Abstract: An image capturing device (10) for associating a target class with an object (14) is provided, wherein the image capturing device (10) has an image sensor (20) for recording image data having the object (14) and a control and evaluation unit (22) that is configured to evaluate and classify the image data using a method of machine learning, in particular a neural network, and to associate a target class with the image data. In this respect, the control and evaluation unit (22) is further configured to use as a method of machine learning a multiclass classifier for the classification into a plurality of intermediate classes that determines respective confidence values for the association of the image data with a respective intermediate class and subsequently to determine the target class by applying a map of confidence values in target classes.

Abstract: An adjustment mechanism variably adjusts the cross-section of a compressor inlet. The adjustment mechanism comprises a plurality of rotatable orifice elements and a transmission ring. Each orifice element has a plate body, a coupling element and a bearing pin. The transmission ring is mechanically coupled to the orifice elements via the coupling elements. One of the orifice elements is configured as a drive orifice element. The bearing pin of the drive orifice element is configured as an elongated bearing pin. The elongated bearing pin is configured longer than the bearing pins of the other orifice elements. Furthermore, the elongated bearing pin is adapted to be coupled to an actuation system such that when the drive orifice element is moved by the actuation system, movement is transmitted from the drive orifice element via the transmission ring to the other orifice elements.

Abstract: An electronic component (10a, 10b), with assignment of an address to the component, comprises a first terminal (A10a) for the application of a first signal (SCL) and a second signal (SDA) different from the first signal, and a second terminal (A10b), different from the first terminal, for the application of the first signal (SCL) and the second signal (SDA). Depending on the external connection of the first and second terminals (A10a, A10b), the component is assigned an address by means of which the component is addressable.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method of verifying a digital design is disclosed. The method comprises generating a reference model for a first digital design and creating an operational model for a second digital design, wherein the first digital design and the second digital design are intended to have a same logical function. A plurality of testcase types are then created by constraining one or more internal signals, and one or more test scripts representing the plurality of testcase types are produced. The method also includes verifying the second digital design with a testing simulation program by comparing results of the test scripts from the operational model and the reference model.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method for performing verification includes receiving a design and building for the design an intermediate binary decision diagram set containing one or more nodes representing one or more variables. A first case-splitting is performed upon a first fattest variable from among the one or more variables represented by the one or more nodes by setting the first fattest variable to a primary value, and a first cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using an inverse of the primary value to generate a first cofactored binary decision diagram set. A second cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using the primary value to generate a second cofactored binary decision diagram set, and verification of the design is performed by evaluating a property of the second cofactored binary decision diagram set.

Abstract: A method for performing verification includes receiving a design and building for the design an intermediate binary decision diagram set containing one or more nodes representing one or more variables. A first case-splitting is performed upon a first fattest variable from among the one or more variables represented by the one or more nodes by setting the first fattest variable to a primary value, and a first cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using an inverse of the primary value to generate a first cofactored binary decision diagram set. A second cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using the primary value to generate a second cofactored binary decision diagram set, and verification of the design is performed by evaluating a property of the second cofactored binary decision diagram set.

Abstract: A method of verifying a digital design is disclosed. The method comprises generating a reference model for a first digital design and creating an operational model for a second digital design, wherein the first digital design and the second digital design are intended to have a same logical function. A plurality of testcase types are then created by constraining one or more internal signals, and one or more test scripts representing the plurality of testcase types are produced. The method also includes verifying the second digital design with a testing simulation program by comparing results of the test scripts from the operational model and the reference model.

Abstract: A method of verifying a digital design is disclosed. The method comprises generating a reference model for a first digital design and creating an operational model for a second digital design, wherein the first digital design and the second digital design are intended to have a same logical function. A plurality of testcase types are then created by constraining one or more internal signals, and one or more test scripts representing the plurality of testcase types are produced. The method also includes verifying the second digital design with a testing simulation program by comparing results of the test scripts from the operational model and the reference model.

Abstract: A method for performing verification includes receiving a design and building for the design an intermediate binary decision diagram set containing one or more nodes representing one or more variables. A first case-splitting is performed upon a first fattest variable from among the one or more variables represented by the one or more nodes by setting the first fattest variable to a primary value, and a first cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using an inverse of the primary value to generate a first cofactored binary decision diagram set. A second cofactoring is performed upon the intermediate binary decision diagram set with respect to the one or more nodes using the primary value to generate a second cofactored binary decision diagram set, and verification of the design is performed by evaluating a property of the second cofactored binary decision diagram set.

Abstract: A method, system and computer program product for building decision diagrams efficiently in a structural network representation of a digital circuit using a dynamic resource constrained and interleaved depth-first-search and modified breadth-first-search schedule is disclosed. The method includes setting a first size limit for a first set of one or more m-ary decision representations describing a logic function and setting a second size limit for a second set of one or more m-ary decision representations describing a logic function. The first set of m-ary decision representations of the logic function is then built with one of the set of a depth-first technique or a breadth-first technique until the first size limit is reached, and a second set of m-ary decision representations of the logic function is built with the other technique until the second size limit is reached.

Abstract: A method for verifying a design through symbolic simulation is disclosed. The method comprises creating one or more binary decision diagram variables for one or more inputs in a design containing one or more state variables and building a binary decision diagram for a first node of one or more nodes of the design. A binary decision diagram for the initial state function of one or more state variables of the design is generated and the design is subsequently initialized. Binary decisions diagrams for one or more constraints are synthesized. A set of constraint values is accumulated over time by combining the binary decision diagrams for the one or more constraints with a set of previously generated binary decision diagrams for a set of constraints previously used in one or more previous time-steps. A binary decision diagram for the next state function of the one or more state variables in the design is constructed in the presence of the constraints.

Abstract: A support or holder for at least one line is surrounded by two holding clamps that can be clamped together by the application of tension. To achieve a simple construction and a high degree of flexibility with regard to the position and the cross section of the lines, there is a holding rail that can be formed for a plurality of pairs of holding clamps, whereby each two symmetrically curved holding clamps enclose a line between their concave facing sides in a form-fitting or frictional manner.