Numerical Outcome Research Articles

Descent Condition for a Scalar Parameter of Spectral HS (SpHS) Conjugate Gradient Method

Spectral conjugate gradient method has been used in most cases as an alternative to the conjugate gradient (CG) method in order to solve nonlinear unconstrained problems. In this paper, we introduced a spectral parameter of HS conjugate gradient method resultant from the classical CG search direction and used some of the standard test functions with numerous variables to prove its sufficient descent and global convergence properties, the numerical outcome is verified by exact line search procedures.

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Cloud service is the most popular environment utilized by millions of users for different kind of service utilization. Cloud services needs to be provided with the concern of satisfying user requirements to increase their popularity level. The main issues associated with cloud service handling are maintaining integrity of data, user management, secured data transmission and so on. These issues are addressed by various authors by introducing the different methodologies. In this analysis work, discussion about those research techniques has been given with the detailed explanation. This paper provides the overview about the different research techniques whose main goal is to achieve the increase the data integrity level of the shared data. This paper also provides the discussion about various dynamic grouping techniques which tends to provide more flexible access to the user revocation. Different research techniques proposed by various authors has been described and compared their performance in terms of merits and demerits each research technique. The overall evaluation of the research technique is done based on numerical outcome present in each research technique and best research technique has been found

An efficient computational approach to balance the trade-off between image forensics and perceptual image quality

The increasing trends of image processing applications play a very crucial role in the modern-day information propagation with the ease of cost effectiveness. As image transmission or broadcasting is the simplest form communication which determines easy, fastest and effective way of network resource utilization, thereby since past one decade it has gained significant attention among various research communities. As most of the image attributes often contains visual entities corresponding to any individual, hence, exploration and forging of such attributes with malicious intention often leads to social and personal life violation and also causes intellectual property right violation when social media, matrimonial and business applications are concerned. Although an extensive research effort endeavored pertaining to image forensics in the past, but existing techniques lack effectiveness towards maintaining equilibrium in between both image forensics and image quality assessment performances from computational viewpoint. Addressing this limitation associated with the existing system, this proposed study has come up with a novel solution which achieves higher degree of image forensics without compromising the visual perception of an image. The study formulates an intelligent empirical framework which determines cost-effective authentication of an image object from both complexity and quality viewpoint. Finally, the study also presented a numerical simulation outcome to ensure the performance efficiency of the system.

Analysis of a boundary layer flow over moving an exponentially stretching surface with variable viscosity and Prandtl number

AbstractBoundary layer flow phenomenons on a stretching sheet find numerous applications in industrial processes such as manufacture and extraction of rubber and polymer sheets. The current study focuses on two‐dimensional water boundary layer flow on exponential stretching surface with a vertical plate for variable physical properties of fluid such as viscosity and Prandtl number. The Quasilinearization technique has been used on governing equations to transform nonlinear to linear equations and these equations are discretized by finite difference techniques to get numerical solutions. The effect of buoyancy parameters (λ), velocity ratio parameter () and streamwise coordinator (ξ) on velocity profiles (F), temperature profiles (θ), local skin‐friction coefficient (Cfx(ReLξexp(ξ))1/2) and the local Nusselt number (Nux(ReLξexp(ξ))−1/2) has been analyzed graphically based on numerical outcome. The magnitude of velocity profiles increases and temperature profile decreases approximately by 4% and 16% with increases the buoyancy parameter from λ = 1 to λ = 3 at = 0.5 and ξ = 1.0. The skinfriction and heat transfer coefficient increases approximately by 22% and 27% with an increase in ξ from 0.5 to 1.0 at fixed = 0.5 and λ = 1.0. The variations of velocity profiles and temperature profiles have more impact with as compared to ξ and λ. The benchmark studies were carried out to validate the current results with previously published work and found to be in excellent agreement.

Patient Acceptable Symptom State at 1 and 3 Years After Total Knee Arthroplasty: Thresholds for the Knee Injury and Osteoarthritis Outcome Score (KOOS).

