Abstract: A processing system includes a processing unit configured to process a cartridge, in particular a microfluidic cartridge, and is further configured to process a biological sample received in the cartridge. The processing unit includes a computing unit configured to compare input or read in sample data with input or read in first cartridge data in order to determine a compatibility of the sample with the cartridge. The computing unit is further configured to output a first error message in response to a determination of incompatibility between the sample and the cartridge. A method includes using the processing system to determine a compatibility between a sample and a cartridge.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A method of improving computer network, includes receiving an identification of performance metrics of the computer network; automatically capturing screenshots of the monitoring dashboards of the performance metrics based on the identification; storing automatically the captured screenshots in an image file format on a storage facility; transmitting automatically and selectively, via a messaging channel, the captured screenshots to designated recipients; analyzing the received screenshots to assess the desired performance metrics, the analyzing including identifying undesirable performance metrics; and providing actions based on the analysis to change configurations of the computer network to address the identified undesirable performance metrics.

Abstract: An exercise support device includes a motion sensor that is worn on a user's body and outputs data regarding the motion status of the user's body when the user is performing a moving exercise, and a control section which acquires exercise information regarding the user's exercise status. The control section selects a specific exercise index having relatively strong correlation with a moving speed from exercise indexes acquired from the data outputted when the user moves on a movement section plural times at moving speeds different from each other, acquires a coefficient that is used in an approximate expression which represents the specific exercise index and is a linear function including the moving speed as a variable and the coefficient, and acquires the exercise information based on the specific exercise index and the coefficient when the user moves by the moving exercise.

Abstract: A universal control board for high-rise buildings is provided. The universal control board provides a communication system that operatively associates low voltage loading, including a WIFI thermostat application, with line voltage equipment for providing energy savings, humidification, dehumidification, UV lighting and multiple fan applications in high-rise buildings.

Abstract: According to an embodiment, a design support system supports determination of a first design specification of a plant, the system including a memory and a hardware processor. The memory stores therein second design specifications of existing plants in association with first information related to a document(s) concerned with an existing plant. The hardware processor acquires a required specification which includes a part of elements of the first design specification and which indicates value of each element to be satisfied; identifies, based on second information in which an element(s) is/are associated with each condition, an element associated with a condition that matches the required specification; identifies a second design specification corresponding to the required specification based on the element identified; selects an element(s); and extracts, from the first information associated with the second design specification identified, a description related to the element selected.

Abstract: A measurement circuit for monitoring at least one parameter of an input signal received from an external signal source includes at least one first measurement element coupled to the input signal and configured to provide an initial measurement signal indicative of a respective one or more of the at least one parameter of the input signal. At least one second measurement element is positioned proximate to the at least one first measurement element and configured to have a characteristic indicative of a stress condition associated with the at least one first measurement element. A compensation circuit is responsive to an output of the at least one second measurement element and to a reference signal to generate a compensation factor that is applied to the initial measurement signal to provide a corrected measurement signal.

Abstract: A system comprising: a centralized data acquisition subsystem to receive input data from one or more data silos; a data storage subsystem adapted to process, and store the received input data; a bridge application subsystem to securely ingest the received input data from the centralized data acquisition subsystem into the data storage subsystem; wherein the bridge application subsystem comprises a custom bridge program subscription; a data refining subsystem that is connected to the data storage subsystem and refines the input data acquired by the data storage subsystem, removes abnormal data and stores refined input data after refining; a predictive analytical subsystem is configured to generate output data using the refined input data from the data storage subsystem for processing and computing the input data to create a predictive analysis.

Abstract: Some embodiments optimize a local, pending transaction queue of transactions locally executed by a client application to be synchronized with a server. Multiple transactions, which may be executed by the client application for a same local object, need to be synchronized with a server. The transactions, in queue for synchronization with the server, may include transactions to add, delete, or modify objects. Each set of transactions for a particular object in queue for synchronization with the server corresponds to a particular net effect on the server if synchronized individually to the server. The client application may replace the set of transactions for the particular object with a reduced set of transactions corresponding to the net effect, or entirely removed without replacement if there is no net effect of the set of transactions on the server.

Abstract: A method for estimating a ground plane includes receiving a pose of a robotic device with respect to a gravity aligned reference frame, receiving one or more locations of one or more corresponding contact points between the robotic device and a ground surface, and determining a ground plane estimation of the ground surface based on the orientation of the robotic device with respect to the gravity aligned reference frame and the one or more locations of one or more corresponding contact points between the robotic device and the ground surface. The ground plane estimation includes a ground surface contour approximation. The method further includes determining a distance between a body of the robotic device and the determined ground plane estimation and causing adjustment of the pose of the robotic device with respect to the ground surface based on the determined distance and the determined ground plane estimation.

