I want to know tools which can visualize the state transitions in a Finite state machine defined in XML. It would be helpful if it can generate animations for the transitions
For visualizing try the ATT Graphviz tools
You will probably have to convert from the XML to the specific Graphviz language.
Related
I would like to model a pipe immersed in a fluid cavity to study the heat transfer between the two fluids. I modeled this by using two DynamicPipe connected to the same WallConstProp but I'm not sure it is a correct way to model it. My question is : is there a specific component available in the MSL to model such a configuration or should I look in other libraries ?
Best regards,
Maxime
There is no such component for the heat transfer of a pipe to a surrounding fluid in the Modelica Standard Library as far as I know. If you only need heat transfer orthogonal to the flow in the wall then it is a good assumption to model both fluids with a pipe connected via a heat transfer. You can create your own heat transfer model based e.g. on a Nusselt correlation in order to model the heat transfer to a surrounding fluid for the second pipe.
The MSL offers basic components to provide a common basis for all Modelica users and works as a starting point. Specific applications can be covered by specific commercial or open source libraries.
I am trying to implement TTS. I have just read about wavenet, but, I am confused on local conditioning. The original paper here, explains to add a time series for local conditioning, this article explains that adding mel spectrogram features for local conditioning is fine. As we know that Wavenet is a generative model and takes raw audio inputs to generate high audio output when conditioned,
my question is that the said mel spectrogram features are of that raw audio passed as in the input or of some other audio.
Secondly, for implementing a TTS the audio input will be generated by some other TTS system whose output quality will be improved by wavenet, am I correct to think this way??
Please help, it is direly needed.
Thanks
Mel features are created by actual TTS module from the text (tacotron2 for example), than you run vocoder module (Wavenet) to create speech.
It is better to try existing implementation like Nvidia/tacotron2 + nvidia/waveglow. Waveglow is better than wavenet between, much faster. Wavenet is very slow.
I need to generate surface generation from a segmented NIFTI file. I can do that easily in 3D slicer but I want to do that in Python. Is it possible to do that in Python?
I tried using VTK model but it is not showing the Surface rendered output.
check out simpleITK. It has tools that can read in series with full 3d awareness, and also generate various surfaces for you.
It isn't an app that will display things for you however, but there are various examples you can find for how to take the output of simpleITK and use with various visualisation options.
You can do that easily by scripting in 3D Slicer. You don't need to use the graphical user interface, just launch a Python script from the command-line. You can put together the script you need from examples in the script repository (for example https://www.slicer.org/wiki/Documentation/Nightly/ScriptRepository#Export_model_nodes_from_segmentation_node).
I don't know what the differences are between a transition diagram and finite automata. When I google for 'transition diagram', I get state diagrams as a result.
Is there a difference between transition diagrams and finite automata? Or is finite automata a form of transition diagrams?
Thanks.
A transition diagram is a way of visually representing finite state machines. It's kind of on the borderline between flowcharts and source code; it contains enough information to completely describe the finite state machine, but when implementing FSMs on a computer, we generally use other representations that are easier for the computer to process.
A transition diagram for DFA, is a graph shows moment or transition
between states For each state in Q there is a node represented by the
circle.3 main components are initial state,final state and inputs
. Finite machine . It is an abstract machine shows finite number
of states it is the simplest machine to recognize patterns.
Hope this will be helpfull for you.
Finite Automata is a machine where you feed the machine with some input and the machine produces a respective output(Mealy Machine, Moore machine) or no output at all(Deterministic Finite Automata, Non Deterministic Finite Automata) depending on the machine.
Whereas, a transition diagram is used to show the transition from one state to another which is used by all of the above machines. For Example transition from Q1 (initial state) to QF (Final state).
A finite automaton (FA) as name implies Finite number of states
is a simple idealized machine used to recognize patterns within input taken from some character set (or alphabet) .
The job of an FA is to accept or reject an input string depending on whether that string being accepted by FA or not.
whereas ;
Transition daigram can be interpreted as a flowchart for an algorithm recognizing a language ; show the transition form one state to other after recieving input strings consists of three things:
A finite set of states, at least one of which is designated the start state and some of which are designated as final states
Please recommend framework for Finite State Machine creation and simulation. I am aware of Stateflow package in Matlab, but are there any other good choices? It shouldn't be only Matlab. Frameworks on Java, R or Python are also ok.
What I am basically trying to do is to evolve automata for binary sequence prediction problem, like shown in this article
Thanks.
Consider Ragel. It has a manual and a good amount of examples; I find the documentation superior to that of AT&T Research's FSM Tools (which consisted of a couple manpages and sparse examples).