45th week of 2020 patent applcation highlights part 43 |
Patent application number | Title | Published |
20200349156 | DYNAMICALLY NORMALIZING INTERVALS IN A TABLE - Dynamically normalizing intervals in a table including receiving, from a client computing system, a request to normalize intervals for a data set on a cloud-based data warehouse, wherein the request comprises a reference to the data set and a data range; generating, on the cloud-based data warehouse, an interval table using the data range; joining, into a joined table on the cloud-based data warehouse, the interval table and the data set; receiving the joined table from the cloud-based data warehouse; and presenting, via a graphical user interface on the client computing system, the joined table as a worksheet. | 2020-11-05 |
20200349157 | METHODS AND SYSTEMS THAT PROVIDE A GENERAL QUERY INTERFACE TO MULTIPLE MANAGEMENT SERVICES AND APPLICATIONS - The current document is directed to a universal-query adapter that provides, to users and clients, a universal-query-language interface to multiple different management applications and/or services within a cloud-computing facility or distributed cloud-computing facility. In one implementation, the universal-query adapter provides, for input of universal-query-language queries, a universal-query interface and, in turn, interfaces to service adapters, semantic providers, and translators associated with the multiple different management applications and/or services. The modular implementation of the universal-query adapter facilitates both implementation of the universal-query adapter as well as scalability of the universal-query adapter, allowing new and newly discovered management applications and/or services to be easily included in the set of target management applications and/or services for query execution. | 2020-11-05 |
20200349158 | DATA STORAGE SYSTEM FOR PROVIDING LOW LATENCY SEARCH QUERY RESPONSES - A method for providing low-latency responses to queries to a data search system comprises storing first digital data in a first digital data repository using a first column-oriented storage format; storing second digital data in a second digital data repository using a second column-oriented storage format, wherein the second column-oriented storage format is different from the first column-oriented storage format; generating a plurality of pre-computed views based on both the exposure data and the risk item data; storing the plurality of pre-computed views in the second data repository using the second column-oriented storage format; and in response to receiving a search query, determining a result set that is responsive to the query based on one or more particular pre-computed views of the plurality of pre-computed views and providing the result set to another computer or display device as output. | 2020-11-05 |
20200349159 | JOIN PATTERN AGNOSTIC AGGREGATE COMPUTATION IN DATABASE QUERY OPERATIONS - A method of computing a join pattern agnostic aggregate function includes loading source code and parsing the source code to identify different database query operations. In response to the identification of an aggregate function in one of the different database query operations in which records in multiple tables are joined together in a table join, a multiplicity of primary keys are retrieved, each corresponding to a different one of the multiple tables and also an object of one of the tables referenced by the identified aggregate function. An existence of a fan out condition associated with the table join is then computed. On condition that an existence of the fan out condition is not computed a non-fan out sensitive implementation of the aggregate function is invoked with respect to the object. But, otherwise, a different, fan-out sensitive implementation of the aggregate function is invoked with respect to the object. | 2020-11-05 |
20200349160 | DATA QUERY METHOD, APPARATUS AND DEVICE - A method including receiving a query request sent by a client; determining resource occupation information of a data set corresponding to the query request; if determining, according to the resource occupation information, to cache the query request, then acquiring the data set corresponding to the query request, and storing the data set in an external memory; and reading the data set from the external memory and sending the data set to the client. By using the method, returning multiple data sets to a client within a short period of time is avoided, thus reducing the occupation of CPU resources, memory resources and network resources, avoiding client query timeout or failure, and improving the usage experience of uses. | 2020-11-05 |
20200349161 | LEARNED RESOURCE CONSUMPTION MODEL FOR OPTIMIZING BIG DATA QUERIES - Methods, systems, apparatuses, and computer program products are provided for evaluating a resource consumption of a query. A logical operator representation of a query generated to be executed (e.g., obtained from a query generating entity) may be determined. The logical operator representation may be transformed to a plurality of different physical operator representations for executing the query. A plurality of resource consumption models may be applied to each of the physical operator representations to determine a resource consumption estimate for the physical operator representation. The resource consumption models may be trained in different manners based at least on a history of query executions, such that each model may have different granularity, coverage and/or accuracy characteristics in estimating a resource consumption of a query. Based on the determined resource consumption estimates for the physical operator representations, a particular one of the physical operator representations may be selected to execute the query. | 2020-11-05 |
20200349162 | System and Method for Optimizing Large Database Management Systems with Multiple Optimizers - A large highly parallel database management system includes thousands of nodes storing huge volume of data. The database management system includes multiple query optimizers for determining low cost execution plans for queries. The database management system is adapted to receive a data query. An execution plan generator component of the database management system generates an initial execution plan for the query. The initial execution plan is fed as input to more than one query optimizers. Each optimizer starts with the initial execution plan, generates alternative execution plans, and determines a satisfactory execution plan that incurs the lowest cost. The database management system compares the selected execution plans by the optimizers and selects one with the lowest cost. The multiple query optimizers run in parallel. | 2020-11-05 |
20200349163 | DATA SYSTEM CONFIGURED TO TRANSPARENTLY CACHE DATA OF DATA SOURCES AND ACCESS THE CACHED DATA - The disclosed embodiments include a method for caching by a data system. The method includes automatically caching a portion of a data object from an external data source to a local cluster of nodes in accordance with a unit of caching. The portion of the data object can be selected for caching based on a frequency of accessing the portion of the data object. The portion of the data object in the cache is mapped to the external data source in accordance with a unit of hashing. The method further includes, responsive to the data system receiving a query for data stored in the external data source, obtaining query results that satisfy the received query by reading the portion of the cached data object instead of reading the data object from the external data source. | 2020-11-05 |
20200349164 | PARALLELIZED PARSING OF DATA IN CLOUD STORAGE - An example method of parsing data in a distributed computing system includes assigning a worker k to scan a data chunk k at a data storage node at which data chunk k is stored, each of one or more data chunks including a partial record, receiving, from each worker k, a number of instances of a context-varying symbol, a position in the data chunk k of a first instance of a context-dependent symbol after an even number of instances of the context-varying symbol, and a position in the data chunk k of a first instance of the context-dependent symbol after an odd number of instances of the context-varying symbol, for each data chunk that includes a partial record, computing an adjusted data chunk including data from a later data chunk to complete the partial record, parsing the adjusted data chunks and executing a query against the plurality of records. | 2020-11-05 |
20200349165 | COMPUTER PROGRAM FOR PROCESSING A PIVOT QUERY - Disclosed is a non-transitory computer readable medium storing computer program which is executable by one or more processors. The computer program allows the one or more processors to execute the following operations for performing a pivot query when the computer program is executed by one or more processors and the operations may include: identifying one or more classification factors from a query when receiving the query from a client; generating a search table for filtering records corresponding to at least one row of a table corresponding to the query based on the one or more classification factors; and generating a result table by performing an aggregation of a plurality of records included in the table based on the search table. | 2020-11-05 |
20200349166 | QUERYING DATA IN A DISTRIBUTED STORAGE SYSTEM - Examples are disclosed that relate to querying data in a distributed storage system. One example provides, at a front-end node, a method comprising receiving a query regarding data stored in an object, obtaining information identifying data nodes at which blocks of the object are stored, sending, to a first data node, a query regarding data in a first block, and receiving results for the query regarding the data in the first block comprising an incomplete record. The method further comprises sending, to a second data node, a query regarding data in a second block comprising the incomplete record, the second block being stored on a different physical device than the first block, and receiving results for the query regarding the data in the second block. The method further comprises outputting the results for the queries regarding the data in the first block and the data in the second block. | 2020-11-05 |
