ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY
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373 research outputs found
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An Innovative Embedded Processor-Based Signal Phase Shifter Algorithm
Full text linkDigital filtration is widely used today in many application fields, and with the increased use of low-cost embedded processors, it can be applied to vast areas. A drawback of digital filtration algorithms is the introduction of phase angle shifts in the filtered signals, thereby creating undesirable characteristics in many application fields. In this work, low-pass filters of finite impulse response and infinite impulse response types are designed with an innovative buffering scheme to delay a digitally low-passed signal by an angle ranging from 0° to 180° for real-time signals. The application of the filtration and buffering scheme on a cost-effective embedded processor with limited signal processing capabilities opens the horizons for its applicability in many signal processing fields. In assessing its practicality, the generated filtered output signal is correlated with the original signal (a low-passed version), revealing correlation values reaching 0.99 in certain instances. The novelty of the proposed approach enables its application to a broad-spectrum area of digital signal filtration
Analysis and Design of a Box Culvert Using Bentley Culvert Master Software: Qoshtapa Culvert as a Case Study
Full text linkBox culverts are utilized in situations where natural stream flow intersects with roads and railway lines. This research utilizes a digital elevation model and the water Modeling System software to assess the catchment area of the primary valley and identify the factors contributing to flooding in Qoshtapa City. The study involves an analysis of the existing culvert and generated the necessary data for the design of a new culvert. Despite the presence of the existing culvert, floodwater levels rose to over 1 m above the roadway elevation of Erbil-Kirkuk during the last flood event in 2021–2022. The research collected hydrological and climatic data for the study area, conducted soil type analysis using the Harmonized World Soil Database software, and performed hydraulic calculations to estimate the maximum flood discharge of the valley using the Hydrological Engineering Center-Hydrological Modeling System software for flood return periods of 50, 100, and 200 years, for design, to select the best economic alternative. The new culvert design was executed using Bentley Culvert Master software to ensure that floodwaters can flow through the culvert without rising to street level. The results indicated that the new culvert design surpasses the capacity of the existing one. The results show that the best economic alternative hydraulic design is the first alternative capacity of 201 m3/s of a 100-year return period; the new design cross-section area of the culvert is 52.5 m2
New Thiazole Derivatives: Potent Antifungal against Candida albicans, with silico Docking Unveiling Key Protein Interactions
Full text linkWhile bacterial superbugs have garnered much attention, the rise of antifungal resistance poses a growing threat. This study explores the potential of newly synthesized 2,5-Bis(3,4 Dialkoxy Phenyl) Thiazolo[5,4-d] Thiazoles (DATTn compounds) as antifungal agents. Notably, DATTn compounds demonstrated significant fungicidal activity against Candida albicans, a major fungal pathogen, whereas remaining largely ineffective against common bacterial strains, such as Staphylococcus aureus and Escherichia coli. In silico docking simulations using Schrödinger suites unveiled the molecular basis for this selectivity, revealing strong interactions between DATTn molecules and a crucial fungal protein (Portion Data Bank ID: 8JZN) in C. albicans. These findings highlight the potential of DATTn compounds as promising leads for the development of novel antifungal therapies, particularly in light of escalating drug resistance concerns
Graphical User Authentication Algorithms Based on Recognition: A survey
Full text linkIn cyber security, the most crucial subject in information security is user authentication. Robust text-based password methods may offer a certain level of protection. Strong passwords are hard to remember, though, so people who use them frequently write them on paper or store them in file for computer .Numerous of computer systems, networks, and Internet-based environments have experimented with using graphical authentication techniques for user authentication in recent years. The two main characteristics of all graphical passwords are their security and usability. Regretfully, none of these methods could adequately address both of these factors concurrently. The ISO usability standards and associated characteristics for graphical user authentication and possible attacks on nineteen recognition-based authentication systems were discussed. In this study, differentiation table of attack patterns for all recognition-based techniques is shown. Finally, the positive and negative aspects of nineteen methods were explained in the form of a detailed table
A Comprehensive Framework for Integrating Robotics and Digital Twins in Façade Perforation
Full text linkIn contemporary design practices, the conflict between initial design approaches and subsequent manufacturing and construction stages presents a notable challenge. To address this disparity, our study aims to establish a comprehensive digital design workflow, bridging these gaps. The authors introduce a conceptual framework that seamlessly integrates the imperatives of LEED with the realm of robotic manufacturing, specifically tailored for construction sites. The proposed methodology encompasses four distinct iFOBOT modules: iFOBOT-environment, iFOBOT-design, iFOBOT-construct, and iFOBOT-monitor. The integration of these modules allows for a holistic approach to design and construction, fostering efficient collaboration between multidisciplinary teams. To validate the efficacy of the author’s approach, we conducted an empirical study involving the creation of a double-skin facade panel perforation using this integrated process. Initial findings emphasize the enhanced constructability achieved through simulated robotic interventions utilizing a heuristic function. Moreover, this research presents a functional prototype as a tangible embodiment of the method’s practical application and potential impact on the field of architectural design and construction
