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  • 51.
    Mathiason, Gunnar
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Andler, Sten F
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Son, Sang H
    University of Virginia.
    Virtual Full Replication for Scalable and Adaptive Real-Time Communication in Wireless Sensor Networks2008In: Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008), IEEE Computer Society , 2008, p. 55-64Conference paper (Refereed)
    Abstract [en]

     

    Sensor networks have limited resources and often support large-scale applications that need scalable propagation of sensor data to users. We propose a white-board style of communication in sensor networks using a distributed real-time database supporting Virtual Full Replication with Adaptive Segmentation. This allows mobile client nodes to access, transparently and efficiently, any sensor data at any node in the network. We present a two-tiered wireless architecture, and an adaptation protocol, for scalable and adaptive white-board communication in large-scale sensor networks. Sensor value readings at nodes of the sensor tier are published at nodes of the database tier as database updates to objects in a distributed real-time database. The search space of client nodes for sensor data is thus limited to the number of database nodes. With this scheme, we can show scalable resource usage and short adaptation times for several hundreds of database nodes and up to 50 moving clients.

     

  • 52.
    Mathiason, Gunnar
    et al.
    University of Skövde, School of Humanities and Informatics.
    Andler, Sten F
    University of Skövde, School of Humanities and Informatics.
    Son, Sang H.
    University of Virginia.
    Selavo, Leo
    University of Virginia.
    Virtual Full Replication for Wireless Sensor Networks2007In: Proceedings work-in-progress session of the 19th Euromicro conference on Real-Time Systems (ECRTS 2007), 4-6 July, 2007, Pisa, Italy, Skövde: Högskolan i Skövde , 2007, p. 4-Chapter in book (Other academic)
    Abstract [en]

    We propose to use a distributed real-time database with Virtual Full Replication by Adaptive Segmentation, for whiteboard communication in a sensor network with mobile sink nodes. Sensor networks are large scale applications with limited resources, so they need scalable propagation of sensor data, both to the users inside the network and to the network edges. Virtual full replication enables scalable and adaptive propagation of sensor data, by bounding resource usage to the current data needs. We use a two-tiered wireless sensor network, where each sensor value is published in the distributed database at gateways of the upper tier. Mobile users search for sensor data only at the gateways, which limits the search space.

  • 53.
    Mellin, Jonas
    University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics.
    The effect of optimizing engine control on fuel consumption and roll amplitude in ocean-going vessels: An experimental study2015Report (Other academic)
    Abstract [en]

    We use data-generated models based on data from experiments of an ocean-going vessel to study the effect of optimizing fuel consumption. The optimization is an add-on module to the existing diesel-engine fuel-injection control built by Q-TAGG R&D AB. The work is mainly a validation of knowledge-based models based on a priori knowledge from physics. The results from a simulation-based analysis of the predictive models built on data agree with the results based on knowledge-based models in a companion study. This indicates that the optimization algorithm saves fuel. We also address specific problems of adapting data to existing machine learning methods. It turns out that we can simplify the problem by ignoring the auto-correlative effects in the time series by employing low-pass filters and resampling techniques. Thereby we can use mature and robust classification techniques with less requirements on the data to demonstrate that fuel is saved compared to the full-fledged time series analysis techniques which are harder to use. The trade-off is the accuracy of the result, that is, it is hard to tell exactly how much fuel is saved. In essence, however, this process can be automated due to its simplicity. 

  • 54.
    Mellin, Jonas
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Andler, Sten F.
    University of Skövde, Department of Computer Science.
    Refining Design Constraints using a System Services Model of a Real-Time DBMS1995Report (Other academic)
    Abstract [en]

    In the DeeDS prototype, active database functionality and critical timing constraints are combined with integrated monitoring techniques. In the scope of DeeDS, this paper presents a mathematical model which is used to derive two important design constraints; worst-case minimum delay and maximum frequency of events. This model is based on a dual-processor hybrid-monitoring solution. Furthermore, different interaction styles between the scheduler and the event monitor are evaluated.

