Design Your Own Rocket
Once you have a final design, you can run it through simulations. The simulator can apply different conditions on your rocket, like applying crosswinds or taking Coriolis effects into account, and it shows how your model rocket should behave. OpenRocket uses JFreeChart to plot your rocket's behavior based on the simulation results.
You even can add your own code to the simulation to add extra effects. One way to do this is using Python and jPype to use Python code in the simulations. Additionally, you have the ability to write and use your own expressions in the simulator. This allows you to customize the simulator to a great degree without having to add external code. Then, you can see the limits of what your model should be able to handle and how high it will go under different conditions. This is really great in helping you decide when the weather is going to be too rough for your design.
You can run an analysis on the different components of your rocket.
You can optimize your rocket to maximize certain parameters.
You can run full simulations to see how your rocket will behave in different conditions.
I have covered only the features available in the most minimal way. If you are into building and flying model rockets, your time definitely will be well spent poking around all of OpenRocket's available features. The Rocketry Forum hosts a forum where you can ask for further help. And once you have gained some experience, you can give back by helping other new rocket enthusiasts. Go ahead and design your fleet, and get yourself out into the wild frontier of space!
Joey Bernard has a background in both physics and computer science. This serves him well in his day job as a computational research consultant at the University of New Brunswick. He also teaches computational physics and parallel programming.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide