Note: the program for online participants is also available, with virtual room numbers.

The IRS-T2 tutorial on waveform optimization - part A and part B is presented online only.

Time Room F (315) Room A (237) Room F (315) Room E (309) Room E (309) Room C (213)

Monday, October 5

10:35-12:15 MRW Opening session
13:50-15:30         S01: Bio-medical and Acoustic Signal Processing  
15:55-17:35         S02: Advanced Signal Processing  

Tuesday, October 6

10:35-12:15   IRS/SPW Plenary Session        
12:15-13:50     P-02: Posters 2    
15:55-17:35           S-T1: SPW Tutorial - moved from Monday to Tuesday

Wednesday, October 7

12:30-13:00 Emotions: Special non-technical session          
15:55-17:35 MRW Closing session

Monday, October 5

Monday, October 5 10:35 - 12:15

MRW Opening session

Chair: Jozef Modelski (Warsaw University of Technology, Poland)
10:35 Welcome Addresses and Greetings

Welcome Addresses and Greetings. Welcome Addresses and Greetings. Welcome Addresses and Greetings.

11:05 What's Next in Aeronautic Connectivity and Sensing?
Volker Ziegler (AIRBUS Central R&T, Germany)

What's next in aeronautic connectivity and sensing?

11:35 2D Materials for Infrared and Terahertz Detectors
Antoni Rogalski (Military University of Technology, Poland)

Since the graphene discovery, its applications to electronic and optoelectronic devices have been intensively and thoroughly researched. The extraordinary and unusual electronic and optical properties allow graphene and other two-dimensional (2D) materials to be promising candidates for infrared (IR) and terahertz (THz) photodetectors. Quantity of published papers devoted 2D materials as sensors is huge. However, authors of these papers address them mainly to researches involved in investigations of 2D materials. Up till now, the first test to estimate their place in wide infrared detector family was given in Advances in Optics and Photonics 11(2), 314 379, 2019. In the present paper this topic is treated comprehensively with including both theoretical estimations and many experimental data. In the paper, at the beginning we describe shortly fundamental properties of graphene-based materials and alternative 2D materials, and performance of detectors fabricated with them. Next, the position of 2D material detectors is considered in confrontation with the present stage of infrared and terahertz detectors offered on global market. A new benchmark, so-called "Rule 19", used for prediction of background limited HgCdTe photodiodes operated near room temperature, is introduced. This rule is next treated as the reference for alternative 2D material technologies. The performance comparison concerns the detector responsivty, detectivity and response time. Final conclusions predicts place of 2D material-based detectors in the near future, in wide IR detector family.

Monday, October 5 13:50 - 15:30

I-T2A: Waveform optimization part A

Waveform optimization techniques for radar systems
Mohammad Alaee-Kerahroodi,Bhavani Shankar M. R.
Room: Online only
Chair: Jacek Misiurewicz (Warsaw University of Technology, Poland)

The main goal of the tutorial is to provide the audience with a bouquet of optimization techniques to address different challenging waveform design problems in classical and emerging Multiple Input Multiple Output (MIMO) radar systems, under practical constraints.

Waveform design plays a key role in enhancing classical radar tasks including target detection and parameter estimation. Further, waveform design is a key enabler of the emerging paradigm on joint radar-communications. Different applications warrant different performance metrics; this coupled with the advent of MIMO radar makes the waveform design more challenging. Particularly, in the emerging scenario of self-driving automotive applications, towards enhancing safety and comfort, high spatial resolution is achieved using the colocated MIMO virtual array by maintaining orthogonality between the transmit waveforms. Further, waveform diversity can also be used to obtain low-probability-of-intercept (LPI) radar properties. Nevertheless, the static use of a fixed waveform reduces efficiency due to limited or no adaptation to the dynamic environment as well as vulnerability to electronic attacks highlighting the need for multiple and diverse waveforms exhibiting specific features.

In this context, the tutorial focusses on key applications and highlights a variety of optimization approaches including coordinate descent (CD) and majorization minimization (MM), dealing with important applications in radar including 1) enhancing angular resolution using sets of orthogonal sequences, 2) SINR enhancement with joint design of space-time transmit and receive weights, 3) enabling a joint radar-communications paradigm through the transmit waveform design. To further bring the optimization closer to implementation and early adaptation in systems, practical constraints, such as finite energy, unimodularity (or being constant-modulus) and finite or discrete-phase alphabet are included in the optimization problem as constraints. The diversity of design metrics and signal constraints lays the groundwork for many interesting research projects in waveform optimization.

While several seminal works have been published, a few previous "IRS" tutorials have focused on the optimization algorithms dealing with the various applications of active sensing. After attending the tutorial, participants will be able to understand: • An overview of relevant theoretical bases and algorithms from optimization theory considered in the state-of-the-art waveform design. • Current challenges and design criteria associated with waveform design in classical and emerging radar systems. • Key hardware constraints of the practical radar systems and their consideration in the optimization formulation. • An insight into formulation of waveform design optimization problems in modern radar systems and a few approaches towards finding a solution.

Tutorial outline:

We will present this tutorial in two slots and different parts as listed below:

  1. Slot 1 (1 hour and 40 minutes)

• Part I: A brief review of optimization principles, active sensing scenarios and problem formulation (50 mins): This part begins by describing and illustrating principles of convex and non-convex optimization theory. Next, we consider casting various design problems in active sensing systems. More precisely, we address several scenarios like PSL/ISL minimization for classical radar systems, designing sets of orthogonal sequences for emerging MIMO radar systems, joint sensing and communications and so on. In this context, emphasis on the objective functions and constraint sets of the associated problems. • Part II: CD optimization framework for transceiver design (50 mins): The CD based methods are intuitively appealing and simple to implement, yet they have shown powerful performance in emerging large-scale signal processing, machine-learning, regression, compressed sensing, and radar applications. The idea behind CD is not to tackle the original problem directly, but by iteratively optimizing it over a single coordinate, while keeping the other coordinates fixed. The most important advantage of the CD method is that the minimization of a multi-variable function can be achieved minimizing it along one direction at a time, i.e., solving a set of potentially simpler uni-variate sub-problems in a loop. Using this framework, we illustrate how to apply CD method on the design problem introduced in the previous part.

  1. Slot 2 (1 hour and 40 minutes)

• Part III: Waveform optimization in mm-Wave sensing and communications (40 mins): In this part we introduce the driving factors for mm-Wave spectrum sharing, low-cost design and differences with respect to cm-Wave joint sensing-communications. The need for synergetic waveform design accomplishing radar and communication tasks will be highlighted. Focussing on the automotive scenario, different topologies and related challenges on waveform design will be presented. Waveform design based on aforementioned methodologies will be presented and the gains achieved will be discussed. • Part IV: MM optimization framework for waveform design (40 mins): The MM based methods introduced for various transceiver design problems in active sensing systems will be presented in this part. The idea is to address a difficult optimization problem indirectly, by finding a surrogate function that makes the optimization problem "easy" (or, in any case, easier than the directly solving the original problem). We illustrate tricks for finding surrogate functions and the key aspects in this framework through a variety number of examples. • Part V: Summary and open challenges (20 mins): The aforementioned optimization methodologies have gained growing popularity in various applications. Some of these will be mentioned, and a summary of the introduced methods as well as the remaining challenges will be discussed in this part.

