Abstract:
A mechanical structure is provided with a crystalline superelastic alloy that is characterized by an average grain size and that is characterized by a martensitic phase transformation resulting from a mechanical stress input greater than a characteristic first critical stress. A configuration of the superelastic alloy is provided with a geometric structural feature of the alloy that has an extent that is no greater than about 200 micrometers and that is no larger than the average grain size of the alloy. This geometric feature is configured to accept a mechanical stress input.
Abstract:
This disclosure describes techniques for coding 3D video block units. In one example, a video encoder is configured to receive one or more texture components from at least a portion of an image representing a view of three dimensional video data, receive a depth map component for at least the portion of the image, code a block unit indicative of pixels of the one or more texture components for a portion of the image and the depth map component. The coding comprises coding the depth map component relative to at least one of the texture components, and signalling an attribute of the depth map component relative to the one or more texture components.
Abstract:
The example techniques described in this disclosure are generally related to decoded picture buffer management. One or more pictures stored in the decoded picture buffer may be usable for prediction, and others may not. Pictures that are usable for prediction may be referred to as reference pictures. The example techniques described herein may determine whether a reference picture, that is currently indicated to be usable for inter-prediction, should be indicated to be unusable for inter-prediction.
Abstract:
A system for classifying documents in a collection of documents according to their intended readerships includes: a computer configured to select a document in the collection of documents; and a computer to determine a characteristic of the selected document, the characteristic being: misleading when the document includes one or more features that are determined to be for a purpose other than reading the document; commercial when the document includes features that are presented for a commercial purpose; or personal when the document includes features of a personal opinion. A computer classifies the selected document as misleading, commercial, or personal according to its determined characteristic; and a computer repeats the steps of select document, determines a characteristic of the selected document, and classifies the selected document for additional documents in the collection. At least some documents are classified as misleading, some as commercial, and at least some as personal.
Abstract:
A magnesium halide adduct represented by the formula (I): MgX2.mROH.nE.pH2O, in which X is chlorine, bromine, a C1-C12 alkoxy, a C3-C10 cycloalkoxy or a C6-C10 aryloxy, with the proviso that at least one X is chlorine or bromine; R is a C1-C12 alkyl, a C3-C10 cycloalkyl or a C6-C10 aryl; E is an o-alkoxybenzoate compound represented by the formula (II): in which R1 and R2 groups are independently a C1-C12 linear or branched alkyl, a C3-C10 cycloalkyl, a C6-C10 aryl, a C7-C10 alkaryl or an C7-C10 aralkyl, the R1 and R2 groups are identical to or different from the R group; m is in a range of from 1.0 to 5.0; n is in a range of from 0.001 to 0.5; and p is in a range of from 0 to 0.8, is disclosed. A catalyst component useful in olefin polymerization, which comprises a reaction product of (1) the magnesium halide adduct, (2) a titanium compound, and optionally (3) an electron donor compound, is also disclosed.
Abstract:
A method for improving the performance of the BLSkip mode in SVC includes the steps of upsampling the motion field of the base layer, interpolating the motion vectors for the intra MBs, interpolating the 8×8 block motion field to a 4×4 block motion field, and generating a MV predictor for a 4×4 block in BLSkip mode using neighbor candidates.
Abstract:
A method for analyzing predefined subject matter in a patent database being for use with a set of target patents, each target patent related to the predefined subject matter, the method comprising: creating a feature space based on frequently occurring terms found in the set of target patents; creating a partition taxonomy based on a clustered configuration of the feature space; editing the partition taxonomy using domain expertise to produce an edited partition taxonomy; creating a classification taxonomy based on structured features present in the edited partition taxonomy; creating a contingency table by comparing the edited partition taxonomy and the classification taxonomy to provide entries in the contingency table; and identifying all significant relationships in the contingency table to help determine the presence of any white space.
Abstract:
One embodiment is a computer-implemented method for classifying documents in a collection of documents according to their intended readerships. The method comprises using a computer to select a document in the collection of documents; and using a computer to determine a characteristic of the selected document, the characteristic being: misleading when the document includes one or more features that are determined to be for a purpose other than reading the document; commercial when the document includes features that are presented for a commercial purpose; or personal when the document includes features of a personal opinion. The method further includes using a computer to classify the selected document as misleading, commercial, or personal according to its determined characteristic; and using a computer to repeat the steps of select document, determine a characteristic of the selected document, and classify the selected document for additional documents in the collection. At least some documents are classified as misleading, at least some documents are classified as commercial, and at least some documents are classified as personal. Other methods and computer program products are also disclosed according to even more embodiments.
Abstract:
System and methods manage concurrent ETL processes accessing a database. Exemplary embodiments include a method for concurrency management for ETL processes in a database having database tables and communicatively coupled to a computer, the method including establishing a session lock for the database, determining that a current ETL process is accessing the database at a current time, associating a current expiration time with the session lock, the expiration time being stored in a lock table in the database, sending the session lock to the current ETL process and performing ETL-level locking for the current ETL process.
Abstract:
Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e.g., brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.