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  • 151.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Spontaneous networking for secure collaborative applications in an infrastructureless environment2002Konferensbidrag (Refereegranskat)
  • 152.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Spontnet: experiences in configuring and securing small ad hoc networks2002Ingår i: Proceedings of the Fifth International Workshop on Network Applicances (IWNA5), 2002, 2Konferensbidrag (Refereegranskat)
    Abstract [en]

    In contrast with work focusing on routing problems in mobile ad hoc networks, this work addresses the problem of system configuration in such networks. In particular, we are interested in ways to instantiate the configuration infrastructure -- naming, addressing, authentication, and key distribution -- needed to establish small-to-medium scale ad hoc networks supporting collaborative applications. We argue that, in such spontaneous networks, much of the necessary infrastructure can be derived from the face-to-face human interactions that these networks are intended to facilitate. This approach has the additional advantage of being intuitive for the non-expert user.

  • 153.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gunningberg, Per
    Enabling limited traffic scheduling in asynchronous ad hoc networks2005Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present work-in-progress developing a communication framework that addresses the communication challenges of the decentralized multihop wireless environment. The main contribution is the combination of a fully distributed, asynchronous power save mechanism with adaptation of the timing patterns defined by the power save mechanism to improve the energy and bandwidth efficiency of communication in multihop wireless networks. The possibility of leveraging this strategy to provide more complex forms of traffic management is explored.

  • 154.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Rohner, Christian
    Timing is everything: the impact of wakeup schedule distribution on asynchronous power save protocols2005Rapport (Övrigt vetenskapligt)
    Abstract [en]

    Asynchronous power save protocols have been proposed for use in ad hoc networks. In many protocols, nodes independently follow a common periodic wakeup schedule, each with some unknown offset relative to its neighbors. The schedule is defined to ensure deterministic intervals of overlap between nodes, regardless of the distribution of the nodes' wakeup schedules. This paper studies the sensitivity of a simple asynchronous power save protocol to the actual distribution of the nodes' wakeup schedules. In practical terms: For given topology and traffic load, are there particularly "good" or "bad" distributions? We define a simplified model of network operation that allows us to study this question in simulation. The results show that the performance variation has a narrow probability distribution, but with long tails. The variation is shown to derive largely from timing dependencies rather than overall capacity of the system. The result suggests the feasibility of manipulating the wakeup schedule distribution to improve performance. Although the best wakeup distributions often mitigate the performance penalty imposed by the power save protocol, their relative rarity implies that randomized strategies will not be sufficient to obtain maximum advantage.

  • 155.
    Feeney, Laura Marie
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Westerlund, Assar
    RISE - Research Institutes of Sweden, ICT, SICS.
    Spontaneous networking: an application-oriented approach to ad hoc networking2001Ingår i: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 39, nr 6, s. 176-181Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    An ad hoc network must operate independently of a pre-established or centralised network management infrastructure, while still providing administrative services needed to support applications. Address allocation, name resolution, service location, authentication, and access control policies represent just some of the functionality that must be supported - without pre-configuration n or centralised services. In order to solve these problems, it is necessary to leverage some aspect of the environment in which the network operates. We introduce the notion of a spontaneous network, created when a group of people come together for some collaborative activity. In this case, we can use the human interactions associated with the activity in order to establish a basic service and security infrastructure. We structure our discussion around a practical real-world scenario illustrating the use of such a network, identifying the key challenges involved and some of the techniques that can be used to address them.

  • 156.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS.
    Andersson, Lars
    Lindgren, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Starborg, Stina
    Tidblad, Annika Ahlberg
    Poster Abstract: Using batteries wisely2012Konferensbidrag (Refereegranskat)
  • 157.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Hollos, Daniel
    Holger, Karl
    Kubisch, Martin
    Mengesha, Seble
    A geometric derivation of the probability of finding a relay in multi-rate networks2004Konferensbidrag (Refereegranskat)
    Abstract [en]

