Abstract: A method and system for automatically generating a data determining result includes an acquisition end sending a data acquisition module to a plurality of user terminals, and sending the first data fed back by the user terminals on the data acquisition module to an analysis end. The analysis end generates a display manner of the data determination result on the basis of a configuration condition. The display manner includes analysis items, a first operation logic for determining analysis values of the analysis items and/or a second operation logic for determining cross analysis values of different analysis items. The analysis end determines the analysis value of the analysis items and/or the cross analysis value of the different analysis items in the display manner from the first data, and generates a data determination result.

Abstract: The subject technology receives, from a document object model, a set of nodes of a web page, each node corresponding to an element of the web page. The subject technology determines, using an intersection observer, a position and visibility of a set of first elements within a viewport of the web page. The subject technology determines, using a mutation observer, a set of new elements within the viewport that was previously hidden and now visible. The subject technology provides a set of visible elements, based at least in part on the set of new elements and the set of first element, as elements that have been seen by a user during a session. The subject technology generates an index based at least in part on the set of visible elements, the index comprising information corresponding to text that was visible to the user during the session.

Abstract: Systems, method sand computer readable medium are provided for proving real-time Self Optimizing Network (SON) Virtual Network Function (VRF) included as part of the HNG. In one embodiment data from connected devices is forwarded to the HNG; the data is organized into virtualized containers; and the data is processed by agile analytics and results are displayed to a user.

Abstract: A method for configuring an observable object as a digital twin in a digital twin system of any one domain is provided. The method for configuring a digital twin includes defining a purpose for expressing the observable as a digital twin in the domain, organizing data based on a role of the observable object in the domain, configuring the observable object into the digital twin based on the data for the purpose, and synchronizing the observable object and the digital twin.

Abstract: In an exemplary implementation, systems, devices and methods for generating a common data engineering framework include receiving source data having one or more formats from an external source, analyzing the source data, generating a data dictionary having a mapping of data elements of the source data based on the analysis of the source data, generating and storing in memory a configuration file having the data dictionary, and generating and storing in the configuration file a data model logically organizing the data from the data dictionary in a common format.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

Abstract: Techniques are disclosed relating to increasing the amount of training data available to machine learning algorithms. A computer system may access an initial set of training data that specifies a plurality of sequences, each of which may define a set of data values. The computer system may amplify the initial set of training data to create a revised set of training data. The amplifying may include identifying sub-sequences of data values in ones of the plurality of sequences in the initial set of training data and using an inheritance algorithm to create a set of additional sequences of data values, where each one of the set of additional sequences may include sub-sequences of data values from at least two different sequences in the initial set of training data. The computer system may process the set of additional sequences using the machine learning algorithm to train a machine learning model.

Abstract: A method for capturing a screen includes obtaining a display device list. The display device list at least includes a physical display device and a first category of virtual display device. It is identified whether a value of a flag bit of the first category of virtual display device is a preset value. In response to the value of the flag bit of the first category of virtual display device being the preset value, a video merging result of the physical display device as the screen capturing result.

Abstract: The present invention provides a vehicle control apparatus, a vehicle control method, and a vehicle control system capable of improving reliability of road recognition.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining a query statement; parsing the query statement and determining from the parsing that the query statement is a compound predicate query statement that includes a first predicate and a second predicate; responsively to the parsing, rewriting the obtained query statement to provide a transformed query statement, wherein the rewriting includes (a) specifying generating of a temporary table, wherein the specified generating uses data values of the first predicate and (b) specifying a join function that uses the temporary table and a table referenced in the query statement; evaluating a candidate access path associated to the transformed query statement; selecting the candidate access path as an access path for execution; and executing the transformed query statement according to the selected candidate access path for execution.

Abstract: In general, embodiments of the technology relate to a method and system for implementing external content type (ECT) object types in a content management system (CMS). More specifically, embodiments of the technology relate to augmenting the object model with a new class of object type—an external content type (ECT) object type. The ECT object types are a class of object types that are used to manage object (referred to as managed external objects) that are located in external data systems.

