Abstract: Methods and systems for setting up alignment of a specimen are provided. One system includes computer subsystem(s) configured for acquiring two-dimensional (2D) images generated from output of a detector of an output acquisition subsystem at template locations in corresponding areas of printed instances on a specimen. The computer subsystem(s) determine offsets in x and y directions between the template locations using the 2D images and determine an angle of the specimen with respect to the output acquisition subsystem based on the offsets. If the angle is greater than a predetermined value, the computer subsystem(s) rotate the specimen and repeat the steps described above. If the angle is less than the predetermined value, the computer subsystem(s) store one of the 2D images for alignment of the specimen in a process performed on a specimen. The 2D images may include multi-mode images, which may be fused prior to determining the offsets.

Abstract: The invention uses a new system which cuts and unlocks a wrapping material (PE film) for cotton in a continuous manner in cotton harvesting, and a new method in production of such film. The film consists of many segments that make many bales of cotton. The film is separated with perforation by laser or other methods. A double sided adhesive is used to glue the bale at the end of it, which is covered by a folded bridge. The bridge connects both ends of the segments of the film. When perforated film is torn at a signal by the harvest machine, the bridge is unfolded as a leading edge for the next segment after a brief bridge linkage of both segments. The way of folding the bridge is key part of the invention, which accurately uncovers the end adhesive for the new bale and reduces the problem of tangling of the film at the time of separation.

Abstract: The invention uses a new system which cuts and unlocks a wrapping material (PE film) for cotton in a continuous manner in cotton harvesting, and a new method in production of such film. The film consists of many segments that make many bales of cotton. The film is separated with perforation by laser or other methods. A double sided adhesive is used to glue the bale at the end of it, which is covered by a folded bridge. The bridge connects both ends of the segments of the film. When perforated film is torn at a signal by the harvest machine, the bridge is unfolded as a leading edge for the next segment after a brief bridge linkage of both segments. The way of folding the bridge is key part of the invention, which accurately uncovers the end adhesive for the new bale and reduces the problem of tangling of the film at the time of separation.

Abstract: The invention uses a new system which cuts and unlocks a wrapping material (PE film) for cotton in a continuous manner in cotton harvesting, and a new method in production of such film. The film consists of many segments that make many bales of cotton. The film is separated with perforation by laser or other methods. A double sided adhesive is used to glue the bale at the end of it, which is covered by a folded bridge. The bridge connects the both ends of the segments of the film. When perforated film is torn at a signal by the harvest machine, the bridge is unfolded as a leading edge for the next segment after a brief bridge linkage of both segments. The way of folding the bridge is key part of the invention, which accurately uncovers the end adhesive for the new bale and reduces the problem of tangling of the film at the time of separation.

Abstract: Methods and systems for setting up alignment of a specimen are provided. One system includes computer subsystem(s) configured for acquiring two-dimensional (2D) images generated from output of a detector of an output acquisition subsystem at template locations in corresponding areas of printed instances on a specimen. The computer subsystem(s) determine offsets in x and y directions between the template locations using the 2D images and determine an angle of the specimen with respect to the output acquisition subsystem based on the offsets. If the angle is greater than a predetermined value, the computer subsystem(s) rotate the specimen and repeat the steps described above. If the angle is less than the predetermined value, the computer subsystem(s) store one of the 2D images for alignment of the specimen in a process performed on a specimen. The 2D images may include multi-mode images, which may be fused prior to determining the offsets.

Abstract: Systems and methods for coordinating network and control parameters of a power distribution system (PDS) with interconnected microgrids in response to a subset of interconnected microgrids entering island-mode due to a predicted future disaster, generating samples of network and control parameter combinations, determining optimal adjustments of network and control parameters with respect to the disaster condition, determining optimal set of network and control parameters to be reinforced or adjusted, activating the parameter adjustments and reinforcements on the determined tie lines and PCCs of the microgrids.

Abstract: The invention uses a new system which cuts and unlocks a wrapping material (PE film) for cotton in a continuous manner in cotton harvesting, and a new method in production of such film. The film consists of many segments that make many bales of cotton. The film is separated with perforation by laser or other methods. A double sided adhesive is used to glue the bale at the end of it, which is covered by a folded bridge. The bridge connects the both ends of the segments of the film. When perforated film is torn at a signal by the harvest machine, the bridge is unfolded as a leading edge for the next segment after a brief bridge linkage of both segments. The way of folding the bridge is key part of the invention, which accurately uncovers the end adhesive for the new bale and reduces the problem of tangling of the film at the time of separation.

Abstract: Methods and systems for detecting defects on a specimen are provided. One system includes a first deep learning (DL) network configured for filtering nuisances from defect candidates detected on a specimen. Output of the first DL network includes a first subset of the defect candidates not filtered as the nuisances. The system also includes a second DL network configured for filtering nuisances from the first subset of the defect candidates. Computer subsystem(s) input high resolution images acquired for the first subset of the defect candidates into the second DL network. Output of the second DL network includes a final subset of the defect candidates not filtered as the nuisances. The computer subsystem(s) designate the defect candidates in the final subset as defects on the specimen and generate results for the defects.

Abstract: Systems and methods for coordinating network and control parameters of a power distribution system (PDS) with interconnected microgrids in response to a subset of interconnected microgrids entering island-mode due to a predicted future disaster, generating samples of network and control parameter combinations, determining optimal adjustments of network and control parameters with respect to the disaster condition, determining optimal set of network and control parameters to be reinforced or adjusted, activating the parameter adjustments and reinforcements on the determined tie lines and PCCs of the microgrids.

