Adaptive Neuro-Fuzzy Inference System of friction factor and heat transfer nanofluid turbulent flow in a heated tube

AbstractIn this paper, estimating of hydrodynamics and heat transfer nanofluid flow through heated tube has been conducted by using Adaptive Neuro-Fuzzy Inference System (ANFIS). The CFD data related to three types of nanofluids (Al2O3, SiO2 and TiO2) flow in horizontal tube with 19 mm diameter and 2000 mm length. Heat flux around tube is fixed at 5000W/m2, the range of Reynolds number is (3000–30,000) and volume concentrations are (1% and 2%). ANFIS model has three input data presented by Reynolds number, volume concentration of nanofluids and materials and two output presented predicting friction factor and Nusselt number in the tube. The simulation results of proposed algorithm have been compared with CFD simulator in which the mean relative errors (MRE) are 0.1232% and 0.1123 for friction factor and Nusselt number respectively. Finally, ANFIS models can predict hydrodynamics and heat transfer of the higher accuracy than the developed correlations

The relationship between H. pylori infection and lung cancer cross sectional study

Background: Helicobacter pylori infection is a common disease and leads to many gastrointestinal and respiratory diseases. It is suspected that one of these respiratory diseases is lung cancer. Methods: sixty patients with lung cancer and one hundred twenty control subjects have been included to this study. All enrolled subjects (lung cancer patients and controls) underwent a15 minute, lateral flow immunoassay for the qualitative detection of IgG antibodies anti-H. Pylori in human serum (CTK Biotech, Inc USA) and a lateral immunochromatographic assay for the qualitative detection of H. Pylori antigen in human fecal specimen (CTK Biotech,Inc USA) , A p value of <0.05 was considered as significant. The statistical data analysis was performed with SPSS 22. . Results: The H.pylori seropositivity was (41 /60) (68.3) %in patients with lung cancer but only (16/ 120) (13.3) %in controls and this difference in H.pylori seropositivity between cancers and controls was statistically significant P<0.016. The odds ratio for the association of H.pylori and lung cancer was 3.6 (95% CI =1.24 – 4.8), The H.pylori stool antigen was (22/60) (36.7) % in patients with lung cancer but only (14/120) (11.7) %there is statistically significant P<0.001. Conclusion increase the prevalence of H.pylori seropositivity was (68.3) %in patients with lung cancer more than  in normal controls (13.3) %

Object detection and recognition in complex scenes

Dissertação de Mestrado, Engenharia Informática, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2014Contour-based object detection and recognition in complex scenes is one of the most dificult problems in computer vision. Object contours in complex scenes can be fragmented, occluded and deformed. Instances of the same class can have a wide range of variations. Clutter and background edges can provide more than 90% of all image edges. Nevertheless, our biological vision system is able to perform this task effortlessly. On the other hand, the performance of state-of-the-art computer vision algorithms is still limited in terms of both speed and accuracy. The work in this thesis presents a simple, efficient and biologically motivated method for contour-based object detection and recognition in complex scenes. Edge segments are extracted from training and testing images using a simple contour-following algorithm at each pixel. Then a descriptor is calculated for each segment using Shape Context, including an offset distance relative to the centre of the object. A Bayesian criterion is used to determine the discriminative power of each segment in a query image by means of a nearest-neighbour lookup, and the most discriminative segments vote for potential bounding boxes. The generated hypotheses are validated using the k nearest-neighbour method in order to eliminate false object detections. Furthermore, meaningful model segments are extracted by finding edge fragments that appear frequently in training images of the same class. Only 2% of the training segments are employed in the models. These models are used as a second approach to validate the hypotheses, using a distancebased measure based on nearest-neighbour lookups of each segment of the hypotheses. A review of shape coding in the visual cortex of primates is provided. The shape-related roles of each region in the ventral pathway of the visual cortex are described. A further step towards a fully biological model for contourbased object detection and recognition is performed by implementing a model for meaningful segment extraction and binding on the basis of two biological principles: proximity and alignment. Evaluation on a challenging benchmark is performed for both k nearestneighbour and model-segment validation methods. Recall rates of the proposed method are compared to the results of recent state-of-the-art algorithms at 0.3 and 0.4 false positive detections per image.Erasmus Mundus action 2, Lot IIY 2011 Scholarship Program

Design and Performance of Adaptive Antenna System in LTE 3GPP Transceivers Based Fourier Signals in ITU Channels

3G LTE is next generation step in mobile communications with the promise of peak download rates of at least 100 Mbit/s and upload rates 50 Mbit/s. The evolved version of Long Term Evolution is LTE-Advanced which is being developed by the Third Generation Partnership Project (3GPP). LTE-Advanced will meet or go beyond the requirements of the International Telecommunication Union (ITU) for the fourth generation (4G) radio communication standard. In this paper, we investigate the performance of Adaptive Antenna System in the LTE 3GPP Transceivers. Adaptive Antenna System (AAS) has been developed to adaptively correct antenna impedance mismatch for the LTE 3GPP Transceivers. (AAS)  has been deployed at the receiver module to reduce the fading effects caused by proposed channels model. (AAS) uses various beamforming techniques to focus the wireless beam between the base station and the subscriber station. In this work, the transmitter (SS) and receiver (BS) are fixed and AAS installed at the receiver is used to direct the main beam towards the desired LOS signal and nulls to the multipath signals. Least Mean Square (LMS) algorithm is used. It has been proved through MATLAB simulations that the performance of the system significantly improves by AAS in  International Telecommunication Union (ITU) channels , where beamforming is implemented in the direction of desired user. The performance of the system more increases by increasing the number of antennas at receiver. Keywords: OFDM, LTE 3GPP, LMS, ITU, AAS

