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  • 101.
    Ericsson, Morgan
    et al.
    University of Gothenburg.
    Wingkvist, Anna
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Mining job ads to find what skills are sought after from an employers' perspective on IT graduates2014Ingår i: Proceedings of the 2014 conference on Innovation & technology in computer science education, ACM Publications, 2014, s. 354-354Konferensbidrag (Refereegranskat)
    Abstract [en]

    We mine job ads to discover what skills are required from an employers' perspective. Some obvious trends appear, such as skills related to web and mobile technology. We aim to uncover more detailed information as the study continues to allow course content to better match the expressed needs.

  • 102.
    Ericsson, Morgan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Wingkvist, Anna
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    TDMentions: A Dataset of Technical Debt Mentions in Online Posts2019Ingår i: 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON TECHNICAL DEBT (TECHDEBT 2019), IEEE, 2019, s. 123-124Konferensbidrag (Refereegranskat)
    Abstract [en]

    The term technical debt is easy to understand as a metaphor, but can quickly grow complex in practice. We contribute with a dataset, TDMentions, that enables researchers to study how developers and end users use the term technical debt in online posts and discussions. The dataset consists of posts from news aggregators and Q&A-sites, blog posts, and issues and commits on GitHub.

  • 103.
    Espadoto, Mateus
    et al.
    University of São Paulo, Brazil.
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Hirata, Nina S. T.
    University of São Paulo, Brazil.
    Telea, Alexandru C.
    Utrecht University, The Netherlands.
    Towards a Quantitative Survey of Dimension Reduction Techniques2019Ingår i: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Dimensionality reduction methods, also known as projections, are frequently used in multidimensional data exploration in machine learning, data science, and information visualization. Tens of such techniques have been proposed, aiming to address a wide set of requirements, such as ability to show the high-dimensional data structure, distance or neighborhood preservation, computational scalability, stability to data noise and/or outliers, and practical ease of use. However, it is far from clear for practitioners how to choose the best technique for a given use context. We present a survey of a wide body of projection techniques that helps answering this question. For this, we characterize the input data space, projection techniques, and the quality of projections, by several quantitative metrics. We sample these three spaces according to these metrics, aiming at good coverage with bounded effort. We describe our measurements and outline observed dependencies of the measured variables. Based on these results, we draw several conclusions that help comparing projection techniques, explain their results for different types of data, and ultimately help practitioners when choosing a projection for a given context. Our methodology, datasets, projection implementations, metrics, visualizations, and results are publicly open, so interested stakeholders can examine and/or extend this benchmark.

  • 104.
    Ezeani, Callistus
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    A Framework for MultiFactorAuthentication on Mobile Devices.- A Bayesian Approach2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The most authentication mechanism used in certain domains like home banking, infrastructure surveillance, industrial control, etc. are commercial off the Shelf (COTS) solutions. These are packaged solutions which are adapted to satisfy the need of the purchasing organization, Microsoft, for example, is a COTS software provider. Multifactor Authentication (MFA) is COTS. MFA in the context of this research provides a framework to improve the available techniques. This framework is based on biometrics and as such presents, an alternative to complement the traditional knowledge-based authentication techniques. With an overview based on the probability of failure to enroll(FTE), this research work evaluates available approaches and identifies promising avenues in utilizing MFA in modern mobile devices. Biometrics removes heuristic errors and probability adjustment errors by providing the full potential to increase MFA in mobile devices. The primary objective is to Identify discrepancies and limitation commonly faced by mobile owners during authentication.

  • 105.
    Fagerholm, Christian
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Time series analysis and forecasting: Application to the Swedish Power Grid2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    n the electrical power grid, the power load is not constant but continuouslychanging. This depends on many different factors, among which the habits of theconsumers, the yearly seasons and the hour of the day. The continuous change inenergy consumption requires the power grid to be flexible. If the energy provided bygenerators is lower than the demand, this is usually compensated by using renewablepower sources or stored energy until the power generators have adapted to the newdemand. However, if buffers are depleted the output may not meet the demandedpower and could cause power outages. The currently adopted practice in the indus-try is based on configuring the grid depending on some expected power draw. Thisanalysis is usually performed at a high level and provide only some basic load aggre-gate as an output. In this thesis, we aim at investigating techniques that are able topredict the behaviour of loads with fine-grained precision. These techniques couldbe used as predictors to dynamically adapt the grid at run time. We have investigatedthe field of time series forecasting and evaluated and compared different techniquesusing a real data set of the load of the Swedish power grid recorded hourly throughyears. In particular, we have compared the traditional ARIMA models to a neuralnetwork and a long short-term memory (LSTM) model to see which of these tech-niques had the lowest forecasting error in our scenario. Our results show that theLSTM model outperformed the other tested models with an average error of 6,1%.

  • 106.
    Ferati, Mexhid
    et al.
    Oslo and Akershus University, Norway.
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Interactive Institute Swedish ICT.
    Vogel, Bahtijar
    Malmö University.
    Raufi, Bujar
    South East European University, Macedonia.
    Augmenting requirements gathering for people with special needs using IoT: A position paper2016Ingår i: CHASE '16: Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering, ACM Press, 2016, s. 48-51Konferensbidrag (Refereegranskat)
    Abstract [en]

    Requirements gathering are an important aspect of application development, especially when users are people with special needs. Traditionally, this process is being conducted using conventional methods, such as interviews, workshops and questionnaires. These approaches, however, are unable to grasp the full context when collecting data from the communities of people with special needs, mainly because of the difficult access to participants and incomprehensiveness of the data gathered. To mitigate such issues, in this position paper, we argue that existing traditional methods could be complemented by means of Internet of Things. The immense amount of data gathered from various devices interconnected could help generate meaningful data that will complement the usually insufficient amount collected using traditional methods. This new approach is, however, associated with challenges that are discussed along with a possible scenario on how data complementing from traditional and the indirect method could be done. 

  • 107.
    Ferati, Mexhid
    et al.
    South East European University, Macedonia.
    Raufi, Bujar
    South East European University, Macedonia.
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Vogel, Bahtijar
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Accessibility Requirements for Blind and Visually Impaired in a Regional Context: An Exploratory Study2014Ingår i: 2014 IEEE 2nd International Workshop on Usability and Accessibility focused Requirements Engineering (UsARE) / [ed] Shah Rukh Humayoun, Norbert Seyff, Nauman A. Qureshi, Anna Perini, Achim Ebert, David Callele, and Simone D. J. Barbosa, IEEE Press, 2014, s. 13-16Konferensbidrag (Refereegranskat)
    Abstract [en]

    At the time when we are debating the Internet as a human right, an access to basic online information is a challenge for blind and visually impaired community. Steps taken for their digital inclusion, such as, the Web Content Accessibility Guidelines (WCAG) are often insufficient. In this paper we present initial requirements gathered during three workshops organized with various stakeholders coming from three different countries. Initial results suggest that the context of use and the cultural dimension play a crucial role in making digital content accessible for this community. Additionally, a one-solution-fits-all model is inadequate without considering levels of visual impairment when providing customized web and mobile experience. Finally, we lay out challenges that with comprehensive requirements gathering in the future, could address various problems that blind and visually impaired face.