20200349167 | METHOD FOR REDUCING THE COMPUTING TIME OF A DATA PROCESSING UNIT - A method for reducing computing time of a data processing unit during processing of data. An input data stream having data stream elements is detected sequentially by at least one data processing unit, at least one element addressable data stream is generated from the input data stream, for each data stream element of the input data stream to be divided up into element components, the element components are grouped into component groups in accordance with different categories, at least individual component groups are checked for coincidence with already detected component groups, at least one element-addressable secondary data stream is generated from the component groups not coinciding with already detected component groups, wherein in the further course, the component group is defined via the address thereof referring to the secondary data stream, an output data stream is generated, and the addresses of the component groups in the secondary data stream is contained in the output data stream, for the sequence of the data stream elements of the output data stream to correspond to the sequence of the data stream elements of the input data stream. | 2020-11-05 |
20200349168 | SYSTEMS AND METHODS FOR PROVIDING A REVIEW PLATFORM - A method for personalizing reviews for a user on a social network, comprising the steps of: receiving from at least two or more users a rating and a recommendation for a reviewable item, wherein the rating is numerical value in a rating scale, and wherein a recommendation is a binary endorsement; receiving a request from a user to view the ratings and recommendations for one or more reviewable items; determining a combined rating and an combined recommendation for all users of the social network at one or more social degrees for the one or more reviewable items; and displaying, by a user interface, the combined rating and combined recommendation for all users of the social network at one or more social degrees for the one or more reviewable items. | 2020-11-05 |
20200349169 | ARTIFICIAL INTELLIGENCE (AI) BASED AUTOMATIC DATA REMEDIATION - An Artificial Intelligence (AI)-based data remediation system accesses analyzes a dataset for identification and remediation of anomalies including missing values and outliers. Based on the attributes associated with the anomalies, the dataset is initially processed via statistical checks for identifying if the dataset includes one of point anomalies, contextual anomalies and time trend anomalies. Based on the type of anomalies various machine learning (ML) based techniques can be employed for identification of the anomalous data points. Expected values are generated. The anomalous data points are replaced with the expected values for the generation of a transformed dataset. | 2020-11-05 |
20200349170 | AUGMENTED ANALYTICS TECHNIQUES FOR GENERATING DATA VISUALIZATIONS AND ACTIONABLE INSIGHTS - A data analysis system is provided. Processing resources are configured to at least: identify features within a dataset, identify potential features of interest therefrom, and enable selection of one of the identified potential features of interest. Responsive to an identified potential feature of interest being selected: (a) algorithms are run on the dataset to identify at least one related feature that the selected feature of interest is most likely and/or most heavily influenced by; (b) a display is generated to include a visual representation of each related feature, each including associated data value representations; and (c) a visual representation can be selected. A data value representation is selectable together with the selected visual representation. Responsive selection of the visual representation, (a)-(c) are repeated. Responsive to a data value representation being selected in (c), the dataset is filtered based on it, and the repetition is performed with the filtered dataset. | 2020-11-05 |
20200349171 | VIOLATION RESOLUTION IN CLIENT SYNCHRONIZATION - The disclosed technology relates to a system configured to receive a set of operations configured to converge a server state and a file system state, wherein the server state is for content items stored by a content management system and the file system state is for the content items stored on a client device. The system is further to detect a violation of a rule by an operation in the set of operations, identify resolution actions for the violation of the rule, and perform the resolution actions. | 2020-11-05 |
20200349172 | MANAGING CODE AND DATA IN MULTI-CLUSTER ENVIRONMENTS - The disclosed embodiments provide a system for managing code and data in a multi-cluster environment. During operation, storage nodes in a first cluster execute instances of a scheduler that initiates actions including creating a database image, copying the database image, and loading the database image. Next, the scheduler issues, to a synchronization service, a first action to be performed by a second cluster based on a deployment schedule for data in a distributed database. Upon receiving a confirmation that the first action has been completed, the first cluster performs a second action received from the synchronization service to manage deployment of data in the distributed database on the first cluster. Upon completing the second action at a storage node in the first cluster, the storage node issues a completion of the second action to the synchronization service. | 2020-11-05 |
20200349173 | SYSTEM AND METHOD FOR SAAS/PAAS RESOURCE USAGE AND ALLOCATION IN AN ANALYTIC APPLICATIONS ENVIRONMENT - Systems and method for SaaS/PaaS resource usage and allocation in an analytic applications environment. An exemplary method can provide an analytic applications environment, a control plane comprising a server, the control plane further comprises a provisioning component and a console interface, a data warehouse, and a monitoring agent. The method can provision an instance of the data warehouse in the context of a tenant, the provisioned instance of the data warehouse having an initial size. Upon the provisioning the instance of the data warehouse, the method can add adding an entry to a metrics repository of the monitoring agent, the added entry indicative of the initial size of the provisioned instance of the data warehouse, the added entry being tagged, the tag being indicative of the tenant. The method can monitor, by the monitoring agent, an amount of data stored at the provisioned instance of the data warehouse. | 2020-11-05 |
20200349174 | CLUSTERING OF DATA RECORDS WITH HIERARCHICAL CLUSTER IDS - The present disclosure relates clustering similar data records together in a hierarchical clustering scheme. Each tier in a cluster corresponds to a minimal match score, which reflects a degree of confidence. A hierarchical cluster ID is generated for respective data records. The hierarchical cluster ID may be made up of a series of values, wherein each value reflects a tier within the hierarchical clustering scheme. A user may enter a partial hierarchical cluster ID to select clusters associated with a lower confidence. Thus, in some embodiments, the hierarchical cluster ID is variable in length in a manner that corresponds to the tiers in the hierarchical clustering scheme. | 2020-11-05 |
20200349175 | Address Search Method and Device - An address search method and device, includes acquiring address search request information, determining to-be-found destination address information included in the address search request information, splitting the destination address information into at least one piece of sub-address information, where the destination address information is formed by multiple pieces of sub-address information, and the multiple pieces of sub-address information respectively correspond to different address types, matching the at least one piece of sub-address information or the at least one piece of sub-address information and the destination address information with different address information included in an address database, where each piece of address information stored in the address database includes different sub-address information that forms the address information, and setting address information that is obtained by matching and whose match degree is greater than a set threshold as found destination address information for output. | 2020-11-05 |
20200349176 | FLEXIBLE REAL ESTATE SEARCH - A facility for adjusting a display of a result of searching a property database is described. The facility, after displaying a list of properties satisfying a search filter, allows a user to specify property attributes the values of which are not currently shown for the properties, and redisplays the list of properties by additionally showing the values of those property attributes for the properties. | 2020-11-05 |
20200349177 | METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR RETRIEVING RELEVANT DOCUMENTS - A method, corresponding system, and computer program product for retrieving relevant documents is disclosed. The method includes running, by a processor, an enhanced query comprising a set of parameters based on which a relevancy of a document is determined. The set of parameters includes one or more of keywords, classification codes, time period, assignees, inventors, authors, and section properties. Thereafter, the processor assigns a score to one or more documents returned in response to running the enhanced query, wherein the score is determined by a scoring algorithm. The scoring algorithm evaluates a degree to which the enhanced query parameters are matched in the at least one document for computing the score. Finally, the processor selects relevant documents from the one or more documents based on the assigned score. The relevant documents are selected based on the assigned score fulfilling one or more predetermined criteria. | 2020-11-05 |
