Abstract: Systems and methods for distributed ledger-based collateral movement are disclosed. According to an embodiment, a method for distributed ledger-based collateral movement may include: (1) receiving, at a first collateral custodian computer system for a collateral custodian and from a client of the first collateral custodian, a collateral asset for a target asset held by a client of a second collateral custodian; and (2) tokenizing the collateral asset and writing a collateral token to a distributed ledger platform. The second collateral custodian receives, from the distributed ledger platform, the collateral token and releases the target asset to the first collateral custodian in response to receiving the collateral token.

Abstract: Systems and methods for distributed ledger-based collateral movement are disclosed. According to an embodiment, a method for distributed ledger-based collateral movement may include: (1) receiving, at a first collateral custodian computer system for a collateral custodian and from a client of the first collateral custodian, a collateral asset for a target asset held by a client of a second collateral custodian; and (2) tokenizing the collateral asset and writing a collateral token to a distributed ledger platform. The second collateral custodian receives, from the distributed ledger platform, the collateral token and releases the target asset to the first collateral custodian in response to receiving the collateral token.

Abstract: Method for detecting anomalous data in a manufacturing line or live sensing application. The method includes computing a projection of new incoming data on a trained model and identifying potential anomalies by comparing a window for the incoming data to normal representation criteria based upon user-specified thresholds. The trained model is created by applying hoteling T2 statistics and Q-residual to clean up outliers from an historic time interval of data and calculating principal components of the data and choosing a subset of components which represent a variability in the data. A model deployment pipeline is generated from the trained model and which is capable of deploying machine learning or statistical models to an edge and cloud infrastructure associated with the manufacturing line or live sensing application.

Abstract: Disclosed are a test instrument and testing methods for audibly providing signal metrics (such as signal strength and/or signal quality) of fifth-generation network (5G) beams to assist installation of 5G Customer Premises Equipment (CPE) antenna at a premises. A test instrument may obtain signal metrics and provide audio output based on the signal metrics at various locations of the premises. The audio output may be transmitted to a headphone device worn by a user or a speaker. In this manner, the user may select an appropriate location on the premises at which to install the 5G CPE antenna via audible queues that are based on the measured signal metric at a given location. The test instrument may provide fine-tuning capabilities by also audibly providing directional information that indicates where the 5G CPE antenna should be pointed or moved to align the 5G CPE antenna to a 5G beam.

Abstract: Described is a controller that provides in-situ state retention using a closed loop global retention clamp. The controller addresses di/dt and reliability constraints using an adaptive scheme where steps with smaller current are quickly changed whereas steps with larger current are changed slowly. The loop controller of a voltage regulator is modified for controlling not only retention Vmin during a low power state (e.g., C1LP), but also to control fast wake up the low power state (e.g., from C1LP and from C6).

Abstract: In some examples, aggregation-based speed testing may include ascertaining, by a test speed analyzer, a test speed that corresponds to a maximum specified data transfer rate for a data transmission link. A test range generator may determine a maximum specified port speed of a test port of a device connected to the data transmission link. The test range generator may determine whether the maximum specified port speed is less than the test speed, and if so, divide the test speed into a plurality of test ranges. A total value of the test ranges may be equal to the test speed. A test performer may perform tests corresponding to the test ranges, and obtain intermediate test results. A test result generator may generate, based on aggregation of the intermediate test results, an aggregated test result that represents an actual speed associated with the data transmission link.

Abstract: A method includes obtaining annotated seed data comprising one or more tags associated with corresponding timing data and a respective label, training a semi supervised learning algorithm (SSLA) using the annotated seed data to form a trained SSL model, executing the trained SSL model using unlabeled time series process data as an input, wherein the unlabeled time series process data includes tags different from the tags of the annotated seed data to output a pre-validation labeled time series process dataset, obtaining output evaluation data associated with the pre-validation labeled time series process dataset, iteratively retraining the trained SSL model using the output evaluation data, determining that the trained SSL model has reached convergence based on the output evaluation data indicating that the trained SSL model outputs validated labeled time series data, and in response to determining that the trained SSL model has reached convergence, deploying the trained SSL model.

