Applied sciences

International Journal of Electronics and Telecommunications

Content

International Journal of Electronics and Telecommunications | 2024 | vol. 70 | No 4

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Abstract

The Internet of Things (IoT) has now permeated every aspect of modern life, requiring that all things be connected to one another and to the Internet using proper protocols. IoT, being an essential component of today's smart society is experiencing enormous problems from various security and interoperability attacks. Traditional encryption is unsuitable for low-cost IoTs because they are vulnerable to physical attacks. This paper proposes Lightweight mutual Authentication Protocol for IoT devices based on hash function using Elliptical Curve approach in which mutual authentication between RFID Tag and Reader is established through several rounds of communication. We also compare the proposed approach of authentication at both ends (Tag and Reader) in terms of efficiency and security.
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Authors and Affiliations

Vandani Verma
1

  1. Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India
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Abstract

The paper presents and discusses the results of simulation of the current-voltage characteristics of an avalanche photodiode carried out in the SPICE program. The simulations take into account the influence of the directed energy of the electromagnetic field used in modern DEW (Directed-Energy Weapon), in the form of laser optical radiation and HPM (High Power Microwave) radiation, on the characteristics of the photodiode. The calculations were made using the model of the considered diode developed by the authors.
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Authors and Affiliations

Jacek Dąbrowski
1
Janusz Zarębski
1

  1. Gdynia Maritime University, Poland
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Abstract

In underwater communications, reciprocal motion between transmitter and receiver has a significant impact on reception quality. In orthogonal broadband systems that provide high bit rates, this problem becomes more important, especially in the higher frequency range, where the absolute Doppler shift is the greatest. Due to the low propagation speed of acoustic wave underwater, a substantial difference exists between the Doppler shift for lower and upper frequencies of the utilized spectrum. Consequently, a frequency-independent Doppler shift factor is employed. One of the most popular methods for determining the Doppler shift is the use of pilots. The problem of selecting the number and determining the frequency of pilots in such a way as to obtain the lowest possible error rate was identified. Real-world testing was conducted in a multipath propagation environment with relative speeds of up to 1.5 m/s. The effectiveness of Doppler shift determination was evaluated by analyzing the bit error rate. The results of the conducted tests indicate that, based on the achieved error rate, it is sufficient to employ 7 pilots positioned at low frequencies.
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Authors and Affiliations

Agnieszka Czapiewska
1
Andrzej Łuksza
2
Ryszard Studański
2
Łukasz Wojewódka
2
Andrzej Żak
3

  1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland
  2. Faculty of Electrical Engineering, Gdynia Maritime University, Poland
  3. Faculty of Mechanical and Electrical Engineering, PolishNaval Academy, Poland
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Abstract

Underwater acoustic communications (UAC) in shallow water applications is a very difficult task. This task becomes even more difficult when there is a need to ensure reliable communication with an object buried in bottom sediments. The article presents a simulation of an acoustic transmission channel in conditions of strong multi-path propagation to an object buried in bottom sediments. The impulse response method was used, supported by a technique derived from the ray tracing image source method. Simulation results are presented for both narrowband and broadband signals with LFM frequency modulation. Based on the simulation, the conditions that should be met by the transmission signals to ensure correct communication were determined. Examples of data transmission to an object buried in bottom sediments in a simulated shallow channel with multi-path propagation were also presented.
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Authors and Affiliations

Roman Salamon
1
Jacek Marszal
1
Iwona Kochańska
1

  1. Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Department of Signals and Systems, Gdańsk, Poland
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Abstract

This paper focuses on extracting and understanding the acoustical features embedded in the soundscape used in ASMR (Autonomous Sensory Meridian Response) studies. To this aim, a dataset of the most common sound effects employed in ASMR studies is gathered, containing whispering stimuli but also sound effects such as tapping and scratching. Further, a comparative analytical survey is performed based on various acoustical features and two-dimensional representations in the form of mel spectrogram. A special interest is in whispering sounds uttered in different languages. That is why whispering sounds are compared in the language context, and the characteristics of speaking and whispering are investigated within languages. The results of the 2D analyses are shown in the form of similarity measures, such as Normalized Root Mean Squared Error (NRMSE), PSNR (peak signal-to-noise ratio), and SSIM (structural similarity index measure). The summary is produced, showing that the analytical aspect of the inherently experiential nature of ASMR is highly affected by the subjective, personal experience, so the evidence behind triggering certain brain waves cannot be unambiguous.
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Authors and Affiliations

Tomasz Piernicki
Sahar Seifzadeh
Bozena Kostek
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Abstract

Glacial landforms, created by the continuous movements of glaciers over millennia, are crucial topics in geomorphological research. Their systematic analysis affords invaluable insights into past climatic oscillations and augments understanding of long-term climate change dynamics. The classification of these types of terrain traditionally depends on labor-intensive manual or semi-automated methods. However, the emergence of automated techniques driven by deep learning and neural networks holds promise for enhancing efficiency of terrain classification workflows. This study evaluated the effectiveness of Convolutional Neural Network (CNN) architectures, particularly Residual Neural Network (ResNet) and VGG in comparison with Vision Transformer (ViT) architecture in the glacial landform classification task. By using preprocessed input data from Digital Elevation Model (DEM) which covers regions such as the Lubawa Upland and Gardno-Leba Plain in Poland, as well as the Elise Glacier in Svalbard, Norway, comprehensive assessments of those methods were conducted. The final results highlight the unique ability of deep learning methods to accurately classify glacial landforms. Classification process presented in this study can be the efficient, repeatable and fast solution for automatic terrain classification.
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Authors and Affiliations

