Abstract: A method includes obtaining a pre-trained machine learning model and a training embedding snapshot from a remote system, and obtaining one or more input data samples captured by a user device. The method includes, for each particular input data sample of the one or more input data samples, processing, using an on-device machine learning model corresponding to the pre-trained machine learning model, the particular input data sample to generate a corresponding on-device embedding and one or more corresponding predicted outputs, and generating, using the training embedding snapshot and the corresponding on-device embedding, corresponding performance data. The method includes aggregating the corresponding performance data for the one or more input data samples to determine one or more performance metrics for the on-device machine learning model, and transmitting the one or more performance metrics to the remote system.

Abstract: A dynamic characteristic-reflected shoreline evaluation system and a method thereof are proposed. The system may include a data collection processor configured to collect various types of information for shoreline evaluation with respect to an evaluation target region. The system may also include a shoreline evaluation processor configured to determine a shoreline rank by reflecting static characteristics and dynamic characteristics of the evaluation target region on a basis of data collected through the data collection unit. The system may further include an output processor configured to output the various types of information comprising an evaluation result of the shoreline evaluation unit and an overall process and result of the system. The system may further include a communication processor configured to transmit and receive various types of data through wired or wireless communication with an external device. The system may include a controller configured to control an overall operation of the system.

Abstract: The technology disclosed relates to a method for inducing an agent-under-test (AUT) to disclose respective outputs in response to processing a target input probe. An agent sampling logic is configured to analyze respective outputs to determine whether the outputs represent a sample for the target input probe and to also determine a confidence level of the respective outputs being the sample for the target input probe.

Abstract: The technologies discussed herein relate to methods, systems, media, etc., for automatically triggering a user device action based on utilizing one or more ethanol sensor devices. In embodiments, an ethanol sensor device can detect ethanol vapor concentrations and determine whether the concentration is above a threshold. In embodiments, the ethanol sensor device can transmit the detected concentrations to one or more servers, which can cause the user device to initiate an action based on a concentration level that is above the threshold. For example, the server can provide one or more ride hailing services, such that the server initiates the user device action that includes providing, for display on a user interface of the user device, one or more selectable ride hailing transportation options from a location corresponding to the user device. In some embodiments, the server provides services corresponding to physical or mental health.

Abstract: A system monitoring apparatus comprising: a complementing unit that generates complemented node information by complementing, based on a complementing model trained using information collected in a testing system using a monitoring command and an agent, first node information collected in an operated system using the monitoring command; and an estimating unit that estimates the probability of a link being present between nodes by inputting the complemented node information to a link estimating model trained using the information collected in the testing system using the monitoring command and the agent.

Abstract: The present disclosure relates to a method and a system for detecting an object. A method of detecting an object, according to an embodiment of the present disclosure, includes determining whether the object in a region of interest of a (host) vehicle is in a turning state or a straight moving state, determining a location of a reference point for the object based on the determination, extracting first outline points from LiDAR points for the object, which are included in a point cloud received from a LiDAR sensor, based on the reference point, generating at least one virtual point based on a length of a line segment connecting the first outline points, and generating a bounding box of the object corresponding to a heading direction of the object based on second outline points including the first outline points and the at least one virtual point.

Abstract: Described are various embodiments of a system and method for adaptive user experience cycle profiling under anomalous environmental respiratory conditions, such as in hyperbaric or hypobaric environments. In one embodiment, the system comprises an environmental sensor operable to monitor a respiratory environment parameter representative of the anomalous environmental respiratory condition that defines the experience cycle; and a physiological sensor operable to concurrently monitor a physiological parameter representative of the user's cumulative physiological response to the anomalous environmental respiratory condition over time during the experience cycle.

Abstract: Fault diagnosis in industries typically involves identification of key variables/sensors bearing fault signature, classification of detected fault into known fault classes and detecting root causes/sources of the fault. This disclosure relates to a method and system for a deep learning based causal inference in a multivariate time series data of abnormal events and failures in industrial manufacturing processes and equipment. The system generates causal networks for non-linear and non-stationary multivariate time series data. The causal network learns for a dynamic non-stationary and nonlinear complex process or system fault using observed data without any prior process knowledge. The causal networks of faults are identified in real-time using a deep learning-based causal network learning technique.

Abstract: Disclosed is an apparatus including an input interface. The input interface is configured to obtain input sensor data. For example, the input sensor data includes light detection and ranging (LiDAR) data indicative of an environment. The apparatus includes a pre-processor communicatively coupled to the input interface. The pre-processor optionally includes a parser logic. The pre-processor includes a decoder communicatively coupled to the parser logic. The segmentation logic is configured to parse the input sensor data. The decoder is configured to decode the parsed input sensor data. The pre-processor is configured to provide the decoded input sensor data and the parsed input sensor data to a processor for fusion.

Abstract: Systems and methods are provided for utilization of optimal data access interface usage in machine learning pipelines. Examples of the systems and methods disclosed herein include identifying data access interfaces comprising at least a first data access interface for a persistent storage distributed across a plurality of storage nodes and at least a second data access interface for an in-memory object store, and receiving, from a compute node, a data operation request as part of a machine learning pipeline. Additionally, performance metrics are obtained for the plurality of access interfaces, and based on a type of data operation request, the data operation is executed using a data access interface selected from the plurality of data access interface based on the performance metrics and providing an object handle to the compute node.

