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  • 201.
    Cajander, Åsa
    et al.
    Uppsala University, Uppsala, Sweden.
    Grünloh, Christiane
    KTH Royal Institute of Technology, Sweden / CUAS Cologne University of Applied Sciences, Gummersbach, Germany.
    Rexhepi, Hanife
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Worlds Apart - Doctors’ Technological Frames and Online Medical Records2015Inngår i: INTERACT 2015 adjunct proceedings: 15th IFIP TC.13 International Conference on Human-Computer Interaction 14 to 18 September 2015, Bamberg, Germany / [ed] Christoph Beckmann & Tom Gross, Bamberg: University of Bamberg Press , 2015, s. 357-367Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The ability of individuals to access and use their online medical records serves as one of the cornerstones of national efforts to increase patient empowerment and improve health outcomes. However, the launch of online medical records in Uppsala County, Sweden, has been criticized by the medical profession and the local doctors’ union. The aim of this paper is therefore to present the results from an exploratory study where interviews with two oncologists are analysed and discussed based on the theory of Technological Frames and Patient Empowerment. The results indicate that medical doctors have different assumptions and perspectives that affect their use of technology and how they view patient empowerment in everyday clinical work.

  • 202.
    Cao, Hoang-Long
    et al.
    Vrije Universiteit Brussel, Belgium.
    Esteban, Pablo G.
    Mechanical Engineering, Vrije Universiteit Brusel, Brussels, Belgium.
    Bartlett, Madeleine
    Plymouth University, United Kingdom.
    Baxter, Paul Edward
    School of Computer Science, University of Lincoln, United Kingdom.
    Belpaeme, Tony
    Faculty of Science and Environment, Plymouth University, United Kingdom.
    Billing, Erik
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Cai, Haibin
    School of computing, University of Portsmouth, Southampton, United Kingdom.
    Coeckelbergh, Mark
    University of Twente, The Netherlands.
    Costescu, Cristina
    Department of Clinical Psychology and Psychotherapy, Universitatea Babes-Bolyai, Cluj Napoca, Romania.
    David, Daniel
    Babes-Bolyai University, Romania.
    De Beir, Albert
    Robotics & Multibody Mechanics Research Group, Vrije Universiteit Brussel (VUB), Bruxelles, Belgium.
    Hernandez Garcia, Daniel
    School of Computing, Electronics and Mathematics, University of Plymouth, United Kingdom.
    Kennedy, James
    Disney Research Los Angeles, Disney Research, Glendale, California United States of America.
    Liu, Honghai
    Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom.
    Matu, Silviu
    Babes-Bolyai University, Romania.
    Mazel, Alexandre
    Research, Aldebaran-Robotics, Le Kremlin Bicetre, France.
    Pandey, Amit Kumar
    Innovation Department, SoftBank Robotics, Paris, France.
    Richardson, Kathleen
    Faculty of Technology, De Montfort University, Leicester, United Kingdom.
    Senft, Emmanuel
    Centre for Robotics and Neural System, Plymouth University, United Kingdom.
    Thill, Serge
    Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.
    Van de Perre, Greet
    Applied Mechanics, Vrije Universiteit Brussel, Elsene, Belgium.
    Vanderborght, Bram
    Department of Mechanical Engineering, Vrije Universiteit Brussel, Brussels, Belgium.
    Vernon, David
    Electrical and Computer Engineering, Carnegie Mellon University Africa, Kigali, Rwanda.
    Wakanuma, Kutoma
    De Montfort University, United Kingdom.
    Yu, Hui
    Creative Technologies, University of Portsmouth, Portsmouth, United Kingdom.
    Zhou, Xiaolong
    Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy2019Inngår i: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223X, Vol. 26, nr 2, s. 49-58Artikkel i tidsskrift (Fagfellevurdert)
  • 203.
    Carlén, Urban
    et al.
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för teknik och samhälle.
    Lindström, Berner
    University of Gothenburg, Sweden.
    Informed Design of Educational Activities in Online Learning Communities2012Inngår i: Informed Design of Educational Technologies in Higher Education: Enhanced Learning and Teaching / [ed] Anders D. Olofsson & J. Ola Lindberg, IGI Global, 2012, s. 118-134Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    The aim of this chapter is to sketch design implications for organizing online educational activities in higher education that will intentionally engage medical students and professionals in the field together. When using an online forum, which is already embedded in the work practice, participants can build an online learning community (OLC) to discuss specialist subjects. This chapter is based on findings derived from a larger case study about participation in a professional OLC in general medicine. The proposal of an educational activity will complement numerous online activities with a more structured form of learning. As long as participants are challenged in learning about the specialist subject, they will contribute to the collective account. Online participation can be one way to foster students in becoming doctors. Together with qualified professionals, medicine students can create and sustain relationships over their professional careers.

  • 204.
    Casas-Roma, Jordi
    et al.
    Faculty of Computer Science, Multimedia and Telecommunications, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Barcelona, Spain.
    Herrera-Joancomarti, Jordi
    Department of Information and Communications Engineering, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain.
    Torra, Vicenç
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    k-Degree Anonymity And Edge Selection: Improving Data Utility In Large Networks2017Inngår i: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 50, nr 2, s. 447-474Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The problem of anonymization in large networks and the utility of released data are considered in this paper. Although there are some anonymization methods for networks, most of them cannot be applied in large networks because of their complexity. In this paper, we devise a simple and efficient algorithm for k-degree anonymity in large networks. Our algorithm constructs a k-degree anonymous network by the minimum number of edge modifications. We compare our algorithm with other well-known k-degree anonymous algorithms and demonstrate that information loss in real networks is lowered. Moreover, we consider the edge relevance in order to improve the data utility on anonymized networks. By considering the neighbourhood centrality score of each edge, we preserve the most important edges of the network, reducing the information loss and increasing the data utility. An evaluation of clustering processes is performed on our algorithm, proving that edge neighbourhood centrality increases data utility. Lastly, we apply our algorithm to different large real datasets and demonstrate their efficiency and practical utility.

  • 205.
    Casas-Roma, Jordi
    et al.
    Faculty of Computer Science, Multimedia and Telecommunications, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Spain.
    Herrera-Joancomartí, Jordi
    Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Bellaterra, Spain.
    Torra, Vicenç
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    A survey of graph-modification techniques for privacy-preserving on networks2017Inngår i: Artificial Intelligence Review, ISSN 0269-2821, E-ISSN 1573-7462, Vol. 47, nr 3, s. 341-366Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Recently, a huge amount of social networks have been made publicly available. In parallel, several definitions and methods have been proposed to protect users’ privacy when publicly releasing these data. Some of them were picked out from relational dataset anonymization techniques, which are riper than network anonymization techniques. In this paper we summarize privacy-preserving techniques, focusing on graph-modification methods which alter graph’s structure and release the entire anonymous network. These methods allow researchers and third-parties to apply all graph-mining processes on anonymous data, from local to global knowledge extraction.