A study of micro structural, magnetic and electrical properties of La-Co-Sm nanoferrites (LCSF) synthesized by sol-gel method

A Lanthanum (La3+) doped Samarium-Cobalt nanoferrites (La_x,Co_0.2,Sm_0.2,Fe_(2-x) O_4, where x=0.0,0.5,1.0) have been synthesized by sol-gel method in citrate media. Obtained spinal ferrites micro structure properties have been investigated by XRD, FTIR, SEM-EDX, and TEM-SAED techniques. All the samples are nano in size with significant hysteresis. Micro structural analysis by XRD confirms the obtained samples showing the single phase cubic spinal structures with an average crystal size found from 12 nm to 25 nm, while the average particles sizes identified from TEM analysis are ranging from 21.5nm-26.8 nm (~23.4nm) and from 20.5 nm to 28(~26.4nm) nm for x=0.5,1.0. The lattice parameter found to be a= 8.402, 8.423, 8.467Å for the respective values of x= 0.0, 0.05, and 1.0. Electrical properties show increase in dc resistivity with increase in La3+ ion concentration. Finally, it was concluded that the doping of Lanthanum ion (La3+) in the ferrites structure is found to influencing the structural and electrical properties without scarifying the ferromagnetic character

Simulation of Three-Dimensional Flow Field around Unconventional Bridge Piers

The study presents a three-dimensional numerical simulation of turbulent flow field around unconventional bridge piers which are downstream-facing round- nosed (DS-FRNP) and upstreamfacing round- nosed (US-FRNP) and are compared with a circular pier in fixed-bed using the computational fluid dynamics (CFD). In this paper, the flow field passing around the bridge piers is predicted using k- standard turbulence model. The predicted flow velocity in x-direction and turbulent kinetic energy (TKE) are compared with the tested data. Simulated flow velocity and turbulent kinetic energy are in good agreement with experimental data. Numerical model predicts the flow features such as flow reversal upstream the pier, down flow upstream the pier and flow in wake region, the shape of vortices (horse shoe vortex and wake vortex) also captured by simulation. The discussion of the relation between bridge pier shape and turbulent kinetic energy in this study will help to control the scour around bridge piers

Infantile Nephropathic Cystinosis in Sulaimani Pediatric Teaching Hospital: A Retrospective Cohort Study

Cystinosis is a rare metabolic autosomal recessive disorder which characterized by intralysosomal accumulation of cystine. There are three forms; infantile nephropathic is the commonest forms. to evaluate clinical presentations and outcome of infantile cystinosis. A retrospective cohort study conducted in Sulaimani Pediatric Teaching Hospital on 25 patients with infantile cystinosis during May 1, 2014, to June 1, 2017. This study has depended on clinical symptoms and signs, and corneal crystallization for the diagnosis of cystinosis. Gender of the patients was 13 (52%) females and 12 (48%) males. The ages were ranged between (1-12 years) with a mean age of (6.25 years). Eight (32%) patients were from Sulaimani city, but the other 17 (68%) patients were from outside of Sulaimani. Moreover, a 17 (68%) of them were Arabic and the other eight (32%) were Kurdish ethnic groups. The study showed a 20 (80%) positive consanguinity with 19 (76%) positive family history of infantile cystinosis. Additionally, the age of first presentations was between (0.25-2 years) with a mean of (0.8 years). Clinical features included a 100% for polyuria, polydipsia, and failure to thrive. Furthermore, 10 (40%) presented with constipation, 23 (92%) photophobia and 5 (20%) blond hair. Complications included 24 (96%) rickets, 14 (56%) renal insufficiency, 5 (20%) hypothyroidism, 4 (16%) genu valgum, 3 (12%) growth hormone deficiency, and 3 (12%) developed end-stage renal disease. Subsequently, two patients died (8%) due to end-stage renal disease. Finally, there was a statistically significant relationship between both renal insufficiency (P-value = 0.042) and hypothyroidism (P-value < 0.001) with Kurdish ethnicity. Conclusion: Incidence of cystinosis was high among consanguineous parents and those patients who had a positive family history of cystinosis. Furthermore, the delay in diagnosis was due to atypical presentations and unavailability of specific investigations

Proposed intelligence systems based on digital Forensics : Review paper

The field of information security, in general, has seen shifts a traditional approach to an intelligence system. Moreover, an increasing of researchers to focus on propose intelligence systems and framework based on the forensic case studies because of the limitations of traditional methods such as analysis intensive data manually, intelligence visualization to make the evidence more understandable and intelligence system for store data. However, most of these intelligence systems are still facing different limitations. Furthermore, the primary goal of this work analysis popular intelligence system that was used based on forensic. Moreover, propose new algorithms and hybrid model which it's achieved good results in dif-ferent other fields to develop the forensic systems in the future