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Journal articles on the topic 'Modeling domain'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

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 m

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Bonino, Dario, and Fulvio Corno. "DoMAIns: Domain-based modeling for Ambient Intelligence." Pervasive and Mobile Computing 8, no. 4 (2012): 614–28. http://dx.doi.org/10.1016/j.pmcj.2011.10.009.

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Ju, Hyunjun, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, and Hwanjo Yu. "Multi-Domain Recommendation to Attract Users via Domain Preference Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 8 (2024): 8582–90. http://dx.doi.org/10.1609/aaai.v38i8.28702.

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Recently, web platforms are operating various service domains simultaneously. Targeting a platform that operates multiple service domains, we introduce a new task, Multi-Domain Recommendation to Attract Users (MDRAU), which recommends items from multiple ``unseen'' domains with which each user has not interacted yet, by using knowledge from the user's ``seen'' domains. In this paper, we point out two challenges of MDRAU task. First, there are numerous possible combinations of mappings from seen to unseen domains because users have usually interacted with a different subset of service domains.

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Hoppenbrouwers, S. J. B. A., A. I. Bleeker, and H. A. Proper. "Facing the Conceptual Complexities in Business Domain Modeling." Computing Letters 1, no. 2 (2005): 59–67. http://dx.doi.org/10.1163/1574040054047577.

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This position paper focuses on business domain modeling as part of requirements engineering in software development projects. Domain modeling concerns obtaining and modeling the language (concepts, terminologies; ontologies) used by stakeholders to talk about a domain. Achieving conceptual clarity and consensus among stakeholders is an important yet often neglected part of requirements engineering. Domain modeling can play a key role in supporting it. This does, however, require a nuanced approach aspects of language and language change in domain modeling as well as ambition management concern

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Hoppenbrouwers, S. J. B. A., A. I. Bleeker, and H. A. Proper. "Facing the Conceptual Complexities in Business Domain Modeling." Computing Letters 1, no. 3 (2005): 107–15. http://dx.doi.org/10.1163/1574040054861258.

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This position paper focuses on business domain modeling as part of requirements engineering in software development projects. Domain modeling concerns obtaining and modeling the language (concepts, terminologies; ontologies) used by stakeholders to talk about a domain. Achieving conceptual clarity and consensus among stakeholders is an important yet often neglected part of requirements engineering. Domain modeling can play a key role in supporting it. This does, however, require a nuanced approach aspects of language and language change in domain modeling as well as ambition management concern

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6

France, Robert, and Bernhard Rumpe. "Domain specific modeling." Software & Systems Modeling 4, no. 1 (2005): 1–3. http://dx.doi.org/10.1007/s10270-005-0078-1.

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

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Baker, William P., Carleton "Buck" Jones, and Elizabeth Hull. "Modeling Protein Domain Function." Science Activities: Classroom Projects and Curriculum Ideas 44, no. 2 (2007): 43–46. http://dx.doi.org/10.3200/sats.44.2.43-46.

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Ressia, Jorge, Alexandre Bergel, Oscar Nierstrasz, and Lukas Renggli. "Modeling Domain-Specific Profilers." Journal of Object Technology 11, no. 1 (2012): 5:1. http://dx.doi.org/10.5381/jot.2012.11.1.a5.

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Simos, Mark A. "Organization domain modeling (ODM)." ACM SIGSOFT Software Engineering Notes 20, SI (1995): 196–205. http://dx.doi.org/10.1145/223427.211845.

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Fischer, K., N. Kuhn, H. J. M�ller, and J. P. M�ller. "Modeling the transportation domain." Computational Economics 8, no. 2 (1995): 81–93. http://dx.doi.org/10.1007/bf01299711.

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12

TEN, T., and T. KAN. "Auction Modeling by Domain Driven Design Philosophy." Вестник Карагандинского экономического университета, no. 4(71) (December 23, 2023): 16–19. https://doi.org/10.52445/bkeu.2023.31.58.003.

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This article discusses modeling according to the philosophy of Domain Driven Design. The concept of a domain model. Investigation of the subject area and selection of limited contexts. В статье рассматривается моделирование по философии Domain Driven Design, понятие доменной модели, исследование предметной области и выделение ограниченных контекстов. Осы мақалада Domain Driven Design философиясы бойынша модельдеу, домен үлгісінің тұжырымдамасына сәйкес модельдеу, нысанды саланы зерттеу және шектелген контексттерді айқындау қарастырылады.

