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Journal articles on the topic 'Object database model'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Kasper, Alexander, Zhixing Xue, and Rüdiger Dillmann. "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics." International Journal of Robotics Research 31, no. 8 (May 29, 2012): 927–34. http://dx.doi.org/10.1177/0278364912445831.

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2

Papazoglou, M. P., and B. J. Krämer. "A database model for object dynamics." VLDB Journal The International Journal on Very Large Data Bases 6, no. 2 (May 1, 1997): 73–96. http://dx.doi.org/10.1007/s007780050034.

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3

Papazoglou, M. P., and B. J. Krämer. "A database model for object dynamics." VLDB Journal The International Journal on Very Large Data Bases 6, no. 3 (August 1, 1997): 257–60. http://dx.doi.org/10.1007/s007780050044.

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4

Gyssens, M., J. Paredaens, J. van den Bussche, and D. van Gucht. "A graph-oriented object database model." IEEE Transactions on Knowledge and Data Engineering 6, no. 4 (1994): 572–86. http://dx.doi.org/10.1109/69.298174.

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5

Indrajani, Indrajani. "Model Object Relational Database pada Aplikasi Notifikasi Sms." ComTech: Computer, Mathematics and Engineering Applications 4, no. 1 (June 30, 2013): 302. http://dx.doi.org/10.21512/comtech.v4i1.2742.

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The purpose of this research is to analyse the database using object oriented approach. In addition, this research develops and designs an object relational database structure to make easier the process of searching for the required information. The benefit of this research is to provide a data structure that can be reused for SMS notification application developer team, so that the developers can use existing objects for future use if there are changes in the current business process. The methods used are data collection, analysis, and design. The result obtained from this research is a database structure of sms notification application, which can be used in various programming languages for using object relational database approach. For conclusion, by using the object relational database structure, application developers will be made easier in developing the current database structure. Programmer can add a new data type simply by creating a new object. Data is accessed or processed as object-oriented.

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PISSINOU, NIKI, and KIA MAKKI. "A UNIFIED MODEL AND METHODOLOGY FOR TEMPORAL OBJECT DATABASES." International Journal of Cooperative Information Systems 02, no. 02 (June 1993): 201–23. http://dx.doi.org/10.1142/s0218215793000101.

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This paper identifies, explores and provides an approach to handling temporal information in object databases. It specifically involves the design and development of the Temporal Three Dimensional Information Space model that integrates time with objects. The model is based on a small number of simple temporal object constructs and provides a user with the basic primitives for temporal object definition, manipulation and retrieval. This research presents a step towards defining the concepts and techniques for incorporating time in object databases, and provides concrete experimental framework for demonstration thereof. Target Application environments include management and geographic information systems, database visualization and robotics.

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Zhang, Xue Min, and Hua Bei Nie. "Storage Model of Native XML Database Based on Object-Oriented Database." Applied Mechanics and Materials 241-244 (December 2012): 2812–15. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2812.

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Storage for XML is a main research of Native XML database. Native XML Database has many different physical storage patterns, and their corresponding storage models are different. Based on defining the conceptions of Native XML Database, storage tactics and storage model, the paper describe the storage model based on object oriented database.

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Coulondre, S., and T. Libourel. "An integrated object-role oriented database model." Data & Knowledge Engineering 42, no. 1 (July 2002): 113–41. http://dx.doi.org/10.1016/s0169-023x(02)00059-9.

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9

Hines, M. L. "Conceptual object-oriented database: A theoretical model." Information Sciences 105, no. 1-4 (March 1998): 31–68. http://dx.doi.org/10.1016/s0020-0255(97)10018-4.

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10

Beech, David. "Intensional concepts in an object database model." ACM SIGPLAN Notices 23, no. 11 (November 1988): 164–75. http://dx.doi.org/10.1145/62084.62099.

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Fong, Joseph, Ringo Pang, Anthony Fong, Francis Pang, and Kenny Poon. "Concurrent Data Materialization for Object-Relational Database with Semantic Metadata." International Journal of Software Engineering and Knowledge Engineering 13, no. 03 (June 2003): 257–91. http://dx.doi.org/10.1142/s0218194003001287.

