Abstract: Disclosed are techniques for dynamically analyzing applications submitted for sharing on a data sharing platform using application security profiles. Application behavior information of the application may be obtained and a provider application security profile indicating a structure of and inputs to the application may be generated based thereon. If the application does not contain malicious code based on a scan of the provider application security profile, variations of the inputs to the application may be generated and the application may be run with the variations of the inputs to generate updated application behavior information. A replay application security profile may be generated based on the updated application behavior information. If the application does not contain any malicious code based on the scan of the replay application security profile, the application may be approved for listing on the data sharing platform.

Abstract: A data platform having an anti-abuse analysis pipeline is provided. The anti-abuse analysis pipeline detects an image referenced in an application package and schedules an application scan to scan application source files and generate application scan results. The anti-abuse analysis pipeline also schedules an image scan to scan the image and generate image scan results. The anti-abuse analysis pipeline extracts application source files from the application package and executes an application scan using the extracted application source files to generate application scan results. The anti-abuse analysis pipeline extracts artifacts from the referenced image and executes an image scan using the artifacts to generate image scan results. The anti-abuse analysis pipeline determines a completion of the application scan and the image scan and generates a scan result using the application scan results and image scan results.

Abstract: A method of managing audio in a multi-speaker environment, performed by a wearable audio device may be provided. The method may include generating, based on a binaural audio signal captured by the wearable audio device, a virtual sound source map indicating a localized position of one or more sources of sound. The method may include estimating, based on the virtual sound source map, one or more target sources indicating sources of sound of interest to a user of the wearable audio device. The method may include transmitting metadata associated with the wearable audio device, to an electronic device coupled to the wearable audio device, to cause the electronic device to refine the one or more target sources based on the metadata. The method may include receiving, from the electronic device, a processed audio signal associated with at least one refined target source.

Abstract: Provided is a system and method for managing speaker damage in an electronic device. The method includes: extracting a plurality of audio feature signatures from a plurality of audio signals, wherein the plurality of audio feature signatures are extracted prior to a playback of the plurality of audio signals by the electronic device; identifying a regular microspeaker distortion and an irregular microspeaker distortion from the plurality of audio feature signatures, wherein the regular microspeaker distortion and the irregular microspeaker distortion are capable of causing one or more damageable or audibly distorted audio movements associated with one or more membranes of a speaker of the electronic device if output by the speaker; and generating a corrected audio signal for the playback by filtering the regular and the irregular microspeaker distortions from the plurality of audio feature signatures.

Abstract: For respective instances, noise factors of a vehicle tire are detected. The noise factors include a tire pressure, a load, and a tire speed. For the respective instances, respective radii of the vehicle tire are determined. The respective radii are grouped based on respective discrete sets of noise factors. A transition instance of a health condition for the vehicle tire is estimated based on extrapolating the respective grouped radii.

Abstract: A method and systems for generating interpretable and embeddings for a domain-specific small corpus of text-based documents are described. A processing module may obtain the plurality of text-based documents and perform a basic cleaning of each of the plurality of text-based documents. Further, the semantic infusion module may generate the semantically infused corpus using the semantic infusion technique. An embedding generation module is configured to compute the optimal dimensionality for the infused corpus and generate the infused optimal dimensional embeddings using word2vec technique. Further, the embedding generation module is configured to generate baseline optimal dimensional embeddings which can be used to evaluate in terms of interpretability and downstream classification task performance.

Abstract: A method for detecting semantic trends within the categorical datasets from text-based documents includes using a processing module to obtain the plurality of text-based documents and perform a basic cleaning of each of the plurality of text-based documents. A semantic infusion module may generate an infused sentence in each of the plurality of text-based documents by inserting a word “A_class (Ci)_time (Tj)” based on a computed infusion frequency value (Ifreq). A pattern generation module is configured to generate semantic trends by extracting the trending items from the word vector representation created by a word vector module, for each word of each infused sentence of each of the plurality of text-based documents.

Abstract: Systems and methods implemented by a user device include receiving a request, from an application executed on the user device, to identify a network path for a destination; determining the network path to the destination including ports, addresses, and inline proxies; and providing details of the network path to the application.

Abstract: A method involves extracting, from a file comprising an unstructured oilfield document, terms, calculating term frequency inverse document frequency (TF-IDF) of the terms to generate an input vector, execute a document content classification model on the input vector to generate a document content classification of unstructured oilfield document, and extract table information from a table in the unstructured oilfield document. The method further involves storing, with the file in storage, the document content classification and the table information.

Abstract: An anti-abuse scanning system and method for an application deployment platform is provided. In some examples, when a provider submits a new application package, a scan scheduler periodically polls for and detects the new submission. An anti-abuse scan service parses the installer script to determine dependencies between a primary application source code scan, and secondary container image scans. The primary and secondary scans are queued by writing records to status tables. A scan manager polls the tables, detects pending scans, and invokes scanner services to analyze the application files and container images based on configured rules. An image service extracts and uploads container images. The anti-abuse scan service aggregates the primary and secondary scan results to determine an overall verdict for the application package. In some examples, the verdict can be an automatic approval, automatic rejection, or trigger a manual review.