To facilitate the interpretation of numerical patient-reported outcome measure (PROM) scales, concepts such as the patient acceptable symptom state (PASS) have been introduced. Currently, no PASS thresholds have been established for the Knee injury and Osteoarthritis Outcome Score (KOOS) after total knee arthroplasty. The aims of the current study were to define PASS thresholds for the KOOS subscales and several other generic and knee-specific PROMs at 1 and 3 years after total knee arthroplasty using data from an international, multicenter clinical outcome study of a modern, well-performing implant system. The study cohort consisted of 499 patients undergoing total knee arthroplasty from an international, multicenter study. At 1 and 3 years after a total knee arthroplasty, patients completed the KOOS, EuroQoL 5-dimension 3-level (EQ-5D-3L), EuroQol visual analog scale (EQ-VAS), and numerical rating scales (NRS) for knee-related pain and satisfaction. PASS thresholds were calculated at each follow-up interval using 3 anchor-based approaches, using patient-reported satisfaction as the anchor. According to our satisfaction anchor, 302 (78.9%) of 383 responding patients were satisfied at 1 year, and 242 (80.4%) of 301 responding patients were satisfied at 3 years. PASS thresholds were 84.5 points at 1 year and 87.5 points at 3 years for KOOS pain, 80.5 points at 1 year and 84.0 points at 3 years for KOOS symptoms, 83.0 points at 1 year and 87.5 points at 3 years for KOOS activities of daily living, 66.0 points at 1 year and 66.0 points at 3 years for KOOS quality of life, 83.0 points at 1 year and 90.5 points at 3 years for EQ-VAS, 0.80 point at 1 year and 0.80 point at 3 years for EQ-5D, and 1.8 points at 1 year and 1.8 points at 3 years for NRS pain. The current study is the first, to our knowledge, to propose PASS thresholds for the KOOS subscales at 1 and 3 years after total knee arthroplasty and contributes to PASS literature on other common PROMs. These findings will provide a useful reference for future total knee arthroplasty outcome studies and will help to determine what patients consider to be satisfactory operations. Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Nonlinear mixed thermal convective flow over a rotating disk in suspension of magnesium oxide nanoparticles with water and EG

The present study proclaims the importance of magnesium oxide nanoparticles in non-linear convective boundary flow over a radiated rotating disk with stretching in the radial direction. The flow governing equations are simplified to coupled non-linear ordinary differential equations (ODEs) by endeavoring von Karman transformations. The solution for the resulting system is obtained numerically by the help of Runge-Kutta and Newton’s methods. The validity of the obtained numerical outcome is ensured by comparing with the existing literature as special cases. The comparative plots are provided for magnesium oxide+water and magnesium oxide+ethylene glycol nanofluid. Few of the several significant findings of the current study are: i) The time taken for execution is more in magnesium oxide with ethylene glycol mixture compared to magnesium oxide+water for all the considered non-dimensional parameters. This may be due to the ethylene glycol nanofluid is not amalgamated with magnesium oxide nanofluid properly when compared to water. ii) The nonlinear convection parameter have higher heat transfer rate in ethylene glycol based magnesium oxide mixture when compared to water based magnesium oxide mixture due to nonlinear thermal variation in the flow.

Hydrostatic Pressure and Temperature Effect on the Electron-Related Optical Responses in Symmetric and Asymmetric n-Type Double Delta-Doped GaAs Quantum Well Under Terahertz Laser Field

The effects of non-resonant intense laser fields on the intersubband-related light absorption and relative refractive index change coefficients in symmetric and asymmetric n-type double $$\delta$$ -doped GaAs quantum wells are investigated. Systems are assumed to be also under the influence of hydrostatic pressure and the change of temperature. The single band effective-mass and envelope function approximations, together with analytical expressions for the linear and third-order nonlinear optical coefficients are used as theoretical tools. According to the numerical outcome, the nonlinear optical response is significantly affected by the intense non-resonant laser radiation, as a result of the associated distortion of conduction band energy profiles. For instance, it is revealed there is a laser-induced transition of the confining potential from double-delta geometry to single-triangular-like shape. Given the additional variations associated with the application of hydrostatic pressure and temperature, all these external probes could be used to control and suitablly tune the electronic and optical properties of GaAs n-type double $$\delta$$ -doped GaAs quantum wells.

Two-dimensional model of wave-induced response of seabed around permeable submerged breakwater

This article focuses on a two-dimensional numerical model established to determine the seabed dynamic response in the region of a permeable submerged breakwater. The wave motion in this article is governed by the volume-averaged Reynolds-averaged Navier–Stokes equation, whereas Biot’s poro-elastic equation determines the seabed foundation. The water surface is recorded using the volume of fluid technique. In this study, the results for the two-dimensional seabed dynamic response for both the consolidation status and the dynamic wave-induced response status for the seabed foundation coupled with submerged breakwater are illustrated. The numerical results examined from the dynamic pore pressure, the effective stresses, the shear stress, and the seabed soil displacements revealed that the impact of dynamic response at the offshore zone/seaward on the seabed foundation is more developed than at the onshore zone/harbor side. Parametric results analysis as regards the effect of the wave, the seabed, and the submerged breakwater structure variation significantly affected the seabed foundation response coupled with the breakwater structure. The numerical outcome on the liquefaction potential shows that the seabed foundation is more seemingly to liquefy and happen approximately at the toe of the submerged breakwater under the wave loading.

