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High data-rate Hilbert-curved-shaped MIMO antenna with improved bandwidth and circular polarization for wireless cap-sule endoscopy
- Syed Misbah un Noor
- Syed Ahson Ali Shah
- Shahid Khan
- Izaz Ali Shah
- Jamal Nasir
- Salahuddin Khan
- Sławomir Kozieł
2024 Pełny tekst IEEE Access
The growing demand for wireless communication in biomedical engineering has opened new research frontiers. This paper introduces an innovative miniaturized (4 × 9 mm2) multiple-input multiple-output (MIMO) circularly polarized (CP) implantable antenna for a wireless capsule endoscopy (WCE) system. The presented device features two Hilbert curve-shaped meandered resonators. The space-filling characteristic inherent in the Hilbert curve contributes to miniaturization and bandwidth enhancement of up to 250 MHz to cover possible detuning between diverse organs. Simultaneously, employing the curve’s inherent natural symmetry and adopting an orthogonal port arrangement led to a noteworthy improvement in isolation up to 27 dB with an enhanced gain of −27.9 dBi. Comprehensive simulation analysis of antenna-integrated WCE systems in homogeneous and hetrogenous environments is conducted in the stomach, small intestine, and large intestine. Without the need for an external decoupling structure, the system demonstrated good MIMO characteristics with isolation of 27 dB. A fabricated prototype has been tested in a saline solution and minced pork. A good match between the measured and simulated results has been observed. At both ports, the axial ratio (< 3 dB) covers part of the ISM band in the homogeneous stomach, small intestine, and large intestine phantoms. Additionally, a safety assessment, employing a realistic human model, aligns findings with established safety guidelines, revealing average specific absorption rates of 543 W/kg (1 g) and 58.6 W/kg (10 g) at 2.45 GHz. Moreover, link budget analysis confirms reliable wireless data transmission up to 1.8 m at 78 Mbps. The proposed MIMO antenna, with its superb dominant characteristics, outperforms leading state-of-the-art endoscopic antennas, offering promising advancements for capsule endoscopy systems.
High Efficiency Dual-Active-Bridge Converter with Triple-Phase-Shift Control for Battery Charger of Electric Vehicles
- Shih-hao Kuo
- Huang-Jen Chiu
- Che-Wei Chiang
- Ta-Wei Huang
- Yu-Chen Chang
- Serafin Bachman
- Szymon Piasecki
- Marek Jasiński
- Marek Turzyński
2024 Pełny tekst ENERGIES
An optimal modulation scheme with triple-phase-shift (TPS) control could increase the efficiency in the entire load range for a dual-active-bridge (DAB) converter under wide output voltage range conditions. Therefore, this study proposes a convergent approach to TPS mode selection, coupled with an optimal modulation scheme, ensuring the circuit’s efficiency over the entire range in the realm of a high-power and high-efficiency battery charger for electric vehicles. The convergent approach to TPS mode selection also reduces the numerous cases for small-signal analysis through general average modeling. After verifying the small-signal models under various voltage transfer ratios and load conditions to verify the stability, a converter prototype with a rated power of 15 kW is built and tested. Thus, a peak efficiency of 97.7% can be achieved.
High frequency oscillations in human memory and cognition: a neurophysiological substrate of engrams?
- Michał Kucewicz
- Jesus Garcia Salinas
- Jan Cimbalnik
- Gregory A. Worrell
- Milan Brazdil
2024 Pełny tekst Brain: A Journal of Neurology
Despite advances in understanding the cellular and molecular processes underlying memory and cognition, and recent successful modulation of cognitive performance in brain disorders, the neurophysiological mechanisms remain underexplored. High frequency oscillations beyond the classic electroencephalogram spectrum have emerged as a potential neural correlate of fundamental cognitive processes. High frequency oscillations are detected in the human mesial temporal lobe and neocortical intracranial recordings spanning gamma/epsilon (60-150 Hz), ripple (80-250 Hz) and higher frequency ranges. Separate from other non-oscillatory activities, these brief electrophysiological oscillations of distinct duration, frequency and amplitude are thought to be generated by coordinated spiking of neuronal ensembles within volumes as small as a single cortical column. Although the exact origins, mechanisms, and physiological roles in health and disease remain elusive, they have been associated with human memory consolidation and cognitive processing. Recent studies suggest their involvement in encoding and recall of episodic memory with a possible role in the formation and reactivation of memory traces. High frequency oscillations are detected during encoding, throughout maintenance, and right before recall of remembered items, meeting a basic definition for an engram activity. The temporal coordination of high frequency oscillations reactivated across cortical and subcortical neural networks is ideally suited for integrating multimodal memory representations, which can be replayed and consolidated during states of wakefulness and sleep. High frequency oscillations have been shown to reflect coordinated bursts of neuronal assembly firing and offer a promising substrate for tracking and modulation of the hypothetical electrophysiological engram.