  • 206.
    Chaparadza, Ranganai
    et al.
    ETSI AFI & IPv6Forum.
    Ben Meriem, Tayeb
    Orange, AFI.
    Radier, Benoit
    Orange, AFI.
    Szott, Szymon
    AGH University , AFI.
    Wodczak, Michal
    IT Department of Poznan University of Economics, AFI.
    Prakash, Arun
    FOKUS, AFI.
    Ding, Jianguo
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Soulhi, Said
    Ericsson, AFI.
    Mihailovic, Andrej
    KCL, AFI.
    Implementation Guide for the ETSI AFI GANA Model: a Standardized Reference Model for Autonomic Networking, Cognitive Networking and Self-Management2013Inngår i: Proceedings of 2013 IEEE Globecom Workshops, IEEE Computer Society, 2013, s. 935-940Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper describes an Implementation Guide for an emerging standard for autonomic management &control of networks and services, namely the ETSI AFI GANA Reference Model for Autonomic Networking, Cognitive Networking and Self-Management (an emerging standard from ETSI). The implementation guide also takes into consideration the impact of emerging paradigms such as SDN and Virtualization. This is because as the standardized Reference Model has been published, it becomes important to provide an associated Implementation Guide that can be followed in implementing autonomic management & control in network architectures.

  • 207.
    Chaparadza, Ranganai
    et al.
    ETSI AFI & IPv6Forum.
    Ben Meriem, Tayeb
    Orange, AFI.
    Radier, Benoit
    Orange, AFI.
    Szott, Szymon
    AGH University, AFI.
    Wodczak, Michal
    IT Department of Poznan University of Economics, AFI.
    Prakash, Arun
    FOKUS, AFI.
    Ding, Jianguo
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Soulhi, Said
    Ericsson, AFI.
    Mihailovic, Andrej
    KCL, AFI.
    SDN Enablers in the ETSI AFI GANA Reference Model for Autonomic Management & Control (emerging standard), and Virtualization Impact2013Inngår i: Proceedings of 2013 IEEE Globecom Workshops, IEEE Computer Society, 2013, s. 818-823Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This standardization oriented paper describes the SDN (Software-Driven Networking) Enablers in the ETSI AFI GANA Reference Model for Autonomic Management & Control (an emerging standard from ETSI), and impact of Virtualization. This is because in this study we see that Autonomic Management & Control and SDN (Software-Driven Networking) share the same objective of enabling programmable, manageable, dynamically self-adaptable and cost-effective networks and services. SDN enablers in the AFI GANA Model are: (1) Modularization of Logically centralized Control Software (the GANA Network Level DEs in the GANA Knowledge Plane) and Reference Points Definitions; (2) Primitives for Programmability at various layers; (3) Use of Runtime Executable Behavioral Models to complement the use of Policy-Control and dynamic policies; (4) The role and value the GANA MBTS (Model Based Translation Service) brings in SDN; (5) The role and value the GANA ONIX (Overlay Network for Information eXchange) brings in SDN; (6) Interworking GANA Knowledge Plane Decision Elements and SDN Controllers; (7) GANA “Decision-Making-Elements” logics as “software” that can be loaded into nodes and network (enabling “software-empowered networks”). The study is important because it is now becoming critical to study and explore the relationships between Autonomic Management & Control and SDN paradigms, as well as Virtualization, identify complementarities between the paradigms and close the gaps by unifying SDN concepts and associated frameworks with the emerging ETSI AFI GANA Reference Model standard for Autonomic Networking, Cognitive Networking and Self-Management, a hybrid model enabling to combine both centralized and distributed control.

  • 208.
    Chaparadza, Ranganai
    et al.
    IPv6Forum / ETSI AFI.
    Ben Meriem, Tayeb
    Orange / ETSI AFI.
    Strassner, John
    Huawei / TMF ZOOM.
    Radier, Benoit
    Orange / ETSI NTECH/AFI.
    Soulhi, Said
    Ericsson / ETSI/NTECH AFI.
    Ding, Jianguo
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Yan, Zhiwei
    CNNIC / Chinese Academy of Sciences.
    Industry Harmonization for Unified Standards on Autonomic Management & Control (AMC) of Networks and Services, SDN and NFV2014Inngår i: Globecom Workshops (GC Wkshps), 2014, IEEE conference proceedings, 2014, s. 155-160Konferansepaper (Fagfellevurdert)
  • 209.
    Chaparadza, Ranganai
    et al.
    IPv6Forum & ETSI AFI, Berlin, Germany.
    Ding, Jianguo
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Djenouri, Djamel
    CERIST Research Center, Algiers, Algeria.
    Preface of the 6th IEEE International Workshop on Management of Emerging Networks and Services (IEEE Globecom MENS 2014)2014Inngår i: 2014 IEEE Globecom Workshops (GC Wkshps), IEEE conference proceedings, 2014, s. 150-154Konferansepaper (Fagfellevurdert)
  • 210.
    Cheniki, Nasredine
    et al.
    University of Sciences and Technology Houari Boumedine, USTHB, Algeria.
    Belkhir, Abdelkader
    University of Sciences and Technology Houari Boumedine, USTHB, Algeria.
    Atif, Yacine
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Mobile services discovery framework using DBpedia and non-monotonic rules2016Inngår i: Computers & electrical engineering, ISSN 0045-7906, E-ISSN 1879-0755, Vol. 52, s. 49-64Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Mobile services are constantly evolving, thanks to improvements in performance of mobile devices and wireless networks. As a result, there is a need for and efficient supply of discovery processes that will even allow non-technical users and developers to publish, discover and access services in a mobile environment where non-functional properties (context and quality of service information) play an important role in the discovery process in conjunction to functional properties. In this paper, we propose a user-centric mobile services discovery framework that enriches functional descriptions of mobile services with semantic annotations from DBpedia knowledge (the semantically-structured version of Wikipedia) which covers multiple domains and provides lightweight ontologies. In addition, it offers open tools that can be used to simplify the provisioning and discovery of mobile services. The framework allows users to rank services using non-monotonic rules, which define their desired choices based on the context and quality of service information. Experimental results show that our framework provides efficient discovery results of efficient mobile services.

