EDI — Elektronikas un datorzinātņu institūts

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Publikācijas

729 publikācijas

  • 2016

    Acceleration and Magnetic Sensor Network for Shape Sensing

    HERMANIS, A., CACURS, R. and GREITANS, M.

    Kopsavilkums

    <p>HERMANIS, A., CACURS, R. and GREITANS, M., 2016. Acceleration and Magnetic Sensor Network for Shape Sensing. IEEE Sensors Journal, 16(5), pp. 1271-1280.</p> <p>https://www.scopus.com/record/display.uri?eid=2-s2.0-84962425746&amp;origin=resultslist&amp;zone=contextBox#</p>

  • 2016

    Influence of thermal hysteresis on distortions of zero line at various comparator type equivalent time signal conversion methods

    KRUMIN’SH, K., PETERSON, V. and PLOTSIN’SH, V.

    Kopsavilkums

    <p>KRUMIN’SH, K., PETERSON, V. and PLOTSIN’SH, V., 2016. Influence of thermal hysteresis on distortions of zero line at various comparator type equivalent time signal conversion methods. Automatic Control and Computer Sciences, 50(1), pp. 20-27.</p> <p>https://www.scopus.com/record/display.uri?eid=2-s2.0-84962775720&amp;origin=resultslist&amp;zone=contextBox#</p> <p>http://link.springer.com/article/10.3103/S0146411616010053</p>

  • 2016

    Fusion of Multisensor Data Based on Different Multidimensional Distributions

    LORENCS, A., MEDNIEKS, I., SINICA-SINAVSKIS, J., PUKITIS M.

    Kopsavilkums

    <p>LORENCS, A., MEDNIEKS, I., SINICA-SINAVSKIS, J., PUKITIS M. Fusion of Multisensor Data Based on Different Multidimensional Distributions, Electronics and Electrical Engineering (Elektronika ir Elektrotechnika, Vol. 22, No.4, pp. 68-72, 2016.<br /> Abstract</p> <p>The paper addresses problems related with classification of images obtained using different types of remote sensors. Development and use of Bayes type land cover classifiers based on multidimensional Gaussian, Dirichlet and gamma distributions is analysed and compared on the basis of sample data from RGB and hyperspectral thermal sensors with unequal spatial resolution. Approaches to data fusion for design of the combined classifiers are presented including the cases where different families of multidimensional distributions are used to model the sensor data and classifiers are designed using combinations of their probability density functions. The best classification results are obtained when the fusion of data from both images is used together with classification based on all three considered distributions combined together.</p>

  • 2016

    Discrete Fourier Transform of the signals recovered by using high-performance Event Timers

    SUDARS K, BILINSKIS I, BOOLE E.

    Kopsavilkums

    <p>SUDARS K, BILINSKIS I, BOOLE E. 2016. Discrete Fourier Transform of the signals recovered by using high-performance Event Timers", Proc. of BEC2016, the 15th Biennial Conference on Electronics and Embedded Systems. Tallinn, Estonia, October 3-5, 2016. pp.</p>

  • 2016

    Discrete Fourier Transform of event timing signals transmitted over optical lines

    BILINSKIS I, E.BOOLE E., SKAGERIS A.

    Kopsavilkums

    <p>BILINSKIS I, E.BOOLE E., SKAGERIS A. 2016. "Discrete Fourier Transform of event timing signals transmitted over optical lines". In Proc. "Advances in Wireless and Optical Communications RTUWO2016, November 3 - 4, 2016, Riga, Latvia", pp.33-36</p>

  • 2016

    Improved RGB-D-T based face recognition

    SIMÓN, M.O., CORNEANU, C., NASROLLAHI, K., NIKISINS, O., ESCALERA, S., SUN, Y., LI, H., SUN, Z., MOESLUND, T.B. and GREITANS, M.

    Kopsavilkums

    <p>SIMÓN, M.O., CORNEANU, C., NASROLLAHI, K., NIKISINS, O., ESCALERA, S., SUN, Y., LI, H., SUN, Z., MOESLUND, T.B. and GREITANS, M., 2016. Improved RGB-D-T based face recognition. IET Biometrics, 5(4), pp. 297-303.</p>

  • 2016

    ОПТИМИЗАЦИЯ ДЛИТЕЛЬНОСТИ ИМПУЛЬСА ПЕРЕДАТЧИКА

    В. Аристов

    Kopsavilkums

    <p>В. Аристов. „ОПТИМИЗАЦИЯ ДЛИТЕЛЬНОСТИ ИМПУЛЬСА ПЕРЕДАТЧИКА ПО КРИТЕРИЮ МАКСИМИЗАЦИИ ИЗЛУЧАЕМОГО СПЕКТРА НА ЗАДАННОЙ ЧАСТОТЕ”, Рига, ”Автоматика и вычислительная техника” - 2016, с. 94-101.</p> <p><a href="https://www.edi.lv/download/pub_file/23/">AUT4-2016_2-Aristov_RUS.pdf </a></p>

  • 2016

    Improved RGB-D-T based face recognition

    Simón, M.O., Corneanu, C., Nasrollahi, K., Nikisins, O., Escalera, S., Sun, Y., Li, H., Sun, Z., Moeslund, T.B. & Greitans, M.

