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  • 1.
    Bai, Emilien
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Reward System for Collaborative Care of Elderly based on Distributed Ledger Technologies2017Ingår i: Proceedings of the Eleventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies: UBICOMM 2017, 2017Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents the design and implementation of a reward system for collaborative care of elderly based on distributed ledger technologies. The work is motivated by the demographic change, where an aging population consequently increases the need for care. This causes a great tension in our society, as care resources become increasingly constrained, both regarding costs and availability of care staff. Much of the daily care of the elderly is today done by family members (spouses, children) and friends, often on a voluntarily basis, which adds to the tension. The core idea of this work is to help broaden the involvement of people in caring for our elderly, enabled by a system for collaborative care. The proposed system benefits from recent advances in distributed ledger technologies, which similarly to digital currencies, are build on the ability for mutual agreements between people who do not know each other. The system also benefits from recent gamification techniques to motivate people to collaborate on a larger scale through performing simple daily tasks. The system builds on rewards automatically given when these smart contracts are fulfilled, a gamification technique that is believed to maintain motivation of the volunteers. In this paper, we thus describe a reward system designed to connect elderly and volunteers by mutual agreements implemented as smart contracts. 

  • 2. de Lange, Michiel
    et al.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Leindecker, Gerald
    Smart Citizens in the Hackable City: On the Datafication, Playfulness, and Making of Urban Public Spaces Through Digital Art2019Ingår i: CyberParks – The Interface Between People, Places and Technology: New Approaches and Perspectives / [ed] Carlos Smaniotta Costa, Springer, 2019, s. 157-166Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This contribution explores concepts, approaches and technologies used to make urban public spaces more playful and artful. Through a variety of compelling narratives involving play and art it assists in the design of new cyberparks, public spaces where digitally mediated interactions are an inherent part. How can play and interactive art be used to strengthen urban public spaces by fostering citizen engagement and participation? We propose to not only utilise interactive media for designing urban (public) spaces, but also for social innovation for the benefit of citizens. in cyberparks. The contribution connects urbanity, play and games, as well as concepts of active and passive interactive digital art as part of trends towards pervasive urban interaction, gameful design and artification. We position this as an important part of developing human-centred smart cities where social capital is central, and where citizens engaging in play and art are prerequisites for sustainable communities. Using art, play and games to foster citizen engagement and collaboration is a means to develop social technologies and support the development of collective intelligence in cyberparks. This is studied in concrete cases, such as the Ice Castle in Luleå, Sweden and the Ars Electronica in Linz, from a multi-disciplinary stance involving interaction design, digital art, landscape design, architecture, and health proficiencies. We will analyse two cases of gameful design and one case of digital interactive art being used to address urban issues. Rezone the game is an interactive multimedia game developed to tackle vacancy in the city of Den Bosch in the Netherlands. The Neighbourhood is a board game developed to involve various stakeholders in making their neighbourhood using water as a collective resource.

  • 3.
    Dehkhoda, Dorna
    Luleå tekniska universitet, Institutionen för system- och rymdteknik.
    Combining IRAM2 with Cost-BenefitAnalysis for Risk Management: Creating a hybrid method with traditional and economic aspects2018Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The aim of this thesis is to contribute to the risk methodology field by introducing a method

    that covers both economic and information security aspects. The aim is to provide a way for

    practitioners to get results that is enough for decision makers to make valid and well-grounded

    decisions. There are a lot of traditional risk assessment methods that focus on information

    security. There are also CBA (Cost-Benefit Analysis) methods that are used to make sure

    investments are cost-effective and provide value for the organization. The aim of this thesis is to

    combine those and see if they can be merged to one risk assessment method to increase the

    value of the result. CBA will be added to a more traditional risk assessment method called

    IRAM2. The thesis will evaluate if they are suited to be used together and if it provides a more

    valuable result when combining them than only using one of them. The research method that

    has been used in this study is ADR. It has been used as a way of working when producing a new

    hybrid method together with some design principles regarding how to combine traditional risk

    management with economic equations.