  • 108.
    Ferati, Mexhid
    et al.
    Oslo and Akershus University College of Applied Sciences, Norway.
    Vogel, Bahtijar
    Malmö University.
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV). Interactive Institute Swedish ICT.
    Raufi, Bujar
    South East European University, Macedonia.
    Astals, David Salvador
    Universitat Autònoma de Barcelona, Spain.
    Web Accessibility for Visually Impaired People: Requirements and Design Issues2016Ingår i: Usability- and Accessibility-Focused Requirements Engineering: First International Workshop, UsARE 2012, Held in Conjunction with ICSE 2012, Zurich, Switzerland, June 4, 2012 and Second International Workshop, UsARE 2014, Held in Conjunction with RE 2014, Karlskrona, Sweden, August 25, 2014, Revised Selected Papers / [ed] Ebert, Achim; Humayoun, Rukh Shah; Seyff, Norbert; Perini, Anna; Barbosa, D.J. Simone, Cham: Springer, 2016, s. 79-96Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Access to web content continues to be a challenge for the visually impaired, as the needs of such community are very diverse. The access is further hindered by the fact that designers continue to build websites non-compliant with Web Content Accessibility Guidelines (WCAG). To better understand the needs of the visually impaired community, three workshops were organized with various stakeholders coming from three different countries. The results from the workshops suggest that one-solution-fits-all model is inadequate without considering the levels of visual impairment when providing customized web experience. A set of requirements devised from the workshops guided the process of building a middleware prototype. Using eight adaptation techniques, the prototype provides the required user experience based on users level of visual impairment. Preliminary evaluation of the middleware suggests that several adaptation techniques perform better with non-WCAG compliant websites compared to those being compliant.

  • 109.
    Filieri, Antonio
    et al.
    Imperial College London, UK.
    Maggio, Martina
    Lund University.
    Angelopoulos, Konstantinos
    University of Brighton , UK.
    D'Ippolito, Nicolás Roque
    Universidad de Buenos Aires, Argentina Author.
    Gerostathopoulos, Ilias Th
    Technical University of Munich, Faculty of Informatics, Germany .
    Hempel, Andreas Berndt
    Hoffmann, Henry C.
    University of Chicago, United States.
    Jamshidi, Pooyan
    Carnegie Mellon University, United States .
    Kalyvianaki, Evangelia
    University of London, UK.
    Klein, Cristian
    Umeå University.
    Křikava, Filip
    Ceske vysoke uceni technicke v Praze, Czech .
    Misailović, Saša
    Papadopoulos, Alessandro Vittorio
    Mälardalens Högskola.
    Ray, Suprio
    University of New Brunswick, Canada .
    Molzam Sharifloo, Amir
    Universitat Duisburg-Essen, Germany .
    Shevtsov, Stepan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Ujma, Mateusz
    University of Oxford, UK.
    Vogel, Thomas
    Hasso-Plattner-Institut fur Softwaresystemtechnik, Germany.
    Control strategies for self-adaptive software systems2017Ingår i: ACM Transactions on Autonomous and Adaptive Systems, ISSN 1556-4665, E-ISSN 1556-4703, Vol. 11, nr 4, artikel-id 24Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    The pervasiveness and growing complexity of software systems are challenging software engineering to design systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously changing execution environments. Control theoretical adaptation mechanisms have received growing interest from the software engineering community in the last few years for their mathematical grounding, allowing formal guarantees on the behavior of the controlled systems. However, most of these mechanisms are tailored to specific applications and can hardly be generalized into broadly applicable software design and development processes. This article discusses a reference control design process, from goal identification to the verification and validation of the controlled system. A taxonomy of the main control strategies is introduced, analyzing their applicability to software adaptation for both functional and nonfunctional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the article highlights a set of open challenges, both for the software engineering and the control theory research communities.

  • 110.
    Flammini, Francesco
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Artificial Intelligence (AI) applicata agli Autonomous Systems2018Bok (Övrigt vetenskapligt)
    Abstract [en]

    The study of artificial intelligence applied to autonomous systems has in recent years aroused growing interest at the international level, and it is expected that this interest will continue to grow in the coming years [34]. It is a fairly well known fact that in the past many technologies now used in the civil field have seen the light, more or less secretly, in the military sector. Consider, for example, the so-called ARPANET, developed by the US defense department, which anticipated the modern Internet, but also algorithms for data encryption, thermal cameras, and many other commonly used technologies. Today the scenario has partly changed, shifting the leadership of innovation towards other domains, since there is a considerable boost to the technological development in the civil field with the advance of connected society paradigms like Smart-City and Industry 4.0. One example is related to the self-driving vehicles, born in the military sector, which are developing more rapidly in the civil sphere with the attractive self-driving cars. It is therefore important to transfer enabling technologies from one domain to another (cross-fertilization) and to draw appropriately from the outside (open innovation). This is achieved through studies and researches such as the one addressed by this monograph. The objective of this study is to analyze the principles, the basic methodologies and the operational tools of artificial intelligence applied to autonomous systems, at the modeling and technology level, in order to replace human-controlled vehicles with autonomous or semi-autonomous vehicles (e.g. drones) in high-risk operating environments, as well as to reduce human errors and to speed up response times, for example in operations command and control centers. The study presents an overview of the information fusion approaches to enable artificial cognition, mentioning several relevant applications in the military field, already at an advanced phase of development or even at an embryonic level. These approaches can be used to strengthen weapon systems and defense means, with greater ability to adapt to the operational context for the dynamic management of uncertainties and unforeseen events, as well as for experiential evolution and learning. Future applications include not only self-driving vehicles and smart weapons, but also the strengthening of soldiers through prosthetics and exoskeletons. Many of the future projections have been formalized by the working group on Symbiotic Autonomous Systems – which the writer is a member of – of the Institute of Electrical and Electronics Engineers (IEEE), enclosed in a special White Paper [34]. The present study addresses the impact of the Artificial Intelligence (AI) on the use of the military instrument when this technology will be applied to military assets and weapon systems, taking into account the different declinations of AI, including: • deterministic (semi)autonomous systems implemented through Boolean logical operators (eg Event Trees); • (semi)Autonomous systems based on probabilistic / stochastic models for the representation of knowledge and inference (eg Bayesian Networks); • (semi)Autonomous systems based on trained artificial neuronal models (ANN, Artificial Neural Networks). These approaches are based on different models of machine learning, which can be supervised or not. They apply to classification and clustering approaches in modern data analysis approaches, particularly in the presence of large amounts of information (big data analytics). This study distinguishes between semi-autonomous AI models, which require the confirmation of decisions by human operators (DSS, Decision Support Systems), and complete autonomy, which presents predictability problems impacting the verification and validation process and therefore system safety. These are the cases in which the aforementioned ethical, procedural, normative and legal implications are more relevant [1]. The introduction of autonomous systems equipped with artificial intelligence involves transformations also at the level of military logistics, which can be interpreted in two directions. On the one hand, it is necessary to plan the procurement of enabling technologies, the so-called deployable systems based on secure wireless networks, and the updating of systems to support complete digitalisation, which is an essential pre-requisite for the adoption of the instrument. The other side of the coin is the use of a higher level of automation in military logistics, supported by the AI. Here we can mention the automatic multi-objective optimization algorithms for decision support (eg genetic and evolutionary programming), the computation of the most efficient paths (in terms of time, energy, etc.), the dynamic definition of optimization priorities, as well as aspects of resilience through automatic re-planning of the route in the event of interruptions on the predefined trajectory. For all that has been said so far, it is clear that the development of the AI will have consequences on the future organization of the armed forces, both for the conduct of the operations and for the structure and numbers of the defense sector. As in other areas subject to automation through the use of new digital technologies, even in the military one the human role of decision supervision, feedback and control of high-level operations will remain decisive for many years. At the same time, however, the need for training and specialization in line with the complete computerization will arise, with significant impacts in terms of information security (or cybersecurity), which will require increasingly specific skills. The fact that complete autonomy would be possible in the event of unavailability of personnel in control centers implies not only a higher level of security, but also the possibility of reducing organizational redundancies by dedicating resources to different and more specialized tasks. As already underlined, there are significant ethical and legal implications related to future decision-making processes for the choice of using force through a weapon system governed by an artificial intelligence, potentially endowed with a high level of autonomy. It is therefore essential to define clear and shared limitations and conditions of autonomy for the verifiability and traceability of the decision-making process. In particular, in order to govern decision-making and prevent ambiguities, it is essential to apply the well-known RACI (Responsible Accountable Consulted Informed) paradigm, which defines for each action who is responsible for its implementation, who is associated with its administrative / legal responsibility, who will have to be consulted for further information and possible approval, and finally who will have to be simply, but obligatorily, informed. All aspects related to international safety certifications that regulate design, development and verification of systems whose malfunctions can impact on the safety of people are also essential. Many of the current reference standards are no longer adequate if we consider the current and anticipated evolution of AI, and therefore they will have to be adjusted accordingly.

