Parking guidance and authentication system

Whenever the number of parking lots became large the problems related to parking management became more complicated. The most two important problems that related to large parking places are: First, the long searching time for available lots, especially at the peak time. The second problem is the unauthorized-parking situations. Nowadays, there are parking guidance systems that guide the drivers toward the available lots. As a result, reduce the searching time for available lots, as well as reduce the congestion in that parking area. However, these systems do not solve the problem of unauthorized-parked vehicles. This study aims to combine along with guidance system, a mechanism to verify the legality of vehicles parked at authorized-parking lots. Therefore, this study will focus on two modules which are the detection module and the identification module. In the detection module, wireless sensors such as ultrasonic and y-axis magnetometers have proven their ability in detecting vehicles. And in the identification module, active RFID including both tag and reader are very suitable for this purpose. This project has significant implications for large institutions, by making the parking lots that allocated to their staff within the same customer parking area. In addition, it reduces the required manpower for managing that parking area

Implementation of harris corner detector on fpga

Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its performance with noisy images exceeds many other methods, in terms of accuracy and stability. Various methods are used to compare images and detect moving objects such as block matching but these methods are slow and have less accuracy. Moreover, the implementation of HCD has been proven to be computationally intensive, therefore, real-time streaming is difficult to achieve with sequential software implementation. This report presents the hardware implementation of HCD using Field-Programmable Gate Array (FPGA). The targeted board for the design is DE2-115 FPGA development board with an Altera Cyclone IV device. The architecture was tested using a SystemVerilog test-bench, enveloped by a MATLAB test-bench. The accuracy of the results obtained was tested visually and compared with the results of the same algorithm implemented in MATLAB. A maximum operational frequency of 170 MHz was achieved. The system uses 40% of the board’s logic elements. Resource utilization and timing performance are considerably balanced compared to recent works

Evaluation the Oxidative Stress in Patients with Diabetes Mellitus (Type I and Type II) and Study Genetic Level of Glutathione-S-transferase mu 1.

Diabetes mellitus is a group of metabolic diseases. Hyperglycemia in diabetes creates free radicals .These free radicals produce oxidative stress and thus debilitate the endogenous antioxidant defense system. The present study was conducted in (75) diabetic patients, (25) of them were treated with insulin, other (25) were using insulin and metformin and the last (25) were on metformin and glibinclimide .The study also included (25) apparently healthy subjects were taken as control group. These groups were collected from Merjan Teaching Hospital from November 2013 to April 2014. Bothe the (insulin & metformin) and (metformin & glibinclimide groups)groups were highly significant decrease in the total antioxidant when compared with control group ( p ≤0.01)  and no significant difference between them also the results showed insulin group was significant decrease against control (p value = 0.036) . LSD test shows there was no significant difference in glutathione S-transferase activity in three treated groups (p ≥ 0.05). In the gene level of the study, genotyping of glutathione S-transferase mu 1gene by PCR were defined as GSTM1 and GSTM0 or deletion association to the present and absences of the guanine nucleotide in the gene sequence. There was statistically difference in the genotyping distribution and the frequency of   GSTM0 among study groups were 44% for insulin and metformin group, 68% for metformin and glibinclimide, 44% insulin and 28% for control healthy group. Conclusions raised from the present study involve that diabetes mellitus association with decrease total anti-oxidant capacity. Genetic polymorphism of glutathione S-transferase mu 1gene may be considered as risk factor for both types of diabetes mellitus

Developing a Model Based on the Radial Basis Function to Predict the Compressive Strength of Concrete Containing Fly Ash

