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Graph-based Visualization of Requirements Relationships
2008
2008 Requirements Engineering Visualization
Understanding the relationships between requirements is important in order to understand the requirements themselves. Existing requirements management tools mainly use lists, tables, trees, and matrices to visualize requirements and their interrelations. However, all these visualization forms have a limited capability to show multiple relationships of different types. In this paper, we propose to extend traditional requirements analysis and management by a graphbased visualization that allows
doi:10.1109/rev.2008.2
fatcat:jzx7cc3r3rgnze4vyrw4qdo4ca
more »
... represent multidimensional relations in a direct and flexible way. In particular, we propose a special presentation form that enables the exploration of requirements along their relationships and facilitates understanding of dependencies between requirements.
Querying the Semantic Web and analyzing the query results are often complex tasks that can be greatly facilitated by visual interfaces. A major challenge in the design of these interfaces is to provide intuitive and efficient interaction support without limiting too much the analytical degrees of freedom. This paper introduces SemLens, a visual tool that combines scatter plots and semantic lenses to overcome this challenge and to allow for a simple yet powerful analysis of RDF data. The scatter
doi:10.1145/2063518.2063543
dblp:conf/i-semantics/HeimLTE11
fatcat:nq5toph65vcufmv3ldal3af6wy
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... plots provide a global overview on an object collection and support the visual discovery of correlations and patterns in the data. The semantic lenses add dimensions for local analysis of subsets of the objects. A demo accessing DBpedia data is used for illustration.
H_2 Pseudo-Optimal Reduction of Structured DAEs by Rational Interpolation
[article]
2018
arXiv
pre-print
In this contribution, we extend the concept of H_2 inner product and H_2 pseudo-optimality to dynamical systems modeled by differential-algebraic equations (DAEs). To this end, we derive projected Sylvester equations that characterize the H_2 inner product in terms of the matrices of the DAE realization. Using this result, we extend the H_2 pseudo-optimal rational Krylov algorithm for ordinary differential equations to the DAE case. This algorithm computes the globally optimal reduced-order
arXiv:1804.08755v1
fatcat:icrabu5j4rdoxiiei745i2ebti
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... l for a given subspace of H_2 defined by poles and input residual directions. Necessary and sufficient conditions for H_2 pseudo-optimality are derived using the new formulation of the H_2 inner product in terms of tangential interpolation conditions. Based on these conditions, the cumulative reduction procedure combined with the adaptive rational Krylov algorithm, known as CUREd SPARK, is extended to DAEs. Important properties of this procedure are that it guarantees stability preservation and adaptively selects interpolation frequencies and reduced order. Numerical examples are used to illustrate the theoretical discussion. Even though the results apply in theory to general DAEs, special structures will be exploited for numerically efficient implementations.
Interactive Relationship Discovery via the Semantic Web
[chapter]
2010
Lecture Notes in Computer Science
This paper presents an approach for the interactive discovery of relationships between selected elements via the Semantic Web. It emphasizes the human aspect of relationship discovery by offering sophisticated interaction support. Selected elements are first semi-automatically mapped to unique objects of Semantic Web datasets. These datasets are then crawled for relationships which are presented in detail and overview. Interactive features and visual clues allow for a sophisticated exploration
doi:10.1007/978-3-642-13486-9_21
fatcat:b3d6zitvvnbilnpq5gc5dzacxi
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... f the found relationships. The general process is described and the RelFinder tool as a concrete implementation and proof-of-concept is presented and evaluated in a user study. The application potentials are illustrated by a scenario that uses the RelFinder and DBpedia to assist a business analyst in decision-making. Main contributions compared to previous and related work are data aggregations on several dimensions, a graph visualization that displays and connects relationships also between more than two given objects, and an advanced implementation that is highly configurable and applicable to arbitrary RDF datasets.