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Bera, Palash, Anna Krasnoperova, and Yair Wand. "Using Ontology Languages for Conceptual Modeling." Journal of Database Management 21, no. 1 (2010): 1–28. http://dx.doi.org/10.4018/jdm.2010112301.

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Conceptual models are used to support understanding of and communication about application domains in information systems development. Such models are created using modeling grammars (usually employing graphic representation). To be effective, a grammar should support precise representation of domain concepts and their relationships. Ontology languages such as OWL emerged to define terminologies to support information sharing on the Web. These languages have features that enable representation of semantic relationships among domain concepts and of domain rules, not readily possible with extant

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STURM, ARNON, DOV DORI, and ONN SHEHORY. "THE APPLICATION-BASED DOMAIN ANALYSIS APPROACH AND ITS OBJECT-PROCESS METHODOLOGY IMPLEMENTATION." International Journal of Software Engineering and Knowledge Engineering 18, no. 08 (2008): 1115–42. http://dx.doi.org/10.1142/s0218194008004045.

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Domain engineering can simplify the development of software systems in specific domains. During domain analysis, the first step of domain engineering, the domain is modeled at an abstract level, providing guidelines for modeling applications within that domain. Drawbacks of existing domain analysis approaches include poor guidelines for domain-specific application modeling, insufficient validations capability, and limited usability. In this paper we apply the Application-based Domain Modeling (ADOM) to the Object-Process Methodology (OPM). This application requires the extension of OPM with a

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LUNG, CHUNG-HORNG, JEFFERY K. COCHRAN, GERALD T. MACKULAK, and JOSEPH E. URBAN. "COMPUTER SIMULATION SOFTWARE REUSE BY GENERIC/SPECIFIC DOMAIN MODELING APPROACH." International Journal of Software Engineering and Knowledge Engineering 04, no. 01 (1994): 81–102. http://dx.doi.org/10.1142/s0218194094000052.

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Software reuse has drawn much attention in computing research. Domain analysis is considered a prerequisite to effective reuse of existing software. Several approaches and methodologies have been proposed for domain analysis or domain modeling, but not many case studies have been reported in the literature. The first objective of this paper is to present the concept and practical experiences of a domain analysis approach in discrete-event simulation in manufacturing — generic /specific modeling. A second objective of this paper is to present a meta-model based on the generic/ specific approach

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Jia, Pengyue, Yichao Wang, Shanru Lin, et al. "D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 8 (2024): 8553–61. http://dx.doi.org/10.1609/aaai.v38i8.28699.

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To enhance the efficacy of multi-scenario services in industrial recommendation systems, the emergence of multi-domain recommendation has become prominent, which entails simultaneous modeling of all domains through a unified model, effectively capturing commonalities and differences among them. However, current methods rely on manual domain partitioning, which overlook the intricate domain relationships and the heterogeneity of different domains during joint optimization, hindering the integration of domain commonalities and differences. To address these challenges, this paper proposes a unive

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Liu, Yang, Fu Ting Bao, and Hai Feng Hu. "Research on Multi-Domain Unified Modeling and Simulation of a Micro Electro-Thermal Actuator." Advanced Materials Research 139-141 (October 2010): 1570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1570.

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Referring to the natures of nonlinear dynamics and coupled energy domains presented by Micro-Electro-Mechanical Systems (MEMS), a multi energy domain unified simulation language (modelica) based coupled modeling and simulation methodology is put forward. Then by choosing a micro electro-thermal actuator as the example, corresponding multi energy domain unified modeling and simulation processes of such a coupled micro device, which covers mechanical energy domain, electric energy domain and thermal energy domain, show the efficiency and convenience of this advanced modeling method. At last, thr

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18

Broggini, Filippo, Marlies Vasmel, Johan O. A. Robertsson, and Dirk-Jan van Manen. "Immersive boundary conditions: Theory, implementation, and examples." GEOPHYSICS 82, no. 3 (2017): T97—T110. http://dx.doi.org/10.1190/geo2016-0458.1.

