search for: energy

Thank you for the link! It is not clear though what -Oe actually implements. Does it simply optimize for speed as suggested by Chris or it does other things? Generally speaking, speed correlates well with low energy, because completing the task in fewer cycles means consuming less energy unless the speed optimization causes the energy per cycle to be significantly higher. In theory, some compiler and hardware optimizations such as instruction-level parallelism (ILP), speculative execution and pre-fetching incr...

Hi All. I have a problem with authorization users AD via kerberos in Dovecot&Postfix. Windows SRV 2008 Standart - AD mail server: Gentoo + cyrus-sasl + postfix + dovecot with support ldap&kerberos. I am created a 4 keytabs on Windows box. C:\Users\Admin>ktpass -princ host/srv-mail.cn.energy at CN.ENERGY -mapuser ldapmail at CN.ENERGY -pass "superpasswd" -crypto RC4-HMAC-NT -ptype KRB5_NT_PRINCIPAL -out c:\mail.keytab etc... for all imap/srv-mail.cn.energy pop/srv-mail.cn.energy smtp/srv-mail.cn.energy host/srv-mail.cn.energy On Linux server: ktutils ktutils: rkt /root/K...

R Users, We would like to announce that Version 1.0.1 of the energy package is now available on CRAN. The energy package introduces a new class of statistical tests based on the concept of Newton's potential energy. Included in the package are * mvnorm.etest (test) and mvnorm.e (statistic) A rotation invariant multivariate goodness-of-fit test,...

R Users, We would like to announce that Version 1.0.1 of the energy package is now available on CRAN. The energy package introduces a new class of statistical tests based on the concept of Newton's potential energy. Included in the package are * mvnorm.etest (test) and mvnorm.e (statistic) A rotation invariant multivariate goodness-of-fit test,...

Hi All, Does LLVM currently have any power/energy reduction optimizations or any performance optimizations that take power/energy consumption into account? We are currently working on a research project on instruction scheduling for low power (experimenting with different algorithms for minimizing switching power) and would like to find out if any...

See http://llvm.org/bugs/show_bug.cgi?id=6210. -- Sean Silva -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20130415/e948b489/attachment.html>

Hi everybody, Suppose I have continuous measurements of an energy waveform that is sampled discretely for different heights every 0.5m. Let's say I want to find out the height for which I have equal amount of energy above and below. My colleague did the following: a. calculate the cumulative sum of the energy b. calculate the median of the cumulative energy...

If I source in the function (see below) calib(), I get: > source("papers/helle/threshold.r") > calib() Error in eval(expr, envir, enclos) : Object "energy" not found But if I cut and paste the code for calib() one line at a time into the R window it works fine. calib<-function() { contrast<-c(.01,.02,.0325,.055,.0775,.1,.125,.15,.175,.2) energy<-c(3.53189e-5,.000141275,.000373056,.0010684,.00212134,.00353189, .00551857,.00794675,.0108...

...ces are growing up higer and higer! A great amount of electricity generating plants uses oil-products. May be your domestic electrical power supplier or heat register works by using oil-products. High technologies of solar extraction also are very effective in bad light or sun and the accumulating energy can be saved inside special batteries. That is why we can talk about full energy-independent house. In century of high technologies we can't imagine town life without energy. A lot of states in the USA has enough reserve of solar power to generate needed electric energy. Furthermore the Pre...

...ces are growing up higer and higer! A great amount of electricity generating plants uses oil-products. May be your domestic electrical power supplier or heat register works by using oil-products. High technologies of solar extraction also are very effective in bad light or sun and the accumulating energy can be saved inside special batteries. That is why we can talk about full energy-independent house. In century of high technologies we can't imagine town life without energy. A lot of states in the USA has enough reserve of solar power to generate needed electric energy. Furthermore the Pre...