  • 211.
    Chersi, Fabian
    et al.
    Institute of Sciences and Technologies of Cognition, National Research Council, Rome, Italy.
    Thill, Serge
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Borghi, Anna M.
    Institute of Sciences and Technologies of Cognition, National Research Council, Rome, Italy / Department of Psychology, University of Bologna, Bologna, Italy.
    Sentence processing: linking language to motor chains2010Inngår i: Frontiers in Neurorobotics, ISSN 1662-5218, Vol. 4, artikkel-id Article 4Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    A growing body of evidence in cognitive science and neuroscience points towards the existence of a deep interconnection between cognition, perception and action. According to this embodied perspective language is grounded in the sensorimotor system and language understanding is based on a mental simulation process (Jeannerod, 2007; Gallese, 2008; Barsalou, 2009). This means that during action words and sentence comprehension the same perception, action, and emotion mechanisms implied during interaction with objects are recruited. Among the neural underpinnings of this simulation process an important role is played by a sensorimotor matching system known as the mirror neuron system (Rizzolatti and Craighero, 2004). Despite a growing number of studies, the precise dynamics underlying the relation between language and action are not yet well understood. In fact, experimental studies are not always coherent as some report that language processing interferes with action execution while others find facilitation. In this work we present a detailed neural network model capable of reproducing experimentally observed influences of the processing of action-related sentences on the execution of motor sequences. The proposed model is based on three main points. The first is that the processing of action-related sentences causes the resonance of motor and mirror neurons encoding the corresponding actions. The second is that there exists a varying degree of crosstalk between neuronal populations depending on whether they encode the same motor act, the same effector or the same action-goal. The third is the fact that neuronal populations’ internal dynamics, which results from the combination of multiple processes taking place at different time scales, can facilitate or interfere with successive activations of the same or of partially overlapping pools.

  • 212.
    Christensen, Johanne
    et al.
    North Carolina State University, United States.
    Bae, Juhee
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Watson, Benjamin
    North Carolina State University, United States.
    Talamadupula, Kartik
    IBM Research, United States.
    Spjut, Josef
    NVIDIA, United States.
    Joines, Stacy
    IBM Watson, United States.
    UIBK: User interactions for building knowledge2019Inngår i: International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery (ACM), 2019, s. 131-132Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This half-day workshop seeks to bring together practitioners and academics interested in the challenges of structuring interactions for subject matter experts (SMEs) who are providing knowledge and/or feedback to an AI system, but are not well-versed in the underlying algorithms. Since the information provided by SMEs directly effects the efficacy of the final system, collecting the correct data is a problem that navigates issues ranging from curating data that may be tainted to structuring data collection tasks in such a way as to mitigate user boredom. The goal of this workshop is to discuss methods and new paradigms for productively interacting with users while collecting knowledge. 

  • 213.
    Crowston, Kevin
    et al.
    Syracuse University.
    Hammouda, ImedChalmers and University of Gothenburg.Lindman, JuhoChalmers and University of Gothenburg.Lundell, BjörnHögskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.Robles, GregorioUniversidad Rey Juan Carlos.
    Proceedings of the Doctoral Consortium at the 12th International Conference on Open Source Systems2016Konferanseproceedings (Fagfellevurdert)
  • 214.
    Crowston, Kevin
    et al.
    Syracuse University, Syracuse, NY, USA.
    Hammouda, ImedUniversity of Gothenburg, Sweden.Lundell, BjörnHögskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.Robles, GregorioGSyC, Universidad Rey Juan Carlos, Madrid, Spain.Gamalielsson, JonasHögskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.Lindman, JuhoChalmers, Gothenburg, Sweden / University of Gothenburg, Gothenburg, Sweden.
    Open Source Systems: Integrating Communities: 12th IFIP WG 2.13 International Conference, OSS 2016, Gothenburg, Sweden, May 30 - June 2, 2016, Proceedings2016Konferanseproceedings (Fagfellevurdert)
    Abstract [en]

    This book constitutes the refereed proceedings of the 12th International IFIP WG 2.13 International Conference on Open Source Systems, OSS 2016, held in Gothenburg, Sweden, in May/June 2016. The 13 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers cover a wide range of topics related to free, libre, and open source software, including: organizational aspects of communities; organizational adoption; participation of women; software maintenance and evolution; open standards and open data; collaboration; hybrid communities; code reviews; and certification.

  • 215.
    Da Lio, Mauro
    et al.
    Dept. of Industrial Engineering University of Trento, Trento, Italy.
    Mazzalai, Alessandro
    Dept. of Industrial Engineering University of Trento, Trento, Italy.
    Windridge, David
    Dept. of Computer Science Middlesex University, London, United Kingdom.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Centre for Robotics and Neural Systems, University of Plymouth, United Kingdom.
    Svensson, Henrik
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Yueksel, Mehmed
    Robotics Innovation Center - DFKI GmbH German Research Center for Artificial Intelligence Bremen, Germany.
    Gurney, Kevin
    Dept. of Psychology University of Sheffield, Sheffield, United Kingdom.
    Saroldi, Andrea
    Centro Ricerche Fiat S.C.p.A. Orbassano (TO), Italy.
    Andreone, Luisa
    Centro Ricerche Fiat S.C.p.A. Orbassano (TO), Italy.
    Anderson, Sean R.
    Dept. of Automatic Control and Systems Engineering University of Sheffield, Sheffield, United Kingdom.
    Heich, Hermann-Josef
    Consulting – Research – Project Management Heich Consult GmbH, Hürth, Germany.
    Exploiting Dream-Like Simulation Mechanisms to Develop Safer Agents for Automated Driving The "Dreams4Cars" EU Research and Innovation Action2017Inngår i: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2017Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Automated driving needs unprecedented levels of reliably and safety before marked deployment. The average human driver fatal accident rate is 1 every 100 million miles. Automated vehicles will have to provably best these figures. This paper introduces the notion of dream-like mechanisms as a simulation technology to produce a large number of hypothetical design and test scenarios - especially focusing on variations of more frequent dangerous and near miss events. Grounded in the simulation hypothesis of cognition, we show here some principles for effective simulation mechanisms and an artificial cognitive system architecture that can learn from the simulated situations.