  • 4.
    Karvonen, Niklas
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Domain Knowledge-based Solution for HumanActivity Recognition: the UJA Dataset Analysis2018Konferensbidrag (Refereegranskat)
    Abstract [en]

    Detecting activities of daily living (ADL) allows for rich inference about user behavior,2 which can be of use in, for example, elderly care, battling chronic diseases, and psychological3 conditions. This paper proposes a domain knowledge-based solution for detecting 24 different4 ADLs in the UJA dataset. The solution is inspired by a Finite State Machine and performs activity5 recognition unobtrusively using binary sensor data only. Each day in the dataset is segmented into:6 morning, day, evening in order to facilitate the inference from the sensors. The model performs the7 ADL recognition in two steps. The first step is to detect the sequence of activities in a given event8 stream of binary sensors, and the second step is to assign a starting and ending times for each of9 detected activities. Our proposed model achieved an accuracy of 81.3% using only a very small10 amount of operations, making it an interesting approach for resource-constrained devices that are11 common in smart environments. It should be noted, however, that the model can end up in faulty12 states which could cause a series of misclassifications before the model is returned to the true state.

  • 5.
    Keller, Pascal
    Luleå tekniska universitet, Institutionen för system- och rymdteknik. Julius-Maximilians-Universität Würzburg.
    A New Application for Texture Mapping using 2D-3D Correspondences2016Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    This master thesis describes the development of an application for texture mapping. Itspurpose is to simplify quality assurance for carbon fiber workpieces. Thermographic images are captured of the same and mapped to a 3D model, this way it can be examined ina convenient and interactive manner. The Direct Linear Transformation (DLT) is used for2D-3D assignments. Contents are the mathematical background of the DLT, the graphicalvisualization via OpenGL and the detailed explanation of the mapping process. The visualization part dives deep into the components of a graphics engine and explains how toimplement decent and efficient scene rendering. CUDA and OpenCL are addressed as wellto demonstrate the possibilities of performance improving for highly parallelized tasks. Aconcluding experiment is conducted, proving operational reliability and only small deviations. The reasons for some deviations between the mapped images are discussed andrecommendations for solving them are offered.

  • 6.
    Magnusson, Jens
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik.
    Training Neural Network Potentials for Atomistic Calculations on Carbon Materials: An initial study on diamond structures2018Självständigt arbete på avancerad nivå (yrkesexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Machine Learning (ML) and especially implementations of  Neural Networks (NNs) is growing in popularity  across numerous application areas. One of which is the use of a trained NN as an interatomic potential in Atomistic Simulations (AS), a NN applied in this manner is referred to as a Neural Network Potential (NNP).

    A well established method of atomistic calculations is the use of the first principle Density Functional Theory (DFT). DFT can very precisely model properties of nanomaterials, but for large systems of atoms DFT is not a feasible method because of its heavy computational load. The use of NNPs enables accurate simulations of big systems of atoms with a reasonable low computational cost.

    Previous work by students at Luleå University of Technology (LTU) where NNs were trained on fullerenes and carbon nanotubes (CNTs) demonstrated promising results. The NNs trained by the use of Atomistic Machine-Learning Package (AMP) managed to predict energies with considerable accuracy (100 meV/atom), but the force predictions were problematic and did not reach desired accuracy (the force RMSE reached was 6 eV/Å). Attempts made to run AS such as Molecular Dynamics (MD) and Geometry Optimization (GO) were unsuccessful, likely due to a poor representation of forces. 