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Many applications in computational geophysics involve the modeling of seismic wave propagation on a set of closely related subsurface models. In such scenarios, it is of interest to recompute the seismic wavefields locally (only in the regions of change), instead of in the full subsurface model. We have developed a method for local acoustic wavefield recomputation that makes it possible to fully immerse a local modeling domain within a larger domain of arbitrary extent and complexity, such that the wave propagation in the full domain is completely accounted for. The method enables wavefield mo

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19

Trætteberg, Hallvard. "Integrating Dialog Modeling and Domain Modeling - the Case of Diamodl and the Eclipse Modeling Framework." JUCS - Journal of Universal Computer Science 14, no. (19) (2008): 3265–78. https://doi.org/10.3217/jucs-014-19-3265.

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For most applications, data-intensive applications in particular, dialog modeling makes little sense without a domain model. Since domain models usually are developed and used outside the dialog modeling activity, it is better to integrate dialog modeling languages with existing domain modeling languages and tools, than inventing your own. This paper describes how the Diamodl language, editor and runtime have been integrated with the Eclipse Modeling Framework.

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20

Lin, Songtuan, Daniel Höller, and Pascal Bercher. "Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions." Proceedings of the International Symposium on Combinatorial Search 17 (June 1, 2024): 55–63. http://dx.doi.org/10.1609/socs.v17i1.31542.

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The complexity of modeling planning domains is a major obstacle for making automated planning techniques more accessible, raising the demand of tools for providing modeling assistance. In particular, tools that can automatically correct errors in a planning domain are of great importance. Previous works have devoted efforts to developing such approaches for correcting classical (non-hierarchical) domains. However, no approaches exist for hierarchical planning, which is what we offer here. More specifically, our approach takes as input a flawed hierarchical domain together with a plan known to

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McDonald, Eli Fritz, Hope Woods, Shannon T. Smith, et al. "Structural Comparative Modeling of Multi-Domain F508del CFTR." Biomolecules 12, no. 3 (2022): 471. http://dx.doi.org/10.3390/biom12030471.

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Cystic fibrosis (CF) is a rare genetic disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR), an epithelial anion channel expressed in several vital organs. Absence of functional CFTR results in imbalanced osmotic equilibrium and subsequent mucus build up in the lungs-which increases the risk of infection and eventually causes death. CFTR is an ATP-binding cassette (ABC) transporter family protein composed of two transmembrane domains (TMDs), two nucleotide binding domains (NBDs), and an unstructured regulatory domain. The most prevalent patient mutation

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22

F. AL-Dulaimi, Dr Buthainah. "A novel modeling domain application." ALUSTATH JOURNAL FOR HUMAN AND SOCIAL SCIENCES 214, no. 2 (2018): 1–8. http://dx.doi.org/10.36473/ujhss.v214i2.628.

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This paper presents a novel to model application domain. Application domain description precedes requirements engineering, and is the basis for the development of a software or information system that satisﬁes all expectations of its users. The domain model is used to generate project specific process models. Our aim is to develop a model description for processes which permits to create comprehensive scenarios. Modeling can be divided into a structural, and behavioral. This paper projects that an important future direction in software engineering is domain-specific software engineering. From

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23

Gray, Jeff, Bernhard Rumpe, and Juha-Pekka Tolvanen. "A domain-specific modeling milestone." Software and Systems Modeling 20, no. 4 (2021): 917–18. http://dx.doi.org/10.1007/s10270-021-00921-x.

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24

Miller, E. K. "Time-domain modeling in electromagnetics." Journal of Electromagnetic Waves and Applications 8, no. 9-10 (1994): 1125–72. http://dx.doi.org/10.1163/156939394x00984.

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25

Hernandez, Nathalie, Josiane Mothe, Claude Chrisment, and Daniel Egret. "Modeling context through domain ontologies." Information Retrieval 10, no. 2 (2007): 143–72. http://dx.doi.org/10.1007/s10791-006-9018-0.

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26

France, Robert B., and Thomas B. Horton. "Applying domain analysis and modeling." ACM SIGSOFT Software Engineering Notes 20, SI (1995): 206–14. http://dx.doi.org/10.1145/223427.211846.

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27

Gomaa, Hassan. "Domain modeling methods and environments." ACM SIGSOFT Software Engineering Notes 20, SI (1995): 256–58. http://dx.doi.org/10.1145/223427.211855.

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28

Reinhartz-Berger, Iris. "Towards automatization of domain modeling." Data & Knowledge Engineering 69, no. 5 (2010): 491–515. http://dx.doi.org/10.1016/j.datak.2010.01.002.