20200349178 | METHOD FOR CAPTURING AND UPDATING DATABASE ENTRIES OF CRM SYSTEM BASED ON VOICE COMMANDS - Described herein are systems and methods for facilitating the information entry and task updates to a task database in a cloud server. The task database is in synchronization with a customer relationship management (CRM) system. The systems and methods described herein enable users to update the task database and enter information into the task database in a timely manner such that the task database can stay updated. The updated database can be used to construct a suggested task set at the beginning of a period of time to meet a preset target sales value for the end of the period of time. In one embodiment, a method includes the operations of receiving, by one or more neutral network models on a cloud server, voice instructions captured by an interactive voice response (IVR) application on a mobile device, wherein the voice instructions are to update states of one or more tasks displayed in a voice interface of the IVR application; recognizing the voice instructions and constructing appropriate texts using the one or more trained neutral network models; presenting the texts to one or more voice interfaces provided by the IVR application for confirmation by a user; and storing the user confirmed texts to a repository on the cloud server. | 2020-11-05 |
20200349179 | DYNAMIC FACETED SEARCH ON A DOCUMENT CORPUS - A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document corpus, including augmenting taxonomy types with new instances where the instances comprise entities within a proximity of existing instances of taxonomy types in a local embedding of entities parsed from the document corpus, ranking each instance in the augmented taxonomy with respect to its type as a function of both a distance from an instance to a query in a global embedding vector space of the entities trained from the document corpus and a distance of an instance to a type in the local embedding, and ranking the taxonomy types using expanded instances in the document corpus for each type. | 2020-11-05 |
20200349180 | DETECTING AND PROCESSING CONCEPTUAL QUERIES - Methods, systems, and devices supporting detecting and processing conceptual queries are described. A device (e.g., an application server) may receive a search query from a user device. The search query may include one or more parameters. The device may tag the search query using one or more tags associated with the one or more parameters. In some examples, the one or more tags may be determined based on a neural network. The device may determine that the search query is supported as a conceptual query based on a tag of the one or more tags corresponding to a data object stored in a database. The device may then generate a database query in a query language based on the search query, retrieve a set of results for the search query using the database query in the query language, and transmit the set of results to the user device. | 2020-11-05 |
20200349181 | CONTEXTUAL ESTIMATION OF LINK INFORMATION GAIN - Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents | 2020-11-05 |
20200349182 | BIAS DETECTION AND ESTIMATION UNDER TECHNICAL PORTFOLIO REVIEWS - A bias detection method, system, and computer program product include creating a context of an applicant based on a profile of the applicant and a context of a reviewer based on a profile of the reviewer, predicting a probability of overlapping data points between the applicant and the reviewer, building enriched embeddings for a deep learning model based on the context of the applicant, the context of the reviewer, the overlapping data points, and text from a review and a final decision by the reviewer, and calculating a bias score via a deep learning model run over the enriched embeddings. | 2020-11-05 |
20200349183 | CLUSTERING AND DYNAMIC RE-CLUSTERING OF SIMILAR TEXTUAL DOCUMENTS - A computer-implemented method includes obtaining a plurality of textual records divided into clusters and a residual set of the textual records, where a machine learning (ML) clustering model has divided the plurality of textual records into the clusters based on a similarity metric. The method also includes receiving, from a client device, a particular textual record representing a query and determining, by way of the ML clustering model and based on the similarity metric, that the particular textual record does not fit into any of the clusters. The method additionally includes, in response to determining that the particular textual record does not fit into any of the clusters, adding the particular textual record to the residual set of the textual records. The method can additionally include identifying, by way of the ML clustering model, that the residual set of the textual records contains a further cluster. | 2020-11-05 |
20200349184 | CLUSTERING SEARCH RESULTS IN AN ENTERPRISE SEARCH SYSTEM - Described herein are enterprise search systems and methods that cluster search results that are associated with the same metadata or the same enterprise search site into one or more clustered results panels of a search results panel. The search results that are not included in the clustered results panel(s) are included in a non-clustered results panel of the search results panel. | 2020-11-05 |
20200349185 | METHOD AND SYSTEM FOR DETECTING CONFLICT OF INTEREST - A system for detecting a conflict of interest between entities includes a server and a database. The server selects a category to be evaluated for detecting whether or not two entities have a conflict of interest. A tree structure is created including the category and child and descendent categories of the category. The category and the child and descendent categories are hierarchically arranged as nodes of the tree structure. For the two entities, a conflict potential value is iteratively computed for each node based upon a previous conflict potential value of that node, previous conflict potential values of neighbouring nodes and distances between that node and neighbouring nodes. A conflict index value is computed for each node based upon the conflict potential value for that node for each entity. A conflict of interest between the entities is detected if the conflict index value of a node matches a predefined criteria. | 2020-11-05 |
20200349186 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR MANAGING METADATA OF STORAGE OBJECT - Metadata of a storage object is managed. An example method for managing metadata of a storage object comprises: in response to receiving a request to access metadata of a storage object, obtaining a first identifier of the storage object from the request; determining, based on the first identifier, a second identifier of a page where the metadata is located, an address of the page and the second identifier being stored in association in an entry of a page table distributed among a plurality of storage devices with different access speeds; determining, from the plurality of storage devices, a storage device storing the entry; and obtaining the address of the page by accessing the entry from the storage device, so as to access the metadata from the page. | 2020-11-05 |
20200349187 | METHOD AND APPARATUS FOR DATA RETRIEVAL IN A LIGHTFIELD DATABASE - A method and an apparatus for data retrieval in a lightfield database are described. An acquiring unit of the apparatus acquires a sample data. An operation unit determines a plurality of two-dimensional (2D) images from each 4D lightfield data of the lightfield database, and match the sample data with the determined 2D images according to geometrical parameters of the sample data and geometrical parameters of the 2D images. One of the 2D images is selected as a target image based on the matching result, and the 4D lightfield from which the target image is determined is retrieved. | 2020-11-05 |
20200349188 | TAGGING AN OBJECT WITHIN AN IMAGE AND/OR A VIDEO - One or more computing devices, systems, and/or methods are provided. A first image captured via a first camera is received. The first image is analyzed to identify a first object within the first image. An object tag comprising information associated with the first object is generated. The object tag and/or object information associated with the first object are stored. A second image captured via a second camera is received. The first object is identified within the second image based upon the second image and/or the object information. A representation of the object tag may be displayed via a display device. Alternatively and/or additionally, a location of the first object may be determined based upon the second image. Alternatively and/or additionally, an audio message indicative of the object tag may be output via a speaker. | 2020-11-05 |
20200349189 | Compositing Aware Digital Image Search - Compositing aware digital image search techniques and systems are described that leverage machine learning. In one example, a compositing aware image search system employs a two-stream convolutional neural network (CNN) to jointly learn feature embeddings from foreground digital images that capture a foreground object and background digital images that capture a background scene. In order to train models of the convolutional neural networks, triplets of training digital images are used. Each triplet may include a positive foreground digital image and a positive background digital image taken from the same digital image. The triplet also contains a negative foreground or background digital image that is dissimilar to the positive foreground or background digital image that is also included as part of the triplet. | 2020-11-05 |
20200349190 | INTERACTIVE MUSIC ON-DEMAND METHOD, DEVICE AND TERMINAL - An interactive music on-demand method, device, and terminal are provided. The method includes: acquiring on-demand requirement information; determining that the on-demand requirement information meets an inquiry requirement condition; and generating an on-demand inquiry voice according to the on-demand requirement information and an on-demand option set corresponding to the on-demand requirement information, in response to the on-demand requirement information meeting the inquiry requirement condition; acquiring on-demand selection information in response to the on-demand inquiry voice; and playing music according to the on-demand selection information. | 2020-11-05 |
