ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
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373 research outputs found
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An Ultra-wideband Low-power Low-noise Amplifier Linearized by Adjusted Derivative Superposition and Feedback Techniques
Full text linkUltra-wideband (UWB) applications require low-power and low-noise amplifiers (LNAs) that can operate over a wide frequency range. However, conventional LNAs often suffer from poor linearity and high-power consumption. This research work proposes a novel LNA design that uses the adjusted derivative superposition (DS) technique and feedback to improve the linearity and reduce the power consumption of UWB LNAs. The DS technique enhances the third-order intermodulation (IM3) cancellation by adjusting the bias currents of the transistors, whereas the feedback improves the stability and input matching of the LNA. The LNA is implemented using a degenerated common source topology in a 180 nm standard CMOS technology. The simulation results show that the LNA achieves a power gain of 10–12.2 dB, an input third-order intercept point (IIP3) of about 12 dBm, and a noise figure of less than 2.5 dB over the UWB frequency band of 3.1–10.6 GHz. The input reflection coefficient is less than -10 dB, and the power consumption is 11.6 mW with a 1.5 V power supply. The designed LNA offers a novel and innovative solution for UWB applications that significantly improve the performance and efficiency of UWB LNAs whereas reducing the cost and complexity of implementation
Fresh and Mechanical Properties of Concrete Containing Oil-Well Cutting Material
Full text linkOil-well cutting material (OWCM) is a waste generated during the process of oil-well drilling. Its disposal is costly and harmful to the environment. The chemical makeup for the material implies that it might be used as a partial cement replacement in concrete. It is high in calcium oxide, silica, and aluminum oxide, which are the main oxides found in raw materials used to produce cement. Replacing a part of cement by OWCM in concrete mixtures can directly reduce the quantity of the cement used which leads to decreasing the emission of carbon dioxide and solving the disposal problems for the OWCM as well. This process can be considered as a significant step in producing environmentally friendly concrete. This study focuses on investigating the fresh and mechanical properties of different concrete mixes that have different strength grades, containing different percentages of OWCM as a cement replacement. For this purpose, different concrete mixes containing 10%, 15%, 20%, 25%,30%, 35%, and 40% of OWCM as a cement replacement, besides the control Portland cement for the three different concrete strength grades, were prepared. After performing the slump and flow tests, cube specimens were cast and moist-cured for 3, 28, and 90 days and subjected to compression test, whereas 28-day moist-cured cylinder specimens were subjected to splitting tensile test. The test results have revealed that in spite of small reduction in strength with replacing cement by up to 20% of OWCM, the strength of the concrete remains within the designed strength grade ranges
Effects of Crude Plant Extracts from Five Parts of Melia azedarach on Tribolium confusum
Full text linkTribolium confusum is one of the most common pests of many commodities, especially cereals and their products. These pests are known for being the most destructive insect pests attacking and infesting stored flour and grain in soil, warehouses, grocery stores, and homes. Therefore, this study aims to control these pests with an environmentally friendly, healthier, and cost-effective pesticide instead of the common artificial chemicals to practice the current management of cereal storage pest control in the Kurdistan Region of Iraq. For this to be achieved, the toxicity effect of crude plant extracts from five different parts of Melia azedarach in tap water with concentrations of 50%, 60%, 70%, 80%, and 90% at different times (2, 4, 6, 8, and 10 h) against stored-product insect was tested. The toxicity effect of these extracts varied based on the crude plant part extracts, concentrations, and exposure period according to the SAS system investigation on the mortality rate of T. confusum adults (Duncan test). The extracts’ compatibility with treated adults of T. confusum in the clear petri dish was noted. Besides, the number of dead adults was measured by loss of motion
Deep Forest Based Internet of Medical Things System for Diagnosis of Heart Disease
