search for: 20km

...ing over *. By running a wireless network (over 802.11 a/b/g devices), i plan to be able to reach customers directly with eithe table top or handheld 802.11 sip enabled phones. But the disadvantage is that how do i power each radio and back haul the connection (this is to be able to cover at least 20KM radius of densley populated region). During my research, i have fould out that PoE switches exists and can be used to supply both data access and power to the wifi radios, but these only run for 120meters tops b4 signall loss sets in Is there a sort of high grade cat5 cable that can propagate signa...

...owing adaptations. -Increased the max-mem-size to 1.5Gb (Thanks to Thomas Lumley for his help) -Use a max.dist (10km) for the function Krige -Run the Krige computation for each separate animal location while using a repeat loop -Select only those sample locations and data (depth soundings) within a 20km by 20km box around the animal location (So the Krige function does not need to calculate the distance between the animal location and all the 2 million sample locations) However the error: cannot allocate vector of 24432 Kb still remains. For that particular computation only 1500 sample locations...

...of bins based on another variable which is distance. So, I'd like to end with each of my distances classified into bin 1, bin 2, bin 3 etc. Below is a start. x<-rnorm(100, mean=100, sd=30) #Generates sample distances breaks = seq(0, 200, l = 11) #Generates 10 bins of equal distance (i.e. 20km) Any ideas? Best, Gunadi -- View this message in context: http://old.nabble.com/Add-%22bin%22-variable-to-dataframe-tp26392102p26392102.html Sent from the R help mailing list archive at Nabble.com.

...uot;seed" document is probably related, > but once you get beyond that the documents in the cluster are defined > only by distance from the seed. > > In geographical terms, locations which are < 10km from a given point > might be a useful cluster, but locations between 10 and 20km from that > point is much less likely to be. > > Cheers, > Olly > -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xapian.org/pipermail/xapian-devel/attachments/20160323/2a9be78a/attachment-0001.html> -------------- next part ---...

I am still trying to find some faster clustering technique for search result. One technique which strike to me is, using the Latent Semantic Indexing for Clustering the search result can give better results. In which we don't even need to iterate over different values of 'k'(in K-means algorithm) to cluster documents rather we can cluster whole search result in one go. How Latent

Am 13.06.2020 um 18:06 schrieb Michael Keuter: > So the call used Alaw as Codec. Yes, so seems it to be... It should has the better quality... But the calls done using my mobile phone in VoIP with the Asterisk have better quality as the calls done using the normal VoIP-telefon... I'm really puzzled... Luca Bertoncello (lucabert at lucabert.de)

...ummary of your situation? Not really... 1) I have an Android phone, using the integrated Android VoIP-subsystem, connected to my Asterisk at home, over LTE or other network *outside my home network*. Today I called my mother using this method (I was in the home network of my parents in law, about 20km von my home network, so definitly *not* in my wireless...). The quality was excellent and it was confirmed from my father in law, too... 2) I have a Thomson ST2022 connected to my Asterisk over Ethernet (cabled network). If I call for example my mother or my parents in law, the conversation is &quo...