High resolution optical and acoustic remote sensing datasets of the Puck Lagoon
- Lukasz Janowski
- Dimitrios Skarlatos
- Panagiotis Agrafiotis
- Paweł Tysiąc
- Andrzej Pydyn
- Mateusz Popek
- Anna M. Kotarba-Morley
- Gottfried Mandlburger
- Łukasz Gajewski
- Mateusz Kolakowski
- Alexandra Papadaki
- Juliusz Gajewski
2024 Pełny tekst Scientific Data
The very shallow marine basin of Puck Lagoon in the southern Baltic Sea, on the Northern coast of Poland, hosts valuable benthic habitats and cultural heritage sites. These include, among others, protected Zostera marina meadows, one of the Baltic’s major medieval harbours, a ship graveyard, and likely other submerged features that are yet to be discovered. Prior to this project, no comprehensive high-resolution remote sensing data were available for this area. This article describes the first Digital Elevation Models (DEMs) derived from a combination of airborne bathymetric LiDAR, multibeam echosounder, airborne photogrammetry and satellite imagery. These datasets also include multibeam echosounder backscatter and LiDAR intensity, allowing determination of the character and properties of the seafloor. Combined, these datasets are a vital resource for assessing and understanding seafloor morphology, benthic habitats, cultural heritage, and submerged landscapes. Given the significance of Puck Lagoon’s hydrographical, ecological, geological, and archaeological environs, the high-resolution bathymetry, acquired by our project, can provide the foundation for sustainable management and informed decision-making for this area of interest.
Higher harmonics of the intensity modulated Photocurrent/Photovoltage spectroscopy response - a tool for studying photoelectrochemical nonlinearities
- Adrian Olejnik
- Katarzyna Grochowska
2024 Pełny tekst MEASUREMENT
In this work, a higher harmonic analysis (HHA) of the intensity modulated photocurrent/photovoltage (IMPS/IMVS) spectroscopy data is proposed as a potent tool for studying nonlinear phenomena in photoelectrochemical and photovoltaic systems. Analytical solutions of kinetic equations were constructed for cases of single and double resonance accounting for various sources of higher harmonics. These sources correspond to the physical sources of nonlinear effects in the response including intensity-dependent generation current, intensity-dependent recombination, and second-order recombination. Due to the fact that the solutions for those cases are different, a qualitative methodology for analysis of harmonics is proposed. The methodology is illustrated by two experimental examples – Si photodiode for IMVS and TiO2 nanotubes for IMPS. It was capable of distinguishing second order recombination in the first case and intensity-dependent transport rate for the latter.
Highly Integrable Planar-structured Printed Circularly Polarized Antenna for Emerging Wideband Internet of Things Applications in the Millimeter-Wave Band
- Ullah Ubaid
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
2024 Pełny tekst Scientific Reports
This paper proposes a numerically and experimentally validated printed wideband antenna with a planar geometry for Internet of Things (IoT) applications. This design tackles the challenges associated with deploying IoT sensors in remote areas or across extensive geographical regions. The proposed design exploits a coplanar-waveguide-fed modified microstrip line monopole for excitation of circularly polarized waves radiating in the broadside direction. The primary design is based on perturbations of the microstrip line protracted from a grounded coplanar waveguide. The capacitively coupled short rectangular stubs are periodically inserted alternately and excited asymmetrically on each side of the microstrip line parallel to the direction of the electric field vector. The sequential phase excitation of the periodic stubs generates a rectangular-cascaded electric field, which suppresses the stop band at the open end. As a result, the antenna radiates in the broadside direction. The impedance bandwidth of the antenna exceeds 8 GHz in the 28 GHz mm-wave band, i.e., it ranged from 25 GHz to 33.5 GHz. Additionally, an axial ratio below 3 dB is achieved within the operating band from 26 GHz to 33.5 GHz with the alterations of the surface current using straightforward topological adjustments of the physical parameters. The average in-band realized gain of the antenna is 10 dBic when measured in the broadside direction. These results indicate that the proposed design has the potential to improve the connectivity between IoT devices and the constantly varying orientation of satellites by mitigating the polarization mismatch.
