The research highlights the growing yet uneven adoption of IoT in Saudi universities, identifying key benefits like improved pedagogy and decision-making, while also addressing challenges such as infrastructure, financial, and cultural barriers. It provides strategic recommendations to enhance IoT integration in line with Vision 2030.
Design a Patch Antenna, Simulation of an optimized Antenna using HFSS, A a good quality antenna modeled with good return loss
Our findings provide insights into designing optimized task offloading configurations tailored to specific mobile system characteristics, balancing the benefits of cloud and edge environments.
This research offers a comparative study of two fuel cell electric vehicle (FCEV) designs: one is using an alkaline fuel cell (AFC), and the other is employing a proton exchange membrane fuel cell (PEMFC). The focus is to find superior efficiency of the AFC-powered FCEV over its PEMFC counterpart. The AFC system provides greater electrical efficiency, up to 70% under suitable conditions, compared to around 50% for the PEMFCs. This is because of its lower activation over potential at the cathode and its ability to use non-noble metal catalysts. Additionally, the AFCs benefit from faster electrode reactions and reduced costs due to the use of cheaper materials. The AFC powered FCEV is named as FCEV-A, and that for PEMFC is FCEV-P. In designing the FCEV, a dc/dc boost converter is used to make the fuel cell output voltage higher because its output voltage is not enough for the permanent magnet synchronous motor. An inverter assists to generate ac voltage for the motor. The setup is performed in MATLAB/ Simulink environment. A comparison of the FCEV-A and FCEV-P outputs reveals that the former exhibits better performance.
This study compares the performance of object detection models through data augmentation with a severe weather dataset.
The main objective proposed in this article is to
provide explanations that can justify the validity of the results of
the studies of the interaction between electromagnetic fields and
the human body. While putting the direct applications in the
characterization and modeling of the macroscopic electrical
properties of biological environments and evaluating the effects of
fields induced by sources of electromagnetic radiation on the
human body to establish new standards on human exposure to
electromagnetic fields. To do this, we took into account, on the one
hand, the physical laws based on the Maxwell and Kirchhoff
equations, with the different physical phenomena of propagation
of a 5G electromagnetic plane wave and on the other hand, the
experimental values that can allow us to model the electrical
behavior of the human brain under the influence of 5G
electromagnetic field the Morris-Lecar model is used because it
has the ease of assimilating brain electrical activity. This model
uses the characteristic impedance of the dielectric support and
allows us to evaluate the influence of the current induced by
microwave electromagnetic waves in the brain system studied. The
results of 2D simulations obtained from computer tools
demonstrate that 5G electromagnetic waves can cause the
modification of brain rhythm, the disruption of neuronal
communication, oxidative stress and the opening of various ion
channels that govern the functionality of the brain system. This
modification can have a very significant influence on the life of
the brain’s biological tissue since electromagnetic waves can
influence the frequency and amplitude of electromagnetic signals
in the brain and this can affect cognitive functions in the brain.
This study contributes to the literature on image processing, clustering, and time series forecasting in environmental monitoring. It successfully applied K-means clustering to segment HSV images, effectively tracking vegetation changes over time with high accuracy, despite challenges from lighting variations. The forecasting component, using Prophet, modelled vegetation growth in relation to mining activities through simulated scenarios, providing insights into the impact of external factors on vegetation. These findings enhance clustering techniques for image segmentation and offer a flexible method for monitoring and forecasting vegetation changes, with potential applications in ecological and environmental management.
The paper provides a technical survey for all AI algorithms available to be used for medical image pathology, and also provides a comparison in the performance of the different algorithms.
Several advantages are linked to the integration of
renewable decentralized production sources into electrical networks,
including the reduction of line losses, etc. However, the integration
of decentralized energies, particularly solar PV, can lead to
variations in the direction or amplitude of currents in steady state,
variations in short-circuit currents, changes in voltage, variations in
measured impedances, etc. These variations can have a negative
influence on the proper functioning of the protection plan, including
protection blinding or false tripping. This article presents a
simulation model to predict the influence of the integration of
decentralized solar PV energies on the intensity of short-circuit
currents and the short-circuit power at a node of a power electrical
system. The mathematical equations developed for modeling the
energy elements of the electrical network in which the solar PV RED
is integrated were based on Kirchhoff’s laws and on the currentvoltage characteristic of the modules. The simulation model was
validated using experimental data from a grid-connected PV system
installed in DR Congo. 2D simulations based on proposed models
were developed as well as the verification of the consistency of the
different models, by comparing the fractal dimensions of the results
of our program with those of the figures obtained experimentally.
The results obtained show that the integration of PV solar generators
into the grid has a direct impact on the short-circuit current and the
short-circuit power at the connection point. The aspects developed
in this article could have direct implications in practical applications
in the engineering and design of grid-connected PV systems.
This paper studies the impact of V2G technology in diverse distribution networks.