    Kopsavilkums

    <p>Simón, M.O., Corneanu, C., Nasrollahi, K., Nikisins, O., Escalera, S., Sun, Y., Li, H., Sun, Z., Moeslund, T.B. &amp; Greitans, M. 2016, "Improved RGB-D-T based face recognition", IET Biometrics, vol. 5, no. 4, pp. 297-303.</p>

  • 2016

    Optimization of the transmitter pulse duration by the criterion of the radiation spectrum maximization at a given frequency

    ARISTOV, V. 2016

    Kopsavilkums

    <p>ARISTOV, V. 2016. Optimization of the transmitter pulse duration by the criterion of the radiation spectrum maximization at a given frequency. Automatic Control and Computer Sciences. 50(4), 220-225.</p>

  • 2016

    Network Data Traffic Management Inside a TestBed

    Judvaitis J., Salmins A., Nesenbergs K.

    Kopsavilkums

    <p>Judvaitis, J., Salmins, A., Nesenbergs, K. (2016) Network Data Traffic Management Inside a TestBed. RTUWO 2016 Advances in Wireless and Optical Communications, 3-4. nov. 2016 Riga, Latvia., http://ieeexplore.ieee.org/document/7821874/; ISBN: 978-1-5090-1535-1.</p> <p>DOI: <a href="http://10.1109/RTUWO.2016.7821874">10.1109/RTUWO.2016.7821874</a></p> <p><strong>Abstract:</strong><br /> Wireless sensor network (WSN) TestBed design challenges can be divided into three main sub-categories: architectural, hardware and software. By considering all these challenges, an optimal solution was found and EDI TestBed created. In this paper, a method, which solves software related problems in large scale WSN TestBed, such as how to distribute computational resources, control all of the TestBed devices and how to efficiently acquire and structure the data, is described. The experimental test results shows that proposed method is advantageous for large scale TestBeds (more than 20 sensor nodes), and its efficiency increases rapidly if the number of sensor nodes in TestBed increases.</p>

  • 2016

    Demo: Wearable sensor System for Human Biomehanics Monitoring

    HERMANIS, A., CACURS, R., NESENBERGS, K., GREITANS, M., SYUNDYUKOV, E., SELAVO, L.

    Kopsavilkums

    <p>HERMANIS, A., CACURS, R., NESENBERGS, K., GREITANS, M., SYUNDYUKOV, E., SELAVO, L., 2016. Demo: Wearable sensor System for Human Biomehanics Monitoring. Rroceeding of the 2016 International Conference on Embeded Wireless Systems and Networks, pp 247-248.</p>

  • 2016

    Amplitude Adaptive ASDM without Envelope Encoding

    OZOLS., K, SHAVELIS., R

    Kopsavilkums

    <p>OZOLS., K, SHAVELIS., R, Amplitude Adaptive ASDM without Envelope Encoding, The 2016 European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, August 29 -September 2, 2016.<br /> Abstract:<br /> In this paper a method of encoding the signals by using Amplitude Adaptive Asynchronous Sigma-Delta modulator (AA-ASDM) scheme without an additional envelope encoding of the signal is proposed. According to AA-ASDM, the timevarying envelope function of the input signal is used in the feedback loop to reduce the switching rate of the output trigger and thus the power consumption of the circuit. In previous work, the signal and its envelope function were encoded and transmitted separately, thus resulting in inefficiency, since two signals instead of one were required to be transmitted. In order to solve this inefficiency, in this paper it is proposed to select such a time-varying envelope function which does not require additional encoding and transmission, and still be able to recover the original signal from the obtained time sequence. The proposed method is particularly advantageous for signals with wide dynamic range.</p>

  • 2016

    The Use of Asynchronous Sigma-Delta Modulation in Analog-Signal Sampling Based on Event-Timing Techniques

    RYBAKOV A.S.

    Kopsavilkums

    <p>RYBAKOV A.S. 2016 The Use of Asynchronous Sigma-Delta Modulation in Analog-Signal Sampling Based on Event-Timing Techniques // Automatic Control and Computer Sciences, 2016, Vol. 50, No. 6, pp. 385-396.</p>

  • 2016

    Architecture of smart clothing for standardized wearable sensor systems

    NESENBERGS K.

