Abstract: Disclosed is an Augmented Reality (AR) optical waveguide. The AR optical waveguide includes a transparent substrate including a user proximate surface and a user distal surface. The AR optical waveguide also includes a slant etched diffractive grating included on the user distal surface of the transparent substrate. The slant etched diffractive grating includes a refractive index of greater than or equal to 2.0.

Abstract: An apparatus and method for expanded cohort application of machine-learning classifier methods based on a seed data set. The apparatus comprises at least a processor configured to receive at least a labeled seed set, train an embedding model based on the seed data, determine a plurality of vector representations for both the seed set and the target data, identify commonalities between the seed vector representation and the target vector, and provide the vector training data to a supervised machine-learning application for subsequent classifications.

Abstract: According to one embodiment, a method, computer system, and computer program product for static balancing of a cargo transport through digital twin simulation is provided. The embodiment may include capturing a plurality of property data related to a transport. The embodiment may further include capturing a plurality of property data related to a plurality of cargo items. The embodiment may also include generating a digital twin simulation of the transport and each cargo item. The embodiment may further include generating a loading plan of each cargo item onto the transport based on the generated digital twin simulation.

Abstract: According to one aspect, an adaptive driving style system may include a set of two or more sensors, a memory, and a processor. The set of two or more sensors may receive two or more sensor signals. The memory may store one or more instructions. The processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, or steps, including training a trust model using two or more of the sensor signals as input, training a preference model using the trust model and two or more of the sensor signals as input, and generating a driving style preference based on an adaptive driving style model including the trust model and the preference model.

Abstract: Embodiments herein describe techniques for a semiconductor device including a substrate. A first capacitor includes a first top plate and a first bottom plate above the substrate. The first top plate is coupled to a first metal electrode within an inter-level dielectric (ILD) layer to access the first capacitor. A second capacitor includes a second top plate and a second bottom plate, where the second top plate is coupled to a second metal electrode within the ILD layer to access the second capacitor. The second metal electrode is disjoint from the first metal electrode. The first capacitor is accessed through the first metal electrode without accessing the second capacitor through the second metal electrode. Other embodiments may be described and/or claimed.

Abstract: An embodiment for decontaminating transportation vehicles is provided. The embodiment may include receiving GPS data and real-time and historical data relating to contamination. The embodiment may also include identifying a route and location of the transportation vehicle. The embodiment may further include predicting one or more target areas to decontaminate. The embodiment may also include placing one or more decontamination devices at the target areas. The embodiment may further include identifying one or more parts of the transportation vehicle requiring decontamination. The embodiment may also include in response to determining at least one type of contamination is airborne, activating the one or more decontamination devices to increase air pressure inside the transportation vehicle and releasing the air pressure when a door is opened.

Abstract: An interactive voice response system is provided that includes an interactive voice recognition module, an image collection module, and a data extraction module. The image collection module communicates with the voice recognition module and the user device. The extraction module communicates with the image collection module. The voice recognition module collects speech data from a user of the user device and provides an indication to the image collection module when the speech data includes complex data. The image collection module, in response to the indication, communicates with the user device in a text message. The text message includes a link that, when activated, opens a camera on the user device. The image collection module, in response to receiving an image having the complex data from the camera, communicates the image to the extraction module, which extracts the complex data from the image as textual data.

Abstract: An apparatus may include a database and a processor in communication with at least one network. The processor may be configured to instantiate an application stack comprising a data missing detector, a data source router, and a response handler. The data missing detector may be configured to receive a request for data and determine whether the data is available from the database. The data source router may be configured to identify an alternate database from which to obtain the data when the data is not available from the database and route the request for data through the at least one network to an alternate processor associated with the alternate database. The response handler may be configured identify responsive data to a routed response received from another processor in the database and send the responsive data to a requesting device. Multiple apparatuses may form a distributed system.

Abstract: Distributed data sampling, including: receiving a sampling target; generating, based on one or more sensors, sampled data; determining, based on the sampling target, a value for the sampled data; and determining, based on the value for the sampled data, whether to provide the sampled data to a remotely disposed computing device.

Abstract: A method for enhancing optical properties of sintered, zirconia ceramic bodies and zirconia ceramic dental restorations is provided. The porous or pre-sintered stage of a ceramic body is treated with two different yttrium-containing compositions and sintered, resulting in sintered ceramic bodies having enhanced optical properties. The enhanced optical properties may be substantially permanent, remaining for the useful life of the sintered ceramic body.