  • 216.
    Dahlbom, Anders
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    A comparison of two approaches for situation detection in an air-to-air combat scenario2013Inngår i: Modeling Decisions for Artificial Intelligence, Springer Berlin/Heidelberg, 2013, s. 70-81Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Combat survivability is an important objective in military air operations, which involves not being shot down by e.g. enemy aircraft. This involves analyzing data and information, detecting and estimating threats, and implementing actions to counteract threats. Beyond visual range missiles can today be fired from one hundred kilometers away. At such distances, missiles are difficult to detect and track. The use of techniques for recognizing hostile aircraft behaviors can possibly be used to infer the presence and for providing early warnings of such threats. In this paper we compare the use of dynamic Bayesian networks and fuzzy logic for detecting hostile aircraft behaviors.

  • 217.
    Dahlbom, Anders
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Petri nets for Situation Recognition2011Doktoravhandling, monografi (Annet vitenskapelig)
    Abstract [en]

    Situation recognition is a process with the goal of identifying a priori defined situations in a flow of data and information. The purpose is to aid decision makers with focusing on relevant information by filtering out situations of interest. This is an increasingly important and non trivial problem to solve since the amount of information in various decision making situations constantly grow. Situation recognition thus addresses the information gap, i.e. the problem of finding the correct information at the correct time. Interesting situations may also evolve over time and they may consist of multiple participating objects and their actions. This makes the problem even more complex to solve. This thesis explores situation recognition and provides a conceptualization and a definition of the problem, which allow for situations of partial temporal definition to be described. The thesis then focuses on investigating how Petri nets can be used for recognising situations. Existing Petri net based approaches for recognition have some limitations when it comes to fulfilling requirements that can be put on solutions to the situation recognition problem. An extended Petri net based technique that addresses these limitations is therefore introduced. It is shown that this technique can be as efficient as a rule based techniques using the Rete algorithm with extensions for explicitly representing temporal constraints. Such techniques are known to be efficient; hence, the Petri net based technique is efficient too. The thesis also looks at the problem of learning Petri net situation templates using genetic algorithms. Results points towards complex dynamic genome representations as being more suited for learning complex concepts, since these allow for promising solutions to be found more quickly compared with classical bit string based representations. In conclusion, the extended Petri net based technique is argued to offer a viable approach for situation recognition since it: (1) can achieve good recognition performance, (2) is efficient with respect to time, (3) allows for manually constructed situation templates to be improved and (4) can be used with real world data to find real world situations.

  • 218.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Helldin, Tove
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Supporting threat evaluation through visual analytics2013Inngår i: 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013), IEEE Press, 2013, s. 155-162Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Threat evaluation is concerned with estimating the level of threat posed by enemy units to one's own assets. This is an impact analysis problem which is important to address for supporting operators in achieving situation awareness. Due to the risky and complex nature of the threat evaluation tasks, it is imperative that the operators are supported by computerized systems as well as that they are an integral part of the threat evaluation process. To do so, the operators have to understand and be able to provide their input to the process, hence the need to make the threat evaluation process transparent to the operators. In order to implement a transparent threat evaluation support system, we argue that the process of visual analytics should provide valuable guidance. In this paper we suggest a model for using visual analytics in a threat evaluation context. We also investigate the potential of recognized threat evaluation models to be used within a visual analytics context. © 2013 IEEE.

  • 219.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Evolving Petri Net Situation Templates for Situation Recognition2009Inngår i: Proceedings of the 3rd Skövde Workshop on Information Fusion Topics (SWIFT 2009) / [ed] Ronnie Johansson, Joeri van Laere and Jonas Mellin, University of Skövde , 2009, s. 11-16Konferansepaper (Fagfellevurdert)
    Abstract [en]

     

    Situation recognition is an important problem to address in order to enhance the capabilities of modern surveillance systems. Situation recognition is concerned with finding a priori defined situations that possibly are instantiated in the present flow of information. It can be a rather tricky task to manually define templates for situations that evolve over time, and to at the same time achieve good results with respect to recall and precision on a situation recognition task. In this paper we present some initial results concerning the task of applying genetic algorithms to evolve Petri net based situation templates of interesting situations. Our results show that it is possible to evolve Petri nets that are on par with manually defined templates. However, more research is needed in order to establish the actual effects it has on recall and precision.

     

  • 220.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Goal-Directed Hierarchical Dynamic Scripting for RTS Games2006Inngår i: Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE -06) / [ed] John Laird & Jonathan Schaeffer, 2006, s. 21-28Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Learning how to defeat human players is a challenging task in today’s commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach for incorporating learning into real-time strategy games. Two alternatives for shortening the re-adaptation time when using dynamic scripting are also presented. Finally, this paper presents an effective way of throttling the performance of the adaptive artificial intelligence system. Put together, the approach entails the possibility of an artificial intelligence opponent to be challenging for a human player, but not too challenging.

  • 221.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Trajectory Clustering for Coastal Surveillance2007Inngår i: 10th International Conference on Information Fusion (FUSION 2007),, IEEE Press, 2007, s. 1-8Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention. Anomaly detection is concerned with finding deviations from normalcy and it is an increasingly important topic when providing decision support, since it can give hints towards where more analysis is needed. In this paper we explore trajectory clustering as a means for representing normal behavior in a coastal surveillance scenario. Trajectory clustering however suffers from some drawbacks in this type of setting and we therefore propose a new approach, spline-based clustering, with a potential for solving the task of representing the normal course of events.

  • 222.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    A Component-based Simulator for Supporting Research on Situation Recognition2009Inngår i: Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] John F Koegel Buford, SPIE - International Society for Optical Engineering, 2009, s. Article ID 735206-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Research on information fusion and situation management within the military domain, is often focused on data-driven approaches for aiding decision makers in achieving situation awareness. We have in a companion paper identified situation recognition as an important topic for further studies on knowledge-driven approaches. When developing new algorithms it is of utmost importance to have data for studying the problem at hand (as well as for evaluation purposes). This often become a problem within the military domain as there is a high level of secrecy, resulting in a lack of data, and instead one often needs to resort to artificial data. Many tools and simulation environments can be used for constructing scenarios in virtual worlds. Most of these are however data-centered, that is, their purpose is to simulate the real-world as accurately as possible, in contrast to simulating complex scenarios. In high-level information fusion we can however often assume that lower-level problems have already been solved - thus the separation of abstraction - and we should instead focus on solving problems concerning complex relationships, i.e. situations and threats. In this paper we discuss requirements that research on situation recognition puts on simulation tools. Based on these requirements we present a component-based simulator for quickly adapting the simulation environment to the needs of the research problem at hand. This is achieved by defining new components that define behaviors of entities in the simulated world.

