Abstract: Example method includes: receiving, by a network device, a connection request to a wireless local area network (WLAN) from a client device; determining, by the network device, that the client device is associated with a particular role indicating that the client device is stolen; and performing, by the network device, a set of special handling operations that facilitates maintaining an active connection between the client device and the WLAN, collecting and reporting information about the client device to an investigation agency.

Abstract: This disclosure relates generally to facilitating product evaluation and use, and more particularly to method and system for interactively engaging a user of a vehicle to facilitate vehicle evaluation and use. In one embodiment, a method for interactively engaging a user of a vehicle is disclosed. The method may include generating a persona of the user using information associated with the user and information in context of the vehicle, obtaining a plurality of real-time parameters associated with the vehicle as the vehicle is being driven by the user, dynamically modelling a two-way conversation model based on the persona of the user and the plurality of real-time parameters associated with the vehicle, and engaging the user in a two-way conversation using the two-way conversation model to provide personalized information about the vehicle in real-time.

Abstract: In some embodiments, a method can comprise retrieving an inventory layout of a facility and determining multiple pick lists at the facility. A first pick list for a first user and a second pick list of a second user each comprise a first common item. Receiving a first indication from the first mobile device that the first common item is not available at the facility. Analyzing a first set of rules of a substitute system to locate a first substitute item that is within a first predetermined percentage of a size of the first common item. After analyzing the first set of rules, automatically sending instructions to transfer the first route and the first pick list to the first mobile device.

Abstract: Methods, systems, and computer-readable media for identifying potential process failure in a robotic process automation (RPA) platform, actions can include providing a predictive model based on application records of processes executed in the RPA platform, receiving data representative of a process being executed by a bot within the RPA platform, determining a prediction indicating a likelihood of failure of the process, and selectively issuing an alert in response to the prediction.

Abstract: A system for determining the resistance of peripheral vasculature including a sensor configured to generate output signals proportional to the amount of blood in the peripheral vasculature over time, and a computer subsystem configured to determine the resistance of the peripheral vasculature in response to the output signals.

Abstract: A method of decoding a coherent RGB color barcode captured by a RGB camera includes: displaying a coherent RGB color barcode on the RGB display; capturing an image of the displayed barcode; performing a pilot block RGB color interference cancellation process to estimate a per pixel color interference; applying the per pixel color interference to the image of the displayed coherent RGB color barcode to extract each separate barcode of the coherent RGB color barcode; binarizing each of the three separate monochrome grey images of each barcode of the coherent RGB color barcode; and decoding each of the three separate binarized monochrome grey images to provide a decoded data for each barcode of the coherent RGB color barcode displayed on the RGB display. A method of decoding an incoherent RGB color barcode captured by a mobile device RGB camera is also described.

Abstract: Embodiments described herein provide systems and method for implementing privacy control in a co-browsing environment. In a particular embodiment, a method provides receiving an instruction in a co-browsing server to initiate a co-browsing session for a website with a first client and a second client. The method further provides receiving first privacy settings from the first client, wherein the first privacy settings indicate how the website should be presented at the second client. The method further provides presenting the website at the first client and presenting the website at the second client based on the first privacy settings.

Abstract: A computing resource service provider may provide customers with access to various services provided by a set of service endpoints. During certain intervals of time increased network traffic may cause an increase in the consumption of computing resources of the set of service endpoints. A throttling trigger may be detected that may cause one or more routing devices to reroute network traffic to one or more lower tier routing devices. The lower tier routing devices may maintain throttling information and forward network traffic to the set of service endpoints.

Abstract: In one embodiment, detection of failures in a network device can be achieved by obtaining a last hop of partial traceroutes. For example, the last hops of the partial traceroutes detected in a time period can be sorted by frequency of occurrence. Multiple clusters can be generated, one with last hops that are most frequent and at least one other with the last hops that are less frequent. The hop with the highest frequency and the last hop with the second highest frequency can be compared. If the last hop with the highest frequency exceeds the second highest frequency by a predetermined amount, then the last hop with the highest frequency is alarmable.

