Abstract: A method for recognizing a reference point associated with a fiducial marker including the steps of: obtaining or receiving image data of the fiducial marker; determining the degree of which the image data of the fiducial marker is aligned with one or more reference images; of which if the degree of alignment is determined to be less than an acceptable threshold predicting a set of coordinates of the reference point associated with the fiducial marker; incorporating the set of coordinates with the image data to form a modified image data; and determining the degree of which the modified image data of the fiducial marker is aligned with one or more reference images.

Abstract: A package substrate stack modeler includes a manufacturing modeler, configured to generate a model of a real package substrate stack based on an ideal design of the package substrate stack; a signal integrity model, configured to determine a signal integrity of a metal trace of the real package substrate stack; and a yield model, configured to determine a yield of the real package substrate stack; wherein the metal trace comprises a first value of a trace variable; further comprising a processor, configured to select a second value of the trace variable of the metal trace based on the determined signal integrity of the metal trace or the determined yield of the package substrate stack model.

Abstract: A method for providing a 3D shape model for a new process in an additive manufacturing system includes receiving an unoptimized 3D model of one or more shapes based on a first process (P1); receiving deviation information based on P1; baseline deviation modeling of P1 based on the received unoptimized 3D model and the received deviation information to thereby generate an optimized 3D model for the one or more shapes based on P1; applying a transfer function that connects deviation information of P1 to deviation information of a second process (P2); receiving deviation information based on P2; adaptively modeling the deviations of P2 based on the transformed baseline model and the deviation information of P2; generating an optimized 3D model for the one or more shapes based on P2; and generating a compensation plan for additively manufacturing the one or more shapes between P1 and P2.

Abstract: A method for providing a 3D shape model for a new process in an additive manufacturing system includes receiving an unoptimized 3D model of one or more shapes based on a first process (P1); receiving deviation information based on P1; baseline deviation modeling of P1 based on the received unoptimized 3D model and the received deviation information to thereby generate an optimized 3D model for the one or more shapes based on P1; applying a transfer function that connects deviation information of P1 to deviation information of a second process (P2); receiving deviation information based on P2; adaptively modeling the deviations of P2 based on the transformed baseline model and the deviation information of P2; generating an optimized 3D model for the one or more shapes based on P2; and generating a compensation plan for additively manufacturing the one or more shapes between P1 and P2.