...ones are computationally expensive, and not usable at all > mathematically. Your paper uses just one simple model. Using model of what ? ok, it models the coefficient distrubution with a gaussian curve. check for yourself. the distrubution IS gaussian-like. the solution just tries to keep the energy of the quantized signal close to the energy of the original signal which 'plain uniform quantization' does not (as showed). the desire of keeping the energy level of the quantized signal as close as possible to the original one is of course reasonable because the perceived loudness depends...

Dear all, herewith we proudly announce the first public release of Snooze. Snooze is an open-source scalable, autonomic, and energy-efficient virtual machine (VM) management framework for private clouds based on libvirt. Similarly to other VM management frameworks such as Nimbus, OpenNebula, Eucalyptus, and OpenStack it allows to build compute infrastructures from virtualized resources. Particularly, once installed and con...

Hello, can someone help? How come > gsub("\bINDS\b","INDUSTRIES","ADVANCED ENERGY INDS") [1] "ADVANCED ENERGY INDS" not ADVANCED ENERGY INDUSTRIES Thanks. Richard [[alternative HTML version deleted]]

...rmine what that is. Thanks in advance for your help. Adam dd <- datadist(all.data2.stand) options(datadist='dd') bp.cat2 <- all.data2.stand$bp.cat2 u <- cr.setup(bp.cat2) u b.mean <-rep(all.data2.stand$b.mean, u$reps) r.mean <-rep(all.data2.stand$r.mean, u$reps) mean.ova.energy <- rep(all.data2.stand$mean.ova.energy, u$reps) y <- (u$y) # constructed binary response cohort <- u$cohort attach(all.data2.stand[u$subs,]) dd <- datadist(dd, cohort) ord.cr <- lrm(y ~ cohort + mean.ova.energy + b.mean + r.mean, x=TRUE, y=TRUE, na.action=na.delete) summary(ord.cr...

...conductor, see 'citation("Biobase")' and for packages 'citation(pkgname)'. registering new summary method 'pdnn'. registering new pmcorrect method 'pdnn' and 'pdnnpredict'. > library(hgu133atagprobe) Loading required package: AnnotationDbi > energy.file <- system.file("exampleData", "pdnn-energy-parameter_hg-u133a.txt", package = "affypdnn") > params.chiptype <- pdnn.params.chiptype(energy.file, probes.pack = "hgu133aprobe") Calculating chip type specific parameters, (may take some time)... |...

Dear R-users, An updated version of the energy package, energy 1.1-0, is now available on CRAN. This version has merged the dcov package (previously available from my personal web page) into energy. New functions include: dcov (distance covariance) dcor (distance correlation) DCOR (four statistics) dcov.test (distance covariance test of mu...

Dear R-users, An updated version of the energy package, energy 1.1-0, is now available on CRAN. This version has merged the dcov package (previously available from my personal web page) into energy. New functions include: dcov (distance covariance) dcor (distance correlation) DCOR (four statistics) dcov.test (distance covariance test of mu...

Hello, I always thought that Energy Savings mode existed with ISDN Basic Rate Interface in Point -to-multi-Point but it didn't with Point-to-point. Is this correct ? Have you ever met a public PSTN switch configured to "cut" B ISDN channels in Point-to-point.signalling ? Regards. -------------- next part -------------...

Hello, I need some help in plotting time series. I have dataframe Data with two column and thousands of row, I want wherever the sequence corresponding to Energy column is changed the color change should be reflected in Time Series plot, some rows of dataframe are below Energy sequence 13536 3 14335 3 14638 3 25363 3 18511 2 18371 2 14555 3 I am able to plot time series by:- Data.energy<- ts(Data$ Energy, freque...

...100 150 180 200 220 > serie[,2] ## second ts Time Series: Start = 1999 End = 2003 Frequency = 1 [1] 200 210 220 230 250 Regards Vito you wrote: In a dataframe you call one of the variable (or the column) connecting the name of the column to the dataframe name by means of the $ sign: so z$energy is the column named energy in the dataframe z. I don't know how to do the same with a multi-variable time-series. I tried both z.energy, z$energy to no avail. What's the right synthax? Ciao Vittorio ===== Diventare costruttori di soluzioni Became solutions' constructors "The...