    Kopsavilkums

    <p>NESENBERGS K. 2016 “Architecture of smart clothing for standardized wearable sensor systems.” IEEE Instrumentation &amp; Measurement Magazine Volume 19, Issue 5 (2016), pp. 36-64. DOI:</p> <h3 class="publication_title"><a href="http://dx.doi.org/10.1109/MIM.2016.7579068" target="_blank" rel="noopener noreferrer">10.1109/MIM.2016.7579068</a> , <a href="http://ieeexplore.ieee.org/document/7579068/" target="_blank" rel="noopener noreferrer">http://ieeexplore.ieee.org/document/7579068/</a></h3>

  • 2015

    Improving object transparent vision using enhanced image selection

    Jānis Judvaitis, Igors Homjakovs, Ričards Cacurs, Krišjānis Nesenbergs, Atis Hermanis, Kaspars Sudars

    Kopsavilkums

    <p>J. Judvaitis, I. Homjakovs, R. Cacurs, K. Nesenbergs, A. Hermanis, K. Sudars, 2015. Improving object transparent vision using enhanced image selection, Automatic Control and Computer Sciences, Vol. 49, Nr. 6, 2015, pp</p> <p>All authors:</p> <p>Jānis Judvaitis, Igors Homjakovs, Ričards Cacurs, Krišjānis Nesenbergs, Atis Hermanis, Kaspars Sudars.</p> <p><strong>Abstract:</strong></p> <p>In this paper we try to improve object transparent vision. Our goal is to see how object transparent vision can be improved by: 1. Automated fused image correctness check. 2. Finding correct images for image fusing. We also conducted several experiments related to object transparent vision in order to gain better understanding of subject. The introduced improvements in the paper can provide reasonable result for image fusion for most of the analyzed cases.</p>

  • 2015

    Classification of Multisensor Images with Different Spatial Resolution

    LORENCS, A., MEDNIEKS, I., SINICA-SINAVSKIS, J.

    Kopsavilkums

    <p>LORENCS, A., MEDNIEKS, I., SINICA-SINAVSKIS, J., 2015. Classification of Multisensor Images with Different Spatial Resolution, Electronics and Electrical Engineering, Vol. 21, No. 5, pp.81-85</p>

  • 2015

    An Investigation of Non-traditional Approach to Narrowing the GPR Pulse

    ARISTOV, V., SHAVELIS, R., SHUPOLS, G., and CIRULIS, R.

    Kopsavilkums

    <p>ARISTOV, V., SHAVELIS, R., SHUPOLS, G., and CIRULIS, R. 2015. An Investigation of Non-traditional Approach to Narrowing the GPR Pulses. 25th International Conference “Radioelektronika 2015”. Pardubice, Czech Republic, 21-22</p> <p>Abstract—In this paper an investigation is carried out on how to decrease the time duration of the pulses used in a GPR system. The basic idea is to change the waveform of the pulses which are applied to the transmit antenna in order to flatten the spectrum of the received pulses. The experimental and simulation results of the obtained signals are provided.</p>

  • 2015

    An evaluation the motion of a reconfigurable mobile robot over a rough terrain

    BAUMS, A., GORDYUSINS, A.

    Kopsavilkums

    <p>BAUMS, A., GORDYUSINS, A., 2015. An evaluation the motion of a reconfigurable mobile robot over a rough terrain. Automatic Control and Computer Sciences, Allerton Press, Inc., vol.49. no.5, pp. 39- 45</p>

  • 2015

    Signal With Linear Distortions Restoration Experiments for Stroboscopic Comparator-Based Converters

    HERMANIS, E., SHUPOLS, G., SHAVELIS, R., ARISTOV, V.

    Kopsavilkums

    <p>HERMANIS, E., SHUPOLS, G., SHAVELIS, R., ARISTOV, V., 2015. Signal With Linear Distortions Restoration Experiments for Stroboscopic Comparator-Based Converters, Automatic Control and Computer Sciences, Vol. 49, No. 6, 2015, pp. 390-394.</p>

  • 2015

    Registration Method for Multispectral Skin Images

    KADIĶIS R.

    Kopsavilkums

    <p><img class=" wp-image-6941 aligncenter" src="/storage/wp/2019/07/block_scheme-300x45.png" alt="" width="533" height="80" /></p> <p>A feature-based image registration method is presented for the use on the multispectral skin images. The proposed method allows the use and combination of different kinds of feature points, so it can be adjusted to different applications. The local minima and maxima are used as features for the skin images. By analyzing all possible shifts among feature points in the reference and sensed images, the proposed method efficiently finds translation among these images. The method is expanded to also determin e rotation and scale. The proposed method is compared with other area-based and feature-based methods (proposed in the literature specifically for skin images) by testing those methods on a set of multispectral skin images.</p> <p><a href="https://ieeexplore.ieee.org/abstract/document/7129018">Kadikis, R. (2015, April). Registration method for multispectral skin images. In <i>2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)</i> (pp. 232-235). IEEE.</a></p> <p><a href="https://makonis.edi.lv/s/pdPgFi5rCoRTDWq">pdf</a></p> <p><img class="alignnone size-medium wp-image-6942" src="/storage/wp/2019/07/distance_calculation-300x188.png" alt="" width="300" height="188" /></p>