Abstract: A system for determining code ancestry. The system includes: a memory; and a processor communicatively coupled to the memory. The processor is configured to perform a method comprising: receiving a source code file; parsing a plurality of functions out of the source code file; generating fuzzy fingerprints from the plurality of functions; and storing the fuzzy fingerprints in a graph database.

Abstract: The present disclosure describes a system and method of developing a search database for automated content curation. The processing arrangement is configured to store a plurality of slides related to one or more fields in the database arrangement, generate a plurality of thumbnails from the stored plurality of slides, extract a plurality of metadata from the plurality of thumbnails, wherein the plurality of metadata are extracted by processing the generated plurality of thumbnails through an optical character reader, store the extracted plurality of metadata into the search database, create an index comprising of associations between the plurality of slides, the plurality of associated metadata and the generated plurality of thumbnails, store the created index in the search database and curate content from the index of the search database based on the one or more search strings.

Abstract: The disclosure features novel lipids and compositions involving the same. Nanoparticle compositions include an ionizable lipid, a phospholipid, a first sterol or a tocopherol, and optionally a second sterol different from the first sterol. Nanoparticle compositions further including therapeutic and/or prophylactics such as RNA are useful in the delivery of therapeutic and/or prophylactics to mammalian cells or organs to, for example, regulate polypeptide, protein, or gene expression.

Abstract: The subject disclosure relates to techniques for detecting an object. A process of the disclosed technology can include steps for receiving three-dimensional (3D) Light Detection and Ranging (LiDAR) data of the object at a first time, generating a first point cloud based on the 3D LiDAR data at the first time, receiving 3D LiDAR data of the object at a second time, generating a second point cloud based on the 3D LiDAR data at the second time, aggregating the first point cloud and the second point cloud to form an aggregated point cloud, and placing a bounding box around the aggregated point cloud. Systems and machine-readable media are also provided.

Abstract: Interconnections for modular die designs are disclosed. In one aspect, a die that is a chiplet is designed and tested for suitability. After approval of the chiplet design, multiple dies or chiplets may be coupled together within a multi-die package to form a package having desired computing capabilities. After assembly, each chiplet is provided a unique identifier, such as by setting a fuse. Based on the unique identifier, each chiplet is made aware of how interfaces to other chiplets are configured so that signals may be routed appropriately. Using modular chiplets in this fashion reduces testing requirements and non-recurring expenses while increasing flexibility for design options.

Abstract: A method of calibrating an electrical machine to determine an angular offset between a motor sensor indicated position and an actual rotor position, including the steps of: supplying electrical current to stator windings; identifying a quadrant of a rotor where a rotor pole is located; approximating a line between a torque value measured at a lower angular boundary of the identified quadrant and a torque value measured at an upper angular boundary of the identified quadrant; and determining an angular offset by locating an angular position where torque exerted by the rotor is zero.

Abstract: A force sensing system for determining if a user input has occurred, the system comprising: an input channel, to receive an input from at least one force sensor; an activity detection stage, to monitor an activity level of the input from the at least one force sensor and, responsive to an activity level which may be indicative of a user input being reached, to generate an indication that an activity has occurred at the force sensor; and an event detection stage to receive said indication, and to determine if a user input has occurred based on the received input from the at least one force sensor.

Abstract: A computer device instantiates a first Transport Layer Security (TLS) endpoint having access to a trusted execution environment (TEE) of the processor; generates in the TEE in an endpoint-specific public-private key pair bound to the first TLS endpoint; generates of attestation data verifying that the endpoint-specific public-private key pair was generated in the TEE and is bound to the first TLS endpoint; and signs the attestation data in the TEE using a TEE private key securely embedded in the processor. The device generates a TEE signature using an endpoint-specific private key of an endpoint-specific public-private key pair; and indicates of the attestation data, an endpoint-specific public key of the endpoint-specific public public-private key pair and the TEE signature to a second TLS endpoint within a TLS handshake message exchange between the first TLS endpoint and the second TLS endpoint.

Abstract: According to examples, a wearable device may include an imaging component, at least one wireless communication component, and a controller. The controller may activate the at least one wireless communication component to perform a wireless scan of at least one radio available to respond to the wireless scan. The controller may also receive, through the at least one wireless communication component, wireless scan data from the at least one radio and may embed the wireless scan data as part of a media metadata. The wireless scan data may be used to determine a location estimate of the at least one radio and thus, the wearable device. The location estimate of the wearable device may also be used to geotag media captured by the wearable device without using a GPS receiver on the wearable device or when a GPS receiver is unable to track a current location.

Abstract: Methods and systems for delivering a tubular implant to a target location in a body lumen, wherein the tubular implant has a delivery length when in a radially collapsed, delivery configuration, and a foreshortened length shorter than the delivery length when in a radially expanded, implanted configuration. Respective markers are provided on a delivery catheter and on the tubular implant which provide a visual indication of the landing location of a foreshortened length of a last proximal portion of the tubular implant prior to implanting the last proximal portion. This allows the clinician to determine if the landing location of the last proximal portion is clinically desirable prior to fully implanting the tubular implant.