S01: Bio-medical and Acoustic Signal Processing

Room E (309)
Chair: Konrad Jędrzejewski (Warsaw University of Technology, Poland)
13:50 Multiscale Detrended Cross-Correlation of EEG and RR Intervals During Focal Epilepsy
Ivan Seleznov (Osaka University & National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Japan); Ivan Kotiuchyi (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" & Ciklum, Ukraine); Anton Popov (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine); Akio Nakata (Osaka University & Union Tool Co., Japan); Volodymyr Kharytonov (TMO Psychiatry, Ukraine); Miki Kaneko and Ken Kiyono (Osaka University, Japan)

To evaluate the interaction between epilepsy-related brain activities and heart rate dynamics, we analyze electroencephalogram (EEG) and heart rate variability (HRV) using detrended moving-average cross-correlation analysis (DMCA) for pre- and postictal periods in subjects with focal epilepsy. The DMCA was applied to the 5 min. long periods of heart beat-to-beat intervals and power spectral density time series, located 5 and 10 min. before and after seizures. Statistically significant differences were found in the cross-correlation in (delta) (0.5-4 Hz) band for the periods before and after seizure, which shows the correlative coupling between RR intervals that (delta) band activity is changing while approaching to and after the epileptic seizure, that suggests the presence of nonlinear mechanisms of interactions between low-band EEG and RR intervals in observed periods of brain and heart activity in epilepsy. In contrast, no statistically significant changes could be observed while comparing brain-heart coupling in preictal periods. The wide scatter of distributions of all frequency bands in periods before epileptic seizure suggests that the multiscale cross-correlation coefficient is highly subject dependent and needs further subject-specific analysis for this particular period with longer time series.

14:10 EEG Signal Analysis for Human Verification Using Neural Networks - Preliminary Experimental Results
Renata Plucińska and Konrad Jędrzejewski (Warsaw University of Technology, Poland); Marek Waligóra and Urszula Malinowska (Nencki Institute of Experimental Biology, Poland)

The results of experimental studies on human verification by EEG signal analysis are presented in this paper. The developed approach was investigated using 220 EEG examinations recorded from 11 people, 20 examinations for every person. The first fifteen examinations were used for neural networks learning, and the rest 5 examinations for their evaluation. The EEG signals recorded for every person were separated into short segments for which feature extraction was conducted. After that, the features were introduced to a feedforward neural network, trained by the Levenberg-Marquardt backpropagation algorithm. We focused on spectral features, calculated separately for four EEG frequency bands. After the network training, we evaluated our approach by introducing at the network inputs the examinations from other days that were not presented to the neural network before. The results for two electrode sets: placed on the central (C3, Cz, C4, C3CzC4) and centro-occipital (C3, C4, O1, O2, C3C4, O1O2, C3C4O1O2), using accuracy, sensitivity, specificity, and precision measures, are presented and discussed in this paper. Regardless of the number of electrodes, almost all mean metrics were above 0.70 and increased with the number of electrodes from which the EEG signal features fed the neural network. One of the aims of this work was to investigate, whether temporary, daily changes in EEG signals would prevent people from being recognized.

14:30 Feasibility Study on the Use of Heart Rate Variability Parameters for Detection of Atrial Fibrillation with Machine Learning Techniques
Szymon Buś and Konrad Jędrzejewski (Warsaw University of Technology, Poland); Tomasz Krauze (-Intensive Therapy, University of Medical Sciences in Poznan, Poland); Przemyslaw Guzik (University of Medical Sciences in Poznan, Poland)

The paper is devoted to development and studies on atrial fibrillation (AFib) detection in electrocardiogram (ECG) using digital signal processing (DSP) and machine learning (ML). The goal of this pilot study was to find the DSP and ML methods suitable for the AF detection in real-time in short single-lead ECGs containing 32 consecutive cardiac cycles. Three simple Heart Rate Variability (HRV) parameters from the time domain analysis were calculated and used as features for ML algorithms. Binary decision tree and shallow neural network were used for classification, and the impact of metaparameters on the performance of the AFib detection algorithms was investigated to determine the lower limit of their required complexity. In the neural network, different numbers of hidden neurons and different activation functions were examined. In the decision tree, different limits on the maximum number of splits were set. For both AFib detection algorithms, various sets of HRV-based features were tested. With neural network (two features, ten hidden neurons), 98.3% accuracy, 97.1% sensitivity and 99.1% specificity were obtained. With decision tree (two features, seven splits), 96.9% accuracy, 96.3% sensitivity and 97.4% specificity were reached. This study shows the usefulness of neural network and decision tree algorithms for the detection of atrial fibrillation using the simplest HRV parameters. The use of more complex HRV parameters in AFib detection with the proposed ML algorithms requires further investigation.

14:50 Adaptive Active Noise Cancelling System for Headphones on Raspberry Pi Platform
Piotr Sykulski and Konrad Jędrzejewski (Warsaw University of Technology, Poland)

In recent years, a lot of headphones with active noise control systems have appeared on the consumer market. Most of these systems make use of specialized digital signal processors designed specifically to process audio signals in real-time. In this article, we present an active noise control headphone system based on the general use Raspberry Pi computer with ARMv8 processor and Linux operating system. This platform is not designed for performing realtime digital signal processing neither in terms of hardware nor software. But with the help of techniques such as multithreading and low-level audio programming in Linux, we created a real-time active noise cancelling system and compared it in terms of noise reduction with different commercial headsets.

15:10 Vital Parameters Detection of Non Stationary Human Subject Using MIMO Radar
Manjunath Thindlu Rudrappa, Reinhold Herschel and Peter Knott (Fraunhofer FHR, Germany)

In this paper, we propose an algorithm based on complex empirical mode decomposition with principle component analysis (CEMD-PCA) which estimates the vital parameters of stationary and moving person, irrespective of the orientation in an extreme clutter and multipath environment. The results obtained were compared against pulse oximeter(PULOX PO-300) and fitbit wrist band and the average error of heart beat was found to be less than 1%.

Monday, October 5 15:55 - 17:35

S02: Advanced Signal Processing

Room E (309)
Chairs: Konrad Jędrzejewski (Warsaw University of Technology, Poland), Piotr Samczynski (Warsaw University of Technology, Poland)
15:55 Estimation of the Harmonic Signal Parameters in the Complex Interferences
Ihor Prokopenko, Ihor Omelchuk, Alina Osipchuk and Yuliia Petrova (National Aviation University, Ukraine)

Methods for estimation of the harmonic signal parameters with complex non-Gaussian interference are developed. Accuracy and robustness parameters estimations are investigated by Monte-Carlo technique.The modeling of the work of this processing methods is carried out.