Full text linkDue to advancement in internet of medical things, the conventional health-care systems are transformed into smart health-care systems. The medical emergence services can be significantly enhanced by integration of IoMT and data analytic techniques. These technologies also examine the unexplored area of medical services that are still unseen and provide opportunity for investigation. Moreover, the concept of smart cities is not achievable without providing a smart connected healthcare scheme. Hence, the main purpose of this research is to come up with a smart healthcare system based on IoMT, Cloud and Fog computing and intelligent data analytic technique. The major objective of the proposed healthcare system is to develop a diagnostic model capable for earlier treatment of heart disease. The suggested scheme consists of distinct phases such as data acquisition, feature extraction, FogBus based edge/fog computing environment, classification, and evaluation. In data acquisition, different IoMT such as wearables and sensors devices are considered to acquire the data related to heart disease and the various features related to signal and data are extracted. Further, the deep forest technique is integrated into the proposed system for classification task and effective diagnosis capabilities of heart issues. The performance of the suggested scheme is evaluated through set of well-defined parameters. Comparison with other healthcare model was conducted for the purpose of performance evaluation. It is concluded that the proposed model has a superiority over other all other models in different aspects namely, the sensitivity measure, accuracy measure, and specificity
Using Multilingual Bidirectional Encoder Representations from Transformers on Medical Corpus for Kurdish Text Classification
No full textTechnology has dominated a huge part of human life. Furthermore, technology users use language continuously to express feelings and sentiments about things. The science behind identifying human attitudes toward a particular product, service,or topic is one of the most active fields of research, and it is called sentiment analysis. While the English language is making real progress in sentiment analysis daily, other less-resourced languages, such as Kurdish, still suffer from fundamental issues and challenges in Natural Language Processing (NLP). This paper experimentswith the recently published medical corpus using the classical machine learning method and the latest deep learning tool in NLP and Bidirectional Encoder Representations from Transformers (BERT). We evaluated the findings of both machine learning and deep learning. The outcome indicates that BERT outperforms all the machine learning classifiers by scoring (92%) in accuracy, which is by two points higher than machine learning classifiers
Structural and Optical Properties of Cadmium Sulfide-doped Silver Deposited on Glass and Polymer Substrates by Chemical Spray Pyrolysis
Full text linkThis process of this paper is carried out using thechemical spraying method to produce homogeneous thin films ofpure cadmium sulfide-doped with silver at different percentagesof 1%, 3%, and 5% on glass and polyimide plastic substrates at300°C. The aim is to study the optical and structural properties of the samples and the effect of the silver doping rate on films producedwith these properties. Due to X-ray diffraction studies, all filmscreated had a hexagonal phase, and it was noticed that they had avery precise structure free of holes or cracks. The obtained crystalsize ranged between 22.74 nm and 55.05 nm for different substrates, and the prominent plane was (002). From the optical properties, all films exhibited transmission higher than 60%, thus showing a lowabsorption, which makes them be used as light-permeable layers in the Solar Cell system. In addition, emission peaks were revealed by photo luminescence spectra examination at wavelengths ranging between (542.94 nm) and (546.02 nm), which led to calculate the energy gap (Eg). of the produced films, ranged between (2.27 eV) and (2.28 eV) for the different substrates
Manufacturing and Evaluating of Indirect Solar Dryers: A Case Study for the Kurdistan Region of Iraq
Full text link–Indirect solar drying uses solar radiation to heat air and dry agricultural products in harvest time to store them for a longer time and reduce waste. The dryer consists of a solar air heater collector, a drying chamber, and an air ventilation system. In this study, an indirect solar dryer system is constructed and ventilated with an electrical fan. Experiments are conducted on the system using eggplant as an agricultural sample on 2 consequent days (29th and 30th October 2022), to evaluate the system data recorded during the drying process in terms of the temperature for points in the system, solar radiation, and the sample mass. The temperature measurements are ambient, collector, and dried chamber outlet temperatures. The results show that the most effective time for solar drying is between 9:00 and 16:00, and the drying system air temperature is raised to about 40°C when solar radiation reached more than 600 W/m2 in the noon time. The weighted mass is used to evaluate the drying process, and maximum drying rate and drying efficiency are obtained on the 1st day of the drying before noon time