Paweł Nadachowski
1
Zbigniew Łubniewski
1
Karolina Trzcińska
2
Jarosław Tęgowski
2

  1. Gdansk University of Technology, Gdansk, Poland
  2. University of Gdansk, Gdansk, Poland
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Abstract

The paper presents selected acoustic power amplifiers from among those currently available. The results of a series of measurements characteris ing the amplifiers are presented. The measured amplitude and phase characteristics as a function of frequency for four selected amplifiers are analysed. The spectra of the output signal in the band from 4 kHz to 30 kHz are presented. The usefulness of the selected amplifiers in an underwater communication system is assessed.
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Authors and Affiliations

Aleksander M. Schmidt
1
Jan H. Schmidt
1
Iwona Kochańska
1

  1. Gdańsk University of Technology, Poland
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Abstract

Magnetic Resonance Imaging (MRI) is a very versatile diagnostic tool for non-invasive analysis of human organ functions, without use of ionizing radiations. Loud operating sound is the major challenge associated with the MRI technology, reaching up to 130 dB. This paper analyses and compares the spectral properties of acoustic noise produced in the examination room of the mobile imaging trailer based 1.5 Tesla MRI system, during different scanning sequences of image acquisition. The analysis is useful in understanding the dynamic behavior of the sound generated inside the examination room to develop the noise reduction strategy.
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Authors and Affiliations

Swapnil Arawade
1
Janusz Piechowicz
1

  1. AGH University of Krakow. Faculty of Mechanical Engineering and Robotics, Department of Mechanics andVibroacoustics, Poland
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Abstract

Abstract—Smart beekeeping is a rapidly developing field. Automated detection and classification of honey bees opens many new opportunities for studies on their behavior. In this paper, we focus on distinguishing between two classes of bees: female workers and male drones. The classification is performed on mel-frequency cepstral coefficients obtained for audio recordings of their flights in a close proximity to an entrance to a beehive. We compare the classification accuracy for several classifiers. We investigate how partitioning of the frequency spectrum influences the classification results. The study involves series of experiments performed for different cepstral representations in the form of 5, 10, 15, 20 and 40 mel-frequency cepstral coefficients.
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Authors and Affiliations

Urszula Libal
1
ORCID: ORCID
Pawel Biernacki
1
ORCID: ORCID

  1. Department of Acoustics, Multimedia and Signal Processing, Wroclaw University of Science and Technology, Wroclaw, Poland
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Abstract

The publication presents a flexible approach to implementing coarse coordinate estimation of an object observed with a sodar. This flexibility permits any arrangement of sound sources as well as microphones. Only minimal requirements are imposed on the probing signal, which can particularly be broadband. The algorithms have been tested on both synthetic data and data recorded with an actual device.
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Authors and Affiliations

Kamil Stawiarski
1

  1. Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Department of Signals and Systems, Poland
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Abstract

Ensuring universal and stable underwater communication in shallow waters for various environmental conditions is a difficult scientific and engineering task. This applies in particular to underwater communication systems that use acoustic waves in very shallow underwater channels, where multipath propagation permanently occurs. The article provides assumptions for a system working with incoherent M-ary Frequency-Shift Keying (MFSK) modulation, along with guidelines for eliminating the impact of the multipath phenomenon. The results of experimental tests carried out in a lake for two seasons and, therefore, different sound velocity profiles are presented. For comparison purposes, three transducers placed at different depths, including at the bottom of the reservoir, were used to receive the transmitted signals.
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Authors and Affiliations

Jan H. Schmidt
1
Aleksander M. Schmidt
1
Iwona Kochańska
1
Ryszard Studański
2
Andrzej Żak
3

  1. Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Poland
  2. Faculty of Electrical Engineering, Gdynia Maritime University, Poland
  3. Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Poland
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Abstract

This research aims to create a decision support system to identify retinal diseases using a four-class classification problem. To achieve this, the proposed system uses deep learning architecture to automatically recognize CNV, DME, and drusen from OCT images. The model employs two transfer learning architectures with several additional layers to classify retinal diseases. The purpose of model training, validation, and testing, the experiment uses 6,000 grayscale images labeled into four classes from the OCT data set. The Inception V3 model’s proposed additional layer exhibits an increase in accuracy of 3.08% and a reduction in the loss by 0.3767. The experiment’s results indicate that the Inception V3 model achieved an accuracy rate of 99.31%, and the VGG-16 model reached 98.83%, which outperformed other deep learning models using the OCT data set.
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Authors and Affiliations

