Cihan University-Erbil Scientific Journal 2024-06-14T06:23:08+00:00 Prof. Amjad Sabir Al-Dalawi [email protected] Open Journal Systems <p>Cihan University-Erbil Scientific journal (CUESJ) is a biannual academic journal published by the Cihan University-Erbil. CUESJ a periodical journal publishes original researches in all areas of Science, Engineering and Technology. CUESJ is a Peer-Reviewed Open Access journal with Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (CC BY-NC-ND 4.0). CUESJ provides immediate, worldwide, barrier-free access to the full text of research articles without requiring a subscription to the journal, and has neither article processing charge (APC) nor article submission charge (ASC). CUESJ applies the highest standards to everything it does and adopts IEEE citation/referencing style. CUESJ Section Policy includes three types of publications; Articles, Review Articles, and Letters. CUESJ has a print-ISSN: <a href="">2519-6979</a>. It is a member of the ROAD with e-ISSN: <a href="">2707-6377</a> and a member of the Crossref with a doi: <a href="">10.24086/issn.2519-6979</a>.</p> Real-Time Vehicles Detection Using a Tello Drone with YOLOv5 Algorithm 2024-01-20T10:56:50+00:00 Shalaw M. Abdallah [email protected] <p>Incorporating Unmanned Aerial Vehicles (UAVs) within Artificial Intelligence systems has given rise to an essential and academically significant approach in the domain of vehicle detection. This study introduces a real-time vehicle detection framework leveraging the you only look once (YOLO) algorithm for precise identification of vehicles, employing the camera on the DJI Tello drone. The research is underpinned by a rich dataset encompassing approximately 2000 images, meticulously annotated with the respective vehicle angles. The framework’s innovation lies in its comprehensive training regimen, encompassing all angles of vehicles: Vehicle-front, vehicle-rear, vehicle-above, and vehicle-sides. This holistic approach aims to yield a model capable of accurately identifying and tracking vehicles from a multitude of viewing angles. The choice of the YOLO algorithm, further enhanced by Ultralytics HUB, ensures the robustness and accuracy required for the detection of moving objects. The model’s capability to effectively track objects is a testament to the algorithm’s efficacy. In assessing the framework’s performance, we employed a comprehensive set of evaluation parameters, including mean average precision, precision, recall, and F1 score. This research not only underscores the practicality of UAVs in the field of artificial intelligence but also highlights the excellence achieved in real-time vehicle detection.</p> 2024-01-20T10:56:49+00:00 ##submission.copyrightStatement## An Overview of Signs and Symptoms to Determine Coronavirus and Omicron Patients in Primary Care and Hospitals 2024-02-04T08:09:19+00:00 Ali M.Hussein [email protected] Hawry A. Majeed [email protected] Naz R. Majeed [email protected] Nza H.M. Ali [email protected] Dashne A. Saeed [email protected] Narmin A. Ali [email protected] <p>Coronaviruses, a type of virus family, cause severe respiratory diseases in people. The coronavirus is most frequently linked to the common cold, but in persons with SARS (severe acute respiratory syndrome) virus infection, it can also lead to serious respiratory sickness. The spread of the coronavirus is by having direct contact with infected saliva, mucus, or blood. Infected surfaces, such as those in hospitals or other healthcare facilities, can potentially spread the infection when touched. Now spreading globally is the Omicron version of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to preliminary studies, the Omicron variant of SARS-CoV-2 has a higher probability of re-infection. To recognize COVID-19 as well as omicron people in hospitals and primary health care, this review study focuses on the symptoms and indications. The data was collected and analyzed from more than one hundred high-impact original research papers to conclude their results and make a comparison between methods and findings.