Abstract: Systems and methods herein describe a network system for federated searching. The systems and methods receive a search query, transmit the search query to search providers, receive search results corresponding to the search query, extract metadata from each search result, generate matched groupings comprising a first search results that have matching metadata, generate a ranked list of the matched groupings and a plurality of relevance scores, identify a second subset of search results based on the ranked list of matched groupings, and cause display of the second subset of search results on a graphical user interface of a computing device.

Abstract: The present disclosure provides a leak test device, including: a test platform, the test platform being configured to carry and place a polishing head to be tested for leak, the polishing head being divided into one or more independent partitions, each of the partitions having a chamber correspondingly, and each chamber having vents correspondingly; an upper cover for sealing the chambers, the upper cover being located on the side of the chambers away from the test platform; and a movable device, the movable device being movable on a surface parallel to the test platform, movable in a direction perpendicular to the test platform, and also adapted to apply pressure on the upper cover so that the upper cover seals the chambers.

Abstract: A smart temperature control system is disclosed. The smart temperature control system includes processing circuitry and a temperature control device. The temperature control device includes a container configured to store a product and temperature control hardware configured to control a temperature within the container. The processing circuitry includes one or more processors configured to monitor the temperature cycles within the container, determine a duration of at least portions of each temperature cycle over a time period, determine a selected time value based on the duration of the portions of each temperature cycle, and update a time limit variable with the selected time value.

Abstract: A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computed programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.

Abstract: Method and apparatus for compressing raw event logs into smaller readable formats are described. An example includes receiving an uncompressed log file including traces of events executed on a computing system. In the uncompressed log file, a number of consecutive events are identified referencing an action performed with different parameters, and the uncompressed log file is modified by replacing the identified consecutive events with a record indicating that an event has been repeated the number of times. In the modified log file, repeated sequences of events are identified, a compressed log file is generated by replacing, in the modified log file, repeated sequences of events with a record referencing an initial repetition of events and a difference between parameters included in the initial repetition of events and a respective repeated sequence, and the generated compressed log file is output.

Abstract: An autonomous mobile device (AMD) may perform tasks within a physical space. The AMD may move over ramps, bumps, or navigate around obstacles. The AMD may have an inertial measurement unit (IMU) and distance sensors. The IMU provides tilt information indicative of the AMD being on a flat surface or a ramp. The distance sensors provide information on distances between the AMD and surrounding obstacles. Using IMU measurements, the AMD determines a first speed limit that is safe given the tilt of the AMD. Using the distance sensors, the AMD determines a second speed limit that is safe given a distance to an obstacle. The AMD determines a maximum speed based on the first and second speed limits. Based on the maximum speed, the AMD determines whether to adjust a current speed and by how much.

Abstract: Methods, systems, and computer-readable media for a scalable architecture for a distributed time-series database are disclosed. Using a fleet of ingestion routers, time-series data generated by a plurality of client devices is stored into a plurality of durable partitions. The time-series data comprises a plurality of time series, and an amount of the ingestion routers is determined based at least in part on an ingestion rate of the time-series data. Using a fleet of stream processors, the time-series data from the durable partitions is stored into a plurality of storage tiers including a first storage tier and a second storage tier. A retention period for the first storage tier differs from a retention period for the second storage tier. An amount of the stream processors is determined based at least in part on the time-series data in the durable partitions.

Abstract: The present application relates to a dispatch method for a production line in a semiconductor process, a storage medium and a semiconductor device. The dispatch method for a production line in a semiconductor process can acquire an overlay error reference curve of a product lot to be exposed in equipment and set an overlay error range according to the overlay error reference curve. At the end of exposure, an overlay error for the product lot to be exposed can be acquired, and it can be determined whether the overlay error falls into the overlay error range. If the overlay error for the product lot to be exposed does not fall into the overlay error range, the product lot to be exposed can be continuously machined by this equipment.

Abstract: A data pipeline system includes a binary data extractor to receive a data portion identifier, extract a portion of a binary data item based on the data portion identifier; and output the portion of the binary data item. A data iterator provides a first data portion identifier to the binary data extractor, receives, from the binary data extractor, a first portion of the binary data item, determines a second data portion identifier, provides the second data portion identifier to the binary data extractor, receives, from the binary data extractor, a second portion of the binary data item, and outputs the second portion of the binary data item. A data converter receives, from the data iterator, the second portion of the binary data item; and transforms, based on a data format specification, at least the second portion of the binary data item for processing by components of the data pipeline system.