20200349191 | METHODS AND TECHNIQUES FOR ADAPTIVE SEARCH - A user may establish a reservation for content that is not currently available to the user via a group of sources, including broadcast, streaming, and/or download sources. For example the a user may establish a reservation to record a broadcast of specific content that is currently not scheduled for broadcast. As another example, the user may establish a reservation for the purpose of alerting the user once a new movie becomes available through a subscription streaming service. Based on a reservation, the service provider and/or the user's media playback device may monitor content availability data for one or more sources. When the content is indicated as available, the user may be so informed. The content may then be streamed or downloaded, or a recording of the content may be scheduled. Additionally, or alternatively, the content may be automatically scheduled for recording or download. | 2020-11-05 |
20200349192 | HIGHLIGHTING PORTIONS OF A LIVE VIDEO BROADCAST - The present disclosure is directed toward systems and methods for enabling better control over a live video broadcast. For example, systems and methods described herein enable a broadcaster to indicate one or more highlighted portions of a live video broadcast. Systems and method described herein further provide a video broadcast viewer the ability to scrub through the video broadcast directly to the highlighted portions of the live video broadcast. | 2020-11-05 |
20200349193 | EXISTENCE CHECKS ON ROWS WITHIN A DATABASE - Example methods and systems are directed to existence checks on rows within a database. A page data structure stores bitmap data for the rows in the page. A row within the page corresponds to a single bit in the bitmap data. To determine if a row has been deleted, the page data structure for the page containing the row is located and the bit for the row in the page data structure is checked. An array of page data structures is created, indexed by a hash of the page identifier. In the event of a hash collision, a linked list of page data structures is used, sorted by page identifier. | 2020-11-05 |
20200349194 | INDEX MANAGEMENT FOR A DATABASE - An example operation may include one or more of generating a proposal to perform a ledger operation at a first node, informing one or more second nodes of the proposal, receiving a decision on consensus among the first node and the one or more second nodes for the proposal, and performing the ledger operation at the first node when there is consensus, wherein the ledger operation changes a state database of a ledger of the first node and wherein the state database corresponds to a blockchain stored in the ledger. | 2020-11-05 |
20200349195 | File Attribute for Source Inspection - A system, method, and computer-readable medium are disclosed for improved identification of sources of files. In various embodiments, files are downloaded from one or more locations or sources to a user device. The sources can be local sources to the or on the user device. In certain cases, the sources can be from sites or networks. The files can be part of a software update package. Meta-data extensions are added to the copied files that indicate the source that the files are copied from. In certain implementations, other meta-data extensions are added to the files. The files with meta-data extensions are stored. The files with meta-data extensions can be retrieved when there is a need to determine where the files were originally copied from. | 2020-11-05 |
20200349196 | MEMORY SYSTEM AND METHOD OF OPERATING THE SAME - A memory system includes a memory device configured to store data, and a memory controller configured to perform communication between a host and the memory device and to control the memory device such that, during an operation of programming sequential data, a hash value is generated from logical block addresses of a memory area, to which the sequential data is to be written, and the hash value is stored and such that, during an operation of reading the sequential data, the sequential data is read from the memory area based on the hash value. | 2020-11-05 |
20200349197 | CONCURRENT AUTOMATIC ADAPTIVE STORAGE OF DATASETS IN GRAPH DATABASES - Techniques for improving database searches are described herein. In an embodiment, a computer-implemented data processing method comprises receiving a request to store a digital data object in a non-graph data repository, the data object comprising one or more first properties, the data object conforming to a first schema of the non-graph data repository; in response to the initiating, concurrently: digitally storing the data object in the non-graph data repository; transforming the data object into one or more nodes and edges of a graph; storing the one or more nodes and edges of the graph in a graph data repository that is separate from the non-graph data repository; electronically receiving a search query that specifies a path-based search; in response to receiving the search query: transforming the search query into a graph search query; submitting the graph search query to the graph data repository; receiving a result set of nodes from the graph data repository; transforming the result set of nodes into a set of corresponding data objects in the non-graph data repository; providing the set of corresponding data objects as output in a computer display. | 2020-11-05 |
20200349198 | INFORMATION PRESENTATION DEVICE AND INFORMATION PRESENTATION SYSTEM - A degree-of-interest calculating unit calculates degrees of interest for each user, for each piece of information in a hierarchical structure, and for each time slot. An execution trigger generating unit generates execution triggers for each user. A graph creating unit creates a graph structure in which text templates having variables are stored in nodes and the nodes are connected by edges, sets weights of the nodes and the edges, and updates the weights of at least one of the nodes and the edges. A presentation content creating unit creates information presenting text by extracting some nodes on the basis of weights of nodes and edges in which degrees of interest of a user and external information set per time slot are reflected in the graph structure, and embedding information determined on the basis of the degrees of interest in the variables of the nodes. | 2020-11-05 |
20200349199 | DETERMINING SEMANTIC CONTENT OF TEXTUAL CLUSTERS - The embodiments herein provide a framework for and specific implementations of machine learning (ML) analysis of incident, online chat, knowledgebase, skills, and perhaps other types of databases. The ML techniques described herein may include various forms of semantic analysis of textual information in these databases, such as clustering, term frequency, word embedding, paragraph embedding, and potentially other techniques. Advantageously, use of ML in the specific ways described herein can provide insights into this textual information that otherwise would be impossible to determine in an accurate or concise fashion. | 2020-11-05 |
20200349200 | SYSTEMS AND METHODS FOR PROCESSING RETAIL FACILITY-RELATED INFORMATION REQUESTS OF RETAIL FACILITY WORKERS - In some embodiments, methods and systems are provided for processing information requests of workers at a retail facility and retrieving information associated with the retail facility based on the information requests. An electronic device permits a worker at the retail facility to input an information request in association with at least one worker at the retail facility or at least one product at the retail facility. A computing device receives, from the electronic device, electronic data representative of a scope of the information request, analyzes this electronic data to determine the scope of the information request, obtain relevant information from one or more databases, and transmits the obtained information to the electronic device, which in turn outputs the information to the worker. | 2020-11-05 |
20200349201 | DISCOVERABILITY IN SEARCH - A method and system is disclosed that provides search with improved discoverability within an online gaming platform. | 2020-11-05 |
20200349202 | REGULAR EXPRESSION MATCHING METHOD IN DEEP PACKET INSPECTION AND APPARATUS THEREFOR - Disclosed is an regular expression matching method in deep packet inspection and an apparatus thereof. The regular expression matching method includes receiving a regular expression pattern, converting the received regular expression pattern into predetermined automata, converting the converted automata into a combination of predefined templates, and implementing the converted combination of templates as cells at a reconfigurable hardware level in real time. The converting of the received regular expression pattern into the automata includes converting the received regular expression pattern into Non-deterministic Finite Automata. | 2020-11-05 |
20200349203 | DYNAMIC FACETED SEARCH ON A DOCUMENT CORPUS - A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document collection, including ingesting a document corpus, generating a vector space representation of a query and instances from a taxonomy of the document corpus, and producing a dynamic structure of a relevant facet categories and facet values using a two-vector space representation from the generated vector space representation. | 2020-11-05 |
