Objects			page : 1
aka.serviceusb	External		Service USB control Service USB control. Service USB is a universal interfece that is especially suitable for fischertechink's robot kits.
p.jit.gl.sketch	External		wrapper for jit.gl.sketch as well as making most of the attributes of jit.sketch accessible and editable, p.jit.gl.sketch also allows you to read in, examine and store sketch commands in the coll format
qmetro	External		Queue based metronome The qlim object is similar to a combination of metro and jit.qball. In Jitter, most execution take places in the low priority queue to prevent drawing to the screen at interrupt. Most objects also support automatic "drop-framing" in order to keep up with realtime if the requested operation cannot be calculated in realtime. Certain things like OpenGL drawing commands are not suitable for this kind of "dropframing" and instead, the metronome driving such events must be "dropframed" using jit.qball in order to ensure that they will not backlog the queue. The qmetro is a single object replacement for this functionality.
snum	Abstraction		snum controls midi note input suitable for *~ control in MSP.
page : 1

Libraries
FuzzyLib	debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='139'Alain Bonardi Isis Truck	When manipulating human knowledge such as perception, feelings, appreciation, veracity of facts, etc., the classical logic that recognize only two truth degrees (true or false) is not always the most suitable. To solve this problem, more than two degrees are considered in the non-classical logics. The fuzzy logic is one of these logics. In this logic, facts are represented through membership functions: when the membership value is equal to 1 the fact is exactly true; when it is equal to 0 the fact is exactly false; in between there is an uncertainty about the veracity of the fact. These membership functions are called "fuzzy subsets". They can be of different shapes: gaussian, trapezoidal, triangular, etc. Thus the aim of the fuzzy logic is to propose a theoretical framework for the manipulation - representation and reasoning - of such facts. The Fuzzy Lib library implements all the tools that are necessary to handle this manipulation: representation of a fuzzy subset (among them are the fuzzification, defuzzification and partitioning), reasoning process (generalized modus ponens, fuzzy implications, t-norms, t-conorms, etc.). This version 1 of the Fuzzy Lib enables to implement fuzzification, uncertain reasoning and defuzzification for any number of data in the framework of Max/MSP environment.