![]() Unfortunately, we couldn’t find any for this file type. Usually you would want to have some kind of documentation of the file format in question before trying to parse a binary file format. ![]() ![]() I presented the challenge to my colleague Øyvind, which had experience working with binary files like this in PowerShell. In PowerShell we can use Get-Content (or its alias type) to get the same information:Īt this point, I was thinking that regular expressions might be an appropriate way to solve this challenge. This could be a function containing version information in addition to the name of the DPM server(s) an agent is attached to. Optimally, we would like to gather this information remotely via PowerShell remoting and get an object back with information about the DPM agent. This gives us the information we want, but not in a very convenient format. The beginning of the first line returned will be the FQDN in Unicode of the DPM Server owning the agent on the protected server/client Open an administrative command prompt, then run: C:\> type C:\Program Files\Microsoft Data Protection Manager\DPM\ActiveOwner* There aren`t any official references on this topic besides some guidance in a forum thread on the TechNet Forums: You might want to look at all the DPM servers, but the agent might be inactive and left over from a decommissioned DPM server. If there is a lot of DPM servers in the environment and you do not know what DPM server is protecting an agent, you need a way to find this information on the local machine where the DPM agent is installed on. In System Center Data Protection Manager (DPM), there is an agent installed on protected computers for managing backup and restore operations. In this article, we will look at how binary files can be interpreted in PowerShell by looking at a real world challenge as an example. In conclusion the authors found that in retrospective observer performance studies the use of a binary response or a semi-continuous rating scale led to consistent results in terms of performance as measured by sensitivity-specificity operating points.This article is co-authored by Jan Egil Ring and Ø_yvind Kallstad On average, radiologists performed similarly when using the two rating scales in that the average distance between the run in individual reader's binary operating point and their ROC curve was close to zero. Reader-specific differences ranged from -0.046 to 0.128 with an average width of the corresponding 95% confidence intervals of 0.2 and p-values ranging for individual readers from 0.050 to 0.966. Only one of the nine readers had a binary "operating point" that was statistically distant from the same reader's empirical ROC curve. There does not appear to be any systematic tendency of the readers towards a better performance when using either of the two rating approaches, namely four readers performed better using the semi-continuous rating scale, four readers performed better with the binary scale, and one reader had the point exactly on the empirical ROC curve. The vertical distance averaged over all readers was used to assess the proximity of the performance levels under the binary and ROC-type rating scale. The vertical distance, namely the difference in sensitivity levels at the same specificity levels, between the empirical ROC curve and the binary operating point were computed for each reader. Under an Institutional Review Board approved protocol nine experienced radiologists independently rated an enriched set of 155 examinations that they had not personally read in the clinic, mixed with other enriched sets of examinations that they had individually read in the clinic, using both a screening BI-RADS rating scale (recall/not recall) and a semi-continuous ROC type rating scale (0 to 100). ![]() The authors investigated radiologists, performances during retrospective interpretation of screening mammograms when using a binary decision whether to recall a woman for additional procedures or not and compared it with their receiver operating characteristic (ROC) type performance curves using a semi-continuous rating scale. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |