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  • 1.
    Alhashimi, Anas
    University of Baghdad, Baghdad, Iraq.
    The application of auto regressive spectrum modeling for identification of the intercepted radar signal frequency modulation2012In: Inventi Impact - Telecom, ISSN 2249-1414, Vol. 2012, no 3Article in journal (Refereed)
    Abstract [en]

    In the Electronic Warfare receivers, it is important to know the type of modulation of the intercepted Radar signals (MOP modulation on pulse). This information can be very helpful in identifying the type of Radar present and to take the appropriate actions against it. In this paper, a new signal processing method is presented to identify the FM (Frequency Modulation) pattern from the received Radar pulses. The proposed processing method based on Auto Regressive Spectrum Modelling used for digital modulation classification [1]. This model uses the instantaneous frequency and instantaneous bandwidth as obtained from the roots of the autoregressive polynomial. The instantaneous frequency and instantaneous bandwidth together were used to identify the type of modulation in the Radar pulse. Another feature derived from the instantaneous frequency is the frequency rate of change. The frequency rate of change was used to extract the pattern of the frequency change. Results show that this method works properly even for low signal to noise ratios.

  • 2.
    Gao, Shang
    et al.
    School of Business Administration, Zhongnan University of Economics and Law, Wuhan, China.
    Krogstie, John
    Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
    Siau, Keng
    Department of Business and Information Technology, Missouri University of Science and Technology, Rolla MO, United States.
    Adoption of mobile information services: An empirical study2014In: International Journal of Mobile Information Systems, ISSN 1574-017X, E-ISSN 1875-905X, Vol. 10, no 2, p. 147-171Article in journal (Refereed)
    Abstract [en]

    This study investigates the adoption of mobile information services at a Norwegian university. By expanding the Technology Acceptance Model (TAM), a new research model, known as the mobile services acceptance model (MSAM), is proposed. Based on the research model, seven research hypotheses are presented. The proposed research model and research hypotheses were empirically tested using data collected from a survey of users of a mobile service, extended Mobile Student Information Systems (eMSIS), at a Norwegian university. The findings indicate that the fitness of the research model is good. Support was also found for the seven research hypotheses. Among the factors, the personal initiatives and characteristics has the strongest influence on the intention to use eMSIS.

  • 3.
    Gao, Shang
    et al.
    Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
    Krogstie, John
    Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
    Siau, Keng
    Department of Management, University of Nebraska, Lincoln NE, USA.
    Developing an instrument to measure the adoption of mobile services2011In: International Journal of Mobile Information Systems, ISSN 1574-017X, E-ISSN 1875-905X, Vol. 7, no 1, p. 45-67Article in journal (Refereed)
    Abstract [en]

    Currently, there is no standard instrument for measuring user adoption of mobile services. Based on the mobile service acceptance model, this paper reports on the development of a survey instrument designed to measure user perception on mobile services acceptance. A survey instrument was developed by using some existing scales from prior instruments and by creating additional items which might appear to fit the construct definitions. In addition, a pilot study was conducted by distributing the survey to 25 users of a mobile service called Mobile Student Information Systems. As a result, a survey instrument containing 22 items were retained. Furthermore, the results showed that the reliabilities of all the scales in the survey instrument were above the target acceptance level.

  • 4.
    Kotlyar, Oleksandr
    et al.
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Pankratova, Maryna
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Kamalian-Kopae, Morteza
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Vasylchenkova, Anastasiia
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Prilepsky, Jaroslaw
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Turitsyn, Sergei
    Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom.
    Combining nonlinear Fourier transform and neural network-based processing in optical communications2020In: Optics Letters, ISSN 0146-9592, E-ISSN 1539-4794, Vol. 45, no 13, p. 3462-3465, article id OL.394115Article in journal (Refereed)
    Abstract [en]

    We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optical transmission system by applying the neural network post-processing of the nonlinear spectrum at the receiver. We demonstrate through numerical modeling about one order of magnitude bit error rate improvement and compare this method with machine learning processing based on the classification of the received symbols. The proposed approach also offers a way to improve numerical accuracy of the inverse NFT; therefore, it can find a range of applications beyond optical communications.

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    Combining nonlinear Fourier transform and neural network-based processing in optical communications
  • 5.
    Lennvall, Tomas
    et al.
    ABB AB Corporate Research, Västerås, Sweden.
    Frey, Jan-Erik
    ABB AB System Automation, Västerås, Sweden.
    Gidlund, Mikael
    ABB AB Corporate Research, Västerås, Sweden.
    Wireless Sensor Networks for Automation2015In: Industrial communication technology handbook / [ed] R. Zurawski, Boca Raton: CRC Press , 2015, 2, p. 36-1-36-1Chapter in book (Refereed)
  • 6.
    Lennvall, Tomas
    et al.
    ABB AB Corporate Research, Västerås, Sweden.
    Landernäs, Krister
    ABB AB Corporate Research, Västerås, Sweden.
    Gidlund, Mikael
    ABB AB Corporate Research, Västerås, Sweden.
    Åkerberg, Johan
    ABB AB Corporate Research, Västerås, Sweden.
    Industrial WSN Standards2013In: Industrial wireless sensor networks: applications, protocols, and standards / [ed] V. Çağrı Güngör and Gerhard P. Hancke, Boca Raton: Taylor & Francis , 2013, p. 339-358Chapter in book (Refereed)
  • 7.
    Wang, Yan
    et al.
    Örebro University, School of Science and Technology.
    Gaspes, Veronica
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Embedded Systems (CERES).
    A Domain Specific Approach to Network Software Architecture: Assuring Conformance Between Architecture and Code2009In: Fourth International Conference on Digital Telecommunications, 2009. ICDT '09, Piscataway, N.J.: IEEE, 2009, p. 127-132Conference paper (Refereed)
    Abstract [en]

    Network software is typically organized according toa layered architecture that is well understood. However, writingcorrect and efficient code that conforms with the architecture stillremains a problem. To overcome this problem we propose to usea domain specific language based approach. The architecturalconstraints are captured in a domain specific notation that can beused as a source for automatic program generation. Conformancewith the architecture is thus assured by construction. Knowledgefrom the domain allows us to generate efficient code. In addition,this approach enforces reuse of both code and designs, one ofthe major concerns in software architecture. In this paper, weillustrate our approach with PADDLE, a tool that generates packetprocessing code from packet descriptions. To describe packets weuse a domain specific language of dependent types that includespacket overlays. From the description we generate C librariesfor packet processing that are easy to integrate with other partsof the code. We include an evaluation of our tool.

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