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For a company with many databases in different data models, it is necessary to consolidate them into one data model interchangeable and present data in one data model concurrently to users. The benefit is to let user stick to his/her own data model to access database in another data model. This paper presents a semantic metadata to preserve database constraints for data materialization to support user's view of database on an ad hoc base. The semantic metadata can store the captured semantics of a relational or an object-oriented database into classes and stored procedures triggered by events. The stored constraints and data can be materialized into a target database upon user request. The user is allowed to perform the data materialization many times alternatively. The process can provide a relational as well as an object oriented view to the users simultaneously. This concurrent data materialization function can be applied to data warehouse to consolidate heterogeneous database into a fact table in a data model of user's choice. Furthermore, a user can obtain either a relational view or an object-oriented view of the same dataset of an object-relational database interchangeably.

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12

Auziņš, Ainārs, Jānis Eiduks, Alīna Vasiļevska, and Reinis Dzenis. "Object-Relational Database Structure Model and Structure Optimisation." Applied Computer Systems 23, no. 1 (May 1, 2018): 28–36. http://dx.doi.org/10.2478/acss-2018-0004.

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Abstract During object-relational database physical structure design, problems are caused by three factors: ambiguity of transformations of conceptual model, multiplicity of quality assessment criteria, and a lack of constructive model. In the present study a constructive hierarchical model of physical database structure has been developed. Implementations are used in XML, SQL and Java languages. Multi-criterial structure optimisation method has also been developed. Structure variation space is generated using transformation rule database. Prototype has been implemented within the framework of the research.

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13

Pouyioutas, Philippos, and George Loizou. "Dependencies for an extended object-oriented database model." International Journal of Computer Mathematics 55, no. 1-2 (January 1995): 1–17. http://dx.doi.org/10.1080/00207169508804358.

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14

Jones, A., E. Hunt, J. M. Wastling, A. Pizarro, and C. J. Stoeckert. "An object model and database for functional genomics." Bioinformatics 20, no. 10 (May 14, 2004): 1583–90. http://dx.doi.org/10.1093/bioinformatics/bth130.

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15

Goutas, S., P. Soupos, and D. Christodoulakis. "Formalization of object-oriented database model with rules." Information and Software Technology 33, no. 10 (December 1991): 741–57. http://dx.doi.org/10.1016/0950-5849(91)90048-g.

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16

BOURBAKIS, N., P. YUAN, and P. KAKUMANU. "A GRAPH BASED OBJECT DESCRIPTION AND RECOGNITION METHODOLOGY." International Journal on Artificial Intelligence Tools 17, no. 06 (December 2008): 1161–94. http://dx.doi.org/10.1142/s0218213008004345.

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This paper presents a methodology for recognizing 3D objects using synthesis of 2D views. In particular, the methodology uses wavelets for rearranging the shape of the perceived 2D view of an object for attaining a desirable size, local-global (LG) graphs for representing the shape, color and location of each image object's region obtained by an image segmentation method and the synthesis of these regions that compose that particular object. The synthesis of the regions is obtained by composing their local graph representations under certain neighborhood criteria. The LG graph representation of the extracted object is compared against a set of LG based object-models stored in a Database (DB). The methodology is accurate for recognizing objects existed in the DB and it has the capability of "learning" the LG patterns of new objects by associating them with attributes from existing LG patterns in the DB. Note that for each object-model stored in the database there are only six views, since all the intermediate views can be generated by appropriately synthesizing these six views. Illustrative examples are also provided.

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Ortega, Ana, and Mubarak Shah. "From Shape from Shading to Object Recognition." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 07 (November 1998): 969–84. http://dx.doi.org/10.1142/s0218001498000531.

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Recognition of objects is one of the main goals of computer vision. Several approaches have been proposed to solve this problem using 3-D shapes. In most of them it is assumed that the 3-D shape (depth map) is available. Several object recognition systems use range images to extract the 3-D shape. We present a method that uses a shape from shading algorithm to perform 3-D object recognition for simple objects. This method extracts the 3-D information from a single intensity image, then segments the object into regions. After computing the properties of the regions, it compares the input object with the model objects in the database. To test our method, several images with slightly different viewing angles of single objects are matched against five models in the database.

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Medina, Juan Miguel, J. Enrique Pons, Carlos D. Barranco, and Olga Pons. "A Fuzzy Temporal Object-Relational Database: Model and Implementation." International Journal of Intelligent Systems 29, no. 9 (June 24, 2014): 836–63. http://dx.doi.org/10.1002/int.21666.

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19

Bassiliades, N., and I. Vlahavas. "PRACTIC: A concurrent object data model for a parallel object-oriented database system." Information Sciences 86, no. 1-3 (September 1995): 149–78. http://dx.doi.org/10.1016/0020-0255(95)00092-4.