Abstract: A user interface displays: a first column comprising non-editable input strings retrieved from a data field; a second column comprising editable output strings initialized from the data field; and an expression window displaying a transformation function ƒ. The computer iteratively processes user inputs, each user input i providing a sample row transformation to edit an ith output string ti. Some user inputs i designate a contiguous substring ssi of the corresponding input string si. The contiguous substring expresses a causal basis for transforming the input string si. into the output string ti. The computer updates the transformation function ƒ according to the provided sample row transformations so that: ƒ(s1)=t1, . . . , ƒ(si)=ti; the transformation function ƒ specifies text or string position of at least one contiguous substring; and ƒ has minimal branching among possible transformation functions that satisfy the samples.

Abstract: A system for identifying items based on aggregated metadata obtains images of an item. The system extracts a set of features from images of the item. The system identifies a first value of a first feature associated with a first image of the item. The system identifies a second value of the first feature associated with a second image of the item. The system aggregates the first value and the second value. The system associates the item to the aggregated first value and the second value, where the aggregated first value and the second value represent the first feature of the item. The system adds a new entry for each image of the item to a training dataset associated with an item identification model.

Abstract: An illustrative embodiment disclosed herein is a computer-implemented method. In some embodiments, the method includes uploading, by a processor, an object to a source bucket in an object store and creating, by the processor, a lambda bucket in the object store that is symlinked to the source bucket. In some embodiments, the lambda bucket is associated with a transformation function. In some embodiments, the method includes associating, by the processor, a lambda function with the object in the source bucket, receiving, by the processor, a request to download the object from the lambda bucket, detecting, by the processor, that the object is in the source bucket and associated with the lambda function, fetching, by the processor, the object from the source bucket, generating, by the processor, a transformed object by invoking the lambda function and the transformation function on the object, and downloading, by the processor, the transformed object.

Abstract: A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: Methods and systems for performing a sequence of machine learning tasks. One system includes a sequence of deep neural networks (DNNs), including: a first DNN corresponding to a first machine learning task, wherein the first DNN comprises a first plurality of indexed layers, and each layer in the first plurality of indexed layers is configured to receive a respective layer input and process the layer input to generate a respective layer output; and one or more subsequent DNNs corresponding to one or more respective machine learning tasks, wherein each subsequent DNN comprises a respective plurality of indexed layers, and each layer in a respective plurality of indexed layers with index greater than one receives input from a preceding layer of the respective subsequent DNN, and one or more preceding layers of respective preceding DNNs, wherein a preceding layer is a layer whose index is one less than the current index.

Abstract: Disclosed is a social networking system which provides personal pages for users and enables other users to modify the personal page of a given user. Generally, a given webpage is enabled to be collaboratively modified and edited by multiple users. In some embodiments, the owner of the personal page approves the trusted users and may define one or more rules that automatically define a trusted user. In some embodiments, rules for modifying/editing a social webpage may specify the type of operations users can perform on the page and may specify one or more potential target actions.

Abstract: An automated method for search and generation of relevant search results includes: receiving both discrete parameters and freeform search characters input by a user; simultaneously searching a first freeform entry source and a second freeform entry source to obtain corresponding first and second suggested freeform entries; ranking the first suggested freeform entries according to first rules of relevancy to the user, and generating first ranked suggested freeform entries; ranking the second suggested freeform entries according to second rules of relevancy to the user, and generating second ranked suggested freeform entries; combining the first and second ranked freeform entries into a combined set of suggested freeform entries, and ranking the combined set of suggested freeform entries according to combined rules of relevancy to the user, and generating combined ranked suggested freeform entries; and transmitting the combined ranked suggested freeform entries to the user for selection of a desired type ahead

Abstract: Techniques for schema mismatch detection and evolution are described. When data is being uploaded into a source table, schema of the data to be uploaded can be compared with the schema for the source table. If a schema mismatch is detected, the schema of the source table can be modified, and the upload can be continued without data loss.