Highly sensitive microwave sensors based on open complementary square split-ring resonator for sensing liquid materials
- Chandu Ds
- K.B.S. Sri Nagini
- Rusan Kumar Barik
- Sławomir Kozieł
2024 Pełny tekst SENSORS
This paper presents high-sensitivity sensors based on open complementary square split-ring resonator and modified open complementary split-ring resonator operating at 4.5 GHz and 3.4 GHz, respectively. The sensors are designed for the detection of multiple liquid materials, including distilled water, methanol, and ethanol. The liquid under test is filled in a glass container loaded using a pipette. Compared to the conventional OCSSRR, the modified OCSSRR with multiple rings exhibits a higher frequency shift of 1200 MHz, 1270 MHz, and 1520 MHz for ethanol, methanol, and distilled water, respectively. The modified sensor also demonstrates a high sensitivity of 308 MHz/RIU for ethanol concentration which is the highest among the existing microwave sensors. The sensors in this manuscript are suitable for multiple liquid material sensing applications.
Highly-Compact Dual-Band Bandpass Waveguide Filter Based on Cross-Shaped Frequency-Dependent Coupling
- Lubina Irum
- Muhammad Yameen Sandhu
- Adam Lamęcki
- Roberto Gomez-Garcia
- Michał Mrozowski
2024
This work reports the design of an original class of highly-compact dual-band bandpass filter based on dual-mode waveguide resonators inter-coupled through a novel type of frequency-dependent coupling (FDC). The devised FDC consists of a cross-shaped metallic structure placed in the broad wall of a rectangular waveguide. This FDC produces two additional poles and three extra transmission zeros (TZs). Specifically, each pole is surrounded by a pair of TZs, thus generating a dual-band bandpass filtering response. An equivalent lumped-element circuit model of the proposed FDC is provided to facilitate the filter synthesis process. For validation purposes, electromagnetic-(EM)-simulation results for a third-order dual-band bandpass filter design made up of two dual-mode rectangular waveguide resonators inter-coupled with a cross-shaped FDC are presented.
Highly-Miniaturized Microfluidically-Based Frequency Reconfigurable Antenna Diplexer Employing Half-Mode SIRW
- Rusan Kumar Barik
- Sławomir Kozieł
2024 AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
This article introduces a super-miniaturized frequency reconfigurable antenna diplexer based on microfluidic techniques. The proposed structure is developed using a half-mode substrate-integrated rectangular waveguide (HMSIRW). The antenna architecture consists of two HMSIRW cavities loaded with L-shaped slots, which are excited by two microstrip feedlines to realize two distinct radiating frequency bands. The footprint of the antenna diplexer is miniaturized by using the half-mode cavities. Further size reduction is achieved by the capacitive loading of the slots. The design evaluation, radiation mechanism, parametric analysis, and equivalent circuit model are discussed in detail. The empty fluidic vias are drilled on the bottom plane of the cavities and poured with various dielectric liquids to obtain independent frequency reconfigurability at two operating bands. For validation, a frequency reconfigurable antenna diplexer is designed, manufactured, and demonstrated experimentally. The measured results show that the return loss, isolation, and realized gains are greater than –20 dB, 28 dB, and 3.3 dBi, respectively, while ensuring small footprint of only 0.071λg2. The fabricated diplexer exhibits a frequency reconfiguration range greater than 17% at both frequency bands.
High-performance activation of ozone by sonocavitation for BTEX degradation in water
- Kirill Fedorov
- Lingshuai Kong
- Chongqing Wang
- Grzegorz Boczkaj
2024 Pełny tekst JOURNAL OF ENVIRONMENTAL MANAGEMENT
This work presents a novel advanced oxidation process (AOP) for degradation of emerging organic pollutants – benzene, toluene, ethylbenzene and xylenes (BTEXs) in water. A comparative study was performed for sonocavitation assisted ozonation under 40–120 kHz and 80–200 kHz dual frequency ultrasounds (DFUS). Based on the obtained results, the combination of 40–120 kHz i.e., low-frequency US (LFDUS) with O3 exhibited excellent oxidation capacity degrading 99.37–99.69% of BTEXs in 40 min, while 86.09–91.76% of BTEX degradation was achieved after 60 min in 80–200 kHz i.e., high-frequency US (HFDUS) combined with O3. The synergistic indexes determined using degradation rate constants were found as 7.86 and 2.9 for LFDUS/O3 and HFDUS/O3 processes, respectively. The higher extend of BTEX degradation in both processes was observed at pH 6.5 and 10. Among the reactive oxygen species (ROSs), hydroxyl radicals (HO•) were found predominant according to scavenging tests, singlet oxygen also importantly contributed in degradation, while O2•- radicals had a minor contribution. Sulfate (SO42−) ions demonstrated higher inhibitory effect compared to chloride (Cl−) and carbonate (CO32−) ions in both processes. Degradation pathways of BTEX was proposed based on the intermediates identified using GC-MS technique.