Abstract: Disclosed are a test instrument and testing methods for audibly providing signal metrics (such as signal strength and/or signal quality) of fifth-generation network (5G) beams to assist installation of 5G Customer Premises Equipment (CPE) antenna at a premises. A test instrument may obtain signal metrics and provide audio output based on the signal metrics at various locations of the premises. The audio output may be transmitted to a headphone device worn by a user. In this manner, the user may select an appropriate location on the premises at which to install the 5G CPE antenna via audible queues that are based on the measured signal metric at a given location. The test instrument may provide fine-tuning capabilities by also audibly providing directional information that indicates where the 5G CPE antenna should be pointed or moved to align the 5G CPE antenna to a 5G beam.

Abstract: Disclosed are a test instrument and testing methods for audibly providing signal metrics (such as signal strength and/or signal quality) of fifth-generation network (5G) beams to assist installation of 5G Customer Premises Equipment (CPE) antenna at a premises. A test instrument may obtain signal metrics and provide audio output based on the signal metrics at various locations of the premises. The audio output may be transmitted to a headphone device worn by a user. In this manner, the user may select an appropriate location on the premises at which to install the 5G CPE antenna via audible queues that are based on the measured signal metric at a given location. The test instrument may provide fine-tuning capabilities by also audibly providing directional information that indicates where the 5G CPE antenna should be pointed or moved to align the 5G CPE antenna to a 5G beam.

Abstract: In some examples, aggregation-based speed testing may include ascertaining, by a test speed analyzer, a test speed that corresponds to a maximum specified data transfer rate for a data transmission link. A test range generator may determine a maximum specified port speed of a test port of a device connected to the data transmission link. The test range generator may determine whether the maximum specified port speed is less than the test speed, and if so, divide the test speed into a plurality of test ranges. A total value of the test ranges may be equal to the test speed. A test performer may perform tests corresponding to the test ranges, and obtain intermediate test results. A test result generator may generate, based on aggregation of the intermediate test results, an aggregated test result that represents an actual speed associated with the data transmission link.

Abstract: In some examples, aggregation-based speed testing may include ascertaining, by a test speed analyzer, a test speed that corresponds to a maximum specified data transfer rate for a data transmission link. A test range generator may determine a maximum specified port speed of a test port of a device connected to the data transmission link. The test range generator may determine whether the maximum specified port speed is less than the test speed, and if so, divide the test speed into a plurality of test ranges. A total value of the test ranges may be equal to the test speed. A test performer may perform tests corresponding to the test ranges, and obtain intermediate test results. A test result generator may generate, based on aggregation of the intermediate test results, an aggregated test result that represents an actual speed associated with the data transmission link.

Abstract: An apparatus is provided which comprises: a plurality of devices coupled to an input power supply rail and an output power supply rail; a first circuitry coupled to the plurality of devices, wherein the first circuitry is to turn on or off one or more devices of the plurality according to a control; and a second circuitry coupled to the first circuitry, wherein the second circuitry comprises an all-digital proportional-derivative mechanism to generate the control according to a digital representation of voltage on the output power supply rail.

Abstract: Described is a controller that provides in-situ state retention using a closed loop global retention clamp. The controller addresses di/dt and reliability constraints using an adaptive scheme where steps with smaller current are quickly changed whereas steps with larger current are changed slowly. The loop controller of a voltage regulator is modified for controlling not only retention Vmin during a low power state (e.g., C1LP), but also to control fast wake up the low power state (e.g., from C1LP and from C6).

