Abstract: A refrigeration appliance includes an insulated cabinet forming an interior cavity and a refrigeration system for cooling the interior cavity. A thermally conductive shelf forms a support surface within the interior cavity, and a thermal sink is operatively coupled to the conductive shelf. The thermal sink is adapted to facilitate the transfer of thermal energy from the thermally conductive shelf. In one example, the thermal sink includes a plurality of thermal sinks operatively coupled to the conductive shelf. In another example, the thermal sink is removable from the interior cavity.

Abstract: An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.

Abstract: The invention concerns a copper-based circuit having an electrically insulative substrate, a bond layer including silver formed over select portions of the substrate according to a desired shape of the circuit, and an electrically conductive layer including plastically deformed particles of copper deposited on the bond layer.

Abstract: A method and apparatus is disclosed that receives an input narrative in a particular media format, and produces therefrom a multimedia enriched version of the input narrative. In one embodiment, a method is provided for enriching an input narrative with multimedia content, wherein the method includes the step of selectively segmenting the input narrative to form queries pertaining to different portions or elements of the input narrative. The method further comprises retrieving multimedia artifacts from one or more multimedia repositories, wherein each retrieved multimedia artifact is associated with one of the queries, and selecting a subset of the retrieved multimedia artifacts, wherein the subset includes artifacts comprising different types of multimedia content. The input narrative is then combined with respective multimedia artifacts of the subset, in order to provide an enriched and enhanced narrative.

Abstract: Interoperability is enabled between participants in a network by determining values associated with a value metric defined for at least a portion of the network. Information flow is directed between two or more of the participants based at least in part on semantic models corresponding to the participants and on the values associated with the value metric. The semantic models may define interactions between the participants and define at least a portion of information produced or consumed by the participants. The determination of the values and the direction of the information flow may be performed multiple times in order to modify the one or more value metrics. The direction of information flow may allow participants to be deleted from the network, may allow participants to be added to the network, or may allow behavior of the participants to be modified.

Abstract: A method, system and computer program for adaptively processing a query search. An expanding operation is utilized to expand the query into sub-queries, wherein at least one of the sub-queries is expanded probabilistically. A retrieving operation retrieves the results of the sub-queries, and a merging operation is used to merge the sub-query results into a search result. An adapting operation is configured to modify the search such that the relevance of the search result is increased when the search is repeated.

Abstract: An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.

Abstract: Techniques are provided for enabling execution of a process employing a cache Method steps can include obtaining a first probability of accessing a given artifact in a state Si, obtaining a second probability of using a predicate from a current state Sc in the state Si, determining a benefit of prefetching the given artifact using the predicate based on at least the first probability and the second probability, and whether and/or when a cache replacement should be conducted, based at least on the benefit determined.

Abstract: The method and system uses the component business model as a framework for locating business activities. Business value drivers are identified, related in an influence model, and structured into a prioritized driver tree. The driver tree is used to determine the relative contributions of leaf drivers to the overall value of the business. Business activities contributing to the leaf drivers are then identified, and the relative contributions of the leaf drivers are allocated to the business activities and then rolled up to the components for display as a heat map overlay on a component map.

Abstract: A method and system are described for using the structure and relationships between components in a component business model of an enterprise to assign components providing monitoring data to a management component. In response to the monitoring data, the management component executes a business rule invoking a service that alters a behavior of the enterprise. The management component contains data rules limiting the information provided by the assigned components, analysis rules defining the interaction between components, and report rules for consolidating recommendations for altering behavior of the enterprise, including decisions to invest in certain aspects of the business, to reengineer certain processes of the business, and to alter operation of certain aspects of the business.

Abstract: A system and method are described for using a Component Business Model (CBM) to transform a business. A CBM map is used to identify components that collaborate to provide a specified capability, and a repository supporting the CBM map is filtered to provide a view of the identified components that highlights how they collaborate. The view is used to identify component features contributing to the specified capability. The specified capability is then enhanced by a transformation strategy that includes re-engineering particular components, identifying a pattern characterizing the collaboration between components and adding a component to perform the collaborative pattern, and/or adding an additional feature to the collaboration and adding component to perform the additional feature. The CBM repository provides exemplar best practices that can be adapted for use in a re-engineered component.

Abstract: A torque sensor based on the Villari effect. The sensor uses high frequency alternating magnetic fields and the Villari effect to determine the state of stress/strain inside a magnetostrictive shaft for the purpose of measuring torque. The invention teaches design elements for the sensor and shaft; namely, the desirable magnetic, electric and structural properties for various elements of the sensor.

Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

Abstract: An embodiment of the present invention relates to the combining of multiple semantic analyses of audio-visual data in order to resolve a higher fidelity description of the semantic content and more specifically to a method for applying semantic concept detection over multiple related audio-video sources, scoring the sources on the basis of presence or absence of specific semantics and aggregating the scores using combination functions to achieve a semantic super-resolution.

Abstract: A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained.

Abstract: A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained.

Abstract: A feeder apparatus supplies a powder feedstock to a high or low pressure processing operation. The apparatus includes a metering plate defining an annular channel having a channel width. A measuring mechanism dispenses a measured volume of the feedstock into the annular channel. The measuring mechanism includes a pay-out device defining an outlet significantly smaller than the channel width. The measuring mechanism further includes a maximum fill level defining a maximum pressure head in the feedstock less than a retaining pressure defined by the internal friction of the feedstock. The restraining pressure prevents the feedstock from spreading outwardly in the annular channel and contacting sidewalls of the annular channel under the pressure head of the feedstock. The apparatus further includes a pick-up device for removing the feedstock from the annular channel. The pick-up device includes an inlet having a rectangular shape extending across the annular channel.

Abstract: An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.