    Relaying can improve performance of a wireless network, especially when transmission modes with different distance/cost tradeoffs are available. Examples of such modes include data rates or transmission power. This paper geometrically analyzes the probability that a high-cost direct transmission can be replaced by a combination of low-cost relay transmissions. The main result of the analysis is a technology-agnostic characterization of a communication systems amenability to relaying strategies and some recommendations for how to structure such systems

  • 158.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Hollos, Daniel
    Holger, Karl
    Van Roy, Peter
    Mengesha, Seble
    Analysis and protocol design for rate adaptation for simple relay networks2004Konferensbidrag (Refereegranskat)
  • 159.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS.
    Rohner, Christian
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Leveraging a power save protocol to improve performance in ad hoc networks2007Ingår i: SIGMOBILE Mob. Comput. Commun. Rev., ISSN 1559-1662, Vol. 11, s. 51-52Artikel i tidskrift (Refereegranskat)
  • 160.
    Feeney, Laura Marie
    et al.
    RISE., Swedish ICT, SICS.
    Rohner, Christian
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    The impact of wakeup schedule distribution in synchronous power save protocols on the performance of multihop wireless networks2007Konferensbidrag (Refereegranskat)
    Abstract [en]

    By definition, the operation of an asynchronous power save protocol permits an arbitrary distribution of nodes' wakeup schedules. This wakeup schedule distribution creates an uncoordinated pattern of times at which nodes will attempt to transmit. Intuitively, we would expect that some patterns will be more (or less) favorable than others for a given traffic pattern. We investigate the impact of this wakeup pattern on network capacity and present simulation data showing that the capacity associated with the best wakeup patterns is significantly larger than that of the worst. This result not only gives insight to the behavior of such protocols, but also acts as a feasibility study showing the potential benefit of mechanisms by which nodes adapt their wakeup schedules to obtain improved performance.

  • 161.
    Feeney, Laura Marie
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Rohner, Christian
    Uppsala University, Sweden.
    Gunningberg, Per
    Uppsala University, Sweden.
    Lindgren, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Andersson, Lars
    Pricer AB, Sweden.
    How do the dynamics of battery discharge affect sensor lifetime?2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    Evaluation of energy consumption and device lifetime in battery-powered wireless sensor networks (WSN) is almost exclusively based on measurements or simulations of the total charge (i.e. total mA-h) consumed by the device. In reality, batteries are complex electro-chemical systems and their discharge behavior depends heavily on the timing and intensity of the applied load. However, there is very little empirical data or reliable models available for the kinds of batteries and loads that are typically used in WSNs. The effect of battery dynamics on sensor lifetime is therefore not well understood. We characterize CR2032 Li coin cells using carefully controlled synthetic loads and a wide range of WSN-typical load parameters. Our results are the first to quantify in-depth the discharge behavior of primary batteries in the WSN context. We report that in some common cases, observed lifetimes can differ from predicted ones by almost a factor of three. Furthermore, loads with similar average currents -- which would be expected to have similar lifetimes -- can vary significantly in the amount of capacity they can utilize, with short duration loads generally faring better. The results show that energy evaluation based on ``total mA-h consumed'' has significant limitations. This has important implications for the design and evaluation of WSN applications, as well as for important practical problems in network dimensioning and lifetime estimation.

  • 162. Ferreira, Diogo
    et al.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    On the Discovery of Process Models from Unlabelled Event Logs2009Konferensbidrag (Refereegranskat)
  • 163. Ferreira, J.J. P.
    et al.
    Antunes, N.S.
    Rabelo, R.J.
    Klen, Alexandra Pereira
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Dynamic Forecasting for Master Production Planning with Stock and Capacity Constraints2003Ingår i: E-Business Applications, Germany: Springer Verlag , 2003, 1Kapitel i bok, del av antologi (Refereegranskat)
  • 164.
    Forsgren, Malin
    et al.
    RISE., Swedish ICT, SICS. IAM.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Digitala tjänster för co-modal trafiksynkronisering i Göta älv-området2011Rapport (Övrigt vetenskapligt)
    Abstract [sv]

    Detta dokument sammanfattar det som har framkommit under en mindre förstudie inom ramen för projektet "Utveckling av innovativa, kundorienterade IT-baserade järnvägstjänster". Målet med förstudien var att undersöka dagens förutsättningar för att synkronisera co-modala skärningspunkter, med broöppningar som konkret exempel. Studien har tittat på vilken information som påverkar beslut om broöppningar med avsikt att kunna ge en indikation på vilka mekanismer och vilken information som skulle behövas från Trafikverkets perspektiv för att möjliggöra smidigare broöppningar för sjöfarten. Den faktor som enligt förstudien påverkar broöppningsmöjligheterna mest är bristen på tydliga riktlinjer för hur olika trafikslag ska prioriteras.