Abstract: Various switchable devices, e.g., cellular telephones, including inductive antennas are disclosed. These switchable devices may include one or more switches and a biometric sensor. Some of these one or more switches are optionally wireless and/or manual. In various embodiments, the switchable devices include are included within cellular phones, security devices, identity devices, financial devices, remote controls, and the like. The switchable devices are optionally configured to perform financial transactions.

Abstract: The present disclosure provides methods for determining a focus spot window of a wafer and judging whether the wafer needs to be reworked, belonging to the field of semiconductor technology. The method for determining a focus spot window of a wafer includes: acquiring flatness information and location information of a local region of the wafer before exposure; acquiring distribution information of abnormal dies, process information corresponding to the abnormal dies, and data information related to wafer yield; and determining the focus spot window corresponding to a process according to the flatness information and the location information of the local region of the wafer, the distribution information of the abnormal dies, the process information corresponding to the abnormal dies, and the data information related to wafer yield.

Abstract: Various embodiments of apparatuses and methods for an automated machine learning pipeline service and an automated machine learning pipeline generator are described. In some embodiments, the service receives a request from a user to generate a machine learning solution, as well as a dataset that comprises values with different user variable types, and mapping of the user variable types to pre-defined types. The generator can validate the dataset, enrich the values of the dataset using external data sources, transform values of the dataset based on the pre-defined types, train a machine learning model using the enriched and transformed values, and compose an executable package, comprising enrichment recipes, transformation recipes, and the trained machine learning model, that generates scores for other data when executed. The service can further test the executable package using testing data, and provide results of the test to the user.

Abstract: Techniques for disambiguating which profile, of multiple profiles, is to be used to respond to a user input are described. A device located in a communal space (e.g., a hotel room or suite of rooms, conference room, hospital room, etc.) may be associated with a device profile and a user profile of a user presently occupying the communal space. When the user inputs a command to the device (either by text or speech), a system associated with the device determines the profiles (e.g., a device profile and a user profile) associated with the device. The system determines one or more policies associated with the device. The one or more policies may correspond to rules for disambiguating which profile to use to execute with respect to the user input. Using the one or more policies, the system determines which profile is to be used, and causes a speechlet component to execute using information specific to the determined profile.

Abstract: An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.

Abstract: A system for drilling a well may be adapted to process signals received from a fiber optic cable located in the casing of a previously drilled well or wells. The fiber optic cable may act as a distributed sensor receiving acoustic signals generated during the drilling of the well, and the system may be programmed to process the signals from the fiber optic cable to locate the borehole of the well being drilled, including its location relative to the previously drilled well or well. The system may be used to automatically update a well plan for the well being drilled responsive to information about the location of the borehole and also may be used to automatically adjust one or more drilling parameters or drilling operations responsive to the location of the second well borehole.

Abstract: Systems and methods for generating an interactive user interface data for validating one or more contacts and/or updating actions for an individual. In some embodiments, an interactive user interface can be generated including a first portion including a selectable list of primary contact information items associated with the individual and a second portion including a selectable list of secondary contact information items associated with the individual. After receiving a first user input in the second portion selecting a secondary contact information item, the interactive user interface can be updated to receive further user inputs, such as a new primary contact information item. The interactive user interface can then be updated to include the new primary contact information item in the first portion.

Abstract: An approach for rule engine, filtering, and rule management is described herein. A computing device can access a rule graph that represents rule sets and includes nodes connected by edges. The computing device can receive record data associated with a record and determine at least one of the rule sets that matches the record by at least traversing the rule graph using the record data. The computing device can generate rule information based on the at least one rule set and associate the rule information with the record.

Abstract: A technique for remote direct memory access (RDMA) may include receiving a packet that was sent over a network, and determining the packet has metadata used for queue selection. The technique may also include selecting a queue based on the metadata, and writing the data of the packet to an application memory using the datapath associated with the selected queue. Amended metadata can be generated to indicate that the data has been written to the application memory, and the amended metadata can be stored in a software accessible buffer.

Abstract: The present disclosure relates to the technical field of system-level memory test, and in particular, to a memory allocation method and apparatus, an electronic device, and a computer-readable storage medium.

Abstract: An apparatus and method are disclosed. The method, which may be performed by one or more processors, may comprise receiving timestamp data representing a plurality of database transactions and dividing the timestamp data into a plurality of partitioning quanta (nPQ), each partitioning quantum (PQ) of the plurality of partitioning quanta representing a range of timestamps. Further, for each partitioning quantum (PQ) of the plurality of partitioning quanta (nPQ), the method may comprise allocating the timestamp data, such that sequentially adjacent timestamps are allocated to different partitions of a physical storage system for subsequent storage at the allocated partitions.