SciTePress - Affiliation Profile

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Affiliation

Select a Subject
Refine Ontology Subject

Technical University of Darmstadt, Germany

Context (please use complete words only)

Field

Sort by

7 Papers

Ontology-based Representation of Time Dependent Uncertainty Information for Parametric Product Data Models

Topic: Tools and Technology for Knowledge Management

Authors: Maximilian Zocholl ¹ and Reiner Anderl ²

Affiliations: ¹ Technical University Darmstadt, Germany , ² Technische Universität Darmstadt, Germany

Digital Object Identifier: 10.5220/0005158004000404

Proceedings of KMIS 2014/IC3K, ISBN: 978-989-758-050-5

Quick Abstract

The lack of information about uncertain conditions in manufacturing and the behaviour of load carrying systems still lead to fatal design decisions. Semantic technologies provide the necessary capabilities to link information from different domains along the product lifecycle and enable engineers to cope with uncertainty. This paper presents an overview of existing literature in the fields of semantics in CAD and PLM. We identify future research challenges and present our concept for the integration of uncertainty information in parametric CAD models.

Related Ontology Subjects/Areas/Topics (5)

Artificial Intelligence		Knowledge-Based Systems		Tools and Technology for Knowledge Management
Knowledge Management and Information Sharing		Symbolic Systems

ESTIMATION OF CURVATURES IN POINT SETS BASED ON GEOMETRIC ALGEBRA

Topics: Computational Geometry; Surface Geometry and Shape; Recognizing 3-D Object Shapes from Range Data

Authors: Helmut Seibert ¹ , Dietmar Hildenbrand ² , Meike Becker ² and Arjan Kuijper ¹

Affiliations: ¹ Fraunhofer Institute for Computer Graphics Research, Germany , ² Technical University of Darmstadt, Germany

Digital Object Identifier: 10.5220/0002817800120019

Proceedings of VISAPP 2010/VISIGRAPP, ISBN: 978-989-674-028-3

Quick Abstract

For applications like segmentation, feature extraction and classification of point sets it is essential to know the principal curvatures and the corresponding principal directions. For the purpose of curvature estimation conformal geometric algebra promises to be a natural mathematical language: Local curvatures can be described with the help of osculating circles or spheres. On one hand, conformal geometric algebra is able to directly compute with these geometric objects, as well as with lines and planes needed for the description of vanishing curvature. On the other hand, distance measures for fitting these objects into point sets can be handled in a linear way, leading to efficient algorithms. In this paper we use conformal geometric algebra advantageously in order to locally compute continuous curvatures as well as principal curvatures of point sets without the need of costly pre-processing of raw data. We show results on artificial and real data. Numerical verification on artificial data shows the accuracy of our approach. Furthermore, the results are obtained in a fast manner and are also visually satisfactory.

Related Ontology Subjects/Areas/Topics (5)

Computational Geometry		Image and Video Analysis		Surface Geometry and Shape
Computer Vision, Visualization and Computer Graphics		Image Formation and Preprocessing

AN APPROACH TO SUPPORT INTERDISCIPLINARY VARIANT DIVERSITY OPTIMIZATION - Planning Variant Diversity – Beyond Complexity Reduction

Topics: Decision Support Systems; Intelligent Problem Solving

Authors: Reiner Anderl , Sebastian Maltzahn and Daniel Spieß

Affiliation: Technische Universität Darmstadt, Germany

Digital Object Identifier: 10.5220/0002295404080411

Proceedings of KEOD 2009/IC3K, ISBN: 978-989-674-012-2

Quick Abstract

The increasing number of variants in manufacturing companies’ product ranges leads to rising costs due to process and product complexity. The expected profit of higher diversity is often overrated while its costs are underestimated because of missing methods and insufficient process transparency. This paper introduces a methodical approach to identify the optimal diversity considering available capacities and the effects on profit and costs for each variant to support variant decisions within the product and process planning. Therefore a mathematical model of the described diversity planning problem is developed. This complex decision problem is solved using a particle swarm algorithm, which is able to compute the optimal solution within reasonable time. The found solutions can be discussed and evaluated by an interdisciplinary planning team considering even qualitative aspects, leading to an increased transparency in the decision process.

Related Ontology Subjects/Areas/Topics (8)

Artificial Intelligence	Intelligent Problem Solving	Software Engineering
Decision Support Systems	Knowledge Engineering and Ontology Development	Symbolic Systems
Enterprise Software Technologies	Knowledge-Based Systems

ONTOLOGY SUPPORT FOR PRODUCT DEVELOPMENT - Successful Application of Ontologies in Product Development

Topic: Applications and Case-Studies

Authors: Reiner Anderl , Kai Mecke , Andre Sprenger and Oliver Weitzmann

Affiliation: Darmstadt Technical University, Germany

Digital Object Identifier: 10.5220/0002298201770182

Proceedings of KEOD 2009/IC3K, ISBN: 978-989-674-012-2

Quick Abstract

Today knowledge management is a very important factor for the success of enterprises. To support knowledge management ontologies have been established. In the product development a lot of knowledge, methods and workflows are used, which have to be protected, managed and distributed. The challenge to manage the diversity of product development knowledge is to combine knowledge management methods and requirements of product development. For this purpose we present functions to support access rights for ontologies, integration of new information, release and storage of information (workflow). Another function to support the efficient work with knowledge is to use templates in order to reduce time and mistakes while integrating information and knowledge in the system. These functions are integrated into the ontology-based product development system (OPDS); the system fulfills the requirements of the product development and used knowledge representation forms.

