Journal articles: 'Object representation model (ORM)'

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Rachuri, Sudarsan, Young-Hyun Han, Sebti Foufou, Shaw C. Feng, Utpal Roy, Fujun Wang, Ram D. Sriram, and Kevin W. Lyons. "A Model for Capturing Product Assembly Information." Journal of Computing and Information Science in Engineering 6, no. 1 (June 2, 2005): 11–21. http://dx.doi.org/10.1115/1.2164451.

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The important issue of mechanical assemblies has been a subject of intense research over the past several years. Most electromechanical products are assemblies of several components, for various technical as well as economic reasons. This paper provides an object-oriented definition of an assembly model called the Open Assembly Model (OAM) and defines an extension to the NIST Core Product Model (NIST-CPM). The assembly model represents the function, form, and behavior of the assembly and defines both a system level conceptual model and associated hierarchical relationships. The model provides a way for tolerance representation and propagation, kinematics representation, and engineering analysis at the system level. The assembly model is open so as to enable plug-and-play with various applications, such as analysis (FEM, tolerance, assembly), process planning, and virtual assembly (using VR techniques). With the advent of the Internet more and more products are designed and manufactured globally in a distributed and collaborative environment. The class structure defined in OAM can be used by designers to collaborate in such an environment. The proposed model includes both assembly as a concept and assembly as a data structure. For the latter it uses STEP. The OAM together with CPM can be used to capture the assembly evolution from the conceptual to the detailed design stages. It is expected that the proposed OAM will enhance the assembly information content in the STEP standard. A case study example is discussed to explain the Usecase analysis of the assembly model.

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Djuric, Dragan. "MDA-based ontology infrastructure." Computer Science and Information Systems 1, no. 1 (2004): 91–116. http://dx.doi.org/10.2298/csis0401091d.

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The paper presents Ontology Definition Metamodel (ODM) and Ontology UML Profile that enables using Model Driven Architecture (MDA) standards in ontological engineering. Other similar metamodels are based on ontology representation languages, such as RDF(S), DAML+OIL, etc. However, none of these other solutions uses the recent W3C effort-The Web Ontology Language (OWL). In our approach, we firstly define the ODM and Ontology UML Profile place in the context of the MDA four-layer architecture and identify the main OWL concepts. Then, we define ODM using Meta-Object Facility (MOF). The relations between similar MOF and OWL concepts are discussed in order to show their differences (e.g. MOF or UML Class and OWL Class). The proposed ODM is used as a starting point for defining Ontology UML profile that enables using the well-known UML notation in ontological engineering more extensively.

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Medvedev, Danny, Uri Shani, and Dov Dori. "Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach." Applied Sciences 11, no. 2 (January 14, 2021): 765. http://dx.doi.org/10.3390/app11020765.

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Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system operation grow. Model-based systems engineering, an approach based on conceptual models, copes with this challenge. Models help construct formal system representations, visualize them, understand the design, simulate the system, and discover design flaws early on. Modeling tools can benefit tremendously from querying capabilities that enable gaining deep insights into system aspects that direct model observations do not reveal. Querying mechanisms can unveil and explain cause-and-effect phenomena, identify central components, and estimate impacts or risks associated with changes. Being connected networks of system elements, models can be effectively represented as graphs, to which queries are applied. Capitalizing on established graph-theoretic algorithms to solve a large variety of problems can elevate the modeling experience to new levels. To utilize this rich set of capabilities, one must convert the model into a graph and store it in a graph database with no significant loss of information. Applying the appropriate algorithms and translating the query response back to the original intelligible and meaningful diagrammatic and textual model representation is most valuable. We present and demonstrate a querying approach of converting Object-Process Methodology (OPM) ISO 19450 models into graphs, storing them in a Neo4J graph database, and performing queries that answer complex questions on various system aspects, providing key insights into the modeled system or phenomenon and helping to improve the system design.

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NAFIGIN, I. O., S. A. USTINOV, and V. A. PETROV. "THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS." Proceedings of higher educational establishments. Geology and Exploration, no. 4 (August 16, 2018): 61–67. http://dx.doi.org/10.32454/0016-7762-2018-4-61-67.

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Based on the consideration and analysis of different approaches to obtaining data for constructing a digital elevation model and types of three-dimensional surface representation, the choice of the most optimum technique for construction and visualization of three- dimensional model of the volcano-sedimentary cover of the Streltsovskaya caldera in Eastern Transbaikalia has been substantiated. The creation of such model determines the need for detection, identification and monitoring of processes, phenomena and factors of natural and anthropogenic origin at uranium deposits of the same named ore field, which are developed by underground way in difficult mining and geological conditions. To solve this problem, modeling of the daylight surface relief and the basement roof has been carried out on the basis on remote sensing data, geophysical studies, cartographic materials vectorization and processing results. The space between the constructed surfaces due to the algorithm for creating closed framework of surfaces has been transformed into a new object representing three-dimensional volumetric model of the caldera volcano-sedimentary cover. The received results allow creating a predictive model of the tectonic and dynamic state of the Streltsovky ore field rock massifs for the deposits development and mine workings design.

