Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Extracting dualband antenna response from UWB based on current distribution analysis
Get PDFAn entirely new design approach has been employed to create the printed dualband monopole antenna that was the subject of this investigation. The printed monopole antenna construction is the primary component of the suggested design. CPW transmission lines with 50 Ohm impedance and a relative dielectric constant of 4.6 were used to power the antennas, which were housed in thin substrates with thicknesses of 1.6 millimeters (mm). In this study, the antennas discussed were modeled and analyzed by Computer Simulation Technique (CST) simulator. Using fractal structures on the radiating element of a dualband antenna can improve the resonance of the antenna as well as the coupling of the resonating bands that emerge from the resonance
Evaluation the effectiveness of a non-chopped basalt fiber and water-based of isocyanate-polyester polyol prepolymer on the properties of cement fiberboard
Get PDFCement board reinforced with basalt fibers were prepared by using polymer compounds, 5% of water-based of isocyanate-polyester polyol prepolymer blend was used as a fixed percentage, and the rates of basalt fıber used were 5%, 7.5%, 10%, 12.5%, and for each of them used water/cement ratios (W/C) as 1.4, 1, 0.75, 0.4, and 0.5 respectively. The sample cured for 28 days, and the mechanical and physical properties of cement fiberboard were greatly improved due to additional fibers in cement compounds, the tests procedures of properties were carried out according to ASTM standard c-1185. It results reveals that 12.5% is the best percentage, in bending resistance, water absorption percentage, and the moisture content have improved, but it showed less thermal conductivity compared to other ratios, furthermore the compressive strength was improved. It is essential to indicate when increasing the polymer ratio, leads to a certain decrease in mechanical properties but improves the wetting surface of the basalt fibers and adhesion to cement. Therefore, a 5% polymers ratio chooses and the basalt fıber mix proportions changed to enhance the mechanical and physical properties of fiber board
WQ assessment of water treatment plants using environmental and statistical indicators within Baghdad City
Get PDFThe primary task that is facing most developing countries is the untreated disposal of wastewater into the water bodies. In order to meet the water needs of future generations, the integrated water resources should be managed within a sustainable method. This study illustrates the assessment and judgment of the suitability of Tigris River for drinking purposes using water quality index (WQI) and the selection of the mostly significant water quality WQ parameters that affect Tigris River deterioration using Artificial Neural Network (ANN). Along with Baghdad city, nine stations of Tigris River were assessed for fourteen physicochemical parameters. Results, Tigris River, was classified (poor – polluted) according to the Weighted arithmetic WQI (WA-WQI) with turbidity and Total dissolved solids (TDS) are the most parameter affecting on the WQ
Classification single-lead ECG by using conventional neural network algorithm
Get PDFCardiac disease, including atrial fibrillation (AF), is one of the biggest causes of morbidity and mortality in the world, accounting for one third of all deaths. Cardiac modelling is now a well-established field. The Convolutional Neural Network (CNN) algorithm offer a valuable way of gaining insight into the dynamic behaviors of the heart, in normal and pathological conditions. Great efforts have been put into modelling the ventricles, whilst the atria have received less focus. This research therefore concentrates on developing models of the heart ECG atria using deep learning. The research developed an experimental result on MIT-BIH dataset for modelling myocyte electrophysiology and excitation waves in 1D & 2D tissues. It includes optimizations such as adaptive stimulus protocols. As examples of application, it is used to investigate effects of a novel anion bearing current on heart atrial excitation and the effect of remodeling on atrial myocyte electrical heterogeneity. A computationally efficient CNN anatomically based model of the heart atria is constructed. The 3D-CNN model includes heterogeneous, biophysically detailed electrophysiology and conduction anisotropy. The full model activates in 121 ms in heart rhythm, in close agreement with clinical ECG data. The model is used, with the toolkit, to investigate the function effects of S140G mutation in MIT-BIH dataset which is associated with familial. The 3D-CNN model forms the core of a boundary element model of the P-wave Body Surface Potential (BSP). The CNN model incorporates representations of the heart blood masses. Generated ECGs show qualitative agreement with clinical data. Their morphology is as expected for a healthy person, with a lead duration of 103 ms. The CNN model is used to verify an existing algorithm for focal atrial tachycardia location and in providing explanation for a novel clinical phenomenon, using CNN with 99.27% accuracy. Models of the human atria and body surface potential are constructed. The models are validated against both experimental and clinical data. These models are suitable to use as the platform for further research
Seismic behavior of a strengthened full scale reinforced concrete building using the finite element modelling approach
Get PDFIn Iraq, the increase in earthquake activity was observed, but most of the existing buildings can still suffer from severe injury or destruction, and therefore can cause major issues. In this paper, we performed numerically analyses by experimental modeling to demonstrate efficiency using final element analysis (FEA) in the development of modern solutions (FEA) in the development of modern solutions to maintain existing structures from the risk of earthquakes. Using ABAQUS software that supports dynamic analysis, and uses this model to use models for several ways to enhance the earthquake center. This model was a large-scale 4 building tested using a doctor dynamic test (PSD). Experimental models were performed by extending RC walls with various connectivity details in existing buildings to comply with gravity design only for this building. The goal of this study was to determine the impact of adding an above RC wall as a way of modernization, including the design of Dowels and their contribution to the new mouse wall\u27s connection to the existing RC buildings. These enhancements are performed by converting the selected compartment to the new inlet wall RC [2]. The result of analysis modeling is 4.11% of the proportion of differences in the X direction in the upper layer displacement of Abaqus software and the experimental test of Elsa results, and 2.15% of the negative direction X is 4.11%. an accurate similarity and exact building modeling. After verification process, three earthquake enhancement methods are used Next analysis