  • 111.
    Flammini, Francesco
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Sistemi autonomi simbiotici e sicurezza2019Ingår i: Mondo Digitale, ISSN 1720-898X, nr 80Artikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    This paper addresses the security of the interactions between machines and humans in the context of Symbiotic Autonomous Systems (SAS). In particular, the paper will provide an overview of the security in interconnected devices, including cybersecurity and Cyber-Physical Systems (CPS) security. We will also mention some recent security developments related to the Internet of Things (IoT).

  • 112.
    Flammini, Francesco
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Gaglione, A
    Mazzino, N
    Mazzocca, N
    Pragliola, C
    La security nei sistemi di trasporto a guida vincolata: analisi del rischio e strategie di protezione2007Konferensbidrag (Refereegranskat)
  • 113.
    Flammini, Francesco
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Marrone, Stefano
    Univ Campania Luigi Vanvitelli, Italy.
    Nardone, Roberto
    Univ Naples Federico II, Italy.
    Petrillo, Alberto
    Univ Naples Federico II, Italy.
    Santini, Stefania
    Univ Naples Federico II, Italy.
    Vittorini, Valeria
    Univ Naples Federico II, Italy.
    Towards Railway Virtual Coupling2018Ingår i: 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) / [ed] IEEE, IEEE, 2018Konferensbidrag (Refereegranskat)
  • 114.
    Forsgren, Robert
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Petersson Vasquez, Erik
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    REGTEST - an Automatic & Adaptive GUI Regression Testing Tool.2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Software testing is something that is very common and is done to increase the quality of and confidence in a software. In this report, an idea is proposed to create a software for GUI regression testing which uses image recognition to perform steps from test cases. The problem that exists with such a solution is that if a GUI has had changes made to it, then many test cases might break. For this reason, REGTEST was created which is a GUI regression testing tool that is able to handle one type of change that has been made to the GUI component, such as a change in color, shape, location or text. This type of solution is interesting because setting up tests with such a tool can be very fast and easy, but one previously big drawback of using image recognition for GUI testing is that it has not been able to handle changes well. It can be compared to tools that use IDs to perform a test where the actual visualization of a GUI component does not matter; It only matters that the ID stays the same; however, when using such tools, it either requires underlying knowledge of the GUI component naming conventions or the use of tools which automatically constructs XPath queries for the components. To verify that REGTEST can work as well as existing tools a comparison was made against two professional tools called Ranorex and Kantu. In those tests, REGTEST proved very successful and performed close to, or better than the other software.

  • 115.
    Frankeline, Tanyi
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Attack Modeling and Risk Assessments in Software Defined networking (SDN)2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Software Defined Networking (SDN) is a technology which provides a network architecture with three distinct layers that is, the application layer which is made up of SDN applications, the control layer which is made up of the controller and the data plane layer which is made up of switches. However, the exits different types of SDN architectures some of which are interconnected with the physical network. At the core of SDN, the control plane is physically and logically separated from the data plane. The controller is connected to the application layer through an interface known as the northbound interface and to the data plane through another interface known as the southbound interface. The centralized control plane uses APIs to communicate through the northbound and southbound interface with the application layer and the data plane layer respectively. By default, these APIs such as Restful and OpenFlow APIs do not implement security mechanisms like data encryption and authentication thus, this introduces new network security threats to the SDN architecture. This report presents a technique known as threat modeling in SDN. To achieve this technique, attack scenarios are created based on the OpenFlow SDN vulnerabilities. After which these vulnerabilities are defined as predicates or facts and rules, a framework known as multihost multistage vulnerability analysis (MulVAL) then takes these predicates and rules to produce a threat model known as attack graph. The attack graph is further used to performed quantitative risk analysis using a metric to depict the risks associated to the OpenFlow SDN model

  • 116.
    Franzén, Emil
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för fysik och elektroteknik (IFE).
    Karlsson, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Utveckling av dynamiskt verktyg mot REST-API i C#2018Självständigt arbete på grundnivå (högskoleexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    In February 2018 the students Andreas Karlsson and Emil Franzén contacted Danfoss Power Solutions in Älmhult, shortly after they were offered to perform a thesis. A thesis about developing an SDK in the programming language C# for Danfoss Power Solutions newly developed API, PLUS+1 System API 2.0. As a part of the thesis a mini service tool was to be created to show the powers of the SDK and then evaluate the SDK by letting a company perform a usability test. By the end of May an SDK was delivered written in C# along with a mini service tool for use in demonstration. But because of time issues there were no usability test performed.

  • 117.
    Garcia-Valls, Marisol
    et al.
    Univ Carlos III Madrid, Spain.
    Perez-Palacin, Diego
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Mirandola, Raffaela
    Politecn Milan, Italy.
    Pragmatic cyber physical systems design based on parametric models2018Ingår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 144, s. 559-572Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The adaptive nature of cyber physical systems (CPS) comes from the fact that they are deeply immersed in the physical environments that are inherently dynamic. CPS also have stringent requirements on real-time operation and safety that are fulfilled by rigorous model design and verification. In the real-time literature, adaptation is mostly limited to off-line modeling of well known and predicted transitions; but this is not appropriate for cyber physical systems as each transition can have unique and unknown characteristics. In the adaptive systems literature, adaptation solutions are silent about timely execution and about the underlying hardware possibilities that can potentially speed up execution. This paper presents a solution for designing adaptive cyber physical systems by using parametric models that are verified during the system execution (i.e., online), so that adaptation decisions are made based on the timing requirements of each particular adaptation event. Our approach allows the system to undergo timely adaptations that exploit the potential parallelism of the software and its execution over multicore processors. We exemplify the approach on a specific use case with autonomous vehicles communication, showing its applicability for situations that require time-bounded online adaptations.

  • 118.
    Georgiadis, Abraham
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Yousefi, Shahrouz
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Analysis of the user experience in a 3D gesture-based supported mobile VR game2017Ingår i: VRST '17 Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, ACM Publications, 2017, artikel-id 47Konferensbidrag (Refereegranskat)
    Abstract [en]

    The work presented in this paper, explored the enhancement of User Experience (UX) by introducing a novel gesture-based controller in a mobile multiplayer Virtual Reality (VR) game. Using only the smartphone's RGB camera, the image input was used for both gesture analysis, capable of understanding user actions, as well as segmenting the real hand that was illustrated in the Virtual Environment (VE). Users were also able to share the VR space by cooperating in a survival-strategy scenario. The results from the user studies indicated that both the bare hand controller and the addition of another player in the VR scene, affected the experience for the participants. Users had a stronger feeling of presence in the VE when participated with an other user, and the visual representation of their hand in the VR world made the interactions seem more natural. Even though, there is still a number of limitations, this project nodes this approach capable of offering a natural and engaging solution of VR interaction, capable of rich UX while maintaining a low entry level for the end users.