Muhamad Asvial
1
Tobias Ivandito Margogo Silalahi
1
Muh. Asnoer Laagu
2

  1. University of Indonesia
  2. University of Jember
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Abstract

The article explores deep learning models in urological diagnostics to measure urinary bladder volume from medical images. It addresses the shortcomings of traditional methods by introducing advanced imaging techniques for more objective and precise analysis. The research employs Convolutional Neural Networks (CNNs) and the MONAI platform for image segmentation and analysis, using data from The Cancer Imaging Archive to focus on urological regions. Findings suggest these models enhance diagnostic accuracy but also highlight the need for further modifications to tailor them to specific medical data, underscoring machine learning’s significant role in accurate medical assessments for urology.
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Authors and Affiliations

Volodymyr Mosorov
1
Daniel Baradziej
1
Marta Chodyka
2

  1. Lodz University of Technology, Poland
  2. John Paul II University in Biala Podlaska, Poland
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Abstract

Underwater navigation is a research topic current undertaken in many areas of underwater research. The article presents an analysis resulting from MEMS modelling in the context of inertial navigation. The ideal approach was confronted with its limitations, but a non-linear approach, close to the real one, was also presented. Both models were compared in the context of inertial navigation. Random disturbances and their impact on linear and nonlinear dynamic systems, and in this context on Brownian noise motion, were also analysed. The linear velocity and displacement estimates generated by the presented models were compared to the ideal responses. The phenomenon of bifurcation in the context of inertial measurements is presented. Some of the analysis is performed on real data, but for greater clarity, some is performed on simulated data to highlight design issues and limitations.
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Authors and Affiliations

Jerzy Demkowicz
1

  1. Gdańsk University of Technology, Poland
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Abstract

Possibility of the use commercial carbon-polymer pastes for preparation thick-film resistors for linear strain sensors application was tested. The research showed that the polymer thick-film resistors are characterized by the piezoresistive effect up to 2% strain. For higher strain small cracks appeared in the resistive film. Presence of the cracks influenced resistance of the sensor. It is so called false piezoresistive effect. The cracks may cause instability of the sensor. Visual detection of the cracks is hardly possible because of their small dimensions. The indicator of cracks creation in resistive film was found.
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Authors and Affiliations

Jerzy Kalenik
1
Wojciech Stęplewski
2
Janusz Borecki
2
Aneta Chołaj
2
Mirosław Kozłowski
2
Tomasz Serzysko
2

  1. Warsaw University of Technology, Poland
  2. Lukasiewicz Research Network - Tele and Radio Research Institute, Poland
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Abstract

The interests of researchers in expanding network capacity and enhancing network quality have risen as a result of the growing demands for mobile multimedia traffics in cellular communication networks. Device-to-Device (D2D) communication has become a promising technology to enhance spectral efficiency and network capacity. However, since D2D devices share the frequency bandwidth with the traditional cellular networks, it causes interference problems. This paper proposes a soft Fractional Frequency Reuse (FFR) scheme to resolve the interference problems in such D2D communications. Extensive simulation experiment has been carried out. The performance of the system with proposed scheme is compared to a baseline system. The simulation results show that the proposed scheme is able to increase the value of SINR and throughput, achieving the values from 19.8 dB to 20.7 dB and from 66.1 to 68.8 Mbp, respectively. For CUE the scheme is able to provide an increase of 15.5% for SINR and 15% increase for throughput on downlink transmission.
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Authors and Affiliations

Misfa Susanto
1
Soraida Sabella
1
FX Arinto Setyawan
1

  1. Department of Electical Engineering, University of Lampung, Indonesia
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Abstract

One potential candidate technology for Beyond 5G (B5G) networks is the reconfigurable intelligent surface (RIS), which is easy to install on existing infrastructure such as vehicles and buildings. Creating additional paths between the transmitter and receiver to improve the received signal accessible to the system is one of the significant uses of RIS. A virtual line of sight (VLOS) is established through the Tx-RIS-Rx link without the line of sight (LOS). RIS technology solves the problem of low coverage in millimeter-wave communications. This paper presents the effect of the signal-to-noise ratio by changing dimensions. In addition to finding the optimal values for the dimensions that give the optimal SNR, simulation results prove that the RIS height is greater than or equal to half the dimension between the sender and the receiver. It is recommended that the RIS height be greater than half the distance between the sender and the receiver.
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Authors and Affiliations

Bushra Jarjees Qeryaqos
1
Saad Ahmed Ayoob
1

  1. University of Mosul, Iraq
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Abstract

A The next generation of wireless systems, like 5G/6G, ought to accommodate a wide range of potential use cases like massive real-time and machine-type communications. Accordingly, such systems need to provide high throughput, low latency, and a low peak to average power ratio (PAPR). It is not feasible to fulfil each of these needs with a single 5G/6G technique. On one hand, MIMO technique can potentially improve spectral efficiency and hence support more date rates. On the other hand, the utilization of multi-carriers’ techniques like FBMC/OQAM, or offset quadrature amplitude modulation, offers a compelling substitute for the traditional cyclic prefix-based orthogonal frequency division multiplexing (CP-OFDM) because of its excellent spectral efficiency and extremely low out-of-band radiation. However, the FBMC/OQAM orthogonality constraint is loosened, confined to the real field alone, resulting in intrinsic interference. This interference causes incompatibilities between FBMC/OQAM and certain MIMO schemes. Also, equalizing the time-varying MIMO channel is even more difficult when the complex valued symbol—which includes both real and imaginary FBMC/OQAM task, primarily due to the general non-flatness of the subchannels. From this perspective, we first suggest in this paper an efficient pruned-DFT-based implementation of MIMO to restoring the complex orthogonality and also reduce the complexity of the whole system. Then, we optimize MIMO channel equalization by efficiently separating and equalizing multiple parallel channels using various equalization techniques. The numerical results, presented as MSE versus subcarrier index, show that Pruned DFT technique consistently achieves lower MSE values compared to the standard MIMO FBMC-OQAM across various configurations, which indicates better error performance and its robustness in dynamic channel conditions.
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Authors and Affiliations