16:15 Time Shift and Phase Offset Estimation for Lightweight Multichannel SDR Receiver
Gustaw Mazurek (Warsaw University of Technology, Poland)

The use of small and low-power general-purpose Software Defined Radio (SDR) receivers seems to be very attractive solution in a context of moving platform for multichannel RF signal acquisition, required in and Passive Coherent Location (PCL), passive SAR, and in digital beamforming. These receivers, however, are designed mainly for single channel operation and additional hardware components and software algorithms are required to perform coherent signal acquisition. A simple calibration procedure for time shifts and phase offsets, based on cross-correlation between the signals with superimposed training sequences, has been already presented as a solution. However, the results of processing the real signals acquired in the field have shown that this simple method cannot be applied in case of receiving strong signals from the antennas due to misleading phase offset estimates. In this paper, we propose a more advanced algorithm of estimation that employs matched filtering. This method has been validated by processing hours of four-channel recordings with DAB, DVB-T and FM broadcast signals prepared for PCL processing.

16:35 Frequency Modulated Chaos Shift Keying System for Wireless Sensor Network
Anna Litvinenko, Arturs Aboltins, Dmitrijs Pikulins and Janis Eidaks (Riga Technical University, Latvia)

This paper presents a new concept of frequency modulated chaos shift keying system (FM-CSK) based on a modified Chua's circuit and chaotic synchronization. The proposed solution can be potentially used for communication systems in wireless sensor networks (WSN), where the physical security of data transmission, efficient modulation and demodulation, analog-digital and digital-analog conversion is of high importance. The mathematical model of the drive-response system based on a modified Chua's circuit, described by a system of four differential equations and nonlinear function, is a core of the offered communication system. The FM-CSK system concept is validated by MATLAB/Simulink simulation with a baseband additive white Gaussian noise (AWGN) channel. Approaches for the performance enhancement of the communication system are discussed and validated.

16:55 Application of Turbo Codes for Data Transmission in UWB Using PSK Modulated Complex Wavelets
Boris A. Assanovich (Yanka Kupala State University of Grodno, Belarus)

The use of binary and non-binary turbo codes to improve the performance of UWB data transmission with the use of complex wavelet signals with Phase Shift Keying (PSK) of different dimension is proposed. Simulation results demonstrating the efficiency of turbo codes used to improve the noise immunity of BPSK and 8PSK data transmission over the AWGN channel are presented.

17:15 A Proper Approximation of Filter Transmittance for HFB System Design
Boguslaw Szlachetko and Zbigniew Świętach (Wroclaw University of Science and Technology, Poland)

A new approach to designing a hybrid filter bank (HFB) system has been demonstrated. The paper shows the relationship between the analogue analysis filter bank and its discrete equivalent counterparts. Equivalence conditions have been determined and a new method of approximation of filter characteristics has been demonstrated. It limits the number of FIR filter coefficients necessary to implement a synthesis filter bank. This is an extremely important aspect from a practical point of view, because it allows the implementation of a synthesis filter bank in programmable VLSI circuits. A rigorous method of testing the HFB system during a design process using dedicated band-pass signals has also been developed.

I-T2B: Waveform optimization part B

Waveform optimization techniques for radar systems
Mohammad Alaee-Kerahroodi,Bhavani Shankar M. R.
Room: Online only
Chair: Jacek Misiurewicz (Warsaw University of Technology, Poland)

This is the second part of the tutorial.

Tuesday, October 6

Tuesday, October 6 10:35 - 12:15

IRS/SPW Plenary Session

Room A (237)

Radar for Tomorrow's World - A few case studies

(Daniel O'Hagan, Stefan Brüggenwirth, Fraunhofer FHR)

Radar History - Untold Stories of Radar Development in Central and Eastern Europe

(Piotr Samczynski, Warsaw University of Technology)

Tuesday, October 6 12:15 - 13:50

P-02: Posters 2

Rooms: Room E (309), Room F (315)
Chairs: Krzysztof Czuba (Warsaw University of Technology, Poland), Boris Levitas (Geozondas Ldt., Lithuania)
Wireless IoT Communication Module with Low Power Consumption for a Soil Moisture and Salinity Sensor
Adrian Łostowski, Arkadiusz Lewandowski and Michal Abramowicz (Warsaw University of Technology, Poland); Andrzej Wilczek and Agnieszka Szypłowska (Institute of Agrophysics, Polish Academy of Sciences, Poland); Marcin Kafarski (Institute of Agrophysics, Polish Academy of Sciences & The State School of Higher Education in Chełm, Poland); Wojciech Skierucha (Institute of Agrophysics, Polish Academy of Sciences, Poland)

The purpose of this work was to create a wireless Internet-of-Things (IoT) communication module for a device for measuring soil parameters in a field environment. The module uses the Low Power Wide Area Network (LPWAN) technology to exchange data with an external database. This paper contains information about design assumptions, research on the existing long-range communication technology solutions and description of the design process.

Determining a Matched Load Response of Six-Port Reflectometer Using Partially Known Calibration Loads
Kamil Staszek (AGH University of Science and Technology, Poland)

This paper presents a method for determining a six-port reflectometer's response to a matched load with the use of partially known calibration loads. It utilizes nine calibration loads which can be of unknown magnitude and phase, however, three of them must exhibit magnitudes possibly close to each other with a reasonable phase separation. The algorithm was tested with the use of an exemplary broadband six-port reflectometer operating over the frequency range from 2.5 GHz to 3.5 GHz. The power values obtained using the proposed method are very close to those directly measured by the six-port reflectometer with a broadband matched load from precision calibration kit connected as DUT.

Estimation of Comb Structure Capacitance for MEMS Inertial Sensors
Jacek Nazdrowicz and Adam Stawiński (Lodz University of Technology, Poland); Andrzej Napieralski (Technical University of Lodz, Poland)

In this paper authors presents very important problem of estimation capacitance structures used in MEMS sensors. The importance comes from fact that during operation, inertial sensors which are build of solid materials deform because of external forces acting on them. Therefore typical capacitor consists of some electrodes changes its value because electrode changes its orientation. Here authors use analytical and FEM results to compare capacitance results and impact on accuracy of measurement.

Geometry Details of Inertial Microsensors Influenced on Their Performance
Jacek Nazdrowicz and Adam Stawiński (Lodz University of Technology, Poland); Andrzej Napieralski (Technical University of Lodz, Poland)

In the paper authors take into considerations results of analysis both MEMS accelerometers and gyroscopes under performance that can be changed by some geometry details modifications. Authors considers different types of shapes of springs to show, how they influence on total device operations.

