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Faculty of Social Sciences
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Lossi 36, 51003 Tartu
Faculty of Medicine
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Ravila 19, 50411 Tartu
Faculty of Science and Technology
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+372 737 5820
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Vanemuise 46–208, 51005 Tartu
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Contacts of UT units

• In patcher area 1 , enable the toggle object attached to the SWYIVY Womens Luxury Rhinestone 40 2018 Summer Fish Mouth How Much Online Explore 449t7P
box labeled parallel $1 . Restart the audio by turning the off and on. Notice the effect, if any, on the CPU.

Depending on your computer architecture, you can take advantage of multiple cores in your computer's CPU (or multiple processors if you have a multi-processor machine) by dividing the poly~ object's resources over multiple threads . In essence, this divides the instances of the poly~ object across the different cores or processors of your computer, allowing sets of voices to run in parallel. Depending on your computer's CPU architecture, this may provide a significant boost in performance.

• Double-click the poly~ object to view an instance of the abstraction named polygrain~ . Take a look around the patcher.

The polygrain~ abstraction recieves a single bang (via the object at the top of the patcher) and uses it to generate a grain of audio, using the MSP logic at the bottom of the abstraction. The trigger object at the top of the patch clearly sets up the order of events for generating our grain:

First, the thispoly~ object receives a mute 0 and 1 message in immediate succession. This turns on (unmutes) the signal processing in the instance, and sets it's state to 'busy', so that it won't receive any more note messages until the grain is finished.

Next, a bang is dispatched to generate a random amplitude for the grain, which goes into the right side of the object labeled 'how loud is this grain?'. This controls the scaling for the output of the line~ object above that sets the grain envelope.

Third, a random pitch is selected which is transformed into a duration multiplier for the line~ objects controlling the playback of the sample and its amplitude envelope. The object divides the incoming pitch into 1. , so that a requested pitch of 2. tells the objects downstream to multiply their durations by 0.5 (half as long, and up an octave).

Fourth, a random duration is generated, which sets up the parameters for the line~ objects so that they generate the appropriately scaled and offset values for the grain length.

Finally, a grain is triggered by generating a random start point based on the highlighted areas in the waveform~ object in the main patcher. This bang eventually generates two messages which command the two line~ objects to generate the playback curve for the play~ object and the amplitude envelope for the objects.

An ABox is a finite set of assertional axioms.

A knowledge base (KB) is an ordered pair ( T , A ) {\displaystyle ({\mathcal {T}},{\mathcal {A}})} for T {\displaystyle {\mathcal {T}}} and A {\displaystyle {\mathcal {A}}} .

The semantics of description logics are defined by interpreting concepts as sets of individuals and roles as sets of ordered pairs of individuals. Those individuals are typically assumed from a given domain. The semantics of non-atomic concepts and roles is then defined in terms of atomic concepts and roles. This is done by using a recursive definition similar to the syntax.

The following definitions follow the treatment in Baader et al. Wholesale LED Light Running Shoes Buy Cheap Best Seller Shopping Online Clearance Really Cheap Shoes Online Cheap Sale Fake Footlocker Pictures IedFaZ8

A terminological interpretation I = ( Δ I , I ) {\displaystyle {\mathcal {I}}=(\Delta ^{\mathcal {I}},\cdot ^{\mathcal {I}})} over a signature ( N C , N R , N O ) {\displaystyle (N_{C},N_{R},N_{O})} consists of

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