  • 165.
    Forsgren, Malin
    et al.
    RISE., Swedish ICT, SICS.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gestrelius, Sara
    RISE., Swedish ICT, SICS.
    Dahlberg, Hans
    Using timetabling optimization prototype tools in new ways to support decision making2013Ingår i: WIT Transactions on the Built Environment, ISSN 1746-4498, E-ISSN 1743-3509, Vol. 127Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The Swedish infrastructure manager Trafikverket is funding research for timetabling optimization tools as part of their overall mission to utilize the existing infrastructure more efficiently. Currently, Trafikverket is modernizing both planning processes and the IT architecture, and will soon be ready to start using optimization tools on a broad scale. Meanwhile, innovative uses of a prototype developed at SICS have shown how a prototype does not necessarily merely serve to pave way for a future, large-scale implementation. This paper shows how computers in railway planning, coupled with OR techniques, relevant data and apt modeling, can help provide a future user with valuable insights even before the full-fledged tool is in place.

  • 166.
    Forsgren, Malin
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Tågtrafikplanering med successiv tilldelning2009Rapport (Övrigt vetenskapligt)
    Abstract [sv]

    Idag konfliktregleras tågtrafiken i Sverige på sekundnivå redan i tidtabelläggningsfasen då operatörernas ansökningar har kommit in till Banverket, trots hög osäkerhet i planeringsunderlaget. Den här rapporten beskriver en tidtabelläggningsprocess där den detaljerade planeringen skjuts upp tills mer tillförlitliga fakta finns att tillgå. För den tidiga fasen föreslås i stället en mer översiktlig -- grov -- planering, vilken huvudsakligen mynnar ut i ett antal ankomster och avgångar som Banverket åtar sig att leverera punktligt till operatörerna. Poängen är att Banverket på så vis kan skjuta på besluten angående det som ska hända mellan åtagandepunkterna, och vi presenterar en konkret metod för hur detaljeringen som följer på den grova planeringen kan gå till. Metoden producerar en plan med en detaljeringsnivå som i stort överensstämmer med den i Banverkets tidtabelläggningssystem TrainPlan

  • 167.
    Forsgren, Malin
    et al.
    RISE., Swedish ICT, SICS.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Dahlberg, Hans
    The Maraca: a tool for minimizing resource conflicts in a non-periodic railway timetable2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    While mathematical optimization and operations research receive growing attention in the railway sector, computerized timetabling tools that actually make significant use of optimization remain relatively rare. SICS has developed a prototype tool for non-periodic timetabling that minimizes resource conflicts, enabling the user to focus on the strategic decisions. The prototype is called the Maraca and has been used and evaluated during the railway timetabling construction phase at the Swedish Transport Administration between April and September 2010.

  • 168.
    Forsgren, Malin
    et al.
    RISE., Swedish ICT, SICS.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Franzén, Thomas
    A Novel Approach to Railway Planning2009Konferensbidrag (Refereegranskat)
    Abstract [en]

    Today, detailed railway timetables in Sweden are published up to a year in advance, despite being based on volatile facts. We describe a new railway planning concept for Banverket, the Swedish Rail Administration, that aims to reduce the workload and increase the timetable quality, thus making railway traffic more cost-effective and attractive. The concept distinguishes between deliverables and production plans. The former are settled early and involve a selection of arrival and departure times that Banverket promises to deliver to the operators. The latter are fixed later, and only when sufficient information is available.

