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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8830卷 96-117页

作者： Lupu, Mihai Salampasis, Michail Hanbury, Allan Institute for Software Technology and Interactive Systems Vienna University of Technology Karlsplatz 13 Wien1040 Austria

This chapter takes a look at the existing search landscape to observe that there are a myriad of search systems, covering all possible domains, which share a handful of theoretical retrieval models and are separated by a series of pre- and post-processing steps as well as a finite set of parameters. We also observe that given the infinite variety of real-world search tasks and domains, it is unlikely that any one combination of these steps and parameters would yield a renaissance-engine — a search engine that can answer any questions about art, sciences, law or entertainment. We therefore set forth to analyze the different components of a search system and propose a model for domain specific search, including a definition thereof, as well as a technical framework to build a domain specific search system. © Springer International Publishing Switzerland 2014.

关键词： Search engines

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Improving Patient Safety through Human-factor-based Risk Management

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Procedia Computer Science 2015年 64卷 79-86页

作者： Barbara Streimelweger Katarzyna Wac Wolfgang Seiringer Institute of Management Science Vienna University of Technology Vienna 1040 Austria University of Copenhagen Copenhagen 2300 Denmark and University of Geneva Geneva 1227 Switzerland Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna 1040 Austria

National and international efforts under the initiative ‘patient safety’ aim for more safety and transparency within healthcare systems for both patients and professionals. Within the healthcare sector, workflows become more and more complex, while time and money become scarce. As the consequence, the risk awareness, fault management and quality aspects in general become more important. One of the most established risk assessment methods is Failure Mode and Effect Analysis (FMEA) – a reliability analysis and risk assessment tool widely used in various industries. The traditional FMEA is using a Risk Priority Number (RPN) ranking system to evaluate and identify the risk level of failures, and to prioritize actions. However, there are shortcomings in obtaining a quality estimate of the failure ratings with FMEA, especially when human factors play a role, as it is in healthcare. Thus, a new risk assessment method named HFdFMEA (Human Factor dependent FMEA) based on dependency of used parameters and observation of human factors, is proposed to address these drawbacks. The results of this paper show that the HFdFMEA does not only increase risk level of failures based on the inclusion of human-factors but also gives the possibility to reduce the risk level of failures through means of addressing human-factors via trainings, motivation, etc. Finally, we discuss the opportunity to improve patient safety as result of the proposed HFdFMEA, used as technique for Human-Factor-based Risk Management (RiDeM).

关键词： Failure Modes and Effects Analysis FMEA in healthcare patient safety Risk Management human factor human error.

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De-identification of unstructured paper-based health records for privacy-preserving secondary use

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Journal of Medical Engineering and technology 2014年第5期38卷 260-268页

作者： Fenz, Stefan Heurix, Johannes Neubauer, Thomas Rella, Antonio Vienna University of Technology Institute of Software Technology and Interactive Systems Favoritenstrasse 9-11 1040 Vienna Austria

Whenever personal data is processed, privacy is a serious issue. Especially in the document-centric e-health area, the patients' privacy must be preserved in order to prevent any negative repercussions for the patient. Clinical research, for example, demands structured health records to carry out efficient clinical trials, whereas legislation (e.g. HIPAA) regulates that only de-identified health records may be used for research. However, unstructured and often paper-based data dominates information technology, especially in the healthcare sector. Existing approaches are geared towards data in English-language documents only and have not been designed to handle the recognition of erroneous personal data which is the result of the OCR-based digitization of paper-based health records. © 2014 Informa UK Ltd.

关键词： Data privacy

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Model-Based Risk Assessment in Multi-disciplinary systems Engineering

Model-Based Risk Assessment in Multi-disciplinary Systems En...

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Euromicro Conference on software Engineering and Advanced Applications (SEAA)

作者： Stefan Biffl Luca Berardinelli Emanuel Maetzler Manuel Wimmer Arndt Lueder Nicole Schmidt Institute of Software Technology & Interactive Systems CDL Flex Vienna University of Technology Austria Faculty of Mechanical Engineering Otto-v. -Guericke University Germany

In industrial production systems engineering projects, the work of software managers depends on engineering artifacts coming from multiple disciplines. In particular, it is important to software managers to assess the project risk from the status and evolution of various heterogenous distributed engineering artifacts. Thus, software risk management is most often an error prone and cumbersome task in such projects. To tackle this challenge, we introduce a model-based foundation for risk assessment in multi-disciplinary systems engineering projects. In particular, we build on the recent modeling support for the Automation ML (AML) standard which enables representing data coming from different engineering disciplines as models and employ a linking language to reason on a set of distributed engineering artifacts and their relationships. Based on this pillars, we propose in this paper a dedicated metric suite and measurement support for AML as an important ingredient for efficient risk assessment of heterogenous and distributed engineering data. We evaluate the feasibility of the proposed approach by providing tool support on top of the Eclipse Modeling Framework (EMF) and demonstrate its application with a showcase based on a real-world case study.

关键词： Measurement Risk management Biological system modeling software Data models

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Linking and versioning support for AutomationML: A model-driven engineering perspective

Linking and versioning support for AutomationML: A model-dri...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Stefan Biffl Emanuel Maetzler Manuel Wimmer Arndt Lueder Nicole Schmidt Institute of Software Technology & Interactive Systems CDL Flex Vienna University of Technology Austria Faculty of Mechanical Engineering Otto-v.-Guericke University Germany

In concurrent engineering process for industrial production plants, the domain experts need to keep an overview on the different engineering artifacts which are changed in parallel to coordinate their work. Unfortunately, current solutions often lack support for providing a versioned overview on data elements of local engineering results coming from different tools by linking them to the overall plant structure. Recently, the AutomationML (AML) standard for tool data exchange has provided a foundation for harmonizing engineering data exchange coming from a heterogeneous tool network by means of a unified format which may be also exploited in concurrent engineering processes. In this paper, we introduce a Model-Driven Engineering (MDE) approach for developing and providing versioning and linking support for AML. The MDE process builds on an AML metamodel to derive tool support (i) for representing sets of local engineering results as data elements in AML files, (ii) for extracting AML data elements for versioning the local engineering results, and (iii) for linking the versioned local engineering results to an AML tree representing the overall plant structure. We evaluate the feasibility of the approach with a showcase based on a real-world case study. The results show that the MDE approach worked efficiently to derive tool support for versioning and linking AML structures.

