridding should be meshed more densely where fluid grads is large, which is helpful of saving simulation time and improving precision. Compared to two-dimensional modeling, the simulation results of three-dimensional modeling are more comprehensive and exact, which provides dependable basis for further research of the sensor.
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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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37

Papajorgji, Petraq, François Pinet, A. Miralles, E. Jallas, and P. M. Pardalos. "Modeling." International Journal of Agricultural and Environmental Information Systems 1, no. 1 (January 2010): 1–25. http://dx.doi.org/10.4018/jaeis.2010101301.

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Enterprise information systems in agriculture and environment are becoming more complex and difficult to design and implement. This paper aims to show our vision on using model-based approaches to design complex and flexible agricultural and environmental information systems. At the center of this modeling approach is the Unified Modeling Language that facilitates expressing visually concepts of a problem domain and their relationships. UML has a core of notations that are generic and that can be used to model problems in any domain but can be extended to create profiles in order to take into consideration modeling concerns in a particular problem domain. UML profiles are created to use UML in designing spatial systems, ontologies, model driven architecture-based systems and Web-based systems and a recent profile makes it possible to use UML for business modeling purposes. UML is used to present design patterns; their use is crucial in designing complex and flexible information systems. Recently, UML is enriched with Object Constraint Language that is used to express constraints on modeling artifacts. The paper presents the state of the art in modeling agricultural and environmental systems and provides discussions for future directions.
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38

Pastides, Harris. "Modeling." Journal of Ambulatory Care Management 9, no. 4 (November 1986): 46–52. http://dx.doi.org/10.1097/00004479-198611000-00007.

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39

Zeevi, Assaf, and Alexander Goldenshluger. "modeling." Annals of Statistics 29, no. 2 (April 2001): 417–44. http://dx.doi.org/10.1214/aos/1009210547.

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40

Iyengar, Ravi. "Modeling." Cell 107, no. 3 (November 2001): 289–90. http://dx.doi.org/10.1016/s0092-8674(01)00564-5.

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41

Benedicenti, Luigi, Giancarlo Succi, and Tullio Vernazza. "From process modeling to domain modeling." ACM SIGAPP Applied Computing Review 5, no. 2 (September 1997): 28–32. http://dx.doi.org/10.1145/297075.297087.

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42

Reid, John D. "Admissible modeling errors or modeling simplifications?" Finite Elements in Analysis and Design 29, no. 1 (May 1998): 49–63. http://dx.doi.org/10.1016/s0168-874x(98)00014-6.

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43

Au, Eric H., Anna Francis, Amelie Bernier-Jean, and Armando Teixeira-Pinto. "Prediction modeling—part 1: regression modeling." Kidney International 97, no. 5 (May 2020): 877–84. http://dx.doi.org/10.1016/j.kint.2020.02.007.

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44

Cohen-Or, Daniel, and Hao Zhang. "From inspired modeling to creative modeling." Visual Computer 32, no. 1 (January 2016): 7–14. http://dx.doi.org/10.1007/s00371-015-1193-9.

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45

Ertas, A., and T. J. Kozik. "A Review of Current Approaches to Riser Modeling." Journal of Energy Resources Technology 109, no. 3 (September 1, 1987): 155–60. http://dx.doi.org/10.1115/1.3231341.

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The purpose of this paper is to review the progress made during the past two decades towards the structural modeling and the numerical approaches of a more realistic riser analysis. Two or three-dimensional, linear or nonlinear, either static or dynamic riser modelings are reviewed. Suitable numerical solution techniques for different kinds of modelings are discussed and compared.
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46

Hirasawa, Taro. "OS24-6 Scale Modeling of Heat Transfer on Solid Sphere under Vacuum Circumstance(Scale modeling on heat and mass transfer,OS24 Scale modeling,FLUID AND THERMODYNAMICS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 294. http://dx.doi.org/10.1299/jsmeatem.2015.14.294.

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47

Anikeyev, S. H., S. M. Bahriy, and B. B. Hablovskiy. "SIMULATION MODELLING IN THE STRUCTURAL GRAVITY PROSPECTING." Prospecting and Development of Oil and Gas Fields, no. 2(71) (June 25, 2019): 38–48. http://dx.doi.org/10.31471/1993-9973-2019-2(71)-38-48.