Integrated Correlator with Rat-Race Hybrids for the WiFi Band Quadrature Microwave Frequency Discriminator
Adam Rutkowski (Military University of Technology, Poland); Hubert Stadnik (Military University of Aviation, Poland)

The instantaneous frequency measurement (IFM) devices are very useful for very fast measurement of current frequency value of microwave signals even if their duration is extremely short. A fast measurement of temporary value of frequency is based on evaluation of a phase difference of signals propagating through the microwave transmission lines having unequal but known lengths. This phase difference is provided by so-called proportional phase shift forming network (PPhSFN), and the phase difference measurement is performed by the microwave phase discriminator (MPhD). The main segment of MPhD is a microwave six-port made of several microwave splitters and combiners. The paper presents integrated version of microwave correlator containing PPhFS and six-port on a single printed circuit board (PCB). The developed device was designed to work over WiFi frequency range. The frequency bandwidth of the made correlator reaches nearly one octave.

The Performance Analysis and Optimization of IGLUNA 2019 Lunar-Analogue Longwave Transmitting System
Tomasz Aleksander Miś (Warsaw University of Technology & Institute of Radioelectronics and Multimedia Technology, Poland)

The paper presents the attempt of finding optimal solutions regarding the emission type, basic emission parameters and channel capacity for the trans-ice longwave communication channel, as deployed in June 2019 during the first edition of the IGLUNA programme - a simulated lunar habitat in the Klein Matterhorn glacier in Switzerland. The experimental system is compared to lowland high-power longwave systems, the optimal emission type for different conditions (modulation index, demanded presence of carrier) is presented and the maximum possible channel capacity in relation to the achieved signal readability is calculated.

Analysis on Damage Efficiency of High Power Microwave to Marine Navigation Radar
Zeyu Xin (Naval Research Academy, China)

High power electromagnetic pulse weapon (EMP) is a new kind of weapon which can directly transmit high power microwave to damage the target electronic equipment. This paper introduces the damage mechanism of high power microwave, describes the working principle of the marine navigation radar and the front-end structure of receiver. The damage ability of high power microwave to marine navigation radar receiver is calculated and analyzed, at the same time, the damage range of high power microwave to marine navigation radar is given under the different states of power center and power edge.

An Additive Manufactured K-Band Waveguide Coupler and K-Band Antennas in SLM-Technology
Christopher Beck and Jasmin Gabsteiger (Friedrich-Alexander-University Erlangen-Nuremberg, Germany); Marco Dietz (Friedrich-Alexander-University Erlangen-Nuremberg & Institute for Electronics Engineering, Germany); Christian Scheitler (Friedrich-Alexander-University Erlangen-Nuremberg, Germany); Robert Weigel (Friedrich-Alexander Universität Erlangen-Nürnberg, Germany); Amelie Hagelauer (Technical University of Munich, Germany)

3D printing offers a very innovative opportunity for creating cheap or special rf-components like waveguides, couplers or antennas. However, these components require electrical conductive materials to be built of. Therefore, selective laser melting of metal powder is also an attractive production technology. In this paper, horn antennas and a directional coupler at 24 GHz are shown and their production technologies are compared. By presenting a K-band branchline coupler it is shown that selective laser melting has some advantages over 3D printing.

Passive Acoustic Radar System for Flying Vehicle Localization
Yevhen Chervoniak, Rustem Sinitsyn and Felix J Yanovsky (National Aviation University, Ukraine)

The proposed radar system is characterized by cheap equipment (omnidirectional microphones, a computer for signal processing, and peripherals) and by the special algorithm of signal processing, which has been developed and tested during full-scale experiments with real targets: aircrafts and UAVs. A key feature of the developed algorithm is a fast method of estimation of wideband ambiguity function. In addition, the algorithm provides visualization of the target location process using the projection of the ambiguity function onto a coordinate plane. The developed radar system is proposed to use for aircraft noise management in the vicinity of an airport and for localization of small-sized flying vehicles. The results of the experiments are presented in the paper

The IoT Weightless System Vulnerability to Jamming - a Measurement-Based Case Study
Kamil Staniec (Wroclaw University of Science and Technology, Poland); Michał Kowal (Wrocław University of Science and Technology)

the Weightless(-P) is a narrowband communication system designed for the Internet of Things, along with some other counterparts such as Lora and SigFox. As a system dedicated specifically for long-range operations, it possesses a considerable processing gain for the energetic link budget improvement and a remarkable immunity to multipath and interference. The paper describes outcomes of measurement campaign during which the Weightless(-P) performance was tested against variable interference, generated in an anechoic chamber. Results allow to quantitatively appraise the system behavior under these harsh conditions with respect to the modulation and the resultant bandwidth. The outcomes allowed to propose recommendations regarding the use of particular system settings to optimally fit environmental conditions. Finally, the paper provides an analysis in which CNIR is converted to the Interference Margin and its value is checked against an intentional jammer approaching the base station to verify how different Weightless operational modes respond to electromagnetic jamming.

An Efficient Simulation Method of Massive MIMO Antenna Arrays Used in 5G Mobile Phones
Damian Szypulski (Gdansk University of Technology, Poland); Grzegorz Fotyga (Gdańsk University of Technology, Poland); Michal Mrozowski (Gdansk University of Technology, Poland)

This paper deals with a model-order reduction method, applied to speed-up the simulations of MIMO antenna arrays, performed by means of finite element method. The obtained results of the numerical tests show that the described technique is reliable and considerably increases the efficiency of the standard finite element method.

Radar-based Detection of Birds at Wind Turbine Installations: Results from a Field Study
Jochen Moll, Ashkan Taremi Zadeh and Moritz Mälzer (Goethe University Frankfurt am Main, Germany); Jonas Simon (Goethe-University Frankfurt, Germany); Viktor Krozer (Goethe University of Frankfurt am Main, Germany); Christian Kramer, Herbert Friedmann and Andreas Nuber (Wölfel Engineering GmbH + Co. KG, Germany); Manfred Dürr (Volta Windkraft GmbH, Germany); Dimitry Pozdniakov (Hubner Germany, Germany); Rahmi Salman (HF Systems Engineering GmbH & Co. KG & Hübner Holding GmbH, Germany)

Radar technology in the mm-wave frequency band is a promising approach for the detection of birds and bats at wind turbine installations in order to reduce fatalities either by direct collision of the animals with the rotor blades or through barotrauma. In this paper we present an FMCW radar system with 1 Tx and 9 Rx operating in the Ka-band from 33.4 GHz to 36.0 GHz. The radar system is installed at the tower of a 2MW wind energy plant about 95m above ground. The data acquisition is described in this paper including the real-time processing pipeline, followed by exemplary bird detections. Also the detection of drones, serving here as an artificial flying object with a defined flight path, will be presented and discussed. Validation is performed by concurrent camera recordings.