High-Performance Machine-Learning-Based Calibration of Low-Cost Nitrogen Dioxide Sensor Using Environmental Parameter Differentials and Global Data Scaling
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
- Marek Wójcikowski
- Bogdan Pankiewicz
2024 Pełny tekst Scientific Reports
Accurate tracking of harmful gas concentrations is essential to swiftly and effectively execute measures that mitigate the risks linked to air pollution, specifically in reducing its impact on living conditions, the environment, and the economy. One such prevalent pollutant in urban settings is nitrogen dioxide (NO2), generated from the combustion of fossil fuels in car engines, commercial manufacturing, and food processing. Its elevated levels have adverse effects on the human respiratory system, exacerbating asthma and potentially causing various lung diseases. However, precise monitoring of NO2 requires intricate and costly equipment, prompting the need for more affordable yet dependable alternatives. This paper introduces a new method for reliably calibrating cost-effective NO2 sensors by integrating machine learning with neural network surrogates, global data scaling, and an expanded set of correction model inputs. These inputs encompass differentials of environmental parameters (such as temperature, humidity, atmospheric pressure), as well as readings from both primary and supplementary low-cost NO2 detectors. The methodology was showcased using a purpose-built platform housing NO2 and environmental sensors, electronic control units, drivers, and a wireless communication module for data transmission. Comparative experiments utilized NO2 data acquired during a five-month measurement campaign in Gdansk, Poland, from three independent high-precision reference stations, and low-cost sensor data gathered by the portable measurement platforms at the same locations. The numerical experiments have been carried out using several calibration scenarios using various sets of calibration input, as well as enabling/disabling the use of differentials, global data scaling, and NO2 readings from the primary sensor. The results validate the remarkable correction quality, exhibiting a correlation coefficient exceeding 0.9 concerning reference data, with a root mean squared error (RMSE) below 3.2 µg/m3. This level of performance positions the calibrated sensor as a dependable and cost-effective alternative to expensive stationary equipment for NO2 monitoring.
High-speed multi-stage gas-steam turbine with flow bleeding in a novel thermodynamic cycle for decarbonizing power generation
- Paweł Ziółkowski
- Łukasz Witanowski
- Piotr Klonowicz
- Dariusz Mikielewicz
2024 Pełny tekst RENEWABLE ENERGY
In the global pursuit of sustainable energy and reduced carbon footprints, advances in power generation techniques play a crucial role, not only in meeting the ever-increasing energy demands but also in ensuring that environmental standards are maintained and that the health of our planet is prioritized for future generations. In the ongoing quest for sustainable energy solutions, novel high-speed multi-stage gas-steam turbine models were designed to address the challenge of decarbonized power production. The thermodynamic parameters were adopted on the basis of the negative carbon dioxide gas power plant cycle relying on the following main devices, namely: wet combustion chamber, spray-ejector condenser, sewage sludge gasifier and gas-steam turbine. The peculiarities of the present system make the turbine the link of three important devices and its parameters affect the entire thermodynamic cycle. Therefore, it is reasonable to carry out dedicated novel in literature CFD calculations that also take into account the bleeding of the medium for the gasification process. Two distinct turbine models were introduced: a two-stage turbine achieving speeds of 95 000 rpm with an efficiency of more than 80 %, and a five-stage turbine reaching 40 000 rpm with an efficiency of less than 70 %. A design assumption of a bleed pressure of 100 kPa and a mass flow rate of 0.1 kg/s was adopted for both models. Computational simulations were utilized, and the turbine stages were selected with the aim of reducing energy losses. Through this work, a significant step towards a carbon-negative future using high-speed turbine technologies was demonstrated, laying the groundwork for further advancements in the field.