Abstract: A ceramic body is provided that is suitable for use in dental applications to provide a natural aesthetic appearance. A colorized ceramic body is formed that has at least one color region and a color gradient region. A ceramic body is formed having at least two color regions and a color gradient that forms a transition region between two color regions. A method for making the colorized ceramic body includes unidirectional infiltration of a coloring composition into the ceramic body.

Abstract: A construction laser level including a housing, a laser mount disposed in the housing and at least one laser generator on the laser mount. The laser mount includes a plurality of heat dissipating fins.

Abstract: Methods and systems use a second dataset comprising independently validated data based on labeled blockchain operations previously processed through the blockchain network. The use of the second dataset in conjunction with the dataset comprising labeled blockchain characteristics data received from a plurality of sources provides a comprehensive input for a machine learning model to identify and label suspicious blockchain operations. By doing so, the system mitigates fraudulent, criminal, or suspicious transactions. For example, the system may send an alert to a user if a behavior type is deemed a high risk by the machine learning model; the system may furthermore hold the funds associated with the blockchain operation in a separate account while the transaction is manually reviewed.

Abstract: Embodiments classify a product to a product category. Embodiments receive a textual description of the product and create an index of product categories. Embodiments use a plurality of classifiers to classify the textual description to one of the product categories, the classifiers including an index based classifier, an encyclopedia based classifier, a Bayes' rule based classifier, and an embeddings classifier.

Abstract: Systems and methods for adjusting yield values for crops based on scan data associated with the crops are provided. One example computer-implemented method includes initially classifying data points of a composite data set into one of a ground class and a vegetation class. The method also includes determining a canopy height model (CHM) for the plot based on the classified composite data set, where the CHM includes at least one of the data points classified in the vegetation class, and computing a plant height for the plot based on the CHM. The method further includes determining a neighboring plant height difference based on the plant height for the plot and a plant height for each of at least one neighboring plot to said plot, computing a yield adjustment based on the determined neighboring plant height difference(s), and determining a plot yield for the plot, based on the yield adjustment.

Abstract: A user equipment (UE) is configured to be connected to a 5G New Radio (NR) network that shares one or more frequency bands using dynamic spectrum sharing (DSS) with a Long Term Evolution (LTE) network that is transmitting LTE positioning reference signal (PRS). The UE may receive LTE PRS rate matching information from the NR network, such as the LTE PRS configuration data or an LTE PRS rate matching pattern. The UE may decode and process NR data signals and control signals transmitted by the NR network while LTE PRS is transmitted by rate matching around the LTE PRS in accordance with the LTE PRS rate matching information. The LTE PRS muting pattern may be adjusted based on NR data or control signals, and the UE may receive and process NR data and control signals transmitted while the LTE PRS is muted.

Abstract: A vehicle power module assembly including first and second power modules is provided. The first power module may include a first lock feature extending from a lower portion of a first minor side at a first central axis. The second power module may include a second lock feature at an upper portion of a second minor side at a second central axis. The lock features may be sized for interlock with one another to secure the power modules to one another. The first lock feature may be a loop element defining a through-hole and the second lock feature may be a wedge. The through-hole may be sized for the wedge to extend therein and to interlock the first power module and the second power module to one another. The first lock feature may be a flexible hook element and the second lock feature may be a slot.

Abstract: Methods, apparatus, systems and articles of manufacture to provide a custom installable open virtualization application file for on-premise installation via the cloud are disclosed. Example instructions cause one or more processors to determine a sizing factor based on a response from a user device; determine customized resource information for an agent in a private cloud network using an inventory count algorithm based on the sizing factor; modify an open virtualization appliance (OVA) file to include the customized resource information, the OVA file being deployed in a public cloud network; and transmit an indication to a location of the modified OVA file to the user device, the location of the modified OVA file being the same location as the OVA file.

Abstract: A tool for dynamically booking, from an autonomous transportation vehicle, a secondary transportation vehicle. The tool identifies a route for the autonomous transportation vehicle transporting one or more products from a first location to a second location. The tool publishes the one or more products online as available for purchase. The tool identifies a customer order for the one or more products. The tool requests a secondary transportation vehicle to deliver the one or more products to fulfill the customer order. The tool instructs the secondary transportation vehicle to retrieve the one or more products to fulfill the customer order from the autonomous transportation vehicle. The tool instructs the secondary transportation vehicle to deliver the one or more products from the autonomous transportation vehicle to a delivery location to fulfill the customer order.

Abstract: Disclosed are various examples for kernel level application data protection. In one example, a security label and a list of permitted applications are received. The security label is utilized to limit access to files that embed the security label. A security label map is written within a kernel layer of the client device. The security label map includes the security label and the list of permitted applications. A secured file is generated by embedding the security label within a file stored on the client device.