Abstract: Techniques for ascribing social attributes to content items and for selecting content to display in a content feed are described. According to various embodiments, accessing one or more content items accessible via a network are accessed, each of the content items having received one or more social activity signals. Thereafter, members of an online social network service that submitted the social activity signals may be identified. Member profile data identifying member profile attributes of the members cemented the social activity signals may then be accessed. Thereafter, social attribute information may be generated and associated with each of the content items, the social attribute information identifying the member profile attributes of the members that submitted the social activity signals associated with each of the content items.

Abstract: According to an aspect of an embodiment, operations include receiving a set of datapoints for integrated clustering and outlier detection. The operations further include receiving, as a first input, a clustering constraint comprising a number of outlier datapoints to be detected from the set of datapoints and a second input including a distance metric. The operations further include formulating an objective function based on the first and second inputs and transforming the objective function into an unconstrained binary optimization formulation. The operations further include providing such formulation as input to an optimization solver machine and generating a clustering result and an outlier detection result based on output of the optimization solver machine for the input. The clustering result includes a set of datapoint clusters, and the outlier detection result includes a set of outlier datapoints. The clustering result and the outlier detection result are published on a publisher system.

Abstract: A method for computing. In some embodiments, the method includes: calculating an advantage score of a first computing task, the advantage score being a measure of an extent to which a plurality of function in memory circuits is capable of executing the first computing task more efficiently by than one or more extra-memory processing circuits, the first computing task including instructions and data; in response to determining that the advantage score of the first computing task is less than a first threshold, executing the first computing task by the one or more extra-memory processing circuits; and in response to determining that the first computing task is at least equal to the first threshold: compiling the instructions for execution by the function in memory circuits; formatting the data for the function in memory circuits; and executing the first computing task, by the function in memory circuits.

Abstract: Systems and methods for detecting anomalies in a plurality of showcases are provided. A system can obtain a corresponding table between each of the plurality of showcases and at least one corresponding sensor. The system obtains information for showcase clustering. The system can include a processor device that can determine at least one cluster of showcases based on the information for showcase clustering and the corresponding table between each of the plurality of showcases and the at least one corresponding sensor. The system can build at least one model for each of the at least one cluster of showcases and detect at least one anomaly based on data from the at least one cluster of showcases and the at least one model.

Abstract: Aspects of the present disclosure involve an apparatus, systems, and methods for providing intelligent laundering alerts. Example embodiments involve an intelligent garment tag that may be affixed to garments, and may store and provide information about the garment to which it is affixed. The information stored thereon describes various aspects of the garment including color, fabric, and laundering information. The intelligent garment tags further include an alert component for providing laundering alerts (e.g., a flashing or colored light, a warning noise, or a vibration) based on, for example, garment color compatibility or laundering device (e.g., washing machine or clothes dryer) compatibility.

Abstract: Systems and methods for distributed measurement collection and analysis are disclosed. In one embodiment, a method for distributed measurement collection and analysis may include (1) receiving, at a local server within a wide area computer network, a file from an electronic device within the wide area computer network, the file comprising a plurality of metrics for the electronic device over a period comprising a plurality of first intervals, wherein the file is received at a second interval; (2) the local server the local server analyzing the file for at least one maintenance issue for the electronic device; and (3) the local server providing the file to the central server at a third interval, the central server outside the wide area network.

Abstract: An integrated diagnostics system utilizes online and offline diagnostics techniques to evaluate control valves found in process plant environments. The integrated diagnostics system improves on existing diagnostic systems, which typically rely exclusively on online diagnostics or offline diagnostics.

Abstract: According to an aspect of the present disclosure, a correlation data correlating resource usage with workload signatures is maintained, each workload signature representing a cluster of block signatures, each block signature characterizing the transaction instances initiated in a corresponding block duration. For the transactions received in a current block duration, if a current block signature is not contained in the correlation data and if the current transaction arrival rate (TAR) is greater than an expected TAR, a resource requirement for the current block signature is computed. Actions to manage capacity to handle transaction instances are triggered if the resource requirement is greater than the resource allocation in the current block duration. As an unknown current block signature and a higher TAR may be indicative of a workload surge, triggering suitable actions for such block signatures facilitates such surges to be handled by the software application.