Abstract: Aspects of the present disclosure relate to converting between structured and tabular data formats. Data can be received in a tabular format. An array can be built for each of a plurality of objects within the data in the tabular format, each object corresponding to at least one identified header of the identified headers. A data row can be parsed using at least one of the built arrays and data within the data row can be added to the structured format in a specific location based characteristics indicated in the at least one array. Data can also be converted from the structured format into the tabular format using the built arrays.

Abstract: The system receives a request associated with a database including a query and a type associated with the database. The request is expressed in a language not native to the database. The query includes a command in the language not native to the database. The type associated with the database can include an in-memory database, a NoSQL database, or a relational database. Based on the type associated with the database, the system can create a corresponding command native to the database by translating the query to the corresponding command native to the database. The system can connect to the database, execute the corresponding command native to the database, and receive an output of the corresponding command native to the database. The system can translate the output of the corresponding command native to the database into the language not native to the database and provide the translated output to the user.

Abstract: A vehicle data management device includes a data acquisition unit and a data conversion unit. The data acquisition unit is configured to acquire, from each of a plurality of in-vehicle devices mounted on a corresponding vehicle of a plurality of vehicles, a vehicle identification information that is set based on at least a model of the vehicle, and a first data that is contained in a communication frame and is indicative of a vehicle information. The data conversion unit is configured to convert the first data into a label and a second data based on a conversion map that contains a label identification information for identifying the label corresponding to the first data, and a conversion information for converting the first data into the second data. The conversion map contains at least one label identification information and at least one conversion information for each vehicle identification information.

Abstract: A method for an interpreter framework is described. The method includes an interpreter module of a computing system receiving a first data file that includes multiple data sections. The interpreter module identifies each of the data sections of the first data file. Each data section includes data representing a real-world entity. For each respective data section of the first data file, the interpreter module parses information about the real-world entity represented by the data included in the data section. The interpreter module generates a second data file based on the parsed information for each of the data sections. The second data file includes encoded data for rendering a digital geographic structure using information about the real-world entity.

Abstract: The present invention relates to execution optimization of database queries. Herein are techniques for optimal execution based on query interpretation by translation to a domain specific language (DSL), with optimizations such as partial evaluation, abstract syntax tree (AST) rewriting, just in time (JIT) compilation, dynamic profiling, speculative logic, and Futamura projection. In an embodiment, a database management system (DBMS) that is hosted on a computer generates a query tree that represents a database query that contains an expression that is represented by a subtree of the query tree. The DBMS generates a sequence of DSL instructions that represents the subtree. The sequence of DSL instructions is executed to evaluate the expression during execution of the database query. In an embodiment, an AST is generated from the sequence of DSL instructions. In an embodiment, the DSL AST is optimally rewritten based on a runtime feedback loop that includes dynamic profiling information.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care by providing discovery, validation, and quality assurance of nomenclatural linkages between pairs of terms or combinations of terms in databases extant on multiple different health information systems that do not share a set of unified codesets, nomenclatures, or ontologies, or that may in part rely upon unstructured free-text narrative content instead of codes or standardized tags. Embodiments discover semantic structures existing naturally in documents and records, including relationships of synonymy and polysemy between terms arising from disparate processes, and maintained by different information systems. In some embodiments, this process is facilitated by applying Latent Semantic Analysis in concert with decision-tree induction and similarity metrics.

Abstract: The present disclosure provides methods and systems for performing licence plate matching. A reference list comprising licence plate identifiers is obtained. At least one transformation rule is applied to the licence plate identifiers of the reference list to generate entries forming at least one augmented reference list, and storing the at least one augmented reference list in at least one database. A search request comprising an input licence plate identifier is obtained. The at least one transformation rule is applied to the input licence plate identifier to generate a search list comprising at least one search term. The at least one database is queried with the search list to identify a match between at least one of the entries of the at least one augmented reference list and the at least one search term of the search list. A signal responsive is output to identifying the match.

