Wasit Journal of Engineering Sciences

Managing Doppler effects can be considered a critical technical challenge to ensure stable and efficient communication over millimeter Waves (mm Wave)in 5G networks, especially in high-mobility environments.the combined effects of Doppler shift and AWGN highlight the need for robust receiver designs that challenges simultaneously .this paper provides system model was tested under various scenarios,where both Doppler shift and distortion in the presence of AWGN .Different levels of SNR and Doppler shifts were simulated to observe their joint impact on system performance .The combined presence of Doppler shift and distortion are resulted in a more significant increase of BER rather than each factor could considered individually.The results are demonstrated that at high speed (large Doppler shifts)and low the challenges of maintaining reliable communication in such environments.

These days, researchers have focused on improving the mechanical performance of composite laminates owing to a broad range of their applications in fields like aerospace, military, civil, marine, etc. In this regard, efforts have been made to improve the mechanical and electrical properties of composite laminates by using nanoparticles. For developing high-performance composite laminates, the dispersion of nanoparticles in the composite laminates is significantly important; however, it remains a challenge. This review study focuses on strategies that have been adopted for developing appropriate chemical and physical methods to achieve controlled dispersion of nanoparticles in composite laminates. The effect of nanoparticles on mechanical properties such as tensile and impact strength, compression, and fracture toughness have been discussed thoroughly in this study. Further, this study proves that the addition of conductive nanoparticles to the composite laminates can change their dielectric properties and make them sensors for damage failures during applied loading.

Within the last ten years, several modern technologies were invented, and different types of services were subscribed to and used in daily life. All these are in need of high data rate and wide coverage in respect to mobile communication, and it thus needs an advanced generation to meet these performances as dictated by the end users. This paper is intended to advocate radio-over-fiber technique in 5G systems, improving standards of techniques for ensuring effective wireless communications coverage. But the problem was an issue of nonlinear effect causing some failure in the system performance, especially at a distance of 400km in transmission and data rate impact at fifth generation-the data downloaded is up to 100 GBps. It uses a major concept from signal processing within NG5 RoF for transmission and reception. The defects take place starting off with the use of the transmitted signal at first instance within modulated 16QAM while it reaches receiving through the power account until the filtering to BER, which is taken up to distance transmission, initially starting from the 100 n right up to a distance of 400 km, hence. Worth remarking is that all the models presented in this report were simulated using Optisystem 18.

The construction of buildings and recreational facilities in urban river basins is a well-documented problem that is having a devastating impact on urban infrastructure and human lives due to the increased frequency and severity of extreme rainfall and flooding.The likelihood of flooding cannot be eliminated, although it can be mitigated to some extent.Consequently, future flood control initiatives must priorities integrated strategies that account for both risk uncertainty and flood projections. In order to assess the potential harm, it is crucial to develop a solid approach for flood modelling and mapping.The goal of this study was to develop a flood projection zone by integrating hydrological models with geographic information systems. at the mouth and mouth of the Tigris River at Kut in central Iraq, at the front and rear of the dam.This was accomplished by making use of the hydrological models HEC-GeoRAS and HEC-RAS.locate areas that are at risk of flooding due to varying flow rates.To generate the DEM, a high-resolution topographic scan of the intended area—including the front and rear of the embankment-was employed.The dam was constructed using 6-kilometer-long front and 12-kilometer-long rear cross sections. In order to ascertain the depths of the terrain and its variations, GIS technology was employed.Several areas in the study area experienced flooding.A number of drainages were used to validate the model calibration, and the suitable Mannick coefficient for the area was determined by utilising statistical estimations (NSE, RMSE, MAE). This production quantity corresponds to a maximum flood depth of 17.5 meters.Based on the findings from the analysis using HEC-RAS, it is clear that structures situated in river basins have a significant influence, and a discharge of 2250 m3/s might cause flooding

Electricity stability is decreased and both harmonics and losses are increased throughout the power conversion procedures. The drawbacks of conventional inverters may be addressed with the help of new multilayer inverter designs. Lately, multilevel inverter techniques have become more and more well-liked as an affordable substitute for a range of industrial uses. Several notable characteristics of this design include its smaller component, decreased switching losses, and improved output voltage/current pattern. The most crucial prerequisite for multilayer inverters is the minimization of harmonic components in the output voltage/current. The three distinct power sources that make up the system proposed in the present research are two identical wind turbines and photovoltaic system. Each of these power sources has an output voltage of 1, 2/3, and 1/3 Vdc, respectively. A 7-level output voltage was created by combining all of the DC sources. This paper proposes several situations, all of which have harmonic distortion within acceptable limits, and shows that the suggested system can function even in the event that one of the aforementioned power sources is unavailable. The MATLAB application is used to develop the system.

Epilepsy affects around 50 million people globally and is marked by unpredictable seizures due to abnormal neural activities in the brain. With nearly 30% of epilepsy patients experiencing drug-resistant seizures, there is a crucial need for effective seizure detection. This paper focuses on the challenge of predicting seizures to enable preventive actions. To achieve this the proposed system utilizes the STM32F103C8T6 microcontroller to process data from a 3-axis accelerometer, heart rate sensor and temperature sensor. The collected data is analysed using a fuzzy logic algorithm in MATLAB to interpret sensor readings for identifying seizures. When a possible seizure is detected, notifications are sent through GSM along with the patient’s location provided by GPS. Additionally, the system explores seizure detection methods device’s role in health monitoring and IoT integration in healthcare, with an accuracy rate of 94%. This work contributes to the field of healthcare technology by offering an innovative solution for continuous and automated monitoring of epilepsy patients, ultimately aiming to improve patient safety and quality of life.

Recent years have witnessed significant declines in surface water quantities as a result of population density, climate change, and water pollution. Iraq is one of the countries that has suffered from water scarcity, particularly due to the upstream countries' water usage policies on the Tigris and Euphrates rivers. All indicators suggest that the water situation will transition from abundance to scarcity in the near future. Therefore, and given that most studies have focused on the operational policies of dams and hydraulic structures, there has been a growing need to study and analyse the impact of upstream dam construction on the operation of Iraqi dams, such as Dokan Dam located on the Lesser Zab River. Dokan Dam is one of the most important dams to study due to its size and direct impact on surrounding areas. The aim is to understand the changes in the performance of these structures and the impact of declining water levels. To achieve this objective, and after collecting sufficient data, the HEC-ResSim program was used to study the impact on the dam's operation over a 30-year period from 1980 to 2010. The results showed that HEC-ResSim was effective in simulating the system's operation and studying daily and monthly discharges, as well as its flexibility