Thamer M. Jamel
1
Ali Al-Shuwaili
2

  1. Department of Communications Engineering, University of Technology, Baghdad, Iraq
  2. College of Engineering, University of InformationTechnology and Communications, Baghdad, Iraq
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Abstract

The study on mobility is an inherent part of any generation of cellular technology. It is aimed at ensuring robust, reliable, and interruption-free handover of the mobile user connection. Such continuous improvement is necessary as the service requirements become more stringent which urge the mobility to meet the highest performance expectations. In this paper, it is described how such requirements are to be achieved by the 3GPP Release 18 components. It begins with the introduction to the world of mobility, covering the solutions that have been designed since the first generation of New Radio (NR). Then improvements pursued in consecutive 3GPP releases are outlined. Selected areas for Release 18 mobility enhancements have been evaluated using 5G-compliant system-level simulations and results thereof are presented below. These include wrong Primary Secondary Cell (PSCell) preparation in Conditional Handover (CHO) and the impacts of secondary cell setup delay in Dual Connectivity (DC). It is shown that preparing multiple PSCells in CHO ensures the user accesses the right cell in up to 96% of cases.
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Authors and Affiliations

Jedrzej Stanczak
1
Umur Karabulut
2
Ahmad Awada
2
Ali Karimidehkordi
2
Niko Kolehmainen
2
Alperen Gundogan
2

  1. WUST and Nokia
  2. Nokia
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Abstract

The Internet of Things has rapidly grown in the past years as emerging technology. Moreover, 5G networks start to offer communication infrastructure for applications of the Industrial Internet of Things (IIoT). However, due to energy limitations of IIoT devices and heterogeneity of 5G networks, managing IIoT networks is a challenging task. One of the most critical issues in IIoT that requires consideration is traffic routing that has a significant impact on energy consumption, and thus, lifetime of the network. Artificial Intelligence (AI) has been widely employed to solve complex scientific and practical problems. Such AI techniques as neural networks, fuzzy systems, genetic algorithms are commonly employed in wireless networks to promote their optimization, prediction, and management. This study suggests using an Adaptive Neuro-fuzzy Inference System (ANFIS) in 5G networks of IIoT for improving the routing process. A flow-chat of routing protocol was suggested. For input and output values of the ANFIS linguistic variables, terms and membership functions were defined. A rules base was developed. To improve the rule base of the ANFIS, a genetic algorithm was proposed. The operation of ANFIS was simulated in Matlab software.
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Authors and Affiliations

Olena Semenova
1
Natalia Kryvinska
2
Andriy Semenov
1
Volodymyr Martyniuk
1
Olha Voitsekhovska
1

  1. Vinnytsia National Technical University, Ukraine
  2. Comenius University in Bratislava, Slovak Republic
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Abstract

Present network monitoring systems need to cope with the ever-increasing amount of traffic in modern high-speed networks. These systems often perform sophisticated deep packet inspection (DPI) for anomaly detection, denial-of-service attacks detection and mitigation, intrusion detection and prevention, etc. Since DPI is resource-intensive, the monitoring devices are often not able to analyze all incoming traffic at link speeds. Consequently, sampling is employed to reduce the traffic volume and thus limit packet losses caused by resource exhaustion. Classical sampling methods select packets based on a fixed limiting parameter, regardless of the computational resource utilization of the monitoring device. This paper proposes a novel sampling approach for network traffic security monitoring that is based on an analytical model of the monitoring device. The model allows for testing adaptive sampling strategies that adjust the instantaneous sampling rate according to the input queue occupancy. The queue occupancy is used to drive the adaptation as it indicates the current relationship between available computational resources and the input traffic volume. Consequently, our approach maximizes the DPI ratio while simultaneously ensuring that the probability of packet loss due to resource exhaustion remains negligible. Analytical and simulation results are presented to demonstrate the impact of the proposed method on system parameters, along with a comparative studies.
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Authors and Affiliations

Maciej Sosnowski
1
Piotr Wiśniewski
1

  1. Warsaw University of Technology, Institute of Telecommunications, Poland
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Abstract

The paper focuses on future 6G mobile systems deployed over the edge-cloud continuum infrastructure. The challenge is designing an effective orchestration method that allocates instances of edge applications and user plane functions, addressing the diverse requirements of involved stakeholders. We propose, implement, and evaluate new joint orchestration algorithms that take advantage of the abstract representation of edge-cloud continuum resources. The evaluation based on mathematical MILP models and trials in an experimental edgecloud continuum environment confirmed that the proposed joint orchestration outperforms other approaches.
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Authors and Affiliations