20200349204 | PATENT EVALUATION AND DETERMINATION METHOD, PATENT EVALUATION AND DETERMINATION DEVICE, AND PATENT EVALUATION AND DETERMINATION PROGRAM - A patent evaluation and determination method includes: an invention input step of receiving an input of an invention sentence relating to an invention; a keyword extraction step of performing a syntactic analysis on the input invention sentence in units of words, and then extracting any search keyword in the invention sentence; a patent sentence group extraction step of extracting a patent sentence group in which the search keyword is contained from a database using the extracted search keyword; and a determination step of comparing the invention sentence and a sentence included in the patent sentence group and determining the patentability of the invention sentence on the basis of a result obtained by multiplying a reciprocal number of an edit distance of the sentence included in the patent sentence group by a length index of the invention sentence and a content rate of the search keyword. | 2020-11-05 |
20200349205 | SEARCH INFRASTRUCTURE - A system for real-time search, including: a set of partitions, each including a set of segments, each segment corresponding to a time slice of messages posted to the messaging platform, and a real-time search engine configured to receive a search term in parallel with other partitions in set the set of partitions, and search at least one of the set of segments in reverse chronological order of the corresponding time slice to identify document identifiers of messages containing the search term; and a search fanout module configured to: receive a search query including the search term; send the search term to each of the set of partitions for parallel searching; and return, in response to the search query, at least one of the identified document identifiers of messages containing the search term. | 2020-11-05 |
20200349206 | SYSTEMS, APPARATUSES, AND METHODS OF PROCESSING AND MANAGING WEB TRAFFIC DATA - Methods, apparatuses, and systems for collecting and validating web traffic data, including receiving preprocessed log data representing an activity of a device interacting with a data service; validating the preprocessed log data in accordance with a predetermined format, the format comprising a field indicative of a predetermined data type and a field indicative of a predetermined validation condition associated with the predetermined data type; and generating metadata associated with validated preprocessed log data. | 2020-11-05 |
20200349207 | DECLARATIVE AND REACTIVE DATA LAYER FOR COMPONENT-BASED USER INTERFACES - Each of a plurality of wire web components predicted to be included in a graphical user interface (GUI) for presentation at a client machine. Each data object instance may be associated with a respective data object instance identifier and a respective one or more data object fields. A wire web component graph that includes a plurality of nodes may be constructed. A node may correspond to a wire web component, a data object field, or an application procedure interface (API). One or more of the data values may be retrieved from the respective APIs based on the wire web component graph. A GUI message including the retrieved data values and the wire web component graph may be transmitted to the client machine, | 2020-11-05 |
20200349208 | DATA-DRIVEN ONLINE BUSINESS NAME GENERATOR - Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list. | 2020-11-05 |
20200349209 | DATA-DRIVEN ONLINE SOCIAL MEDIA HANDLE GENERATOR - Systems and methods of the present invention provide for one or more server computers communicatively coupled to a network and configured to: identify a business name within an aggregation of business names; tokenize the business name; match a resulting token to an industry related keyword; generate a template with placeholders replacing a prefix or a suffix appended to the token from a recognized pattern; identify a request to generate a name candidate, select a personalized data associated with the requesting user and an associated industry; and generate a list of name candidates, with the personalized data inserted into the placeholder; then determines the availability and ranks each name candidate in the list. | 2020-11-05 |
20200349210 | Context Aware Skim-Read Friendly Text View - The present disclosure provides a text display system that switches seamlessly between an overview mode and a detailed view mode, depending on passive signals from the user. Accordingly, users can switch between the overview and detailed context using interactions that they use naturally. When looking for interesting things to read, they can naturally scroll fast and be able to see only the important topics of the contents. When they slow down the scrolling, the content will be presented in its original form without highlighting, so the user will be able to consume the content in the true form that the author created. Since there is no active interaction required other than the natural scrolling that users would do anyway, there is no mental hurdle in switching between the overview and detailed contexts, allowing users to find and consume content quickly. | 2020-11-05 |
20200349211 | CONTENT ITEM AUDIENCE SELECTION - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting an audience for content are disclosed. In one aspect, a method includes receiving, from a content item provider, a request to distribute content items to users that have been deemed interested in a particular entity. First users that have expressed an interest in the particular entity are identified. Expansion entities for the particular entity are identified in a knowledge graph. At least one of the expansion entities can be connected to the particular entity by a relationship path. Second users are identified. The second users are deemed interested in the particular entity based on the second users having expressed an interest in an expansion entity. The content items are provided to at least a portion of the first users and at least a portion of the second users. | 2020-11-05 |
20200349212 | PORTABLE INFORMATION TERMINAL AND APPLICATION RECOMMENDING METHOD THEREOF - The purpose of the present invention is to provide a suitable user-friendliness to a user regarding a recommendation of application software on a portable information terminal. In order to accomplish the purpose, this portable information terminal is configured to set an application as a recommendation candidate when the status of the portable information terminal matches a condition corresponding to the application, and recommend the application when the application further matches a pre-set recommendation permitting condition. Hence, the portable information terminal and the application recommending method thereof capable of providing a preferable user-friendliness to the user can be provided. | 2020-11-05 |
20200349213 | Displaying Information Related to Spoken Dialogue in Content Playing on a Device - A server system detects presentation of a media content item being played at a first device in proximity to a second device associated with a first user. It also receives from the second device content information derived from sound output from the presentation of the media content item at the first device captured at the second device. Based on the received content information, it identifies the media content item being played at the first device and a plurality of first quotations associated with the media content item. The server system sends to the second device the first quotations and a plurality of quotation operation affordances. It receives selection by the first user of a first affordance of the quotation operation affordances for a first one of the first quotations. In accordance with the selection, it performs an operation with respect to the first one of the first quotations. | 2020-11-05 |
20200349214 | TECHNIQUES TO LEVERAGE MACHINE LEARNING FOR SEARCH ENGINE OPTIMIZATION - Techniques to leverage machine learning for search engine optimization (SEO). Some techniques are applicable to turnkey e-commerce solutions operating on the Internet as an online platform. These techniques use machine learning to gain insights into patterns/relationships between search terms and items for sale on the online platform. Depending on a relevancy or an accuracy of a search term to a particular item for sale, the online platform inserts the search term into the online platform such that a public search engine crawler increases a search engine result position for the online platform. Other embodiments are described and claimed. | 2020-11-05 |
20200349215 | INTELLIGENT EXTRACTION OF WEB DATA BY CONTENT TYPE VIA AN INTEGRATED BROWSER EXPERIENCE - In non-limiting examples of the present disclosure, systems, methods and devices for collecting and surfacing web content are provided. Web content from a webpage may be displayed in a web browser. A type associated with the webpage may be identified. An indication to add a new section corresponding to the webpage to a content collection pane may be received. A plurality of elements on the webpage may be identified based on the identified type associated with the webpage. A subset of web content from the webpage corresponding to the plurality of elements may be extracted. The new section may be added to the content collection pane, wherein the new section comprises the subset of web content extracted from the webpage. | 2020-11-05 |
20200349216 | DATA PATH FOR SCALABLE MATRIX NODE ENGINE WITH MIXED DATA FORMATS - A microprocessor system comprises a matrix computational unit and a control unit. The matrix computational unit includes a plurality of processing elements. The control unit is configured to provide a matrix processor instruction to the matrix computational unit. The matrix processor instruction specifies a floating-point operand formatted using a first floating-point representation format. The matrix computational unit accumulates an intermediate result value calculated using the floating-point operand. The intermediate result value is in a second floating-point representation format. | 2020-11-05 |