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In accordance with the purpose of geophysical exploration, the gravity data interpretation is aimed at prospecting mineral resources which is based on the study of the geological cross-section structure. The task of quantitative interpretation, which uses methods of gravity modeling and gravity inversion, is the modelling of a gravity field (gravity modeling) and of a density structure of geological environments (gravity inversion). The article presents the definition and steps of the gravity data modelling technique. This technique is based on the construction of an informal sequence of equivalent solutions. The technological and geological features of methods for modelling the density structure of complex geological environments are given; among them geological content, consistency with a priori data and the subordination of modelling to geological hypotheses are important. The topicality and methods of simulation modelling are outlined. The purpose of simulation modelling is to study the properties of gravity inversion in the general formulation, as well as to evaluate the degree of detail and reliability of the methods and technologies of gravity modelling, which claim to be an effective solution to geological problems. The example of structural simulation testing of the methods of informal sequence of equivalent solutions and its computer technologies shows that a complex interpretation of seismic and gravity measurements data enables the creation of detailed density models of structural cross-sections. The ways of increasing the veracity of gravity data modelling of structural cross-sections have been studied. It is revealed that the best approximation of the regional background is an inclined plane which approximates the observed field of gravity according to characteristic pickets over the research areas that are better studied. The increase in the veracity of modeling can also be achieved by rebuilding the near side zones in the structural type models in an interactive process of solving structural gravity inversion problems. Substantive modeling depends primarily on the experience of the interpreter since computer technologies for gravity modeling and gravity inversion are merely an interpretation tool.
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48

Benzer, Ali Ihsan, and Bunyamin Yildiz. "THE EFFECT OF COMPUTER-AIDED 3D MODELING ACTIVITIES ON PRE-SERVICE TEACHERS’ SPATIAL ABILITIES AND ATTITUDES TOWARDS 3D MODELING." Journal of Baltic Science Education 18, no. 3 (June 10, 2019): 335–48. http://dx.doi.org/10.33225/jbse/19.18.335.

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The computer-aided 3D modelling which is one of the innovative technologies can offer great opportunities to improve students' skills. The aim of this research was to examine the effects of computer-aided 3D modeling activities on pre-service teachers’ spatial abilities and attitudes towards 3D modeling and the relevant course. The study group of the research was composed of 55 pre-service IT teachers at a state university in Turkey. The research was carried out in quasi-experimental design based on pre-post test model. The experimental research was carried out with the experimental group for 14 weeks. During the 3D modeling learning/teaching process, a five-stage education framework based on problem-based and project-based learning approaches was used. "Purdue Visualization of Rotations Test" and "Attitude Scale towards 3D Modeling and 3D Modeling Course" were used as data collection tools in the research. As a result, it was found out that computer-aided 3D modeling activities improved the spatial abilities of pre-service teachers also increased their attitudes towards 3D modeling and the course. It was concluded that the education of computer-aided three-dimensional modeling offers important opportunities to improve spatial abilities. Keywords: 3D modeling education, 3D modeling, 3D modeling attitude, pre-service teachers, spatial ability.
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Baklanov, Alexander, Dominik Brunner, Gregory Carmichael, Johannes Flemming, Saulo Freitas, Michael Gauss, Øystein Hov, et al. "Key Issues for Seamless Integrated Chemistry–Meteorology Modeling." Bulletin of the American Meteorological Society 98, no. 11 (November 1, 2017): 2285–92. http://dx.doi.org/10.1175/bams-d-15-00166.1.

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Abstract Online coupled meteorology–atmospheric chemistry models have greatly evolved in recent years. Although mainly developed by the air quality modeling community, these integrated models are also of interest for numerical weather prediction and climate modeling, as they can consider both the effects of meteorology on air quality and the potentially important effects of atmospheric composition on weather. This paper summarizes the main conclusions from the “Symposium on Coupled Chemistry–Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research,” which was initiated by the European COST Action ES1004 “European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem).” It offers a brief review of the current status of online coupled meteorology and atmospheric chemistry modeling and a survey of processes relevant to the interactions between atmospheric physics, dynamics, and composition. In addition, it highlights scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for three main application areas: air quality, meteorology (including weather prediction), and climate modeling. It presents a synthesis of scientific progress in the form of answers to nine key questions, and provides recommendations for future research directions and priorities in the development, application, and evaluation of online coupled models.
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Nurfaizah, Nurfaizah, and Romlah Romlah. "Keberhasilan Mengembangkan Sosial AUD Melalui Teknik Modeling." Al-Athfaal: Jurnal Ilmiah Pendidikan Anak Usia Dini 3, no. 1 (June 27, 2020): 56–68. http://dx.doi.org/10.24042/ajipaud.v3i1.6654.

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Penelitian ini bertujuan untuk menganalisis mengenai pelaksanaan teknik modelling untuk mengembangkan kemampuan sosial anak usia 5-6 tahun. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan mendeskripsikan teknik modeling yang digunakan untuk mengetahui perkembangan kemampuan sosial. Dalam penelitian ini menggunakan teknik pengumpulan data diantaranya ialah wawancara, observasi dan dokumentasi yang dilaksanakan di TK 'Aisyiyah Bustanul Athfal 1 Bandar Lampung. Berdasarkan hasil penelitian, dapat disimpulkan bahwa guru/model dikelas B2 menggunakan beberapa tahapan dalam proses modeling, meliputi: perhatian, pemberian stimulus, production, motivasi dan penguatan. Melalui tahapan-tahapan tersebut ternyata memudahkan model/guru untuk mengembangkan sosial kelas B2. Teknik modeling dalam mengembangkan kemampuan sosial peserta didik dikatakan efektif dalam rangka membina, mengembangkan bahkan meningkatkan kualitas kemampuan sosial peserta didik.
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