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Halpin, Terry. "Object-Role Modeling." International Journal of Information System Modeling and Design 1, no. 1 (January 2010): 33–57. http://dx.doi.org/10.4018/jismd.2010092302.

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Object-Role Modeling (ORM) is an approach for modeling and querying information at the conceptual level, and for transforming ORM models and queries to or from other representations. Unlike attribute-based approaches such as Entity-Relationship (ER) modeling and class modeling within the Unified Modeling Language (UML), ORM is fact-oriented, where all facts and rules are modeled in terms of natural sentences easily understood and validated by nontechnical business users. ORM’s modeling procedure facilitates validation by verbalization and population with concrete examples. ORM’s graphical notation is far more expressive than that of ER diagrams or UML class diagrams, and its attribute-free nature makes it more stable and adaptable to changing business requirements. This article explains the fundamentals of ORM, illustrates some of its advantages as a data modeling approach, and outlines some recent research to extend ORM, with special attention to mappings to deductive databases.

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Sun, Caige, Hao Chen, and Fenglei Fan. "Improving Accuracy of Impervious Surface Extraction Based on a Threshold Hierarchical Method (THM)." Applied Sciences 10, no. 23 (November 26, 2020): 8409. http://dx.doi.org/10.3390/app10238409.

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Impervious surface area (ISA) is an important representation of urban area. It is very popular to extract ISA by using linear spectral mixture analysis (LSMA). However, there are still some defects in this method: underestimated in areas with a large amount of ISA. Hence, we designed a threshold hierarchical method (THM) to test this underestimation and understand which scale is the best to mixture. The capacity of the THM and the optimal threshold in the impervious surface extraction are the focus in this work. In THM model, the medium-resolution image (Landsat 8 OLI) and the high-resolution image (Gaofen-2, GF-2) were used, the LSMA and the object-oriented method (OOM) were applied for the area with a larger amount of impervious surfaces, which was extracted from the Landsat 8 OLI image after finishing the LSMA procedure by a threshold of the ISA abundance data, the GF-2 image was employed to extract the ISA by OOM. The results show that the THM had the capacity to achieve higher ISA extraction accuracy and ameliorate the ISA underestimate problem.

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Chaudhuri, Sid. "The problem of a hydrogen atom in a cavity: Oscillator representation solution versus analytic solution." Open Physics 19, no. 1 (January 1, 2021): 61–68. http://dx.doi.org/10.1515/phys-2021-0201.

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Abstract A solution to the problem of a hydrogenic atom in a homogeneous dielectric medium with a concentric spherical cavity using the oscillator representation method (ORM) is presented. The results obtained by the ORM are compared with a known exact analytic solution. The energy levels of the hydrogenic atom in a spherical cavity exhibit a shallow-deep instability as a function of the cavity radius. The sharpness of the transition depends on the value of the dielectric constant of the medium. The results of the ORM agree well with the results obtained by the analytic solution when the shallow-deep transition is not too sharp (i.e., when the dielectric constant is not too large) for all values of the cavity radius. The ORM results in the zeroth order approximation diverge significantly in the region of the shallow-deep transition (i.e., for the values of the radius where the shallow-deep transition occurs) when the dielectric constant is high and as a result the transition is sharp. Even for the sharp transition, the ORM results again agree very well with the analytic results at least for the ground state when a commonly used approximation in the ORM is removed. The ORM methodology for the cavity model presented in this article can potentially be used for two-electron systems in a quantum dot.

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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 (June 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 modeling method to the process of developing SD models is to improve SD model conceptualization, enable transformation and reuse of information plus underpin SD with a domain modeling method that allows creation of database. To realize this, we come up with a procedure in our overall research which we refer to as grounded system dynamics (GSD) a combination of ORM and SD. To reason about the combination of SD with a domain modeling method (ORM), we identify and evaluate relationships between their constructs. Basing on the identified relations, ORM to stock and flow diagram (SFD) steps are defined and applied to a real-life case study national medical stores (NMS) situated in Uganda. On completion, we draw conclusions.

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Budiman, Edy, and Novianti Puspitasari. "Model View Controller dan Object Relational Mapping Data Borneo Biodiversity Information System." Jurnal Rekayasa Teknologi Informasi (JURTI) 2, no. 2 (December 11, 2018): 153. http://dx.doi.org/10.30872/jurti.v2i2.1869.