Immunological Role of Megakaryocytes and Platelets during Influenza A Virus Infection
Full text linkInfluenza viruses pose a serious threat to public health, with severe cases often characterized by lung damage and inflammation. However, the underlying mechanisms of these processes remain poorly understood. This study aimed to investigate the essential role of megakaryocytes (MKs) and platelets (PLTs) in influenza A virus (IAV) infections. Conducted at the Department of Rare Respiratory Diseases, Cystic Fibrosis, and Pulmonology, Nord University Hospital, Marseille, France, the study collected seventy blood samples between October 2018 and March 2019. Samples were obtained from healthy individuals and patients diagnosed with IAV. Messenger RNA was extracted from isolated PLTs and subjected to quantitative real-time-polymerase chain reaction using sets of primers targeting immune marker genes. Western blot analysis was also performed for confirmation, focusing on Fas Ligand (FasL). Results showed that PLTs from IAV-infected individuals expressed the FasL, tumor necrosis factor-related apoptosis-inducing ligand, and Granulysin (GNLY) receptors when activated. Furthermore, an in vitro assay revealed the presence of FasL receptors on infected CMK cell lines. In vivo investigations demonstrated that activated MKs and PLTs in mice also expressed FasL. Interestingly, none of the immune receptors under investigation were found in both MKs and PLTs in mouse model studies. In conclusion, MKs and PLTs play a significant role in influencing immune responses that may help prevent viral spread during infection. However, further examination of their mechanisms of action is warranted. Understanding the involvement of these cells in influenza pathogenesis could offer valuable insights for developing potential therapeutic strategies
Real-time Traffic Monitoring System Based on Deep Learning and YOLOv8
Full text linkComputer vision applications are important nowadays because they provide solutions to critical problems that relate to traffic in a cost-effective manner to reduce accidents and preserve lives. This paper proposes a system for real-time traffic monitoring based on cutting-edge deep learning techniques through the state-of-the-art you-only-look-once v8 algorithm, benefiting from its functionalities to provide vehicle detection, classification, and segmentation. The proposed work provides various important traffic information, including vehicle counting, classification, speed estimation, and size estimation. This information helps enforce traffic laws. The proposed system consists of five stages: The preprocessing stage, which includes camera calibration, ROI calculation, and preparing the source video input; the vehicle detection stage, which uses the convolutional neural network model to localize vehicles in the video frames; the tracking stage, which uses the ByteTrack algorithm to track the detected vehicles; the speed estimation stage, which estimates the speed for the tracked vehicles; and the size estimation stage, which estimates the vehicle size. The results of the proposed system running on the Nvidia GTX 1070 GPU show that the detection and tracking stages have an average accuracy of 96.58% with an average error of 3.42%, the vehicle counting stage has an average accuracy of 97.54% with a 2.46% average error, the speed estimation stage has an average accuracy of 96.75% with a 3.25% average error, and the size estimation stage has an average accuracy of 87.28% with a 12.72% average error
The Local Anesthetic Activity of Lavandula angustifolia and Eugenia caryophyllata Essential Oils
Full text linkPrevious studies show that Lavandula angustifolia (lavender) and Eugenia caryophyllata (clove) essential oils can help relieve dental pain. Clove oil and lavender oil were tested as topical anesthetics in this study on rabbits, and their effects and likely mechanisms of action were analyzed. Clove oil and lavender oil were extracted by hydrodistillation using a Clevenger-setup apparatus. Topically applying lidocaine, clove oil, or lavender oil topically all significantly reduced corneal sensitivity. The sensitivity of the cornea was successfully reduced by treatments consisting of lidocaine at a concentration of 0.5%, 25 μg of clove oil, and 50 μg of lavender oil. When clove oil is applied topically to the cornea, it produces effects similar to those of a local anesthetic due to the involvement of the cholinergic system. To achieve the desired effect of producing local anesthesia in the cornea of the rabbit, lidocaine, clove oil, and lavender oil were applied topically to the animal. A noticeable local
anesthetic effect was produced when sub-anesthetic doses of lidocaine were combined with sub-anesthetic doses of lavender or clove oil.