Research

Publications

729 publications

2017
Face Recognition Face2vec Based on Deep Learning: Small Database Case

SUDARS, K.

Abstract

SUDARS, K., 2017. Face Recognition Face2vec Based on Deep Learning: Small Database Case, Automatic Control and Computer Science. Vol.51, No.1.
2017
NOTIKUMA TAIMERIS AR SISTEMĀTISKĀS TAIMĒŠANAS KĻŪDAS STABILIZĀCIJU

V. Bespalko, J. Buls, I.Buraks, V. Vedins

Abstract

LR patents LV 15284 “NOTIKUMA TAIMERIS AR SISTEMĀTISKĀS TAIMĒŠANAS KĻŪDAS STABILIZĀCIJU”. Izgudrotāji: V. Bespalko, J. Buls, I.Buraks, V. Vedins. Īpašnieks: Elektronikas un datorzinātņu institūts, publicēts LR Patentu valdes oficiālā vēstnesī, No 11, 2017, ir spēkā no 21.09.2017
2017
The event timer A033-ET family for SLR automation

Bespalko V., Boole E., Buraks I., Vershinin A., Spunde R

Abstract

Bespalko V., Boole E., Buraks I., Vershinin A., Spunde R. The event timer A033-ET family for SLR automation “2017 ILRS Technical Workshop, October 2 – 5 in Riga, Latvia” Posteris NASA datubāze: <a href="https://cddis.nasa.gov/2017_Technical_Workshop/docs/posters/ilrsTW2017_s3_Bespalko_poster.pdf">https://cddis.nasa.gov/2017_Technical_Workshop/docs/posters/ilrsTW2017_s3_Bespalko_poster.pdf</a> <div id="gtx-trans" style="position: absolute; left: -2px; top: 0px;"> <div class="gtx-trans-icon"></div> </div>
2017
Distance localization of the moving object by applying the karhunen–loeve transform to ultra-wideband impulse signals

V. Aristov

Abstract

V. Aristov, "Distance localization of the moving object by applying the karhunen–loeve transform to ultra-wideband impulse signals". ISSN 0146-4116, Automatic Control and Computer Sciences, 2017, Vol. 51, No. 5, pp. 294–300. © Allerton Press, Inc., 2017.
2017
Method for transmission of wide bandwidth signals based on event timing and deliberate randomization of signal sampling

I.Bilinskis, E.Boole, A.Skageris

Abstract

I.Bilinskis, E.Boole, A.Skageris, "Method for transmission of wide bandwidth signals based on event timing and deliberate randomization of signal sampling", Advances of Wireless and Optical Communication RTUWO 2017, Riga, November 2-3, 2017, pp.152-155.
2017
Amplitude Adaptive ASDM circuit

Shavelis R., Ozols K., Greitans M.

Abstract

Shavelis R., Ozols K., Greitans M., Amplitude Adaptive ASDM circuit, 2017 3rd International Conference on Event-Based Control, Communication and Signal Processing, Madeira, 2017
2017
Simulation of compressed sensing based passive radar for drone detection

G. Gaigals, E. Vavilina

Abstract

G. Gaigals, E. Vavilina. "Simulation of compressed sensing based passive radar for drone detection." 2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE). IEEE, 2017.
2017
Signal Transmission and Representation Based on High Performance Event Timing

I.Bilinskis, E.Boole

Abstract

I.Bilinskis, E.Boole, "Signal Transmission and Representation Based on High Performance Event Timing", Baltic Journal of Modern Computing, Volume 5, Issue 1, pp. 24-36
2017
WSN based on accelerometer, GPS and RSSI measurements for train integrity monitoring

Barkovskis N., Salmins A., Ozols K., García M.A.M., Ayuso F.P.