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Pergeseran paradigma pengembangan Perangkat Lunak yang berskala enterprise. Permasalahan antara lingkungan Berorientasi Objek (OOP) dengan lingkungan RDBMS (Relational Database Management System) yang sering disebut dengan istilah impedance mismatch (Ketidak-sesuaian pendekatan OOP dan RDBMS). Penelitian ini bertujuan menerapkan konsep Object Relational Mapping (ORM) yang berfungsi menjembatani ketidaksesuaian dan memetakkan database relasional ke model objek, melakukan pengumpulan data tumbuhan (Pohon, Kayu, Tanaman Obat dan Bambu). Metode pengembangan menggunakan konsep design pattern Model-View-Controller (MVC) berbasis Framework. Metode penamaan dan taksonomi tumbuhan mengacu pada International Association for Plant Taxonomy. Penelitian ini telah menghasilkan sebuah produk perangkat lunak Sistem Informasi Keanekaragaman Hayati Borneo, telah tersimpan data dalam database sistem 1482 jenis pohon, 233 jenis tumbuhan hutan obat, 86 jenis kayu dan 80 jenis bambu. Relevansi penelitian ini sebagai bentuk sinergitas penelitian yang mengacu pada Pola Ilmiah Pokok (PIP) Universitas Mulawarman sebagai Center of Excellence for Tropical Studies.

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Lacey, Simon, Noa Tal, Amir Amedi, and K. Sathian. "A Putative Model of Multisensory Object Representation." Brain Topography 21, no. 3-4 (March 28, 2009): 269–74. http://dx.doi.org/10.1007/s10548-009-0087-4.

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Ishimaru, Tomoyuki, and Shunsuki Uemura. "An object-oriented data model for multiple representation of object semantics." Systems and Computers in Japan 27, no. 9 (1996): 23–32. http://dx.doi.org/10.1002/scj.4690270903.

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Mordecai, Yaniv, James P. Fairbanks, and Edward F. Crawley. "Category-Theoretic Formulation of the Model-Based Systems Architecting Cognitive-Computational Cycle." Applied Sciences 11, no. 4 (February 23, 2021): 1945. http://dx.doi.org/10.3390/app11041945.

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We introduce the Concept→Model→Graph→View Cycle (CMGVC). The CMGVC facilitates coherent architecture analysis, reasoning, insight, and decision making based on conceptual models that are transformed into a generic, robust graph data structure (GDS). The GDS is then transformed into multiple views of the model, which inform stakeholders in various ways. This GDS-based approach decouples the view from the model and constitutes a powerful enhancement of model-based systems engineering (MBSE). The CMGVC applies the rigorous foundations of Category Theory, a mathematical framework of representations and transformations. We show that modeling languages are categories, drawing an analogy to programming languages. The CMGVC architecture is superior to direct transformations and language-coupled common representations. We demonstrate the CMGVC to transform a conceptual system architecture model built with the Object Process Modeling Language (OPM) into dual graphs and a stakeholder-informing matrix that stimulates system architecture insight.

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Zha, Xuan F., Sebti Foufou, Rachuri Sudarsan, and Ram D. Sriram. "Analysis and Evaluation for STEP-Based Electromechanical Assemblies." Journal of Computing and Information Science in Engineering 6, no. 3 (September 12, 2005): 276–87. http://dx.doi.org/10.1115/1.2218368.

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In this paper, we propose an integrated approach to analysis and evaluation for STEP-based (STandard for the Exchange of Product model data, officially ISO 10303) electromechanical assemblies. First, two assembly representational models are brought up and elaborated: the EXPRESS/XML schema-based model and the NIST object-oriented UML-based open assembly model (OAM). Then, these two models are integrated, in which the OAM incorporates the EXPRESS/XML schema-based assembly model to completely capture the detailed geometric information. The proposed assembly evaluation approach uses the EXPRESS/XML schema-based model as the information source, and covers not only the geometric and physical characteristics of assembly parts but also the assembly operation data necessary to assemble the parts. The feature of this approach is the linkage of the STEP product definition to the fuzzy analytic hierarchy process for assembly evaluation. The proposed approach has the flexibility to be used in various assembly methods and different environments. A case study shows the feasibility of the proposed approach.

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Murai, Yasuyuki, Suguru Asaoka, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu. "Distance Field Model Concept for Space Representation." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (December 20, 2007): 1241–49. http://dx.doi.org/10.20965/jaciii.2007.p1241.

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The distance field model (DFM), a new approach to space reasoning, i.e., the recognition and understanding of space, is realized by introducing the concept that a spatial object placed in a space generates a “distance field” represented by a function that maps arbitrary point P in space into a real number: the distance from P to this object. Analyzing the distance field, it is easy to judge, for example, what the surroundings are or how close obstacles are. To enable readers to understand the DFM concept, we introduce an object-oriented scheme to represent functions, and, by constructing a simplified object-oriented version of 2-dimensional (2D) DFM, we have compactly and comprehensively implemented the model. We also show that DFM is not limited to 2-dimensional space, but can be extended from the original to 3-dimensional (3D) or 2D-3D mixed systems.

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De Floriani, Leila, and Bianca Falcidieno. "A hierarchical boundary model for solid object representation." ACM Transactions on Graphics 7, no. 1 (January 1988): 42–60. http://dx.doi.org/10.1145/42188.46164.