Microwave Radiometer Against of the Stealth
Oleksandr Denisov (Harbin Institute of Technology, China)

The specially calculated reflecting surfaces with Stealth invisible quality designed for to avoid vertical ones for ra-dar beam and to reflect beam "to the milk". Stealth coatings with the full absorption of the micro-wave radar radiation on his surfaces are blackbody and reasonable to consider it as the matched loading with the corresponding physical outside temperature. A lot of news and minding has place about the Stealth application especially in the contest of an airplanes. Possi-bility to avoid the disclosing of an airplane on the big dis-tances is main advantage of this Stealth "addition" against of the radars. But in much cases for the microwave radi-ometers this Stealth coating can be good for the real deter-mination by the passive devices because their job based on the measuring the radio-brightness contrast between Stealth objects and the background of the environment/s (sky is cold, Earth is warm). The aim of this short report - to present some under-standing about to use radiometer about Stealth objects

Influence of Dielectric Overlay Permittivity on Size and Performance of Miniaturized ESPAR Antenna
Mateusz Czelen (Gdansk University of Technology, Poland); Mateusz Rzymowski (Gdansk University of Technology & WiComm Center of Excellence, Poland); Krzysztof Nyka and Lukasz Kulas (Gdansk University of Technology, Poland)

In this paper, influence of dielectric overlay permittivity on miniaturized ESPAR antenna parameters is presented. ESPAR antenna is a low-cost and energy-efficient way to implement beam steering capability to a node and improve network performance. The antenna size reduction is obtained by embedding its active and passive elements in ABS based materials of relative permittivity equal to 4, 5.5 and 7.5 in order to achieve network node compact size. Simulation results of three optimized for particular dielectric constant designs are presented and tradeoff between dimensions reduction and performance is discussed. Selected materials and antenna design are dedicated to be fabricated in 3D print technology, so can be easily prototyped.

Influence of Salt Mist on Microwave Propagation
Bing Zhang, Wenyi Zhang, Zhuo Chen, Fuyu Luo and Haibin Zhou (Systems Engineering Research Institute, China)

Microwave propagation in the atmosphere is affected by air temperature, humidity, attitude, and other factors, there are many related researches on the above influencing factors, but relatively few researches are attached on the microwave propagation characteristics under the condition of sea salt mist. It is of great significance to clarify the law of microwave propagation attenuation under the condition of salt mist for the microwave applications such as maritime communication and radar detection. Firstly, the parameters of the salt mist environment are analyzed and modeled in this paper, and it is driven that the relationship between the concentration of the salt mist and the dielectric constant of the atmosphere. Then, based on the FDTD numerical analysis, the microwave propagation law under different concentration of the salt mist is calculated and compared with the theoretical analysis results.

Experimental Setup with a Compact Vector Network Analyzer, RGB-D Sensor, and Linear Drive Modules for Imitation Modeling of Microwave Personnel Screening System in Motion
Andrey Zhuravlev (Bauman Moscow State Technical University, Russia); Ge Dong (Tsinghua University, China); Vladimir Razevig (Bauman Moscow State Technical University, Russia); Margarita Chizh (Bauman Moscow State Technical University & Remote Sensing Laboratory, Russia)

This paper describes an experimental setup that was built to imitate the performance of the new microwave personnel screening system, in which synthetic aperture is formed due to relative motion of the subject in the vicinity of a sparse antenna array. The RGB-D sensor captures a color image and a depth map of a still scene with a mannequin, while the compact network analyzer, which is moved by a two-dimensional scanner, acquires the samples of the radar signal reflected from the same scene. The mannequin is moved by the third linear drive module to another position, creating the next still scene to be scanned and captured similarly during a single experiment. The collected data is stored for the following joint processing. Preliminary radar images of concealed objects on mannequin are obtained and demonstrated. The use cases of the experimental setup are described toward designing a sparse electronically switched antenna array: finding the required number of the channels, choosing proper frequency band and bandwidth, antenna type, and others.

Novel Algorithm for Position Estimation of Handheld Ground-Penetrating Radar Antenna
Piotr Kaniewski and Tomasz Kraszewski (Military University of Technology, Poland)

The paper presents an algorithm for positioning of a handheld ground-penetrating radar antenna. The algorithm has been elaborated for processing range measurements in a currently developed positioning system based on ultrawideband radio modules. Such a system is planned to be used as a support for a handheld ground-penetrating radar as continuous and accurate positioning of its antenna can facilitate creation of high-quality subsurface images. The paper contains a short description of the developed system and focuses on its Kalman filter used for positioning. Here, we consider using a novel dynamics model, based on a pendulum motion model, which provides a more adequate description of the antenna's dynamics than abstract position-velocity or position-velocity-acceleration models, commonly used in navigation systems. Chosen simulation results which support this claim are presented.

An X-Band FMCW Radar Demonstrator Based on an SDR Platform
Grzegorz Dąbrowski (Warsaw University of Technology, Poland); Krzysztof Stasiak (Warsaw University of Technology); Jedrzej Drozdowicz, Damian Gromek and Piotr Samczynski (Warsaw University of Technology, Poland)

The paper presents an implementation of analog front-end designed for use in an X-band Frequency Modulated Continuous Wave (FMCW) radar system. Fine range resolution is achieved because of using more than 1 GHz of bandwidth, which is achieved through application of frequency multipliers. The system has been tested in laboratory as well as in a real environment using a USRP (Universal Software Radio Peripheral) device for both, waveform generation and beat signal digitization.

Running Gaussian Average as Method of Adaptive Background Subtraction in Radar Applications
Boris Levitas (Geozondas Ldt., Lithuania); Michail Drozdov (Lithuania)

Background subtraction is usual step in impulse radar applications. It is used to not only remove clutter - reflections of all the stationary, mostly irrelevant objects, but also crosstalk. Various techniques are used for clutter/crosstalk removal. These are briefly over-viewed. Focus of this paper, however, is on proposed method of adaptive background subtraction, which is statistical real time method based on developments of entirely different field (Computer Vision)

Non-Destructive Testing of the Rails Rolling Surface and Joints with Synthetic Aperture Radar
Margarita Chizh (Bauman Moscow State Technical University & Remote Sensing Laboratory, Russia); Andrey Zhuravlev and Vladimir Razevig (Bauman Moscow State Technical University, Russia); Sergey Ivashov (5, 2nd Baumanskaya str., Russia & Bauman Moscow State Technical University, unknown)

This paper explores the possibility of using a synthetic aperture radar to detect surface defects of rails and measure parameters of rail junctions. Experimental data were obtained with a setup consisting of a two-coordinate electromechanical scanner and a radar emitting continuous stepped-frequency signal in the range of 22.2 - 26.2 GHz. As an object of study, fragments of narrow-gauge rails were used, in which surface defects of various sizes and depths were created. A phase method for radar signal processing based on the backward propagation of its wavefront was developed, with which radar images of rails with defects were obtained. Experimental studies have shown that the developed rail surface imaging method allows detecting the presence and measuring characteristics of cracks on the tread, cleavages of the railhead, the width of the joint gap and the magnitude of the vertical step at the rails joint. High accuracy and sensitivity of the radar method, confirmed with the contact measurements matching, allow using it for fast noncontact diagnostics of the rails condition.

