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  • 1.
    Arvidsson, Åke
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Westberg, Lars
    Kungliga tekniska högskolan.
    Fast transport for edge computing in 5G networks2018In: Proceedings of 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) / [ed] Dinko Begušić, Nikola Rožić, Joško Radić, and Matko Šarić, New York: IEEE Communications Society, 2018, p. 41-45Conference paper (Refereed)
    Abstract [en]

    We consider TCP performance for cloud servicesin 5G cellular networks and show that edge clouds offer the highest throughput, but that further improvements still arepossible. To this end we devise a concept where edge clouds connected directly to the radio access network can increase their transmission rates by relying on the built in re-transmissions (through quality of service features) and on the built in userfairness (through per-user buffers and scheduler policies). We use numerical examples from measurements in real networks to demonstrate that the concept is efficient and significantly improves the effective throughput beyond what placement alone can do, and we also outline possible further improvements.

  • 2.
    Arvidsson, Åke
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Westberg, Lars
    Kungliga Tekniska Högskolan.
    Transport bottlenecks of edge computing in 5G networks2019In: Journal of Communication Software and Systems, ISSN 1845-6421, E-ISSN 1846-6079, Vol. 15, no 1, p. 59-65Article in journal (Refereed)
    Abstract [en]

    We consider bottlenecks of TCP throughput in scenarios with edge clouds and 5G cellular networks. By numerical examples from measurements in real networks, we show that edge clouds indeed improve throughput but that several, nonnegligible bottlenecks remain. We therefore devise a concept where edge clouds connected directly to the radio access networkcan increase their transmission rates by relying on built in retransmissions (through quality of service features) and on the built in user fairness (through per-user buffers and scheduler policies). We then return to the numerical examples and show that our solution provides substantial gains and we concludeby identifying and discussing the remaining bottlenecks and the potential of an improved protocol.

  • 3.
    Chen, Eric Zhi
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Some new binary codes with improved minimum distances2018In: Journal of Algebra Combinatorics Discrete Structures and Applications, ISSN 2148-838X, Vol. 5, no 2, p. 65-70Article in journal (Refereed)
    Abstract [en]

    It has been well-known that the class of quasi-cyclic (QC) codes contain many good codes. In thispaper, a method to conduct a computer search for binary 2-generator QC codes is presented, anda large number of good 2-generator QC codes have been obtained. 5 new binary QC codes thatimprove the lower bounds on minimum distance are presented. Furthermore, with new 2-generatorQC codes and Construction X, 2 new improved binary linear codes are obtained. With the standardconstruction techniques, another 16 new binary linear codes that improve the lower bound on theminimum distance have also been obtained.

  • 4.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    A communication framework in a multi-threaded environment2000In: Proceedings of NWPER'2000, 2000Conference paper (Other academic)
  • 5.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Active vs passive entities2002Conference paper (Other academic)
  • 6.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Aspects of transparent time concepts2000Conference paper (Other academic)
  • 7.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Aspects on communication and models vs processes in a model oriented language1997In: Proceedings of the 23rd conference of the ASU, 1997Conference paper (Other academic)
  • 8.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    CDIO, en introduktion: diskussioner kring ett ramverk för verksamhetsintegrerat lärande2015In: Högskolepedagogisk debatt, no 2, p. 87-112Article in journal (Other academic)
  • 9.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Communication and hierarchical modelling in Model Oriented Programming1999In: Proceedings of the 25th conference of the ASU, 1999Conference paper (Other academic)
  • 10.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Discussion on "An exercise for SIMULA users"1997In: ASU Newsletter, Vol. 24, no 1, p. 1-9Article in journal (Other academic)
  • 11.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Inheritance and coroutines1998In: ASU Newsletter, Vol. 24, no 3Article in journal (Other academic)
  • 12.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Model Oriented Programming: progress in concepts and implementation issues1998In: Proceedings of the 24th conference of the ASU, 1998Conference paper (Other academic)
  • 13.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    On bounds between time flow of hierarchically organized bases of time2003Conference paper (Other academic)
  • 14.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    On transparent distributed systems2001In: Proceedings of the 27th conference of the ASU, 2001Conference paper (Other academic)
  • 15.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Passing control over nested quasi-parallel systems1997In: ASU Newsletter, Vol. 24, no 1, p. 1-9Article in journal (Other academic)
  • 16.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Separately compiled nested classes1999In: ASU Newsletter, Vol. 25, no 2Article in journal (Other academic)
  • 17.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    The goals of graduate studies and the process of getting there2015Conference paper (Other academic)
  • 18.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Towards consistent concepts of hierarchical modeling2003Conference paper (Other academic)
  • 19.
    Einarson, Daniel
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Saplacan, Diana
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Addressing integrated learning through project-based courses: five years of improvements2017In: Proceedings of the 13th International CDIO Conference in Calgary, Canada, June 18-22 2017, 2017Conference paper (Other academic)
    Abstract [en]

    Project-based educational forms are at the core of the CDIO concept, where students should be trained in contexts of complex enough tasks to prepare for the complexity of industry projects. Besides from fulfilling a project in itself, CDIO points out the importance of achieving integrated learning skills, including personal and interpersonal skills (CDIO Syllabus sections 2 and 3), where those are desired to meet the challenges of the working processes.