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Xie, Chengjun, Jieqing Tan, Peng Chen, Jie Zhang, and Lei He. "Collaborative object tracking model with local sparse representation." Journal of Visual Communication and Image Representation 25, no. 2 (February 2014): 423–34. http://dx.doi.org/10.1016/j.jvcir.2013.12.012.

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Shih, Frank Y. "Object representation and recognition using mathematical morphology model." Journal of Systems Integration 1, no. 2 (August 1991): 235–56. http://dx.doi.org/10.1007/bf02426925.

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KIM, SUNGHO, GIJEONG JANG, WANG-HEON LEE, and IN SO KWEON. "COMBINED MODEL-BASED 3D OBJECT RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 07 (November 2005): 839–52. http://dx.doi.org/10.1142/s0218001405004368.

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This paper presents a combined model-based 3D object recognition method motivated by the robust properties of human vision. The human visual system (HVS) is very efficient and robust in identifying and grabbing objects, in part because of its properties of visual attention, contrast mechanism, feature binding, multiresolution and part-based representation. In addition, the HVS combines bottom-up and top-down information effectively using combined model representation. We propose a method for integrating these aspects under a Monte Carlo method. In this scheme, object recognition is regarded as a parameter optimization problem. The bottom-up process initializes parameters, and the top-down process optimizes them. Experimental results show that the proposed recognition model is feasible for 3D object identification and pose estimation.

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Zhu, H., and H. Wu. "Description and representation model of spatial object incremental update." Journal of Spatial Science 59, no. 1 (January 2, 2014): 47–61. http://dx.doi.org/10.1080/14498596.2013.863166.

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Ganji, Sandeep Kumar, Indu Potula, Venkata Naga Pradeep Ambati, Bhujanga Rao, Sandhya Kumari Ganji, and Shwetha Kumari Ganji. "Image representation, scaling and cognitive model of object perception." Cognitive Processing 7, S1 (August 11, 2006): 37–39. http://dx.doi.org/10.1007/s10339-006-0056-8.

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Yendrikhovskij, S. N., F. J. J. Blommaert, and H. de Ridder. "Memory Representation of Object Colours." Perception 25, no. 1_suppl (August 1996): 185. http://dx.doi.org/10.1068/v96l1008.

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Memory colours, ie colours recalled in association with familiar objects, impose a powerful constraint on colour appraisal of images of natural scenes. The purpose of this study is to specify the memory representation of one particular object colour. To this end, the colour of a banana was manipulated by varying hue-angle and saturation in the CIELUV colour space. Subjects' task was to rate the similarity in colour of the resulting banana samples displayed on the screen to the typical ripe banana stored in their mind. In order to examine the dependence of memory colour on texture information and context, three ways of presentation were used: original (banana among other fruit), isolated (the same banana against a homogenous gray background), and contour (silhouette of the banana with its average colour against the gray background). The relationships between the similarity judgments and chromaticity coordinates of the manipulated banana-represented points in the CIELUV colour space is described by a bivariate normal distribution with four parameters: two means and two variances of the Gaussians on the hue and saturation dimensions. For all three types of presentation, the variance of hue is significantly smaller than the variance of saturation; this suggests that memory description of hue is more precise than that of saturation. The data show systematic differences in the hue of memory colour between the original, isolated, and contour presentations of the banana. A model describing the hue shift in terms of illuminant and surface information content in the images is discussed.

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Nan, Zhixiong, Yang Liu, Nanning Zheng, and Song-Chun Zhu. "Recognizing Unseen Attribute-Object Pair with Generative Model." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8811–18. http://dx.doi.org/10.1609/aaai.v33i01.33018811.

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In this paper, we are studying the problem of recognizing attribute-object pairs that do not appear in the training dataset, which is called unseen attribute-object pair recognition. Existing methods mainly learn a discriminative classifier or compose multiple classifiers to tackle this problem, which exhibit poor performance for unseen pairs. The key reasons for this failure are 1) they have not learned an intrinsic attributeobject representation, and 2) the attribute and object are processed either separately or equally so that the inner relation between the attribute and object has not been explored. To explore the inner relation of attribute and object as well as the intrinsic attribute-object representation, we propose a generative model with the encoder-decoder mechanism that bridges visual and linguistic information in a unified end-to-end network. The encoder-decoder mechanism presents the impressive potential to find an intrinsic attribute-object feature representation. In addition, combining visual and linguistic features in a unified model allows to mine the relation of attribute and object. We conducted extensive experiments to compare our method with several state-of-the-art methods on two challenging datasets. The results show that our method outperforms all other methods.

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Xu, Zhi Wei, Zhong Qi Sheng, and Hua Long Xie. "Product Configuration Knowledge Modeling Using Extend Object Model." Applied Mechanics and Materials 16-19 (October 2009): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.394.

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This paper presents an extended object model for case-based reasoning in product configuration design. In the extended object model a few of methods of knowledge expression are adopted such as constraints, rules, objects etc. On the basis of extended object model, case representation model for case-based reasoning is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of case-based reasoning in product configuration design such as case representation, indexing, retrieving and case revising. The model extends traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, solution class used in case revise. So the product configuration knowledge that used in the product configuration design can be represented by using this model. In the end a Metering pump product configuration design systems is developed on the basis of the proposed product configuration model to support customized products.