Building Extraction from PolSAR Image Based on Deep CNN with Polarimetric Features
Xiaofang Xu (Harbin Institute of Technology, Singapore); Yilong Lu (Nanyang Technological University, Singapore); Bin Zou (Harbin Institute of Technology, China)

For polarimetric synthetic aperture radar (PolSAR) images, building extraction has been a challenging topic for long time in applications of land-use and land-cover analysis. Due to similar structures of buildings and such vegetation as forest, they often exhibit similar PolSAR scattering characteristics that are often difficult to distinguishing. Recently, deep Convolutional Neural Network (CNN) has been widely investigated for image processing with many promising results. This paper proposes a method that combines polarimetric features with the CNN network to realize the comprehensive utilization of polarimetric and contextual information of PolSAR data for the extraction of building areas in PolSAR images. Comparison experiments on both ESAR and EMISAR L-band PolSAR datasets show that the proposed method can generate better results for building extraction.

Ground Moving Target Parameter Estimation and Track Reconstruction of Single-Channel CSAR
Jianpeng Li, Daoxiang An, Beibei Ge, Wu Wang, Leping Chen and Zhimin Zhou (National University of Defense Technology, China)

Recently, Interest on circular SAR (CSAR) has been increased in researchers. The sub-aperture division and trajectory reconstruction of ground moving target are important parts of the CSAR research. Firstly, the CSAR sub-aperture is fitted by a second-order curve, which achieves better focusing quality than the traditional fitting method. Next, parameter estimation accuracy is improved of each CSAR sub-aperture. Finally, the trajectory of ground moving target is reconstructed. Simulated data are used to prove the effectiveness and correctness of the proposed method.

An Effective Method of Bridge Detection Based on Polarimetric CSAR
Xiangcheng Tan, Daoxiang An, Leping Chen, Yuxiao Luo and Zhimin Zhou (National University of Defense Technology, China); Dizhi Zhao (Southwest China Research Institute of Electronic Equipment, China)

This paper introduce an approach for detecting bridges when the difference in radar echo energy is not obvious. It consists of two steps: extracting targets with high anisotropy and detecting bridge. Firstly, by image segmentation based on the feature of multi-aperture polarimetric entropy, we get targets with high certainty. And then we utilize edge detection to extract straight line segmentations. Finally, the parallel straight line segmentations which meet the bridges' geometric properties are selected as bridges. The proposed approach has been test with polarimetric CSAR data, and the experimental results show that our method can detect bridges effectively.

Novel ISAR Range Alignment via Minimizing Entropy of the Sum Range Profile
Yuan Liu and Lu Wang (Nanyang Technological University, Singapore); Hongwei Liu (National Laboratory of Radar Signal Processing, China); Hui Bi (Nanjing University of Aeronautics and Astronautics, China); Guoan Bi (Nanyang Technological University, Singapore)

A novel global range alignment technique for inverse synthetic aperture radar (ISAR) imaging is presented in this paper. Instead of requiring the parametric model for the relative offset amongst the range profiles, the alignment is investigated from the viewpoint of optimization, where the minimization of the entropy of the sum range profile (SRP) is employed as the optimization criterion. The precise range alignment within a range cell can be achieved by implementing the proposed algorithm. With respect to the existing global method, the proposed one does not require any interpolation operation and multidimensional search operation. Experimental results based on real measured data of maritime non-cooperative target validate the effectiveness and the efficiency of the proposed algorithm.

Lq-norm Regularization Based SAR Image Feature Enhancement
Hui Bi, Jiarui Deng, Liping Wang and Jie Yin (Nanjing University of Aeronautics and Astronautics, China); Guoan Bi (Nanyang Technological University, Singapore)

In this paper, a general iterative thresholding algorithm (ITA) for solving Lq-norm regularization problem is proposed to achieve the synthetic aperture radar (SAR) image feature enhancement. Compared with the reconstructed images by matched filtering (MF) based method, the proposed method recovered images have lower sidelobes, reduced noise and clutter, which improves the image quality effectively. Experiments basedon Gaofen-3 (GF-3) SAR complex image data are used to validate the proposed method.

Study on Motion Compensation Method for W-Band UAV MISAR Real-Time Imaging
Hui Wang (Key Laboratory of Millimeter Wave Imaging Technology & Shanghai Institute of Satellite Engineering, China); Zhaoyang Zeng (Shanghai Insititute of Satellite Engineering, China); Man Jiang and Shichao Zheng (Shanghai Academy of Spaceflight Technology Beijing R&D Center)

A real-time imaging right side-looking synthetic aperture radar (SAR) motion error model is established in this paper, and a center beam motion compensation algorithm based on inertial navigation and phase gradient autofocus (PGA) motion error estimation is adopted. The algorithm compensates the echo envelope and phase separately, and uses the inertial navigation data to straighten the echo envelope with motion error, and then uses the phase gradient autofocus algorithm to estimate and compensate the phase error of the echo. In view of the characteristics of real-time imaging, such as short time, large amount of computation and limited computing resources, the algorithm cancels the steps of range migration correction, projects the motion error vector on the slant plane, and completes envelope correction and phase error estimation. The method has a small amount of calculation and can meet the resolution requirement. The simulation results show that it can obtain high quality SAR images.

Target Tracking in Blind Range of Radars with Deep Learning
Chandrakanth V (Defense Research and Development Organization, India)

Surveillance radars form the first line of defense in border areas. But due to highly uneven terrains, there are pockets of vulnerability for the enemy to move undetected till they are in the blind range of the radar. This class of targets are termed the 'pop up' targets. They pose a serious threat as they can inflict severe damage to life and property. Blind ranges occur by way of design in pulsed radars. To minimize the blind range problem, multistatic radar configuration or dual pulse trans- mission methods were proposed. Multistatic radar configuration is highly hardware intensive and dual pulse transmission could only reduce the blind range, not eliminate it. In this work we propose, elimination of blind range using deep learning based video tracking for mono static surveillance radars. Since radars operate in deploy and forget mode, visual system must also operate in a similar way for added advantage. Deep Learning paved way for automatic target detection and classification. However, a deep learning architecture is inherently not capable of tracking because of frame to frame independence in processing. To overcome this limitation, we use prior information from past detections to establish frame to frame correlation and predict future positions of target using a method inspired from CFAR in a parallel channel for target tracking.

