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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Example embodiments may relate systems, methods, apparatuses, and computer readable media configured to correlate image data of a user performing physical activity with data collected during the user's performance. Data may include sensor data measuring, force, acceleration, speed, and/or processed sensor data from one or more sensors. Certain embodiments may determine whether the user is within a performance zone based on user attributes. Correlation of the image data with physical activity data may be based, at least in part, whether the user is within a performance zone.

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.

Abstract: A system. The system includes a control module of a fluid system of a machine, a battery, a fluid component and an electrical circuit. The electrical circuit is configured to electrically couple the battery to the control module via the fluid component, and to activate the control module when the machine is powered down.

Abstract: A vehicle system includes a vehicle component with a component temperature sensor, and a fluid circuit in fluid communication with the component and with a fluid temperature sensor. A controller is in communication with the component sensor and the fluid sensor. The controller is configured to, in response to a temperature difference between the component sensor and the fluid sensor being greater than a predetermined threshold value, output a flag or a diagnostic code indicative of a fluid level in the fluid circuit. A vehicle diagnostic method and a vehicle are also provided.

Abstract: A noise monitoring device capable of easily estimating a noise generation source in a factory is connected for communication with a plurality of machines in the factory. The noise monitoring device is provided with a noise information acquisition unit configured to acquire noise information including the time of generation of noise if the noise is generated in the machines, an operation information acquisition unit configured to continually acquire operation information of all the machines, a determination unit configured to extract the operation information at a point in time near the noise generation time, and a display unit configured to display the noise information and the operation information of all the machines at the point in time near the noise generation time.

Abstract: The procedure includes referring to data including information on an operation task performed with respect to each of a plurality of devices, the data being associated with each of the plurality of devices, extracting a first device in which a number of operation tasks performed during a specific period satisfies a criterion, displaying the information on the operation task performed during the specific period with respect to the first device, in association with the first device, upon receiving designation of a time or a first time zone, referring to the data, extracting a second device in which the number of operation tasks performed in a second time zone depending on the time or the first time zone satisfies a criterion, and displaying the information on the operation task performed in the second time zone with respect to the second device, in association with the second device.

Abstract: Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.

Abstract: Obtaining or facilitating obtaining statistical performance of a storage system is described. For instance, a method comprises: dividing a value range of performance of a storage system into a plurality of adjacent sub-ranges, an upper limit value of each sub-range being a predetermined multiple of a non-zero lower limit value of the sub-range. The method also comprises: determining a distribution of a plurality of measurement values of the performance among the plurality of sub-ranges. The method further comprises: estimating, based on the distribution, a percentile of the plurality of measurement values corresponding to a predetermined percentage to indicate statistical performance of the storage system. As a result, statistical performance indicators of the storage system can be obtained with an acceptable error using a small amount of memory resources.

Abstract: A method for aggregating operating values of a plurality of spatially distributed operating units, wherein aggregation times are predefined and the operating values of each operating unit describe an operating variable at each of the respective aggregation times, and a respective aggregation value is generated from time-synchronized operating values of the operating units for the aggregation. Respective raw values are received for each of the operating units, which describe the operating variable at a respective detection time, and the operating values of at least one of the operating units are formed based on the raw values thereof. For each of the aggregation times, and based on a predetermined checking function, a respective operating value is sought which fulfills a synchronization criterion and a plausibility criterion. If an operating value of this type is found it is used, and if no such operating value is found, a detection gap is signaled.