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2014 12th International Conference on Applied and Theoretical Electricity, ICATE 2014

作者： Spunei, Elisabeta Piroi, Ion Muscai, Cristian Piroi, Florina Department of Electrical Engineering and Informatics Eftimie Murgu University of Resita UEMR Resita Romania Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

ISBN: (纸本)9781479941612

We present in this paper a software module for the diagnosis of Automatic Bloc Signaling installation failures in situations where the train open line figures as blocked, although it is, in reality, free. The software module created by us, LCOBla, is designed for the use of maintenance staff specialized in Signals, Centralizations, Blocking (SCB) at the Romanian Railroad Company (CFR). LCOBla allows a quick and correct design of the failure causes associated with these kinds of signaling and contributes to the maintenance staff performance. Fast failure remedy improves train traffic flow and reduces train delay times. The LCOBla software module uses the diagnosis chart created for these kinds of failures, which, in turn, is based on the actual block schemes and on technical recommendations for these types of installations. The module is one of a series of modules designed to diagnose each failure type, for the various railway traffic safety installation types. © 2014 IEEE.

关键词： Railroads

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Message from the Technical Program Chairs

Proceedings - 2014 International Conference on Virtual Reali...

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Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014 2015年 xi-xii页

作者： Shen, Xukun Wu, Enhua Shi, Xiangbin Wu, Wei Zhang, Xiaopeng Pan, Zhigeng Nakatsu, Ryohei State Key Lab of VR Technology and Systems Beihang University China University of Macau and Inst. of Software CAS China Shenyang Aerospace University China National Laboratory of Pattern Recognition Institute of Automation CAS China Hangzhou Normal University China Interactive and Digital Media Institute National University of Singapore Singapore Singapore

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EVALUATION OF LDR, TONE MAPPED AND HDR STEREO MATCHING USING COST-VOLUME FILTERING APPROACH

EVALUATION OF LDR, TONE MAPPED AND HDR STEREO MATCHING USING...

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European Signal Processing Conference

作者： Tara Akhavan Hyunjin Yoo Margrit Gelautz Institute of Software Technology and Interactive Systems Vienna University of Technology

ISBN: (纸本)9781479946037

We present stereo matching solutions based on a fast cost-volume filtering approach for High Dynamic Range (HDR) scenes. Multi-exposed stereo images are captured and used to generate HDR and Tone Mapped (TM) images of the left and right views. We perform stereo matching on conventional, Low Dynamic Range (LDR) images, original HDR, as well as TM images by customizing the matching algorithm for each of them. An evaluation on the disparity maps computed from the different approaches demonstrates that stereo matching on HDR images outperforms conventional LDR stereo matching and TM stereo matching, with the most discriminative disparity maps achieved by using HDR color information and log-luminance gradient values for matching cost calculation.

关键词： Stereo Matching Low Dynamic Range (LDR) High Dynamic Range (HDR) Tone Mapping (TM)

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Analysing supplier locations using social and semantic data: A case study based on Indonesian factories 14

Analysing supplier locations using social and semantic data:...

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14th International Conference on Knowledge Technologies and Data-Driven Business, i-KNOW 2014

作者： Madlberger, Lisa Hobel, Heidelinde Thöni, Andreas Tjoa, A Min Austria Vienna Phd School of Informatics Vienna University of Technology Austria Austria College Environmental Informatics Vienna University of Technology Austria Austria Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

ISBN: (纸本)9781450327695

Many international corporations have globally distributed supply chains exposing their operations to various local risks, e.g., natural disasters. To facilitate assessment of these risks, corporations have to identify geographic locations of their suppliers. However, automated identification of supplier locations is problematic for areas where geocoding of addresses is not effective. In this paper, we present a method to infer location information from user-generated geographic information retrieved from Wikimapia and Foursquare. Using a sample of 139 Indonesian factories supplying large international corporations, we compared results from our approach with locations retrieved from four widely-used geocoding services. We found that best results could be achieved using data from Foursquare, where we retrieved a location within 1km for 73% of the factories. Given that coordinates are only an input for decision making, we linked retrieved locations exemplary to semantic data to determine the risk exposure due to volcanic eruptions for each factory. Both steps combined present an approach for automated supplier risk assessment based on social and semantic data. © Copyright 2014 ACM.