The Performance of a Linear STAP Processor for Radar Signal Processing
Anna Ślesicka and Adam Kawalec (Military University of Technology, Poland)

Space-Time Adaptive Processing (STAP) enables detection of a moving object against the background of strong interference by radar. The fundamental principles of the STAP technique for radar signal processing in particular, detecting slow moving objects against interference. are presented in this paper. The parameter (improvement factor), determining the performance of any linear processor was analysed. A disturbance model has been proposed, for which the dependence determining the performance of any STAP processor has been derived. The results of simulation of the optimal processor performance against the suboptimal processor for three different values of noise to interference ratios in reference channels were presented in the paper.

Some Remarks on Maximum Likelihood Estimation in Alpha-Stable Environment
Zbigniew Gajo (Warsaw University of Technology, Poland)

This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed α-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of α-stable distributions is used.

Experimental Evaluation of PA Digital Predistortion Based on Simple Feedforward Neural Network
Dawid Rosolowski and Konrad Jędrzejewski (Warsaw University of Technology, Poland)

The paper presents the results of experimental studies on evaluation of employing digital predistortion based on simple feedforward neural network for linearization of microwave power amplifiers. The influence of the number of neurons in the hidden layer, the number of delayed input samples at the input of neural network, as well as the number of samples taken for learning a neural network were studied and discussed in the paper. The main goal of this work was to establish the minimal configuration of the neural network which can be used for linearization of power amplifiers excited by wideband and high PAPR signals, e.g. LTE. The results obtained for neural networks were compared with the results obtained for the conventional predistortion method based on memory polynomial.

Tuesday, October 6 15:55 - 17:35

S-T1: SPW Tutorial - moved from Monday to Tuesday

Room C (213)
Chairs: Konrad Jędrzejewski (Warsaw University of Technology, Poland), Piotr Samczynski (Warsaw University of Technology, Poland)
15:55 Medical Imaging: From Systems to Signal and Image Processing
Denis Kouamé (University of Toulouse, France)

The current demands and new challenges in health provide to medical imaging a central position in the investigation techniques in health and medicine. Medical imaging can really be mastered only by considering the issues that lie throughout the production and interpretation chain of images. Recently, the progress in medical imaging has led to the development of sophisticated devices which have greatly improved medical practices. High resolution or high speed devices are typical example of such systems to cite few. However, these systems often, needs compromise between their typical features (for instance a compromise between high resolution and the speed of imaging). These compromises can be broken by using some appropriate and recent signal and image processing techniques. In this tutorial, we will re-visit the main medical imaging systems with some specific focuses and show the contribution of signal and imaging processing in some selected topics.

16:25 Post-processing of 4D MRI Data for Automatic Segmentation of Large Vessels and Investigation of Blood Flow Characteristics
Igor Nesteruk (Institute of Hydromechanics National Academy of Sciences of Ukraine & Igor Sikorsky Kyiv Polytechnic Institute, Ukraine)

Magnetic resonance imaging (MRI) using three-dimensional velocity encoding phase contrast methods offers the opportunity to quantify time-resolved 3D blood flow patterns in vivo. This novel imaging technique allowed unraveling most of the fluid-dynamic patterns inside big vessels (e.g., aorta) and heart chambers (ventricles, atria), both in physiological and pathological conditions. 4D

Flow MRI data can have a breakthrough impact on the evaluation, risk stratification and surgical planning in hemodynamic-related pathologies, e.g., cardiac valve diseases, arterial stenos or insufficiency, dilation, dissection or coartaction. However, its applicability in clinics is limited due to the complex post-processing required to extract the information and the difficulty to synthesize the obtained data into clinical useful parameters. One problem is to extract the points located inside the vessel from the regular MRI grid, since the level of signal outside the aorta can be comparable and even grater than inside the vessel. For the time averaged data, the level of noise is smaller but can still exceed the values of velocity components inside the vessel. On the other hand, the known methods of vessel segmentation usually need manual selecting the points located on or near to the vessel boundaries on each of MRI slices and are very time and labour expensive. In this lecture an original algorithm, which automatically selects the points located inside the vessel will be presented. The method is based on the properties of the of the steady Hagen-Poiseuille flow and allows to visualize the flow patterns at different flow sections and different moments of time, calculate the radius and area of the vessel cross sections, the velocity components, flow rates, flow jet angles etc. and estimate the wall shear stresses. To segment the aorta or the pulmonary artery we need to select only one point located inside the vessel. The developed MATLAB code needs 10-12 seconds of PC time to select the points of the MRI grid located near one vessel cross-section and calculate the parameters of the blood flow. Known algorithms need to select some points (5-6) on the vessel boundary at every MRI data slice and yield similar vessel shapes. A software tool is presented which analyzes the row data and provides information along the whole vessel, between two selected cross-sections and in the vicinity of the selected points. We analyzed 25 datasets. We use MATLAB software for post-processing DICOM files, developing the codes and creating a user-friendly interface. The results of calculations with the use of instant and time averaged velocity components will be presented. Currently the 4D MRI data ensures large enough number of points in the aorta or the ventricle cross section to analyze the flow patterns and their changes in time. In particular, we used phase contrast MRI data, which provides time dependent 3 components of the blood flow velocity with the space resolution of approximately 2 mm and time resolution of 10-20 time frames during one heart bit. These characteristics ensure large enough number of points in the aorta, pulmonary artery and the heart in order to segment the lumen and to analyze the flow patterns.

Nevertheless, this time and space resolution can limit the estimation of some important markers (e.g., vorticity, shear stresses) due to inaccurate velocity derivatives computations. Such hemodynamic markers have been linked to degenerations of the endothelial tissue in bicuspid aortic valve diseases, as well as to right ventricle diastolic disfunction, in searching for novel predictors of pathology worsening. In the lecture some methods to understand the accuracy of shear stresses estimation in big vessels (e.g., aorta, pulmonary arteries) will be proposed. In particular, we will also introduce a new accuracy measure for the shear stress and calculate the possible discrepancy with respect to the local direction of the vessel. Also, in vivo blood flow can be determinant in assessing peculiar hemodynamic features or patterns, such as cavitation phenomena. Cavitation assumes a role in depicting non-physiological blood flow due to separation regions and vortex formation. Indeed, the cavitation phenomena was revealed in artificial mitral heart valves (or mechanical heart valves (MHV)) with the use of Doppler ultrasonography and the corresponding signals were registered during the valve closure. One of the reasons for cavitation to occur was assumed to be the formation of vortexes, which low core-region pressure allows this phenomenon to occur. Thus, an accurate quantification of vorticity and vortex region can indicate possible cavitation phenomena. By contrast, no cavitation was revealed in natural human heart valves possibly due to the compliance of the natural leaflets, which reduces the pressure drop and makes the cavitation impossible. According to these evidences and assumptions, the analysis of flow peculiarities in the heart chambers may be pivotal to the understanding of such phenomena; in such a way, 4D Flow could become a novel tool to visualize and quantify in vivo the performances of artificial devices, with respect to physiological blood flow patterns. In this lecture a method to estimate possible cavitation inception in heart chambers from accurate vorticity measures will be proposed. The results of calculations with the use of user-friendly interface will be shown. We will discuss the use of Computer Fluid Dynamics (CFD) for simulations of the entire cardiovascular system and its competition with the 4D MRI approach. It looks that CFD can be useful for investigations of fundamental characteristics of the cardiovascular system. But its using in personal medicine is limited, since the vessel shapes, dimensions, elasticity, blood viscosity vary from one individual to another, are be time dependent and can be determined only approximately. It looks much more productive to use the 4D flow visualization in diagnostics and treatment. Therefore, it is very important to develop new criteria for the diseases diagnosis based on the individual blood flow characteristics and to introduce them into clinical practice. Useful and comfortable interfaces should be developed for automatic vessel segmentation and investigations of the blood flow characteristics.

