similar to: Answering Machine Detection

If i use AMD() or the code below, now the problem is the fax machine/modem detection and answer machine detection get detected as the same. If i need to seperate the two how do i do that? For example, if i use AMD() to detect an answer machine by saying any greeting exceeding 2.5 seconds is a machine, how do i distinguish between a fax/modem and a long greeting? ---- dave cantera

We have an Asterisk server with a small outgoing call center. We use AMD and it usually works very well on Zap channels (E1 PRI). We added a couple of SIP trunks to reduce long distance costs but now AMD gets stuck when the call goes out through the SIP channels. Here is an example call using a SIP line: -- Executing [016566275538 at CC2:1] Set("Local/016566275538 at CC2-dad7,2",

Hallo all, I have the following glm model: f1 <- as.formula(paste("factor(y.fondi)~", "flgsess + segmeta2 + udm + zona.geo + ultimo.prod.", "+flg.a2 + flg.d.na2 + flg.v2 + flg.cc2", " +(flg.a1 + flg.d.na1 + flg.v1 + flg.cc1)^2", " + flg.a2:flg.d.na2 + flg.a2:flg.v2 +

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

I have a SIP line that is working fine when I make calls from IP phones. I can send and receive calls. The problem is that if I try to dial from the CLI using the originate command or use an AMI connection to originate a call I get the following error: originate SIP/protel-out/0445540881644 application playback tt-monkeys WARNING[12950]: chan_sip.c:20437 handle_response_invite: Received

Hi all, please see https://reviews.llvm.org/D85603 and its related changes for our most recent and hopefully final attempt at putting the `convergent` attribute on a solid theoretical foundation in a way that is useful for modern GPU compiler use cases. We have clear line of sight to enabling a new control flow implementation in the AMDGPU backend which is built on this foundation. I have

Hi Hal, On Mon, Aug 17, 2020 at 2:13 AM Hal Finkel <hfinkel at anl.gov> wrote: > Thanks for sending this. What do you think that we should do with the > existing convergent attribute? My preference, which is implicitly expressed in the review, is to use `convergent` both for the new and the old thing. They are implicitly distinguished via the "convergencectrl" operand

On Mon, Aug 17, 2020 at 7:14 PM Hal Finkel <hfinkel at anl.gov> wrote: > On 8/17/20 11:51 AM, Nicolai Hähnle wrote: > > Hi Hal, > > > > On Mon, Aug 17, 2020 at 2:13 AM Hal Finkel <hfinkel at anl.gov> wrote: > >> Thanks for sending this. What do you think that we should do with the > >> existing convergent attribute? > > My preference, which

Thanks. Do you have fixes for the other ARM bloopers? This is the forthcoming Debian version and it's now dying on arm-gnueabi when it links cc2-dummy saying libbackend.a(arm.o): In function `current_file_function_operand': /home/martin/arm/llvm-gcc-4.2-2.5/build-gcc/gcc/../../llvm-gcc-4.2-2.5/gcc/config/arm/arm.c:3506: undefined reference to `ENCODED_SHORT_CALL_ATTR_P'

Dear all, I am running a simulation study to test variable imputation methods for Cox models using R 2.9.0 and Windows XP. The code I have written (which is rather long) works (if I set nsim = 9) with the following starting values. >bootrs(nsim=9,lendevdat=1500,lenvaldat=855,ac1=-0.19122,bc1=-0.18355,cc1=-0.51982,cc2=-0.49628,eprop1=0.98,eprop2=0.28,lda=0.003) I need to run the code 1400

Hi all, If I run LDA on the same data (2-class classification) with default(no priors specified in the lda function) vs. "prior=c(0.5, 0.5)", the results are different. The (0.5, 0.5) priors give better 1-classify-to-1 rate, and the proportional priors(default, no priors specified in the lda function) give better 0-classify-to-0 rate, for both training and testing data sets. However,

I'm trying to establish a connection to a pair of fifos in R, one represents the input stream of a process and the other one the output of the same process. The problem is that R behaves very different when running the commands directly in the interpreter than when running via a script file. Here is the script #! /usr/bin/Rscript --vanilla # The fifos (fifo1 and fifo2) were previously

Hi all, Sorry for the re-post, I sent my previous e-mail before it was complete. I am trying to model seroprevalence using the differential equation: dP/dt = beta*seronegative*.001*(seropositive)-0.35*(0.999)*(seropositive)-r*seropositive. I would like to estimate my two parameters, beta and r, using maximum likelihood methods. I have included my code below:

Dear R community, I want to estimate coefficients in a (non-linear) system of equations using 'mle2' from the "bbmle" package. Right now the whole data is read in as just one long time series, when it's actually 9 cross sections with 30 observations each. I would like to be able to test and correct for autocorrelation but haven't found a way to do this in this package.

I'm using SAS for my statistical purpose and I'm triyng to jump in the R' world. How can i implement Tukey linear test in R? In sas-code my lines are : PROC GLM; BY PARCELLA; CLASS TESI; MODEL PROD=TESI; MEANS TESI/TUKEY lines; IN R: ab<-type.convert(a$tesi) a<-cbind(a,ab) cc<-anova(lm(prod~ab,data=a)) cc2<-aov(prod~ab,data=a) tt<-TukeyHSD(cc2,ordered=TRUE) but how can

Dear Bert, Thank you so much for your kind and valuable feedback. I tried finding the starting values using the approach you mentioned, then did the following to fit the nonlinear regression model: nlregmod2 <- nls(y ~ theta1 - theta2*exp(-theta3*x), start = list(theta1 = 0.37, theta2 = exp(-1.8), theta3 =

I am trying to run my old CentOS4.8 (32-bit) system as a guest system under CentOS5.4xen (64-bit). I followed the instructions in Appendix A of the xen user manual (/usr/share/doc/xen-3.0.3/pdf/user.pdf) and created a 'disk image' (actually a 10gig LVM logical volume: sauron.deepsoft.com% sudo fdisk -l /dev/mapper/sauron-c4guest Disk /dev/mapper/sauron-c4guest: 10.7 GB, 10737418240

I'm trying to set up Samba 3.0.20-4-SUSE on a opensuse 10 machine. I'm working with XP Pro on the client machine. I can't get the XP mahcine (RDS7) to join the domain (UCD). It asks for a user when trying to join and then says it cannot find it. The samba log is: auth/auth.c:check_ntlm_password(317) check_ntlm_password: Authentication for user [root] -> [root] FAILED with error

Hi all, I have a has_many relationship, Cookbook :has_many Recipes If I want to create a new recipe in my cookbook I do: cookbook.recipes.create(data) It would be nice if I could then easily get the id of the new recipe, but the create() method doesn''t seem to return anything. Any ideas how? Thanks in advance! Cameron -- Posted via http://www.ruby-forum.com/.

I've set the path for each user in pdbedit and created a login script with drive mapping etc etc The network drives aren't being mapped when I login each user: smb.conf [global] printcap name = cups cups options = raw map to guest = Bad User # include = /etc/samba/dhcp.conf logon path = \\%L\profiles\.msprofile logon home = \\%L\%U\.9xprofile