    This work aims to improve the performance of NNs on carbon materials by studying diamond structures using AMP, such that working AS can be achieved.This was done in two stages, first a feasibility study was made to find appropriate hyperparameters. Moreover a study was made, where NNs was trained with the hyperparameters found. Two types of feature mapping descriptors were considered here, Gaussian and Zernike.The NNs trained was used as NNPs to perform MD and GO simulations as a mean of evaluation. The NNPs were also used to calculate the phonon dispersion curve of diamond.The trained NNPs in this work managed to perform AS and calculate the phonon dispersion curve with varying success. The best performing NN trained on 333 super-cells of diamond reached an accuracy of 120 meV/atom when predicting energies, and 640 meV/Å predicting forces. A NNP trained with Gaussian descriptors turned out to be 10 times faster than the reference simulation done with DFT, compared while performing a single step in a GO. The phonon dispersion curve produced by the Gaussian NNP displayed a striking resemblance to the reference produced by using DFT. Phonon dispersion curves produced by the Zernike NNP was distorted and involved a great deal of imaginary frequencies, but the correct amplitude was reached.The Gaussian NNPs trained in this work turned out to be faster and better in almost all regards compared to the Zernike alternative. The only time Zernike outperformed Gaussian descriptors were in the total energy reached in a GO simulation applying the NNPs from the study. Compared to DFT results the Zernike error was 0.26 eV (0.05%) and the Gaussian error was 0.855 eV (0.17%). MD simulations where the NNPs was used worked well for the Gaussian variant but not for the Zernike.With the AS up and running (at least for the Gaussian NNP) the following step is either to improve the performance on diamond structures. Or to include more carbon materials in the studies such as CNT and fullerenes.

  • 7.
    Michel, Hannes
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Digitala tjänster och system.
    Visualizing audit log events at the Swedish Police Authority to facilitate its use in the judicial system2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Within the Swedish Police Authority, physical users’ actions within all systems that manage sensitive information, are registered and sent to an audit log. The audit log contains log entries that consist of information regarding the events that occur by the performing user. This means that the audit log continuously manages massive amounts of data which is collected, processed and stored. For the police authority, the audit log may be useful for proving a digital trail of something that has occurred.

    An audit log is based upon the collected data from a security log. Security logs can collect datafrom most of the available systems and applications. It provides the availability for the organizationto implement network surveillance over the digital assets where logs are collected in real-time whichenables the possibility to detect any intrusion over the network. Furthermore, additional assets thatlog events are generated from are security software, firewalls, operating systems, workstations,networking equipment, and applications.

    The actors in a court of law usually don’t possess the technical knowledge required to interpret alog events since they can contain variable names, unparsed data or undefined values. Thisemphasizes the need for a user-friendly artifact of the audit log events that facilitates its use.

    Researching a way of displaying the current data format and displaying it in an improvedpresentable manner would be beneficial as an academic research by producing a generalizablemodel. In addition, it would prove useful for the internal investigations of the police authority sinceit was formed by their needs.

  • 8.
    Migdalas, Athanasios
    et al.
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.
    Marinakis, Yannis
    Marinakis, Magdalene
    Variants and Formulations of the Vehicle Routing Problem2018Ingår i: Open Problems in Optimization and Data Analysis / [ed] Pardalos, Panos M., Springer Publishing Company, 2018, s. 91-127Kapitel i bok, del av antologi (Refereegranskat)
  • 9.
    Migdalas, Athanasios
    et al.
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.
    Pardalos, Panos
    Open Problems in Optimization and Data Analysis2018Bok (Refereegranskat)
    Abstract [en]

    Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book.  Each contribution provides the fundamentals  needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline.

  • 10. Migdalas, Athanasios
    et al.
    Rapanaki, Emmanouela
    Marinakis, Yannis
    Psychas, Iraklis-Dimitrios
    Marinakis, Yannis
    Marinaki, Magdalene
    A Clonal Selection Algorithm for Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem2019Ingår i: LOD 2018: Machine Learning, Optimization, and Data Science / [ed] Giuseppe Nicosia, Springer Publishing Company, 2019, s. 381-393Konferensbidrag (Refereegranskat)
    Abstract [en]