Abstract: A data processing method includes a sampling step of obtaining time series data based on a measurement result of a physical quantity in a substrate processing apparatus, an evaluation value calculation step of obtaining an evaluation value of the time series data by comparing the time series data with reference data, and a sampling period control step of controlling a sampling period used in the sampling step for each time series data. In the sampling period control step, all sampling periods are controlled to a normal period in an initial state, and when the evaluation value of the time series data is abnormal, the sampling period used when obtaining the time series data is controlled to an abnormal period shorter than the normal period.

Abstract: An energy virtualization system may include a physical interface gateway that may include a plurality of common interfaces. The plurality of common interfaces may be coupled to a plurality of energy-producing devices, a plurality of energy-control devices, and a plurality of energy-consuming devices. The system may also include a building network, where the plurality of energy-producing devices, the plurality of energy-control devices, and the plurality of energy-consuming devices can communicate through building network. The system may additionally include a computing device running an energy virtualization layer. The virtualization layer may include a plurality of virtual devices representing the plurality of energy-producing devices, the plurality of energy-control devices; and the plurality of energy-consuming devices. The virtualization layer may also direct energy from the energy-producing devices to the energy-consuming devices according to information received from the energy-control devices.

Abstract: According to one embodiment, a diffraction signal of each of a plurality of reference structures provided on a substrate is acquired. The diffraction signals are classified based on a similarity to generate a first data map. The diffraction signals in the first data map are used to interpolate data between the diffraction signals to generate a first interpolation data map. An actual dimension of each of the plurality of reference structures is measured. The actual dimensions are arranged to correspond to the diffraction signals of the first data map to generate a second data map. The actual dimensions in the second data map are used to interpolate data between the actual dimensions to generate a second interpolation data map. The first interpolation data map and the second interpolation data map are used to derive a calculation formula by which the actual dimension is obtained from the diffraction signal.

Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.

Abstract: An electronic device for checking a randomness of an identification key device, a random key checker circuit for an electronic device and a method of checking randomness for an electronic device. An electronic device for checking a randomness of an identification key device includes an identification key generator, configured to generate an identification key. A random key checker circuit, configured to receive the identification key from the identification key generator, calculates a randomness value of the identification key according to the identification key for checking a randomness of the identification key and generates an output of the identification key with high randomness.

Abstract: A system configured to be coupled with a participant of an activity. The system comprises: a participant activity monitoring unit configured for monitoring a performance of the activity by the participant; an activity information module configured for storing performance information corresponding to the activity; and a participant performance correlator configured for delivering comparative performance data based on the monitored performance of the activity by the participant and the stored performance information.

Abstract: An anomaly detection platform can be used to monitor the operation performed on or by a computer system to identify potentially anomalous conditions. In response, a corrective action can be taken to address the issue. This can be useful, for example, in improving the efficiency, effectiveness, and reliability of the computer system during operation.

Abstract: The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method comprises: receiving, by a computing device of a cloud-based campaign system, a campaign for products or services from a marketing system via a network; providing, by the computing device, the campaign to one or more participants on the network; obtaining, by the computing device, feedback from the one or more participants regarding the campaign; analyzing, by an artificial intelligence tool of the computing device, the feedback to generate marketing analytics information; and providing, by the computing device, the marketing analytics information to the marketing system via the network.

Abstract: The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.

Abstract: Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.

Abstract: In one embodiment, an apparatus is provided. The apparatus includes a first interface configured to communicate with a computing device. The apparatus also includes a second interface configured to communicate with a data storage device. The apparatus further includes a processing device coupled to the first interface and the second interface. The processing device is configured to receive, from the computing device via the first interface, a request to measure a set of performance metrics for the data storage device. The processing device is also configured to identify a set of commands used to measure the set of performance metrics for the data storage device. The processing device is further configured to determine whether the set of commands has been performed by the data storage device.

Abstract: A method includes obtaining flow measurement data from a flow meter in an industrial process control system. The method also includes sending the flow measurement data to a cloud-based environment. The method further includes performing condition based monitoring (CBM) analysis on the flow measurement data in the cloud-based environment to determine CBM data. The method also includes performing uncertainty analysis on the CBM data in the cloud-based environment to determine a validated flow rate with an uncertainty value. The method further includes comparing the validated flow rate to the flow measurement data to determine a technically audited flow rate. The method also includes sending the technically audited flow rate to a distributed control system (DCS) associated with the flow meter.

Abstract: An inspection target reading device includes a wireless slave station that performs communication via a wireless network, a measurement unit that measures a state of an inspection target, and an analysis unit that generates measurement data, and transmits the measurement data from the wireless slave station via the wireless network.