Sättigende weiche strukturvariable Regelung (Saturated Soft Variable-structure Control)
2008
at - Automatisierungstechnik
Der Beitrag beschreibt eine weiche strukturvariable Regelung mit dem Ziel, lineare Strecken mit Stellgrößenbegrenzung nahezu zeitoptimal in eine Ruhelage zu überführen. Dazu werden gezielt Reglerverstärkungen verwendet, die in großen Bereichen des Zustandsraums zu einer Sättigung der Stellgröße führen. Dynamik und Robustheit der Regelung können über zwei Parameter in transparenter Weise eingestellt werden; der numerische Aufwand ist vergleichsweise gering. This paper presents a saturated, soft
doi:10.1524/auto.2008.0710
fatcat:ezsk3ptbpfedfdlcosdq2cixsa
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... ariable-structure controller. The aim of the controller is a nearly time-optimal transfer of linear systems with input saturation into a desired equilibrium point. For this purpose feedback gains are used which lead in large areas of the state-space to a saturated input signal. The dynamic and the robustness of the controller can be tuned transparently by two parameters; the numercial effort is considered as comparatively low. Schlagwörter: Weiche strukturvariable Regelung, nahezu zeitoptimale Regelung, Stellgrößenbegrenzungen
RelFinder: Revealing Relationships in RDF Knowledge Bases
[chapter]
2009
Lecture Notes in Computer Science
The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the contained information opens up new possibilities in the way it can be accessed and queried. In this paper, we present an approach that extracts a graph covering relationships between two objects of interest. We show an interactive visualization of this graph that supports the systematic analysis of the found relationships by
doi:10.1007/978-3-642-10543-2_21
fatcat:yw2yylsvxvg2ljm4f6ypgfhnsy
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... oviding highlighting, previewing, and filtering features. 4 http://www.w3.org/RDF/ 5 http://www.w3.org/TR/owl-features/
Radiomics in radiation oncology—basics, methods, and limitations
2020
Strahlentherapie und Onkologie (Print)
Lohmann, K. Bousabarah, M. Hoevels, and H. Treuer declare that they have no competing interests. ...
doi:10.1007/s00066-020-01663-3
pmid:32647917
fatcat:nluyxntwzjde7fcdimb7fqmooi
Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology
2020
Neuro-Oncology Advances
Recent developments in terms of feature-based PET/MRI radiomics are summarized by Lohmann et al. 6 Several studies demonstrated that the combination of amino acid PET and MRI radiomics encodes more diagnostic ...
doi:10.1093/noajnl/vdaa179
pmid:33521635
pmcid:PMC7829469
fatcat:2jlkg734yzf6djafnwprt724de
Semantic Integrator: Semi-Automatically Enhancing Social Semantic Web Environments
2007
Conference on Social Semantic Web
Large amounts of information from various sources have often to be considered when collaboratively developing semantic structures. Examining all relevant information can be very demanding and time consuming. Thus, methods and tools are needed that assist in the integration of this heterogeneous and distributed information. Based on an approach that uses Social Software and Semantic Web technology in requirements engineering, this paper describes the general concept and architecture of the
dblp:conf/cssw/LohmannHZ07
fatcat:jzqycjxdc5ea7ib67kokik3lz4
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... ic Integrator, a tool that aims at visually support the integration of distributed information into semantic structures. 1 By Social Semantic Web Environments we mean community platforms that combine Social Software and Semantic Web technologies (e.g. Semantic Wikis).
The RelFinder user interface
2010
Proceedings of the 15th international conference on Intelligent user interfaces - IUI '10
Being aware of the relationships that exist between objects of interest is crucial in many situations. The RelFinder user interface helps to get an overview: Even large amounts of relationships can be visualized, filtered, and analyzed by the user. Common concepts of knowledge representation are exploited in order to support interactive exploration both on the level of global filters and single relationships. The RelFinder is easy-to-use and works on every RDF knowledge base that provides standardized SPARQL access.
doi:10.1145/1719970.1720052
dblp:conf/iui/LohmannHSZ10
fatcat:biluiwarungl3gffgeeivv75i4
Moving Horizon Estimation for Nonlinear Networked Control Systems with Unsynchronized Timescales
2011
IFAC Proceedings Volumes
A moving horizon observer has been designed in Philipp and Lohmann (2009) , capable of dealing with variable time delays and packet drops. ...