  • 169.
    Gestrelius, Sara
    et al.
    RISE., Swedish ICT, SICS.
    Bohlin, Markus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Danielsson, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Teknisk slutrapport för RANPLAN - Beräkningstöd för planering och resursallokering på rangerbangården2011Rapport (Övrigt vetenskapligt)
    Abstract [sv]

    I denna rapport presenteras de modeller och resultat som projektet/RANPLAN-beräkningsstöd för planering och resursallokering/ producerat. RANPLAN finansierades av Trafikverkets FUD-program (F 09-11546/AL50) och pågick från januari 2010 till december 2011. Under projektets gång har ett flertal heuristiska algoritmer och optimeringmodeller tagits fram som skulle kunna förbättra och förenkla planeringen vid rangerbangårdar. En demonstrator baserad på historiska data visar att metoderna är så pass skalbara och effektiva att de är attraktiva för kommersiell implementering. Vidare presenteras förslag på lämpliga effektivitets- och kvalitetsmått för rangering.

  • 170.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    On Practical machine Learning and Data Analysis2008Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    This thesis discusses and addresses some of the difficulties associated with practical machine learning and data analysis. Introducing data driven methods in e.g industrial and business applications can lead to large gains in productivity and efficiency, but the cost and complexity are often overwhelming. Creating machine learning applications in practise often involves a large amount of manual labour, which often needs to be performed by an experienced analyst without significant experience with the application area. We will here discuss some of the hurdles faced in a typical analysis project and suggest measures and methods to simplify the process. One of the most important issues when applying machine learning methods to complex data, such as e.g. industrial applications, is that the processes generating the data are modelled in an appropriate way. Relevant aspects have to be formalised and represented in a way that allow us to perform our calculations in an efficient manner. We present a statistical modelling framework, Hierarchical Graph Mixtures, based on a combination of graphical models and mixture models. It allows us to create consistent, expressive statistical models that simplify the modelling of complex systems. Using a Bayesian approach, we allow for encoding of prior knowledge and make the models applicable in situations when relatively little data are available. Detecting structures in data, such as clusters and dependency structure, is very important both for understanding an application area and for specifying the structure of e.g. a hierarchical graph mixture. We will discuss how this structure can be extracted for sequential data. By using the inherent dependency structure of sequential data we construct an information theoretical measure of correlation that does not suffer from the problems most common correlation measures have with this type of data. In many diagnosis situations it is desirable to perform a classification in an iterative and interactive manner. The matter is often complicated by very limited amounts of knowledge and examples when a new system to be diagnosed is initially brought into use. We describe how to create an incremental classification system based on a statistical model that is trained from empirical data, and show how the limited available background information can still be used initially for a functioning diagnosis system. To minimise the effort with which results are achieved within data analysis projects, we need to address not only the models used, but also the methodology and applications that can help simplify the process. We present a methodology for data preparation and a software library intended for rapid analysis, prototyping, and deployment. Finally, we will study a few example applications, presenting tasks within classification, prediction and anomaly detection. The examples include demand prediction for supply chain management, approximating complex simulators for increased speed in parameter optimisation, and fraud detection and classification within a media-on-demand system.

  • 171.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Ferreira, Diego
    Steinert, Rebecca
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Estimating the Parameters of Randomly Interleaved Markov Models2009Konferensbidrag (Refereegranskat)
  • 172.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    A brief introduction to hierarchical graph mixtures2004Konferensbidrag (Refereegranskat)
  • 173.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Dependency derivation in industrial process data2001Ingår i: Proceedings of the 2001 International Conference on Data Mining, Los Alamitos, California: IEEE Computer Society Press , 2001, 1, , s. 4s. 599-602Konferensbidrag (Refereegranskat)
  • 174.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Finding dependencies and delays in measured data2008Ingår i: Use of Modeling and Simulation in Pulp and Paper Industry, COST , 2008, 1Kapitel i bok, del av antologi (Refereegranskat)
  • 175.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Finding dependencies in industrial process data2002Ingår i: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, nr 50Artikel i tidskrift (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    Dependency derivation and the creation of dependency graphs are critical tasks for increasing the understanding of an industrial process. However, the most commonly used correlation measures are often not appropriate to find correlations between time series. We present a measure that solves some of these problems.

