“SCRA” is the Steel City Robotics Alliance. There is an online help facility in the tool accessible by clicking on the “?” in the upper right corner. Resources for more Information or Help There are several resources available to help you learn and use the tool. ![]() If you are intrigued by this software, there is plenty of time after the build and competitions are over to explore it more thoroughly. In short, the goal of this tutorial is not to impress you with the tool, but rather to help you use this tool in your build. Therefore, not only is this not going to be a comprehensive user’s manual describing every option and feature in ProjectLibre, the scope of this tutorial is being purposely limited to the smallest set of features you’ll likely need to manage the robot build. Scope of this Tutorial It is impossible in a short tutorial to introduce you to every aspect of project management software whether represented in a free tool like ProjectLibre or commercial tools like Microsoft Project4. Jim Broker, Team 3511’s mentor, has given permission for that spreadsheet to be used in this tutorial as example tasks or as templates as desired. In the spring 2013 robot build, Team 3511 used an Excel3 spreadsheet to view their progress and word of that spreadsheet led to the Project Planning session being requested at the SCRA Workshop. If you haven’t seen them yet, I suggest looking over the slides before continuing with this tutorial. While the terminology will be defined in this tutorial, the “whys” and “oops” in the slides will not be recreated here. The slides cover the introductory material explaining why a team can benefit from using project-planning techniques, introduces some of the terminology that is used and describes some common pitfalls that hopefully you will be able to avoid by being aware of them. First, in writing this tutorial I am presuming that you have either attended the “Project Planning” session at the 2013 SCRA2 Workshop or have read the annotated slides from that session that are posted with this document. Two comments before we get into the “meat” of the subject. Quite importantly, if your team is behind schedule a tool like this can help identify where the team needs to concentrate its effort to achieve the goal of taking a quality robot to Regionals and, possibly, further on to Nationals. While using this type of software to help manage an 8-week project might seem excessive, I believe you will find that this will help you deal with the hectic build period by quickly showing where your team is in the build process and whether it is behind, on, or ahead of schedule. Introduction General Comments Congratulations! Reading this shows that you are interested in using project management software to help with your team’s robot build. 14 Creating a Project with Forward versus Backwards Scheduled Tasks. 3 Resources for more Information or Help. ProjectLibre is a trademark of Marc O’Brien and Laurent Chrettieneau.Ĭontents Introduction. FRC ProjectLibreTM1 Tutorial Using ProjectLibre for Your Robot BuildĬraig Yankes Western PA FIRST Regional Planning Committee
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Disney glossiness evaluation uses now the square root of the value to align with the roughness of Glossy2, Metal, etc.Disney glossiness evaluation (for PGI, Albedo AOV, etc.) now checks metal and specular parameters.Added the support to Intel OIDN plugin for enabling/diasbling prefiltering with.Added a safety check for infinite light source when HDR with invalid values (NaN, Inf, etc.) is used.Added the support for Film-only out-of-core rendering (CUDA-only) with property.GPU out-of-core rendering now automatically disable Film GPU image pipeline to save more memory.Introduced the MIPMAPMEM Scene texture image maps resize policy.Added the support for new pyluxcoretools MakeTX.Added the support for Intel OIDN auxiliary buffers pre-filtering.Introduced the MINMEM Scene texture image maps resize policy.Reworked the way alpha channel is computed for transmitted paths.Introduced the concept of Scene texture image maps resize policy and the support for NONE and FIXED policies.LocalRandomMapping3D now supports optional random rotation step parameter (issue #528).UVRandomMapping2D now supports optional random rotation step parameter (issue #528).Regularize coordinate system to solve some anisotropic related issue with glossy material (pull request #521).FILESAVER avoids to save the internal random image map (used by randomized tiling).Added the support for color spaces (Nop, LuxCore and OpenColorIO) to light sources.Added the support for color spaces (Nop, LuxCore and OpenColorIO) to materials.Added the support for color spaces (Nop, LuxCore and OpenColorIO) to implicit definitions of constant textures.Added the support for color spaces (Nop, LuxCore and OpenColorIO) to constant textures.Added the support for color spaces (Nop, LuxCore and OpenColorIO) to image maps.Added the support for new TONEMAP_OPENCOLORIO tone mapper.Introduced (partial) multi-thread support in pre-processing of Light sources.Optimized the parsing of mesh light sources and it is now about 3x faster.BIDIRCPU can now use PhotonGI caustic cache to render SDS paths. The formula for the test statistic depends on whether the population standard deviation (σ) is known or unknown. If σ is known, our hypothesis test is known as a z test and we use the z distribution. If σ is unknown, our hypothesis test is known as a t test and we use the t distribution. Use of the t distribution relies on the degrees of freedom, which is equal to the sample size minus one. Furthermore, if the population standard deviation σ is unknown, the sample standard deviation s is used instead. To switch from σ known to σ unknown, click on $\boxed$, reject $H_0$. When conducting a hypothesis test, there is always a chance that you come to the wrong conclusion. There are two types of errors you can make: Type I Error and Type II Error. A Type I Error is committed if you reject the null hypothesis when the null hypothesis is true. Ideally, we'd like to accept the null hypothesis when the null hypothesis is true. A Type II Error is committed if you accept the null hypothesis