    Clonal Selection Algorithm is a very powerful NatureInspired Algorithm that has been applied in a number of different kindof optimization problems since the time it was first published. Also, inrecent years a growing number of optimization models have been pro-posed that are trying to reduce the energy consumption in vehicle rout-ing. In this paper, a new variant of Clonal Selection Algorithm, theParallel Multi-Start Multiobjective Clonal Selection Algorithm (PMS-MOCSA) is proposed for the solution of a Vehicle Routing Problem vari-ant, the Multiobjective Energy Reduction Multi-Depot Vehicle RoutingProblem (MERMDVRP). In the formulation four different scenarios areproposed where the distances between the customers and the depots areeither symmetric or asymmetric and the customers have either demandor pickup. The algorithm is compared with two other multiobjective algo-rithms, the Parallel Multi-Start Non-dominated Sorting Differential Evo-lution (PMS-NSDE) and the Parallel Multi-Start Non-dominated Sort-ing Genetic Algorithm II (PMS-NSGA II) for a number of benchmarkinstances.

  • 11.
    Mitra, Karan
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Saguna, Saguna
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Åhlund, Christer
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Ranjan, Rajiv
    Newcastle University.
    ALPINE: A Bayesian System For Cloud Performance Diagnosis And Prediction2017Ingår i: 2017 IEEE International Conference on Services Computing (SCC), Piscataway, NJ: IEEE, 2017, s. 281-288, artikel-id 8034996Konferensbidrag (Refereegranskat)
    Abstract [en]

    Cloud performance diagnosis and prediction is a challenging problem due to the stochastic nature of the cloud systems. Cloud performance is affected by a large set of factors such as virtual machine types, regions, workloads, wide area network delay and bandwidth. Therefore, necessitating the determination of complex relationships between these factors. The current research in this area does not address the challenge of modeling the uncertain and complex relationships between these factors. Further, the challenge of cloud performance prediction under uncertainty has not garnered sufficient attention. This paper proposes, develops and validates ALPINE, a Bayesian system for cloud performance diagnosis and prediction. ALPINE incorporates Bayesian networks to model uncertain and complex relationships between several factors mentioned above. It handles missing, scarce and sparse data to diagnose and predict stochastic cloud performance efficiently. We validate our proposed system using extensive real data and show that it predicts cloud performance with high accuracy of 91.93%.

  • 12.
    Nilsson, Jacob
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik.
    Improving the Security of the Android Pattern Lock using Biometrics and Machine Learning2017Självständigt arbete på avancerad nivå (yrkesexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    With the increased use of Android smartphones, the Android Pattern Lock graphical password has become commonplace. The Android Pattern Lock is advantageous in that it is easier to remember and is more complex than a five digit numeric code. However, it is susceptible to a number of attacks, both direct and indirect. This fact shows that the Android Pattern Lock by itself is not enough to protect personal devices. Other means of protection are needed as well.

    In this thesis I have investigated five methods for the analysis of biometric data as an unnoticable second verification step of the Android Pattern Lock. The methods investigated are the euclidean barycentric anomaly detector, the dynamic time warping barycentric anomaly detector, a one-class support vector machine, the local outlier factor anomaly detector and a normal distribution based anomaly detector. The models were trained using an online training strategy to enable adaptation to changes in the user input behaviour. The model hyperparameters were fitted using a data set with 85 users. The models are then tested with other data sets to illustrate how different phone models and patterns affect the results.       

    The euclidean barycentric anomaly detector and dynamic time warping (DTW) barycentric anomaly detector have a sub 10 \% equal error rate in both mean and median, while the other three methods have an equal error rate between 15 \% and 20 \% in mean and median. The higher performance of the euclidean and DTW barycentric anomaly detector is likely because they account for the time series nature of the data, while the other methods do not. Each user in the data set have provided each pattern at most 50 times, meaning that the long-term effects of user adaptation could not be studied.