  • 176.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Incremental diagnosis with limited historical data2006Konferensbidrag (Refereegranskat)
  • 177.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Mixture models, graphical models, and hierarchical combinations2008Ingår i: Use of Modeling and Simulation in Pulp and Paper Industry, COST , 2008, 1Kapitel i bok, del av antologi (Refereegranskat)
  • 178.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Sales prediction with marketing data integration for supply chains2004Ingår i: E-Manufacturing: Business Paradigms and Supporting Technologies, Germany: Springer Verlag , 2004, 1Kapitel i bok, del av antologi (Refereegranskat)
  • 179.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Sales prediction with marketing data integration for supply chains2002Ingår i: Proceedings of the 18th International Conference on CAD/CAM, robotics and Factories of the Future, Vol. 1, 2002, 1Konferensbidrag (Refereegranskat)
  • 180.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    The gmdl Modeling and Analysis System2004Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This report describes the gmdl modeling and analysis environment. gmdl was designed to provide powerful data analysis, modeling, and visualization with simple, clear semantics and easy to use, well defined syntactic conventions. It provides an extensive set of necessary for general data preparation, analysis, and modeling tasks.

  • 181.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    Emulating first principles process simulators with learning systems2005Ingår i: Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, Germany: Springer , 2005, 1, s. 377-382Kapitel i bok, del av antologi (Refereegranskat)
  • 182.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    Aronsson, Martin
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    An English butler for complex industrial systems2003Ingår i: Proceedings of the 16th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2003), Växjö, Sweden: Växjö University Press , 2003, 1, , s. 9s. 405-413Konferensbidrag (Refereegranskat)
  • 183.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    Gudmundsson, Magnus
    RISE - Research Institutes of Sweden, ICT, SICS.
    Approximating process simulators with learning systems2005Rapport (Övrigt vetenskapligt)
    Abstract [en]

    We explore the possibility of replacing a first principles process simulator with a learning system. This is motivated in the presented test case setting by a need to speed up a simulator that is to be used in conjunction with an optimisation algorithm to find near optimal process parameters. Here we will discuss the potential problems and difficulties in this application, how to solve them and present the results from a paper mill test case.

  • 184.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Steinert, Rebecca
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Fault-tolerant incremental diagnosis with limited historical data2006Rapport (Övrigt vetenskapligt)
    Abstract [en]

    In many diagnosis situations it is desirable to perform a classification in an iterative and interactive manner. All relevant information may not be available initially and must be acquired manually or at a cost. The matter is often complicated by very limited amounts of knowledge and examples when a new system to be diagnosed is initially brought into use. Here, we will describe how to create an incremental classification system based on a statistical model that is trained from empirical data, and show how the limited available background information can still be used initially for a functioning diagnosis system.

  • 185.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    Rudström, Åsa
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Preparation and analysis of multiple source industrial process data2005Rapport (Övrigt vetenskapligt)
    Abstract [en]

    Industrial process data is often stored in a wide variety of formats and in several different repositories. Efficient methodologies and tools for data preparation and merging are critical for efficient analysis of such data. Experience shows that data analysis projects involving industrial data often spend the major part of their effort on these tasks, leaving little room for model development and generating applications. This paper identifies and classifies the needs and individual steps in data preparation of industrial data. A methodology for data preparation specifically suited for the domain is proposed and a practically useful set of primitive operations to support the methodology is defined. Finally, a proof of concept data preparation system implementing the proposed operations and a scripting facility to support the iterations in the methodology is presented along with a discussion of necessary and desirable properties of such a tool.