  • 223.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Attempting to increase the Performance of Petri net based Situation Recognition2010Inngår i: Proceedings of the 22nd Benelux Conference on Artificial Intelligence, Benelux Association for Artificial Intelligence , 2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Situation recognition is an important problem to solve for introducing new capabilities in surveillance applications. It is concerned with recognizing a priori defined situations of interest, which are characterized as being of temporal and concurrent nature. The purpose is to aid decision makers with focusing on information that is known to likely be important for them, given their goals. Besides the two most important problems: knowing what to recognize and being able to recognize it, there are three main problems coupled to real time recognition of situations. Computational complexity — we need to process data and information within bounded time. Tractability — human operators must be able to easily understand what is being modelled. Expressability — we must be able to express situations at suitable levels of abstraction. In this paper we attempt to lower the computational complexity of a Petri net based approach for situation.

  • 224.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    DESIRER: a Development Environment for Situation Recognition Research2010Inngår i: Proceedings 2010 Second WRI Global Congress on Intelligent Systems: GCIS 2010: Volume 1 / [ed] Xinhan Huang, Li Da Xu, Zu De Zhou, Zhun Fan, M. M. Gupta, & Pan Wang, Los Alamitos, CA: IEEE Computer Society, 2010, s. 143-148Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Situation recognition is an important problem within the surveillance domain, which addresses the problem of recognizing a priori defined patterns of interesting situations that may be of concurrent and temporal nature, and which possibly are occurring in the present flow of data and information. There may be many viable approaches, with different properties, for addressing this problem however, something they must have in common is good efficiency and high performance. In order to determine if a potential solution has these properties, it is a necessity to have access to test and development environments. In this paper we present DESIRER, a development environment for working with situation recognition, and for evaluating and comparing different approaches.

  • 225.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Evolving Petri Nets for Situation Recognition2010Inngår i: GEM 2010: Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods / [ed] Hamid R. Arabnia, Ray R. Hashemi, Ashu M. G. Solo, CSREA Press, 2010, s. 29-35Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Situation recognition is an important problem to address for developing newcapabilities in the surveillance domain.  It is concerned with recognizing a priori defined situations of interest, which can be of concurrent and temporal nature, possibly occurring in a continuous flow of data and information. It is however a complex task to manually define what constitutes an interesting situation, and we therefore investigate the possibility of using genetic algorithms for evolving Petri nets for situation recognition. Our results show that: (1) it is possible to evolve complex Petri nets, (2) it is possible to increase the performance of manually  designed Petri nets, and (3) a dynamic genome representation consisting of  complex genes is beneficial compared to a representation consisting of bit strings.

  • 226.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Situation Recognition and Hypothesis Management Using Petri Nets2009Inngår i: Modeling Decisions for Artificial Intelligence: Proceedings of the 6th International Conference (MDAI 2009) / [ed] Vicenç Torra, Yasuo Narukawa, Masahiro Inuiguchi, Springer Berlin/Heidelberg, 2009, s. 303-314Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Situation recognition – the task of tracking states and identifying situations - is a problem that is important to look into for aiding decision makers in achieving enhanced situation awareness. The purpose of situation recognition is, in contrast to producing more data and information, to aid decision makers in focusing on information that is important for them, i.e. to detect potentially interesting situations. In this paper we explore the applicability of a Petri net based approach for modeling and recognizing situations, as well as for managing the hypothesis space coupled to matching situation templates with the present stream of data.

     

  • 227.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Loutfi, Amy
    Örebro University.
    Towards Template-based Situation Recognition2009Inngår i: Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] Stephen Mott, John F. Buford, Gabe Jakobson, Michael J. Mendenhall, SPIE - International Society for Optical Engineering, 2009, s. Article ID 735205-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The process of tracking and identifying developing situations is an ability of importance within the surveillance domain. We refer to this as situation recognition and believe that it can enhance situation awareness for decision makers. Situation recognition requires that many subproblems are solved. For instance, we need to establish which situations are interesting, how to represent these situations, and which inferable events and states that can be used for representing them. We also need to know how to track and identify situations and how to determine the correlation between present information about situations with knowledge. For some of these subproblems, data-driven approaches are suitable, whilst knowledge-driven approaches are more suitable for others. In this paper we discuss our current research efforts and goals concerning template-based situation recognition. We provide a categorization of approaches for situation recognition together with a formalization of the template-based situation recognition problem. We also discuss this formalization in the light of a pick-pocket scenario. Finally, we discuss future directions for our research on situation recognition. We conclude that situation recognition is an important problem to look into for enhancing the overall situation awareness of decision makers.

  • 228.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Nordlund, Per-Johan
    Aeronautics, Saab AB, Linköping, Sweden.
    Detection of Hostile Aircraft Behaviors using Dynamic Bayesian Networks2013Inngår i: Proceedings of the 16th International Conference on Information Fusion, IEEE Press, 2013, s. 2033-2040Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Aircraft Combat Survivability in military air operations is concerned with survival of the own aircraft. This entails analysis of information, detection and estimation of threats, and the implementation of actions to counteract detected threats. Beyond visual range weapons can today be fired from one hundred kilometers away, making them difficult to detect and track. One approach for providing early warnings of such threats is to analyze the kinematic behavior of enemy aircraft in order to detect situations that may point to malicious intent. In this paper we investigate the use of dynamic Bayesian networks for detecting hostile aircraft behaviors.

  • 229.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för informationsteknologi.
    Riveiro, Maria
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för informationsteknologi.
    Situation Modeling and Visual Analytics for Decision Support in Sports2014Inngår i: Proceedings of the 16th International Conference on Enterprise Information Systems: Volume 1 / [ed] Slimane Hammoudi, Leszek Maciaszek, José Cordeiro, SciTePress, 2014, s. 539-544Konferansepaper (Fagfellevurdert)
    Abstract [en]

    High performance is a goal in most sporting activities, for elite athletes as well as for recreational practitioners, and the process of measuring, evaluating and improving performance is one fundamental aspect to why people engage in sports. This is a complex process which possibly involves analyzing large amounts of heterogeneous data in order to apply actions that change important properties for improved outcome. The number of computer based decision support systems in the context of data analysis for performance improvement is scarce. In this position paper we briefly review the literature, and we propose the use of information fusion, situation modeling and visual analytics as suitable tools for supporting decision makers, ranging from recreational to elite, in the process of performance evaluation.

