The performance of Infrastructure-to-vehicle (I2V) visible light communication (VLC) links is influenced by multiple elements, rendering fixed modulation order inadequate for data transmission. Consequently, adaptive ...
The performance of Infrastructure-to-vehicle (I2V) visible light communication (VLC) links is influenced by multiple elements, rendering fixed modulation order inadequate for data transmission. Consequently, adaptive modulation techniques become necessary for optimal communication quality in different traffic scenarios. However, to enable proper modulation type selection and avoid unnecessary overhead, modulation format identification at the receiver end becomes crucial. Therefore, this paper proposes an automatic modulation format identification (AMFI) scheme based on deep learning (DL) specifically for the I2V-VLC application scenario. Two different features are considered, the first one utilizes the constellation diagram of received modulated signals, while the second is a novel scheme, it employs the Voronoi diagram. Various VLC modulation formats are further taken into account, including Q/8/16-phase shift keying (PSK) and 4/8/16/32/64-quadrature amplitude modulation (QAM). Benchmark pre-trained classifiers such as AlexNet, SqueezeNet, and GoogleNet are employed and their accuracies are compared. Additionally, the impact of different weather conditions on the model’s accuracies is investigated. The findings illustrate the efficiency of the proposed approach in accurately identifying the VLC modulation format, even in diverse weather conditions and at low signal-to-noise ratio values.
This paper describes the development of an IoT device prototype for measuring biogas release parameters. Through the device, measurements are made, and statistics are accumulated based on which calculations are perfor...
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This work presents photonic crystal fibres made up of four hexagonal shape of four rings. Four structures have been designed and configured. The structures show improvement in optical properties consecutively to achie...
This work presents photonic crystal fibres made up of four hexagonal shape of four rings. Four structures have been designed and configured. The structures show improvement in optical properties consecutively to achieve the optimum configuration. The full vectorial finite-element method is adopted for this work. COMSOL Multiphysics is used for the simulation. The results show a birefringence of 1.308 × 10−2 at 1.55 µm and tuneable double zero dispersion at wavelengths of 0.99 µm and 1.8 µm for x-polarisation mode. Also, the chromatic dispersion of − 24.062 ps/km nm and nonlinear coefficient of 30.32 W−1 km−1 are obtained at a telecommunication wavelength of 1.55 µm. The proposed photonic crystal fibre can be beneficial in nonlinear and supercontinuum applications since photonic crystal fibres of double zero dispersion demonstrate higher power spectral densities than single zero dispersion.
Current automated fact-checking (AFC) approaches commonly evaluate evidence either implicitly via the predicted verdicts or by comparing retrieved evidence with a predefined closed knowledge source, such as Wikipedia....
Also the maintenance world is heading towards the era of artificial intelligence applied to the evaluation of the residual life of devices and predictive maintenance. On the other hand, when the operating conditions c...
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Also the maintenance world is heading towards the era of artificial intelligence applied to the evaluation of the residual life of devices and predictive maintenance. On the other hand, when the operating conditions can change significantly and randomly, influencing the performance of the system subject to aging phenomena, then the use of a stochastic hybrid approach for the reliability modeling of the system can lead to a closer representation of the reality. This latter approach is applied to the evaluation of the costs associated with the preventive maintenance of the bearings of a centrifugal pump used in petroleum processes. The evaluation is obtained by means of the Monte Carlo simulation methodology.
Satellite-Ground Integrated Networks (SGINs) are promising network architectures that can help reduce the load on terrestrial networks, provide mega-access capabilities and intensive task offloading functions. However...
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We are very glad to welcome our colleagues - young scientists, researchers and practitioners to the 10-th IEEE Open Conference of Electrical, electronic and Information Sciences (eStream' 2023), held in Vilnius Ge...
We show that, for each of five datasets of increasing complexity, certain training samples are more informative of class membership than others. These samples can be identified a priori to training by analyzing their ...
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Big data is expanding quickly in terms of volume, value, veracity, and velocity, making it challenging to process, acquire, and analyze the data. Big data analytics is becoming more and more well-liked as a technique ...
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This paper introduces the Biometrics Data Space framework, which is a secure ecosystem built on Data Spaces technology and it is designed to address the challenges of suspect identification during cross-border crime i...
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