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20

Liu, Chao, and Zhong Cheng Yu. "Research of Modeling Moving Objects Database over Space-Time Grid." Advanced Materials Research 268-270 (July 2011): 1301–6. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1301.

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It is important to manage the dynamic information of moving objects in database technique, it is crucial that how to manage and query the dynamic information of moving objects effectively. In this paper, a system to manage moving object is discussed, which changes time-space into ST-GRlD (space-time grid) model and changes the moving tract of the moving object into poly line in the ST-GRlD .The Ripple Insert algorithm to produce poly line tract and the solution of moving object abruptly changing destination are given.

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21

Agrawal, Avinash J., and O. G. Kakde. "Object-Relational Database Based Category Data Model for Natural Language Interface to Database." International Journal of Artificial Intelligence & Applications 2, no. 1 (January 31, 2011): 35–41. http://dx.doi.org/10.5121/ijaia.2011.2103.

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22

Kahn, M. G., L. M. Fagan, and S. Tu. "Extensions to the Time-Oriented Database Model to Support Temporal Reasoning in Medical Expert Systems." Methods of Information in Medicine 30, no. 01 (1991): 04–14. http://dx.doi.org/10.1055/s-0038-1634816.

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Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most systems are limited in their ability to store and retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the most widely used data model for medical database systems, associates a single time stamp with each observation. The proper analysis of most clinical data requires accounting for multiple concurrent clinical events that may alter the interpretation of the raw data. Most medical DBMSs cannot retrieve patient data indexed by multiple clinical events. We describe two logical extensions to TOD-based databases that solve a set of temporal reasoning problems we encountered in constructing medical expert systems. A key feature of both extensions is that stored data are partitioned into groupings, such as sequential clinical visits, clinical exacerbations, or other abstract events that have clinical decision-making relevance. The temporal network (TNET) is an object-oriented database that extends the temporal reasoning capabilities of ONCOCIN, a medical expert system that provides chemotherapy advice. TNET uses persistent objects to associate observations with intervals of time during which “an event of clinical interest” occurred. A second object-oriented system, called the extended temporal network (ETNET), is both an extension and a simplification of TNET. Like TNET, ETNET uses persistent objects to represent relevant intervals; unlike the first system, however, ETNET contains reasoning methods (rules) that can be executed when an event “begins”, and that are withdrawn when that event “concludes”. TNET and ETNET capture temporal relationships among recorded information that are not represented in TOD-based databases. Although they do not solve all temporal reasoning problems found in medical decision making, these new structures enable patient database systems to encode complex temporal relationships, to store and retrieve patient data based on multiple clinical contexts and, in ETNET, to modify the reasoning methods available to an expert system based on the onset or conclusion of specific clinical events.

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Jurnal, Redaksi Tim. "IMPLEMENTASI METODE DETEKSI TEPI CANNY PADA OBJEK SEBAGAI MODEL KEAMANAN APLIKASI PADA SMARTPHONE ANDROID." Petir 9, no. 1 (January 4, 2019): 16–20. http://dx.doi.org/10.33322/petir.v9i1.187.

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The development of technology push security system applications on android smartphone to develop one of its features that is detection of the object. The detection of Objects is a technology that allows us to identify or verify an object through a digital image by matching the texture of the object with the curve of the data objects stored in the database. For example, to match the curve of the face such as the nose, eyes and chin. There are several methods to support the work of object detection among which edge detection. Edge detection can represent the objects contained in the image of the shape and size as well as information about the texture of an object. the best method of edge detection is canny edge detection which has the minimum error rate compared with other edge detection methods. Canny edge detection will generate the image that has been processed into a new image. The new image will be stored on a database that will be matched to the image of a new object that is used as the opening applications on android smartphone.

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24

He, Li Jun, De Gao Wang, Shu Zhe Bao, and Jian Yun. "Implementation of the Object-Oriented Data Model in Oracle Database." Applied Mechanics and Materials 44-47 (December 2010): 3849–53. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3849.

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Oracle is a database management system supporting the object-oriented data model that is usually adopted by the storage technology of persistent object. This paper describes the main features and characteristics that an object-oriented database system must have to qualify as an object-oriented data model. The paper introduces how to describe and implement the main modeling elements of the object-oriented data model in Oracle database which are the main components of class diagram, including the class, attribute, method, inheritance and polymerization. The examples of SQL that the paper offers can successfully run in Oracle 10g.