关键词： Risk analysis

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Efficient depth propagation in videos with GPU-acceleration

Efficient depth propagation in videos with GPU-acceleration

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IEEE Visual Communications and Image Processing (VCIP)

作者： Manuel Ivancsics Nicole Brosch Margrit Gelautz Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

In this paper we propose an optimized semiautomatic approach for efficient 2D-to-3D video conversion. It is based on a conversion algorithm that leverages segmentation and filtering techniques to propagate sparse depth information that was provided by a user. Our GPU acceleration of in the work of Brosch et al. (2011) significantly reduces the computation time of the original algorithm. Since the limited capacity of the CPU's onboard memory hinders the parallel execution of large data such as videos, we additionally propose a temporally coherent clip-based 2D-to-3D conversion approach for long videos. Evaluations show that the proposed, optimized conversion approach is capable of generating high-quality results, while significantly reducing the execution time compared to the original, un-optimized approach.

关键词： Videos Runtime Graphics processing units Three-dimensional displays Cities and towns Histograms Joints

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The Weighted Decision Matrix: Tracking Design Decisions in Service Compositions

The Weighted Decision Matrix: Tracking Design Decisions in S...

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IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

作者： Alexandra Mazak Bernhard Kratzwald Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

Often, there is a lack of efficient procedures in order to identify design errors when transforming customer requirements into servic-oriented solution. A well-established approach supporting this kind of transformation in classical requirements engineering is the traceability matrix which allows tracing the coverage of customer requirements by system components in general, or services in particular. The matrix shows which services realize which customer requirements. However, the matrix does not show the relevance of a service in order to meet a certain quality aspect (e.g. Security, usability, maintainability, etc.). Since this information is not explicitly covered, it is the system designer who has to keep this knowledge in mind when designing an appropriate set of services that build the overall system. Unfortunately, stakeholders not involved in the design decisions, e.g. Customers, Project managers and developers, have a hard time to understand the significance of the coverage of customer requirements by services in order to meet desired quality aspects. This may cause misinterpretations especially in the early stages of the service system development life-cycle. In this paper, we present a heuristic-based approach to continually monitor and control design decisions and their effects on certain quality aspects. This approach extends the traceability matrix by a weighted decision-matrix.

关键词： Context Security Usability Inspection Monitoring ISO standards

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A glimpse into the state and future of (Big) data analytics in austria: Results from an online survey 3

A glimpse into the state and future of (Big) data analytics ...

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3rd International Conference on Data Management Technologies and Applications, DATA 2014

作者： Bierig, Ralf Hanbury, Allan Haas, Martina Piroi, Florina Berger, Helmut Lupu, Mihai Dittenbach, Michael Institute of Software Technology and Interactive Systems Vienna University of Technology Favoritenstr. 9-11/188-1 ViennaA-1040 Austria Max.recall Information Systems GmbH Künstlergasse 11/1 ViennaA-1150 Austria

ISBN: (纸本)9789897580352

We present results from questionnaire data that were collected from leading data analytics experts in Austria. The online survey addresses very current and pressing questions in the area of (big) data analysis. Our findings provide valuable insights about what top Austrian data scientists think about data analytics, what they consider as important application areas that can benefit from big data and data processing, the challenges of the future and how soon these challenges will become important, and the potential research topics of tomorrow. We visualize results, summarize our findings and suggest a possible roadmap for future decision making.

关键词： Surveys

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Visualisation of user-generated event information: Towards geospatial situation awareness using hierarchical granularity levels 1

Visualisation of user-generated event information: Towards g...