    Publikationen är tillgänglig i fulltext från 2020-09-01 15:49
  • 13.
    Nilsson, Jacob
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Delsing, Jerker
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Interoperability and machine-to-machine translation model with mappings to machine learning tasksManuskript (preprint) (Övrigt vetenskapligt)
    Abstract [en]

    Modern large-scale automation systems integrate thousands to hundreds of thousands of physical sensors and actuators. Demands for more flexible reconfiguration of production systems and optimization across different information models, standards and legacy systems challenge current system interoperability concepts. Automatic semantic translation across information models and standards is an increasingly important problem that needs to be addressed to fulfill these demands in a cost-efficient manner under constraints of human capacity and resources in relation to timing requirements and system complexity. Here we define a translator-based operational interoperability model for interacting cyber-physical systems in mathematical terms, which includes system identification and ontology-based translation as special cases. We present alternative mathematical definitions of the translator learning task and mappings to similar machine learning tasks and solutions based on recent developments in machine learning. Possibilities to learn translators between artefacts without a common physical context, for example in simulations of digital twins and across layers of the automation pyramid are briefly discussed.

  • 14.
    Nilsson, Jacob
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Delsing, Jerker
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Interoperability automation considered as machine learning tasks2019Konferensbidrag (Övrigt vetenskapligt)
  • 15.
    Synnes, Kåre
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Artopoulos, Georgios
    The Cyprus Institute, Nicosia, Cyprus.
    Smaniotto Costa, Carlos
    Universidade Lusófona, Lisbon, Portugal.
    Menezes, Marluci
    National Laboratory for Civil Engineering – LNEC, Lisbon, Portugal.
    Redaelli, Gaia
    Politecnico di Milano, Milan, Italy.
    CyberParks Songs and Stories - Enriching Public Spaces with Localized Culture Heritage Material such as Digitized Songs and Stories: Enriching Public Spaces with Localized Culture Heritage Material such as Digitized Songs and Stories2019Ingår i: CyberParks - The Interface Between People, Places and Technology: New Approaches and Perspectives / [ed] Carlos Smaniotto Costa, Springer, 2019, s. 224-237Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter offers theoretical considerations and reflections on technological solutions that contribute to digitally supported documentation, access and reuse of localised heritage content in public spaces. It addresses immaterial cultural heritage, including informal stories that could emerge and be communicated by drawing hyperlinks between digitised assets, such as songs, images, drawings, texts and more, and not yet documented metadata, as well as augmenting interaction opportunities with interactive elements that relate to multiple media stored in databases and archives across Europe. The aim is to enable cultural heritage to be experienced in novel ways, supported by the proliferation of smartphones and ubiquitous Internet access together with new technical means for user profiling, personalisation, localisation, contextawareness and gamification. The chapter considers cyberparks as digitally enhanced public spaces for accessing and analyzing European cultural heritage and for enriching the interpretation of the past, along with theoretical ramifications and technological limitations. It identifies the capacities of a proposed digital environment together with design guidelines for interaction with cultural heritage assets in public spaces. The chapter concludes with describing a taxonomy of digital content that can be used in order to enhance association and occupation conditions of public spaces, and with discussing technological challenges associated with enriching public spaces with localized cultural heritage material.

  • 16.
    Taxidou, Andromachi
    et al.
    Technical University of Crete, Chania, Greece.
    Karafyllidis, Ioannis
    Technical University of Crete, Chania, Greece.
    Marinaki, Magdalene
    Technical University of Crete, Chania, Greece.
    Migdalas, Athanasios
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Industriell Ekonomi.
    A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem2019Ingår i: Variable Neighborhood Search: 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers / [ed] Angelo Sifaleras, Prof. Said Salhi, Jack Brimberg, Springer, 2019, Vol. 11328, s. 274-286Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper a Permutation Flowshop Scheduling Problem is solved using a hybridization of the Firefly algorithm with Variable Neighborhood Search algorithm. The Permutation Flowshop Scheduling Problem (PFSP) is one of the most computationally complex problems. It belongs to the class of combinatorial optimization problems characterized as NP-hard. In order to find high quality solutions in reasonable computational time, heuristic and metaheuristic algorithms have been used for solving the problem. The proposed method, Hybrid Firefly Variable Neighborhood Search algorithm, uses in the local search phase of the algorithm a number of local search algorithms, 1-0 relocate, 1-1 exchange and 2-opt. In order to test the effectiveness and efficiency of the proposed method we used a set of benchmark instances of different sizes from the literature.

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