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25

IKEDA, S., P. C. Y. SHEU, and JEFFREY J. P. TSAI. "A MODEL FOR OBJECT RELATIONAL OLAP." International Journal on Artificial Intelligence Tools 19, no. 05 (October 2010): 551–95. http://dx.doi.org/10.1142/s0218213010000327.

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On-line Analytic Processing (OLAP) is a powerful technique especially for solving business problems in terms of a multidimensional model. Traditional OLAP models (such as ROLAP and MOLAP) are not sufficient to answer queries for complex applications. In this research, we extend the traditional multidimensional model and OLAP operations with an object relational multidimensional model. We also discuss how to implement the object relational multidimensional model on top of a relational database.

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Zheng, Wei, Ya Ping Wu, and Yao Fei Chen. "Research of Information Extraction from SQL Server Based on SQL-DMO." Advanced Materials Research 468-471 (February 2012): 2878–81. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2878.

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This article describes the SQL Server object model SQL-DMO. Through the object model all information of SQL Server's internal objects can be obtained, including databases, data tables, stored procedures and triggers and so on. Analysis the method of the object’s information extraction. Get the child object by analyzing the parent object’s collection property and get internal information by analyzing the object’s properties. A visual basic procedure is designed to achieve the table’s structure information for all user tables in specified SQL Server database. This method is more complete and simple than the method based on system table.

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27

Li, Hang, Hua Liu, Yong Liu, and Yuan Wang. "AN OBJECT-RELATIONAL IFC STORAGE MODEL BASED ON ORACLE DATABASE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 625–31. http://dx.doi.org/10.5194/isprsarchives-xli-b2-625-2016.

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With the building models are getting increasingly complicated, the levels of collaboration across professionals attract more attention in the architecture, engineering and construction (AEC) industry. In order to adapt the change, buildingSMART developed Industry Foundation Classes (IFC) to facilitate the interoperability between software platforms. However, IFC data are currently shared in the form of text file, which is defective. In this paper, considering the object-based inheritance hierarchy of IFC and the storage features of different database management systems (DBMS), we propose a novel object-relational storage model that uses Oracle database to store IFC data. Firstly, establish the mapping rules between data types in IFC specification and Oracle database. Secondly, design the IFC database according to the relationships among IFC entities. Thirdly, parse the IFC file and extract IFC data. And lastly, store IFC data into corresponding tables in IFC database. In experiment, three different building models are selected to demonstrate the effectiveness of our storage model. The comparison of experimental statistics proves that IFC data are lossless during data exchange.

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Li, Hang, Hua Liu, Yong Liu, and Yuan Wang. "AN OBJECT-RELATIONAL IFC STORAGE MODEL BASED ON ORACLE DATABASE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 625–31. http://dx.doi.org/10.5194/isprs-archives-xli-b2-625-2016.

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With the building models are getting increasingly complicated, the levels of collaboration across professionals attract more attention in the architecture, engineering and construction (AEC) industry. In order to adapt the change, buildingSMART developed Industry Foundation Classes (IFC) to facilitate the interoperability between software platforms. However, IFC data are currently shared in the form of text file, which is defective. In this paper, considering the object-based inheritance hierarchy of IFC and the storage features of different database management systems (DBMS), we propose a novel object-relational storage model that uses Oracle database to store IFC data. Firstly, establish the mapping rules between data types in IFC specification and Oracle database. Secondly, design the IFC database according to the relationships among IFC entities. Thirdly, parse the IFC file and extract IFC data. And lastly, store IFC data into corresponding tables in IFC database. In experiment, three different building models are selected to demonstrate the effectiveness of our storage model. The comparison of experimental statistics proves that IFC data are lossless during data exchange.

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Guo, Shengnan, and Jianqiu Xu. "CPRQ: Cost Prediction for Range Queries in Moving Object Databases." ISPRS International Journal of Geo-Information 10, no. 7 (July 8, 2021): 468. http://dx.doi.org/10.3390/ijgi10070468.

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Predicting query cost plays an important role in moving object databases. Accurate predictions help database administrators effectively schedule workloads and achieve optimal resource allocation strategies. There are some works focusing on query cost prediction, but most of them employ analytical methods to obtain an index-based cost prediction model. The accuracy can be seriously challenged as the workload of the database management system becomes more and more complex. Differing from the previous work, this paper proposes a method called CPRQ (Cost Prediction of Range Query) which is based on machine-learning techniques. The proposed method contains four learning models: the polynomial regression model, the decision tree regression model, the random forest regression model, and the KNN (k-Nearest Neighbor) regression model. Using R-squared and MSE (Mean Squared Error) as measurements, we perform an extensive experimental evaluation. The results demonstrate that CPRQ achieves high accuracy and the random forest regression model obtains the best predictive performance (R-squared is 0.9695 and MSE is 0.154).

