Science & Software
Software for researchers, Databases, Big Data, Neural Networks, Machine Learning…
Science exists since the humankind does, it’s in our nature to explore our surroundings and to try to determine how things happen. The investigation techniques and therefore the instrumentation of scientific research have, of course, changed as humankind has evolved. In the past few decades, huge steps have been taken. It was no long ago when computers were unknown to us and calculations had to be done by hand. Only a few years ago the instruments were, in some cases electric, but never
Science Software has two main areas of interest, Control Software, and Data Processing Software. Control software refers to any programme used to control a scientific instrument and obtain valuable data. Data Processing Programmes, as its name suggests, are programs that extract useful information from the data provided by scientific instruments.
It’s easy to control one single instrument that was recently bought, you just install de drivers and read the instructions. But what about older equipment whose drivers are missing or are no longer compatible with your Operating System. What about a handmade equipment whose drivers were never written. What if you buy a lot of new equipment and you want it to work altogether. For example, when building a new observatory a master control software is required. If any of this sounds familiar, you may need a Control Software solution. At Space Robotics we have professional programmers that will write the software you need with a clear code and a user-friendly interface. Contact us with the form below and tell us what you need.
Data Processing Software
Once your valuable data has been acquired, the first thing to do is safely store it. For small amounts of data, standard text files are ok, but things are not that easy when handling a lot of information. For such situations, databases are the solution, a database allows you to safely store your data while keeping it organized and accessible.
At Space Robotics we create personalized databases specially designed for our customers’ needs, and once your data is safely stored and accessible, it’s time to put it to use. Many data processing solutions are available to do so.
Machine Learning and Neural Networks
Machine Learning is a new technique to process data. Let’s say you have a lot of images and you need to look for certain figures in them, or maybe you have millions of measures over time and you are looking for certain patrons, the type of data does not really matter.
To overcome this situation you could manually try to detect all the figures or patrons, but this would take forever, of course, you could write a program designed to detect those figures or patrons, but if they are complex it will be insanely difficult to explain to the program what to look for, and it won’t work properly, it will detect patrons where there are not and skip many figures.
Fortunately, there is a third option for these scenarios: machine learning. With machine learning, instead of explaining to the program what it is supposed to detect, we teach them to do so with several examples in which we tell the machine where the figure or the patron is.
Neural Networks is one of the possible mechanisms that the machine could use to learn from this examples. After a few examples, the program on its own learns how those figures or patrons are from its own point of view, and its ready to detect them in giants amounts of data. With the form below you can contact us if you think you could benefit from our Neural Networks for Machine Learning.
Big Data refers to datasets so huge and complex that standard processing programs cannot deal with them in a reasonable processing time. To deal with such amounts of data and obtain real valuable information that can be handled and used, specialized methods have been developed.
If you think that your amount of data will reach this point, consider contacting us with the form below and we will study the situation to provide a Big Data solution.
A computer model is the algorithms and equations used to capture the behavior of the system being modeled. By contrast, computer simulation is the actual running of the program that contains these equations or algorithms. Simulation, therefore, is the process of running a model.
Simulation programs are extremely useful when studying dynamic systems where an initial measurable scenario suffers a transformation process and changes into a new final
If after introducing the initial parameters that you measured, the simulation results agree with the data acquired from the final scenario, this means that the model that has been used is accurate and can be used to predict future situations or to explain how the transformation process works.
The initial parameters requirements vary widely. For some, the input might be just a few numbers (for example, simulation of a waveform of AC electricity on a wire), while others might require terabytes of information (such as weather and climate models).
Because of this variety, and because diverse simulation systems have many common elements, there are a large number of specialized simulation languages.
If you are interested in simulation software, contact us through the form below and we will assist you and deliver the program that best suits your experiment.
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