Investigation and optimization of machining parameters in electrochemical machining of aluminium metal matrix composites
Get PDFMetal matrix composites (MMCs) have been increasingly used in industries, nuclear plant, and automobiles due to their superior properties compared to other alloys, and that is owing to the tough and abrasive hard reinforced particles. It’s complicated to machine hard materials by traditional processes methods, therefore the present study focused on the investigation of parameters in electrochemical machining (ECM) like electrolyte concentration (EC), voltage(V), and Inter-electrode gap (IEG) on the radial over cut (ROC) and material removal rate (MRR) in the ECM of Al-7.5%B4C. Stir casting method was used to fabricate metal matrix composites. Based on Taguchi design, the process parameters were optimized. A Multiple Regression Model (MRM) was employed as model for radial over cut and material removal rate. The mathematical model was examined using analysis of variance (ANOVA). The EC 10 g/L, V 10 v, and IEG 0.3 mm are the optimal parametric combination for ROC. Also, the EC 30 g/L, V 18 V, and IEG 0.2 mm are the optimal parametric combination for MRR
DevOps model in practice: Applying a novel reference model to support and encourage the adoption of DevOps in a software development company as case study
Get PDFDevOps has emerged as an approach to help organizations automate, cost optimization, increase profitability, improve the stability of the software development process and the responsiveness of organizations, and create a more agile development and release pipeline. However, its adoption, maintenance and evaluation continue to be a challenge for software organizations, due to the absence of solutions that formalize process elements in a detailed way, such as: practices, roles, artifacts, objectives, among others. This paper presents a DevOps Model, this model to support the adoption of DevOps, which provides a set of fundamental and complementary values, principles, dimensions, and practices. The practices suggest a set of items such as purpose, specific objectives and expected artifacts. The elements defined in proposed DevOps Model arise from the elements found in the studies analyzed through a systematic mapping study. Model evaluation was carried out through a software development company as case study. The results obtained have allowed the case study company to evaluate, diagnose and identify improvement opportunities to be carried out in the processes and projects where a DevOps-based approach is used, the above in a practical, useful, and adequate way that allows this type of companies and with a low use of resources, both economic investment and time. This is how the DevOps Model could guide professionals and organizations towards a better understanding of DevOps, in addition to minimizing the subjectivity and error of its interpretation, adoption and evaluation
Accuracy enhancement in indoor positioning system based on visible light communication
Get PDFThe travelled signals that used to estimate the distances between LEDs and the target undergo from non-line-of-sight (NLOS) link in indoor positioning system (IPS) utilizing visible light communication (VLC) technology. This could present a significant error in identifying their positions. In this paper, we design an IPS based on a new hybrid technique using VLC technology for accuracy enhancing. To begin, the target\u27s position is determined using a weighted least square positioning method. Next, a maximum likelihood positioning approach is used to relocate the target\u27s position, starting with the estimated position as an initial point. Simulations present that the created algorithm performs better than weight least squares and conventional maximum likelihood methods
Design and implementation 4x4 Network on Chip (NoC) using FPGA
Get PDFNetwork on Chip is one of the most crucial in the development of the networks and routers in new days due to the improvement that make through way of sending huge packets of data and technology and protocol that used for sending the packets between IP cores. Also, the NoC is removed the old ways of technique and protocols of sending packets through routers. The NoC is the most enhanced and efficient in working in parallel ways. Hence, Field Program Gate Array (FPGA) is used in the designing of router that its architecture depending on the NoC. The research proposed in this paper proposed 4x4 nodes router with mesh network that support two-dimensional architecture. A real time test is used for experimental through FPGA and the test verified efficient packets transporting via two array buffers that integrated in the proposed router architecture
Smart pedestrian network is an approach for promoting walkability: A case of Riyadh city
Get PDFSPN is an important aspect of smart and sustainable mobility in cities that promote walkability (SPN) walking is becoming an important component of transportation and urban policies to achieve more sustainable development. Riyadh\u27s rapid urban expansion and population growth have increased pedestrian accidents and damaged people\u27s daily walking conditions during the last four decades. As a result, implementing the Smart Pedestrian Network has the potential to significantly increase walkability and create more sustainable urban spaces. The research technique is deductive, with modern technology playing a significant part in introducing new ways to pedestrian path planning and design, ultimately improving this form of transportation in Riyadh. The current paper concluded with proposed guidelines for strategic implementation using the Smart Pedestrian Network system and a conceptual framework for smart pedestrian networks, both of which could add value to exploring the pedestrian network in more advanced ways in Riyadh. The application of a smart network for pedestrians resulted in increased walkability and satisfaction with walking in Riyadh city, according to the findings