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FONG, JOSEPH, and SAN KUEN CHEUNG. "TRANSLATING OODB METHOD TO RDB ROUTINE." International Journal of Software Engineering and Knowledge Engineering 11, no. 03 (June 2001): 329–55. http://dx.doi.org/10.1142/s0218194001000554.

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A methodology is introduced for translating from methods in an object-oriented database to routines in a relational database. The approach consists of three steps. The first step is to translate method signature to Persistent Stored Modules signature. The second step is to translate method source language to (function/procedure) routine. The process includes Host Language, OSQL's Qualification, Query Translation, Update Transaction Translation, and Objects inside Object. The third step is to translate method invocation to routine invocation. According to this approach, object-oriented database methods can be translated to relational database routines that can be executed in the relational database environment assisted by a frame model and case statements listing all possible cases of binding conditions and actions. The significance of the finding is adding an open object-oriented interface on top of relational database system for database interoperability and in the development of an object-relational database management system.

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31

Gijsbers, P. J. A. "DELFTMDD: A tool for integration of independent models in a decision support system." Water Science and Technology 39, no. 4 (February 1, 1999): 193–201. http://dx.doi.org/10.2166/wst.1999.0206.

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The need for integrated analysis poses a request for integration of computer models, paying extra attention to interfaces, data management and user interaction. Sector wide standardization using data dictionaries and data exchange formats can be a great help in streamlining data exchange. However, this type of standardization can have some drawbacks for a generic framework for model integration. Another concept, called Model Data Dictionary (MDD), has been developed as an alternative for proper data management. The concept is a variant on the federated database concept, a concept where local databases maintain their autonomy, while an interconnection database provides a link for sharing data. The MDD is based on a highly generic data model for geographic referenced objects, which if needed facilitates mapping of the sector wide data dictionary. External interfaces provide, in combination with a data format mapping component, a link to SQL-based data sources and model specific databases. A generic Object Data Editor (ODE), linked to the MDD, has been proposed for provision of a common data editing facility for mathematical models. A test version of the combined MDD/ODE-concept has shown the applicability for integration of all kinds of geographic object oriented mathematical models (both simulation and optimization).

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32

HAWRYSZKIEWYCZ, IGOR, DIMITRIS KARAGIANNIS, LESZEK MACIASZEK, and BERND TEUFEL. "RESPONSE — REQUIREMENTS SPECIFIC OBJECT MODEL FOR WORKGROUP COMPUTING." International Journal of Cooperative Information Systems 03, no. 03 (September 1994): 293–318. http://dx.doi.org/10.1142/s021821579400017x.

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Assisted by the client-server architectures, power of contemporary workstations, and new multimedia, database and communication techniques, the workgroup computing (perhaps better known as CSCW — Computer-Supported Cooperative Work) is bound to change the way people in organizations collaborate to achieve common goals. New computer technologies change the way the cooperative work is conducted and they frequently lead to new practices that increase inter-personal productivity and business efficiency. This article defines a conceptual and technological framework for a class of workgroup computing applications characterized by an asynchronous distributed interaction (different-time/different-place) during the development of shared artifacts. The proposed object model is called RESPONSE (REquirements SPecific Object Network System Environment). The model is "requirements specific" as it aims specifically at one, albeit dominant, class of workgroup applications. A particular workgroup application, chosen as representative of our model and used in examples, is the co-authoring of documents. The proposed model determines functions and support required from hardware/ software platforms for workgroup computing. The object database component of such a platform is emphasized. A distributed management of versioned objects using four levels of workspaces is proposed. The model supports long transactions with persistent locks, checkout/checkin of versioned and unversioned objects, social and technical protocols to enhance the cooperation between users, etc. The workgroup interface for the RESPONSE model is also addressed.

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Gou, Ping Zhang, and Yong Zhong Tang. "Researches on the Object-Oriented Model of Distributed Image Database." Applied Mechanics and Materials 543-547 (March 2014): 2184–87. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2184.

