Rasheed Al-Arami Honors Portfolio

Rasheed Al-Arami\u27s honors portfolio captured in November 2017

Determination of Saline Soils Specific Gravity

The existence of salts as part of the solid phase of the soil or dissolved within the pore fluid may cause significant errors in the values of specific gravity of such soils by using conventional determination methods. Errors may arise from effects of wrong measurements of weights or volumes that take place due to dissolution of the salt during testing, precipitation during drying or dehydration of the crystals of certain salts such as gypsum. To overcome this confusion, the standard procedure for specific gravity determination is reconsidered and the calculation methods are reanalyzed. Suggestions for a more adequate procedure for gypseous or other types of saline soils are presented and corrections required for computations are derived

Performance Evaluation of Small Scale Air-Conditioning System Using R22 and Alternative Refrigerants

A mathematical model has been formulated to predict the influence of high outdoor air temperature on the performance of small scale air - conditioning system using R22 and alternative refrigerants R290, R407C, R410A. All refrigerants were investigated in the cooling mode operation. The mathematical model results have been validated with experimental data extracted from split type air conditioner of 2 TR capacity. This entailed the construction of an experimental test rig which consists of four main parts. They are, the refrigeration system, psychrometric test facility, measuring instrumentation, and auxiliary systems. The conditioned air was maintained at 25 0C dry bulb and 19 0C wet bulb for all tests. The outdoor ambient air temperature was varied from 35 0C to 55 0C in 5 0C increments. The study showed that R290 is the better replacement for R22 when the air conditioning system works under high ambient temperature. It has better performance as a drop in refrigerant. R407C has the closest performance to R22, followed by R410A

Aggregated Modelling Analysis Of Power Flow From Wind Power Plant Into Grid System Using MATLAB/ SIMULINK Software

In consistent with the growth in demand, complexity of electric power systems has evolved to meet the requirements of supply. Power is generated from non-renewable, fossil fuels and nuclear fuel while renewable energy resources mainly include solar and wind. Power from Wind plants WP has shown a fast growth in the last decades due to their economic benefits especially at areas with the proper wind speed and the possibility to connect wind generators in distribution or transmission power networks. Conventional power unit generators are of high generation capacities, therefore smaller numbers are required in power plant, in other hand wind turbines WP are of smaller capacities therefore, Wind Power Plants (WPPs) consist of dozens or hundreds of low-power units. Time domain simulations of WPPs may take too much time if detailed models are considered in such studies while reduced order models used in interconnection studies of synchronous machines with full converter technology significantly reduce computational time (1, 2). The performance of all models is evaluated based on time domain simulations in the Simulink/MATLAB environment. The work includes the simulation of 50 MW WPP constructed from 18 MW doubly fed induction generators (DFIGs) aggregated (reduced) to one system of Nx2.78 MW generation capacity interconnected to existing conventional system network through 132 kV grid. The analysis includes active and power flow at the farm and the PCC terminals also power flow at PCC has been assessed for different level of WP penetration. Outputs from the MATLAB/SIMULINK modeling and simulation introduces the level of the grid voltage, current active and reactive power in the PCC and the wind farm terminal

A survey on short-range WBAN communication; technical overview of several standard wireless technologies

In a healthy environment, a WBAN system is the key component or aspect of the patient monitoring system. WBAN systems allow for easy networking with other devices and networks so that healthcare professionals can easily access critical and non-critical patient data. One of the main advantages of WBAN is the remote monitoring of patients using an Intranet or the Internet. There are two main components to the type of communication technology used in WBAN. This page shows an insight of a variety of short-range standardized wireless devices, as well as a taxonomy of short-range technologies. These are proposed as intra-BAN communication candidates for communication within and between body area network (BAN) entities. This paper also highlights the advantages and disadvantages of the WBAN perspective. Finally, a side-by-side comparison of the basic principles of using MICS frequency bands and preparatory technologies

Buckling of Nonprismatic Column on Varying Elastic Foundation with Arbitrary Boundary Conditions

Citation: Ahmad A. Ghadban, Ahmed H. Al-Rahmani, Hayder A. Rasheed, and Mohammed T. Albahttiti, “Buckling of Nonprismatic Column on Varying Elastic Foundation with Arbitrary Boundary Conditions,” Mathematical Problems in Engineering, vol. 2017, Article ID 5976098, 14 pages, 2017. doi:10.1155/2017/5976098Buckling of nonprismatic single columns with arbitrary boundary conditions resting on a nonuniform elastic foundation may be considered as the most generalized treatment of the subject. The buckling differential equation for such columns is extremely difficult to solve analytically. Thus, the authors propose a numerical approach by discretizing the column into a finite number of segments. Each segment has constants  (modulus of elasticity),  (moment of inertia), and  (subgrade stiffness). Next, an exact analytical solution is derived for each prismatic segment resting on uniform elastic foundation. These segments are then assembled in a matrix from which the critical buckling load is obtained. The derived formulation accounts for different end boundary conditions. Validation is performed by benchmarking the present results against analytical solutions found in the literature, showing excellent agreement. After validation, more examples are solved to illustrate the power and flexibility of the proposed method. Overall, the proposed method provides reasonable results, and the examples solved demonstrate the versatility of the developed approach and some of its many possible applications