  • 230.
    Dahlbom, Anders
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Riveiro, Maria
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    König, Rikard
    University of Borås.
    Johansson, Ulf
    University of Borås.
    Brattberg, Peter
    University of Borås.
    Supporting Golf Coaching with 3D Modeling of Swings2014Inngår i: Sportinformatik X: Jahrestagung der dvs-Sektion Sportinformatik vom 10.-12. September 2014 in Wien / [ed] Arnold Baca & Michael Stöckl, Hamburg: Feldhaus Verlag GmbH & Co. KG , 2014, s. 142-148Kapittel i bok, del av antologi (Fagfellevurdert)
  • 231. Dahlbäck, Nils
    et al.
    Rambusch, Jana
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Susi, Tarja
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Distribuerad kognition2012Inngår i: Kognitionsvetenskap / [ed] Jens Allwood, Mikael Jensen, Studentlitteratur, 2012, 1, s. 487-496Kapittel i bok, del av antologi (Fagfellevurdert)
  • 232.
    Deegalla, Sampath
    et al.
    Stockholms Universitet.
    Boström, Henrik
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods2007Inngår i: Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2007) / [ed] H. Yin et al., Springer Berlin/Heidelberg, 2007, s. 800-809Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Dimensionality reduction can often improve the performance of the k-nearest neighbor classifier (kNN) for high-dimensional data sets, such as microarrays. The effect of the choice of dimensionality reduction method on the predictive performance of kNN for classifying microarray data is an open issue, and four common dimensionality reduction methods, Principal Component Analysis (PCA), Random Projection (RP), Partial Least Squares (PLS) and Information Gain(IG), are compared on eight microarray data sets. It is observed that all dimensionality reduction methods result in more accurate classifiers than what is obtained from using the raw attributes. Furthermore, it is observed that both PCA and PLS reach their best accuracies with fewer components than the other two methods, and that RP needs far more components than the others to outperform kNN on the non-reduced dataset. None of the dimensionality reduction methods can be concluded to generally outperform the others, although PLS is shown to be superior on all four binary classification tasks, but the main conclusion from the study is that the choice of dimensionality reduction method can be of major importance when classifying microarrays using kNN.

  • 233.
    Deegalla, Sampath
    et al.
    Dept. of Computer and Systems Sciences, Stockholm University, Sweden.
    Boström, Henrik
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Fusion of Dimensionality Reduction Methods: a Case Study in Microarray Classification2009Inngår i: Proceedings of the 12th International Conference on Information Fusion, ISIF , 2009, s. 460-465Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Dimensionality reduction has been demonstrated to improve the performance of the k-nearest neighbor (kNN) classifier for high-dimensional data sets, such as microarrays. However, the effectiveness of different dimensionality reduction methods varies, and it has been shown that no single method constantly outperforms the others. In contrast to using a single method, two approaches to fusing the result of applying dimensionality reduction methods are investigated: feature fusion and classifier fusion. It is shown that by fusing the output of multiple dimensionality reduction techniques, either by fusing the reduced features or by fusing the output of the resulting classifiers, both higher accuracy and higher robustness towards the choice of number of dimensions is obtained.

  • 234.
    Dessne, Karin
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Supporting Knowledge Management with Information Technology: The Significance of Formal and Informal Structures2012Licentiatavhandling, monografi (Annet vitenskapelig)
    Abstract [en]

    Knowledge Management (KM) is a relatively young field of research. It has traditionally aimed at managing work in organisations often by the assistance of supporting Information Technology (IT).

    In this thesis, the definition of KM is expressed as facilitating the intertwined process of learning and knowing in an organisation. in order to support this process by IT KM needs to be based on an understanding of the significance of the formal and informal structures that organisations are built on. Using the word knowing rather than knowledge assists in approaching the issue of how to facilitate learning and knowing, since it declares knowing as a process or as a state of mind. This process feeds on what is available in the form of nourishment, which is supplied in the form of information. KM then has two ways of supporting learning and knowing: by nourishing and by encouraging this process.

    Two analysis frameworks were constructed from two subsequent literature reviews of KM, Computer Supported Collaborative Work/Lerarning (CSCW/CSCL), and Communities of Practice (CoP). These models were used to describe and analyse the learning process of the selected case, a Swedish military organisation. It soon became evident that the formal learning process did not work as intended, and that the informal structures and processes struggled to accomplish the results that the formal process failed to deliver. The formal and informal processes were not aligned and neither worked satisfyingly. Informal structures exists within formal structures and they are both equally important. They are intertwined and dependent on each other. as the findings of this case study has revealed.

    In supporting learning and knowing in organisations, IT needs to support both formal and informal structures. IT could nourish structures and processes, and IT could encourage participation and interaction in them. As learning is based on interaction supporting it is vital, but at the same time, no interaction will occur without nourishment. These are the impĺications for IT when designing for learning and knowing in organisations. It is not only a matter of supplying and making information available, but also of encouraging interaction in aligned formal and informal structures.

  • 235.
    Ding, Jianguo
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Intrusion Detection, Prevention, and Response System (IDPRS) for Cyber-Physical Systems (CPSs)2015Inngår i: Securing Cyber Physical Systems / [ed] Al-Sakib Khan Pathan, Boca Raton, US: Taylor & Francis Group, 2015, s. 371-392Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    Cyber-physical systems (CPSs) are integrated physical, engineered, andsocial systems whose operations are monitored, coordinated, controlled, and integratedby a computing and communication core. Due to the dynamic structure ofCPSs, the security measurements are often complex. Given this fact, the objectiveof this chapter is to present the intrusion detection, prevention, and response system(IDPRS) for such a dynamic environment.

  • 236.
    Ding, Jianguo
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Atif, Yacine
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Andler, Sten F.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lindström, Birgitta
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Jeusfeld, Manfred
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    CPS-based Threat Modeling for Critical Infrastructure Protection2017Inngår i: Performance Evaluation Review, ISSN 0163-5999, E-ISSN 1557-9484, Vol. 45, nr 2, s. 129-132Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Cyber-Physical Systems (CPSs) are augmenting traditionalCritical Infrastructures (CIs) with data-rich operations. Thisintegration creates complex interdependencies that exposeCIs and their components to new threats. A systematicapproach to threat modeling is necessary to assess CIs’ vulnerabilityto cyber, physical, or social attacks. We suggest anew threat modeling approach to systematically synthesizeknowledge about the safety management of complex CIs andsituational awareness that helps understanding the nature ofa threat and its potential cascading-effects implications.