  • 119.
    Gerasimou, Simos
    et al.
    University of York, UK.
    Calinescu, Radu
    University of York, UK.
    Shevtsov, Stepan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). KU Leuven, Belgium.
    UNDERSEA: An Exemplar for EngineeringSelf-Adaptive Unmanned Underwater Vehicles2017Ingår i: 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, 2017, s. 83-89Konferensbidrag (Refereegranskat)
    Abstract [en]

    Recent advances in embedded systems and underwater communications raised the autonomy levels in unmanned underwater vehicles (UUVs) from human-driven and scripted to adaptive and self-managing. UUVs can execute longer and more challenging missions, and include functionality that enables adaptation to unexpected oceanic or vehicle changes. As such, the simulated UUV exemplar UNDERSEA introduced in our paper facilitates the development, evaluation and comparison of self-adaptation solutions in a new and important application domain. UNDERSEA comes with predefined oceanic surveillance UUV missions, adaptation scenarios, and a reference controller implementation, all of which can easily be extended or replaced.

  • 120.
    Ghazi, Ahmad Nauman
    et al.
    Blekinge Institute of Technology, Sweden.
    Andersson, Jesper
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Torkar, Richard
    Chalmers University of Technology, Sweden.
    Petersen, Kai
    Blekinge Institute of Technology, Sweden.
    Börstler, Jörgen
    Blekinge Institute of Technology, Sweden.
    Information Sources and Their Importance to Prioritize Test Cases in the Heterogeneous Systems Context2014Ingår i: Systems, Software and Services Process Improvement / [ed] Barafort, Béatrix; O'Connor, Rory. V.; Poth, Alexander; Messnarz, Richard, Springer, 2014, Vol. 425, s. 86-98Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Context: Testing techniques proposed in the literature rely on various sources of information for test case selection (e.g., requirements, source code, system structure, etc.). The challenge of test selection is amplified in the context of heterogeneous systems, where it is unknown which information/data sources are most important.

    Contribution: (1) Achieve in-depth understanding of test processes in heterogeneous systems; (2) Elicit information sources for test selection in the context of heterogeneous systems. (3) Capture the relative importance of the identified information sources.

    Method: Case study research is used for the elicitation and understanding of which information sources are relevant for test case privatization, followed by an exploratory survey capturing the relative importance of information sources for testing heterogeneous systems.

    Results: We classified different information sources that play a vital role in the test selection process, and found that their importance differs largely for the different test levels observed in heterogeneous testing. However, overall all sources were considered essential in test selection for heterogeneous systems.

    Conclusion: Heterogeneous system testing requires solutions that take all information sources into account when suggesting test cases for selection. Such approaches need to be developed and compared with existing solutions.

  • 121.
    Gil de la Iglesia, Didac
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    A Formal Approach for Designing Distributed Self-Adaptive Systems2014Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    Engineering contemporary distributed software applications is a challenging task due to the dynamic operating conditions in which these systems have to function. Examples are dynamic availability of resources, errors that are difficult to predict, and changing user requirements. These dynamics can affect a number of quality concerns of a system, such as robustness, openness, and performance. The challenges of engineering software systems with such dynamics have motivated the need for self-adaptation. Self-adaptation is based on the principle of separation of concerns, distinguishing two well defined systems: a managed system that deals with domain specific concerns and a managing system that deals with particular quality concerns of the managed system through adaptation with a feedback loop. State of the art in self- adaptation advocates the use of formal methods to specify and verify the system's behavior in order to provide evidence that the system's goals are satisfied. However, little work has been done on the consolidation of design knowledge to model and verify self-adaptation behaviors.

    To support designers, this thesis contributes with a set of formally specified templates for the specification and verification of self-adaptive behaviors of a family of distributed self-adaptive systems. The templates are based on the MAPE-K reference model (Monitor-Analyze-Plan-Execute plus Knowledge). The templates comprise: (1) behavior specification patterns for modeling the different MAPE components of a feedback loop, and (2) property specification patterns that support verification of the correctness of the adaptation behaviors. The target domain are distributed applications in which self-adaptation is used for managing resources for robustness and openness requirements. The templates are derived from expertise with developing several self-adaptive systems, including a collaborative mobile learning application in which we have applied self-adaptation to make the system robust to degrading GPS accuracy, and a robotic system in which we apply self-adaptation to support different types of openness requirements. We demonstrate the reusability of the templates in a number of case studies. 

  • 122.
    Gil de la Iglesia, Didac
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Sollervall, Håkan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för matematik (MA).
    Zbick, Janosch
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Delgado, Yeray Real
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Mazarico, Carlos Sirvent
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Combining web and mobile technologies to support sustainable activity design in education2015Ingår i: CEUR Workshop Proceedings, Aachen: CEUR-WS.org , 2015, Vol. 1411, s. 1-4Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we describe an approach for designing and developing technological solutions to support teachers in creating their own outdoor teaching activities. We elaborate on one particular case, TriGO, in which primary school students perform outdoor tasks to experience concepts and constructions in the field of mathematics. The application designs and an initial evaluation of the developed technological solutions is provided based on the results obtained from school activities performed with more than 10 teachers and 50 students.

  • 123.
    Gil de la Iglesia, Didac
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    SA-MAS: Self-Adaptation to Enhance Software Qualities in Multi-Agent Systems2013Ingår i: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems (AAMAS 2013) / [ed] Ito, Jonker, Gini, Shehory, The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2013, , s. 2s. 1159-1160Konferensbidrag (Refereegranskat)
    Abstract [en]

    Engineering multi-agent systems (MAS) is known to be a complex task. One of the reasons lays in the complexity to combine multiple concerns that a MAS has to address, such as system functionality, coordination, robustness, etc. A well-recognized approach to manage system complexity is the use of self-adaptation (SA). Self-adaptation extends a system with support to monitor and adapt itself to realize a concern of interest (optimization, fault-tolerance, etc.). We present SA-MAS, an architectural approach that integrates MAS with SA. We present a reference model for SA-MAS and illustrate it with an excerpt from our research.

  • 124.
    Gilson, Fabian
    et al.
    Univ Canterbury, New Zealand.
    Weyns, Danny
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Katholieke Univ Leuven, Belgium.
    When Natural Language Processing Jumps into Collaborative Software Engineering2019Ingår i: 2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C 2019), IEEE, 2019, s. 238-241Konferensbidrag (Refereegranskat)
    Abstract [en]

    Software engineering is an intrinsically collaborative activity, especially in the era of Agile Software Development. Many actors are partaking in development activities, such that a common understanding should be reached at numerous stages during the overall development life-cycle. For a few years now, Natural Language Processing techniques have been employed either to extract key information from free-form text or to generate models from the analysis of text in order to ease the sharing of knowledge across all parties. A significant part of these approaches focuses on retrieving lost domain and architectural knowledge through the analysis of documents, issue management systems or other forms of knowledge management systems. However, these post-processing methods are time-consuming by nature since they require to invest significant resources into the validation of the extracted knowledge. In this paper, inspired by collaborative tools, bots and Natural Language extraction approaches, we envision new ways to collaboratively record and document design decisions as they are discussed. These decisions will be documented as they are taken and, for some of them, static or behavioural models may be generated on-the-fly. Such an interactive process will ensure everyone agrees on critical design aspects of the software. We believe development teams will benefit from this approach because manual encoding of design knowledge will be reduced and will not be pushed to a later stage, when not forgotten.