A Review on Adverse Drug Reaction Detection Techniques
Full text linkThe detection of adverse drug reactions (ADRs) is an important piece of information for determining a patient’s view of a single drug. This study attempts to consider and discuss this feature of drug reviews in medical opinion-mining systems. This paper discusses the literature that summarizes the background of this work. To achieve this aim, the first discusses a survey on detecting ADRs and side effects, followed by an examination of biomedical text mining that focuses on identifying the specific relationships involving ADRs. Finally, we will provide a general overview of sentiment analysis, particularly from a medical perspective. This study presents a survey on ADRs extracted from drug review sentences on social media, utilizing and comparing different techniques
Thermal Dynamics in Optical Networks: Analyzing Spectral Bandwidth Reduction and Signal Distortion
Full text linkThe signal distribution of any fiber-optic network system is an important factor in optical communication, which determines the quality of the optical signal transmission. One of the important effects is the temperature degrees; that effect is on the main parameters of optical communication (of which the fiber optic is the main part). The main material in fiber optics is glass. And as is well known, temperature has a strong effect on the glass, especially the core of fiber optics, because the structure of fiber optics contains several glass layers with different refractive indexes. Hence, in the present article, the effect of temperature on the optical signal and other components of the optical network system has been analyzed and studied. The analysis includes aberration, dispersion, and distortion of the optical network communication signal. The result has been discussed and analyzed for variables in the BW of the spectral when the temperature changed
Structural Characterization of Salts Using X-ray Fluorescence Technique: Experiments on Samples Collected from Kurdistan Region of Iraq
Full text linkThis study investigates the structure of 21 table salts that were collected from different local markets in the Kurdistan region of Iraq. The major trace elements and iodine concentrations in tablesalt are analyzed through the X-ray fluorescence (XRF) technique and the titration method, respectively. The study shows that using XRF spectral analysis, the collected table salt samples are rich in chlorine, sodium, and contain a lower percentage of bromine, strontium, tin, tellurium, and iodine. Moreover, these samples have a high percentage of sulfur and sirconium, where the molybdenum is >0.2%. Other elements such as zinc and copper are essential and found in low concentrations <0.0086% and 0.001%. Iodine is a trace element that is necessary nutrients for human life, and it is naturally present in some foods. Iodine deficiency is brought on by a lack of iodine consumption. Iodized salt is highly recommended as a source of iodine to prevent iodine deficiency disease. Iodine is added to table salt in two different ways, either through iodate or through iodine. The results show that only 25% of the salt samples have an adequate level of iodine, while the other samples have low or no iodine content. According to the World Health Organization, quality of salt depends on iodine concentration and other trace elements, which are necessary for human health
Optimizing Emotional Insight through Unimodal and Multimodal Long Short-term Memory Models
Full text linkThe field of multimodal emotion recognition is increasingly gaining popularity as a research area. It involves analyzing human emotions across multiple modalities, such as acoustic, visual, and language. Emotion recognition is more effective as a multimodal learning task than relying on a single modality. In this paper, we present an unimodal and multimodal long short-term memory model with a class weight parameter technique for emotion recognition on the CMU-Multimodal Opinion Sentiment and Emotion Intensity dataset. In addition, a critical challenge lies in selecting the most effective fusion method for integrating multiple modalities. To address this, we applied four different fusion techniques: Early fusion, late fusion, deep fusion, and tensor fusion. These fusion methods improved the performance of multimodal emotion recognition compared to unimodal approaches. With the highly imbalanced number of samples per emotion class in the MOSEI dataset, adding a class weight parameter technique leads our model to outperform the state of the art on all three modalities — acoustic, visual, and language — as well as on all the fusion models. The challenges of class imbalance, which can lead to biased model performance, and using an effective fusion method for integrating multiple modalities often result in decreased accuracy in recognizing less frequent emotion classes. Our proposed model shows 2–3% performance improvement in the unimodal and 2% in the multimodal over the state-of-the-art achieved results
Synthesis Development and Molecular Docking Study of New Azo Chalcone Derivatives
Full text linkThis work is divided into two main parts. The first part involves the synthesis of new azo chalcone compounds through a two-step process. Initially, azo compounds are synthesized by diazotizing 3-nitroaniline, followed by a coupling reaction with 4-hydroxyacetophenone, which has a terminal ketone group. Subsequently, the resulting product undergoes a Claisen–Schmidt condensation reaction with various aromatic aldehyde substrates to produce new α, β-unsaturated ketones, known as azo chalcone compounds. The successful synthesis of these compounds is confirmed using Fourier-transform infrared spectroscopy, ¹HNMR, and ¹³C NMR spectral analyses. The second part of this study explores the theoretical biological activity of the synthesized compounds against severe acute respiratory syndrome coronavirus 2 through molecular docking studies. The results indicate potential antiviral properties for each compound, with compounds B5 and B8 exhibiting the most promising results. These compounds achieved higher docking scores (ΔG −6.235 kcal/mol and −5.832 kcal/mol, respectively) and each formed four hydrogen bonds with the target protein