Logic Data Modeling Tools

2001 ◽  
pp. 80-110
Author(s):  
Arthur M. Langer
Keyword(s):  
Data Modeling ◽  
Modeling Tools

Combining 3D Simulation Technology With Object-Oriented Databases: A Database Oriented Approach to Virtual Reality Systems

2011 ◽  
Author(s):  
Martin Hoppen ◽  
Juergen Rossmann ◽  
Michael Schluse ◽  
Ralf Waspe ◽  
Malte Rast
Keyword(s):  
Virtual Reality ◽  
Data Modeling ◽  
Object Oriented ◽  
Simulation System ◽  
Primary Data ◽  
Graph Database ◽  
Modeling Tools ◽  
External Database ◽  
Object Oriented Databases ◽  
Oriented Approach

Using object-oriented databases as the primary data source in VR applications has a variety of advantages, but requires the development of new techniques concerning data modeling, data handling and data transfer from a Virtual Reality system’s point of view. The many advantages are outlined in the first part of this paper. We first introduce versioning and collaboration techniques as our main motivation. These can also be used in the traditional file based approach, but are much more powerful when realized with a database on an object and attribute level. Using an object-oriented approach to data modeling, objects of the real world can be modeled more intuitively by defining appropriate classes with their relevant attributes. Furthermore, databases can function as central communication hubs for consistent multi user interaction. Besides, the use of databases with open interface standards allows to easily cooperate with other applications such as modeling tools and other data generators. The second part of this paper focuses on our approach to seamlessly integrate such databases in Virtual Reality systems. For this we developed an object-oriented internal graph database and linked it to object-oriented external databases for central storage and collaboration. Object classes defined by XML data schemata allow to easily integrate new data models in VR applications at run-time. A fully transparent database layer in the simulation system makes it easy to interchange the external database. We present the basic structure of our simulation graph database, as well as the mechanisms which are used to transparently map data and meta-data from the external database to the simulation database. To show the validity and flexibility of our approach selected applications realized with our simulation system so far e. g. applications based on geoinformation databases such as forest inventory systems and city models, applications in the field of distributed control and simulation of assembly lines or database-driven virtual testbeds applications for automatic map generation in planetary landing missions are introduced.

Toward the Next Generation of Data Modeling Tools

1985 ◽  
Vol SE-11 (9) ◽  
pp. 966-970 ◽  
Author(s):  
C.R. Carlson ◽  
A.K. Arora
Keyword(s):  
Data Modeling ◽  
Next Generation ◽  
Modeling Tools

scholarly journals Principles for managing innovative activities of entities in Russia during the transition to the digital economy

2021 ◽  
Vol 26 (1) ◽  
pp. 107-122
Author(s):  
Sergei A. FILIN ◽  
Alena A. KUZINA
Keyword(s):  
Systems Approach ◽  
Management Accounting ◽  
Data Modeling ◽  
Microsoft Excel ◽  
Modeling Tools ◽  
Budget Model ◽  
Management Technology ◽  
Industry Affiliation ◽  
Bulk Processing ◽  
Modeling Principles

Subject. Budgeting as a management technology is highly sought after by enterprises and groups of companies all over the globe regardless of their industry affiliation and scale of operations. The budgeting methodology is a dynamically developing field of scientific research; it provides tools enabling to solve urgent problems, namely those related to data bulk processing at the stage of planning and generation of budget versions. Objectives. The study aims to justify principles of data modeling in management accounting and budgeting; to develop data modeling tools aimed at achieving the objectives of an enterprise or a group of companies. Methods. In the study, I employ logical analysis methods and a systems approach. Results. The paper substantiates data modeling principles in management accounting and budgeting systems of enterprises and groups of companies. Based on the formulated principles, I developed data modeling tools for implementation in spreadsheets, special applications, and cloud-based technologies. Conclusions. Developing and elaborating the budgeting system of enterprises and groups of companies should be based on data modeling under the principles and approaches to their systematization and structuring formulated in the paper. The offered data modeling tools may be useful in the organization of management accounting and formation of a budget model on all automation platforms, as well as in Microsoft Excel, using Power Pivot and Power Query add-ins.

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

Agile Development with 3D Data Modeling

2015 ◽  
Vol 10 (6) ◽  
pp. 558 ◽  
Author(s):  
Kristian Sestak ◽  
Zdenek Havlice
Keyword(s):  
Data Modeling ◽  
Agile Development ◽  
3D Data

Combining First-Principles and Data Modeling for the Accurate Prediction of the Refractive Index of Organic Polymers

2017 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Chong Cheng ◽  
Johannes Hachmann
Keyword(s):  
First Principles ◽  
Data Modeling ◽  
Accurate Prediction ◽  
Index Of Refraction ◽  
Structure Theory ◽  
Organic Polymers ◽  
Number Density ◽  
Lorenz Equation ◽  
In Silico Studies ◽  
Wide Range

Organic materials with a high index of refraction (RI) are attracting considerable interest due to their potential application in optic and optoelectronic devices. However, most of these applications require an RI value of 1.7 or larger, while typical carbon-based polymers only exhibit values in the range of 1.3–1.5. This paper introduces an efficient computational protocol for the accurate prediction of RI values in polymers to facilitate in silico studies that an guide the discovery and design of next-generation high-RI materials. Our protocol is based on the Lorentz-Lorenz equation and is parametrized by the polarizability and number density values of a given candidate compound. In the proposed scheme, we compute the former using first-principles electronic structure theory and the latter using an approximation based on van der Waals volumes. The critical parameter in the number density approximation is the packing fraction of the bulk polymer, for which we have devised a machine learning model. We demonstrate the performance of the proposed RI protocol by testing its predictions against the experimentally known RI values of 112 optical polymers. Our approach to combine first-principles and data modeling emerges as both a successful and highly economical path to determining the RI values for a wide range of organic polymers.

METHOD FOR SYNTHESIS OF CONCEPTUAL DATA MODELS BASED ON PROCESS DOMAIN MODELS

2020 ◽  
pp. 80-87
Author(s):  
С.И. Рябухин
Keyword(s):  
Data Modeling ◽  
Database Design ◽  
Data Models ◽  
Process Models ◽  
Domain Models ◽  
Conceptual Data

Процессные модели предметной области широко применяются при проектировании баз данных, а именно в ходе концептуального моделирования данных. Предлагается решение проблемы неоднозначности преобразования процессных доменных моделей типа SADT в концептуальные модели данных. Domain process models are widely used in database design, namely in conceptual data modeling. The solution of the problem of ambiguity of transformation of process domain models of the SADT type into conceptual data models is proposed.

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