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Combined with the characteristics of the image data, this study contrasted four kinds of data model. Then it analyzed the three kinds of realization methods of image database, comparative analysis of management modes of the distributed image database finally.

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34

Guerrini, Giovanna, Elisa Bertino, Barbara Catania, and Jesus Garcia-Molina. "A formal model of views for object-oriented database systems." Theory and Practice of Object Systems 3, no. 3 (1997): 157–83. http://dx.doi.org/10.1002/(sici)1096-9942(1997)3:3<157::aid-tapo1>3.0.co;2-r.

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35

YANNAKOUDAKIS, EMMANUEL J., and HUSSAIN A. ATTAR‐BASHI. "THE SUBJECT‐OBJECT RELATIONSHIP INTERFACE MODEL IN DATABASE MANAGEMENT SYSTEMS." Journal of Documentation 45, no. 1 (January 1989): 25–48. http://dx.doi.org/10.1108/eb026837.

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36

Gyssens, Marc, Jan Paredaens, and Dirk Van Gucht. "A graph-oriented object model for database end-user interfaces." ACM SIGMOD Record 19, no. 2 (May 1990): 24–33. http://dx.doi.org/10.1145/93605.93616.

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37

Jung, Eui S., and Dongseok Kang. "An object-oriented anthropometric database for developing a man model." International Journal of Industrial Ergonomics 15, no. 2 (February 1995): 103–10. http://dx.doi.org/10.1016/0169-8141(94)00024-w.

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38

Highland, Harold Joseph. "Virtual View Model to Design a Secure Object-Oriented Database." Computers & Security 14, no. 1 (January 1995): 31. http://dx.doi.org/10.1016/0167-4048(95)97011-x.

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39

Özsu, M. Tamer, and Dave D. Straube. "Issues in query model design in object-oriented database systems." Computer Standards & Interfaces 13, no. 1-3 (October 1991): 157–67. http://dx.doi.org/10.1016/0920-5489(91)90024-t.

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40

Elekné Fodor, Veronika, and József Pájer. "Application of Environmental Information Systems in Environmental Impact Assessment (in Hungary)." Acta Silvatica et Lignaria Hungarica 13, no. 1 (June 1, 2017): 55–67. http://dx.doi.org/10.1515/aslh-2017-0004.

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AbstractThe primary research aim was to explore the possibilities of transferring relevant data from information systems and databases required for practical environmental impact assessment. The necessary and adequate data content of environmental impact studies were defined according to legal regulations, expert recommendations as well as available impact studies. Furthermore, the data content of information systems pertinent to environmental impact analysis were investigated in view of data transmission. Disposing of the primary data required for impact studies, the classification of environmental objects (object class, object group, object type) was performed. Based on the latter, a pattern system design was completed; in the course of developing this, we defined the individual system overlays in the theoretical model, then assigned properties of the individual object types in the database model.

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Jung, Eui S., Dongsoek Kang, Sung H. Han, and Min K. Chung. "Development of an Object-oriented Anthropometric Database for an Ergonomic Man Model." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 10 (October 1993): 836–40. http://dx.doi.org/10.1177/154193129303701040.

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An object-oriented anthropometric database was developed as a framework of integrating into an ergonomic interface model, data for workplace modelling, and ergonomic evaluation functions as well as basic anthropometric data required to construct a man model. In order to develop an ergonomic man model representing operators that interact with their working environments, not only anthropometric data but also efficient handling of such data and accurate representation of the workspace are needed as a prerequisite to proper ergonomic evaluation. In this research, these three sets of data with distinct characteristics were incorporated into a common integrated database needed for the manipulation of an ergonomic man model together with the generation of an anthropometric man itself. An object-oriented database scheme was used for designing the database to achieve flexibility and expandability, and to efficiently interface to any CAD system. UniSQL/X, an object-oriented database management system and the X-window system on a SPARC workstation were used for implementation. The ergonomic man model generated from the object-oriented database is found to possess great flexibility and performance compared with existing ergonomic interface models or ergonomic CAD systems.

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BATORY, DON, and DEVANG VASAVADA. "SOFTWARE COMPONENTS FOR OBJECT-ORIENTED DATABASE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 03, no. 02 (June 1993): 165–92. http://dx.doi.org/10.1142/s0218194093000082.

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Genesis is a software system generator for database management systems that relies exclusively on as-is large scale component reuse. We review the general model of software components on which Genesis is based and discuss component libraries for relational database systems that we have implemented. We then explain how we have evolved Genesis and its libraries to be able to synthesize object-oriented database systems. We study a subproblem of creating “self-tuning” software systems by examining the performance of selected components for object-oriented database systems.