  • 125.
    Gimenez, Alfredo
    et al.
    University of California, USA.
    Gamblin, Todd
    Lawrence Livermore National Laboratory, USA.
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Bhatele, Abhinav
    Lawrence Livermore National Laboratory, USA.
    Schulz, Martin
    Lawrence Livermore National Laboratory, USA.
    Bremer, Peer-Timo
    Lawrence Livermore National Laboratory, USA.
    Hamann, Bernd
    University of California, USA.
    MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors2018Ingår i: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 24, nr 7, s. 2180-2193Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Memory performance is often a major bottleneck for high-performance computing (HPC) applications. Deepening memory hierarchies, complex memory management, and non-uniform access times have made memory performance behavior difficult to characterize, and users require novel, sophisticated tools to analyze and optimize this aspect of their codes. Existing tools target only specific factors of memory performance, such as hardware layout, allocations, or access instructions. However, today's tools do not suffice to characterize the complex relationships between these factors. Further, they require advanced expertise to be used effectively. We present MemAxes, a tool based on a novel approach for analytic-driven visualization of memory performance data. MemAxes uniquely allows users to analyze the different aspects related to memory performance by providing multiple visual contexts for a centralized dataset. We define mappings of sampled memory access data to new and existing visual metaphors, each of which enabling a user to perform different analysis tasks. We present methods to guide user interaction by scoring subsets of the data based on known performance problems. This scoring is used to provide visual cues and automatically extract clusters of interest. We designed MemAxes in collaboration with experts in HPC and demonstrate its effectiveness in case studies.

  • 126.
    Gkalfas, Christos
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Studying the impact of a mobile application in food waste reduction, circular economy, and social interaction inside the community.2019Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Social and ecological sustainability applications are a significant way to bring equality, equity, and happiness in society. Food waste and food security are two of the most significant problems the people have to tackle the next years. In every country, there are huge problems regarding the food waste which cause serious health problems and pollution not only in the atmosphere but in the subsoil as well. Contrary to that, there is a countless number of people facing food security issues every day across the globe. These problems occurred in Greece as well due to the modern way of living on one hand and the financial crisis on the other. A combination of technological ideas in the economic field of the circular economy could be applied to succeed in sustainable solutions.

    In this thesis, a literature search conducted in order to identify similar problems in Greece. There are very worrying statistics that indicate the massive food waste that is happening in Greek households. Additionally, the literature search for food security and unemployment reveals the significant problem occurred in society as a result of the financial crisis. An additional search in the field of the circular economy reveals excellent solutions in the agricultural machinery sharing and refactoring that could be applied locally, exploiting the existing infrastructure of the community. These solutions help small and young farmers to improve their financial situations. The author is exploring the effects of the financial crisis in the local economy in an effort to apply technological solutions in a form of a mobile application to interconnect people and make the donation, sharing and job search easier for the community. The ultimate goal of this study is to develop an application that could help the community to move towards social and ecological sustainability.

    Even though the ideas applied in this thesis are fresh to the community in the author’s region, the results of this work indicate that there are significant support and willingness to contribute. The development efforts are focusing on a mobile application where its features are focusing on the best possible interconnection among people of the community. Participants believe that the application interconnection along with the features provided, like the food donation, food sales, machinery sharing and job search among people of the community, could bring positive results reducing the food waste, promoting the circular economy, and toning the local economy in general. The data have shown that the author is moving towards the right path in his first attempt to present these ideas to the community in his region. Every participant in this study embraces his efforts finding potential value in the provided features of the application.

  • 127.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Lund University.
    Automatic classification using DDC on the Swedish Union Catalogue2018Ingår i: Proceedings of the 18th European Networked Knowledge Organization Systems (NKOS 2018) Workshop, Porto, Portugal, September 13, 2018 / [ed] Philipp Mayr, Douglas Tudhope, Joseph Busch, Koraljka Golub, Marjorie Hlava & Marcia Zeng, CEUR-WS.org , 2018, s. 4-16Konferensbidrag (Refereegranskat)
    Abstract [en]

    With more and more digital collections of various information re- sources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of two machine learning algorithms for Swe- dish catalogue records from the Swedish union catalogue (LIBRIS). The algo- rithms are tested on the top three hierarchical levels of the DDC. Based on a data set of 143,838 records, evaluation shows that Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Also, using keywords or combining titles and keywords gives better results than using only titles as input. The class imbalance where many DDC classes only have few records greatly affects classification performance: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available. Proposed future research involves an exploration of the intellectual effort put into creating the DDC to further improve the algorithm performance as commonly applied in string matching, and to test the best approach on new digital collections that do not have DDC assigned.

  • 128.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic classification Using DDC on the Swedish Union Catalogue2019Ingår i: European DDC Users Group, EDUG, Annual Meeting 9-10 May 2019: National Library of Sweden, Stockholm, Sweden, 2019Konferensbidrag (Övrigt vetenskapligt)
  • 129.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic subject classification of Swedish DDC: Impact of tuning and training data set2019Ingår i: 19th European NKOS Workshop, 23rd TPDL: Oslo, 12 September 2019, Networked Knowledge Organization Systems/Services/Structures, NKOS , 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    The presentation builds on the NKOS 2018 presentation of automatically produced Dewey Decimal Classification (DDC) classes for Swedish union catalogue (LIBRIS). Based on a dataset of 143,838 records, Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Impact of features shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. Word embeddings combined with different types of neural networks (Simple linear network, Standard neural network, 1D convolutional neural network, Recurrent neural network) produced worse results than Naïve Bayes /Support Vector Machine, but reach close results. The greatest impact is produced by the number of training examples: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available.

  • 130.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hansson, Joacim
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för medieteknik (ME).
    LNU as a Unique iSchool2016Övrigt (Övrigt vetenskapligt)
  • 131.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Herault, Romain Christian
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lundman, Madeleine
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Increasing visibility of culture through online information services: The case of Småland2019Ingår i: Presented at iConference 2019: Inform, include, inspire. March 31 - April 3, Maryland, USA, 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Cultural events are of increasing importance as value creators in our society. They can serve to promote the attractiveness of a region, to increase social interactions and the quality of life and, not the least, to boost local economies. Today, a comprehensive and up-to-date online overview of cultural events in Småland, a region in southeastern Sweden, is missing mainly due the fact that information is distributed across different actors, communication channels and different media (e.g. individual organizers, commercial vendors, community calendars, newspapers calendars).

    The ultimate purpose of our research is to significantly increase access to information and awareness of cultural attractiveness in Småland using innovative web technologies, both for its inhabitants as well as tourists. Reporting on the first stage of the project, this paper focuses on the exploration of requirements to design a mobile application and a website.

    First guidelines for the design of web and mobile interfaces have been in existence since the early 2000s (Weiss, 2003) and have been updated accordingly to reflect the evolution of technology and the evolution of web and mobile applications. In order to get users to use the application or website, they need to be simple, easy to understand, and present meaningful information to the user (Rubino et al., 2014).

