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Journal: Communications in Computer and Information Science

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Springer

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ISSN

1865-0929
1865-0937

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Publications 1 - 10 of 40
  • Advances in Expressive Animation in the Interactive Performance of a Butoh Dance
    Item type: Book Chapter
    Gutknecht, Jürg; Kulka, Irena; Lukowicz, Paul; et al. (2008)
    Communications in Computer and Information Science ~ Transdisciplinary Digital Art. Sound, Vision and the New Screen
  • A Planning Environment for the Design of Future Cities
    Item type: Book Chapter
    Schmitt, Gerhard (2012)
    Communications in Computer and Information Science ~ Digital Urban Modeling and Simulation
  • Selection of Information-Intensive Services: A Multi-criteria Decision Model
    Item type: Conference Paper
    Mettler, Tobias; Eurich, Markus (2012)
    Communications in Computer and Information Science ~ E-Business and Telecommunications
    The diffusion of the Internet fosters the development and provisioning of large amounts of information-intensive services. Methods and techniques such as heuristics, policy-based approaches, reputation- and trust-based selection techniques, multi-criteria decision analysis, UDDI-extensions, and ontology-based preference modeling approaches have been developed to facilitate the description, discovery, composition, and consumption of these services. Still, consumers face difficulties in selecting the services that best fit their needs. An assessment of the identified techniques suggests that multi-criteria decision analyses are best suited for the selection of information-intensive services. On this basis, a multi-dimensional service selection model is developed, which includes social, technological, economic, and political considerations. The application of this model is demonstrated by means of an exemplary case. This model with the inclusion of decision categories and sub-categories can help service consumers in selecting complex, information-intensive services.
  • Revenue streams and value propositions of cloud-based high performance computing in higher education
    Item type: Conference Paper
    Eurich, Markus; Boutellier, Roman (2015)
    Communications in Computer and Information Science ~ E-Business and Telecommunications: 11th International Joint Conference, ICETE 2014, Vienna, Austria, August 28-30, 2014, Revised Selected Papers
  • A Design-to-Fabrication Workflow for Free-Form Timber Structures Using Offcuts
    Item type: Conference Paper
    Reisach, Dominik; Schütz, Stephan; Willmann, Jan; et al. (2023)
    Communications in Computer and Information Science ~ Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries.
    Currently, the timber industry in the European Union incinerates up to 80% of its waste wood, releasing its embodied CO2 into the atmosphere while producing energy. This practice also affects offcuts, a waste material from structural timber production, mostly because of aesthetic imperfections. However, there are potential architectural use cases for this material that extend its lifetime beyond downcycling. Therefore, we propose to employ these offcuts as load-bearing elements of free-form timber structures and present an integral design-to-fabrication workflow suitable for this task. In this paper, we discuss the underlying method in detail, specifically (1) the computational design process to optimally place timber offcuts and to compute wood joints, (2) the transfer of design data into a robotic fabrication process, and (3) the integration of these findings into a unifying design-to-fabrication workflow and its architectural implications. This process minimizes material waste and facilitates the design and buildup of offcuts into structural configurations, including their dis- and reassembly. The resulting timber morphologies consist of non-standard material aggregated under digital guidance, giving them a distinct aesthetic expression. A series of digital experiments demonstrated the capabilities of the conceived method. Finally, we prove the feasibility of the proposed workflow with the design and robotic fabrication of a full-scale Offcut Demonstrator under real-world conditions.
  • The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Application for Basketball
    Item type: Conference Paper
    Sanguino Bautiste, Francisco Javier; Brunner, Dustin; Koch, Jonathan; et al. (2024)
    Communications in Computer and Information Science ~ Machine Learning and Data Mining for Sports Analytics