20200349217 | METHODS AND APPARATUS FOR PERFORMING MATRIX TRANSFORMATIONS WITHIN A MEMORY ARRAY - Methods and apparatus for performing matrix transforms within a memory fabric. Various embodiments of the present disclosure are directed to converting a memory array into a matrix fabric for matrix transformations and performing matrix operations therein. Exemplary embodiments described herein perform matrix transformations within a memory device that includes a matrix fabric and matrix multiplication unit (MMU). In one exemplary embodiment, the matrix fabric uses a “crossbar” construction of resistive elements. Each resistive element stores a level of impedance that represents the corresponding matrix coefficient value. The crossbar connectivity can be driven with an electrical signal representing the input vector as an analog voltage. The resulting signals can be converted from analog voltages to a digital values by an MMU to yield a vector-matrix product. In some cases, the MMU may additionally perform various other logical operations within the digital domain. | 2020-11-05 |
20200349218 | METHOD FOR IDENTIFYING DISCRETE URYSOHN MODELS - A computationally inexpensive and stable method for real-time identification of multiple-input Urysohn models, designed and intended for usage in machine learning processes of robotic devices. | 2020-11-05 |
20200349219 | Cross-Browser Techniques For Efficient Document Pagination - Cross-browser techniques for efficient document pagination are provided. In one set of embodiments, a computer system can receive an indication of a starting point for a page in a content flow of a document and build a DOM tree of content elements in a portion of the content flow spanning from the starting point to an estimated ending point, the estimated ending point corresponding to an estimated ending boundary for the page. The computer system can further invoke an API that causes a layout engine of the web browser to create a layout of the page based on the DOM tree and determine, based on the layout and the content flow, one or more content elements in the content flow that fall beyond an actual ending boundary of the page. The computer system can then remove the one or more content elements from the DOM tree and add the DOM tree to a page set for the document. | 2020-11-05 |
20200349220 | CONTROLLING MARK POSITIONS IN DOCUMENTS - A document is represented as a node tree in a document processing system. Edits to a node are represented in a change record that has a one-way link to the node. A text mark has a one-way link to the change record. It deletes that link when the changes represented by the change record are reflected in the text mark. A memory management system releases the memory allocated to the change record when no other object links to it. | 2020-11-05 |
20200349221 | DECLARATIVE AND REACTIVE DATA LAYER FOR COMPONENT-BASED USER INTERFACES - A wire web component may be included in a graphical user interface (GUI) being presented on a display device. The wire web component may include one or more data fields that are each associated with a respective data value. A designated node representing the designated wire web component may be removed from a wire web component graph that includes a plurality of nodes. Each of the data fields may be associated with a respective API in the wire web component graph. A document object model (DOM) tree stored in memory may be updated to remove the designated wire web component. The GUI presented on the display device may be updated based on the updated DOM tree. | 2020-11-05 |
20200349222 | ENHANCED TEXT SUMMARIZER - An enhanced text summarizer is provided. A processor receives a request to generate a summarization of a text. A processor determines at least one domain associated with the text. A processor extracts one or more features from the text. A processor determines one or more relevance scores for the one or more features based on the determined at least one domain associated with the text. A processor determines a feature-based ranking for one or more sentences of the text. A processor determines an extractive-based ranking for one or more sentences of the text. A processor merges at least one sentence of the feature-based ranking and at least one sentence of the extractive-based ranking of the text. A processor generates the summarization of the text based on the merged the at least one sentence of the feature-based ranking and the at least one sentence of the extractive-based ranking of the text. | 2020-11-05 |
20200349223 | TRANSFORMING COLLECTIONS OF CURATED WEB DATA - In non-limiting examples of the present disclosure, systems, methods and devices for surfacing collected web content are presented. A collection of web content may be maintained, wherein the collection of web content is divided into a plurality of sections, each of the plurality of sections comprising a subset of web content from a different webpage. An indication to export the collection of web content to a productivity application may be received. A plurality of attributes that each of the plurality of sections have a value for may be identified. A productivity application document may be populated with the plurality of attributes and the corresponding values from each of the sections. | 2020-11-05 |
20200349224 | AUTOMATED FEEDBACK IN ONLINE LANGUAGE EXERCISES - Language models may be run with an input set of words in a given sentence. Each of the language models can predict a set of next candidate words to follow the input set or words. Based on the sets of next candidate words predicted by the language models and an actual next word, language guidance can be provided. | 2020-11-05 |
20200349225 | Graphical User Interface Providing Priority-Based Markup of Documents - A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface. | 2020-11-05 |
20200349226 | Dictionary Expansion Using Neural Language Models - Embodiments relate to a system, program product, and method for iterative expansion and application of a domain-specific dictionary. One or more dictionary instances are applied against a text corpus. The dictionary is iteratively expanded and selectively populated with one or more additional dictionary instances, including semantically similar instances to the applied dictionary instances and extension instances contextually related to the applied dictionary instances. The iteratively expanded dictionary is applied to an unexplored corpus to identify matching corpus data to populated instances of the dictionary. | 2020-11-05 |
20200349227 | ANALYZING RESUMES AND HIGHLIGHTING NON-TRADITIONAL RESUMES - A system for analyzing resumes. The system includes an electronic computing device, including an electronic processor. The electronic processor is configured to receive a selection of a resume and determine a first set of terms included in both the resume and a sentiment dictionary. The sentiment dictionary includes a plurality of terms organized in a plurality of categories. The electronic processor is also configured to generate a visual representation of information included in the resume based on the first set of terms. | 2020-11-05 |
20200349228 | SIGNIFICANT CORRELATION FRAMEWORK FOR COMMAND TRANSLATION - A significant correlation framework is provided herein for translating input commands to intents. The input commands may be natural language commands, received from a variety of input channels, which may be translated to intents or other runtime-bindable execution objects. The significant correlation framework may use interpreter nodes for translating the input commands by calculating the strength of correlation between an input command and an intent. The significant correlation framework may analyze the sequence of intents or the timing of translated intents to enhance the accuracy of the translation. The significant correlation framework may maintain a history of command translations, and may compare current translations against the history to improve accuracy of the translations. The significant correlation framework may switch between a depth-first mapping method and a breadth-first mapping method. Depth-first mapping may translate commands through a single interpreter node. Breadth-first mapping may translate commands using multiple interpreter nodes. | 2020-11-05 |
20200349229 | OPEN DOMAIN TARGETED SENTIMENT CLASSIFICATION USING SEMISUPERVISED DYNAMIC GENERATION OF FEATURE ATTRIBUTES - Methods for classification of microblogs using semi-supervised open domain targeted sentiment classification. A hidden Markov model support vector machine (SVM HMM) is trained with a training dataset combined with discrete features. A portion of the training dataset is clustered by k-means clustering to generate cluster IDs which are normalized and combined with the discrete features. After formatting, the combined dataset is applied to the SVM HMM and the C parameter, which is optimized by calculating a zero-one error at each iteration. The open domain targeted sentiment classification methods uses less labelled data than previous sentiment analysis techniques, thus decreasing processing costs. Additionally, a supervised learning model for improving the accuracy of open domain targeted sentiment classification is presented using an SVM HMM. | 2020-11-05 |
20200349230 | CUSTOMIZED OUTPUT TO OPTIMIZE FOR USER PREFERENCE IN A DISTRIBUTED SYSTEM - Systems and methods for providing customized output based on a user preference in a distributed system are provided. In example embodiments, a meeting server or system receives audio streams from a plurality of distributed devices involved in an intelligent meeting. The meeting system identifies a user corresponding to a distributed device of the plurality of distributed devices and determines a preferred language of the user. A transcript from the received audio streams is generated. The meeting system translates the transcript into the preferred language of the user to form a translated transcript. The translated transcript is provided to the distributed device of the user. | 2020-11-05 |
20200349231 | Consolidating Information Relating to Duplicate Images - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for resolving duplicate images. In one aspect, a method includes obtaining a selection of a single image from among a plurality of duplicate images. Each duplicate image has an associated set of metadata. The method also includes aggregating each set of metadata into aggregated information, and storing the selected image together with the aggregated information on data storage accessible to a data processing apparatus. | 2020-11-05 |