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Shaked, Avi, and Yoram Reich. "Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE." Applied Sciences 11, no. 4 (February 8, 2021): 1532. http://dx.doi.org/10.3390/app11041532.

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Model-based Systems Engineering (MBSE) approaches are a step forward in the evolution of computer-aided engineering, and yet, they often incorporate deficiencies that may jeopardize their practical utility and usability, as well as the validity of the resulting models. We demonstrate how a domain-specific modeling approach can relieve some hurdles in adopting MBSE, and how it can be used in tandem with a general-purpose modeling approach to augment and introduce rigor to models. Specifically, we demonstrate the consequences of theoretical issues that were previously identified in Object Process Methodology and suggest an approach to solve them. We use a generalized case-study—derived from extensive process modeling in both academia and industry—to show that a domain-specific model can significantly relax the user’s modeling effort. This demonstration is based on two quantitative metrics: the number of representational elements and available modeling tactics. We discuss the contribution of our approach to model quality, particularly with respect to its rigor and communicability.

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Endo, Yasunori, Ayako Heki, and Yukihiro Hamasuna. "Non Metric Model Based on Rough Set Representation." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 4 (July 20, 2013): 540–51. http://dx.doi.org/10.20965/jaciii.2013.p0540.

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The non metricmodel is a kind of clustering method in which belongingness or the membership grade of each object in each cluster is calculated directly from dissimilarities between objects and in which cluster centers are not used. The clustering field has recently begun to focus on rough set representation instead of fuzzy set representation. Conventional clustering algorithms classify a set of objects into clusters with clear boundaries, that is, one object must belong to one cluster. Many objects in the real world, however, belong to more than one cluster because cluster boundaries overlap each other. Fuzzy set representation of clusters makes it possible for each object to belong to more than one cluster. The fuzzy degree of membership may, however, be too descriptive for interpreting clustering results. Rough set representation handles such cases. Clustering based on rough sets could provide a solution that is less restrictive than conventional clustering and more descriptive than fuzzy clustering. This paper covers two types of Rough-set-based Non Metric model (RNM). One algorithm is the Roughset-based Hard Non Metric model (RHNM) and the other is the Rough-set-based Fuzzy Non Metric model (RFNM). In both algorithms, clusters are represented by rough sets and each cluster consists of lower and upper approximation. The effectiveness of proposed algorithms is evaluated through numerical examples.

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Voronin, V. V. "DEGRADATION REPRESENTATION OF THE DIAGNOSTIC OBJECT IN A CONCEPTUAL MODEL." Informatika i sistemy upravleniya, no. 60 (2019): 77–86. http://dx.doi.org/10.22250/isu.2019.60.77-86.

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Bo, Chunjuan, Junxing Zhang, Junjie Liu, and Qiang Yao. "Robust online object tracking via the convex hull representation model." Neurocomputing 289 (May 2018): 44–54. http://dx.doi.org/10.1016/j.neucom.2018.02.013.

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Marefat, M., and J. Britanik. "Case-based process planning using an object-oriented model representation." Robotics and Computer-Integrated Manufacturing 13, no. 3 (September 1997): 229–51. http://dx.doi.org/10.1016/s0736-5845(97)00005-7.

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Ayzenberg, Vladislav, Sami Yousif, and Stella Lourenco. "The medial axis as a robust model of object representation." Journal of Vision 16, no. 12 (September 1, 2016): 169. http://dx.doi.org/10.1167/16.12.169.

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Sormaz, D. N., and B. Khoshnevis. "Process planning knowledge representation using an object-oriented data model." International Journal of Computer Integrated Manufacturing 10, no. 1-4 (January 1997): 92–104. http://dx.doi.org/10.1080/095119297131219.

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Gu, Yu Ming, Jie Liu, Kuo Liu, and Zhao Yao. "An Improved Representation for Object Tracking Algorithm." Applied Mechanics and Materials 16-19 (October 2009): 1020–24. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1020.

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Aiming at the shortcoming of feature space representation in traditional mean shift, we propose an improved object tracking method. At first, the target model region is segmented into overlapped square, and their histograms are computed. Then, the feature space is constituted which has introduced spatial information into. So the accuracy is enhanced. After computing the feature space of target candidate region, the mean shift is employed to find the new target location. The result shows that the improved method can track the object more robust, accurately and quickly.

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Sabes, Philip N., Boris Breznen, and Richard A. Andersen. "Parietal Representation of Object-Based Saccades." Journal of Neurophysiology 88, no. 4 (October 1, 2002): 1815–29. http://dx.doi.org/10.1152/jn.2002.88.4.1815.

