Abstract: A can redraw and ironing system includes a ram, a punch, and a sensor system. The ram includes a ram body and a ram nose. The punch is supported on the ram nose and is configured to engage a metal blank during an ironing process. The sensor system includes a first sensor that detects a total force on the ram and a second sensor that detects a force on the ram nose.

Abstract: A system and method (referred to as a systems) builds alert packages that deliver messages to end-users analyzes inbound message data and identifies inbound event data objects. The systems store the inbound event data objects that are removed based on assigned priority values from a first multielement data structure. The systems process the inbound event data objects based on the assigned priority values through a cluster of event analyzer engines connected in parallel and identify the inbound event data objects associated with pre-designated notification alerts through a cluster of event analyzer engines connected in parallel. The systems store the inbound event data objects associated with the pre-designated notification alerts within a another instance of the multielement data structure. The system creates alert packages through a cluster of alert builder engines and enables and disable the processors that make up the event analyzer and alert builder engines.

Abstract: A system and method (referred to as a systems) builds alert packages that deliver messages to end-users analyzes inbound message data and identifies inbound event data objects. The systems store the inbound event data objects that are removed based on assigned priority values from a first multielement data structure. The systems process the inbound event data objects based on the assigned priority values through a cluster of event analyzer engines connected in parallel and identify the inbound event data objects associated with pre-designated notification alerts through a cluster of event analyzer engines connected in parallel. The systems store the inbound event data objects associated with the pre-designated notification alerts within a another instance of the multielement data structure. The system creates alert packages through a cluster of alert builder engines and enables and disable the processors that make up the event analyzer and alert builder engines.

Abstract: A system and method (referred to as a systems) builds alert packages that deliver messages to end-users analyzes inbound message data and identifies inbound event data objects. The systems store the inbound event data objects that are removed based on assigned priority values from a first multielement data structure. The systems process the inbound event data objects based on the assigned priority values through a cluster of event analyzer engines connected in parallel and identify the inbound event data objects associated with pre-designated notification alerts through a cluster of event analyzer engines connected in parallel. The systems store the inbound event data objects associated with the pre-designated notification alerts within a another instance of the multielement data structure. The system creates alert packages through a cluster of alert builder engines and enables and disable the processors that make up the event analyzer and alert builder engines.

Abstract: A system and method (referred to as a systems) builds alert packages that deliver messages to end-users analyzes inbound message data and identifies inbound event data objects. The systems store the inbound event data objects that are removed based on assigned priority values from a first multielement data structure. The systems process the inbound event data objects based on the assigned priority values through a cluster of event analyzer engines connected in parallel and identify the inbound event data objects associated with pre-designated notification alerts through a cluster of event analyzer engines connected in parallel. The systems store the inbound event data objects associated with the pre-designated notification alerts within a another instance of the multielement data structure. The system creates alert packages through a cluster of alert builder engines and enables and disable the processors that make up the event analyzer and alert builder engines.

Abstract: Systems and methods are provided for generating a set of classifiers. A term is identified within a document and a pre-defined threshold distance is determined. A plurality of additional terms in the document are identified, the additional terms being located within the pre-defined threshold distance of the time. A distance between the term and an additional term of the plurality of additional terms is calculated. A corresponding weight for the calculated distance is determined using a proximity weighting scheme. A score for the additional term is calculated using the calculated distance and the corresponding weight. A colocation matrix is generated and a classifier determined using the colocation matrix.

Abstract: Provided herein is a high-speed blow forming process for shaping aluminum containers using 3xxx can body stock alloys with high recycled content, as well as articles made by that process. A process for shaping aluminum containers as described herein includes the sequential steps of blanking out a disk from a sheet of a 3xxx series aluminum alloy; forming a bottle preform by drawing redrawing, ironing and doming the disk, placing the preform into a mold cavity, applying an axial load to the preform; and injecting an inert gas into the interior of the preform with sufficient pressure until the preform expands to fill the mold cavity.

Abstract: Systems and methods are provided for generating a set of classifiers. A term is identified within a document and a pre-defined threshold distance is determined. A plurality of additional terms in the document are identified, the additional terms being located within the pre-defined threshold distance of the time. A distance between the term and an additional term of the plurality of additional terms is calculated. A corresponding weight for the calculated distance is determined using a proximity weighting scheme. A score for the additional term is calculated using the calculated distance and the corresponding weight. A colocation matrix is generated and a classifier determined using the colocation matrix.

Abstract: Systems and methods are provided for generating a set of classifiers. A location is determined for each instance of a topic term in a collection of documents. One or more topic term phrases are identified, and one or more sentiment terms within each topic term phrase. Candidate classifiers are identified by parsing words in the one or more topic term phrases, and a colocation matrix is generated. A seed row of the colocation associated with a particular attribute is identified, and distance metrics are determined by comparing each row of the colocation matrix to the seed row. A set of classifiers are generated for the particular attribute, where classifiers in the set of classifiers are selected using the distance metrics.

Abstract: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated.

Abstract: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated.

Abstract: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated. A probability density function may be generated from the call distribution and used in the generation of the advertisement distribution plan.

Abstract: Systems and methods are provided for generating a set of classifiers. A location is determined for each instance of a topic term in a collection of documents. One or more topic term phrases are identified, and one or more sentiment terms within each topic term phrase. Candidate classifiers are identified by parsing words in the one or more topic term phrases, and a colocation matrix is generated. A seed row of the colocation associated with a particular attribute is identified, and distance metrics are determined by comparing each row of the colocation matrix to the seed row. A set of classifiers are generated for the particular attribute, where classifiers in the set of classifiers are selected using the distance metrics.

Abstract: In accordance with the teachings described herein, systems and methods are provided for optimizing distribution of advertisement information. In one example, call tracking data may be generated from a plurality of telephone calls made to a business entity, where the call tracking data includes geographical information to identify locations from which the plurality of telephone calls originated. A call distribution may be determined from the call tracking data, where the call distribution groups the call tracking data based at least in part on distances between the business entity and the locations from which the plurality of telephone calls originated. A probability density function may be generated from the call distribution and used in the generation of the advertisement distribution plan.

Abstract: A method of making an electrically-operated fluid valve for improving the metal-to-metal sealing of the valve needle to the valve seat, particularly of the rounded tip end of the needle to a frusto-conical depression in the seat. The method comprises applying a controlled axial compressive load to the seated needle to cause the annular zone of sealing contact between the needle and the seat to be coined.

Abstract: A holder is described for temporarily mounting a ski on a work surface for permitting the ski to be tuned or otherwise routinely maintained by filing the ski edges and bottoms and for coating the ski bottoms etc. Each holder has a threaded clamp for mounting it on a work table or other convenient surface and has a pivotally mounted vacuum ski engaging device at its top for removably engaging the ski. Two of these holders firmly position a ski on the work surface for the ski tuning operation.