In the following, the approach developed in Philipp (2011b) for computing these sensitivities is extended. ...
doi:10.3182/20110828-6-it-1002.02506
fatcat:4oqaarzm6zdbbixovfdm3gjcxm
Exploring Relationships between Annotated Images with the ChainGraph Visualization
[chapter]
2009
Lecture Notes in Computer Science
., for the tags 'nikon', 'philipp', or 'dcdead'); in others, nodes overlap image parts (e.g., the tags 'green' or 'great'). ...
doi:10.1007/978-3-642-10543-2_4
fatcat:j4v3rwiobzfjfag3b3e6yyzvty
Current Status of PET Imaging in Neuro-Oncology
2019
Neuro-Oncology Advances
Over the past decades, a variety of PET tracers have been used for the evaluation of patients with brain tumors. For clinical routine, the most important clinical indications for PET imaging in patients with brain tumors are the identification of neoplastic tissue including the delineation of tumor extent for the further diagnostic and therapeutic management (ie, biopsy, resection, or radiotherapy planning), the assessment of response to a certain anticancer therapy including its (predictive)
doi:10.1093/noajnl/vdz010
pmid:32642650
pmcid:PMC7324052
fatcat:na36o6fkgvgi7lj435hdp4qpde
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... fect on the patients' outcome and the differentiation of treatment-related changes (eg, pseudoprogression and radiation necrosis) from tumor progression at follow-up. To serve medical professionals of all disciplines involved in the diagnosis and care of patients with brain tumors, this review summarizes the value of PET imaging for the latter-mentioned 3 clinically relevant indications in patients with glioma, meningioma, and brain metastases.
gFacet: A Browser for the Web of Data
2008
International Conference on Semantics and Digital Media Technologies
This paper introduces a new approach to browsing the Web of data by combining graph-based visualization with faceted filtering techniques. The graph-based visualization of facets supports the integration of different domains and an efficient exploration of highly structured and interrelated datasets. It allows to access information from distant user-defined perspectives and thereby enables the exploration beyond the borders of Web pages.
dblp:conf/samt/HeimZL08
fatcat:cjkpg33jvffethodhztca2yrii
Monoubiquitination of Ancient Ubiquitous Protein 1 Promotes Lipid Droplet Clustering
2013
PLoS ONE
Lipid droplets, the intracellular storage organelles for neutral lipids, exist in a wide range of sizes and of morphologically distinct organization, from loosely dispersed lipid droplets to tightly packed lipid droplet clusters. We show that the lipid droplet protein AUP1 induces cluster formation. A fraction of AUP1 is monoubiquitinated at various lysine residues. This process depends on its internal CUE domain, which is a known ubiquitin-binding domain. AUP1 with a deleted or point
doi:10.1371/journal.pone.0072453
pmid:24039768
pmcid:PMC3764060
fatcat:araptk4bizbpjjbcktkw5uu5hy
more »
... d CUE domain, as well as a lysine-free mutant, are not ubiquitinated and do not induce lipid droplet clustering. When such ubiquitination deficient mutants are fused to ubiquitin, clustering is restored. AUP1 mutants with defective droplet targeting fail to induce clustering. Also, another lipid droplet protein, NSDHL, with a fused ubiquitin does not induce clustering. The data indicate that monoubiquitinated AUP1 on the lipid droplet surface specifically induces clustering, and suggest a homophilic interaction with a second AUP1 molecule or a heterophilic interaction with another ubiquitin-binding protein.
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