  • 186.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Rudström, Åsa
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Levin, Björn
    RISE - Research Institutes of Sweden, ICT, SICS.
    Data Preparation in Complex Industrial Systems2005Ingår i: Condition Monitoring and Diagnostic Engineering Management (COMADEM 2005), Cranfield, UK: Cranfield University Press , 2005, 5, s. 543-551Konferensbidrag (Refereegranskat)
  • 187.
    Gillblad, Daniel
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Steinert, Rebecca
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Holst, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Fault-tolerant incremental diagnosis with limited historical data2008Konferensbidrag (Refereegranskat)
    Abstract [en]

    We describe a novel incremental diagnostic system based on a statistical model that is trained from empirical data. The system guides the user by calculating what additional information would be most helpful for the diagnosis. We show that our diagnostic system can produce satisfactory classification rates, using only small amounts of available background information, such that the need of collecting vast quantities of initial training data is reduced. Further, we show that incorporation of inconsistency-checking mechanisms in our diagnostic system reduces the number of incorrect diagnoses caused by erroneous input.

  • 188. Gonzalez Prieto, Alberto
    et al.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Steinert, Rebecca
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Miron, Avi
    Towards Decentralized Probabilistic Management2011Ingår i: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 49, s. 80-86Artikel i tidskrift (Refereegranskat)
  • 189. Grasic, Samo
    et al.
    Davies, Elwyn
    Lindgren, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Doria, Avri
    The Evolution of a DTN Routing Protocol - PRoPHETv22011Konferensbidrag (Refereegranskat)
    Abstract [en]

    Research within Delay- and Disruption Tolerant Networks (DTN) has evolved into a mature research area. PRoPHET is a routing protocol for DTNs that was developed when DTN research was in its infancy and which has been studied by many. In this paper we investigate how the protocol can evolve to meet new challenges that has been identified through research and practical experience. We propose some minor modifications to the routing metric cal- culations done in PRoPHET which has potential to alleviate some issues and improve the performance of the protocol. Using these modifications, we define an updated version of the protocol called PRoPHETv2. We run simulations to verify the operation of the protocol and compare its performance against the original version of the protocol as well as some other routing protocols. The evalua- tions are done using both traces from an existing DTN deployment and a synthetic mobility model. Since the basic mechanisms of the protocol remain the same, migrating existing implementations to the new version of PRoPHET is possible with limited effort.

  • 190. Grasic, Samo
    et al.
    Lindgren, Anders
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    An Analysis of Evaluation Practices for DTN Routing Protocols2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    Over the past decade, a lot of research has been done to develop efficient routing protocols for Delay- and Disruption Tolerant Networks (DTNs). In the course of this work, many comparative evaluation studies have been done to determine which of two proposed protocols is the better one (for a given situation). The majority of these evaluations are based on results gained from simulated network environments. In order to conduct a relevant evaluation of routing schemes, numerous conditions, policies and data need to be specified and fed into the simulation environment. The aim of our work in this paper is to discuss current DTN evaluation practices through a thorough and critical literature study. Based on the surveyed material, we show some weaknesses and lack of argumentation used in the evaluations. Through this, we hope to aid in bridging the gap between simulated and real-world DTN environments. In addition, and as a call for further research, we propose a model for evaluation of DTN routing schemes that outlines the most crucial inputs that needs to be considered in the evaluation process. This model is then projected onto evaluation practices used for evaluations of DTN routing protocols in a set of sixteen papers roughly covering a decade of DTN research.

  • 191.
    Gunnar, Anders
    et al.
    RISE., Swedish ICT, SICS.
    Abrahamsson, Henrik
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Söderqvist, Mattias
    Performance of Traffic Engineering in Operational IP-Networks - An Experimental Study2005Ingår i: Proceedings of the The 5th IEEE International Workshop on IP Operations & Management IPOM 2005, 2005, 1Konferensbidrag (Refereegranskat)
  • 192.
    Gunnar, Anders
    et al.
    RISE., Swedish ICT, SICS.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Blume, Oliver
    Burness, Louise
    Eardley, Philip
    Hepworth, Eleanor
    Sachs, Joachim
    Surtees, Abigail
    Access and Path Selection in Ambient Networks2007Konferensbidrag (Refereegranskat)
  • 193.
    Görnerup, Olof
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Scalable Mining of Common Routes in Mobile Communication Network Traffic Data2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    A probabilistic method for inferring common routes from mobile communication network traffic data is presented. Besides providing mobility information, valuable in a multitude of application areas, the method has the dual purpose of enabling efficient coarse-graining as well as anonymisation by mapping individual sequences onto common routes. The approach is to represent spatial trajectories by Cell ID sequences that are grouped into routes using locality-sensitive hashing and graph clustering. The method is demonstrated to be scalable, and to accurately group sequences using an evaluation set of GPS tagged data.