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When monkeys make saccadic eye movements to simple visual targets, neurons in the lateral intraparietal area (LIP) display a retinotopic, or eye-centered, coding of the target location. However natural saccadic eye movements are often directed at objects or parts of objects in the visual scene. In this paper we investigate whether LIP represents saccadic eye movements differently when the target is specified as part of a visually displayed object. Monkeys were trained to perform an object-based saccade task that required them to make saccades to previously cued parts of an abstract object after the object reappeared in a new orientation. We recorded single neurons in area LIP of two macaque monkeys and analyzed their activity in the object-based saccade task, as well as two control tasks: a standard memory saccade task and a fixation task with passive object viewing. The majority of LIP neurons that were tuned in the memory saccade task were also tuned in the object-based saccade task. Using a hierarchical generalized linear model analysis, we compared the effects of three different spatial variables on the firing rate: the retinotopic location of the target, the object-fixed location of the target, and the orientation of the object in space. There was no evidence of an explicit object-fixed representation in the activity in LIP during either of the object-based tasks. In other words, no cells had receptive fields that rotated with the object. While some cells showed a modulation of activity due to the location of the target on the object, these variations were small compared to the retinotopic effects. For most cells, firing rates were best accounted for by either the retinotopic direction of the movement, the orientation of the object, or both spatial variables. The preferred direction of these retinotopic and object orientation effects were found to be invariant across tasks. On average, the object orientation effects were consistent with the retinotopic coding of potential target locations on the object. This interpretation is supported by the fact that the magnitude of these two effects were roughly equal in the early portions of the trial, but around the time of the motor response, the retinotopic effects dominated. We conclude that LIP uses the same retinotopic coding of saccade target whether the target is specified as an absolute point in space or as a location on a moving object.

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WANG, P. S. P. "THREE DIMENSIONAL OBJECT PATTERN REPRESENTATION BY ARRAY GRAMMARS." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 02n03 (August 1992): 227–40. http://dx.doi.org/10.1142/s0218001492000138.

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A formal model for three-dimensional object representation is introduced. It uses parallel techniques and significantly reduces the time required for dealing with three-dimensional image analysis problems. Its fundamental properties are investigated and several interesting examples are illustrated.

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Voronin, V. V. "EXTERNAL REPRESENTATION OF THE OBJECT OF DIAGNOSTICS IN A CONCEPTUAL MODEL." Informatika i sistemy upravleniya, no. 1 (2020): 74–83. http://dx.doi.org/10.22250/isu.2020.63.74-83.

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Jeong, Sungmoon, and Minho Lee. "Adaptive object recognition model using incremental feature representation and hierarchical classification." Neural Networks 25 (January 2012): 130–40. http://dx.doi.org/10.1016/j.neunet.2011.06.020.

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Xiao, Fei, Jin-Wen Tian, Guang-Wei Wang, and Chang-Qing Chen. "Using Non-symmetry and Anti-packing Representation Model for Object Detection." ITM Web of Conferences 12 (2017): 04020. http://dx.doi.org/10.1051/itmconf/20171204020.

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Sharma, G. K., and B. Gurumoorthy. "Iso-material contour representation for process planning of heterogeneous object model." Journal of Computational Design and Engineering 7, no. 4 (April 7, 2020): 498–513. http://dx.doi.org/10.1093/jcde/qwz001.

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Abstract Additive manufacturing is emerging as the preferred process for making heterogeneous objects. Planning the deposition of material is more complex for heterogeneous objects as the material variation has to be tracked along the path. This paper proposes an iso-material contour representation to generate the process plan for additive manufacturing given a smooth representation of heterogeneous object model. These contours represent the iso-material paths for deposition. As these paths shift along the direction of the gradation of material distribution, the deposition respects the gradient of the designed material distribution unlike iso-oriented paths generated by a raster scan method. Since the paths have the same material composition, material frequent change in the material composition is avoided, which, in turn, avoids the uneven deposition caused by the frequent start and stop of deposition while the material is being changed along the paths generated by the traditional raster scan. Associativity between the contours and the corresponding designed material feature is maintained, and therefore, changes in material composition are automatically propagated to the process plan.

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Shimomura, Y., M. Yoshioka, H. Takeda, Y. Umeda, and T. Tomiyama. "Representation of Design Object Based on the Functional Evolution Process Model." Journal of Mechanical Design 120, no. 2 (June 1, 1998): 221–29. http://dx.doi.org/10.1115/1.2826962.

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One of the crucial issues for developing computer aided conceptual design system is representation of functions which represent designers’ intention. Representing functions is also crucial not only for representing design objects but also for describing conceptual design processes, in which designers operate mainly functional concepts. Namely, function is a key concept to integrate object modeling and process modeling in design. In this paper, first we extend the FBS (Function-Behavior-State) diagram, which we have already proposed, by introducing three additional concepts for representing a function; namely, function body that represents designers’ intention directly, function modifier that qualifies a function body, and objective entity on which the function body occurs. This extended FBS diagram, called FBS/m (modifier) diagram, enables us to represent designers’ intention more precisely than the original FBS diagram. Then, we propose an FEP (Functional Evolution Process) model to represent design processes. In the FEP model, the FBS model of a design object is evolved through three steps, i.e., functional actualization, functional evaluation and functional operation. Functional actualization depicts a process to obtain physical descriptions from functional description. Functional evaluation is a process to measure realizability of functions of the design object. Functional operation is a process to operate functions to improve the design. Based on the FEP model, we analyze an actual design process, and show that the FEP model is suitable for representing designers’ intention along with design processes.