Abstract: Generating a contributor-based power abstract for a device, including: identifying a clock power component for each of a plurality of clock gating domains, identifying a switching characteristic for each of the clock gating domains, combining the switching characteristics for all of the clock gating domains into a domain combination list, performing a per-case simulation based at least on the domain combination list, calculating an effective capacitance for each of the clock gating domains based at least on the per-case simulation, and generating a power abstract for each of the clock gating domains based at least on the effective capacitance.

Abstract: A corrosion inhibitor for use in aqueous fluids, e.g. brine, which contact a metal surface, contains a blend or cross-linked reaction product of a main chain type polybenzoxazine (MCTPB) and a chitosan component selected from the group consisting of chitosan, chitosan glycol, and combinations thereof. The MCTPB can be made by reacting formaldehyde, bisphenol A, and tetraethylenepentamine (TEPA). The corrosion inhibitor may contain a small amount of an inorganic acid and/or an organic acid.

Abstract: A process for preparing a diglycidyl ether of formula (1) to (9) with epichlorohydrin and a catalyst, for a time and at a temperature to provide a first reaction mixture comprising a dichlorohydrin of formula (1-d) to (9-d); adding a base to the first reaction mixture to provide a second reaction mixture over a period of 15 minutes to 3 hours; and agitating the second reaction mixture for 2 to 5 hours at 40 to 60° C., to provide an as-synthesized diglycidyl ether of formula (1) to (9) having a purity of 96 to 99% or greater as determined by high performance liquid chromatography is provided. An as-synthesized or isolated diglycidyl ether of formula (1) to (9) made by the provided process is provided. A cured composition comprising the cured product of the provided diglycidyl ether, and an article comprising the same are provided.

Abstract: A device receives images of a video stream, models for objects in the images, and physical property data for the objects, and maps the models and the physical property data to the objects in the images to generate augmented data sequences. The device applies different physical properties to the objects in the augmented data sequences to generate augmented data sequences with different applied physical properties, and trains a machine learning (ML) model based on the images to generate a first trained ML model. The device trains the ML model, based on the augmented data sequences with the different applied physical properties, to generate a second trained ML model, and compares the first trained ML model and the second trained ML model. The device determines whether the second trained ML model is optimized based on the comparison, and provides the second trained ML model when optimized.

Abstract: A system is provided including a memory in communication with a processor. The memory is to store a schema data structure. The processor is to store in association with one another in the schema data structure: a table identifier for a data table, a column identifier for a column of the data table, and a column position for the column. The processor is also to generate a data type based on data type information associated with the column. In addition, the processor is to store the data type in the schema data structure in association with the table identifier, the column identifier, and the column position, and to output the schema data structure.

Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: A system and methods are described for calibrating one sensor with respect to another. A method includes: determining a depth-motion vector using a first sensor; determining an optical-motion vector using a second sensor; and calibrating the first sensor with respect to the second sensor by minimizing a cost function that evaluates a distance between the depth-motion and optical-motion vectors.

Abstract: A device receives, from a virtual assistant device, a first user input associated with a first account of a user, and causes a natural language processing analysis to be performed on the first user input to identify first information, the first account, and a first operation to be performed in association with first information in the first account. The device identifies a first data management platform, associated with the first account, that is configured to maintain the first information in a first data structure associated with the first data management platform, and determines that the first data management platform is a first type of data management platform based on the first data structure. The device causes the first operation to be performed using a RPA, that uses a user interface of the first data management platform, based on the first data management platform being the first type of data management platform.

Abstract: Various embodiments mitigate the risk of frequency-lock in systems having multiple resonators by dynamically changing the frequency at which at least one of the resonators is driven. More particularly, the drive frequency of at least one of the resonators is changed often enough that the multiple resonators do not have time to achieve frequency lock. Changes in the oscillation of the resonators may be analyzed to determine, for example, acceleration of such systems. Some embodiments implement self-test by assessing expected performance of a system with toggling drive frequencies. More particularly, some embodiments implement self-test by artificially inducing displacement of a movable member of a system.

Abstract: Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.