Related Ontology Subjects/Areas/Topics (5)

Applications and Case-studies		Knowledge Engineering and Ontology Development		Symbolic Systems
Artificial Intelligence		Knowledge-Based Systems

ANALYSIS OF POINT CLOUDS - Using Conformal Geometric Algebra

Topics: Geometric Computing; Fundamental Methods and Algorithms

Authors: Dietmar Hildenbrand ¹ and Eckhard Hitzer ²

Affiliations: ¹ Research Center of Excellence for Computer Graphics, University of Technology, Germany , ² University of Fukui, Japan

Digital Object Identifier: 10.5220/0001094100990106

Proceedings of GRAPP 2008/VISIGRAPP, ISBN: 978-989-8111-20-3

Quick Abstract

This paper presents some basics for the analysis of point clouds using the geometrically intuitive mathematical framework of conformal geometric algebra. In this framework it is easy to compute with osculating circles for the description of local curvature. Also methods for the fitting of spheres as well as bounding spheres are presented. In a nutshell, this paper provides a starting point for shape analysis based on this new, geometrically intuitive and promising technology.

Related Ontology Subjects/Areas/Topics (4)

Computer Vision, Visualization and Computer Graphics		Geometric Computing		Geometry and Modeling
Fundamental Methods and Algorithms

EFFICIENT INVERSE KINEMATICS ALGORITHM BASED ON CONFORMAL GEOMETRIC ALGEBRA - Using Reconfigurable Hardware

Topics: Animation Algorithms and Techniques; Character Animation; Human Figure Animation

Authors: Dietmar Hildenbrand ¹ , Holger Lange ² , Florian Stock ² and Andreas Koch ²

Affiliations: ¹ Research Center of Excellence for Computer Graphics, University of Technology, Germany , ² Embedded Systems and Applications Group, University of Technology, Germany

Digital Object Identifier: 10.5220/0001094603000307

Proceedings of GRAPP 2008/VISIGRAPP, ISBN: 978-989-8111-20-3

Quick Abstract

This paper presents a very efficient approach for algorithms developed based on conformal geometric algebra using reconfigurable hardware. We use the inverse kinematics of the arm of a virtual human as an example, but we are convinced that this approach can be used in a wide field of computer animation applications. We describe the original algorithm on a very high geometrically intuitive level as well as the resulting optimized algorithm based on symbolic calculations of a computer algebra system. The main focus then is to demonstrate our approach for the hardware implementation of this algorithm leading to a very efficient implementation.

Related Ontology Subjects/Areas/Topics (5)

Animation Algorithms and Techniques		Character Animation		Human Figure Animation
Animation and Simulation		Computer Vision, Visualization and Computer Graphics

LEARNING BY DOING AND LEARNING WHEN DOING - Dovetailing E-Learning and Decision Support with a Data Mining Tutor

Topic: e-Learning

Authors: Klaus P. Jantke ¹ , Steffen Lange ¹ , Gunter Grieser ² , Peter Grigoriev ² , Bernhard Thalheim ³ and Bernd Tschiedel ⁴

Affiliations: ¹ German Research Center for Artificial Intelligence, Germany , ² Technical University of Darmstadt, Germany , ³ Christian-Albrechts-University of Kiel, Germany , ⁴ Technical University of Cottbus, Germany

Digital Object Identifier: 10.5220/0002623602380241

Proceedings of ICEIS 2004, ISBN: 972-8865-00-7

Quick Abstract

In this paper, e-learning meets decision support in enterprises’ business practice. This presentation is based on an on-line e-learning system named DaMiT for the domain of knowledge discovery and data mining (see http://damit.dfki.de). The DaMiT system has primarily been developed for technology enhanced learning in German academia. It is now on the cusp of entering training on demand in enterprises. Simple stand-alone e-learning seems quite unrealistic and does not meet the needs of industry. It is very unlikely that employees take a detour to study theory of whatever sort. More likely, they are willing to engage in studies whenever the need derives directly from their practical work. In those cases, they might even be willing to dive into theory. How to dovetail e-learning and enterprise business applications, such that both sides benefit from it?

Related Ontology Subjects/Areas/Topics (8)

Applications	e-Learning	Knowledge Management and Information Sharing
e-Business	Enterprise Information Systems	Knowledge-Based Systems
Education/Learning	Human-Computer Interaction