Hepatic protective effect of grape seed proanthocyanidin extract against Gleevec-induced apoptosis, liver Injury and Ki67 alterations in rats

Gleevec (imatinib) is an antineoplastic chemotherapeutic agent used in the treatment of many types of cancer. The current study was conducted to examine the possible modifying effects of grape seeds proanthocyandins extract (GSPE) against apoptosis, liver injury and Ki67 alterations induced by Gleevec in male rats. 40 male albino rats were equally divided into four groups (First and second groups were control and GSPE groups; third group was Gleevec group and fourth group was treated with Gleevec and GSPE). Gleevec induced elevations in P53 and depletion of Bcl2 levels in liver tissues were compared with the control group. Liver sections in rats treated with Gleevec exhibited marked cellular infiltrations, vacuolar degeneration hepatocytes, numerous apoptotic cells, and congestion in central and portal veins, as well as a significant increase in the proliferating of Ki67 after Gleevec injection as compared with control group. In contrast, treatment with Gleevec and GSPE showed a moderate to good degree of improvement in hepatocytes with a significant increase in Ki67, a decrease in P53 and an increase in Bcl2 levels in liver tissues compared to treatment with Gleevec. Therefore, Gleevec induces apoptosis, injury and Ki67 changes in rat liver, whereas GSPE modulates these alternations

The Effect of Omeprazol in the Treatment of Laryngeal Manifestations of Gastro-oesophageal Reflux

Background: Reflux laryngitis has gain a lot of attention in the last three decades as a possible explanation of idiopathic laryngeal problems.Acid suppressive therapy can be of use in both the therapeutic and the diagnostic fields.The use of Omeprazole has proved to be of benefit in the diagnosis and treatment of reflux laryngitis.The response to 12weeks course of Omeprazole is considered by many authors to be one of the diagnostic tooles of reflux laryngitis. Aim: Is to study the effect of Omeprazole in the treatment of laryngeal manifestations of gastro-oesophageal reflux Patients and methods: This is a prospective study of 37 patients attending Alkadhimiyah teaching hospital,department of otolalyngology during the period from April 2005 to April 2006,complaining of symptoms suggestive of reflux laryngitis.The chief compliant of each patient was taken as a reference for the improvment.Complete clinical examination was done for each patient as well as videolaryngoscopy.Oesophagogastroscope was done at the department of gastroenterology. According to the findings seen in those patients,a course of Omeprazole 20mg bid was given for 12 weeks.Re-examenation including videolaryngoscopy was done at 6thand12thweeks of treatment.Oesophagogastroscopy was repeated at 12th week of treatment. Resultst: There was symptomatic improvement in the chief complaint and improvement in the videolaryngoscopic findings in 29patients(78.38%)at the end of treatment course with omeprazole.  Conclusion: We found that Omeprazole is effective in producing symptomatic relief in the chief complaint in 78.38% of patients at the end of treatment course

Lung cancer classification using data mining and supervised learning algorithms on multi-dimensional data set

These With recent developments in machine learning, data mining and computer vision, there is great potential for improvements in early detection of lung cancer using scans and data available. This paper details the methods and techniques used in our project, where the objective is to develop algorithms to determine whether a patient has or is likely to develop lung cancer using dataset images using data mining and machine learning for the classification and examination. We explore approaches to address the problem. Cancer is the most important cause of death globally. The disease diagnosis is a major process to treat the patients who are affected by cancer disease. The diagnosis process is more difficult comparatively known about the cancer disease detection. Developing a proposed data mining model is useful to diagnose the cancer disease once the cancer detection is accomplished using data mining for the examination and classification of machine learning supervised algorithms

Three-dimensional kidney’s stones segmentation and chemical composition detection

Kidney stones are a common and extremely painful disease and can affect any part of the urinary tract. Ultrasound and computed tomography (CT) are the most frequent imaging modalities used for patients with acute flank pain. In this paper, we design an automated system for 3D kidney segmentation and stones detection in addition to their number and size evaluation. The proposed system is built based on CT kidney image series of 10 subjects, four healthy subjects (with no stones) and the rest have stones based on medical doctor diagnosis, and its performance is tested based on 32 CT kidney series images. The designed system shows its ability to extract kidney either in abdominal or pelvis non-contrast series CT images, and it distinguishes the stones from the surrounding tissues in the kidney image, besides to its ability to analyze the stones and classify them in vivo for further medical treatment. The result agreed with medical doctor's diagnosis. The system can be improved by analyzing the stones in the laboratory and using a large CT dataset. The present method is not limited to extract stones but, also a new approach is proposed to extract the 3D kidneys as well with accuracy 99%