  • 194.
    Görnerup, Olof
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Boman, Magnus
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    The Blogosphere at a Glance — Content-Based Structures Made Simple2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    A network representation based on a basic wordoverlap similarity measure between blogs is introduced. The simplicity of the representation renders it computationally tractable, transparent and insensitive to representation-dependent artifacts. Using Swedish blog data, we demonstrate that the representation, in spite of its simplicity, manages to capture important structural properties of the content in the blogosphere. First, blogs that treat similar subjects are organized in distinct network clusters. Second, the network is hierarchically organized as clusters in turn form higher-order clusters: a compound structure reminiscent of a blog taxonomy.

  • 195.
    Görnerup, Olof
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Vasiloudis, Theodore
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Domain-Agnostic Discovery of Similarities and Concepts at Scale2017Ingår i: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 51, s. 531-560Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Appropriately defining and efficiently calculating similarities from large data sets are often essential in data mining, both for gaining understanding of data and generating processes, and for building tractable representations. Given a set of objects and their correlations, we here rely on the premise that each object is characterized by its context, i.e. its correlations to the other objects. The similarity between two objects can then be expressed in terms of the similarity between their contexts. In this way, similarity pertains to the general notion that objects are similar if they are exchangeable in the data. We propose a scalable approach for calculating all relevant similarities among objects by relating them in a correlation graph that is transformed to a similarity graph. These graphs can express rich structural properties among objects. Specifically, we show that concepts - abstractions of objects - are constituted by groups of similar objects that can be discovered by clustering the objects in the similarity graph. These principles and methods are applicable in a wide range of fields, and will here be demonstrated in three domains: computational linguistics, music and molecular biology, where the numbers of objects and correlations range from small to very large.

  • 196.
    Görnerup, Olof
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Vasiloudis, Theodore
    RISE., Swedish ICT, SICS.
    Knowing an Object by the Company It Keeps: A Domain-Agnostic Scheme for Similarity Discovery2015Ingår i: 2015 IEEE International Conference on Data Mining, 2015, 18, s. 121-130, artikel-id 7373316Konferensbidrag (Refereegranskat)
    Abstract [en]

    Appropriately defining and then efficiently calculating similarities from large data sets are often essential in data mining, both for building tractable representations and for gaining understanding of data and generating processes. Here we rely on the premise that given a set of objects and their correlations, each object is characterized by its context, i.e. its correlations to the other objects, and that the similarity between two objects therefore can be expressed in terms of the similarity between their respective contexts. Resting on this principle, we propose a data-driven and highly scalable approach for discovering similarities from large data sets by representing objects and their relations as a correlation graph that is transformed to a similarity graph. Together these graphs can express rich structural properties among objects. Specifically, we show that concepts - representations of abstract ideas and notions - are constituted by groups of similar objects that can be identified by clustering the objects in the similarity graph. These principles and methods are applicable in a wide range of domains, and will here be demonstrated for three distinct types of objects: codons, artists and words, where the numbers of objects and correlations range from small to very large.

  • 197.
    Görnerup, Olof
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Karlgren, Jussi
    RISE., Swedish ICT, SICS.
    Cross-lingual comparison between distributionally determined word similarity networks2010Konferensbidrag (Refereegranskat)
    Abstract [en]

    As an initial effort to identify universal and language-specific factors that influence the behavior of distributional models, we have formulated a distributionally determined word similarity network model, implemented it for eleven different languages, and compared the resulting networks. In the model, vertices constitute words and two words are linked if they occur in similar contexts. The model is found to capture clear isomorphisms across languages in terms of syntactic and semantic classes, as well as functional categories of abstract discourse markers. Language specific morphology is found to be a dominating factor for the accuracy of the model.