    Functionalities for a cultural event app and/or website include those referring to general ones pertinent to any user-friendly app and specific ones related to information on cultural events. General major functionalities identified in the literature include:

    • Clear and concise way of displaying the content (Boiano et al., 2012);

    • Interactive and quick responding interfaces (ibid.);

    • An interface which is easy to understand with few controls (Gena et al., 2013);

    • The ability to share information, write reviews and connect, which in turn will make the application more visible for the general public (ibid.); and,

    • Utilising user-generated content (ratings, tags, comments, and so on) as a source of information about a user, and for adaptation and recommendation purposes (ibid.).

    Our methodological approach involved three major steps. First, an interview with cultural events providers, using contemporary art as a use case, was conducted in order to identify initial needs and requirements for building the two types of interfaces. The interviews were conducted with two representatives of a governmental institution promoting contemporary art in the region, called Nya Småland (in English New Småland, http://www.nyasmaland.se/9/). After the first round of interviews, initial mock-ups of the interfaces were built, followed by another round of interviews to gain insights and feedback on those designs. Themes in the interviews focused on requirements, functionalities, cultural event providers in the different regions and user groups. The interviewees said that it is generally important to make contemporary art galleries and their activities visible to a wider audience through a good-quality app and a web site. It is often hard to reach the public with cultural events; one reason could be lack of money for advertising. The information gathered from the interviews was then used when creating a new round of refined mock-ups.

    In conclusion, the interviewees consider a quality app and a website for cultural events on contemporary art an important way in which to increase visibility of cultural events in the region and beyond. In addition, preserving information about past events for future uses is considered important, especially for journalists, politicians and journalists. Future research efforts will focus on developing an interactive prototype and gain feedback from content providers and a range of potential end user groups.

  • 132.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Lundman, Madeleine
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Herault, Romain Christian
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Increasing visibility of culture through online information services: The case of Småland2019Ingår i: BOBCATSSS 2019: The 27th symposium, 22-24 January 2019, Osijek, Croatia, Tampere: European Association for Library and Information Education and Research , 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Cultural events are of increasing importance as value creators in our society. They can serve to promote the attractiveness of a region, to increase social interactions and the quality of life and, not the least, to boost local economies. The ultimate purpose of our research is to significantly increase awareness of cultural attractiveness in Småland using innovative web technologies, both for its inhabitants as well as tourists. Reporting on the first stage of the project, this paper focuses on the exploration of requirements to design a mobile application and a website of cultural events in the region with contemporary art as a use case. 

    Our methodological approach involved three major steps. First, interviews with cultural event providers, with focus on contemporary art, were conducted in order to identify initial needs and requirements for building the two types of interfaces.The interviews were conducted with two representatives of a governmental institution promoting contemporary art in the region, called Nya Småland (in English New Småland, http://www.nyasmaland.se/9/). After the first round of interviews, initial mock-ups of the interfaces were built, followed by another round of interviews to gain insights and feedback on those designs. Themes in the interviews addressed requirements and functionalities, both from perspectives of cultural event providers as well as those of user groups. The interviewees agreed that it is generally important to make contemporary art galleries and their activities visible to a wider audience through a good-quality app and a web site. It is often hard to reach the public with cultural events; one reason could be lack of money for advertising. 

    In conclusion, the interviewees consider a quality app and a website for cultural events on contemporary art an important way in which to increase visibility of cultural events in the region and beyond. In addition, preserving information about past events for future uses is considered important, especially for journalists and politicians. Future research efforts will focus on developing an interactive prototype and acquiring feedback from content providers and a range of potential end user groups.

  • 133.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Digital Humanities as a Cross-Sector and Cross-Discipline Initiative: Prospects in the Linnaeus University Region2016Ingår i: The 3rd International Conference on Behavioral, Economic, and Socio-Cultural Computing Duke University, Durham, NC, USA, 11-13 November, 2016 (BESC 2016), IEEE conference proceedings, 2016, s. 136-137Konferensbidrag (Refereegranskat)
    Abstract [en]

    This position paper presents and analyses thecross-sector and cross-disciplinary Digital Humanities Initiativeat Linnaeus University along the axes of its strengths,weaknesses, opportunities and threats. Our long-term vision is tocreate a leading education in this field and to establish a leadingresearch regional centre that combines in novel ways alreadyexisting expertise from different departments and facultiesworking in close collaboration and co-creation with people anddifferent organizations (both public and private sector) from thesurrounding society.

  • 134.
    Green, Rebecka
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Instruktionsfilm i undervisning: Utformningen av en mall för ett grafiskt användargränssnitt2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Instruktionsfilmer är ett vanligt inslag i undervisningen. Somliga instruktionsfilmsproducenter gör en enkel skärminspelning medan andra lägger till grafiska element för att locka användarnas uppmärksamhet till specifika delar av skärmen. Idag saknas riktlinjer över hur en instruktionsfilm bör presenteras. Riktlinjer hade inte bara hjälpt videoproducenterna utan ännu viktigare, användarna.

    I denna studie analyserades två plattformar som använder instruktionsfilmer, LinkedIn Learning och SkillShare. Dessa analyserades för att samla in krav som tillsammans med en litteraturstudie låg till grund för den kravspecifikation som användes till utformningen av prototypen. Med hjälp av A/B-testning testades sedan prototypen på 14 studenter och granskades av en expert inom området människa-datorinteraktion (HCI). 

    Resultaten indikerar att grafiska element är en viktig del i instruktionsfilmer, detta då de hjälper användarna att fokusera på viktiga och relevanta element som instruktören nämner. Ett resultat från studien är en lista över instruktionsfilmsrekommendationer. 

  • 135.
    Griffith, Ioseff
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Procedural Narrative Generation Through Emotionally Interesting Non-Player Characters2018Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Procedural content generation is a technique used to produce a wide range of computer-generated content in many industries today, the video game industry in particular. This study focuses on how procedural content generation can be applied to create emotionally interesting non-player characters and through this, generate narrative snippets that can immerse and interest a reader. The main points examined are how to achieve this using a modular approach to personality and behaviour, how well readers can distinguish whether motivations and interactions are generated by a computer or written by a human, and to what degree a reader can be immersed in a computer-generated narrative. Procedural narrative could help to reduce workload on large projects or lower costs, and is an area in which there is much room for further research. To answer these problems, a literature review of existing techniques for the creation of emotionally interesting non-player characters was conducted and used to design and construct a prototype implementation for generating procedural narrative. The output of this narrative was dressed up to match the style of a human text and A/B testing was conducted utilising a survey in order to evaluate and compare responses to the two texts. Ultimately, the results showed very little difference between the perception of the human-written text and the computer-written text, with the only aspects found lacking in the computer-written text being clarity of emotion and foreshadowing.

  • 136.
    Grzonka, Daniel
    et al.
    Cracow University of Technology, Poland.
    Jakobik, Agnieszka
    Cracow University of Technology, Poland.
    Kołodziej, Joanna
    Research and Academic Computer Network (NASK), Poland.
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Using a Multi-Agent System and Artificial Intelligence for Monitoring and Improving the Cloud Performance and Security2018Ingår i: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 86, s. 1106-1117Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Cloud Computing is one of the most intensively developed solutions  for large-scale distributed processing. Effective use of such environments, management of their high complexity and ensuring appropriate levels of Quality of Service (QoS) require advanced monitoring systems. Such monitoring systems have to support the scalability, adaptability and reliability of Cloud. Most of existing monitoring systems  do not incorporate any Artificial  Intelligence (AI) algorithms for supporting the change inside the task stream or environment itself. They  focus  only on monitoring or enabling the control of the system as a part of a separated service. An effective monitoring system for the Cloud environment should gather information about all stages of tasks processing and should actively control the monitored environment. In this paper, we present a novel Multi-Agent System based Cloud Monitoring (MAS-CM) model that supports the performance and security of tasks gathering, scheduling and execution processes in large-scale service-oriented environments. Such models are explicitly designed to control the performance and security objectives of the environment. In our work, we focus on prevention of unauthorized task injection and modification, optimization of scheduling process and maximization of resource usage.We evaluate the effectiveness of MAS-CM empirically using an evolutionary driven implementation of Independent Batch Scheduler and FastFlow framework. The obtained results demonstrate the effectiveness of the proposed approach and the performance improvement.