Abstract: A memory sub-system performs a first media management operation among a plurality of individual data units of a memory device after a first interval, the first media management operation comprising a first algebraic mapping function, and performs a second media management operation among a first plurality of groups of data units of the memory device after a second interval, wherein a first group of the first plurality of groups comprises the plurality of individual data units, the second media management operation comprising a second algebraic mapping function.

Abstract: The present disclosure provides an experimentation framework for a computational environment in a distributed system. A machine-learning model may be created that predicts at least one output produced by the computational environment based on at least one input provided to the computational environment. During an evaluation time period that is subsequent to at least one modification being made to the computational environment, at least one modified output produced by the computational environment may be determined. The machine-learning model may be used to calculate at least one predicted output that would have been produced by the computational environment during the evaluation time period if the at least one modification had not been made. A determination may also be made about how the at least one modification affected the computational environment based on a comparison of the at least one modified output and the at least one predicted output.

Abstract: The invention provides a neural network quantization method and device and a related product. The neural network quantization method is used for quantizing data of a computation layer of a neural network. The technical scheme provided by the invention has the advantage of low cost.

Abstract: Systems and methods herein describe accessing a data processing pipeline, causing presentation of the data processing pipeline on a graphical user interface of a computing device; receiving a selection of a first user interface element within the graphical user interface, generating a datafile representing the data processing pipeline, submitting the datafile and an application to a software framework using an application programming interface, receiving, from the application, the generated datasets, applying the data operations the data processing pipeline, collecting performance data metrics from the data processing pipeline, and dynamically updating the graphical user interface with the collected performance data metrics.

Abstract: The present disclosure relates to a new method for cross-modal retrieval via deep binary hashing and quantization. In a training phase, the system simultaneously learns to generate feature vectors, binary codes, and quantization codes for data across two or more modalities that preserves the semantic similarity correlations in the original data. In a prediction phase, the system retrieve a data item in a database that is semantically similar to a query item of a different modality. To identify the database item closest in semantic meaning to the query item, the system first narrows the database search space based on binary hash code distances between each of the database items and the query item. The system then measures the quantization distances between the query items and the database items in the smaller search space. The system identifies database item have the closest quantization distance to the query item as the closest semantic match to the query item.

Abstract: An online system trains machine learning models that, when applied to gathered sensor data, determines personal characteristics (e.g., age, gender, height) of an individual in a non-intrusive manner. Specifically, the online system trains a first machine learning model that analyzes sensor data gathered from a client device associated with the individual. The first machine learning model determines whether a trigger event, such as whether the individual is walking, is currently occurring. A second machine learning model trained by the online system analyzes sensor data corresponding to the trigger event to identify the personal characteristics of the walking individual.

Abstract: Techniques for schema mismatch detection and evolution are described. When data is being uploaded into a source table, schema of the data to be uploaded can be compared with the schema for the source table. If a schema mismatch is detected, the schema of the source table can be modified, and the upload can be continued without data loss.

Abstract: A method including bit-operation and sub-code/substring filtering for image searching using a full-text search engine. The method can include determining a first binary vector comprising first binary substrings for a first image. The method also can include obtaining a respective second binary vector comprising second binary substrings for each of second images from a database. The method additionally can include determining a respective substring distance for each of the binary substring for each of the second images. The respective substring distance can be between at least a pair of a first binary substring of the first binary substrings of the first binary vector and a respective corresponding second binary substring of the second binary substrings of the respective second binary vector for each of the second images.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.