    Projects in education moreover correspond to active learning, where students are encouraged to learn through solving the problems required to fulfill the goals of a project. Being active in the process of completing a project, does not only imply disciplinary training, but also training in achieving generic skills, such as experimentation, knowledge discovery, system thinking, teamwork, and communication. All in all, a conclusion is that student activities in project-based teaching and learning relate to all four sections of the CDIO Syllabus, and hence active learning will here contribute to integrated learning. Thus, activating students in project-based courses should have several positive values.

    However, experiences show that one problem in project-based courses is that of activating a major part of a student group. Here, a common pattern is that some students are not contributing enough, resulting in other students covering up for them, or risking the whole project. Therefore, teaching efforts should be put on finding ways to widen the group of active students.

    The project-based course Software Engineering 2, at Kristianstad University, Sweden, has undergone several years of improvements in order to, on one hand reduce the number of passive students, and on the other hand increase values of generic skills from the CDIO Syllabus. This paper will present development steps of that course. Methods, where some have been inspired from the Software Engineering industry, will be covered, and results of using those will be provided. A major result is that of increasing values of integrated learning, where this in itself contributes to the core of CDIO.

  • 20.
    Einarson, Daniel
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Wiklund, Peter
    Digitala stöd för mental hälsa2018Other (Other (popular science, discussion, etc.))
  • 21.
    Forsman, Robin
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Jönsson, Jimmy
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Artificial intelligence and Machine learning: a diabetic readmission study2019Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The maturing of Artificial intelligence provides great opportunities for healthcare, but also comes with new challenges. For Artificial intelligence to be adequate a comprehensive analysis of the data is necessary along with testing the data in multiple algorithms to determine which algorithm is appropriate to use. In this study collection of data has been gathered that consists of patients who have either been readmitted or not readmitted to hospital within 30-days after being admitted. The data has then been analyzed and compared in different algorithms to determine the most appropriate algorithm to use.

  • 22.
    Jovanovic, Aleksandar
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Vu, Cong
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Triggningskriterier i triggningsmodul för trådlösa dataloggern DL141E2018Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    With the data logger DL141E it’s possible to continuously log measurement data from sensors up to 30k samples per second, and then transferring them to a mobile phone with Bluetooth technology. But this is by far too much sample data in a small time for a mobile phone with technical limitations to receive. That’s why only relevant measurement data should be mass logged to reduce the unnecessary data amount. Int his study a new approach is proposed where a specific and smaller amount of discrete pre-samples are logged in sequence. Every set of pre-samples is processed by comparing them to the user pre-defined trigger criterias. Met criterias will trigger logging of a massive set of samples on basis of only interesting signal deviations. The following trigger criterias are used: a specific signal level to cross, a specific signal direction, and both of these in combination with an amount of consecutive samples. The study provides an examination on how the signal processing method ”Lebesgue sampling” can be applied with the above criterias to achieve a god accuracy with reasonable processing time on mobile phones. This is observed using sensors with the most common signal types ramp and pulse in an environment where small noises and transients occur. The accuracy and the processing load are taken into account when estimating the efficiency of Lebesgue method and when estimating how many pre-samples per set might be sufficient. The implementation is written in Java Android platform and then integrated into a digital triggering module with Graphical User Interface (GUI).

  • 23.
    Lindberg, Ulla
    et al.
    SP Sveriges Tekniska Forskningsinstitut.
    Einarson, Daniel
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Kristianstad University, Faculty of Natural Science, Research environment of Computer science (RECS).
    Wählby, Urban
    Electrolux.
    Platbardis, Janis
    SensiNet.
    Glasö, Sissi
    Thermo King.
    Bäckström, Kristin
    SP Sveriges Tekniska Forskningsinstitut.
    Wendin, Karin
    SP Sveriges Tekniska Forskningsinstitut.
    Aktivt Åldrande – individuellt anpassade måltidslösningar för hälsa och livskvalitet hos äldre: beställning och distribution av mat för den äldre2015Report (Other academic)
    Abstract [en]