Meshing theory and tooth profile geometry of toroidal surface enveloping conical worm drive

The toroidal surface enveloping conical worm gearing is put forward, whose worm is generated by a grinding wheel with generating torus. The meshing theory of this worm drive is comprehensively constructed and the case with the non-orthogonal axial lines is also included. The tooth profile equation of the worm is developed and the method and formula to compute the tooth profile angle are brought forward, which have theoretical guiding significance for the manufacture and inspection of the worm and the related conical hob. On the grounds of the theory established, the simulating studies on the meshing performance of the worm pair are made systematically and the comparative investigation is implemented with the conical surface enveloping conical worm drive. Via the numerical calculation, the value regularity of the parameters is discovered and this is quite useful to determine the meshing points of the worm gear set iteratively. The numerical outcome makes clear that, the meshing quality of the proposed gearing is considerably favorable and the meshing asymmetry between the two sides of one tooth is weak.

Multi-Attribute Optimization in WEDM of Light Metal Alloy

Abstract Now a day Wire Electrical Discharge Machining (WEDM) has become a dominating non-conventional machining process in the field of manufacturing industries. The main aim of the present work is to resolve the multi response optimization and find out the optimum process criteria of WEDM via TOPSIS method. Initially, the experiments have been carried out by Taguchi experimental technique. Thereafter, Entropy based TOPSIS has been utilised to convert the several response parameters into a single parameter. Finally, the best experimental result has been decided on the basis of parameters ranking followed by TOPSIS. The Analysis of Variance (ANOVA) has been done to justify of the optimal results. The numerical outcome shows that the best optimum input process parameters are pulse on time (1.1 µs), pulse off time (20 µs), flushing pressure (9 kg/cm2) and servo voltage (20 volt).

Quantitative Data From Rating Scales: An Epistemological and Methodological Enquiry.

Rating scales are popular methods for generating quantitative data directly by persons rather than automated technologies. But scholars increasingly challenge their foundations. This article contributes epistemological and methodological analyses of the processes involved in person-generated quantification. They are crucial for measurement because data analyses can reveal information about study phenomena only if relevant properties were encoded systematically in the data. The Transdisciplinary Philosophy-of-Science Paradigm for Research on Individuals (TPS-Paradigm) is applied to explore psychological and social-science concepts of measurement and quantification, including representational measurement theory, psychometric theories and their precursors in psychophysics. These are compared to theories from metrology specifying object-dependence of measurement processes and subject-independence of outcomes as key criteria, which allow tracing data to the instances measured and the ways they were quantified. Separate histories notwithstanding, the article’s basic premise is that general principles of scientific measurement and quantification should apply to all sciences. It elaborates principles by which these metrological criteria can be implemented also in psychology and social sciences, while considering their research objects’ peculiarities. Application of these principles is illustrated by quantifications of individual-specific behaviors (‘personality’). The demands rating methods impose on data-generating persons are deconstructed and compared with the demands involved in other quantitative methods (e.g., ethological observations). These analyses highlight problematic requirements for raters. Rating methods sufficiently specify neither the empirical study phenomena nor the symbolic systems used as data nor rules of assignment between them. Instead, pronounced individual differences in raters’ interpretation and use of items and scales indicate considerable subjectivity in data generation. Together with recoding scale categories into numbers, this introduces a twofold break in the traceability of rating data, compromising interpretability of findings. These insights question common reliability and validity concepts for ratings and provide novel explanations for replicability problems. Specifically, rating methods standardize only data formats but not the actual data generation. Measurement requires data generation processes to be adapted to the study phenomena’s properties and the measurement-executing persons’ abilities and interpretations, rather than to numerical outcome formats facilitating statistical analyses. Researchers must finally investigate how people actually generate ratings to specify the representational systems underlying rating data.