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Joint 1st Workshop on Semantic Sentiment Analysis, SSA 2014 and the Workshop on Social Media and Linked Data for Emergency Response, SMILE 2014 - Co-located with 11th European Semantic Web Conference, ESWC 2014

作者： Hobel, Heidelinde Madlberger, Lisa Thön, Andreas Fenz, Stefan Vienna University of Technology Doctoral College Environmental Informatics Austria Vienna University of Technology Vienna Phd School of Informatics Austria Vienna University of Technology Institute of Software Technology and Interactive Systems Austria SBA Research Vienna Austria

In recent years, enterprises and emergency response teams have started to use user-generated content to monitor crises, events and trends. Especially in critical situations, decision makers must, above all, quickly assess huge amounts of data. E?ective geographical visualization and aggregation of collected data is an important prerequisite to enable decision makers to infer the impact of a detected event on, for example, their supply chains and other physical establishments. However, in existing literature the aspect of geographical visualization of automatically analysed events is hardly addressed. In this paper, we propose to introduce hierarchical levels of detail, a concept from Geographic Information systems, for the visualization of user-generated data describing a local event. We developed a tool which can improve the assessment of regional impacts by o?ering the possibility to browse and visualize results on layers aggregating data along individually defined hierarchical dimensions, e.g. geographical or political districts.

关键词： Visualization

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A Framework for Inter-Organizational Performance Analysis from EDI Messages

A Framework for Inter-Organizational Performance Analysis fr...

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IEEE Conference on Commerce and Enterprise Computing, CEC

作者： Worarat Krathu Christian Pichler Robert Engel Marco Zapletal Hannes Werthner Christian Huemer Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

The evaluation of an organization's performance may also consider the assessment of inter-organizational relationships (IORs). However, the evaluation of IORs is typically based on success factors, such as trust, which are difficult to be measured quantitatively. In this paper, we present a framework supporting inter-organizational performance evaluation which integrates (i) a bottom-up approach supporting the identification of Key Performance Indicators (KPIs) from business information, event logs, as well as process models, and (ii) a top-down approach for measuring business performance on the strategic level based on the Balanced Scorecard (BSC) method. In order to prove the feasibility of the framework, we present an inter-organizational performance analysis case study of a beverage manufacturing company. The case study shows that the framework enables (i) the derivation of quantifiable KPIs from operational data and (ii) the alignment of KPIs with business objectives allowing an evaluation of IORs on the strategic level.

关键词： Business Measurement Ontologies Bismuth Performance analysis Data mining Aggregates

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Evaluating software architectures using ontologies for storing and versioning of engineering data in heterogeneous systems engineering environments

Evaluating software architectures using ontologies for stori...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Richard Mordinyi Estefania Serral Dietmar Winkler Stefan Biffl CDL-Flex Institute of Software Technology and Interactive Systems Vienna Austria

Large systems engineering projects involve the cooperation of various stakeholders from different engineering disciplines. Individual stakeholders apply various tools and related data storage approaches that (a) might hinder seamless interoperability and (b) include limited capability to support data versioning. Project-level concepts enable the mapping of engineering data coming from different disciplines. However, it remains open how to store data on project level that enable flexible and efficient data access from different disciplines in different environments and enable backtracking to previous versions in case of defects and/or human errors. While semantic data integration provides fundamental solutions for bridging semantic gaps between common project-level concepts and the local tool concepts used by each discipline, semantic storages have been developed to query and reason over gathered data rather than versioning frequent instance changes inherent to such engineering projects in distributed and heterogeneous environments. In this paper we evaluate three software architectures using ontologies in different ways and compare selected quality attributes, i.e., performance and scalability, in the context of an industrial scenarios. Main results suggest that architectures relying on a relational database for versioning individuals still outperforms traditional ontology storages.

关键词： Ontologies Semantics Data models Computer architecture Databases Resource description framework

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