Augmented reality applications are computationally intensive and have latency requirements in the range of 15-20 milliseconds. Fog computing addresses these requirements by providing on-demand computing capacity and lower latency by bringing the computational resources closer to the augmented reality devices. In this paper, we reviewed papers providing custom solutions for augmented reality using the fog architecture and identified that the ongoing research trends towards balancing quality-of-experience, energy, and latency for both single and collaborative multi-device augmented reality applications. Furthermore, some works also focus on providing architectures for fog-based augmented reality systems and also on the training of machine learning algorithms in the fog layers to improve user experience. Based on these findings, we provide some challenges and research directions that can facilitate the adoption of fog-based augmented reality systems.
Separation of the kernels:The dried neem seeds are ground slightly with hand and outer shell is removed, kernels are present inside the shell which are separated and made into powder using a
Abstract:A simple UV spectrophotometric method for the determination of Azadirachtin is developed exhibiting maximum absorbance using distilled water at 542nm.The present study is based on the detection of sample drug concentration using dichloro methane as diluent. All the conditions required were optimized. Statistical analysis was carried out and results of which were satisfactory. The optical characteristics such as absorption maxima, regression analysis and correlation coefficient are obtained. Recovery studies were close to 100% that indicate the accuracy and precision of proposed method and the non-interference of the formulation excipients. All the valid parameters are summarized.
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