Abstract: Methods and systems for detecting defects on a specimen are provided. One system includes a first deep learning (DL) network configured for filtering nuisances from defect candidates detected on a specimen. Output of the first DL network includes a first subset of the defect candidates not filtered as the nuisances. The system also includes a second DL network configured for filtering nuisances from the first subset of the defect candidates. Computer subsystem(s) input high resolution images acquired for the first subset of the defect candidates into the second DL network. Output of the second DL network includes a final subset of the defect candidates not filtered as the nuisances. The computer subsystem(s) designate the defect candidates in the final subset as defects on the specimen and generate results for the defects.

Abstract: An animation generation instruction identifying key frames to use for generating an animation is received. A plurality of tweens corresponding to the animation are obtained, where each tween includes tween objects between a start key frame and an end key frame. One or more timelines are generated when a quantity of tweens is greater than or equal to two, where each timeline corresponds to one or more tweens, and where a quantity of timelines is less than the quantity of tweens. The animation is generated using the plurality of tweens based on the one or more timelines.

Abstract: An animation generation instruction identifying key frames to use for generating an animation is received. A plurality of tweens corresponding to the animation are obtained, where each tween includes tween objects between a start key frame and an end key frame. One or more timelines are generated when a quantity of tweens is greater than or equal to two, where each timeline corresponds to one or more tweens, and where a quantity of timelines is less than the quantity of tweens. The animation is generated using the plurality of tweens based on the one or more timelines.

Abstract: A system, method, and computer program product are provided for identifying fabricated component defects using a local adaptive threshold. In use, images are received for target and reference components of a fabricated device. Additionally, a difference image is generated from the target and reference component images, and defect candidates for the target component are identified from the difference image. Further, for each of the identified defect candidates at a location in the difference image: a threshold is determined based on a local area surrounding the location of the defect candidate, and a signal at the location of the defect candidate is compared to the threshold to determine whether the defect candidate is a defect.

Abstract: A system, method, and computer program product are provided for identifying fabricated component defects using a local adaptive threshold. In use, images are received for target and reference components of a fabricated device. Additionally, a difference image is generated from the target and reference component images, and defect candidates for the target component are identified from the difference image. Further, for each of the identified defect candidates at a location in the difference image: a threshold is determined based on a local area surrounding the location of the defect candidate, and a signal at the location of the defect candidate is compared to the threshold to determine whether the defect candidate is a defect.

Abstract: Systems and methods for detecting defects on a wafer are provided. One method includes generating output for a wafer by scanning the wafer with a dark field inspection system. The method also includes generating first image data for the wafer using the output and a first cell size and second image data for the wafer using the output and a second cell size. In addition, the method includes combining the first image data and the second image data corresponding to substantially the same locations on the wafer thereby creating additional image data for the wafer. The method further includes detecting defects on the wafer using the additional image data.

Abstract: The present invention relates to a chemical toner composition and a method for preparing the same. The chemical toner composition includes: a resin emulsion; a pigment dispersion; a wax dispersion; and a dispersible polymer coagulant, wherein the dispersible polymer coagulant is a copolymer comprising unsaturated ester monomers and amino-containing monomers. Accordingly, the present invention uses a novel dispersible polymer coagulant to prepare uniform toner particles with excellent roundness and improved flowability and to reduce moisture absorption.

Abstract: The present invention relates to a chemical toner composition and a method for preparing the same. The chemical toner composition includes: a resin emulsion; a pigment dispersion; a wax dispersion; and a dispersible polymer coagulant, wherein the dispersible polymer coagulant is a copolymer comprising unsaturated ester monomers and amino-containing monomers. Accordingly, the present invention uses a novel dispersible polymer coagulant to prepare uniform toner particles with excellent roundness and improved flowability and to reduce moisture absorption.

Abstract: Various computer-implemented methods for classifying defects on a specimen are provided. One method includes assigning individual defects detected on the specimen to defect groups based on one or more characteristics of the individual defects. The method also includes displaying information about the defect groups to a user. In addition, the method includes allowing the user to assign a classification to each of the defect groups. Systems configured to classify defects on a specimen are also provided. One system includes program instructions executable on a processor for assigning individual defects detected on the specimen to defect groups based on one or more characteristics of the individual defects. The system also includes a user interface configured for displaying information about the defect groups to a user and allowing the user to assign a classification to each of the defect groups.

Abstract: The present invention relates to a chemical toner composition and a method for preparing the same. The chemical toner composition includes: a resin emulsion; a pigment dispersion; a wax dispersion; and a dispersible polymer coagulant, wherein the dispersible polymer coagulant is a copolymer comprising unsaturated ester monomers and amino-containing monomers. Accordingly, the present invention uses a novel dispersible polymer coagulant to prepare uniform toner particles with excellent roundness and improved flowability and to reduce moisture absorption.

Abstract: A method for constructing a distance histogram for nearest neighbor classification. A training sample is determined for each of two classes. For each defect, a distance is measured in the feature space between the defect and the training sample for each of the classes. All of the distances for a given defect are normalized by dividing each distance for the given defect by the sum of all of the distances for the given defect. A histogram is constructed by plotting a chart of the normalized distances versus the number of defects having the distances. A threshold bar is placed on the center of the histogram to construct a normal nearest neighbor classifier. The threshold bar can be adjusted to the left or to the right to construct a weighted nearest neighbor classifier.