Abstract: A system of determining a distance between a mobile electronic device and an obstacle in an environment includes an electronic device, and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the electronic device to obtain from a camera of a mobile electronic device one or more images of one or more obstacles in a surrounding environment, and apply a convolution neural network to one or more of the obtained images to generate a one-dimensional array of depth perception estimates. The array includes one or more angle-distance pairs. an angle value of each angle-distance pair represents an angle of one or more of the obstacles relative to the camera. A distance value of each angle-distance pairs represents an estimated distance between the camera and one or more of the obstacles at the corresponding angle of the angle-distance pair.

Abstract: In some examples, aggregation-based speed testing may include ascertaining, by a test speed analyzer, a test speed that corresponds to a maximum specified data transfer rate for a data transmission link. A test range generator may determine a maximum specified port speed of a test port of a device connected to the data transmission link. The test range generator may determine whether the maximum specified port speed is less than the test speed, and if so, divide the test speed into a plurality of test ranges. A total value of the test ranges may be equal to the test speed. A test performer may perform tests corresponding to the test ranges, and obtain intermediate test results. A test result generator may generate, based on aggregation of the intermediate test results, an aggregated test result that represents an actual speed associated with the data transmission link.

Abstract: A storage device includes a controller that is configured to direct the storage device to download an updated firmware image to the storage device. The storage device includes with a pre-existing firmware while the updated firmware image comprises incompatibility correcting functions. The storage device then performs a compatibility check on the updated firmware image, and determines the presence of one or more incompatibilities between the updated firmware image and the pre-existing firmware. In the event of a determined incompatibility between the updated firmware image and the pre-existing firmware, the controller can direct the storage device to begin a transient execution phase wherein at least one of the incompatibility correcting functions is processed upon receipt of a request to updated the downloaded firmware image. The storage device can reset upon completion of the transient code execution phase, loads the updated firmware image, and proceeds to function according to the new firmware.

Abstract: Systems and methods for navigating an environment are provided. A method includes determining a starting location and a destination location in an environment, receiving a graph representation of a map of the environment, determining a plurality of candidate paths from the starting location to the destination location, identifying which of the plurality of candidate paths is a shortest path from the starting point location to the destination object location, selecting the shortest path as a path to navigate from the starting location to the destination location, generating a token comprising one or more instructions for navigating the shortest path, and causing the token to be displayed on a display device of an interactive kiosk, wherein the one or more instructions comprise one or more instructions that cause a mobile electronic device to display a navigation guide for directing a user from the starting location to the destination location.

Abstract: A system of determining a distance between a mobile electronic device and an obstacle in an environment includes an electronic device, and a computer-readable storage medium. The computer-readable storage medium includes one or more programming instructions that, when executed, cause the electronic device to obtain from a camera of a mobile electronic device one or more images of one or more obstacles in a surrounding environment, and apply a convolution neural network to one or more of the obtained images to generate a one-dimensional array of depth perception estimates. The array includes one or more angle-distance pairs. an angle value of each angle-distance pair represents an angle of one or more of the obstacles relative to the camera. A distance value of each angle-distance pairs represents an estimated distance between the camera and one or more of the obstacles at the corresponding angle of the angle-distance pair.

Abstract: Systems and methods for distributed ledger-based collateral movement are disclosed. According to an embodiment, a method for distributed ledger-based collateral movement may include: (1) receiving, at a first collateral custodian computer system for a collateral custodian and from a client of the first collateral custodian, a collateral asset for a target asset held by a client of a second collateral custodian; and (2) tokenizing the collateral asset and writing a collateral token to a distributed ledger platform. The second collateral custodian receives, from the distributed ledger platform, the collateral token and releases the target asset to the first collateral custodian in response to receiving the collateral token.

Abstract: An apparatus, method, and computer readable medium for determination of a drug for manufacture. The apparatus includes processing circuitry configured to receive input data related to one or more drug programs, acquire data from a database, generate one or more models based upon the acquired data from the database, determine, from the one or more models, one or more outputs related to the chronological event, select, based upon the determined one or more outputs, one of the one or more drug programs for manufacture, and transmit, to the manufacturing device via the network, manufacturing information related to the manufacture of the selected one of the one or more drug programs.