Abstract: A method for generating a social graph based on payment data is provided. The method includes extracting, from one or more databases, customer-based information for various entities and previous transaction information conducted by the various entities; generating data nodes for the various entities; determining a score for each of the data nodes with respect to a user based on the extracted customer-based information and the previous transaction information, in which the score indicating a proximity level with the user; generating a relationship model for the various data nodes with respect to the user based on the determined score; and identifying, based on a search performed for an input provided by the user on a user interface, one or more data nodes as potential candidates for conducting a transaction; and providing the potential candidates based on the proximity level with respect to the user.

Abstract: In some examples, a data management and storage (DMS) platform, comprises peer DMS nodes in a node cluster, a distributed data store comprising local and cloud storage, and at least one processor configured to perform operations in a method of creating a local consolidated patch file from a patch file chain stored in the cloud storage. The operations include, in a first dry-run phase, creating a logical patch file image of data blocks in one or more cloud patch files stored in the cloud storage; in a second data-transfer phase, downloading at least some of the data blocks from the cloud patch files identified by the logical patch file image, the second data-transfer phase comprising a coalescing operation to construct a set of coalesced reads of the data blocks; and creating and storing, in the local storage, the local consolidated patch file using the downloaded data blocks.

Abstract: The present invention relates to identifying and/or generating high quality training data. More particularly, the present invention relates to determining a subset of images from a dataset that can be used as substantially high quality training data for the training of movement detection systems. Aspects and/or embodiments seek to provide a system and/or method of generating substantially high quality training data for a security event detection method and/or system using video data from surveillance cameras as input data.

Abstract: An inspection system includes a ground penetrating radar (GPR) sensor configured to provide at least one probe signal to a portion of a structure and to receive at least one return signal resulting from the corresponding at least one probe signal. A processor is programmed to: receive the at least one return signal as scan data from the GPR sensor; generate maximum amplitude trace normalized data based on the scan data; generate temporal signal gain data based on the scan data; generate a power spectral density image for each of the scan data, the maximum amplitude trace normalized data, and the temporal signal gain data; and analyze, using a machine learning processor, the power spectral density images to identify an anomaly of interest, wherein the machine learning processor is trained to detect an anomaly of interest based on a training set of power spectral density images.

Abstract: This document describes scene understanding for cross reality systems using occupancy grids. In one aspect, a method includes recognizing one or more objects in a model of a physical environment generated using images of the physical environment. For each object, a bounding box is fit around the object. An occupancy grid that includes a multiple cells is generated within the bounding box around the object. A value is assigned to each cell of the occupancy grid based on whether the cell includes a portion of the object. An object representation that includes information describing the occupancy grid for the object is generated. The object representations are sent to one or more devices.

Abstract: Sequences for detection of SARS-CoV-2 are provided and include example, SEQ ID NOs:4-8. The sequences are useful for amplifying the SARS-CoV-2 nsp8 gene in a sample, using Reverse Transcriptional Loop-Mediated Isothermal Amplification (RT-LAMP) and it is preferably used in combination with a Cas enzyme/sgRNA pair and a reporter nucleic acid. The disclosed sequences can be use in methods of detecting SARS-CoV-2 nucleic acids in a sample. Generally, the specific gene sequence of SARS-CoV-2 RNA, herein nsp8, is amplified using RT-LAMP. The RT-LAMP products are scanned by the Cas12a-gRNA ribonucleoprotein (RNP) complex. The RNP binds to the specific complementary to gRNA, activating the transcleavage activity of Cas12a. The active Cas12a system cleaves a short ssDNA reporter that is labeled preferably, with a fluorophore and a quencher on either end. Cleavage of the reporter separates the quencher from the fluorophore, and fluorescence that is detectable with the naked eye is generated.

Abstract: A building system including one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to collect building device data of a building device, generate a time correlated data stream for a data point, and generate a time correlated reliability data stream for the data point. The building device data includes a plurality of data samples of the data point. The time correlated data stream includes values of the plurality of data samples of the data point. The time correlated reliability data stream includes a plurality of reliability values time correlated to corresponding values of the plurality of data samples of the data point and indicating reliability of the values of the plurality of data samples of the data point.

Abstract: A method and mobile transceiver with adaptive monitoring are provided. In accordance with one embodiment, there is provided a method of operating a mobile transceiver, comprising: waking up the mobile transceiver from a low power mode in response to a wakeup event; determining a waypoint in a travel itinerary corresponding to the wakeup event, the travel itinerary defining a number of waypoints including an origin endpoint and destination endpoint; and setting one or more subsequent wakeup events based one or a combination of a time of the wakeup event, sensor data at the time of the wakeup event, and the determined waypoint.

Abstract: An ultrasonic welding system is provided. The ultrasonic welding system includes a support structure for supporting a workpiece. The ultrasonic welding system also includes a weld head assembly including an ultrasonic converter carrying a sonotrode. The ultrasonic welding system also includes a z-axis motion system carrying the weld head assembly. The z-axis motion system includes (i) a z-axis forcer for moving the weld head assembly along a z-axis of the ultrasonic welding system, and (ii) a z-axis overtravel mechanism disposed between the z-axis forcer and the weld head assembly.

Abstract: Techniques are described herein for managing transactions between data consumers and data providers using a blockchain. In some embodiments, a blockchain network receive smart contracts that govern access rights to data sets provided by blockchain members and smart contracts that execute blockchain transactions based on the usage of data sets. When a data set is provided to a blockchain member through the blockchain network, usage of the data set may be tracked. Responsive to detecting usage of the data set, one or more smart contracts may execute one or more blockchain transactions within the blockchain network.