Abstract: A matching method for semiconductor topography measurement and a processing device using the same are provided. The matching method includes the following steps. An original surface topography curve is obtained. The original surface topography curve is obtained by measuring along a measurement straight line path of a semiconductor device. The original surface topography curve is converted into a surface topography variation curve. A circuit layout is obtained. A plurality of conductor density variation curves are obtained along a plurality of layout straight-line paths. According to a plurality of weighted values of a plurality of topography variation observation intervals of the surface topography variation curve, a weighted correlation between the surface topography variation curve and each of the conductor density variation curves is analyzed.

Abstract: The present application discloses a blade fault diagnosis method, apparatus and system, and a storage medium, the method includes: acquiring a blade rotation audio collected by an audio collection device during operation of a wind turbine generator system; preprocessing the blade rotation audio based on a wind noise filtering algorithm to obtain a blade rotation audio filtered out of wind noise; dividing the blade rotation audio filtered out of wind noise to obtain audio segments corresponding to blades of the wind turbine generator system respectively; diagnosing, based on the audio segments, whether the blades each corresponding to one of the audio segments are faulty. The present application can diagnose whether a corresponding blade is faulty respectively according to the audio segments of different blades, which improves the accuracy of the diagnosis results.

Abstract: A module for a microscope includes at least one sensor and/or at least one actuator, and a control and evaluation unit. The control and evaluation unit is configured to determine current parameter values of parameters of the sensor and/or of the actuator, analyze the parameter values using a statistical model stored in the control and evaluation unit to determine an operating state value that characterizes an operating state of the module, and identify the operating state as an abnormal operating state upon determining that the operating state value satisfies a predefined condition with respect to a threshold value.

Abstract: Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

Abstract: A method, apparatus, and computer program product for selecting a runtime configuration based on model performance. The method includes running a computing model on a computing device using a first runtime configuration among a plurality of runtime configurations that are configured for the computing model and determining, by the computing device, a reduction in model performance. The method includes identifying, among the plurality of runtime configurations, a second runtime configuration based at least in part on the determined reduction in model performance and running the computing model using the second runtime configuration in response to the determined reduction in model performance.

Abstract: A system for pedestrian use includes an accelerometer having multiple electronic sensors; an electronic circuit operable to generate a signal stream representing magnitude of overall acceleration sensed by the accelerometer, and to electronically correlate a sliding window of the signal stream with itself to produce peaks at least some of which represent walking steps, and further operable to electronically execute a periodicity check to compare different step periods for similarity, and if sufficiently similar then to update a portion of the circuit substantially representing a walking-step count; and an electronic display responsive to the electronic circuit to display information at least in part based on the step count. Other systems, electronic circuits and processes are disclosed.

Abstract: A power flow calculation and AC/DC hybrid power flow calculation method for a flexible DC transmission system, the method including: according to the flexible DC transmission system under different control strategies, constructing a unified power flow model with a unified structure; determining a current main converter station, a current control strategy and an initial value and a limit value thereof, and forming the power balance equations under the current control strategy according to the unified power flow model; updating the current DC node voltage according to the voltage variation obtained by solving the power balance equations, and, if the updated DC node voltage exceeds the limit value, switching the control strategy; and if the updated DC node voltage does not exceed the limit value and the iteration constraints are not satisfied, alternating the main converter station according to the priority until iteration is completed.

Abstract: A controller is configured to receive raw signals from at least one gyroscope for at least two axes. The controller processes the raw signals through a BPF and output a filtered signal. The controller processes the filtered signal through an energy envelope estimator and determines an energy envelope signal for at least one axis. The controller then determines a nonswim activity in a segment based on the energy envelope signal through a detector. The energy envelope estimator is configured to generate the energy envelope signal using sliding window average of a preset window size over the filtered signal. The detector is configured to compare values of the energy envelope signal for at least one axis against respective threshold value, and classify the segment of the raw signals as non-swim activity upon satisfactory comparison.

Abstract: A method of determining a field of view setting for an inspection tool having a configurable field of view, the method including: obtaining a process margin distribution of features on at least part of a substrate; obtaining a threshold value; identifying, in dependence on the obtained process margin distribution and the threshold value, one or more regions on at least part of the substrate; and determining the field of view setting in dependence on the identified one or more regions.

Abstract: Path extraction for a vehicle on a guideway, the vehicle having two or more sensors. Two or more sensor inputs are received from two or more sensors including at least one active 3D sensor input from at least one active 3D sensor and at least one passive 2D sensor input from at least one passive 2D sensor. At least one active 3D sensor path is extracted based on the at least one active 3D sensor input and at least one passive 2D sensor path based on the at least one passive 2D sensor input. At least one 3D sensor ground surface model is generated based on the at least one passive 2D sensor path. At least one passive 3D path is generated based on the at least one passive 2D sensor path and the at least one 3D sensor ground surface model. The at least one passive 3D path and the at least one active 3D sensor path are fused to produce a consolidated 3D path. In a path extraction pipeline, at least one supervision check is performed for providing integrity to the consolidated 3D path.