  • 55. Nilsson, Robert
    et al.
    Offutt, Jeff
    Department of Information and Software Engineering, George Mason University, Fairfax, United States.
    Andler, Sten F.
    University of Skövde, School of Humanities and Informatics.
    Mutation-Based Testing Criteria for Timeliness2004In: Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004, IEEE conference proceedings, 2004, p. 306-311Conference paper (Other academic)
  • 56.
    Olsson, Björn
    et al.
    University of Skövde, School of Humanities and Informatics.
    Nilsson, Patric
    University of Skövde, School of Humanities and Informatics.
    Gawronska, Barbara
    University of Skövde, School of Humanities and Informatics.
    Persson, Anne
    University of Skövde, School of Humanities and Informatics.
    Ziemke, Tom
    University of Skövde, School of Humanities and Informatics.
    Andler, Sten F.
    University of Skövde, School of Humanities and Informatics.
    An Information Fusion Approach to Controlling Complexity in Bioinformatics Research2005In: 2005 IEEE Computational Systems Bioinformatics Conference: Workshops & Poster Abstracts: CSB 2005, IEEE Computer Society, 2005, p. 299-304Conference paper (Refereed)
    Abstract [en]

    Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of the individual data sources in isolation. We argue in this paper that there is a need for applying an IF approach in bioinformatics research, since the aim of bioinformatics is to understand complex biological systems using many different data sources providing complementary views of the system. We illustrate this argument with two application examples, where IF-based bioinformatics is applied to the study of stem cell differentiation and lipid digestion, respectively. We also discuss the use of automated information extraction from text sources, which is an essential component of a bioinformatics IF approach, given the abundant literature.

  • 57.
    Rego, Izabel de Moraes Sarmento
    et al.
    Universidade Estadual de Campinas (UNICAMP), Brazil .
    Amorim, Joni de Almeida
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Saab Group, Sweden .
    Gustavsson, Per M.
    Centre of Excellence in C4I, George Mason University (GMU), USA.
    Andler, Sten F.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Multimedia production projects: Relevant issues and possible models for mobile learning2015In: International Handbook of E-Learning Volume 2: Implementation and Case Studies / [ed] Mohamed Ally and Badrul H. Khan, New York: Routledge, 2015, p. 69-76Chapter in book (Refereed)
  • 58.
    Shah, Syed Muhammad Ali
    et al.
    Swedish Institute of Computer Science.
    Sundmark, Daniel
    Swedish Institute of Computer Science / Mälardalen University, Sw eden.
    Lindström, Birgitta
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Andler, Sten F.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Robustness Testing of Embedded Software Systems: An Industrial Interview Study2016In: IEEE Access, E-ISSN 2169-3536, Vol. 4, p. 1859-1871, article id 7438745Article in journal (Refereed)
    Abstract [en]

    Embedded software is at the core of current and future telecommunication, automotive, multimedia, and industrial automation systems. The success of practically any industrial application depends on the embedded software system’s dependability, and one method to verify the dependability of a system is testing its robustness. The motivation behind this study is to provide a knowledge base of the state of the practice in robustness testing of embedded software systems and to compare this to the state of the art. We have gathered information on the state of the practice in robustness testing from seven different industrial domains (telecommunication, automotive, multimedia, critical infrastructure, aerospace, consumer products, and banking) by conducting thirteen semi-structured interviews. We investigate different aspects of robustness testing, such as the general view of robustness, relation to requirements engineering and design, test execution, failures, and tools. We highlight knowledge from the state of the practice of robustness testing of embedded software systems. We found different robustness testing practices that have not been previously described. Our study shows that the state of the practice, when it comes to robustness testing, differs between organizations and is quite different from the state of the art described in the scientific literature. For example, methods commonly described in the literature (e.g., the fuzzy approach) are not used in the organizations we studied. Instead, the interviewees described several ad-hoc approaches that take specific scenarios into account (e.g., power failure or overload). Other differences we found concern classification of robustness failures, the hypothesized root causes of robustness failures, and the types of tools used for robustness testing. The study is a first step in capturing the state of the practice of robustness testing of embedded software systems. The results can be used by both researchers and- practitioners. Researchers can use our findings to understand the gap between the state of the art and the state of the practice and develop their studies to fill this gap. Practitioners can also learn from this knowledge base regarding how they can improve their practice and acquire other practices.

  • 59.
    Steinhauer, H. Joe
    et al.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Karlsson, Alexander
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Andler, Sten F.
    University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
    Traceable Uncertainty2013In: Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, 2013, p. 1582-1589Conference paper (Refereed)
12 51 - 59 of 59
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