High-temperature transport properties of entropy-stabilized pyrochlores
- Tadeusz Miruszewski
- Florianne Vayer
- Daniel Jaworski
- David Berardan
- Claudia Decorse
- Beata Bochentyn
- Denis Sheptyakov
- Maria Gazda
- Nita Dragoe
2024 JOURNAL OF APPLIED PHYSICS
In this report, the high-temperature transport properties of (Dy1−xCax)(Zr0.2Hf0.2Sn0.2Ti0.2Ge0.2)O7 pyrochlore oxides with x = 0, 0.05, and 0.1 are studied in dry and humid air. The phase composition and crystal structure were determined by using x-ray and neutron diffraction. The addition of calcium to the structure caused an increase in the concentration of oxygen vacancies, indicating an ionic charge compensation mechanism. Electrical studies allowed us to determine the total electrical conductivity as a function of the synthesis atmosphere and pH2O. The electrical conductivity turned out to be at the level of ∼10−3 S/cm at 800 °C, and only a slight effect of the presence of protonic defects in the structure on the total electrical conductivity was observed. In general, the samples had a low electrical conductivity with a relatively high activation energy of conduction.
HMSE: A tool for coupling MODFLOW and HYDRUS-1D computer programs
- Mateusz Pawlowicz
- Bartosz Balis
- Adam Szymkiewicz
- Jirka Simunek
- Anna Gumuła-Kawęcka
- Beata Jaworska-Szulc
2024 Pełny tekst SoftwareX
A new software HMSE has been developed to facilitate external coupling between two well-known programs for subsurface flow modeling: MODFLOW-2005 (saturated zone flow) and HYDRUS-1D (unsaturated zone flow). Two coupling schemes have been implemented. In the first case the groundwater recharge flux is calculated by HYDRUS-1D assuming a fixed water table position and then passed to MODFLOW input files. In the second case the water table position in HYDRUS-1D is updated periodically using the solution from MODFLOW. HMSE can be deployed in 3 modes: local, Docker and Kubernetes cluster. A web-based interface is provided to configure and run the simulation in all three cases. The software is applied to simulate groundwater table fluctuations observed in a shallow aquifer during three years.
Holistic collision avoidance decision support system for watchkeeping deck officers
- Rafał Szłapczyński
- Joanna Szłapczyńska
- Mateusz Gil
- Marcin Życzkowski
- Jakub Montewka
2024 Pełny tekst RELIABILITY ENGINEERING & SYSTEM SAFETY
The paper presents a 3-stage synthesis-based Decision Support System for watchkeeping deck officers. Its functional scope covers conflict detection, maneuver selection, and maneuver execution, all phases supplemented by collision alerts. First, a customized elliptic ship domain is used for checking if both OS and TS will have enough free space. A survey-based navigators’ declarative OS arena is then used to determine the time at which OOW would like to take evasive action. Next, a safety level is assigned to the current situation based on the predicted violations of the ship domain and the declarative arena. The safety levels are also attributed to potential evasive maneuvers (single actions combining course alteration and rudder deflection). For a selected maneuver, Collision Avoidance Dynamic Critical Area (CADCA) is displayed, which informs OOW about the time window when the maneuver remains feasible. All of the above contribute to a holistic system of multi-level safety assessment utilizing: empirical ship domain, survey-based declarative arena, and ship dynamics-based CADCA. These, in turn, take into account navigators’ knowledge and preferences, ship maneuverability, and the impact of environmental conditions. The system is presented in three real-life scenarios located in the southern part of the Baltic Sea around the Danish straits.
How digital platforms support public values through government-citizen collaboration?
- Grażyna Musiatowicz-Podbiał
2024 Pełny tekst
Digital platforms are becoming a popular means of multi-sided interactions between public institutions and their constituents. By enabling information sharing, consultation, and other forms of government-citizen collaboration, they facilitate co-decision-making and co-creation. Although digital platforms are not, the mechanism through which they can create public value, although important for government institutions and citizens alike, has not been systematically studied yet. This research aims at establishing a link between digital platform-based government-citizen engagement and how such engagement can generate public value. To this end, it employs the mixed method approach consisting of the systematic literature review and the analysis of 15 case studies of representative digital government platforms. The research delivers two main observations. First, digital government platforms produce three common public values: openness, government-citizen dialogue, and productivity gains. Second, unleashing the digital platforms’ public value creation potential requires infrastructural foundations, inducements for governments to engage, and mutual benefits for citizens, businesses and the government itself.
