With the ability of MATLAB to run in the cloud environment the authors analyse a retinal image efficiently. A quick and on-the-fly image processing is the cause for leveraging the ability of Cloud with the classic computing power of MATLAB. This cloud-based image processing has significantly saved on the cost of procuring resources and it has processed an image in a few seconds. This revolutionary change in computing power has not only eased the life of engineering community but has demonstrated an inertia to help the common man through its language of computing. The objective of this particular piece of work is to leverage the ubiquitous cloud features to process the images taken from retina portion through a hi-fidelity algorithm. The reflection of the computing ability of complex mathematical equations, SaaS (Soft as a Service) architecture of cloud and tools developed in Windows Azure platform has come out as research findings such as the spatial modelling of a diseased portion of a retina. The portion diagnosed with a difficulty undergoes a series of steps based on the algorithm developed by authors and ultimately the original image is transformed into a form with information on the status of the disease in the retina.

The problems of fluid flow and heat transfer phenomena over an array of cylinders are quite prominent in fluid dynamics and industry applications. The current work focuses on fluid flow and heat transfer analysis over two heated rotating cylinders arranged in tandem. The flow of water over heated cylinders faces a phenomenon of phase change from liquid (water) to vapor phase (steam). The mechanism of this phase change is studied through a numerical simulation supplemented with verification of the code and validation. The problem is simulated when flows from two cylinders in a tandem arrangement become interacting and non-interacting. The Eulerian model is used during simulation to comprehend the multiphase phenomena. The volume fractions of both the phases such as water and vapor and heat transfer coefficients of both the cylinders have been computed and presented as findings of the problem. The mass and heat transfer mechanism is unidirectional from one phase to the other phase. The vapor fraction of each phase is to be observed and compared when three different rotations are given to the two cylinders immersed in a turbulent flow of water.

This paper presents a numerical case study of various stepped tip clearances and their effect on the performance of a single stage transonic axial flow compressor, using commercially available software ANSYS FLUENT 14.0. A steady state, implicit, three dimensional, pressure based flow solver with SST k-Ω turbulence model has been selected for the numerical study. The stepped tip clearances have been compared with the baseline model of zero tip clearance at 70% and 100 % design speed. It has been observed that the compressor peak stage efficiency and maximum stage pressure ratio decreases as the tip clearances in the rear part are increased. The stall margin also increases with increase in tip clearance compared to the baseline model. An ‘optimum’ value of stepped tip clearance has been obtained giving peak stage compressor performance. The CFD results have been validated with the earlier published experimental data on the same compressor at 70% design speed.

With the ability of MATLAB to run in the cloud environment the authors analyse a retinal image efficiently. A quick and on-the-fly image processing is the cause for leveraging the ability of Cloud with the classic computing power of MATLAB. This cloud-based image processing has significantly saved on the cost of procuring resources and it has processed an image in a few seconds. This revolutionary change in computing power has not only eased the life of engineering community but has demonstrated an inertia to help the common man through its language of computing. The objective of this particular piece of work is to leverage the ubiquitous cloud features to process the images taken from retina portion through a hi-fidelity algorithm. The reflection of the computing ability of complex mathematical equations, SaaS (Soft as a Service) architecture of cloud and tools developed in Windows Azure platform has come out as research findings such as the spatial modelling of a diseased portion of a retina. The portion diagnosed with a difficulty undergoes a series of steps based on the algorithm developed by authors and ultimately the original image is transformed into a form with information on the status of the disease in the retina.

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