    ”Active Ageing – Personalised food and meal solutions for health and quality of life” (Aktivt åldrande – individuellt anpassade måltidslösningar för hälsa och livskvalitet hos äldre. Diarienr 2013-02780) is a project that aims to maintain the quality of life and autonomy of older persons, through individual and personalised meal solutions that fit their needs and requirements. The target group are primarily the age 75 or older. Five work packages are included in the project. This report describes the work package that had the scope of developing a concept for the ordering, distribution and delivery of meal to the elderly. Refrigeration technology and the cold-chain will play an important role in the concept by preserving the safety and quality of foods during its transportation to the elderly. Refrigeration technology and the cold-chain will also make it possible to prepare specific types of foods that meet the demand of the elderly. In particular for the elderly consumers that would like to eat at home and decrease their independency and overall quality of life. It is also important the value chain and concept for the business model must be flexible and taking into account needs from the elderly consumers at all stages, starting from ordering the meal, handling in the household and disposing of the packaging material. An interdisciplinary approach – combining knowledge of ICT (information and communications technology) – Technology, food quality, packaging, logistic, sensory, and waste/return systems for the food that is distributed is increasingly necessary. As the demand for food for the elderly is on the rise, the development of new products, models and services might be facilitated by collaborating with SMEs (micro, small and mediumsized enterprises) and other business partners interested in delivering solutions for the elderly consumers. The concept for the ordering, distribution and delivery of meal to the elderly developed in the project can be used by other end users and/or for other products and services.

  • 24.
    Teljega, Marijana
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Automatic Control of a Window Blind using EEG signals2018Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This thesis uses one of Brain Computer Interface (BCI) products, NeuroSky headset, to design a prototype model to control window blind by using headset’s single channel electrode. Seven volunteers performed eight different exercises while the signal from the headset was recorded. The dataset was analyzed, and exercises with strongest power spectral density (PSD) were chosen to continue to work with. Matlabs spectrogram function was used to divide the signal in time segments, which were 0.25 seconds. One segment from each of these eight exercises was taken to form different combinations which were later classified.The classification result, while using two of proposed exercises (tasks) was successful with 97.0% accuracy computed by Nearest Neighbor classifier. Still, we continued to investigate if we could use three or four thoughts to create three or four commands. The result presented lower classification accuracy when using either 3 or 4 command thoughts with performance accuracy of 92% and 76% respectively.Thus, two or three exercises can be used for constructing two or three different commands.

  • 25. Van der Mei, Rob
    et al.
    Van den Berg, Hans
    Ganchev, Ivan
    Tutschku, Kurt
    Leitner, Philipp
    Lassila, Pasi
    Burakowski, Wojciech
    Liberal, Fidel
    Arvidsson, Åke
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. Peter Key.
    Hoβfeld, Tobias
    Wac, Katarzyna
    Melvin, Hugh
    Galinac Grbac, Tihana
    Yoram, Haddad
    Key, Peter
    State of the art and research challenges in the area of autonomous control for a reliable internet of services2018In: Autonomous control for a reliable internet of services: methods, models, approaches, techniques, algorithms, and tools / [ed] Ivan Ganchev, R. D. van der Mei, Hans van den Berg, Springer Open , 2018, p. 1-22Chapter in book (Other academic)
    Abstract [en]

    The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like service-oriented architecture (SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring quality and reliability of these services. The goal of this book chapter is to first analyze the state-of-the-art in the area of autonomous control for a reliable IoS and then to identify the main research challenges within it. A general background and high-level description of the current state of knowledge is presented. Then, for each of the three subareas, namely the autonomous management and real-time control, methods and tools for monitoring and service prediction, and smart pricing and competition in multi-domain systems, a brief general introduction and background are presented, and a list of key research challenges is formulated.

  • 26.
    Wang, Qinghua
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Lightweight session: key establishment for the internet of things2018Conference paper (Refereed)
  • 27.
    Wang, Qinghua
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Huang, Xin
    England.
    Mengistu, Dawit
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap. dawit.mengistu@hkr.se .
    Session key agreement for end-to-end security in time-synchronized networks2018Conference paper (Other academic)
  • 28.
    Zhou, Xujia
    et al.
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Flora, Eduardo
    Kristianstad University, Faculty of Natural Science, Avdelningen för datavetenskap.
    Comparison of Performance and Power Consumption Between GPS and Sigfox Positioning Using Pycom Modules2018Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Sigfox is one of the newly-emerging LPWAN (Low Power Wide Area Network) technologies aiming to provide power-efficient solutions to the world of IoT. This study presents a comparison between Sigfox Geolocation and GPS (Global Positioning System) in terms of power consumption and performance which includes three metrics: accuracy and precision, response rate and response time. This study includes for the first part a series of lab tests where Sigfox Geolocation and GPS were studied in a single Sleep, Wake up, Idle, Tx/Rx cycle. For the second part, field tests with different geographical parameters (altitude, population, mobility) were conducted. Results of lab tests show that power consumption difference between Sigfox and GPS is a linear function of Idle time. In field tests, GPS presents a far superior performance than Sigfox in all metrics and marginally better power efficiency for relatively short Idle interval. For both GPS and Sigfox, a correlation between power efficiency and performance was observed. Results show that GPS operates best in rural environments while Sigfox stands out in urban ones. Payload size was observed to affect Sigfox in both power consumption and performance while different transmission rates only affect power consumption but do not seem to impact the other metrics. A solution based on the outcome of this study is suggested for a freight-monitoring system where geolocation is handled by GPS and the coordinates transmitted via Sigfox. As an emerging technology under constant development, Sigfox Geolocation is expected to have improved performance in the near future.

1 - 28 of 28
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