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Chen, Xiao Ying, and Bin He. "Knowledge Representation Method of Product Principle Solution Based on Semantic Network Model." Applied Mechanics and Materials 34-35 (October 2010): 1865–69. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1865.

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Product design is a problem-solving activity based on knowledge. This paper is devoted to presenting a systematic knowledge representation method of principle solution based on semantic network model. For the expression of product knowledge, the semantic object, constraints and their relationships among the expression of the semantic object network model are proposed step by step. Then the principle solution representation model based on semantic network model is put forwards. The knowledge representation of a car is given as an example, which demonstrates that this method is obviously helpful for knowledge-based design system and product innovation.

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Tanner, Nancy S., and Donald L. Fisher. "A Visual Search Model for Selection of Graphic Symbols." Proceedings of the Human Factors Society Annual Meeting 32, no. 19 (October 1988): 1320–23. http://dx.doi.org/10.1177/154193128803201902.

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Ideally one would like to select symbols for visual displays which can quickly be identified. This paper presents a model which can help select the representation of an object which will speed search the most (i.e., the optimal representation) when there are several equally meaningful representations available.

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Dicheva-Kirilova, Natasha, and Jaklina Jivkova-Todorova. "A constructive model of orthogonal axonometry." Facta universitatis - series: Architecture and Civil Engineering 2, no. 5 (2003): 405–12. http://dx.doi.org/10.2298/fuace0305405d.

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A new method for object representation in arbitrary orthogonal axonometry is suggested. Constructions for a point drawing are shown, using two rotations - a rotation of the coordinate plane Oxy to the profile plane and a rotation of the profile plane to the projection plane. Using these simple constructions, an object can be projected on arbitrary plane. Plane figures (circles and polygons) can be pictured, too.

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Schwan, Stephan, Daniela Bauer, Lorenz Kampschulte, and Constanze Hampp. "Representation Equals Presentation?" Journal of Media Psychology 29, no. 4 (October 2017): 176–87. http://dx.doi.org/10.1027/1864-1105/a000166.

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Abstract. In two experiments, the notion was tested that real objects receive more attention and are better remembered than respective photographs of objects. Both objects and photographs were presented behind glass in display showcases in a museum and, hence, were largely equivalent in terms of providing visual information. The results of Experiment 1 indicated that participants pay more attention to real objects than to respective photographs. In addition, Experiment 2 indicated that participants retrieve more memory details about an object if they have seen it as a real object in comparison with a respective photograph. This study provides the first evidence that observers take the different ontological status of photographs and real objects into account, processing the former less elaborately than the latter. More specifically, the present findings are compatible with an early-stage model, which assumes that attribution of authenticity is done heuristically at an early stage, thereby influencing the amount and depth of subsequent stages of information processing, including inspection time and cognitive elaboration.

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Moldakarimov, Samat, Maxim Bazhenov, and Terrence J. Sejnowski. "Representation Sharpening Can Explain Perceptual Priming." Neural Computation 22, no. 5 (May 2010): 1312–32. http://dx.doi.org/10.1162/neco.2009.04-09-999.

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Perceiving and identifying an object is improved by prior exposure to the object. This perceptual priming phenomenon is accompanied by reduced neural activity. But whether suppression of neuronal activity with priming is responsible for the improvement in perception is unclear. To address this problem, we developed a rate-based network model of visual processing. In the model, decreased neural activity following priming was due to stimulus-specific sharpening of representations taking place in the early visual areas. Representation sharpening led to decreased interference of representations in higher visual areas that facilitated selection of one of the competing representations, thereby improving recognition. The model explained a wide range of psychophysical and physiological data observed in priming experiments, including antipriming phenomena, and predicted two functionally distinct stages of visual processing.

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Kwon, Soo-Young. "Mental God-Representation Reconsidered: Probing Collective Representation of Cultural Symbol." Archive for the Psychology of Religion 25, no. 1 (January 2003): 113–28. http://dx.doi.org/10.1163/157361203x00084.

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The current methods in psychoanalytic studies of God images and representations have focused almost exclusively on individual, internal processes. This article examines how psychological anthropologists go about formulating symbolic representations of deity in their research, in comparison with the object relations method of God-representations. Drawing on Melford Spiro's integrative proposal for interpreting the mental and collective representations in religious symbol systems, this paper proposes that there is a need for a comprehensive model of the representational process in the Eastern world in order to suit its cultural traditions. The author uses both theoretical and historical materials as well as personal narrative throughout its entirety to balance the two in a mutual and coherent flow of understanding. Noting the culturally patterned interactions with culturally postulated God-symbols, the object relations method of God-representations will be utilized to probe how God is both created and found on a collective (cultural) level as well as individual level.

