similar to: Hysteresis modeling and simulation

The HTB qdisc has a compile time option, HTB_HYSTERESIS, that trades accuracy of traffic classification for CPU time. These patches change hysteresis to be a runtime option under the control of "tc". The effects of HYSTERESIS on HTB''s accuracy are significant (see chapter 7, section 7.3.1, pp 69-70 in Jesper Brouer''s thesis: http://www.adsl-optimizer.dk/thesis/ ),

The HTB qdisc has a compile time option, HTB_HYSTERESIS, that trades accuracy of traffic classification for CPU time. These patches change hysteresis to be a runtime option under the control of "tc". The effects of HYSTERESIS on HTB''s accuracy are significant (see chapter 7, section 7.3.1, pp 69-70 in Jesper Brouer''s thesis: http://www.adsl-optimizer.dk/thesis/ ),

The HTB qdisc has a compile time option, HTB_HYSTERESIS, that trades accuracy of traffic classification for CPU time. These patches change hysteresis to be a runtime option under the control of "tc". The effects of HYSTERESIS on HTB''s accuracy are significant (see chapter 7, section 7.3.1, pp 69-70 in Jesper Brouer''s thesis: http://www.adsl-optimizer.dk/thesis/ ),

hi i ve seen one of your replies here and i saw that you receomend 2 modifications in the kernel files in order to improve htb. first in pkt_sched.h, changing PSCHED_JIFFIES to PSCHED_CPU. and then, sch_htb.c, changing HYSTERESIS from 1 to 0. is it that simple? i mean i just change these here variables and i get better results? i ve done a search and found the first file in 3 locations. where

Hello. So, LVM is cool, having different partitions for different stuff is cool, and of course Ext4 is cool and *reliable*. So, we create some logical partitions and put ext4 on them, reserving LVM space for growing those partitions or even making new ones later. The thing is, I would like to keep every filesystem as small as it can be, but without degrading the performance too

Hi, I have an Eaton/MGE EX 11 RT UPS (uses the mge-shut driver) and while I was testing it I found that it would turn back on straight after power was restored. I had a look but I couldn't find a setting which would let me tell it to charge to (say) 50% before turning the load back on. Does anyone know if this is possible? A setting like this would provide some hysteresis for successive

Tom Harper wrote: > Steve, > > The main problem I am having with the system is clipping off the start > of someone's speech when they first start talking- the ends of the > sentences > seem to be handled properly. I am wondering whether this is the fault > of the > audio playback system or whether this is a speex issue- I don't seem to get that; I suppose

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

I posted earlier when I noticed that htb was releasing packets in pairs, even though my burst/quantums were 1 pkt. To fix I set HTB_HYSTERESIS 0 in net/sched/sch_htb.c . This gives a noticable gain in upstream worst case latency, for me with 256kbit/s up I used to see +90 sometimes, now it''s +45. For the many who have 128 up it should limit them to +90 rather than +180. Andy.

We are trying to build a human respiration model. Preliminary analysis of some breathing signals has shown that humans breathe through switching among a finite number of patterns. Hidden Markov seems to be the right approach. Since most of our code is written in R scripting language, finding an R package implementing an HMM that we can use for our prototype would be very helpful. I have been

Dear helpers, is there any possible that transition (in depmixS4) is in scale of two variable, e.g transition=~scale(x1,x2)? If it can be, how transition of two variable (covariate time) can be worked in depmixS4-hidden markov model for time series. Many thanks, nglthu -- View this message in context: http://r.789695.n4.nabble.com/depmixS4-transition-tp4572726p4572726.html Sent from the R help

>Hi everyone, and thanks for your help so far. > >I have been playing around with tc and htb for a couple of weeks now, and >while I am nowhere near understanding everything here, I am beginning to >know more about packets than I ever wanted to know. > >I have two university buildings with a 1mb connection to the Internet. The >two buildings (on either side of town) are

Yes, you can use it independently by using speex_preprocess(). This function can do noise removal, AGC, and VAD. I've been using it to do all three and it usually works very well. There can be a train going by outside, producing lots of sound that makes it through the noise filter, and yet the VAD knows it's not speech. However, sometimes the VAD seems to get into a bad state and

http://bugzilla.mindrot.org/show_bug.cgi?id=799 Summary: scp incorrectly reports "stalled" on slow copies Product: Portable OpenSSH Version: 3.7.1p2 Platform: All OS/Version: All Status: NEW Severity: minor Priority: P4 Component: scp AssignedTo: openssh-bugs at mindrot.org

You will get better long- term performance if you don't fill the filesystems more than about 70% full. Above 90% you are permanently fragmenting the filesystem (depends on total size and workload also). There is the secondary issue that mke2fs can lay out the filesystem better if it is done right at the start rather than resize2fs doing it in small increments. I think as long as you are

Hi I am trying to use depmixS4 package. Based on the documentation, it seems that depmix allows one to fit an HMM model based on a training data with time-varying co-variates. However, I did not find any routines which can help test the accuracy on the fitted HMM model on out-of-sample data. Can someone confirm if that is indeed the case? Also are there any alternate packages for the same? Thanks

Package news (see below for general description of functionality) depmixS4 version 1.3-0 has been released on CRAN. See the NEWS file for an overview of all changes. The most important user-visible changes are: 1) more compact pretty-printing of parameters in print/summary of (dep)mix objects (following lm/glm style of presenting results) 2) some speed improvements in the EM algorithm, most

Package news (see below for general description of functionality) depmixS4 version 1.3-0 has been released on CRAN. See the NEWS file for an overview of all changes. The most important user-visible changes are: 1) more compact pretty-printing of parameters in print/summary of (dep)mix objects (following lm/glm style of presenting results) 2) some speed improvements in the EM algorithm, most

On Tue, 30 May 2023 17:43:31 +0000 Heather Lucas <hlucas2 at lsu.edu> wrote: > Hello, > > I've been enjoying using the "Mixture and Hidden Markov Models in R" > by Visser & Speekenbrink to learn how to apply these analyses to my > own data using depmixS4. > > I currently have a fitted 4-state mixture model with three emissions > variables and one