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Träfflista för sökning "hsv:(TEKNIK OCH TEKNOLOGIER) hsv:(Elektroteknik och elektronik) srt2:(2010-2019);lar1:(ltu)"

Search: hsv:(TEKNIK OCH TEKNOLOGIER) hsv:(Elektroteknik och elektronik) > (2010-2019) > Luleå University of Technology

  • Result 1-10 of 1648
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1.
  • Alhashimi, Anas, 1978- (author)
  • The application of auto regressive spectrum modeling for identification of the intercepted radar signal frequency modulation
  • 2012
  • In: Inventi Impact - Telecom. - Bhopal, India : Inventi Journals Pvt.Ltd.. - 2249-1414 .- 2230-8172. ; 2012:3
  • Journal article (peer-reviewed)abstract
    • 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.
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2.
  • Bagheri, Azam, et al. (author)
  • Big data from smart grids
  • 2018
  • In: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017. - New York : Institute of Electrical and Electronics Engineers (IEEE). - 9781538619537
  • Conference paper (peer-reviewed)abstract
    • This paper gives a general introduction to “Big Data” in general and to Big Data in smart grids in particular. Large amounts of data (Big Data) contains a lots of information, however developing the analytics to extract such information is a big challenge due to some of the particular characteristics of Big Data. This paper investigates some existing analytic algorithms, especially deep learning algorithms, as tools for handling Big Data. The paper also explains the potential for deep learning application in smart grids.
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3.
  • Bagheri, Azam, et al. (author)
  • Improved characterization of multi-stage voltage dips based on the space phasor model
  • 2018
  • In: Electric power systems research. - : Elsevier. - 0378-7796 .- 1873-2046. ; 154, s. 319-328
  • Journal article (peer-reviewed)abstract
    • This paper proposes a method for characterizing voltage dips based on the space phasor model of the three phase-to-neutral voltages, instead of the individual voltages. This has several advantages. Using a K-means clustering algorithm, a multi-stage dip is separated into its individual event segments directly instead of first detecting the transition segments. The logistic regression algorithm fits the best single-segment characteristics to every individual segment, instead of extreme values being used for this, as in earlier methods. The method is validated by applying it to synthetic and measured dips. It can be generalized for application to both single- and multi-stage dips.
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4.
  • Birk, Wolfgang, et al. (author)
  • Project: iRoad
  • 2011
  • Other publication (pop. science, debate, etc.)
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5.
  • Carlson, Johan, et al. (author)
  • Projekt: SCOPE Norra
  • 2011
  • Other publication (pop. science, debate, etc.)abstract
    • SCOPE Norra är ett samarbetskonsortium för forskning och utveckling tillsammans med massa- och pappersindustrin i Norrbotten och Västerbotten. Projektet koordineras av centrumbildningen ProcessIT Innovations.Inom SCOPE Norra pågår ett flertal delprojekt, uppdelat på ett antal fokusområden.Huvudfinansiär för konsortiet är Tillväxtverket genom medel från EU:s strukturfonder.
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6.
  • Gu, Irene Yu-Hua, 1953, et al. (author)
  • Signal Processing and Classification Tools for Intelligent Distributed Monitoring and Analysis of the Smart Grid
  • 2011
  • In: IEEE PES Innovative Smart Grid Technologies Conference Europe. 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, ISGT Europe 2011, Manchester, 5 - 7 December 2011. - Piscataway, N.J : IEEE Communications Society. - 9781457714214
  • Conference paper (peer-reviewed)abstract
    • This paper proposes a novel framework for an intelligent monitoring system that supervises the performance of the future power system. The increased complexity of the power system could endanger the reliability, voltage quality, operational security or resilience of the power system. A distributed structure for such a monitoring system is described and some of the advanced signal processing techniques or tools that could be used in such a monitoring system are given. Several examples for seeking the spatial locations and finding the underlying causes of disturbances are included.
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7.
  • Le, Cuong, 1982, et al. (author)
  • Analysis of Power Disturbances from Monitoring Multiple Levels and Locations in a Power System
  • 2010
  • In: The 14th IEEE Int'l Conf. on Harmonics and Quality of Power, 26-29 Sep. 2010, Bergamo, Italy. - : IEEE Communications Society. - 9781424472444 - 9781424472451
  • Conference paper (peer-reviewed)abstract
    • This paper proposes a new methodology for diagnosing the original source and underlying causes of power system disturbances, where voltage and current recordings from different locations of a power system are collected. In the proposed method, disturbances are first pre-classified based on the number of transition segments. The spatial zone of the source of disturbances is coarsely determined from voltage recordings only. Disturbances are then further analyzed and characterized by extracting information from both voltages and currents. Finally more accurate information about the location of the source of disturbances is obtained by different techniques depending on the type of disturbances. Several underlying causes are analyzed and classified by using the proposed features extracted from both voltage and current waveforms. Finally, the location of the source of disturbances is refined once the underlying causes are found. Case studies were performed on a large grid-connected wind farm with disturbances from several underlying causes, including: fault, unit tripping, transformer, capacitor, and cable energizing generated by PSCAD/EMTDC.
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8.