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Ming, John, and Bir Bhanu. "ORACLE: An Integrated Learning Approach for Object Recognition." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 06 (September 1997): 961–90. http://dx.doi.org/10.1142/s0218001497000445.

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Model-based object recognition has become a popular paradigm in computer vision research. In most of the current model-based vision systems, the object models used for recognition are generally a priori given (e.g. obtained using a CAD model). For many object recognition applications, it is not realistic to utilize a fixed object model database with static model features. Rather, it is desirable to have a recognition system capable of performing automated object model acquisition and refinement. In order to achieve these capabilities, we have developed a system called ORACLE: Object Recognition Accomplished through Consolidated Learning Expertise. It uses two machine learning techniques known as Explanation-Based Learning (EBL) and Structured Conceptual Clustering (SCC) combined in a synergistic manner. As compared to systems which learn from numerous positive and negative examples, EBL allows the generalization of object model descriptions from a single example. Using these generalized descriptions, SCC constructs an efficient classification tree which is incremently built and modified over time. Learning from experience is used to dynamically update the specific feature values of each object. These capabilities provide a dynamic object model database which allows the system to exhibit improved performance over time. We provide an overview of the ORACLE system and present experimental results using a database of thirty aircraft models.

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Lin, Guan-Ting, Vinay Malligere Shivanna, and Jiun-In Guo. "A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications." Sensors 20, no. 18 (September 15, 2020): 5269. http://dx.doi.org/10.3390/s20185269.

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This paper proposes a deep-learning model with task-specific bounding box regressors (TSBBRs) and conditional back-propagation mechanisms for detection of objects in motion for advanced driver assistance system (ADAS) applications. The proposed model separates the object detection networks for objects of different sizes and applies the proposed algorithm to achieve better detection results for both larger and tinier objects. For larger objects, a neural network with a larger visual receptive field is used to acquire information from larger areas. For the detection of tinier objects, the network of a smaller receptive field utilizes fine grain features. A conditional back-propagation mechanism yields different types of TSBBRs to perform data-driven learning for the set criterion and learn the representation of different object sizes without degrading each other. The design of dual-path object bounding box regressors can simultaneously detect objects in various kinds of dissimilar scales and aspect ratios. Only a single inference of neural network is needed for each frame to support the detection of multiple types of object, such as bicycles, motorbikes, cars, buses, trucks, and pedestrians, and to locate their exact positions. The proposed model was developed and implemented on different NVIDIA devices such as 1080 Ti, DRIVE-PX2 and Jetson TX-2 with the respective processing performance of 67 frames per second (fps), 19.4 fps, and 8.9 fps for the video input of 448 × 448 resolution, respectively. The proposed model can detect objects as small as 13 × 13 pixels and achieves 86.54% accuracy on a publicly available Pascal Visual Object Class (VOC) car database and 82.4% mean average precision (mAP) on a large collection of common road real scenes database (iVS database).

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KIM, WON, YOON-JOON LEE, and JUNGYUN SEO. "A FRAMEWORK FOR SUPPORTING TRIGGERS IN OBJECT-ORIENTED DATABASE SYSTEMS." International Journal of Cooperative Information Systems 01, no. 01 (March 1992): 127–43. http://dx.doi.org/10.1142/s0218215792000064.

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An active database system reacts to a set of external events such as a timer interrupt or access to a particular object in the database. A trigger is a general mechanism for active data management, both in the context of a centralized system or a distributed system (including that of autonomous and cooperating agents). It consists of three parts; event specification, integrity constraint specification, and action specification. The event specification in a trigger is a set of events which will cause the condition in the constraint specification to be checked. If the condition is true, the actions in the action specification will be initiated. In this paper, we develop a framework for supporting triggers in object-oriented database systems. The framework consists of a categorization for each of the three components of a trigger. The framework is first cast in the context of the relational model of data, and is then extended to account for object-oriented concepts that constitute an object-oriented data model, including nested objects, methods, and inheritance hierarchy.

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TRIGANO, PHILIPPE, JEAN-PAUL BARTHES, CATHERINE GREBOVAL, and FRANÇOIS VALLERNAUD. "QUERYING AN OBJECT-ORIENTED DATABASE USING FREE LANGUAGE." International Journal of Pattern Recognition and Artificial Intelligence 04, no. 03 (September 1990): 429–45. http://dx.doi.org/10.1142/s0218001490000265.