Is the Greek debt sustainable? Analyzing three different scenarios for the forthcoming period 2018–2022

Abstract In this paper, we attempt to estimate the development of the Greek public debt for the period 2018–2022. In order to achieve this, we analyze three different fiscal scenarios that are based on the official data available, together with our estimations that are based on a specific conceptual framework that we develop. The three scenarios are based on a different mixture of Gross domestic product (GDP) growth rates and budgetary surpluses of GDP. The analysis concludes that the numerical outcome is almost the same in all three case scenarios. However, the third scenario is the best since it leads to higher growth, GDP, and less austerity measures, and thus making public debt sustainable in the long run. The third scenario also provides the best combination of the trade-off between austerity and growth. We conclude by discussing some policy measures.

Cohesin Subunit SMC3 Levels Impact on Karyotype and Outcome in Acute Myeloid Leukemia

Background: Acute myeloid leukemia (AML) is a genetically heterogeneous clonal disease with highest incidence in the elderly. Advancing age and complex karyotype aberrations, two strong adverse prognostic factors in AML, are closely interconnected and responsible for poor treatment outcome. Chromosomal instability (CIN) is a major contributor to genetic heterogeneity and clonal diversification in AML and its level increases with advancing age both in normal and malignant cells. In elderly healthy individuals clonal mosaicism for chromosomal aberrations in blood cells is associated with an increased risk of a subsequent hematological malignancy. Despite major advances in understanding the genetic landscape of AML and its impact on disease pathophysiology, why genomic integrity declines with age is barely uncovered. For accurate chromosome segregation, sister chromatids are tightly associated until the spindle assembly checkpoint is satisfied, allowing for anaphase‐promoting complex (APC/C)‐mediated anaphase onset. Sister chromatid cohesion is established by the ring‐shaped cohesin complex consisting of four subunits (SMC1A, SMC3, Rad21, and either SA‐1 or SA‐2). Age‐associated CIN in human oocytes seems to be the consequence of cohesin decay with increasing maternal age.Aims and methods: Based on frequent loss‐of‐function mutations in cohesin complex components in human malignancies including AML, we sought to investigate whether decreased cohesin subunit protein levels are associated with aging and leukemogenesis in human individuals by analyzing mononuclear cells (MNCs) from 95 healthy blood donors and 48 AML patients.Results: Western Blot analysis of peripheral blood MNCs from 95 healthy individuals with a median age of 48.5 years (range 19-90) revealed that SMC3 and SMC1A cohesin subunit levels were significantly reduced with advancing age (Fig. 1A). Interestingly, SMC3 protein levels were most prominently reduced in individuals older than 60 years. For SA-1, a borderline significant age-associated decline in protein expression was observed. Surprisingly, compared to healthy donors, Western blot analysis of MNCs from peripheral blood (n=) or bone marrow (n=) from 48 AML patients (median age: 59 years, range 17-91) showed significantly elevated protein expression levels of all cohesin complex components (Fig. 1B). Nevertheless, SMC3 protein levels significantly declined with advancing age in AML patients, similar to the situation in healthy individuals. High SMC3 protein levels were significantly associated with ELN favorable risk group classification (low versus high protein levels, p=0.0010) (Fig. 1C). Moreover, the occurrence of numerical chromosome abnormalities and complex karyotypes increased with decreasing SMC3 protein levels (low versus high protein levels, p=0.0185). The association between age and SMC3 protein levels remained significant after adjusting for karyotype and risk group in multivariate linear regression analysis with age (p=0.03), risk group and numerical karyotype aberrations being independently associated with SMC3 expression (adverse versus favorable risk, p=0.027; numerical aberrations versus normal karyotype, p=0.048). No correlation of SMC3 levels with the mutational status of NPM1 and FLT3 or the CBFB‐MYH11 fusion nor an association of other cohesin subunit expression levels with any of the parameters analyzed was found. Compared to AML patients with lower SMC3 expression, patients with higher levels had a significantly longer overall survival. No survival differences between patients with low versus high expression levels of other cohesin subunits were found. Interestingly, patients with elevated levels of both SMC3 and SA-2 experienced the longest overall survival.Conclusions: In summary, SMC3 cohesin subunit protein levels decline with advancing age in both healthy individuals and AML patients. Reduced SMC3 levels are associated with numerical chromosome abnormalities, complex karyotypes and outcome in AML. These findings are remarkable as overall cohesin mutations are neither associated with karyotype aberrations nor with an impact on survival and possibly explained by the fact that with the exception of SMC3 for all of the other cohesin subunits at least two versions exist, which ‐ at least partially ‐ complement each other. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Calculating Therapeutic Compliance

