Displaying 6 results from an estimated 6 matches for "indpend".
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independ
2004 Dec 09
3
urgent outbound dialing problem
...nd
won't dial out. This behavior is happening over two different servers i
am using. Rebooting asterisk does not sovle the problem.
I rmmod the zaptel driver then reload and that solved the problem. But
i cannot continue to do that.
Also sip to sip is just fine.
This behavior is client indpendent (used kphone, tecom, xlite, snom) and
problem still persists.
can anyone advise me on that
mohammed
2012 Feb 11
2
Detect numerical series
Hello,
I am struggling with detecting successive digits in a numerical series
vector.
Here is an example:
vec <- c(1, 15, 26, 29, 30, 31, 37, 40, 41)
I want to be able to detect 29, 30, 31 and 40, 41.
Then, I would like to delete the successive digits from the vector.
1, 15, 26, 29, 37, 40
Cheers
--
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2005 Jul 15
0
Queue_log stats
...ssing.
This script could be easily adapted for other flat file type logging.
If anybody has some PHP, perl or whatever code that does asterisk
queue stats or has a question abut this script please contact me.
-bill
wlloyd@slap.net
#!/usr/bin/perl -w
#
# wlloyd@slap.net
# The asterisk version indpendant way to get queue stats into Mysql,
Postgres
# or whatever is supported by Perl DBI
# It's all about named pipes
# to setup this software
# stop asterisk
# rm /var/log/asterisk/queue_log
# mkfifo /var/log/asterisk/queue_log
# make sure permissions are setup
# chmod 777 /var/log/asterisk/...
2005 Aug 31
1
Softphone vmail indicator and TDM400P woes
Hello list...
1) Is there an IAX softphone that supports any kind of voicemail indicator?
2) I have 2 TDM400Ps installed in a system. I need the audio on the
analog phone (FXS modules) to be amplified somewhere between 10 and
15db so I set rxgain and txgain to 15 for the FXO interfaces and FXS
interfaces. When a call comes in on the FXO at this setting, the call
sometimes has about 20 seconds of
2007 Feb 19
1
random effect nested within fixed effects (binomial lmer)
I have a large dataset where each Subject answered seven similar
Items, which are binary yes/no questions. So I've always used Subject
and Item random effects in my models, fit with lmer(), e.g.:
model<-lmer(Response~Race+Gender+...+(1|Subject_ID)+(1|
Item_ID),data,binomial)
But I recently realized something. Most of the variables that I've
tested as fixed effects are properties
2006 Mar 01
3
Optimization problem: selecting independent rows to maximize the mean
Dear R community,
I have a dataframe with 500,000 rows and 102 columns. The rows
represent spatial polygons, some of which overlap others (i.e., not
all rows are independent of each other).
Given a particular row, the first column contains a unique "RowID".
The second column contains the "Variable" of interest. The remaining
100 columns ("Overlap1" ...