when the alternative hypothesis is true. Hence, it has become a common practice to take the following steps in hypothesis testing. Ideally, we'd like to reject the null hypothesis when the alternative hypothesis is true. ![]() State the statistical hypotheses in terms of the fold change ( ratio) of the means. Transform this into hypotheses about a difference by taking logarithms. Analyze the logged datathat is, do the analysis in terms of the difference. Hypothesis testing is closely related to the statistical area of confidence intervals. If the hypothesized value of the population mean is outside of the confidence interval, we can reject the null hypothesis. Confidence intervals can be found using the Confidence Interval Calculator. The calculator on this page does hypothesis tests for one population mean. Sometimes we're interest in hypothesis tests about two population means. These can be solved using the Two Population Calculator. The probability of a Type II Error can be calculated by clicking on the link at the bottom of the page.The goal of the test proposed by Page (1963) is to allow analyzing rigorously the results of a study carried out within the framework of a complete design, to verify if a series of several treatments should be considered as not different, or if alternatively a ranking of the treatment makes sense. The Page test is a nonparametric method, thus not making any assumption on the distribution of the measurements. This test differs from the Friedman test by the fact that the alternative hypothesis is a ranking of the treatments and not only a difference. If the p-value is such that the H0 hypothesis has to be rejected, then at least one treatment is different from another. If t1, t2, …, tk correspond to the k treatments, the null and alternative hypotheses used in the test are: This test has been extended to the case of incomplete blocks by Alvo and Cabilio (2005). This hypothesis could be tested using normality tests. H0 : The k treatments are not significantly different.The TOST test uses Students test to check the equivalence between the means of two samples. A detailed description of such tests can be found in the chapter dedicated to t tests. XLSTAT offers two equivalent methods to test equivalence using the TOST test. To compute the p-values corresponding to the various statistics, XLSTAT offers two alternative methods: Where, for the alternative hypotheses, at least one inequality is strict. Asymptotic method: The p-value is obtained using the asymptotic approximation of the distribution of the z statistics.The reliability of the approximation depends on the number of treatments and on the number of blocks. Monte Carlo method: The computation of the p-value is based on random resamplings.The user must set the number of resamplings. A confidence interval on the p-value is provided. The more resamplings are performed, the better the estimation of the p-value. ![]() In order to avoid freezing Excel because of too long computations, it is possible with the two latter methods to set the maximum time that should be spent computing the p-value. To identify which treatment(s) is/are responsible for rejecting H0, a multiple comparison procedure can be used, XLSTAT allows using the procedure suggested by Cabilio and Peng (2008), with two alternative ways to compute the p-value of the paired comparisons. Ce tutoriel explique comment calculer et interprter un test non-paramtrique de Cochran-Mantel-Haenszel CMH avec Excel en utilisant XLSTAT. It can either use the normal approximation of a Monte Carlo based -pvalue. 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( freetype2-minimal-git, freetype2-ttmetrics, freetype2-v35, freetype2-git, freetype2-ultimate5, freetype2-infinality-remix) ( ffmpeg-v4l2-request-git, ffmpeg-nox-git, ffmpeg-svt-vp9-git, ffmpeg-intel-full-git, ffmpeg-yt-dlp-bin, ffmpeg-shinobi, ffmpeg-git, ffmpeg-ndi, ffmpeg-libfdk_aac, ffmpeg-mmal, ffmpeg-amd-full-git, ffmpeg-amd-full, ffmpeg-nocuda, ffmpeg-headless, ffmpeg-full-git, ffmpeg-decklink, ffmpeg-full, ffmpeg-obs, ffmpeg-cuda) Continued abuse of our services will cause your IP address to be blocked indefinitely. Please fill out the CAPTCHA below and then click the button to indicate that you agree to these terms. If you wish to be unblocked, you must agree that you will take immediate steps to rectify this issue. If you do not understand what is causing this behavior, please contact us here. If you promise to stop (by clicking the Agree button below), we'll unblock your connection for now, but we will immediately re-block it if we detect additional bad behavior. Overusing our search engine with a very large number of searches in a very short amount of time.Using a badly configured (or badly written) browser add-on for blocking content.Running a "scraper" or "downloader" program that either does not identify itself or uses fake headers to elude detection.Using a script or add-on that scans GameFAQs for box and screen images (such as an emulator front-end), while overloading our search engine.There is no official GameFAQs app, and we do not support nor have any contact with the makers of these unofficial apps. Continued use of these apps may cause your IP to be blocked indefinitely. This triggers our anti-spambot measures, which are designed to stop automated systems from flooding the site with traffic. Some unofficial phone apps appear to be using GameFAQs as a back-end, but they do not behave like a real web browser does.Using GameFAQs regularly with these browsers can cause temporary and even permanent IP blocks due to these additional requests. If you are using Maxthon or Brave as a browser, or have installed the Ghostery add-on, you should know that these programs send extra traffic to our servers for every page on the site that you browse.The most common causes of this issue are: The full WWE 2K20 RosterĪs ever, there’s a huge number of superstars on the roster this year.Your IP address has been temporarily blocked due to a large number of HTTP requests. The former Raw Women’s Champion and WrestleMania headliner receives a 90 rating, three points better than last year. 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