Abstract: A method including receiving a feature vector of an unknown sample, computing a MinHash of the unknown sample based on Jaccard-compatible features, querying a Locality Sensitive Hashing forest of known samples with the MinHash of the unknown sample to identify a first subset of known samples that are similar to the unknown sample, receiving for each individual known sample in the first subset, a feature vector including non-Jaccard distance-compatible features, computing a first sub-distance and a second sub-distance between the unknown sample and the known samples in the first subset, calculating a total distance for each known sample in the first subset by combining the first and the second sub-distances, identifying, based on the calculated total distances, a second subset of known samples that are most similar to the unknown sample, and classifying the unknown sample based on the second subset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: A system and method for the estimation of the cardinality of large sets of transaction trace data is disclosed. The estimation is based on HyperLogLog data sketches that are capable to store cardinality relevant data of large sets with low and fixed memory requirements. The disclosure contains improvements to the known analysis methods for HyperLogLog data sketches that provide improved relative error behavior by eliminating a cardinality range dependent bias of the relative error. A new analysis method for HyperLogLog data structures is shown that uses maximum likelihood analysis methods on a Poisson based approximated probability model. In addition, a variant of the new analysis model is disclosed that uses multiple HyperLogLog data structured to directly provide estimation results for set operations like intersections or relative complement directly from the HyperLogLog input data.

Abstract: A system for document extraction and targeted dissection, the system comprising: a memory device; a communication device; and a processing device configured to: receive a first document via communication channel over the network; extract user information from a first data field of the first document, wherein the first data field has a first data type and a first data format; store the user information and the first document in a document database; identify a second document comprising a second data field, wherein the second data field has the first data type; populate, automatically, the second data field of the second document with the extracted user information; display the second document in an electronic presentation via a user interface of a user device; and augment the electronic presentation of the second document in the user interface with supplemental data associated with the second document.

Abstract: A method, a device, and a non-transitory storage medium are described in which a network performance optimization service is provided. A load balancer device may receive, from an end device, an application service request for an application service that is available from multiple server devices of an application layer network. The load balancer device may determine, from a source identifier associated with the end device and obtained from the application service request, that the source identifier does not map to a network traffic forwarding rule of a set of stored network traffic forwarding rules. In response, the load balancer device may map the source identifier to an application service profile of a set of stored application service profiles; select, based on the application service profile, a first server device of the multiple server devices and establish the first server device to be the destination of the application service request.

Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.

Abstract: The present invention discloses a method and control system for monitoring plurality of equipment in industrial plant connected over SNMP based network. Each of plurality of equipment is associated with a server which is communicatively connected with client. One or more equipment which are capable of reporting monitoring objects are identified using a configuration file. Further, polling for monitoring objects based on capability data associated with one or more equipment is performed. Secure configuration of plurality of equipment in SNMP based network is achieved. Management of network traffic is performed. Unauthorized extraction of monitoring objects is reduced in the network.

Abstract: System, device, and method for generating and utilizing content-aware metadata, particularly for playback of video and other content items. A method includes: receiving a video file, and receiving content-aware metadata about visual objects that are depicted in said video file; and dynamically adjusting or modifying playback of that video file, on a video playback device, based on the content-aware metadata. The modifications include content-aware cropping, summarizing, watermarking, overlaying of other content elements, modifying playback speed, adding user-selectable indicators or areas around or near visual objects to cause a pre-defined action upon user selection, or other adjustments or modification. Optionally, a modified and content-aware version of the video file is automatically generated or stored. Optionally, the content-aware metadata is stored internally or integrally within the video file, in its header or as a private channel; or is stored in an accompanying file.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

Abstract: Embodiments of the present application provide a video recording method and device. The method includes: receiving, by an application of a mobile terminal, a video recording instruction of a user; generating, according to a photographing scene, a video stream that can be edited according to segments, the video stream including at least one frame sequence segment; and uploading the edited video stream to a server. According to the present application, by generating a video stream consisting of at least one frame sequence segment during video recording, where the generated video stream can be edited according to segments, the error tolerance of video capture is improved, and the costs of later video editing are reduced.