Witold Jóźwiak
1
Andrzej Bęben
1
Maciej Sosnowski
1

  1. Telecommunication, Warsaw University of Technology, Warsaw, Poland
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Abstract

The development of technology in radiolink networks has grown rapidly and is suitable to be implemented on wide coverage area networks, but weather and physical environment factors greatly affect signal conditions. The background that has been stated, this study proposes migration to fiber optic access media because it is able to send data faster and is not affected by electromagnetic interference and is stable. Furthermore, this study conducted an optimization analysis on the SDWAN (Software Defined Wide Area Network) network, SDWAN functions as a firewall that can provide connectivity support and infrastructure network development in branch offices with system security in one centralized platform. The test method used in this study is a connectivity test from each remote fortigate located in the branch office. While the analysis method used is Quality of Service (QoS), which is a method to find out data delivery (Packet Loss, Delay and Jitter) using the FortiManager application, which is the analytical and experimental proof of concept of the SDWAN network model using the BGP method for auto failover testing.
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Authors and Affiliations

Nugraha Beny
1
Muslim Muslim
1
Mega Nur Khotimah
1
Lukman Medriavin Silalahi
1
Dhiya Akmal Firdaus
2
Christ Geofany
2

  1. Universitas Mercu Buana, Indonesia
  2. PT. Datacomm Diangraha, Indonesia
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Abstract

The paper presents the existing possibilities of disrupting the operation of optical/optoelectronic telecommunication networks in a physical layer, distinguishing between passive and active attacks. The latter relay on jamming the operation of the optical network, ranging from the deterioration of the quality of service to the complete prevention of transmission. Passive attacks, on the other hand, are aimed at eavesdropping on transmissions. The paper discusses the various types of attacks, which are specific to the physical layer of optical networks, as well as capabilities of detection and prevention them based on the machine learning approach among others. Finally, a realistic scenario of an active attack by using of a clip-on coupler has been examined in the context of a local area optical network. The results confirm a very disruptive impact on the transmission quality if the power of the jamming signal is comparable with the power of useful signal.
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Authors and Affiliations

Jerzy Siuzdak
1
Marcin Kowalczyk
1
Michał Marzecki
1

  1. Warsaw University of Technology, Warsaw, Poland
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Abstract

Filter Bank Multi-Carrier with Offset Quadrature Amplitude symbol mapping called as FBMC/OQAM is presented as a potential successor of Orthogonal Frequency Division Multiplexing OFDM. Combined with Multiple-Input Multiple- Output (MIMO), MIMO-FBMC/OQAM is a promising modulation scheme for high performance broadband wireless communications. However, one major drawback of MIMO-FBMC/OQAM is the high peak-to-average power ratio (PAPR) of the output signals. Latinovic et al. Proposed a PAPR reduction method called Polyphase Interleaving and Inversion (PII) for MIMOOFDM systems under the use of the space-frequency block coding (SFBC) [1]. In this investigation, we suggest two schemes called Cross Antenna Polyphase Interleaving and Inversion 1 and 2 (CAPII1/(CAPII2) PAPR reduction schemes for Space Frequency Block Coding MIMO-FBMC systems which consequently utilizes additional degrees of freedom by employing multiple antennas and generating more patterns leading to more signal candidates to transmit, while requiring a limited amount of side information. The simulation results show that both the proposed CAPII schemes experience remarkable gain in PAPR.
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Authors and Affiliations

Mounira Laabidi
1
Ridha Boualleguee
1

  1. Sup’Com, University of Carthage, Tunisia
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Abstract

This investigation uses the Genetic Optimization Method to convert a wide-band MIMO antenna into a UWB (3.1GHz–10.6 GHz) MIMO antenna. Initially, a 22 × 42, mm2 wideband 2X2 MIMO antenna was designed using commercial Flame Retardant-4 material. The structure of the antenna patch was designed using half-circular forms on the half-ground plane. The designed MIMO antenna operates throughout a large frequency range of 4.8–9.8 GHz. While it was successful in achieving broad band characteristics, this MIMO antenna was unable to reach ultra-wide band characteristics. The MIMO antenna was operated in UWB ranges by a parametric study, which indicated that the resonating characteristics can be significantly modified by inserting a rectangular slot into the ground plane. Throughout the operational range, it was important to be concerned about improved gain and good isolation. Accordingly, optimization was carried out in order to accomplish the essential, multi-objective goals. The difficult multi-objective design goal is now reduced to an optimization challenge by means of genetic algorithm based random search. One of the performance goals that this optimization strategy aimed to fulfil was an increase in isolation to –20 dB across the entire Ultra-Wideband, with S11 being below –10 dB from 3.1 to 10.6 GHz. It is recommended to randomly select the parameters from their respective ranges for this work. This led to the selection of an optimizer based on random searches. In the operating range, the UWB has a respectable gain of 4 dB to 6 dB and increased isolation to –20 dB, according to the genetic algorithm optimizer’s execution of the predefined multiple-objective task.
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Authors and Affiliations

B Ramamohan
1
Siva Ganga Prasad M
1

  1. Dept. of ECE,Koneru Lakshmaiah Education Foundation, AP, India
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Abstract