This article discusses calculation practices in the development of a monitoring device, aimed at improving therapeutic compliance of children and teenagers suffering from a deformation of the spine. In managing the complexities of physical parameters, therapeutic measures and interventions in every day life, numbers are central participants in inferring from and interfering into bodies and behaviours. Numbers are input and output of such monitoring systems, translating, circulating and visualizing body conditions, therapeutic effects and suggesting action. At the core of this generative process of capturing and interpreting data are algorithms as common participants of managing the complexities of vast amounts of data and providing the basis for interference in people’s lives. They process data and provide seemingly unambiguous numerical outcome, based on mathematical-technological processing of information. Attending to the incremental process of “learning algorithms” as central part of the system’s development allows me to describe the robustness of certain modes of inference. Beyond using the specific case as an exemplary for computer-based numerical inference and interference, the article is an attempt to probe and complement two theoretical approaches to the numerical management of complexity: Helen Verran’s focus on numbers’ performative properties and the potential tensions arising from divergent numerical orderings; and Paul Kockelman’s sieving of inferential and indexical chains along the generation of meaning and ontological transformativities.

Nerve root block versus surgery (NERVES) for the treatment of radicular pain secondary to a prolapsed intervertebral disc herniation: study protocol for a multi-centre randomised controlled trial

BackgroundSciatica is a common condition reported to affect over 3% of the UK population at any time and is often caused by a prolapsed intervertebral disc (PID). Although the duration and severity of symptoms can vary, pain persisting beyond 6 weeks is unlikely to recover spontaneously and may require investigation and treatment. Currently, there is no specific care pathway for sciatica in the National Health Service (NHS), and no direct comparison exists between surgical microdiscectomy and transforaminal epidural steroid injection (TFESI). The NERVES (NErve Root block VErsus Surgery) trial aims to address this by comparing clinical and cost-effectiveness of surgical microdiscectomy and TFESI to treat sciatica secondary to a PID.Methods/designA total of 163 patients were recruited from NHS out-patient clinics across the UK and randomised to either microdiscectomy or TFESI. Adult patients (aged 16–65 years) with sciatic pain endured for between 6 weeks and 12 months are eligible if their symptoms have not been improved by at least one form of conservative (non-operative) treatment and they are willing to provide consent. Patients will be excluded if they present with neurological deficit or have had previous surgery at the same level. The primary outcome is patient-reported disability measured using the Oswestry Disability Questionnaire (ODQ) score at 18 weeks post randomisation and secondary outcomes include disability and pain scales using numerical pain ratings, modified Roland-Morris and Core Outcome Measures Index at 12-weekly intervals, and patient satisfaction at 54 weeks. Cost-effectiveness and quality of life (QOL) will be assessed using the EQ-5D-5 L and self-report cost data at 12-weekly intervals and Hospital Episode Statistics (HES) data. Adverse event data will be collected. Analysis will follow the principle of intention-to-treat.DiscussionNERVES is the first trial to evaluate the comparative clinical and cost-effectiveness of microdiscectomy to local anaesthetic and steroid administered via TFESI. The results of this research may facilitate the development of an evidence-based treatment strategy for patients with sciatica.Trial registrationISRCTN, ID: ISRCTN04820368. Registered on 5 June 2014.EudraCT EudraCT2014–002751-25. Registered on 8 October 2014.

Referral paths in the U.S. physician network

In this paper, we analyze the millions of referral paths of patients’ interactions with the healthcare system for each year in the 2006-2011 time period and relate them to U.S. cardiovascular treatment records. For a patient, a “referral path” records the chronological sequence of physicians encountered by a patient (subject to certain constraints on the times between encounters). It provides a basic unit of analysis in a broader referral network that encodes the flow of patients and information between physicians in a healthcare system. We consider referral networks defined over a range of interactions as well as the characteristics of referral paths, producing a characterization of the various networks as well as the physicians they comprise. We further relate these metrics and findings to outcomes in the specific area of cardiovascular care. In particular, we match a referral path to occurrences of Acute Myocardial Infarction (AMI) and use the summary measures of the referral path to predict the treatment a patient receives and medical outcomes following treatment. Some referral path features are more significant with respect to their ability to boost a tree-based predictive model, and have stronger correlations with numerical treatment outcome variables. The patterns of referral paths and the derived informative features illustrate the potential for using network science to optimize patient referrals in healthcare systems for improved treatment outcomes and more efficient utilization of medical resources.