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29

Zhang, Zhi Chuang, Xiao Ping Hu, and Chang Qing Xi. "A DSM-Based Multiple-Domain Modeling of Product Information." Applied Mechanics and Materials 201-202 (October 2012): 947–50. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.947.

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Knowledge cannot be promptly shared is the main problem in current ship design processes. Knowledge sharing depended on complete expression of the product information. Therefore, the project management tool—design structure matrix was applied in ship design. Three domains of design structure matrixes including products, tasks and people were built; three domain mapping matrixes which contain each two of the three fields were built too; finally the multiple-domain matrix including these three domains were built. The models established the theory basis for the development of collaborative design

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Krumpholz, M., H. G. Winful, and L. P. B. Katehi. "Nonlinear time-domain modeling by multiresolution time domain (MRTD)." IEEE Transactions on Microwave Theory and Techniques 45, no. 3 (1997): 385–93. http://dx.doi.org/10.1109/22.563337.

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31

Bateman, John A. "GUM: The generalized upper model." Applied Ontology 17, no. 1 (2022): 107–41. http://dx.doi.org/10.3233/ao-210258.

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GUM is a linguistically-motivated ontology originally developed to support natural language processing systems by offering a level of representation intermediate between linguistic forms and domain knowledge. Whereas modeling decisions for individual domains may need to be responsive to domain-specific criteria, a linguistically-motivated ontology offers a characterization that generalizes across domains because its design criteria are derived independently both of domain and of application. With respect to this mediating role, the use of GUM resembles (and partially predates) the adoption of

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Martin, Brent, Antonija Mitrovic, and Pramuditha Suraweera. "ITS Domain Modelling with Ontology." JUCS - Journal of Universal Computer Science 14, no. (17) (2008): 2758–76. https://doi.org/10.3217/jucs-014-17-2758.

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Authoring ITS domain models is a difficult task requiring many skills. We explored whether modeling ontology reduces the problem by giving the students of an e-learning summer school the task of developing the model for a simple domain in under sixty minutes using ontology. Some students also used our tool to develop a complete tutor in around eight hours, which is much faster than they could be expected to author the system without the tool. The results suggest this style of authoring can lead to very rapid ITS development. We further extend the ontological approach with domain schema: high-l

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Carvalho, Rommel N., Kathryn B. Laskey, and Paulo C. G. Da Costa. "Uncertainty modeling process for semantic technology." PeerJ Computer Science 2 (August 15, 2016): e77. http://dx.doi.org/10.7717/peerj-cs.77.

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The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engineering literature for how to design probabilistic ontologies. To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST), a new methodology for modeling pro

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Zhu, Qi, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, and Minlie Huang. "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset." Transactions of the Association for Computational Linguistics 8 (July 2020): 281–95. http://dx.doi.org/10.1162/tacl_a_00314.

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To advance multi-domain (cross-domain) dialogue modeling as well as alleviate the shortage of Chinese task-oriented datasets, we propose CrossWOZ, the first large-scale Chinese Cross-Domain Wizard-of-Oz task-oriented dataset. It contains 6K dialogue sessions and 102K utterances for 5 domains, including hotel, restaurant, attraction, metro, and taxi. Moreover, the corpus contains rich annotation of dialogue states and dialogue acts on both user and system sides. About 60% of the dialogues have cross-domain user goals that favor inter-domain dependency and encourage natural transition across dom

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Akbari, Abolghasem, Noram Irwin Bin Ramli, and Ngien Su Kong. "Application of Public Domain Satellite-Based DEMs in Natural Hazard Modeling." International Journal of Environmental Science and Development 7, no. 2 (2016): 140–44. http://dx.doi.org/10.7763/ijesd.2016.v7.756.

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White, John H. "REA Modeling of Mining Companies." Journal of Information Systems 22, no. 2 (2008): 279–99. http://dx.doi.org/10.2308/jis.2008.22.2.279.

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ABSTRACT: This research paper applies the resource-event-agent (REA) framework to model the unique patterns, in both the REA accountability and policy infrastructures, of the mining enterprise domain. A unique resource in this domain is the mineral resource (MinResc), and the acquisition and development of MinResc to prepare it for the mining conversion process requires a unique information acquisition event to create and expand an information resource entity. The physical mineral deposit entity set and the intangible information entity set are thus aggregated into a more abstract and more val

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Koskinen, Riitta, Urpo Lamminmäki, Clive A. Tregaskes, Jan Salomonsen, John R. Young, and Olli Vainio. "Cloning and Modeling of the First Nonmammalian CD4." Journal of Immunology 162, no. 7 (1999): 4115–21. http://dx.doi.org/10.4049/jimmunol.162.7.4115.