  • 198.
    Görnerup, Olof
    et al.
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Kreuger, Per
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Gillblad, Daniel
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Autonomous Accident Monitoring Using Cellular Network Data2013Konferensbidrag (Refereegranskat)
    Abstract [en]

    Mobile communication networks constitute large-scale sensor networks that generate huge amounts of data that can be refined into collective mobility patterns. In this paper we propose a method for using these patterns to autonomously monitor and detect accidents and other critical events. The approach is to identify a measure that is approximately time-invariant on short time-scales under regular conditions, estimate the short and long-term dynamics of this measure using Bayesian inference, and identify sudden shifts in mobility patterns by monitoring the divergence between the short and long-term estimates. By estimating long-term dynamics, the method is also able to adapt to long-term trends in data. As a proof-of-concept, we apply this approach in a vehicular traffic scenario, where we demonstrate that the method can detect traffic accidents and distinguish these from regular events, such as traffic congestions.

  • 199.
    Heger, Tobias
    et al.
    University of Potsdam, Germany.
    Boman, Magnus
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Networked foresight—The case of EIT ICT Labs2014Ingår i: Technological Forecasting and Social Change, Vol. 101, s. 147-164Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The objective of this article is to explore the value of networked foresight: foresight conducted in innovation networks for the benefit of the network and its partners with active contributions from the partners. Strategic management, specifically the dynamic capabilities approach and vast literature on corporate and strategic foresight argue that deficiencies like one-dimensionality, narrow-sightedness and myopia of closed corporate processes are remedied by incorporating external sources. A broad knowledge base promises to especially benefit foresight in multiple ways. Thus, created an analytical framework that integrates the dynamic capabilities approach with existing results on potential value contributions of foresight, enriched with existing findings in networked foresight and organizational design in the light increasing importance of inter-organizational networks. We conducted a series of interviews and a survey among foresight practitioners in a network to explore the perceived value proposition of networked foresight for the network partners and the network itself. The analysis is based on data drawn from the EIT ICT Labs network of large industry corporations, small-and-medium sized companies, and academic and research institutes. Our study shows that network partners use the results primarily for sensing activities, i.e. data collection and to a lesser extend activity initiation. More sensitive and fundamental organizational aspects such as strategy and decision-making or path-dependency are less affected. Especially SMEs may benefit substantially from network approaches to foresight whereas MNEs are more confident in their existing corporate foresight processes and results. The value for the network itself is substantial and goes beyond value creation potential for companies as discussed in literature. The development of a shared vision—relatable to organizational learning and reconfiguration capabilities—was identified as particularly valuable for the network.

  • 200.
    Hoiland-Jorgensen, Toke
    et al.
    Karlstad University, Sweden.
    Ahlgren, Bengt
    RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.
    Hurtig, Per
    Karlstad University, Sweden.
    Brunstrom, Anna
    Karlstad University, Sweden.
    Measuring Latency Variation in the Internet2016Ingår i: Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, ACM Press, 2016, s. 473-480Konferensbidrag (Refereegranskat)
    Abstract [en]

    We analyse two complementary datasets to quantify the latency variation experienced by internet end-users: (i) a large-scale active measurement dataset (from the Measurement Lab Network Diagnostic Tool) which shed light on long-term trends and regional differences; and (ii) passive measurement data from an access aggregation link which is used to analyse the edge links closest to the user.

    The analysis shows that variation in latency is both common and of significant magnitude, with two thirds of samples exceeding 100, ms of variation. The variation is seen within single connections as well as between connections to the same client. The distribution of experienced latency variation is heavy-tailed, with the most affected clients seeing an order of magnitude larger variation than the least affected. In addition, there are large differences between regions, both within and between continents. Despite consistent improvements in throughput, most regions show no reduction in latency variation over time, and in one region it even increases.

    We examine load-induced queueing latency as a possible cause for the variation in latency and find that both datasets readily exhibit symptoms of queueing latency correlated with network load. Additionally, when this queueing latency does occur, it is of significant magnitude, more than 200\,ms in the median. This indicates that load-induced queueing contributes significantly to the overall latency variation.

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