Abstract: An example method of allocating channels to access points (AP) is presented. A network manager may determine weights of the APs based on a channel metric and a location metric for APs. Further, the network manager may identify a first set of APs based on the weights and allocate a dedicated first channel to each of the first set of APs for its sole use. Accordingly, each of the first set of APs may use a respective dedicated first channel thereby reducing the performance impact on other APs. Further, the network manager may identify a second set of APs based on the weights and allocate second channels for sharing among the second set of APs. Since the second set of APs does not share any channel with the first set of APs, the performance of the second set of APs may not be impacted due to the first set of APs.

Abstract: A data platform having an anti-abuse analysis pipeline is provided. The anti-abuse analysis pipeline detects an image referenced in an application package and schedules an application scan to scan application source files and generate application scan results. The anti-abuse analysis pipeline also schedules an image scan to scan the image and generate image scan results. The anti-abuse analysis pipeline extracts application source files from the application package and executes an application scan using the extracted application source files to generate application scan results. The anti-abuse analysis pipeline extracts artifacts from the referenced image and executes an image scan using the artifacts to generate image scan results. The anti-abuse analysis pipeline determines a completion of the application scan and the image scan and generates a scan result using the application scan results and image scan results.

Abstract: An anti-abuse system is provided for a data-platform. An anti-abuse scanner of the data-platform detects a creation of an application package by a provider of content to the data platform where the application package includes a set of files for deployment on the data platform. The anti-abuse scanner performs a review o the set of files to detect malicious content where the review is based on a set of analysis rules and generates a deployment decision for the application package based on a result of the review.

Abstract: A set of AP radios in a wireless network deployment for which configurations are to be deployed is identified. Those configurations deemed to be likely to cause a coverage hole are flagged as high-risk. A candidate deployment order for deploying configurations to the set of AP radios is determined based on deployment ordering criteria. The ordered APs are grouped into candidate deployment batches and a batch refinement process is performed to ensure that no neighbor AP radio is in a same deployment batch as an AP designated to receive a high-risk configuration deployment. The configurations are then deployed to the AP radios in accordance with the refined deployment batches. For any candidate deployment batch that includes a flagged AP radio and a neighbor AP radio, one of the radios is removed from the deployment batch and placed in a re-order list, which is separately subjected to ordering and batching processes.

Abstract: A method of determining data model for use in predicting a state of a user based on collected biometric data collected via a sensor platform, the method comprising receiving from sensors of the sensor platform a plurality of the biometric data; extracting a plurality of representative features from the plurality of biometric data; receiving a plurality of user affect parameters associated with the plurality of representative features; correlating the plurality of user affect parameters with the plurality of representative features to determine a set of representative feature-affect pairings for the data model as a plurality of model data parameters; and storing the data model for subsequent use in determining the real time state of the user.

Abstract: Systems and techniques for time-series forecasting are illustrated. One embodiment includes a method for refining time-series forecasts, the method obtains timestep information including baseline information, a time gap, and context information. The baseline information includes information known about the system at a time when the multivariate time-series is generated. The context information includes at least one vector of time-independent background variables related to the system. The method determines, based on the timestep information, parameter predictions for the system at a first timestep and a second timestep. The method derives actual state values for the system at the first timestep. The method updates the parameter predictions for the system at the second timestep, using a gating function, based on a discrepancy between: the parameter predictions for the system at the first timestep, and the actual state values for the system at the first timestep.

Abstract: A dataset is received from a data source. A first plurality of string similarities between metadata of the dataset with a plurality of attributes of a plurality of data classes in a target schema are calculated to determine a data class. A set of relationships are assigned to the data class based on relationships between the plurality of data classes in the target schema. A second plurality of string similarities between a plurality of attributes of the dataset and a plurality of attributes of the data class are calculated. Datatypes and measurement units are assigned to the plurality of attributes of the dataset according to the second plurality of string similarities. A source schema is generated based on the data class, the set of relationships, the plurality of attributes of the data class and the measurement units.

Abstract: A method includes obtaining a digital seismic file, performing autodetection of parameters of the digital seismic file, and registering the parameters of the digital seismic file with the digital seismic file. Performing autodetection comprises a computer processor, repetitively until a candidate template successfully extracts the parameters, selecting a target candidate template, attempting extraction of a binary header using the target candidate template, attempting extraction of a trace header using the target candidate template, attempting extraction of the plurality of parameters when the target candidate template extracts the binary header and the trace header, and moving to a next target candidate template when extraction of the plurality of headers is unsuccessful.

Abstract: Techniques for processing web probes for monitoring user experience including use of caching to prevent a surge of web probes on destination servers and for detecting web probe traffic. A method implemented by a connector includes intercepting a Hypertext Transfer Protocol Secure (HTTPS) web probe request to a server, identifying a cache hit associated with the request in a cache, generating a synthetic Hypertext Transfer Protocol (HTTP) response based on information from the identified cache hit, wherein the generated synthetic HTTP response includes an extension header containing collected statistics, and sending the synthetic HTTP response. The method can further include simulating a Secure Socket Layer (SSL) handshake to estimate SSL cost.

Abstract: A set of AP radios to which configurations are to be deployed is identified. A candidate deployment order for deploying configurations to the set of AP radios is determined by an order-deploy algorithm. The algorithm seeks to spread out configuration deployments to AP radios both spatially and temporally such that APs that are located close to one another in the network receive their configuration updates as part of different deployment batches with delay periods introduced between consecutive batch deployments. The algorithm orders the set of APs by iterating through a network factor hierarchy to place APs that share certain network factors such as the same band or channel close to one another in the candidate deployment order and place APs that share certain other network factors (e.g., same switch, RF domain, and/or RF partition) far from one another in the order.