A supplemental pozzolanic material such as fly ash may result in a reduction in the concrete’s adverse environmental effect by reducing the discharge of carbon dioxide throughout the cement production procedure. This pozzolanic material also enhances the mechanical characteristics as well as the durability of concrete material. Considering the boundless passion for utilizing fly ash and conducting extensive research studies, the extent to which this supplement can be added to concrete has a limitation equal to almost one-third of cement material’s weight. In the current study, a model based on the Radial Basis Function (RBF) is developed to estimate the compressive strength of concrete containing various amounts of fly ash at any arbitrary age. Having parameters used as inputs in ANN modeling such as concrete additives and characteristics of fly ash, the output was compressive strength. It was concluded that the estimated results agree well with the experimental measurements with an MSE of 0.0012 for the compressive strength. Simple and practical equations are proposed to present a simple means to determine the compressive strength of fly ash-based concrete

Peptidomimetic and Non- Peptidomimetic Derivatives as Possible SARS-CoV-2 Main Protease (Mpro) Inhibitors

To design novel inhibitors of the SARS-CoV-2 main protease (Mpro), we investigated the binding mode of the recently reported α-ketoamide inhibitors of this enzyme. Following, we utilized in-silico screening to identify 168 peptidomimetic and non-peptidomimetic compounds that are high probability Mpro binding candidates. The compounds were synthesized in 5 to 10 mg for initial screening for their potential inhibition of Mpro using Fluorescence Resonance Energy Transfer (FRET) assay. The study was conducted using the main protease, MBP-tagged (SARS-CoV-2) Assay Kit (BPS Bioscience, #79955-2), and the fluorescence due to enzymatic cleavage of substrate measured using BMG LABTECH CLARIOstar™, a fluorescent microplate reader, with an excited/emission wavelength of 360 nm/460 nm, respectively. The FRET assay showed 29 compounds to exhibit lower fluorescence compared to the positive control, indicating inhibitory activity, with three of the compounds exhibiting over 50% enzymatic inhibition. The assay average scores were plotted as dose inhibition curves using variable parameter nonlinear regression to calculate the IC50 values. To design more potent inhibitors, an in-silico molecular docking simulation using the SARS-CoV-2 Mpro crystal structure was conducted to investigate on a molecular level the key binding residues at the active site, as well as the possible binding modes and affinity of the lead inhibitors. Additionally, an in-silico study of the compounds\u27 molecular properties and physicochemical profiles was performed to predict their pharmacokinetic properties and assess their suitability as potential orally active drug candidates.https://scholarscompass.vcu.edu/gradposters/1139/thumbnail.jp

Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform

Loss of energy, decrement of efficiency, and decrement of the effective diameter of the oil pipe are among the consequences of scale inside oil condensate transfer pipes. To prevent these incidents and their consequences and take timely action, it is important to detect the amount of scale. One of the accurate diagnosis methods is the use of non-invasive systems based on gamma-ray attenuation. The detection method proposed in this research consists of a detector that receives the radiation sent by the gamma source with dual energy (radioisotopes 241 Am and 133 Ba) after passing through the test pipe with inner scale (in different thicknesses). This structure was simulated by Monte Carlo N Particle code. The simulation performed in the test pipe included a three-phase flow consisting of water, gas, and oil in a stratified flow regime in different volume percentages. The signals received by the detector were processed by wavelet transform, which provided sufficient inputs to design the radial basis function (RBF) neural network. The scale thickness value deposited in the pipe can be predicted with an MSE of 0.02. The use of a detector optimizes the structure, and its high accuracy guarantees the usefulness of its use in practical situations

Application of Artificial Intelligence for Determining the Volume Percentages of a Stratified Regime’s Three-Phase Flow, Independent of the Oil Pipeline’s Scale Thickness

As time passes, scale builds up inside the pipelines that deliver the oil or gas product from the source to processing plants or storage tanks, reducing the inside diameter and ultimately wasting energy and reducing efficiency. A non-invasive system based on gamma-ray attenuation is one of the most accurate diagnostic methods to detect volumetric percentages in different conditions. A system including two NaI detectors and dual-energy gamma sources ( 241 Am and 133 Ba radioisotopes) is the recommended requirement for modeling a volume-percentage detection system using Monte Carlo N particle (MCNP) simulations. Oil, water, and gas form a three-phase flow in a stratified-flow regime in different volume percentages, which flows inside a scaled pipe with different thicknesses. Gamma rays are emitted from one side, and photons are absorbed from the other side of the pipe by two scintillator detectors, and finally, three features with the names of the count under Photopeaks 241 Am and 133 Ba of the first detector and the total count of the second detector were obtained. By designing two MLP neural networks with said inputs, the volumetric percentages can be predicted with an RMSE of less than 1.48 independent of scale thickness. This low error value guarantees the effectiveness of the intended method and the usefulness of using this approach in the petroleum and petrochemical industries