Game-Theoretic Solutions for Data Offloading in Next Generation Networks

In recent years, global mobile data traffic has seen an unprecedented increase. This is due to worldwide usage of smart devices, availability of fast internet connections, and the popularity of social media. The Mobile Network Operators (MNOs) are, therefore, facing problems in handling this huge traffic flow. Each type of traffic, including real-time video, audio, and text has its own Quality of Services (QoS) requirements which, if not met, may cause a sufficient loss of profit. Offloading of these traffics can be made more efficient so that values of QoS parameters are enhanced. In this work, we propose an incentive-based game-theoretic frame work for downloading data. The download of each type of data will get an incentive determined by the two-stage Stackelberg game. We model the communication among single Mobile Base Station (MBS) and multiple Access Points (APs) in a crowded metropolitan environment. The leader offers an economic incentive based on the traffic type and followers respond to the incentive and offload traffic accordingly. The model optimizes strategies of both the MBS and APs in order to make the best use of their utilities. For the analysis, we have used a combination of analytical and experimental methods. The numerical outcome characterized a direct process of the best possible offloading ratio and legalized the efficiency of the proposed game. Optimal incentives and optimal offloading was the achievement of our proposed game-theoretic approach. We have implemented the model in MATLAB, and the experimental results show a maximum payoff was achieved and the proposed scheme achieved Nash Equilibria.

Outcome of special vibration controller techniques linked to a cracked beam

• Analytical solution and numerical simulation of non-linear differential equations. • Multiple scale perturbation technique is used to obtained the first order approximation. • PPF, IRC and NIPPF controllers to reduce the vibration. • Stability study subjected to external excitation. • Effect of different parameters in the system. This paper presents a comparison between three different controller methods added to a cracked beam under the action of a harmonic excitation. Those three controllers are Positive Position Feedback (PPF), Integral Resonant Control (IRC) and Nonlinear Integral Positive Position Feedback (NIPPF) which be added to the measured system. The multiple scales method (MSM) is applied for getting the approximate solution on behalf of measured design. This method is effective to solve the major equations of measured system. Stability and effect of different coefficients of the system are demonstrated. The approximate solution response is established via numerical simulation outcome. NIPPF controller is the best one gives better results compared to the other two controllers in decreasing the high amplitude of the system. Comparison between mathematical solution and numerical simulation are considered. Relationship of formerly available papers is considered.

Vibration performance of a vertical conveyor system under two simultaneous resonances

This study focused on the vibration behavior of a modified vertical conveyor system. The calculated system is exhibited by 2-degree-of-freedom counting quadratic and cubic nonlinearities among both external and parametric forces. Technique of multiple scales connected to gain approximate solutions and study stability of measured structure. All resonances from mathematical solution are extracted. The performance of the system is measured by means of Runge–Kutta fourth-order process (e.g., ode45 in MATLAB). Moreover, two simultaneous resonance cases of this system have been studied analytically and numerically. Stability of acquired numerical solution discovered via frequency response equations. Influences contained by important coefficients scheduled frequency response curves of the considered structure are studied inside numerical results. Methodical results obtained in this work agreed well through the numerical outcome. The description outcome is matched up to available recently published articles.

Investigation of multi-level wind flow characteristics and pedestrian comfort in a tropical city

An accurate CFD modelling of wind flow around a city is important for a large variety of application. CFD simulations are heavily influenced by the large number of computational parameters defined in the model. This article presents a thorough and broad sensitivity study of the impact of computational parameters on the numerical outcome for wind flow pattern of a tropical city. In this current study, a series of 3D steady state RANS simulations are conducted in full scale for a region in the city with CFD software OpenFOAM. As CFD simulations are influenced by the computational parameters including turbulence models, for accurate wind flow modelling different turbulent models are tested. The numerical outcomes are compared with on-site measured data which are obtained from anemometers placed at different locations and heights within the downtown of the tropical city for a 2-year period. The impact of a variety of computational parameters is considered which include the mesh resolution and different turbulence models. The test for turbulence models shows that SST k-ω returns the most accurate result among other examined models compared to experimental data. A pedestrian comfort map is then derived based on extended land beaufort scale table and velocity field data from CFD. The result is consistent with long-term observations. In addition, vertical profile of the wind speed near every corner of some interested buildings is investigated for the potential installation of micro wind turbines.