  • Eriksson, Martin, et al. (author)
  • Monitoring and modelling open compute servers
  • 2017
  • In: Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. - Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc.. - 9781538611272 ; , s. 7177-7184, s. 7177-7184
  • Conference paper (peer-reviewed)abstract
    • Energy efficient control of server rooms in modern data centers can help reducing the energy usage of this fast growing industry. Efficient control, however, cannot be achieved without: i) continuously monitoring in real-time the behavior of the basic thermal nodes within these infrastructures, i.e., the servers; ii) analyzing the acquired data to model the thermal dynamics within the data center. Accurate data and accurate models are indeed instrumental for implementing efficient data centers cooling strategies. In this paper we focus on a class of Open Compute Servers, designed in an open-source fashion and currently deployed by Facebook. We thus propose a set of methods for collecting real-time data from these platforms and a control-oriented model describing the thermal dynamics of the CPUs and RAMs of these servers as a function of both manipulable and exogenous inputs (e.g., the CPU utilization levels and the air mass flow produced by the server's fans). We identify the parameters of this model from real data and make the results available to other researchers.
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9.
  • Birk, Wolfgang, et al. (author)
  • Road surface networks technology enablers for enhanced ITS
  • 2010
  • In: 2010 IEEE Vehicular Networking Conference, VNC 2010. - Piscataway, NJ : IEEE Communications Society. - 9781424495269 ; , s. 152-159
  • Conference paper (peer-reviewed)abstract
    • The increased need for mobility has led to transportation problems like congestion, accidents and pollution. In order to provide safe and efficient transport systems great efforts are currently being put into developing Intelligent Transport Systems (ITS) and cooperative systems. In this paper we extend proposed solutions with autonomous on-road sensors and actuators forming a wireless Road Surface Network (RSN). We present the RSN architecture and design methodology and demonstrate its applicability to queue-end detection. For the use case we discuss the requirements and technological solutions to sensor technology, data processing and communication. In particular the MAC protocol is detailed and its performance assessed through theoretical verification. The RSN architecture is shown to offer a scalable solution, where increased node density offers more precise sensing as well as increased redundancy for safety critical applications. The use-case demonstrates that RSN solutions may be deployed as standalone systems potentially integrated into current and future ITS. RSN may provide both easily deployable and cost effective alternatives to traditional ITS (with a direct impact independent of penetration rate of other ITS infrastructures - i.e., smart vehicles, safe spots etc.) as well as provide fine grain sensory information directly from the road surface to back-end and cooperative systems, thus enabling a wide range of ITS applications beyond current state of the art.
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10.
  • Törngren, Martin, 1963-, et al. (author)
  • Strategies and considerations in shaping cyber-physical systems education
  • 2016
  • In: ACM SIGBED Review. - : Association for Computing Machinery (ACM). - 1551-3688. ; :1, s. 53-60
  • Journal article (peer-reviewed)abstract
    • Embedded and Cyber-Physical Systems education faces several challenges as well as opportunities as every-“thing” becomes connected, and as technology development accelerates. Initiatives such as CDIO, as well as several other academic and industry initiatives to create new CPS programs illustrate strong interests and awareness of these challenges. We provide an overview of foreseen educational needs, existing state of the art in education and an analysis of the subject of CPS with the purpose of understanding the implications for education. The investigation points to key issues in curriculum design regarding balancing depth and breadth, theory and practices, academic and industrial needs, and core technical skills with complementary skills. Curricula in CPS could, if the right balance is achieved, educate CPS engineers of the future that are “ready to engineer”. We conclude by synthesizing high level guidelines in terms of strategies and considerations for CPS curriculum development.
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  • Result 1-10 of 1648
Type of publication
conference paper (842)
journal article (548)
other publication (56)
doctoral thesis (56)
licentiate thesis (50)
reports (45)
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book chapter (32)
patent (8)
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Type of content
peer-reviewed (1345)
other academic/artistic (233)
pop. science, debate, etc. (69)
Author/Editor
Bollen, Math (272)
Nikolakopoulos, Geor ... (158)
Rönnberg, Sarah (109)
Delsing, Jerker (105)
Gustafsson, Thomas (93)
Emami, Reza (75)
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Eliasson, Jens (69)
Birk, Wolfgang (58)
Ekman, Jonas (55)
Larsson, Anders (42)
Varagnolo, Damiano (40)
Lindgren, Per (38)
Georgoulas, Georgios (37)
Carlson, Johan E. (33)
Lindström, John (33)
Borg, Johan (32)
Yang, Kai (32)
Johansson, Jonny (32)
Wahlberg, Mats (31)
Gil-de-Castro, Auror ... (30)
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Karvelis, Petros (26)
Felicetti, Leonard (26)
Vyatkin, Valeriy (25)
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Atta, Khalid (24)
Kyusakov, Rumen (24)
van de Beek, Jaap (23)
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Hostettler, Roland (20)
Manesis, Stamatis (20)
Laila, Dina Shona (20)
Fresk, Emil (20)
Granvik, Mikael (19)
Antonini, Giulio (19)
Andersson, Ulf (18)
Zhong, Jin (18)
Bagheri, Azam (18)
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Royal Institute of Technology (44)
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