Abstract: In some examples, learning based incident or defect resolution, and test generation may include ascertaining historical log data that includes incident or defect log data associated with operation of a process, and generating, based on the historical log data, step action graphs. Based on grouping of the step action graphs with respect to different incident and defect tickets, an incident and defect action graph may be generated to further generate a machine learning model. Based on an analysis of the machine learning model with respect to a new incident or defect, an output that includes a sequence of actions may be generated to reproduce, for the new incident, steps that result in the new incident, reproduce, for the new defect, an error that results in the new defect, identify a root cause of the new incident or defect, and/or resolve the new incident or defect.

Abstract: Distress models can be generated to model current or future deterioration of components. By correlating distress models with maintenance costs and material consumption, cumulative cost models and cumulative material models can be developed to optimize engine removal timing in order to maximize asset and portfolio value.

Abstract: An over-the-air test system is provided. The over-the-air test system comprises a test chamber, a device under test, measurement equipment for performing at least one wireless measurement with respect to the device under test, and a signaling unit. In this context, the signaling unit is configured to visually and/or acoustically indicate a status of the at least one wireless measurement.

Abstract: This document discusses, among other things, systems and methods configured to receive affect information from a patient in response to a provided affect inquiry and to receive real world activity information from the patient in response to a provided real world activity, and to provide patient neurofunction assessment information using the affect information and the real world activity information.

Abstract: Methods and systems maintain a distributed ledger of transactions pertaining to a particular vehicle. The method may include (1) receiving, by one or more processors, vehicle data from one or more remote computing devices; (2) detecting, by the one or more processors, a vehicle-related event from analysis of the vehicle data; (3) identifying, by the one or more processors, a VIN of the vehicle when a vehicle-related event is detected; (4) generating, by the one or more processors, a transaction including (i) the vehicle's VIN, and (ii) describing the vehicle-related event; and (5) transmitting, by the one or more processors, to a server the transaction to facilitate maintaining a VIN-based distributed ledger for the particular vehicle.

Abstract: Disclosed is a method for providing information in a server. Said method for providing information in a server includes: a step for repeatedly receiving at preset intervals, data related to a plurality of sensors provided in an electronic device; a step for storing the data received at the preset intervals; a step for comparing data corresponding to a first period and data corresponding to a second period among the stored data, and thereby sensing a change in the performance of the electronic device; and a step for providing guidance information corresponding to the sensed change in performance to a user terminal device which corresponds to the electronic device.

Abstract: The present disclosure relates to a method for establishing a network communication between network participant and a communication apparatus. The communication apparatus is configured to reset the operating system of the communication apparatus based on an image file located in the communication apparatus after turning on or restarting the communication apparatus, and start the operating system based on the image file, and execute a script. The script initiates or controls starting a first frame application, incorporating at least one communication application into the first frame application, and executing, using the communication application, a scan of a first communication network connected to the communication apparatus and ascertaining identification of all network participants deployed in the first communication network, as well as to a communication apparatus for performing the method of the present disclosure.

Abstract: Systems and methods for controlling powerplants that include and/or leverage one or more health models to proactively optimize component life or minimize damage of one or more components of the powerplant are provided. In one exemplary aspect, a control system for a powerplant feeds engine data into one or more health models. The health models output health data indicative of a condition of one or more components of the powerplant. The control system utilizes the health data outputs to proactively control the components of the powerplant in such a way so as to optimize component life/damage.

Abstract: Systems and methods utilizing noise analysis to analyze conveyor performance are disclosed. An example system for monitoring a plurality of components of a conveyor in an industrial environment may include a data acquisition circuit to interpret a plurality of detection values, each detection values corresponding to at least one of a plurality of input sensors operationally coupled to the conveyor. A data processing circuit may utilize at least one of the detection values to perform a noise processing operation on at least a portion of the detection values. A signal evaluation circuit may determine a conveyor performance parameter in response to the noise processed portion of the detection values and a response circuit may then perform at least one operation in response to the conveyor performance parameter.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for measuring latency. The method includes receiving, at a microcontroller, a first signal from a first device at a first time. The first device may include a device under test (DUT) having a gaming system. The method also includes comparing, through the microcontroller, a timing of a second signal with the first signal. The second signal may either be sent to a second device, or received from the second device. The second signal may be either sent or received at a second time. The method also includes calculating, through the microcontroller, a latency of the first device based on a difference in the timing of the first signal and the second signal.