The paper presents the results of a research on the development of algorithms for ship’s safe ship trajectory calculation and automatic control of the ship along the determined trajectory. These methods are intended for use in the autonomous navigation system of an Unmanned Surface Vehicle (USV) or a Maritime Autonomous Surface Ship (MASS). The work presents the consecutive stages of a research that must be carried out in order to develop a system that will perform the task of multidimensional ship control in a port. The safe trajectory is calculated with the use of the Ant Colony Optimization (ACO) method. The ship motion control is based on the Linear Matrix Inequalities (LMI) method, implemented using the Mathworks and Yalmip libraries. The results of controlling the ship’s motion in accordance with the calculated trajectory are presented in the paper. With the use of the developed system, the ship can move autonomously based on the information from the DGPS system and a gyrocompass. The presented results concerned a computer simulation of maneuvers in the port of the Blue Lady ship from the Foundation for Shipping Safety and Environmental Protection.
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Authors and Affiliations

Monika Rybczak
1
Agnieszka Lazarowska
1

  1. Department of Ship Automation, Faculty of Electrical Engineering, Gdynia Maritime University, Gdynia, Poland
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Abstract

Despite advancements in encryption technology, the issue of covert data transmission remains relevant. Researchers are actively enhancing established methods of concealing information with software tools that utilize mathematical models and developing new data entry methods. Steganographic techniques can be used with cryptographic methods to enhance the confidentiality of information within a container or as a standalone software tool. This article examines the steganographic integrity of concealing confidential information within audio files. The steganographic technique was selected as the phase coding method, which involves substituting the audio element’s phase with the secret message’s relative phase. An implementation of the chosen method was developed for the experiment. During the experiment, secret data of varying lengths were used to assess the impact of the length of the concealed information on the distortion of the audio file that may be perceptible to the listener. The study also investigated the resilience of the concealed information to noise attacks, allowing for the determination of the threshold of its robustness. The findings provide insight into the reliability of this steganographic method for hiding classified information within media objects.
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Authors and Affiliations

Ruslana Ziubina
1
Valentyna Teliushchenko
2
Olga Veselska
1
Andrii Petrenko
2

  1. University of Bielsko-Biala, Bielsko-Biala, Poland
  2. National Aviation University, Kyiv, Ukraine
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Abstract

The paper presents the results of measurements of illuminance. Twenty-two types of illuminance meter with known spectral sensitivity curves of photometric heads and eleven lamps emitting colored light were used. Laboratory measurements were conducted at a characteristic point, with a focus on assessing intrusive light, with a value of 3 lx. The considerations were supplemented with simulated illuminance calculations. For most illuminance meters, correlations were observed between the measurement results and the calculations. This allows the conclusion that, especially in the case of colored light, one of the main factors affecting the measurement result is the spectral sensitivity curve of the photometric head. The greatest discrepancies in the obtained illuminance values were found in the case of lamps emitting blue light. The paper highlights the fact that measuring low illuminance values produced by lamps emitting colored light is not an easy task. Depending on the illuminance meter used, conclusions regarding the assessment of intrusive light may vary. The aim of the paper is to indicate that not all calibrated illuminance meters are suitable for this assessment.
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Authors and Affiliations

Przemysław Tabaka
1
ORCID: ORCID
Justyna Wtorkiewicz
2

  1. Technical University of Lodz, at the Institute of Electrical Engineering, Poland
  2. Regional Office of Measures in Lodz, at theLaboratory of Physicochemistry, Poland
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Abstract

Solar panels in enclosed areas are prone to suboptimal absorption of sunlight due to unstable sunshine. Two methods to optimize solar panel efficiency are available: dynamic and static. The dynamic method involves moving the panels towards the sun to maximize solar irradiation, while the static method uses a power converter to find the maximum power point. This research evaluates the performance of the MPPT system, which uses the P&O method with PSO, on solar panels. The objective is to determine the most appropriate MPPT algorithm to optimize the efficiency of solar panels. The MPPT system’s efficiency is tested under partial shading conditions of 100 w/m2, 300 w/m2, and 500 w/m2. The system’s output is evaluated based on the highest efficiency parameter value. The efficiency of the P&O and PSO methods is compared, and the most optimal efficiency is determined. The MPPT system is designed to measure parameters that are demonstrated qualitatively.
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Authors and Affiliations

Imelda Uli Vistalina Simanjuntak
1
Junas Haidi
2
Ricky Fajar Ade Putra
3
Lukman Medriavin Silalahi
1

  1. Universitas Mercu Buana, Indonesia
  2. Universitas Bengkulu
  3. PLN Indonesia
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Abstract