  • 237.
    Ding, Jianguo
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Chaparadza, Ranganai
    IPv6 Forum, ETSI-AFI , Berlin , Germany.
    Network Management2016Inngår i: Encyclopedia of Information Systems and Technology / [ed] Phillip A. Laplante, CRC Press, 2016, s. 881-899Kapittel i bok, del av antologi (Fagfellevurdert)
  • 238.
    Ding, Jianguo
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lindström, Birgitta
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Mathiason, Gunnar
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Andler, Sten F.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Towards Threat Modeling for CPS-based Critical Infrastructure Protection2015Inngår i: Proceedings of the International Emergency Management Society (TIEMS), 22nd TIEMS Annual Conference: Evolving threats and vulnerability landscape: new challenges for the emergency management / [ed] Snjezana Knezic & Meen Poudyal Chhetri, Brussels: TIEMS, The International Emergency Management Society , 2015, Vol. 22Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With the evolution of modern Critical Infrastructures (CI), more Cyber-Physical systems are integrated into the traditional CIs. This makes the CIs a multidimensional complex system, which is characterized by integrating cyber-physical systems into CI sectors (e.g., transportation, energy or food & agriculture). This integration creates complex interdependencies and dynamics among the system and its components. We suggest using a model with a multi-dimensional operational specification to allow detection of operational threats. Embedded (and distributed) information systems are critical parts of the CI where disruption can lead to serious consequences. Embedded information system protection is therefore crucial. As there are many different stakeholders of a CI, comprehensive protection must be viewed as a cross-sector activity to identify and monitor the critical elements, evaluate and determine the threat, and eliminate potential vulnerabilities in the CI. A systematic approach to threat modeling is necessary to support the CI threat and vulnerability assessment. We suggest a Threat Graph Model (TGM) to systematically model the complex CIs. Such modeling is expected to help the understanding of the nature of a threat and its impact on throughout the system. In order to handle threat cascading, the model must capture local vulnerabilities as well as how a threat might propagate to other components. The model can be used for improving the resilience of the CI by encouraging a design that enhances the system's ability to predict threats and mitigate their damages. This paper surveys and investigates the various threats and current approaches to threat modeling of CI. We suggest integrating both a vulnerability model and an attack model, and we incorporate the interdependencies within CI cross CI sectors. Finally, we present a multi-dimensional threat modeling approach for critical infrastructure protection.

  • 239.
    Dorell, Johan
    et al.
    EA DICE, Stockholm.
    Berg Marklund, Björn
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Starting from scratch: pragmatic and scalable guidelines to impactful games user research2018Inngår i: Games user research / [ed] Anders Drachen, Pejman Mirza-Babaei, Lennart E. Nacke, Oxford: Oxford University Press, 2018, 1, s. 431-452Kapittel i bok, del av antologi (Annet vitenskapelig)
  • 240.
    Drejing, Karl
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Hemeren, Paul
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Engagement: A traceable motivational concept in human-robot interaction2015Inngår i: Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on, IEEE Computer Society, 2015, s. 956-961Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Engagement is essential to meaningful social interaction between humans. Understanding the mechanisms by which we detect engagement of other humans can help us understand how we can build robots that interact socially with humans. However, there is currently a lack of measurable engagement constructs on which to build an artificial system that can reliably support social interaction between humans and robots. This paper proposes a definition, based on motivation theories, and outlines a framework to explore the idea that engagement can be seen as specific behaviors and their attached magnitude or intensity. This is done by the use of data from multiple sources such as observer ratings, kinematic data, audio and outcomes of interactions. We use the domain of human-robot interaction in order to illustrate the application of this approach. The framework further suggests a method to gather and aggregate this data. If certain behaviors and their attached intensities co-occur with various levels of judged engagement, then engagement could be assessed by this framework consequently making it accessible to a robotic platform. This framework could improve the social capabilities of interactive agents by adding the ability to notice when and why an agent becomes disengaged, thereby providing the interactive agent with an ability to reengage him or her. We illustrate and propose validation of our framework with an example from robot-assisted therapy for children with autism spectrum disorder. The framework also represents a general approach that can be applied to other social interactive settings between humans and robots, such as interactions with elderly people.

  • 241.
    Duarte, Denio
    et al.
    Universidade Federal da Fronteira Sul Chapecó Brazil.
    Ståhl, Niclas
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Machine Learning: A Concise Overview2019Inngår i: Data science in Practice / [ed] Alan Said, Vicenç Torra, Springer, 2019, s. 27-58Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    Machine learning is a sub-field of computer science that aims to make computers learn. It is a simple view of this field, but since the first computer was built, we have wondered whether or not they can learn as we do.

  • 242.
    Dudas, Catarina
    et al.
    Högskolan i Skövde, Forskningscentrum för Virtuella system. Högskolan i Skövde, Institutionen för teknik och samhälle.
    Boström, Henrik
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Using Uncertain Chemical and Thermal Data to Predict Product Quality in a Casting Process2009Inngår i: Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data / [ed] Jian Pei; Lise Getoor; Ander De Keijzer, AMC, Inc. , 2009, s. 57-61Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Process and casting data from different sources have been collected and merged for the purpose of predicting, and determining what factors affect, the quality of cast products in a foundry. One problem is that the measurements cannot be directly aligned, since they are collected at different points in time, and instead they have to be approximated for specific time points, hence introducing uncertainty. An approach for addressing this problem is investigated, where uncertain numeric features values are represented by intervals and random forests are extended to handle such intervals. A preliminary experiment shows that the suggested way of forming the intervals, together with the extension of random forests, results in higher predictive performance compared to using single (expected) values for the uncertain features together with standard random forests.

  • 243.
    Dudas, Catarina
    et al.
    Högskolan i Skövde, Forskningscentrum för Virtuella system. Högskolan i Skövde, Institutionen för teknik och samhälle.
    Ng, Amos
    Högskolan i Skövde, Forskningscentrum för Virtuella system. Högskolan i Skövde, Institutionen för teknik och samhälle.
    Boström, Henrik
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Information Extraction from Solution Set of Simulation-based Multi-objective Optimisation using Data Mining2009Inngår i: Proceedings of Industrial Simulation Conference 2009 / [ed] D. B. Das, V. Nassehi & L. Deka, EUROSIS-ETI , 2009, s. 65-69Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In this work, we investigate ways of extracting information from simulations, in particular from simulation-based multi-objective optimisation, in order to acquire information that can support human decision makers that aim for optimising manufacturing processes. Applying data mining for analyzing data generated using simulation is a fairly unexplored area. With the observation that the obtained solutions from a simulation-based multi-objective optimisation are all optimal (or close to the optimal Pareto front) so that they are bound to follow and exhibit certain relationships among variables vis-à-vis objectives, it is argued that using data mining to discover these relationships could be a promising procedure. The aim of this paper is to provide the empirical results from two simulation case studies to support such a hypothesis.