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Abstract We have cloned and sequenced the first nonmammalian CD4 cDNA from the chicken using the COS cell expression method. Chicken CD4 contains four extracellular Ig domains that, in analogy to mammalian CD4, are in the order V, C2, V, and C2. The molecule is 24% identical with both human and mouse sequences. The extracellular domains were modeled using human and rat CD4 crystal structures as templates. In the first domain there are two extra Cys residues that are at suitable distance to form an intra-β-sheet disulfide bridge in addition to the canonical one in the V domain. The region respo

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Grover, Aditya, Christopher Chute, Rui Shu, Zhangjie Cao, and Stefano Ermon. "AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 4028–35. http://dx.doi.org/10.1609/aaai.v34i04.5820.

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Given datasets from multiple domains, a key challenge is to efficiently exploit these data sources for modeling a target domain. Variants of this problem have been studied in many contexts, such as cross-domain translation and domain adaptation. We propose AlignFlow, a generative modeling framework that models each domain via a normalizing flow. The use of normalizing flows allows for a) flexibility in specifying learning objectives via adversarial training, maximum likelihood estimation, or a hybrid of the two methods; and b) learning and exact inference of a shared representation in the late

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TULINAYO, FIONA P., PATRICK VAN BOMMEL, and H. A. (ERIK) PROPER. "ENHANCING THE SYSTEM DYNAMICS MODELING PROCESS WITH A DOMAIN MODELING METHOD." International Journal of Cooperative Information Systems 22, no. 02 (2013): 1350011. http://dx.doi.org/10.1142/s0218843013500111.

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Defining complex system dynamics (SD) models in complex organizational settings is hard. This is so because the numbers of variables to consider are many and the question of causation is complicated to untangle. Second, SD models are ambiguous and hard to conceptualize. In this paper, we explore the use of a domain modeling method object-role modeling (ORM) in the process of developing SD models. We do so, because domain modeling methods help to identify relationships among entities within the scope of the problem domain and provide a structural view of the domain. The addition of a domain mod

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Papajorgji, Petraq, François Pinet, A. Miralles, E. Jallas, and P. M. Pardalos. "Modeling." International Journal of Agricultural and Environmental Information Systems 1, no. 1 (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

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Richard., Japheth Bunakiye. "Supporting Engineering Design Modeling by Domain Specific Modeling Languag." American Journal of Software Engineering and Applications 2, no. 3 (2013): 86. http://dx.doi.org/10.11648/j.ajsea.20130203.11.

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Cao, Jia Ming, and Tao Wu. "Multi-Domain Modeling Simulation and Application Based on MapleSim." Advanced Materials Research 706-708 (June 2013): 1894–97. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1894.

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In order to evaluate the ability of simulation of the software MapleSim, this paper introduces MapleSim software and its features. Experiments on two independent domains and one multi—domain physical are modeled and simulated. The multi—domain physical system has several outputs that can be shown as visible charts. Experiments demonstrate the MapleSim ability of modeling and simulation under complex condition. The result of simulation has highly reliability.

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Jarrah, Moath, and Bernard Zeigler. "A modeling and simulation-based methodology to support dynamic negotiation for web service applications." SIMULATION 88, no. 3 (2010): 315–28. http://dx.doi.org/10.1177/0037549710385744.

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Different negotiation engineering domains require the system designer to tailor the negotiation framework according to the domain under which it will be used. This process of system design is timely consuming when supporting different geographically distributed and dynamic environments. Here we show a methodology to design negotiation systems by integrating domain-dependent message structure ontology with domain-independent marketplace architecture. The methodology gives the system designers a powerful modeling tool that can be used to tailor the framework in order to support different negotia

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Ghazwan Alwan, Aws Anaz, and Saif Sabah Irhayyim. "Review on fluid-structure interaction problem modeling and recent developments." Global Journal of Engineering and Technology Advances 15, no. 2 (2023): 028–32. http://dx.doi.org/10.30574/gjeta.2023.15.2.0086.

