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89 results about "Object graph" patented technology

In computer science, in an object-oriented program, groups of objects form a network through their relationships with each other—either through a direct reference to another object or through a chain of intermediate references. These groups of objects are referred to as object graphs.

Transformer excitation inrush current and fault differential current recognition method based on Hausdorff distance algorithm

The invention provides a transformer excitation inrush current and fault differential current recognition method based on a Hausdorff distance algorithm. The transformer excitation inrush current and fault differential current recognition method comprises the steps of: acquiring secondary currents of current transformers at two differential protection sides of a transformer on each cyclic wave N point, and form a differential current signal sequence I; judging whether a value of the differential current signal sequence I exceeds a setting valve of a differential protection starting component, and starting a criterion disclosed by the invention for distinguishing a fault differential current and an excitation inrush current if the value exceeds the setting value differential protection starting component; judging and acquiring an extreme value of the differential current signal sequence I by adopting a 1/4 cyclic wave data window, regarding a differential sequence A after per-unit treatment as an edge feature point of a Hausdorff distance algorithm object graph, regarding a standard sine sequence B with amplitude being 1 as an edge feature point of a Hausdorff distance algorithm template graph, comparing an Hi value with a set Hausdorff distance threshold value Hset, and conducting protection action if the Hi value is less than the threshold value; and blocking protection if the Hi value is greater than the threshold value. The transformer excitation inrush current and fault differential current recognition method is used for directly judging difference of waveform pattern overall features of inrush currents including symmetric inrush currents, and ensures correct action of transformer differential protection.
Owner:CHINA THREE GORGES UNIV

Method and system for syncing data structures

ActiveUS20160055226A1Powerful and versatile and flexible representation of dataLoss of resourceDigital data information retrievalDigital data processing detailsOperational transformationObject graph
The consistency of a data structure is maintained where changes in the form of atomic operations are requested by more than one user to an object graph containing a plurality of objects. Operational transformations specifying how one atomic operation is transformed against another one are accessed and the object graph is modified with the first and second set of changes by employing the operational transformations on the atomic operations and applying the resulting transformed operations to the object graph. The transformed operations are recorded in a history log. The atomic operations are object operations that create or delete an object of the object graph and / or property operations changing a property of an object. Each operation retains the identifier of the object it acts on and information on each change of the object resulting from the operation. Multi-operation conflicts are resolved by defined conflict resolution events.
Owner:PROJECTWIZARDS

Text visual question-answering system and method based on concept interaction and associated semantics

The invention provides a text visual question-answering system and method based on concept interaction and associated semantics. The system comprises an object position extraction module, a first fullconnection layer, a text information extraction module, a second full connection layer, an OCR-object graph convolutional network, a multi-gate-step mechanism graph convolutional network, a converternetwork and a bidirectional converter representation encoder BERT. According to the invention, modeling is carried out by using a position relationship between an object and text information in an image, then modeling is performed on text information and object information through the OCR-object graph convolutional network, thus learning abundant and directional features for relationship coding through a gate mechanism, and finally, precisely paying attention to objects and texts in an image through a converter network, thereby obtaining a more accurate answer.
Owner:GUIZHOU UNIV +1
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