Distributed Storage of Remote Sensing Data Based on Hadoop Platform
A distributed remote sensing data storage system based on Hadoop platform is designed to solve the problem of low storage efficiency and low security of mass remote sensing data. Uesd virtualization technology to PC as hardware based virtual computing node the Hadoop Cluster required, without increasing the dedicated server clusters and does not change the original PC use conditions, built the Hadoop platform by the virtual machine cluster. Using LandSat-8 satellite image data as the experimental object, through the design of file tree structure, the remote sensing image data according to the band and split into several blocks of image coordinates, combined with the Hadoop distributed file system (HDFS) characteristics of block storage data block, the remote sensing data stored in the distribution of the whole virtual computer cluster in. Build Hadoop platform remote sensing data distributed storage system with low cost.
Different statistical methods to collect information about the adverse effects of climatic factors on cotton production
This study investigates the statistical relationship between various climatic factors and overall flower and boll production. Also, predicting effects of climatic factors during different convenient intervals (in days) on cotton flower and boll production compared with daily observations. Further, collects information about the nature of the relationship between various climatic factors and cotton boll development and the 15-day period both prior to and after initiation of individual bolls. And, provide information on the effect of various climatic factors and soil moisture status during the development stage on flower and boll production in cotton. Evaporation, sunshine duration, relative humidity, surface soil temperature at 1800 h, and maximum air temperature, are the important climatic factors that significantly affect flower and boll production. The five-day interval was found to be more adequately and sensibly related to yield parameters. Evaporation; minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention. There was a negative correlation between flower and boll production and either evaporation or sunshine duration, while that correlation with minimum relative humidity was positive.
Anxiety disorders and homeopathy
The review article states that homeopathic remedies have been used throughout the world for thousands of years and their benefits have been repeatedly documented by physiological and psychological problems. Homeopathic medicines can formulate a positive change in people suffering from these distressing states of mind and behaviour it is proved can help the reducing their anxiety levels and thus capable of dealing with stressful situations this remedies work towards balancing the excitatory neurotransmitter levels in the brain.