</p> 2024-02-05T00:00:00+00:00 ##submission.copyrightStatement## Estimating Hazard Function through Reliability Function and Empirical Methods 2024-03-20T08:28:34+00:00 Azhin M. Khudhur [email protected] Shvan A. Hama Noory [email protected] Bestoon M. Abdulkareem [email protected] <p>In this research, the reliability functions are applied to estimate the hazard function of four used car components (tires, brakes, lights, engine), which are inspected by aperiodic vehicles inspection (PVI) established in Erbil city, as a specialized company that conducts the annual technical inspection of vehicles to detect the failure component, that either require repair or replace it with a new one. For our purpose, the data about the failure components of a sample of size (50000) cars are obtained from the Erbil traffic directorate, which are annually inspected for 11 years (2010 – 2020) by a (PVI) company. From the available data the reliability function, hazard function, and probability density function of failure time of each component are found by the non-parametric method and the estimated Rayleigh distribution since the failure rates of the components are the linear functions of time, also the comparison between their reliability values have made by the mean absolute error method.</p> 2024-03-20T08:28:32+00:00 ##submission.copyrightStatement## physiochemical and Sensory Properties of Pumpkin and Strawberry Jams Fortified with Chia Seed ( Salvia Hispanica L) 2024-04-11T07:44:57+00:00 Mahmood F. Saleem [email protected] Salar A. Ahmed [email protected] Yaseen Galali [email protected] Nawal H. Sebo [email protected] Ali Yildrim [email protected] Begard S. Najmdaddin [email protected] <p>Supplementation of jams with functional ingredients is one of the methods to develop healthier jams. The aim of this research was therefore to develop functional jams supplemented with chia seed (CS). Five formulations of two types of jams were selected (pumpkin (PJ) and strawberry jams (SJ)&nbsp; ) with different levels ( 0, 1.5, 3, 4.5 and 6% ) of CS was added. The jams were assessed chemically, sensorial and nutritionally a using ICP-OES. The results showed that the introduction of CS into PJ significantly increased protein, ash, cellulose content from 0.35%, 0.55 and 46.43 of control to 0.77%, 1.01 and 54.18 of sample containing 6% CS respectively. However pH, acidity and moisture decreased. Similarly protein, ash , cellulose of SJ jam increased&nbsp; from 0.44%, 0.58&nbsp; and 14.55 of control sample&nbsp; to 0.93%, 0.93 and 16.75 of sample containing 6% CS respectively. Unlike PJ pH, and moisture increased with addition of CS. Antioxidant and total phenol content were not noticeably changed. The sensory data discovered that the addition of CS adversely affected all sensory attributes parallel with CS addition both jams, but appearance color and taste were more influenced particularly in PJ. The addition of CS in PJ increased the content of calcium, iron and zinc from &lt;0.05 mg/kg (control) to 1121, 6.74 and 2.36 respectively. . In conclusion, the data of this study showed the PJ and SJ can be produced by the addition of as high as 6% CS with improved nutritional value and acceptable sensorial properties.</p> 2024-04-10T00:00:00+00:00 ##submission.copyrightStatement## Modification of Adomian Decomposition Method to Solve Two Dimensions Volterra Integral Equation Second Kind 2024-06-14T06:23:08+00:00 Talhat I. Hassan [email protected] Chiman I. Hussein [email protected] <p>In this work, the adomian decomposition method is proposed for the first time to solve problems in two-dimensional Volterra Integral equations of the second kind. In addition, modification of this method is introduced to address this problem. Several new theorems are introduced and proven regarding contractive mapping and uniform convergence to support the method. Numerical problems are solved using the software Matlab to obtain results and demonstrate the efficiency and simplicity of the technique. The modified Adomian decomposition method performs faster than the adomian decomposition method for obtaining results.</p> 2024-06-10T00:00:00+00:00 ##submission.copyrightStatement## Emerging Trends in Applied Mathematics 2024-06-11T11:10:21+00:00 Dlvan O. Muhammed-Amin [email protected] <p>This research explores the emerging trends in applied mathematics and their far-reaching implications in various fields. Machine learning and artificial intelligence are revolutionizing healthcare, finance, and natural language processing. Big data analysis is enhancing decision-making in finance, healthcare, and logistics. Quantum computing promises to transform materials science and renewable energy. These trends are reshaping research and practice, offering innovative solutions and opportunities for interdisciplinary collaboration. Ethical considerations and the development of advanced algorithms are critical areas of future research. This study serves as a foundation for understanding and harnessing the potential of these trends, emphasizing the importance of continuous exploration and skill development in an evolving mathematical landscape.</p> 2024-06-10T00:00:00+00:00 ##submission.copyrightStatement##