Abstract: According to various aspects of the subject technology, systems and methods for identifying whether for a period of time, the weather is a cause for the consumption cost for a user exceeding a threshold cost. The determination can be made by comparing the received weather sensor data for the period of time to baseline weather data. If the weather is identified to be a cause for consumption cost for the user exceeding a threshold cost for the period of time, then a notification can be generated. The notification can indicate that the consumption cost for the user exceeds the threshold cost for the period of time and that weather is a reason for the consumption cost for the user exceeding the threshold costs. As such, the notification can warn the user that a high bill should be expected, thereby reducing bill shock and ensuing call center calls.

Abstract: A data collection apparatus includes: a collection unit which collects data relating to respective vehicles from vehicular devices installed in the respective vehicles; a reception unit which receives a prescribed communication amount specified; and a providing unit which provides a user interface that provides guidance on manipulations for specifying a data collection condition so that a communication amount of data collected by the collection unit falls within the specified communication amount.

Abstract: A method of fault diagnosis during testing of a turbine unit includes a) obtaining measurement data from turbine sensors and testing sensors, b) calculating at least one parameter value based on measurement data, c) determining a deviation of the measurement data and the at least one parameter value by comparing the measurement data and the at least one parameter value with predetermined reference data, and d) matching the determined deviation to a plurality of predetermined fault signatures in order to detect a fault. The plurality of predetermined fault signatures includes a first set of fault signatures and a second set of fault signatures, the first set of fault signatures corresponding to turbine sensor faults and/or testing sensor faults and assumed fault-free turbine components, the second set of fault signatures corresponding to turbine component faults and assumed fault-free turbine sensors and testing sensors.

Abstract: The present disclosure is directed to a method of identifying an infected network node. The method includes identifying a first network node as infected. The method includes collecting a first set of network data from the first network node including anomalous activities performed by the first network node. The method includes generating an anomalous behavior model using the first set of network data. The method includes collecting a second set of network data from a second network node including anomalous activities performed by the second network node. The method includes comparing the second set of data to the generated anomalous behavior model. The method includes determining, from the comparison, that a similarity between first characteristics and second characteristics exceeds a predefined threshold. The method includes ascertaining, based on the determination, the second network node as an infected network node.

Abstract: An LDPC decoding method of a received signal including a plurality of received symbols is provided. A decoding apparatus selects a perturbation space in which perturbation is to be performed based on a code length of the received signal and a maximum number of perturbation rounds indicating a number of perturbation rounds that can be performed, and performs a perturbation round. The decoding apparatus performs perturbation on a corresponding received symbol among the plurality of received symbols in each perturbation round, and decodes the received signal on which the perturbation has been performed. The decoding apparatus determines that decoding is successful when there is a perturbation round in which a decoding result of the received signal satisfies a predetermined condition.

Abstract: A method of determining a probabilistic metric for random hardware failure for an electronic system, such as a microcontroller, which comprises element and safety mechanisms (SMs) is disclosed. The safety mechanisms include first layer safety mechanisms (FL-SMs) and second layer safety mechanisms (SL-SMs). A first layer safety mechanism may provide at least partial coverage of failure of a part and a second layer safety mechanism may provide at least partial coverage of failure of a first layer safety mechanism. The method comprises calculating a first set of probabilities (KSM_i) associated with the first layer safety mechanisms, calculating a second set of probabilities (KDVF_n) associated with direct violation faults in the parts and calculating a third set of probabilities (KIVF_n) associated with indirect violation faults in the parts. The method includes obtaining the value of probabilistic metric for random hardware failure in dependence on the first, second and third sets of probabilities.

Abstract: A method for presenting operational information of a mobile platform includes collecting diagnostic data and travel route data associated with an operation of the mobile platform, and integrating the travel route data with the diagnostic data for presentation. The diagnostic data includes at least one of platform diagnostic data or remote control data. The remote control data is generated by a remote controller associated with the mobile platform or generated by a computer device.

Abstract: The current document is directed to automatically, semi-automatically, and/or manually monitoring a computing facility to detect and address undesirable operational states in computing facilities. The present disclosure employs case-based inference to diagnose and ameliorate undesirable operational states using records of previously handled undesirable operational states and the actions taken to remediate the previously handled undesirable operational states.

Abstract: The system according to the invention comprises: a handpiece, to which an endodontic instrument can be connected that is intended to be inserted into a root canal, a measurement unit for measuring a magnitude related to the position of the endodontic instrument in the root canal and a computation and display unit for displaying a graph representing the evolution of the magnitude measured by the measurement unit during an endodontic treatment with the endodontic instrument.