Abstract: A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

Abstract: The instant disclosure is directed towards methods of treating wastewater and related systems, where the system includes: a first zone comprising at least one anaerobic tank, and a second zone comprising at least one engineered wetland. In some embodiments, the system includes a third zone comprising at least one bauxite residue cell.

Abstract: A discrepancy detection system for detecting a discrepancy between a plurality of video images of a same scene captured by an imaging device at different times, the system including a correspondence point detection device configured to detect corresponding points matching each other between a first video image sequence of the plurality of video images and a second video image sequence of the plurality of video images and a comparison device configured to compare image content of the first video image sequence and the second video image sequence for the discrepancy in the image content between the first video image sequence and the second video image sequence.

Abstract: A compression system for compressing a video received from an imaging device, the compression system including a transformation estimation device configured to estimate, based on pixel transformations between a first frame and a second frame of the video, a transformation matrix, an encoding device configured to encode the second frame as an increment with the first frame based on the transformation matrix generated by the transformation device, a compression device configured to compress the increments into compressed data, and a reconstruction device configured to reconstruct the first frame and the second frame using the transformation matrix generated by the transformation estimation device

Abstract: A method and a system of stitching a plurality of views of a scene, the method including extracting points of interest in each view to include a point set from each of the plurality of image views of the scene, matching the points of interest and reducing an outlier, grouping the matched points of interest in a plurality of groups, determining a similarity transformation with a smallest rotation angle for each grouping of the match points, generating virtual matching points on a non-overlapping area of the plurality of image views, generating virtual matching points on an overlapping area for each of the plurality of image views, and calculating piecewise projective transformations for the plurality of image views.

Abstract: An ultra-broadband coherent radar transponder for precision tracking, and in particular a transponder arrangement having an antenna, receiver, control logic, delay, and transmitter components arranged to coherently amplify, delay and repeat back a reference signal to be utilized by a microwave radar system for high fidelity tracking.

Abstract: A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

Abstract: A method and systems are provided. A system includes a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The system further includes a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user.

Abstract: Generally, the instant disclosure relates to fertilizer compositions and methods of making and using the same. More specifically, the instant disclosure relates to blast suppressant and/or blast resistant ammonium nitrate fertilizer compositions, as well as methods of making and using the same.

Abstract: A method and a system of stitching a plurality of views of a scene, the method including extracting points of interest in each view to include a point set from each of the plurality of image views of the scene, matching the points of interest and reducing an outlier, grouping the matched points of interest in a plurality of groups, determining a similarity transformation with a smallest rotation angle for each grouping of the match points, generating virtual matching points on a non-overlapping area of the plurality of image views, generating virtual matching points on an overlapping area for each of the plurality of image views, and calculating piecewise projective transformations for the plurality of image views.

Abstract: A method for designing a main body of a trailer, trailer chassis, or like transportable load-supporting system includes selecting a known design of a transportable load-supporting system's main frame. The method includes developing a monocoque main beam having moments of inertia that are respectively greater than or substantially equal to the moments of inertia of the known main frame. Deflections of the known main frame and of the monocoque main beam in response to application of a torsional load, a vertical load, and a lateral load are then determined. Cross-members can be added to the monocoque main beam until the deflection of the monocoque main beam is less than or substantially the same as the deflection of the known main frame. A monocoque main beam designed according to the method is also disclosed.

Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

Abstract: A method and systems are provided. The method includes recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user. The method further includes performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The method also includes combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores, to infer a gender of a user.

Abstract: Methods for removing sulfur dioxide from a gas stream are disclosed. A method may include passing a gas stream comprising SO2 through a gas scrubbing apparatus. A scrubbing liquor comprising hydroxide ions and at least one oxidation catalyst may be flowed into the gas scrubbing apparatus, thereby contacting the gas stream with the scrubbing liquor. In response to the contacting, at least 90 wt. % of the sulfur dioxide may be removed from the gas stream. Concomitant to the contacting, at least some of the sulfur dioxide may react with at least some of the hydroxide ions, thereby forming sulfite ions in the scrubbing liquor. Some of the sulfite ions may be oxidized, via the oxidation catalyst, thereby forming sulfate ions in the scrubbing liquor. A used scrubbing liquor may be discharged from the scrubbing apparatus.

Abstract: A system, method and computer program product for relating corresponding points in images with an overlapping scene. An example method includes generating transformed images of a target image using different image transformations for each of transformed images. Texture descriptors are extracted for feature points in the transformed images and a reference image. Matched feature points are identified and inliers from matched feature points are selected. An aligning transformation is generated using the inliers for at least one of the transformed images. A panorama image is created with the target image and reference image after the images are aligned.

Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting an image containing a target object into multiple regions; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on information associated with the multiple segmented regions; and applying the similarity metric to the image to identify two or more of the multiple segmented regions as being portions of the target object.

Abstract: Methods for removing sulfur dioxide front a gas stream are disclosed. A method may include passing a gas stream comprising SO2 through a gas scrubbing apparatus. A scrubbing liquor comprising hydroxide ions and at least one oxidation catalyst may be flowed into the gas scrubbing apparatus, thereby contacting the gas stream with the scrubbing liquor. In response to the contacting, at least 90 wt. % of the sulfur dioxide may be removed from the gas stream. Concomitant to the contacting, at least some of the sulfur dioxide may react with at least some of the hydroxide ions, thereby forming sulfite ions in the scrubbing liquor. Some of the sulfite ions may be oxidized, via the oxidation catalyst, thereby forming sulfate ions in the scrubbing liquor. A used scrubbing liquor may be discharged from the scrubbing apparatus.

Abstract: The instant disclosure is directed towards methods of treating wastewater and related systems, where the system includes: a first zone comprising at least one anaerobic tank, and a second zone comprising at least one engineered wetland. In some embodiments, the system includes a third zone comprising at least one bauxite residue cell.

Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting a static image containing a target object into multiple regions based on one or more visual features of the static image; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on motion information associated with each of the multiple segmented regions; and applying the similarity metric to the static image to identify two or more of the multiple segmented regions as being portions of the target object.