  • 137.
    Gudmundsson, Johan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Menkes, Francis
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Swedish Natural Language Processing with Long Short-term Memory Neural Networks: A Machine Learning-powered Grammar and Spell-checker for the Swedish Language2018Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Natural Language Processing (NLP) is a field studying computer processing of human language. Recently, neural network language models, a subset of machine learning, have been used to great effect in this field. However, research remains focused on the English language, with few implementations in other languages of the world. This work focuses on how NLP techniques can be used for the task of grammar and spelling correction in the Swedish language, in order to investigate how language models can be applied to non-English languages. We use a controlled experiment to find the hyperparameters most suitable for grammar and spelling correction on the Göteborgs-Posten corpus, using a Long Short-term Memory Recurrent Neural Network. We present promising results for Swedish-specific grammar correction tasks using this kind of neural network; specifically, our network has a high accuracy in completing these tasks, though the accuracy achieved for language-independent typos remains low.

  • 138.
    Gunnarsson, Adam
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Real time object detection on a Raspberry Pi2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    With the recent advancement of deep learning, the performance of object detection techniques has greatly increased in both speed and accuracy. This has made it possible to run highly accurate object detection with real time speed on modern desktop computer systems. Recently, there has been a growing interest in developing smaller and faster deep neural network architectures suited for embedded devices. This thesis explores the suitability of running object detection on the Raspberry Pi 3, a popular embedded computer board. Two controlled experiments are conducted where two state of the art object detection models SSD and YOLO are tested in how they perform in accuracy and speed. The results show that the SSD model slightly outperforms YOLO in both speed and accuracy, but with the low processing power that the current generation of Raspberry Pi has to offer, none of the two performs well enough to be viable in applications where high speed is necessary.

  • 139.
    Gusinja, Bjeshka
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för medieteknik (ME).
    Analyzing and controlling food waste inside supermarkets.Evaluation of implemented prototype to connect supermarkets with charities. Case study: Kosovo’s supermarkets2018Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Food waste is considered to be a big problem worldwide. Different research projects have been done within this area in order to find ways that can help reduce this problem. This thesis addresses the problem of food waste in the supermarkets of Kosovo, by identifying the amounts of food waste in 3 supermarkets of this region. In addition, it explores the possibility of connection between supermarkets and charity organizations by using a developed prototype that corresponds to the field of web technologies. The prototype is implemented based on the feedback of supermarket workers. Interviews with open-ended questions were realized with supermarket workers and charity organization workers in order to identify the best medium that can be used to connect them. The prototype is realized using Wordpress, and evaluated first using the SUS questionnaire. Furthermore, it is also evaluated by performing usability test with supermarket and charity organization workers. The participants were asked to perform different tasks during the evaluation. The study shows that the use of the developed prototype reduces the amount of food waste in supermarkets. Furthermore, it successfully connects charity organizations with supermarkets. In addition, it provides a new way of controlling expiry dates of items resulting in reduction of waste inside supermarkets.

  • 140.
    Gustafsson, Marcus
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Sentiment Analysis for Tweets in Swedish: Using a sentiment lexicon with syntactic rules2020Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Sentiment Analysis refers to the extraction of opinion and emotion from data. In its simplest form, an application estimates a sentence and labels it with a positive or negative sentiment score. One way of doing this is through a lexicon of sentiment-laden words, each annotated with its respective polarity. Tweets are a specific kind of data that has spurred interest in researchers, since they tend to carry opinions on various topics, such as political parties, stocks or commercial brands. Tools and libraries have been developed for analyzing the sentiment of tweets and other kinds of data, but mainly for the English language. This report investigates ways of efficiently analyzing the sentiment of tweets written in Swedish. A sentiment lexicon translated from English to Swedish, together with different combinations of syntax rules, is tested on a labeled set of tweets. Machine-translating a lexicon did not provide a fully satisfying result for sentiment analysis in Swedish. However, the resulting model could be used as a base for constructing a more successful tool.

  • 141.
    Hafizovic, Nedzad
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). Linneuniversitetet.
    Candidate - job recommendation system: Building a prototype of a machine learning – based recommendation system for an online recruitment company2019Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Recommendation systems are gaining more popularity because of the complexity of problems that they provide a solution to. There are many applications of recommendation systems everywhere around us. Implementation of these systems differs and there are two approaches that are most distinguished. First approach is a system without Machine Learning, while the other one includes Machine Learning. The second approach, used in this project, is based on Machine Learning collaborative filtering techniques. These techniques include numerous algorithms and data processing methods. This document describes a process that focuses on building a job recommendation system for a recruitment industry, starting from data acquisition to the final result. Data used in the project is collected from the Pitchler AB company, which provides an online recruitment platform. Result of this project is a machine learning based recommendation system used as an engine for the Pitchler AB IT recruitment platform.

  • 142.
    Hagelbäck, Johan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Liapota, Pavlo
    Lincke, Alisa
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    THE PERFORMANCE OF SOME MACHINE LEARNING APPROACHES IN HUMAN MOVEMENT ASSESSMENT2019Ingår i: 13th Multi Conference on Computer Science and Information Systems (MCCSIS) / [ed] Mário Macedo, Porto, Portugal, 2019, s. 35-42Konferensbidrag (Refereegranskat)
    Abstract [en]

    The advent of commodity 3D sensor technology enabled, amongst other things, the efficient and effective assessment of human movements. Statistical and machine learning approaches map recorded movement instances to expert scores to train models for the automated assessment of new movements. However, there are many variations in selecting the approaches and setting the parameters for achieving high performance, i.e., high accuracy and low response time. The present paper researches the design space and the impact of approaches of statistical and machine learning on accuracy and response time in human movement assessment. Results show that a random forest regression approach outperforms linear regression, support vector regression and neuronal network approaches. Since the results do not rely on the movement specifics, they can help improving the performance of automated human movement assessment, in general.

  • 143.
    Hagelbäck, Johan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Liapota, Pavlo
    Softwerk AB.
    Lincke, Alisa
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Variants of Dynamic Time Warping and their Performance in Human Movement Assessment2019Ingår i: 21st International Conference on Artificial Intelligence (ICAI'19: July 29 - August 1, 2019, las Vegas, USA), CSREA Press, 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    The advent of commodity 3D sensor technology enabled, amongst other things, the efficient and effective assessment of human movements. Statistical and machine learning approaches map recorded movement instances to expert scores to train models for the automated assessment of new movements. However, there are many variations in selecting the approaches and setting the parameters for achieving good performance, i.e., high scoring accuracy and low response time. The present paper researches the design space and the impact of sequence alignment on accuracy and response time. More specifically, we introduce variants of Dynamic Time Warping (DTW) for aligning the phases of slow and fast movement instances and assess their effect on the scoring accuracy and response time. Results show that an automated stripping of leading and trailing frames not belonging to the movement (using one DTW variant) followed by an alignment of selected frames in the movements (based on another DTW variant) outperforms the original DTW and other suggested variants thereof. Since these results are independent of the selected learning approach and do not rely on the movement specifics, the results can help improving the performance of automated human movement assessment, in general.