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Gorokhovatsky, Volodymyr, Nataliia Vlasenko, and Mykhailo Rybalka. "Application of data hashing tools to accelerate classification decisions in structural image recognition methods." Advanced Information Systems 5, no. 2 (June 22, 2021): 13–20. http://dx.doi.org/10.20998/2522-9052.2021.2.02.

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The subject of this research is the image classification methods based on a set of key points descriptors. The goal is to increase the performance of classification methods, in particular, to improve the time characteristics of classification by introducing hashing tools for reference data representation. Methods used: ORB detector and descriptors, data hashing tools, search methods in data arrays, metrics-based apparatus for determining the relevance of vectors, software modeling. The obtained results: developed an effective method of image classification based on the introduction of high-speed search using hash structures, which speeds up the calculation dozens of times; the classification time for the considered experimental descriptions increases linearly with decreasing number of hashes; the minimum metric value limit choice on setting the class for object descriptors significantly affects the accuracy of classification; the choice of such limit can be optimized for fixed samples databases; the experimentally achieved accuracy of classification indicates the efficiency of the proposed method based on data hashing. The practical significance of the work is - the classification model’s synthesis in the hash data representations space, efficiency proof of the proposed classifiers modifications on image examples, development of applied software models implementing the proposed classification methods in computer vision systems.

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Su, Hao, and Shan Liao. "Learning Object Groups for Scene Recognition." Advanced Materials Research 998-999 (July 2014): 1028–32. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1028.

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Scene recognition is an important task for many computer vision and robotics applications. Recent progress in high-level object-based image representation has shown superior performance on scene classification tasks. In this work, we make an observation that groups of objects tend to co-occur frequently in a scene. We therefore propose to a novel framework that automatically learns object groups, and use them to build an image representation for scene recognition tasks. We model each object group as a template that explicitly encodes the spatial configurations of objects. To encourage the informativeness and discriminability, we learn the object group templates in a sparse filtering framework. Experiment results show that our object group representation could achieve state-of-the-art performance for both scene discovery and scene classification tasks.

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Elder, James H. "Shape from Contour: Computation and Representation." Annual Review of Vision Science 4, no. 1 (September 15, 2018): 423–50. http://dx.doi.org/10.1146/annurev-vision-091517-034110.

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The human visual system reliably extracts shape information from complex natural scenes in spite of noise and fragmentation caused by clutter and occlusions. A fast, feedforward sweep through ventral stream involving mechanisms tuned for orientation, curvature, and local Gestalt principles produces partial shape representations sufficient for simpler discriminative tasks. More complete shape representations may involve recurrent processes that integrate local and global cues. While feedforward discriminative deep neural network models currently produce the best predictions of object selectivity in higher areas of the object pathway, a generative model may be required to account for all aspects of shape perception. Research suggests that a successful model will account for our acute sensitivity to four key perceptual dimensions of shape: topology, symmetry, composition, and deformation.

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SOURROUILLE, JEAN LOUIS. "A KNOWLEDGE-BASED FRAMEWORK OF OBJECT-ORIENTED SOFTWARE DEVELOPMENT ENVIRONMENTS." International Journal of Software Engineering and Knowledge Engineering 04, no. 04 (December 1994): 451–79. http://dx.doi.org/10.1142/s0218194094000222.

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Software development can be seen as a formalization process which, from informal data (problem), leads to a fully formal representation (solution) by successive enrichments and transformations. This paper presents a representation formalism (KLSDE: Knowledge-based representation Language for Software Development Environments) which supports the iterative and evolutionary features of this process. From syntactic and semantic rules described in the domain model and the software process model, the representation is gradually bound by stronger and stronger constraints, according to the degree of formalization. Based on object concepts, KLSDE offers both expressive power as well as simplicity and readability. The power, which stems from knowledge representation techniques, is necessary to build various models such as the software process development, the domain or the solution. Readability and simplicity are required so that the language addresses communication needs. For readability, the language is constructed on current metaphors and concepts. It includes a graphic representation and many structuring mechanisms. Finally, KLSDE is at the center of a development environment. It is parameterized by the user methodology and fulfills the needs for the whole life-cycle.

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ZHANG, Fu, Li YAN, Zong-Min MA, and Jing-Wei CHENG. "Representation and Reasoning of Fuzzy Object-Oriented Data Model with Description Logic." Journal of Software 23, no. 3 (April 28, 2012): 594–612. http://dx.doi.org/10.3724/sp.j.1001.2012.04037.

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Cutzu, Florin, and Shimon Edelman. "Representation of object similarity in human vision: psychophysics and a computational model." Vision Research 38, no. 15-16 (August 1998): 2229–57. http://dx.doi.org/10.1016/s0042-6989(97)00186-7.

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Journal articles on the topic 'Object representation model (ORM)'

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