Optimal business process deployment cost in cloud resources

Cloud computing is the fastest emerging technology that proposes several resources under various pricing strategies that are specified based on temporal constraints. The main aim of cloud computing is to enhance the performance level and minimize operating costs. Thus, organizations looking towards optimizing their spending on IT infrastructure find such pricing strategies very attractive, especially, to deploy their business process models. However, discovering the optimal deployment cost of a business process in cloud resources proposed under various pricing strategies becomes a highly challenging problem. So, the objective of the present paper is to present an approach that assists business process designers in finding an optimal assignment or scheduling based on the variety of pricing strategies. We use linear programming models with an objective function under a set of constraints. Besides, we propose an extension of the famous cloud simulator provided in the market, CloudSim, to simulate the cloud resources consumed to deploy a business process model. The experimental results show the feasibility, effectiveness, and performance of our approach.

     

Optimal feature points for tracking multiple moving objects in active camera model

Object tracking is an important task in computer vision that is essential for higher level vision applications such as surveillance systems, human-computer interaction, industrial control, smart compression of video, and robotics. Tracking, however, cannot be easily accomplished due to challenges such as real-time processing, occlusions, changes in intensity, abrupt motions, variety of objects, and mobile platforms. In this paper, we propose a new method to estimate and eliminate the camera motion in mobile platforms, and accordingly, we propose a set of optimal feature points for accurate tracking. Experimental results on different videos show that the proposed method estimates camera motion very well and eliminate its effect on tracking moving objects. And the use of optimal feature points results in a promising tracking. The proposed method in terms of accuracy and processing time has desirable results compared to the state-of-the-art methods.     

Influence of some factors affecting antibacterial activity of PVA/Chitosan based hydrogels synthesized by gamma irradiation

Poly (vinyl alcohol) hydrogels containing different concentrations of chitosan with molecular weight of 471 and 101 kDa were crosslinked by gamma irradiation at a dose of 25 kGy. The swelling behavior, gel content and morphological structure of the blend were investigated. The antibacterial effect, as a function of chitosan content and molecular weight in the hydrogel, was investigated against Escherichia coli and Bacillus subtilis. With increasing chitosan content the equilibrium degree of swelling of the blend increased and the gel fraction decreased. Results of antibacterial activity of chitosan revealed that chitosan was more effective in inhibiting growth of gram positive bacteria than that of gram negative ones. It was observed that, the chitosan content as well as its molecular weight has a direct influence on bacteria growth inhibition. The higher the chitosan content in the blend and the higher its initial molecular weight, the larger was the inhibition zone diameter. The bacteria growth inhibition was attributed to the diffusion of entrapped chitosan from the hydrogel blend to the culture medium.     

Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks

The International Journal of Advanced Manufacturing Technology - In this paper, we propose a novel method for the classification of bearing faults using a convolutional neural network (CNN) and...     

Corrosion Behavior of Shiny Side and Dull Side of Aluminum Foil in 0.3% Wt NaCl Non Agitated Solution: Appearance of Rhombus form Corrosion Morphology

Protection of Metals and Physical Chemistry of Surfaces - We have investigated the corrosion behavior of shiny and dull faces of aluminum household foil in 0.3 wt % NaCl nonagitated solution. The...     

The Hyperpriming Phenomenon in Normal Aging: A Consequence of Cognitive Slowing?

Increased semantic priming effects (hyperpriming) are sometimes observed in Alzheimer's disease (AD) and in normal aging. Whereas the processes underlying this phenomenon are now well understood in AD, the interpretation is much more woolly in normal aging. To explore semantic priming, the authors used a lexical decision task in which the influence of attention and cognitive slowing was controlled. To explore the semantic organization, the words had coordinate (tiger-lion) or attribute relations (zebra-stripes). Priming scores of 21 older and 20 young participants were equivalent in the 2 conditions. These results reflect the integrity of semantic memory with normal aging and call into question some investigations showing hyperpriming for older participants; this may instead be an artifact of a general slowing effect. (PsycINFO Database Record (c) 2010 APA, all rights reserved)