16:55 Registering and Processing of Dynamic Loads on the Human Body During Explosion and Assessing Mitigation Effect of Water Barrier
Mikheil Chikhradze (Georgian Technical University, Georgia)

In the modern protective system the fast and reliable registration of threat signals generated by different sources (explosion, fire, smoke, etc.) and emergency signal transmission to control block of a suppression devices is very important. In this direction number of experimental investigations has been carried out in Georgia, at G.Tsulukidze Mining Institute. The underground experimental base has been used for experiments, where real explosions were generated. For registration the threats signals fast-acting transmitter and receiver modules has been created and used for the experiments to investigate the impact of shock wave overpressure on human body. An anthropomorphic test device Hybrid III 50th was used during testing. To register dynamic load generated during explosion, 7 sensors were installed in different zones of the dummy. Tests were conducted both with the use of the protective system and without it, in conditions when the charge weight was 2 kg, and the distance from the charge to the dummy was 8,5 m. Comparative analysis showed that the protective system, which contains one absorber (may contain several absorbers), reduces the dynamic loads generated in different zones of a human body by 30-50%. The testing were in relevance to the requirements of standards ISO 6184/4 and EN 14373.

Wednesday, October 7

Wednesday, October 7 12:30 - 13:00

Emotions: Special non-technical session

Our Emotions: The Gordian Knot or the Thread of Ariadne? - operation manual
Dorota Myko
Room F (315)

Dorota Myko Faculty of Electronics and Information Technology Warsaw University of Technology dorota.myko@gmail.com

We would like to invite all the participants of the conference to join the presentation about emotions in our life, and how to deal with them and as a result manage stress.

Emotions are states connected with pleasure or unpleasantness. They are also reactions to the positive or negative stress. We can describe emotions of human beings and animals, and perhaps - also plants.

In general, it is common to believe negative emotions are bad, but we shouldn't forget that they have also positive energy. If our different needs are not fulfilled from the early childhood we don't have the mechanism to develop many emotions at certain level. That could lead us to various psychical and physical illnesses and as a consequence to shorter life expectancy . Therefore it is very important to form our psychological resiliency to stres. That is why special Ego Resiliency Scale was created by Block and Kremen in 1996. Moreover the mechanism of the positive desintegration described by Kazimierz Dąbrowski enriches all human life and broadens horizons of thinking and feeling and can become the inspiration to the creativity in different domains.

The research on Mirror Neurons by Giacomo Rizzolatti is vital in the process of emotion's "contamination". Nowadays, due to the technical progress, many various experiments in this area are carried out with the help of optogenetics e.g. by Phd. Ewelina Knapska from Nencki Institute.

Emotions can cause psychosomatic illnesses, addictions and anyone can be object of manipulations because of emotions. We would like emphasize that the appropriate diet and exercises help us to deal with emotions and influence our behavior in a positive way.

For everybody who is interested in the article in Polish and in English and in the bibliography the materials are disponible - write please at e-mail: dorota.myko@gmail.com


Dorota Myko graduated from Warsaw University with a master's degree of Librarianship, then did two postgraduate studies: at Paris-Nord University XIII - Publishing Studies and at Warsaw School of Economics (SGH) in cooperation with Haute Ecole de Commerce (HEC, France) - Masters of European and Industrial Marketing and Management. Between 2003-2015 she was Polish representative of the global conference Online Educa Berlin. Since 2005 she has been working at Warsaw University of Technology at the Faculty of Electronics and Information Technologies in the Department of Promotion and Information.

Dorota Myko's hobby was, between 2013 and 2016, ceramics, then since 2017 she has been involved in graphics (linocut). In March 2020 she has started to do watercolors.

12:30 Our Emotions: The Gordian Knot or the Thread of Ariadne? - Operation Manual
Dorota Myko (Faculty of Electronics and Information Technologies, Warsaw University of Technology & Faculty, Poland)

We would like to invite all the participants of the conference to join the presentation about emotions in our life, and how to deal with them and as a result manage stress.

Emotions are states connected with pleasure or unpleasantness. They are also reactions to the positive or negative stress. We can describe emotions of human beings and animals, and perhaps - also plants.

In general, it is common to believe negative emotions are bad, but we shouldn't forget that they have also positive energy. If our different needs are not fulfilled from the early childhood we don't have the mechanism to develop many emotions at certain level. That could lead us to various psychical and physical illnesses and as a consequence to shorter life expectancy. Therefore it is very important to form our psychological resiliency to stres. That is why special Ego Resiliency Scale was created by Block and Kremen in 1996. Moreover the mechanism of the positive desintegration described by Kazimierz Dąbrowski enriches all human life and broadens horizons of thinking and feeling and can become the inspiration to the creativity in different domains.

The research on Mirror Neurons by Giacomo Rizzolatti is vital in the process of emotion's "contamination". Nowadays, due to the technical progress, many various experiments in this area are carried out with the help of optogenetics e.g. by Phd. Ewelina Knapska from Nencki Institute.

Emotions can cause psychosomatic illnesses, addictions and anyone can be object of manipulations because of emotions. We would like emphasize that the appropriate diet and exercises help us to deal with emotions and influence our behavior in a positive way.

Wednesday, October 7 15:55 - 17:35

MRW Closing session

15:55 RF Synchronization of Linear Particle Accelerators
Krzysztof Czuba (Warsaw University of Technology, Poland)

Modern linear particle accelerators are large-scale facilities utilizing normal and superconducting microwave resonator cavities to increase energy of physical particles such as electrons or protons. Particles travel at velocities comparable to the speed of light through the cavities and high-gradient Electro-Magnetic fields must be extremely precisely amplitude and phase controlled in order to assure proper acceleration of the particle beam. Sophisticated accelerating field controllers and beam diagnostic systems require synchronization reaching tens of femtoseconds in time domain or 0.001 degree in phase at RF frequencies. In larger accelerators like the E-XFEL in Hamburg, there are several thousands of synchronized devices distributed along 3,4 km long machine. This talk will cover challenges and solutions used to distribute RF synchronization signals in large scientific machines, including control of phase noise and phase drift in components of the synchronization system.