20200349232 | COMPUTER AIDED DESIGN (CAD)-BASED FOAM PART GENERATION FOR SEAT DESIGNS - A system may include an access engine and a foam part generation engine. The access engine may be configured to access a computer-aided design (CAD) seat surface that represents a seat surface of a seat design and access seat parameters for the seat design. The foam part generation engine may be configured to construct a CAD foam part for the seat design based on the CAD seat surface and the seat parameters. | 2020-11-05 |
20200349233 | Systems and Methods of Generating a Dynamic Representation of an Electrical Grid - A computer-implemented method of generating a dynamic representation of an electrical grid comprising receiving and parsing an electrical grid design file to define a plurality of grid objects comprising a power source and a plurality of power lines, generating a grid status data structure comprising a grid coordinate display and the pluralities of grid objects and power lines, assigning electrical properties to and defining location and connection coordinates for the grid objects, defining end coordinates for the power lines, defining electrical connections, associating sensors with the grid objects and power lines, identifying power sources for each grid object, receiving and updating sensor information, and generating and transmitting a display file responsive to the sensor information. | 2020-11-05 |
20200349234 | SOFT-REAL-TIME HUB PROVIDING DATA TRANSPORT FOR PROCESSOR-IN-THE-LOOP (PIL) SIMULATIONS - A software-based (“soft”) real-time hub designed and implemented for use in simulation (or control testing) systems such as to provide a modular soft-real-time PIL. A simulation system of the present description typically may include one or more of the following useful subsystems or components: (a) a soft-real-time hub; (b) simulation interfaces; and (c) hardware emulation subsystems/devices. The soft-real-time hub is typically a combination of hardware and software adapted to provide deterministic data transport between simulations and input/output (I/O) emulation. By creating a common point, the hub enables simulation modules to be swapped out as the simulation system progresses without the operator having to worry about interface timing, forcing, or data visualization. A desirable aspect of the simulation system is it allows for testing certain conditions by forcing I/O and then seeing how the controller or system under testing responds. | 2020-11-05 |
20200349235 | ELECTRONIC PRODUCT TESTING SYSTEMS FOR PROVIDING AUTOMATED PRODUCT TESTING - An electronic product testing system includes: a testing instruction generator configured to provide a user interface for generating an electronic file, the electronic file containing product testing instruction; and a testing device having a processing unit configured to execute the electronic file to perform testing of a product based on the product testing instruction in the electronic file; wherein the processing unit is configured to perform testing of the product by simulating human actions based on the product testing instruction in the electronic file. | 2020-11-05 |
20200349236 | GENERATION OF DYNAMIC DESIGN FLOWS FOR INTEGRATED CIRCUITS - Systems and methods are disclosed for to generation of dynamic design flows for integrated circuits. For example, a method may include accessing a design flow configuration data structure, wherein the design flow configuration data structure is encoded in a tool control language; based on the design flow configuration data structure, selecting multiple flowmodules from a set of flowmodules, wherein each flowmodule provides an application programming interface, in the tool control language, to a respective electronic design automation tool; based on the design flow configuration data structure, generating a design flow as a directed acyclic graph including the selected flowmodules as vertices; and generating an output integrated circuit design data structure, based on one or more input integrated circuit design data structures, using the design flow to control the respective electronic design automation tools of the selected flowmodules. | 2020-11-05 |
20200349237 | SYSTEMS AND METHODS FOR PAYLOAD ENCODING AND DECODING - Systems and methods for payload encoding and decoding are disclosed. Example apparatus disclosed herein determine encoding data corresponding to one or more frequencies to be used to encode a message into audio data. Disclosed example apparatus also generate a license file including the encoding data, the license file corresponding to the message to be encoded into the audio data, the message to be encoded into the audio data by an encoding device. Disclosed example apparatus further transmit the license file to a decoding device to enable the decoding device to decode the message from the audio data based on the license file. | 2020-11-05 |
20200349238 | AUTOMATICALLY DETECTING MISUSE OF LICENSED SOFTWARE - An example embodiment may involve communicating with a server to separately access first and second records of sessions between the server and computing devices of a network, the first record including a first set of fields not present in the second record and the second record includes a second set of fields not present in the first record; identifying a common field present the first and second records; correlating information across the first and second records using the common field; using a set of license misuse criteria to identify, from the correlated information, (i) a set of the sessions that meets the set of criteria and (ii) a network address of a target device involved in the set of sessions; identifying the target device using the network address; and storing an indication identifying the target device as a potential source of misuse of licensed software executable on the server. | 2020-11-05 |
20200349239 | DISCOVERY AND ALLOCATION OF ENTITLEMENTS TO VIRTUALIZED APPLICATIONS - An example embodiment may involve identifying a virtual software application that is accessible within a managed network. The example embodiment may further involve determining a delivery group associated with accessing the virtual software application within the managed network. The example embodiment may further involve, based on the delivery group, determining a potential-entity count of entities with access to the virtual software application within the managed network. The example embodiment may further involve calculating compliance of a software license associated with the virtual software application based on the potential-entity count. | 2020-11-05 |
20200349240 | DISAMBIGUATION AND AUTHENTICATION OF DEVICE USERS - Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold. | 2020-11-05 |
20200349241 | MACHINE LEARNING-BASED ANOMALY DETECTION FOR HUMAN PRESENCE VERIFICATION - Techniques are provided for machine learning-based anomaly detection in a monitored location. One method comprises obtaining data from multiple data sources associated with a monitored location for storage into a data repository; processing the data to generate substantially continuous time-series data for multiple distinct features within the data; applying the substantially continuous time-series data for the distinct features to a machine learning baseline behavioral model to obtain a probability distribution representing a behavior of the monitored location over time; and evaluating a probability score generated by the machine learning baseline behavioral model to identify an anomaly at the monitored location. The machine learning baseline behavioral model is trained, for example, to identify anomalies in correlations between the plurality of distinct features at each timestamp. A presence verification is optionally provided based on a deviation from the machine learning baseline behavioral model at the monitored location. | 2020-11-05 |
20200349242 | System and Method for Identity and Reputation Score Based On Transaction History - Techniques for electronic signature process management are described. Some embodiments provide an electronic signature service (“ESS”) configured to manage electronic identity cards. In some embodiments, the ESS generates and manages an electronic identity card for a user, based on personal information of the user, activity information related to the user's actions with respect to the ESS, and/or social networking information related to the user. The electronic identity card of a signer may be associated with an electronic document signed via the ESS, so that users may obtain information about the signer of the document. The ESS may also generate a trust score for the user based on activity information related to the user's actions with respect to the ESS and/or other factors. The trust score may be used to recommend authentication mechanisms to use with respect to electronic signature transactions. | 2020-11-05 |
20200349243 | IDENTITY ASSURANCE USING POSTURE PROFILES - Techniques are provided for identity assurance using a posture profile. One method comprises obtaining a posture profile of a user indicating a behavior of the user while sitting in a seat and/or standing on a mat; performing the following steps, in response to a request of the user to obtain access to a protected resource: receiving identity assurance information comprising: (i) configuration information about a configuration of the seat and/or the mat at a time of the request of the user; and/or (ii) user information about the user one or more of: sitting in the seat and standing on the mat at the time of the request of the user; determining if the identity assurance information satisfies a predefined identity assurance criteria; and providing an identity assurance result. | 2020-11-05 |