  • 144.
    Hagelbäck, Johan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lincke, Alisa
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Rall, Eduard
    AIMO AB.
    On the Agreement of Commodity 3D Cameras2019Ingår i: 23rd International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'19: July 29 - August 1, 2019, USA), CSREA Press, 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    The advent of commodity 3D sensor technol- ogy has, amongst other things, enabled the efficient and effective assessment of human movements. Machine learning approaches do not rely manual definitions of gold standards for each new movement. However, to train models for the automated assessments of a new movement they still need a lot of data that map recorded movements to expert judg- ments. As camera technology changes, this training needs to be repeated if a new camera does not agree with the old one. The present paper presents an inexpensive method to check the agreement of cameras, which, in turn, would allow for a safe reuse of trained models regardless of the cameras. We apply the method to the Kinect, Astra Mini, and Real Sense cameras. The results show that these cameras do not agree and that the models cannot be reused without an unacceptable decay in accuracy. However, the suggested method works independent of movements and cameras and could potentially save effort when integrating new cameras in an existing assessment environment.

  • 145.
    Hallink, Robert Willem
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    The Application of Design Principles on Fast-Action Puzzle Games: A study on how the use of design principles affect how players perform in Fast-Action Puzzle Games2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    This thesis studies a few established design principles which were implemented in a developed fast-action puzzle game prototype. The aim was to study how several design principles affected the performance of players.

    The prototype was described as a Time-Based Memory Mashup with six different ”presets” based on the established design principles in which small changes occur.

    All participants in the study played through all six presets. Gameplay data was gathered from the participating users and were automatically recorded into a database in order to determine which preset was the most successful.

    Participants also filled in a survey to answer questions regarding on how they would judge their own performance, engagement and enjoyment of each played preset.

    Collected gameplay data from the participants were compared and ranked to determine which presets and design principles were the most effective. Surveys, observations and interviews have been studied to see if it matched the statistical data.

    Participants had higher performances with a fixed or more forgiving timer, which participants preferred the most. Downgraded graphics and sound were enjoyed the least, however did not led to much worse performances. An increased difficulty had the most effect in lowering performances.

    Design principles such as Pacing, Difficulty, Feedback, Interface Design and Foreground had the most potential to lower performances among participants.

  • 146.
    Hasangjekaj, Rilind
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Karlsson, Sandra
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    A reusable framework to accelerate the development of visual analytics applications based on dimensionality reduction2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    To be able to visualize and analyze multidimensional data sets, the dimensions have to be reduced to two or three, by using dimensionality reducing (DR) methods. The problem is that there is no established foundation for building applications to handle data sets, DR and visualization and therefore the process of doing so is not as efficient as it could be. This thesis suggests a framework as a solution to the problem, and covers the implementation of such a framework. The framework is used to create a prototype application to ensure that it is useful in such a scenario. For further evaluation, a domain expert tested the framework by following the associated instructions, and answered a questionnaire. The answers were positive and contained comments that were used to improve the instructions, and suggestions on how to improve the framework in the future.

  • 147.
    Heberle, Andreas
    et al.
    Karlsruhe University of Applied Sciences, Germany.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). Softwerk AB, Växjö.
    Gustafsson, Anders
    Södra Skog, Växjö.
    Vorrei, Orjan
    Södra Skog, Växjö.
    Digitalization Canvas - Towards Identifying Digitalization Use Cases and Projects2017Ingår i: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, nr 11, s. 1070-1097Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Nowadays, many companies are running digitalization initiatives or are planning to do so. There exist various models to evaluate the digitalization potential of a company and to define the maturity level of a company in exploiting digitalization technologies summarized under buzzwords such as Big Data, Artificial Intelligence (AI), Deep Learning, and the Industrial Internet of Things (IIoT). While platforms, protocols, patterns, technical implementations, and standards are in place to adopt these technologies, small-to mediumsized enterprises (SME) still struggle with digitalization. This is because it is hard to identify the most beneficial projects with manageable cost, limited resources and restricted know-how. In the present paper, we describe a real-life project where digitalization use cases have been identified, evaluated, and prioritized with respect to benefits and costs. This effort led to a portfolio of projects, some with quick and easy wins and some others with mid-to long-term benefits. From our experiences, we extracted a general approach that could be useful for other SMEs to identify concrete digitalization activities and to define projects implementing their digital transformation. The results are summarized in a Digitalization Canvas.

  • 148.
    Hedenborg, Mathias
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Lundberg, Jonas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Trapp, Martin
    Senacor Technologies AG, Germany.
    Approximating Context-Sensitive Program Information2015Ingår i: Proceedings Kolloquium Programmiersprachen (KPS 2015) / [ed] Jens Knoop, 2015Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Static program analysis is in general more precise if it is sensitive to execution contexts (execution paths). In this paper we propose χ-terms as a mean to capture and manipulate context-sensitive program information in a data-flow analysis. We introduce finite k-approximation and loop approximation that limit the size of the context-sensitive information. These approximated χ-terms form a lattice with a finite depth, thus guaranteeing every data-flow analysis to reach a fixed point. 

  • 149.
    Hedin, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    CRAMO: Continuously Rendered Aerial Maps with Open Data2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    One issue with a lot of the free aerial satellite maps that exists is the actuality of the acquired images in terms of the acquisition date. A lot of times the images are a few years old and will not represent the current reality. This project will try and mitigate this by using free open data from the Copernicus directive supplied by the European Space Agency ESA and use that to create maps. By doing this the ability to have daily updated aerial satellite maps occurs and that could be really interesting for scientific and commercial purposes. To make this work an automated process was created that downloaded the images from Copernicus and processed them with GDAL to create the maps. The process deals with the issues of mosaicing, reprojection and unattended downloads amongst other things. In the results, there is a comparison between three different maps to give a comparison and an idea of how big of a map the process can handle in a reasonable time. 

  • 150.
    Herault, Romain Christian
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Lincke, Alisa
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Milrad, Marcelo
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Forsgärde, Elin-Sofie
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV).
    Elmqvist, Carina
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV).
    Using 360-degrees interactive videos inpatient trauma treatment education: design, development and evaluationaspects2018Ingår i: Smart Learning Environments, E-ISSN 2196-7091, Vol. 5, artikel-id 26Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Extremely catastrophic situations are rare in Sweden, which makes training opportunities important to ensure competence among emergency personnel who should be actively involved during such situations. There is a requirement to conceptualize, design, and implement an interactive learning environment that allows the education, training and assessment of these catastrophic situations more often, and in different environments, conditions and places. Therefore, to address these challenges, a prototype system has been designed and developed, containing immersive, interactive 360-degrees videos that are available via a web browser. The content of these videos includes situations such as simulated learning scenes of a trauma team working at the hospital emergency department. Various forms of interactive mechanisms are integrated within the videos, to which learners should respond and act upon. The prototype was tested during the fall term of 2017 with 17 students (working in groups), from a specialist nursing program, and four experts. The video recordings of these study sessions were analyzed and the outcomes are presented in this paper. Different group interaction patterns with the proposed tool were identified. Furthermore, new requirements for refining the 360-degrees interactive video, and the technical challenges associated with the production of this content, have been found during the study. The results of our evaluation indicate that the system can provide the students with novel interaction mechanisms, to improve their skills, and it can be used as a complementary tool for the teaching and learning methods currently used in their education process.

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