Today we are in a period of explosion of business taking advantage of the new opportunities offered by the new environment of economically open space. The period, sometimes called Space 4.0, is a paradigm shift, with changes in motivation and understanding, actors, and technology. For over a dozen years, under the name NewSpace, a revolution has been taking place in the space sector with the participation of new players, schools and universities, new commercial entrepreneurs and businesses. NewSpace entered the area traditionally occupied by OldSpace – government space agencies and large companies, testing new possibilities. These possibilities include new services, e.g. using data transmission from space, regarding communication, precise navigation, agriculture, surveillance, mapping, geology, climate, space weather, environmental monitoring, and security. The transformation of OldSpace into NewSpace was associated with the business risk of changing old, conservative business models into completely new ones, unknown in this area. The transformation is related to the need to maintain the changes in a reasonable legal system so as not to experience the „Wild West” again, this time in space. It is currently difficult to establish strict rules regarding the still distant colonization of Mars, but undoubtedly establishing rules for the use of the LEO area, i.e. the already crowded low Earth orbits, is becoming an increasingly urgent necessity. In the context of competition and technological cooperation between giga-regions, international cooperation, combating old prejudices and establishing equal opportunities, under the umbrella of social acceptance, we are building in Europe, not without difficulties, a common, democratic space.
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Authors and Affiliations

Ryszard S. Romaniuk
1
Piotr Orleański
2

  1. Warsaw University of Technology, Poland
  2. Space Research Centre, Polish Academy of Sciences, Poland
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Abstract

The study aimed to learn about the experiences and opinions of students and academic teachers regarding the use of artificial intelligence in higher education. The question was answered to what extent and in what way do students and academic teachers of APS use AI in their studies and work? A diagnostic survey method was used, and original survey questionnaires were used. The study involved 58 academic teachers and 139 students. A significant number of academic teachers do not use artificial intelligence, and some of them express open disapproval of its use in education. These concerns include the negative impact of AI on the teaching process and the risks associated with verifying knowledge. A small number of lecturers use AI mainly to search for or create teaching materials. They use AI to prepare lesson plans, generate images, or make classes more attractive. In turn, some of them fear that AI may encourage students to abuse technology in the educational process. Most students declare that they do not use AI, and some are afraid of its inaccuracy and the possibility of making mistakes. Of the students who use AI, they mainly use it to search for information, simplify and correct their work, and create new materials. There is a clear discrepancy between the needs and goals of lecturers and students in the context of AI use. Lecturers perceive AI as a tool to support teaching, but with concerns about its ethical and practical application, while students treat AI as a tool to facilitate everyday learning tasks. The results suggest the need to implement training on the ethical use of AI and its full potential for both lecturers and students to prepare them for the upcoming technological changes in education.
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Authors and Affiliations

Miłosz Wawrzyniec Romaniuk
1
Joanna Łukasiewicz-Wieleba
1

  1. Maria Grzegorzewska University, Poland
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Abstract

This paper explores advanced techniques in highlevel synthesis (HLS) utilizing metamodel structures. Metamodels act as models of hardware models, generating internal hardware models based on parameter inputs and exploring the solution space to find optimal configurations. The focus is on enhancing HLS processes through metamodeling, enabling more efficient hardware design and optimization. Key contributions include a novel metamodel framework and a case study demonstrating its application in complex system designs. The proposed methods show significant improvements in synthesis efficiency and scalability, making them highly relevant for modern FPGA and ASIC design workflows.
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Authors and Affiliations

Radoslaw Cieszewski
1
Ryszard Romaniuk
1
Krzysztof Poźniak
1
Maciej Linczuk
1

  1. Warsaw University of Technology, Poland
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Abstract

In this paper, we compare behaviors of two possible descriptions of the sampled signal in the case when the sampling period tends to zero, but remains all the time greater than zero. Note that this is the case we are dealing with in analog-to-digital conversion in microwave photonic systems. From this comparison, it follows that the description with the weighted step function is superior to the description with the weighted Dirac comb. A couple of useful comments and remarks associated with the results presented are also provided in the context of microwave photonic systems.
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Authors and Affiliations

Andrzej Borys
1
ORCID: ORCID

  1. Department of Marine Telecommunications,Faculty of Electrical Engineering, Gdynia Maritime University, Poland
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Abstract

The technique of video summarizing involves selecting the most relevant and informative sections of a video to generate its shortened and faster version. Crowdsourcing is a relatively new term that has been exploited in the present study to achieve video summarization. This technique helps in dividing a task into multiple parts, and each of these parts is then evaluated using a large group of individuals to solve problems that are otherwise difficult to solve using traditional computational machines. In this study, we offer a crowdsourcing subjective experiment in which summaries of processed video sequences are evaluated. Thus, we are proposing an experiment that utilizes crowdsourcing to evaluate the efficacy of an algorithm that summarizes videos. A group of 45 individuals participated in the experiment, where each of them were asked to watch 24 videos, each of 30-second and 45-second duration. An experimental comparison was conducted with respect to presentation order and random selection methods. A content-based video segmentation was also used to represent different levels of complexities and visual richness. The findings of the assessment showed that specific characteristics of a video such as its length, complexity, and content, play a major role in improving the performance of the summarization algorithm. This study is an essential step toward the development of video summarizing systems that are both more accurate and more efficient.
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Authors and Affiliations

Avrajyoti Dutta
1
Dawid Juszka
1
Mikołaj Leszczuk
1

  1. AGH University of Krakow, Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, Poland
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Abstract