    In a world full of data, Decision Support Systems (DSS) based on ML models have significantly emerged. A paradigmatic case is the use of DSS in sports organisations, where a lot of decisions are based on intuition. If the DSS is not well designed, feelings of unusefulness or untrustworthiness can arise from the human decision-makers towards the DSS. We propose a design framework for DSS based on three components (ML model, explainability and interactivity) that overcomes these problems. To validate it, we also present the preliminary results for a DSS for rival team scouting in basketball. The model reaches state of the art performance in game outcome prediction. Explainability and interactivity of our solution also got excellent results in our survey. Finally, we propose some lines of research for DSS design using our framework and for team scouting in basketball.
  • GeoTemCo: Comparative Visualization of Geospatial-Temporal Data with Clutter Removal Based on Dynamic Delaunay Triangulations
    Item type: Conference Paper
    Jänicke, Stefan; Heine, Christian; Scheuermann, Gerik (2013)
    Communications in Computer and Information Science ~ Computer Vision, Imaging and Computer Graphics. Theory and Application : 7th International Joint Conference, VISIGRAPP 2012, Rome, Italy, February 24-26, 2012, Revised Selected Papers
  • Inventing Malleable Scores
    Item type: Conference Paper
    Clay, Arthur (2008)
    Communications in Computer and Information Science ~ Transdisciplinary digital art : sound, vision and the new screen : selected papers
  • MindSet: A Bias-Detection Interface Using a Visual Human-in-the-Loop Workflow
    Item type: Conference Paper
    Kalananthan, Senthuran; Kichutkin, Alexander; Shang, Ziyao; et al. (2024)
    Communications in Computer and Information Science ~ Artificial Intelligence. ECAI 2023 International Workshops
    Handling data artifacts is a critical and unsolved challenge in deep learning. Disregarding such asymmetries may lead to biased and socially unfair predictions, prohibiting applications in high-stake scenarios. In the case of visual data, its inherently unstructured nature makes automated bias detection especially difficult. Thus, a promising remedy is to rely on human feedback. Hu et al. [14] introduced a three-stage theoretical study framework to use a human-in-the-loop approach for bias detection in visual datasets and ran a small-sample study. While showing encouraging results, no implementation is available to enable researchers and practitioners to study their image datasets. In this work, we present a dataset-agnostic implementation based on a highly flexible web app interface. With this implementation, we aim to bring this theoretical framework into practice by following a user-centric approach. We also extend the framework so that the workflow can be adjusted to the researcher's needs in terms of the granularity of detected anomalies.
  • A Semantic Spatial Policy Model to Automatically Calculate Allowable Gross Floor Areas in Singapore
    Item type: Conference Paper
    Grisiute, Ayda; Silvennoinen, Heidi; Li, Shiying; et al. (2023)
    Communications in Computer and Information Science ~ Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries
    Urban data analytics is helping to shape current and future cities, but the process of generating urban analytical indicators is often difficult to scale and automate. For instance, planners determine allowable Gross Floor Area (GFA) on a plot by manually cross-referencing multi-domain policies. As allowable GFA governs potential future developments, it is imperative to quantify and understand its values city-wide. This paper presents the first steps of a research effort to develop an automated semantic spatial policy model to estimate allowable GFA for plots in Singapore. We use ontologies and Knowledge Graph (KG) platforms to address regulatory data interoperability and automation challenges. We filtered regulation concepts that determine buildable area and volume at Level of Detail 1 (LoD1) and standardised these concepts across different regulatory sources. Then, we modelled concept-related policies and automated the generation of possible GFA values per plot. Finally, we developed an ontology to store these values in a dynamic geospatial KG. Our approach presents two key benefits: 1) a generated dataset of allowable GFA eliminates the need for manual calculation by field experts, and 2) a graph data structure is ideally suited for unstructured regulatory data, like planning regulations. We conclude that semantic spatial policy models improve the interoperability between multi-domain regulatory data and plan to generate a dataset for the entire Singapore as well as integrate regulatory data for mixed-use plots.
Publications 1 - 10 of 40