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The fluid-structure interaction (FSI) problem plays significant roles in engineering simulations and design. This problem considers the interaction between the fluid domain and structural domain with one-way or two-way data transfer. There are several algorithms to solve the problem, mainly numerical duo to the complexity and nonlinearly. The numerical schemes focus on the modeling method of the coupling interface. However, there are several algorithms that merge the interface in the equations and deal with the domains as a unified set of equations. Future development could include artificial

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Ghazwan, Alwan, Anaz Aws, and Sabah Irhayyim Saif. "Review on fluid-structure interaction problem modeling and recent developments." Global Journal of Engineering and Technology Advances 15, no. 2 (2023): 028–32. https://doi.org/10.5281/zenodo.8046701.

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The fluid-structure interaction (FSI) problem plays significant roles in engineering simulations and design. This problem considers the interaction between the fluid domain and structural domain with one-way or two-way data transfer. There are several algorithms to solve the problem, mainly numerical duo to the complexity and nonlinearly. The numerical schemes focus on the modeling method of the coupling interface. However, there are several algorithms that merge the interface in the equations and deal with the domains as a unified set of equations. Future development could include artificial

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Artemieva, Irene L., and Natalya V. Ryabchenko. "Nanomaterials Ontology Model." Advanced Materials Research 905 (April 2014): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amr.905.65.

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Using intelligent modeling systems for explaining the results of calculations in terms of a particular domain provides more options by contrast with program systems of other classes. A formally described domain ontology that defines the unambiguous interpretation of the terms makes it possible to develop intelligent modeling systems combining knowledge and data of different sections of this domain and program systems for solving application issues. Nanoscience is of a cross-disciplinary nature which implies the necessity to use knowledge of various disciplines, i.e. there are ontologies of oth

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Ryu, Donghyun, Ahreum Kim, and Wansoo Ha. "Expanding domain method for 3D time-Laplace-domain hybrid modeling." Geosystem Engineering 18, no. 5 (2015): 259–65. http://dx.doi.org/10.1080/12269328.2015.1047966.

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Hawkins, P. J., V. Lagoon, and P. J. Stuckey. "Solving Set Constraint Satisfaction Problems using ROBDDs." Journal of Artificial Intelligence Research 24 (July 1, 2005): 109–56. http://dx.doi.org/10.1613/jair.1638.

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In this paper we present a new approach to modeling finite set domain constraint problems using Reduced Ordered Binary Decision Diagrams (ROBDDs). We show that it is possible to construct an efficient set domain propagator which compactly represents many set domains and set constraints using ROBDDs. We demonstrate that the ROBDD-based approach provides unprecedented flexibility in modeling constraint satisfaction problems, leading to performance improvements. We also show that the ROBDD-based modeling approach can be extended to the modeling of integer and multiset constraint problems in a str

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Ha, Wansoo, Seung-Goo Kang, and Changsoo Shin. "3D Laplace-domain waveform inversion using a low-frequency time-domain modeling algorithm." GEOPHYSICS 80, no. 1 (2015): R1—R13. http://dx.doi.org/10.1190/geo2013-0332.1.

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We have developed a Laplace-domain full-waveform inversion technique based on a time-domain finite-difference modeling algorithm for efficient 3D inversions. Theoretically, the Laplace-domain Green’s function multiplied by a constant can be obtained regardless of the frequency content in the time-domain source wavelet. Therefore, we can use low-frequency sources and large grids for efficient modeling in the time domain. We Laplace-transform time-domain seismograms to the Laplace domain and calculate the residuals in the Laplace domain. Then, we back-propagate the Laplace-domain residuals in th

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PARK, SI-HWAN. "A BICHARACTERISTICS METHOD FOR ADAPTIVE MODELING OF TRANSIENT WAVE PROPAGATION IN UNBOUNDED ACOUSTIC MEDIA." International Journal of Computational Methods 04, no. 02 (2007): 195–221. http://dx.doi.org/10.1142/s0219876207000996.

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A computational procedure is developed for adaptive modeling of transient wave propagation in an unbounded acoustic layer. The adaptivity herein is concerned with controlling the error caused by imperfect modeling of unbounded domains, and the procedure aims at determining the optimal order of the absorbing boundary condition (ABC) under consideration to control the error in the solution within a predetermined tolerance. The perfectly matched layer (PML) is used as an ABC, and the size of the PML domain controls the error associated with modeling unbounded domains. As a key technique in the ad

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