This article presents an approach to building a bitexact simulation environment, capable of handling complex wireless communication stack such as 6TiSCH with enough performance, to be useful in large scale network topologies. The architecture of the simulator and the stack is presented along with the discussion of key features and design choices. The results of the simulation are compared to the results of extensive testbed experiments, which conclude that the designed tool can be used for practical design and verification of large distributed IoT applications.
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Authors and Affiliations

Mateusz Kubaszek
1
Jan Macheta
1
Łukasz Krzak
1
Cezary Worek
1

  1. AGH University of Krakow, Faculty of Computer Science, Electronics and Telecommunications, Institute of Electronics, Poland
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Abstract

The paper presents the methodology for evaluating mobile game players retention, which is the basis for generating economic income for its creators. The system for collecting and processing the in-game data (events related to the players’ actions) exploiting the Big Data cloud platform is described. The player profile with the crucial features allowing for the retention analysis is introduced. Datasets generated for the My Spa Resort mobile game by CherryPick company are described. The retention prediction approach based on the similarity estimation between the analyzed and already inactive players is presented. Results of the prediction using the k Nearest Neighbors (kNN) classifier are discussed.
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Authors and Affiliations

Piotr Bilski
1
ORCID: ORCID
Rafał Łabędzki
2
Adrian Bilski
3
ORCID: ORCID

  1. Warsaw University of Technology, Poland
  2. SGH Warsaw School of Economics, Poland
  3. Warsaw University of Life Sciences, Poland
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Abstract

With the significant advancement of electrical infrastructure in the context of smart buildings and smart homes, the need arises to overcome the limitations of the traditional energy efficiency control system based on service-oriented architecture (SOA). To address these challenges, this study proposes a distributed architecture based on microservices, with the main objective of improving the performance and stability of these systems. This proposal seeks to enable end users to effectively monitor and control their electrical devices while effectively integrating them into a wide network of power systems. The proposed architecture relies on a series of cloud services that enable better performance and control in energy efficiency management, highlighting key features of microservices such as fault tolerance, performance, and scalability. Using a structural methodology centered on pre-existing components and an iterative approach, a versatile and scalable architecture was designed that addresses current challenges in energy efficiency management. The results show a significant impact on key performance indicators such as demand response, energy savings, and power quality, highlighting the resilience and scalability of the proposed architecture. The conclusions highlight the importance of energy efficiency in reducing the environmental impact and costs associated with electric power, suggesting future improvements in data access and the implementation of advanced machine learning algorithms.
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Authors and Affiliations

Ivonne Nuñez
1
Carlos Rovetto
1
Edmanuel Cruz
1
Andrzej Smolarz
2
Dimas Concepcion
1
Elia Esther Cano
1

  1. School of Computer Systems Engineering, Universidad Tec- nologica de Panama, Panama
  2. Lublin University of Technology, Poland
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Abstract

The paper describes the approach, instruments, and their evolution over a prolonged investigation of data collected by a honeypot system. The data is focused on network activity of a cybersecurity threat, in particular, attacks and activity throughout last five years of bots belonging to Smominru botnet. Conducted analyses include, but are not limited to, IP addresses used during attacks, day by day activity and evolution of malicious executables distributed over the observation period. The presented results also contain behavioural analysis of the threat and attack sources. Moreover, the paper details the systems used for data acquisition, their modifications along the observations made and all the tools developed to achieve the results.
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Authors and Affiliations

Krzytof Cabaj
1
Witold Wysota
2
Konrad Grochowski
3
Piotr Gawkowski
3

  1. Faculty ofElectronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
  2. Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
  3. Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
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Abstract

This study aims to investigate the impact of hand gesture recognition techniques on the efficiency of American Sign Language (ASL) interpretation, addressing a critical gap in the existing literature. The research seeks new insights into the challenges of automated sign language recognition, contributing to a deeper understanding of accessibility in communication for the deaf and hard-of-hearing community. The study employs a quantitative approach, using a dataset comprising hand gesture images representing the static letters of the ASL alphabet collected from multiple users. Data were collected from various individuals to ensure diversity and analyzed using machine learning models to evaluate their effectiveness in recognizing ASL signs. The results reveal that the machine learning models implemented achieved a high accuracy rate in recognizing hand gestures, indicating that person-specific variations do not significantly hinder performance. These findings provide evidence that the proposed dataset and methodologies can improve the reliability of sign language recognition systems, offering significant implications for the development of more inclusive communication technologies. This research offers a novel perspective on sign language recognition, providing valuable insight that extends the current understanding of gesture-based communication systems. The study’s findings contribute to advancements in accessibility technologies, highlighting areas for future research and practical applications in improving communication for the Deaf and hard of hearing community.
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Authors and Affiliations

Michał Chwesiuk
1
Piotr Popis
1

  1. Warsaw University of Technology, Poland
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Abstract

We study invariant sets and measures generated by iterated function systems defined on countable discrete spaces that are uniform grids of a finite dimension. The discrete spaces of this type can be considered as models of spaces in which actual numerical computation takes place. In this context, we investigate the possibility of the application of the random iteration algorithm to approximate these discrete IFS invariant sets and measures. The problems concerning a discretization of hyperbolic IFSs are considered as special cases of this more general setting.
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Authors and Affiliations

Tomasz Martyn
1

  1. Faculty of Electronics and Information Theory, Warsaw University of Technology, Poland

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