20200349244 | HUMAN ID FOR MOBILE AUTHENTICATION - A computing device includes a system that authenticates a user of the computing device. A first sensor obtains a first representation of a physical characteristic of the user that is compared to a registered representation of the physical characteristic of the user. A first level of access to the computing device is enabled based on the first representation of the physical characteristic matching the second representation of the physical characteristic. A second sensor obtains a first representation of a liveness characteristic of the user that indicates that the user is alive. The first representation of the liveness characteristic is compared to a registered representation of the liveness characteristic of the user. A second level of access to the computing device is enabled based on the first representation of the liveness characteristic of the user matching the second representation of the liveness characteristic of the user. | 2020-11-05 |
20200349245 | PRIVACY PRESERVING BIOMETRIC SIGNATURE GENERATION - Methods, systems, and devices are provided for generating biometric signatures. The system can detect, at an electronic device, one or more biometric acoustic signals. The system can generate a biometric signal input of the one or more biometric acoustic signals. The system can apply a machine learning model to conduct feature extraction of the biometric signal input having one or more biometric acoustic signals. The system can generate a biometric user signature of the user from the machine learning model. The system can perform one or more privacy preserving hashing functions to the biometric user signature to generate a hashed biometric user signature. The system can determine whether the hashed biometric user signature satisfies a predetermined threshold with an enrollment hashed signature of the user. And the system can authenticate an identity of the user upon detecting that the hashed biometric user signature satisfies the predetermined threshold. | 2020-11-05 |
20200349246 | Supervised and Unsupervised Techniques For Motion Classification - A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data characterizing movements performed by a target user. The sequence of motion data is received as a point cloud of the motion data. The point cloud is input a machine-learned model trained based on manually labeled point clusters of a training set of motion data that each represent a movement. The machine-learned model identifies a movement represented by the point cloud of the motion data and assigns a label describing the movement the point cloud. The system generates a labeled representation of the sequence of motion data comprising the label identifying a portion of the sequence of motion data corresponding to the identified movement. | 2020-11-05 |
20200349247 | SMART HARDWARE SECURITY ENGINE USING BIOMETRIC FEATURES AND HARDWARE-SPECIFIC FEATURES - A smart hardware security engine using biometric features and hardware-specific features is provided. The smart security engine can combine one or more entropy sources, including individually distinguishable biometric features, and hardware-specific features to perform secret key generation for user registration and authentication. Such hybrid signatures may be distinct from person-to-person (e.g., due to the biometric features) and from device-to-device (e.g., due to the hardware-specific features) while varying over time. Thus, embodiments described herein can be used for personal device authentication as well as secret random key generation, significantly reducing the scope of an attack. | 2020-11-05 |
20200349248 | System, Method and Apparatus for Generating Acoustic Signals Based on Biometric Information - An apparatus, method and system are provided for sensing an individual's biometric information, and generating and transmitting an acoustic signal representative of the sensed biometric information. The acoustic signal may be transmitted as an audio signal or an ultrasonic signal to another apparatus in the system for authentication or verification of the individual's identity. | 2020-11-05 |
20200349249 | ENTITY IDENTIFICATION AND AUTHENTICATION USING A COMBINATION OF INDEPENDENT IDENTIFICATION TECHNOLOGIES OR PLATFORMS AND APPLICATIONS THEREOF - Techniques are described for identifying and/or authenticating entities using a combination of independent identification technologies and/or platforms. In one embodiment, a system can comprising a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a reception component that receives image data captured of a person, and an identification component that employs two or more independent identification technologies and/or platforms to determine an identity of the person based on the image data. In some embodiments, the two or more independent identification technologies are selected from a group consisting of: facial recognition, object recognition, text recognition, and gait recognition. | 2020-11-05 |
20200349250 | MULTIDIMENSIONAL ATTRIBUTE AUTHENTICATION - A user requesting authentication is presented a keypad that includes multiple keys and respective keys include a character that is associated with a shape. Responsive to selection of a key, a first set of attributes is activated for selection. Responsive to determining a selection of an attribute from the first set of attributes, activating one or more additional sets of attributes associated with the first key. Responsive to determining a selection from the one or more additional sets of attributes, determining whether a selection of an additional key is made. Responsive to determining the selection of the additional key, activating for selection a first set of attributes and one or more additional sets of attributes of the additional key, and responsive to determining selections of keys and corresponding attributes associated with the selection of respective keys, determining the validity of the authentication code. | 2020-11-05 |
20200349251 | CONTROLLING ACCESS TO I/O PORTS BASED ON USER AND SYSTEM CONTEXT - In scenarios where I/O ports of an IHS are not secured, malicious actors may exploit such I/O ports when a user of the IHS is unaware. Embodiments provide techniques for securing access to I/O ports of an IHS based on the context of the IHS, which includes the user context and the system context of the IHS. Upon initialization of the IHS, access to the I/O ports is configured based on a boot context policy. The operating system is booted and use of the IHS proceeds. Modifications to an IHS context are detected. Based on a policy applicable to the modified IHS context, modified access to the I/O ports is configured. In embodiments where the IHS is a convertible laptop, a system context may include the posture in which the system is physically configured. A user context may include whether a user is detected in proximity to the IHS. | 2020-11-05 |
20200349252 | PROGRAM EXECUTION AND DATA PROOF SCHEME USING MULTIPLE KEY PAIR SIGNATURES - Methods, systems, and apparatus, including computer programs encoded on computer storage media for program execution and data proof scheme to prove that sub-logic code that was expected to be executed within a TEE was indeed executed, and that the resulting data is trustworthy. In some implementations, each sub-logic code of a plurality of sub-logic code is registered, and stored within the TEE, and a key pair (private key, public key) corresponding to the sub-logic code is generated. The client receives and stores the public key, sends requests to the TEE with an identifier of the sub-logic that is to be executed. The sub-logic code corresponding to the identifier is executed within the TEE, which signs the result using a digital signature that is generated using the private key of the sub-logic code. The client verifies the result based on the digital signature and the public key of the sub-logic code. | 2020-11-05 |
20200349253 | TERMINALS AND METHODS FOR SECURE TRANSACTIONS - A portable terminal includes a security envelope, the envelope being able to capture a signal transmitted by a generator of the terminal (screen, loudspeaker, etc.), to convey this signal and to restore it at the level of a sensor of the terminal (camera, microphone), so as to be able to detect a breach of this envelope by alteration of the restored signal. | 2020-11-05 |
20200349254 | System Abnormality Detection Using Signal Fingerprinting - Systems, methods, and devices are described herein for detecting abnormalities within a system based on signal fingerprinting. A plurality of electrical signals are concurrently received from a transceiver over a time period. The time period is partitioned into a plurality of sampling windows. An electrical signal of the plurality of electrical signals is sequentially selected. For the sequentially selected electrical signal, a temporal snapshot of said electrical signal is iteratively captured over a sampling window of the plurality of sampling windows. This iterative capturing is repeated for remaining sampling windows of the plurality of sampling windows. Each captured temporal snapshot is temporally concatenated over the time period according to its respective temporal position of the time period to generate the signal fingerprint. | 2020-11-05 |
20200349255 | DISTRIBUTION-BASED AGGREGATION OF SCORES ACROSS MULTIPLE EVENTS - Techniques are provided for distribution-based aggregation of scores across multiple events. One method comprises obtaining a plurality of individual scores associated with a plurality of events; obtaining an expected distribution for the plurality of individual scores; and generating an aggregate score for the plurality of individual scores based on a deviation of the plurality of individual scores from the obtained expected distribution for the plurality of individual scores. The aggregate score, for example, reflects how closely the individual scores follow the expected distribution. The aggregate score comprises, for example, an aggregate risk score that: (i) is compared across different vectors of an organization; (ii) is used to create a security policy and/or modify a security policy; and/or (iii) triggers an alert based on one or more predefined threshold criteria. The multiple aggregate risk scores can be visualized in one or more geographic regions and/or sub-networks of an organization. | 2020-11-05 |