  • 244.
    Dura, Elzbieta
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Gawronska, Barbara
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Natural Language Processing in Information Fusion Terminology Management2008Inngår i: Proceedings of the 11th International Conference on Information Fusion, IEEE , 2008, s. 1388-1395Konferansepaper (Fagfellevurdert)
    Abstract [en]

     

    The dynamic development of information fusion research implies introduction of new terms and concepts, which in turn requires tools and methods for terminology organization and standardization, as well as tools for creating domain-specific ontology. In this paper, we show how natural language processing and corpus technology tools applied for term extraction from texts in biomedicine can successfully be used for the field of information fusion. We demonstrate term and information extraction from a corpus of research articles in information fusion, showing how a vision of a combined text retrieval and information extraction service can be made real.

     

  • 245.
    Dura, Elżbieta
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Gawronska, Barbara
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Novelty extraction from special and parallel corpora2009Inngår i: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers / [ed] Zygmunt Vetulani, Hans Uszkoreit, Springer Berlin/Heidelberg, 2009, s. 291-302Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    How can corpora assist translators in ways in which resources like translation memories or term databases cannot? Our tests on English, Polish and Swedish parts of the JRC-Acquis Multilingual Parallel show that corpora can provide support for term standardization and variation, and, most importantly, for tracing novel expressions. A corpus tool with an explicit dictionary representation is particularly suitable for the last task. Culler is a tool which allows one to select expressions with words absent from its dictionary. Even if the extracted material may be stained with some noise, it has an undeniable value for translators and lexicographers. The quality of extraction depends in a rather obvious way on the dictionary and text processing but also on the query.

  • 246.
    Duran, Boris
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Sandamirskaya, Yulia
    Institute of Neuroinformatics, University and ETH Zurich, Zurich, Switzerland.
    Learning Temporal Intervals in Neural Dynamics2018Inngår i: IEEE Transactions on Cognitive and Developmental Systems, ISSN 2379-8920, Vol. 10, nr 2, s. 359-372Artikkel i tidsskrift (Fagfellevurdert)
  • 247.
    Durisic, Darko
    et al.
    Volvo Car Group, Göteborg, Sweden.
    Staron, Miroslaw
    Chalmers University of Technology, Göteborg, Sweden / University of Gothenburg, Göteborg, Sweden.
    Tichy, Matthias
    Ulm University, Germany.
    Hansson, Jörgen
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Assessing the impact of meta-model evolution: a measure and its automotive application2019Inngår i: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, nr 2, s. 1419-1445Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Domain-specific meta-models play an important role in the design of large software systems by defining language for the architectural models. Such common modeling languages are particularly important if multiple actors are involved in the development process as they assure interoperability between modeling tools used by different actors. The main objective of this paper is to facilitate the adoption of new domain-specific meta-model versions, or a subset of the new architectural features they support, by the architectural modeling tools used by different actors in the development of large software systems. In order to achieve this objective, we developed a simple measure of meta-model evolution (named NoC-Number of Changes) that captures atomic modification between different versions of the analyzed meta-model. We evaluated the NoC measure on the evolution of the AUTOSAR meta-model, a domain-specific meta-model used in the design of automotive system architectures. The evaluation shows that the measure can be used as an indicator of effort needed to update meta-model-based tools to support different actors in modeling new architectural features. Our detailed results show the impact of 14 new AUTOSAR features on the modeling tools used by the main actors in the automotive development process. We validated our results by finding a significant correlation between the results of the NoC measure and the actual effort needed to support these features in the modeling tools reported by the modeling practitioners from four AUTOSAR tool vendors and the AUTOSAR tooling team at Volvo Cars. Generally, our study shows that quantitative analysis of domain-specific meta-model evolution using a simple measure such as NoC can be used as an indicator of the required updates in the meta-model-based tools that are needed to support new meta-model versions. However, our study also shows that qualitative analysis that may include an inspection of the actual meta-model changes is needed for more accurate assessment.

  • 248.
    Durán, Boris
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lee, Gauss
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lowe, Robert
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Learning a DFT-based sequence with reinforcement learning: A NAO implementation2012Inngår i: Paladyn - Journal of Behavioral Robotics, ISSN 2080-9778, E-ISSN 2081-4836, Vol. 3, nr 4, s. 181-187Artikkel i tidsskrift (Fagfellevurdert)
  • 249.
    Durán, Boris
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Sandamirskaya, Yulia
    Ruhr-Universität Bochum, Institut für Neuroinformatik, Universitätstr. 150, 44780 Bochum, Germany.
    Schöner, Gregor
    Ruhr-Universität Bochum, Institut für Neuroinformatik, Universitätstr. 150, 44780 Bochum, Germany.
    A dynamic field architecture for the generation of hierarchically organized sequences2012Inngår i: Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / [ed] Alessandro E. P. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm, Springer Berlin/Heidelberg, 2012, nr PART 1, s. 25-32Konferansepaper (Fagfellevurdert)
    Abstract [en]

    A dilemma arises when sequence generation is implemented on embodied autonomous agents. While achieving an individual action goal, the agent must be in a stable state to link to fluctuating and time-varying sensory inputs. To transition to the next goal, the previous state must be released from stability. A previous proposal of a neural dynamics solved this dilemma by inducing an instability when a "condition of satisfaction" signals that an action goal has been reached. The required structure of dynamic coupling limited the complexity and flexibility of sequence generation, however. We address this limitation by showing how the neural dynamics can be generalized to generate hierarchically structured behaviors. Directed couplings downward in the hierarchy initiate chunks of actions, directed couplings upward in the hierarchy signal their termination. We analyze the mathematical mechanisms and demonstrate the flexibility of the scheme in simulation. © 2012 Springer-Verlag.

  • 250.
    Durán, Boris
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Thill, Serge
    Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Modelling interaction in multi-modal affordance processing with neural dynamics2012Inngår i: From Animals to Animats 12: 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, Odense, Denmark, August 27-30, 2012. Proceedings / [ed] Tom Ziemke, Christian Balkenius, John Hallam, Berlin, Heidelberg: Springer Berlin/Heidelberg, 2012, s. 75-84Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Behavioral studies on the activation of affordances by understanding observation and action sentences on graspable objects show a direct relationship between the canonical orientation of graspable objects, their dimension and the kind of grip required by those objects to be grasped. The present work introduces the concepts of Dynamic Field Theory for modeling the results observed in the behavioral studies previously mentioned. The model was not only able to replicate qualitatively similar results regarding reaction times, but also the identification of same versus different object and the distinction between observable versus action sentences. The model shows the potential of dynamic field theory for the design and implementation of brain inspired cognitive systems. © 2012 Springer-Verlag.

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