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A man-machine interface in natural language for a DataBase Management System (DBMS) called VORAS, based upon semantics, is presented. This DBMS can also be used for knowledge representation, and is well-suited to the design of queries in natural language. The system VORAS is an object-oriented DBMS developed from a specific model of representation called the Property Driven Model (PDM). A user may write a query in natural language. Most of the analysis is done at a semantic level. A syntactic level has been added, to improve the performance of the system. However, it is still possible to use a short-hand style.

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Abdul Rahman, A., H. Rashidan, I. A. Musliman, G. Buyuksalih, S. Bayburt, and P. Baskaraca. "3D GEOSPATIAL DATABASE SCHEMA FOR ISTANBUL 3D CITY MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 11–16. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-11-2019.

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Abstract. This paper describes the development of 3D database for Istanbul 3D city models. The schema is based on object-relational technology and also called spatially-enhanced relational database management system (SRDBMS). The 3D city models were generated based on LiDAR points cloud with other several typical GIS datasets like terrain, orthophoto, Point of Interests (POIs), and other attribute data. The database is based on PostGIS schema and CityGML schema (3DCityDB). Two major datasets, namely, terrain data (with several formats), and 3D city models were populated in the database. Terrain and attributes data retrieval are based on Web Feature Service (WFS) whereas 3D models were visualized via 3D Tiles format in Cesium platform. Two issues were also highlighted in the paper with respect to 3D attributes linkages and 3D complex objects.

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Kang, Xujie, Jing Li, Xiangtao Fan, Hongdeng Jian, and Chen Xu. "Object-Level Semantic Map Construction for Dynamic Scenes." Applied Sciences 11, no. 2 (January 11, 2021): 645. http://dx.doi.org/10.3390/app11020645.

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Visual simultaneous localization and mapping (SLAM) is challenging in dynamic environments as moving objects can impair camera pose tracking and mapping. This paper introduces a method for robust dense bject-level SLAM in dynamic environments that takes a live stream of RGB-D frame data as input, detects moving objects, and segments the scene into different objects while simultaneously tracking and reconstructing their 3D structures. This approach provides a new method of dynamic object detection, which integrates prior knowledge of the object model database constructed, object-oriented 3D tracking against the camera pose, and the association between the instance segmentation results on the current frame data and an object database to find dynamic objects in the current frame. By leveraging the 3D static model for frame-to-model alignment, as well as dynamic object culling, the camera motion estimation reduced the overall drift. According to the camera pose accuracy and instance segmentation results, an object-level semantic map representation was constructed for the world map. The experimental results obtained using the TUM RGB-D dataset, which compares the proposed method to the related state-of-the-art approaches, demonstrating that our method achieves similar performance in static scenes and improved accuracy and robustness in dynamic scenes.

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Kang, Xujie, Jing Li, Xiangtao Fan, Hongdeng Jian, and Chen Xu. "Object-Level Semantic Map Construction for Dynamic Scenes." Applied Sciences 11, no. 2 (January 11, 2021): 645. http://dx.doi.org/10.3390/app11020645.

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Visual simultaneous localization and mapping (SLAM) is challenging in dynamic environments as moving objects can impair camera pose tracking and mapping. This paper introduces a method for robust dense bject-level SLAM in dynamic environments that takes a live stream of RGB-D frame data as input, detects moving objects, and segments the scene into different objects while simultaneously tracking and reconstructing their 3D structures. This approach provides a new method of dynamic object detection, which integrates prior knowledge of the object model database constructed, object-oriented 3D tracking against the camera pose, and the association between the instance segmentation results on the current frame data and an object database to find dynamic objects in the current frame. By leveraging the 3D static model for frame-to-model alignment, as well as dynamic object culling, the camera motion estimation reduced the overall drift. According to the camera pose accuracy and instance segmentation results, an object-level semantic map representation was constructed for the world map. The experimental results obtained using the TUM RGB-D dataset, which compares the proposed method to the related state-of-the-art approaches, demonstrating that our method achieves similar performance in static scenes and improved accuracy and robustness in dynamic scenes.

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Park, Hyun Sang, Hune Cho, Sung Jung Hong, and Hwa Sun Kim. "Development and Application of the Nursing Process Database based on the Object-oriented Database Model." Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology 5, no. 6 (December 31, 2015): 167–75. http://dx.doi.org/10.14257/ajmahs.2015.12.16.

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