Surgical Approaches to Congenital Anomalies of Esophagus

With prevalence of about 1 in 3000 live births, pediatric surgeons commonly deal with esophageal abnormalities, which may provide substantial clinical complications. Surprisingly, the embryologic processes underlying esophageal atresia (EA) with or without tracheoesophageal fistula (TEF), one of the hallmark disease entities of pediatric surgery, have only lately been largely uncovered. When it comes to the treatment of congenital esophageal abnormalities, notably esophageal atresia and tracheoesophageal fistula, surgical methods are essential. In order to address the anatomical abnormalities and restore normal function, surgical correction is often necessary in the care of congenital esophageal anomalies, including esophageal atresia and tracheoesophageal fistula. In this review we are going to cover surgical approaches to repair those malformations, long-term outcomes, and latest developments in esophageal surgical approaches

Investigating the impact of preslaughter handling intensity on goats: a study on behavior, physiology, blood enzymes, and hormonal responses

IntroductionThe present study evaluated the effect of preslaughter stress intensities on the behavioral, physiological, blood biochemicals, and hormonal responses in goats.MethodsTwenty-seven intact male goats (Ardi breed, 10 months of age, 27 kg liveweight) were divided into three treatment groups viz., the control (C) group, ear pulling (EP) group, and leg pulling (LP) group. Various behavioral, physiological, blood biochemical and hormonal responses were recorded before and after handling.Results and DiscussionThe EP and LP goats had a higher frequency and intensity of vocalization as compared to control goats. The preslaughter handling stress intensities had a significant effect on the before and after handling values of heart rate, respiration rate, rectal temperature, and ear temperature. Further, among groups, the glucose value increased significantly upon preslaughter handling as compared to the baseline value. The LP goats had significantly higher after-handling value for lactate dehydrogenase (LDH) as compared to the before-handling value. The catecholamines (adrenaline and noradrenaline) and β-endorphin concentrations increased significantly upon preslaughter handling. The higher physiological, behavioral, blood biochemical, and hormonal response indicated higher preslaughter stress in EP and LP goats. Both levels of intensity revealed unfavorable responses in goats that may adversely affect animal welfare and meat quality. Thus, to ensure minimal adverse effects on behavior, physiology, blood enzymes, and hormonal responses, it is recommended to follow animal welfare principles when implementing preslaughter handling practices

Overview On Surgical Management Of Overactive Bladder

Overactive bladder syndrome is a persistent and incapacitating disorder that has profound medical, psychological, and social implications, greatly impacting the wellbeing of countless individuals globally. A significant number of individuals experience urine urgency, which can be extremely bothersome. The primary indicator of overactive bladder (OAB) is a sense of urgency, often accompanied by increased urine frequency and nocturia. After ruling out other medical conditions with similar symptoms, the initial approach to managing OAB is providing guidance on fluid consumption and bladder training. If needed, antimuscarinic medicines may be added as a supplement. If patients have significant distress from OAB symptoms even after maximizing medicinal treatment, they may choose to undergo invasive procedures. There is currently a limited understanding of the hierarchical structure of central nervous system control. However, the use of functional imaging is starting to reveal the difficulties that need to be addressed in this area. Current research is exploring the use of botulinum neurotoxin-A injection, oral β3-adrenergic agonists, and innovative methods for nerve stimulation as potential therapies. The inherent subjectivity of urine urgency, the absence of animal models, and the complex pathophysiology of overactive bladder (OAB) pose substantial obstacles to achieving effective clinical therapy