关键词： Joining processes Data models Object oriented modeling Standards software tools

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Capturing the temporal domain in echonest features for improved classification effectiveness

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8382卷 214-227页

作者： Schindler, Alexander Rauber, Andreas Department of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria Intelligent Vision Systems AIT Austrian Institute of Technology Vienna Austria

ISBN: (纸本)9783319120928

This paper proposes Temporal Echonest Features to harness the information available from the beat-aligned vector sequences of the features provided by The Echo Nest. Rather than aggregating them via simple averaging approaches, the statistics of temporal variations are analyzed and used to represent the audio content. We evaluate the performance on four traditional music genre classification test collections and compare them to state of the art audio descriptors. Experiments reveal, that the exploitation of temporal variability from beat-aligned vector sequences and combinations of different descriptors leads to an improvement of classification accuracy. Comparing the results of Temporal Echonest Features to those of approved conventional audio descriptors used as benchmarks, these approaches perform well, often significantly outperforming their predecessors, and can be effectively used for large scale music genre classification. © Springer International Publishing Switzerland 2014.

关键词： Audio acoustics

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Trifocal system for high-quality inter-camera mapping and virtual view synthesis

Trifocal system for high-quality inter-camera mapping and vi...

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International Conference on 3D Imaging (IC3D)

作者： Florian Seitner Matej Nezveda Margrit Gelautz Georg Braun Christian Kapeller Werner Zellinger Bernhard Moser Emotion3D GmbH Vienna Austria Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria Emotion GmbH Vienna Austria Knowledge-Based Vision Systems Software Competence Center Hagenberg Hagenberg Austria

We present an innovative L-shaped trifocal system involving a high-end main camera with a compact assistant stereo rig attached to it. The system can accurately reconstruct dense disparity information which enables the creation and processing of high-quality 3D film content based on virtual view synthesis. In particular, our system provides compactness and increased flexibility in the spatial camera arrangement, improving upon previous approaches which have focused on linear camera arrays. We provide technical details on our whole workflow, ranging from the hardware design to the key algorithms including rectification, disparity computation and virtual view synthesis based on inter-camera mapping. A subjective evaluation based on a user study demonstrates the effectiveness of our proposed approach in terms of quality of the 3D viewing experience.

关键词： Cameras Three-dimensional displays Lenses Color Image color analysis Hardware Production

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A combined approach of structured and non-structured IR in multimodal domain 14

A combined approach of structured and non-structured IR in m...

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2014 4th ACM International Conference on Multimedia Retrieval, ICMR 2014

作者： Sabetghadam, Serwah Lupu, Mihai Bierig, Ralf Rauber, Andreas Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

ISBN: (纸本)1595930361

We present a generic model for multimodal information retrieval, leveraging different information sources to improve the effectiveness of a retrieval system. The proposed method is able to take into account both explicit and latent semantics present in the data and can be used to answer complex queries, not currently answerable neither by document retrieval systems, nor by semantic web systems. By providing a hybrid approach combining IR and structured search techniques, we prepare a framework applicable to multimodal data collections. To test its effectiveness, we instantiate the model for an image retrieval task. Copyright 2014 ACM.

关键词： Query processing

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Towards a visualization of multi-faceted search results 1

Towards a visualization of multi-faceted search results

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KMIR 2014 - 1st Workshop on Knowledge Maps and Information Retrieval, co-located with International Conference on Digital Libraries, DL 2014 - ACM/IEEE Joint Conference on Digital Libraries, JCDL 2014 and International Conference on Theory and Practice of Digital Libraries, TPDL 2014

作者： Alsallakh, Bilal Miksch, Silvia Rauber, Andreas Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

A common way of formulating search queries over a set of items is to select facets these items should satisfy. For example, when searching for a specific person based on specific skills, the user wants to specify the skills she is searching for. Very often, few or no search results are returned that satisfy all search facets, which leads the user to iteratively refine her search. This process is not only tedious and time consuming, but it might cause the user to miss relevant results that partially satisfy the search constraints. We present a visualization of multi-faceted data which provides an overview of which data items satisfy each combination of search facets. By means of interaction and visual guidance, the user can interactively refine her search queries and retrieve the items that satisfy as much of the desired search facets as possible.

关键词： Visualization

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A hybrid approach for multi-faceted IR in multimodal domain

A hybrid approach for multi-faceted IR in multimodal domain

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5th International Conference of the CLEF Initiative, CLEF 2014

作者： Sabetghadam, Serwah Bierig, Ralf Rauber, Andreas Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

ISBN: (纸本)9783319113814

We present a model for multimodal information retrieval, leveraging different information sources to improve the effectiveness of a retrieval system. This method takes into account multifaceted IR in addition to the semantic relations present in data objects, which can be used to answer complex queries, combining similarity and semantic search. By providing a graph data structure and utilizing hybrid search in addition to structured search techniques, we take advantage of relations in data to improve retrieval. We tested the model with ImageCLEF 2011 Wikipedia collection, as a multimodal benchmark data collection, for an image retrieval task. © 2014 Springer International Publishing.

关键词： Query processing

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