Abstract

Barkovskis N., Salmins A., Ozols K., García M.A.M., Ayuso F.P., WSN based on accelerometer, GPS and RSSI measurements for train integrity monitoring, 2017 4th International Conference on Control, Decision and Information Technologies, Barcelona, 2017
2017
Using virtual environment for autonomous vehicle algorithm validation

A.Levinskis

Abstract

A.Levinskis, "Using virtual environment for autonomous vehicle algorithm validation", 2017 The 10th International Conference on Machine Vision (ICMV 2017), November 13-15, 2017, Vienna, Austria <div id="gtx-trans" style="position: absolute; left: -12px; top: 0px;"> <div class="gtx-trans-icon"></div> </div>
2017
Recurrent neural network based virtual detection line

R. Kadiķis

Abstract

<div class="mceTemp"> <figure><img class="wp-image-6929 size-medium" src="/storage/wp/2019/07/arch-300x100.png" alt="" width="300" height="100" /> <figcaption>Virtual detection line as an input to RNN</figcaption> </figure> The paper proposes an efficient method for detection of moving objects in the video. The objects are detected when they cross a virtual detection line. Only the pixels of the detection line are processed, which makes the method computationally efficient. A Recurrent Neural Network processes these pixels. The machine learning approach allows one to train a model that works in different and changing outdoor conditions. Also, the same network can be trained for various detection tasks, which is demonstrated by the tests on vehicle and people counting. In addition, the paper proposes a method for semi-automatic acquisition of labeled training data. The labeling method is used to create training and testing datasets, which in turn are used to train and evaluate the accuracy and efficiency of the detection method. The method shows similar accuracy as the alternative efficient methods but provides greater adaptability and usability for different tasks. <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10696/106961V/Recurrent-neural-network-based-virtual-detection-line/10.1117/12.2309772.short?SSO=1">Kadikis, R. (2018, April). Recurrent neural network based virtual detection line. In Tenth International Conference on Machine Vision (ICMV 2017) (Vol. 10696, p. 106961V). International Society for Optics and Photonics.</a> <a href="https://makonis.edi.lv/s/iXBBm5r9pwY3nC9">pdf</a> </div>
2016
Network Data Traffic Management Inside a TestBed

Judvaitis J., Salmins A., Nesenbergs K.

Abstract

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. DOI: <a href="http://10.1109/RTUWO.2016.7821874">10.1109/RTUWO.2016.7821874</a> Abstract: 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.
2016
Optimization of the transmitter pulse duration by the criterion of the radiation spectrum maximization at a given frequency

ARISTOV, V. 2016

Abstract

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.
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.

Abstract

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

В. Аристов

Abstract

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

Abstract

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.
2016
Discrete Fourier Transform of event timing signals transmitted over optical lines

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

Abstract

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
2016
Discrete Fourier Transform of the signals recovered by using high-performance Event Timers

SUDARS K, BILINSKIS I, BOOLE E.

Abstract

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.
2016
Fusion of Multisensor Data Based on Different Multidimensional Distributions

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

Abstract

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. Abstract 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.
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.

Abstract

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. https://www.scopus.com/record/display.uri?eid=2-s2.0-84962775720&origin=resultslist&zone=contextBox# http://link.springer.com/article/10.3103/S0146411616010053

Face Recognition Face2vec Based on Deep Learning: Small Database Case

NOTIKUMA TAIMERIS AR SISTEMĀTISKĀS TAIMĒŠANAS KĻŪDAS STABILIZĀCIJU

The event timer A033-ET family for SLR automation

Distance localization of the moving object by applying the karhunen–loeve transform to ultra-wideband impulse signals

Method for transmission of wide bandwidth signals based on event timing and deliberate randomization of signal sampling

Amplitude Adaptive ASDM circuit

Simulation of compressed sensing based passive radar for drone detection

Signal Transmission and Representation Based on High Performance Event Timing

WSN based on accelerometer, GPS and RSSI measurements for train integrity monitoring

Using virtual environment for autonomous vehicle algorithm validation

Recurrent neural network based virtual detection line

Network Data Traffic Management Inside a TestBed

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

Improved RGB-D-T based face recognition

ОПТИМИЗАЦИЯ ДЛИТЕЛЬНОСТИ ИМПУЛЬСА ПЕРЕДАТЧИКА

Improved RGB-D-T based face recognition

Discrete Fourier Transform of event timing signals transmitted over optical lines

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

Fusion of Multisensor Data Based on Different Multidimensional Distributions

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