How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe
- Aleksandra Parteka
- Joanna Wolszczak-Derlacz
- Dagmara Nikulin
2024 Pełny tekst TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
This paper uses a sample of over 9 million workers from 22 European countries to study the intertwined relationship between digital technology, cross-border production links and working conditions. We compare the social consequences of technological change exhibited by three types of innovation: computerisation (software), automation (robots) and artificial intelligence (AI). To fully quantify work-related wellbeing, we propose a new methodology that amends the information on remuneration by reference to such non-monetary factors as the work environment (physical and social), career development prospects, or work intensity. First, we show that employee wellbeing is related to the type of technological exposure. Employees in occupations with a high degree of software or robot exposure face worse working conditions – contrary to highly AI exposed occupations. Thus, we find that AI technologies differ from previous waves of technological progress - also in relation to workers' wellbeing. Additionally, we show that the relationship between digital technology and working conditions weakly depends on participation in global production chains.
How does the Relationship Between the Mistakes Acceptance Component of Learning Culture and Tacit Knowledge-Sharing Drive Organizational Agility? Risk as a Moderator
- Wioleta Kucharska
- Tomasz Balcerowski
- Maciej Kucharski
- Jari Jussila
2024 Pełny tekst
Changes in the business context create the need to adjust organizational knowledge to new contexts to enable the organizational agile responses to secure competitiveness. Tacit knowledge is strongly contextual. This study is based on the assumption that business context determines tacit knowledge creation and acquisition, and thanks to this, the tacit knowledge-sharing processes support agility. Therefore, this study aims to expose that there is a strong link between the tacit knowledge flow across the organization and its ability to respond agilely (timely, accurately, and creatively) to contextual changes. Based on the sample composed of 640 Polish knowledge workers and data analyzed with the structural equation modeling method (SEM), this study delivers empirical evidence that tacit knowledge flow is vital for organizational agility. The obtained results confirmed that tacit knowledge sharing mediates between the mistakes acceptance component of learning culture and agility. It means agility, understood asthe ability to respond agilely to contextual changes, requires being charged by new, contextual, tacit knowledge obtained thanks to trial-error actions (learning by doing) achievable thanks to breaking conventions and experimentation. Moreover, risk management skills have been proven to be one of the critical characteristics of agile organizations today.
How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Image
- Tomasz Kocejko
- Nikodem Matuszkiewicz
- Jakub Kwiatkowski
- Piotr Durawa
- Aleksander Madajczak
2024 Pełny tekst SENSORS
This study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation states. Additionally, this work presents a system for obstacle detection based on image processing. The implemented system constitutes a complementary part of the interface. The main contributions of this work include the proposal of a modified 10–20-electrode setup suitable for motor imagery classification, the design of two convolutional neural network (CNNs) models employed to classify signals acquired from sixteen EEG channels, and the implementation of an obstacle detection system based on computer vision integrated with a brain-machine interface. The models developed in this study achieved an accuracy of 83% in classifying EEG signals. The resulting classification outcomes were subsequently utilized to control the movement of a mobile robot. Experimental trials conducted on a designated test track demonstrated real-time control of the robot. The findings indicate the feasibility of integration of the obstacle detection system for collision avoidance with the classification of motor imagery for the purpose of brain-machine interface control of vehicles. The elaborated solution could help paralyzed patients to safely control a wheelchair through EEG and effectively prevent unintended vehicle movements
How Sport Innovations Can Shape Sustainable Cities: An Interdisciplinary Approach
- Narek Parsamyan
- Aleksander Orłowski
2024 Pełny tekst Problemy Ekorozwoju
Leveraging the potential of sport can play a significant role in shaping cities of tomorrow, generate environmental and social change. The integration of sport into city planning can provide multiple benefits, such as promoting physical activity, health, well-being, and enhancing social cohesion. However to date, there is a lack of research on the potential of sport innovations to enhance the sustainable development of cities. This study aims to explore the role of sport innovations in sustainable cities through systematic literature review, utilizing interdisciplinary approach that combines sport and urban management disciplines to understand how sport innovations affects the sustainable living. The findings of this study identify sustainable references in sport innovations literature, including best practices for integrating sport into urban planning and development, and thus verifying their contribution to the sustainable development of cities in areas of social inclusion, community participation, collaboration and networking, organizational strategy.