Abstract: Computer systems and methods test applications of an enterprise computer system. The enterprise computer system comprises a test orchestration engine that is configured to receive a human-readable configuration file that comprises: a test script model that specifies testing activities for an application of the enterprise computer system; an application model that specifies attribute values for the application for the testing of the application; and a script model that specifies context parameters for the testing of the application. The test orchestration engine generates, at compile time, metadata code artifacts from the configuration file; and orchestrate, at run time, testing of the application based on the metadata code artifacts generated from the configuration file.

Abstract: An equipment management system includes an information processing apparatus obtains equipment information about equipment, and a management apparatus. The management apparatus communicates the equipment information with the information processing apparatus under a predetermined communication condition, and manages the equipment. Either or both of the management apparatus and the information processing apparatus include a candidate communication condition generating unit that generates one or more candidate communication conditions in accordance with one or both of a state of the equipment and a state of an installation space in which the equipment is installed.

Abstract: A monitoring system that is configured to monitor a property includes a camera that is configured to capture video data of the property. The monitoring system further includes a microphone that is configured to capture audio data of the property. The monitoring system further includes a monitor control unit that is configured to access and analyze the video data. The monitor control unit is further configured to determine that an alarm condition does not exist at the property. The monitor control unit is further configured to access and analyze the audio data. The monitor control unit is further configured to override the determination that an alarm condition does not exist at the property. The monitor control unit is further configured to, based on overriding the determination that an alarm condition does not exist at the property, perform a monitoring system action.

Abstract: A system for designing and executing control loops in a cloud environment includes a control platform implemented in the cloud environment having a data collection, analytics and events module, a policy module and an application controller module. The system includes a business process management application coupled to the control platform having a control loop designer module for designing a control loop template and a workflow engine for distributing the control loop template. The business process management application is coupled to the data collection analytics and events module of the control platform as well as the policy module in the application controller module to control platform. The control loop is activated by the control platform.

Abstract: Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

Abstract: A system, method and apparatus for data collection in an industrial environment are described. The system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial process, a data marketplace circuit structured to communicate at least one of the plurality of detection values to a data marketplace, and to obtain at least one external detection value, a data analysis circuit structured to determine a state value, an optimization circuit configured to provide a recommendation to adjust a parameter of the process in response to the state value, and an analysis response circuit structured to perform an action in response to the recommendation.

Abstract: The object of the present invention is to provide a voice recognition technique that can handle wording in other languages. The voice recognition dictionary data construction apparatus includes an attribute setting unit that sets attributes to first words that constitute a first character string representing a place name in the first language, a language conversion unit that creates a second character string by replacing the first words in the first character string with the second words without changing the attributes thereof, an order changing unit that creates a third character string by changing the word order of the second character string based on the attributes of the words of the second character string and the word order rule of place names of the second language, a phoneme data construction unit that constructs the phoneme data of the third character string.

Abstract: Disclosed is a blockchain-enabled edge computing method for production scheduling. The method includes modeling a smart contract between a device and a manufacturing unit, and using the smart contract to perform production scheduling on the device inside the manufacturing unit; one of the manufacturing units includes multiple devices; mounting each device on the blockchain operating node, the MES issues production instructions to the nodes of each manufacturing unit, at the same time, the nodes acquire production data of the device through multiple data sources of the device, the operating state data and process parameter data of each device are acquired in real time, and the data is directly chained from the device level; according to the production instructions and device parameters obtained by the manufacturing unit, using edge computing to dynamically adjust the device load, efficiency, and utilization.

Abstract: A failure diagnostic system includes an instrument and a failure diagnostic device. The instrument makes measurement of a measured value regarding behavior of a diagnosis target. The failure diagnostic device has a model of the diagnostic target and performs simulation based on the model. The failure diagnostic device offers a user a proposal for execution of a special operation on the diagnostic target, on the condition that a difference between a result of the simulation and the measured value is greater than a predetermined error range but the difference provides an insufficient basis to determine whether or not the diagnosis target has a failure. The result of the simulation is calculated with the model supplied with a same input as an input to the diagnosis target at the time of the measurement by the instrument of the measured value regarding the behavior of the diagnosis target.

Abstract: Techniques for operating a remote monitoring system are provided. An example method according to these techniques includes sensing one or more characteristics associated with a monitored asset to produce sensor data, and dynamically configuring operating parameters of the monitoring system based at least in part on current operating conditions of the monitoring system. The example method also includes extracting features from the sensor data using the feature extraction component to produce extracted feature information, and selecting at least a subset of the extracted feature information using the feature extraction component to produce active feature information based at least in part on the current operating conditions of the monitoring system. The example method also includes sending, through a communications network, the active feature information to a server.

Abstract: Example implementations described herein are directed to systems and methods for extracting signal in presence of strong noise for industrial Internet of Things (IoT) system especially for monitoring systems of consumable items such as lathe machines, coolers and so on. Example implementations can utilize a sawtooth mother Wavelet instead of usual wavelet analysis to cleanse the incoming sensor data, thereby allowing for the converting sensor data to feature values despite having heavy noise interference.

Abstract: An alert optimizer subsystem for a HIT system modifies, reconciles, and/or prioritizes candidate clinical alerts. The optimized alerts may be filtered, prioritized, enriched, and/or formatted so that the alerts are more relevant and/or more actionable for a system user.

Abstract: Systems, devices, media, and methods are presented for releasing an application feature in incremental stages while monitoring the application for anomalies. The feature includes a package of code and an action setting. The methods in some implementations include identifying active devices on which the application has been installed, monitoring the application according to a set of metrics, activating the feature by changing its action setting for a first segment of the active devices, pausing the feature if an anomaly is detected among the set of metrics, and generating a repair ticket. As long as no anomaly is detected, the activating step proceeds for subsequent segments of the active devices, iteratively, until the release is completed. A feature rank may be used to process and release a plurality of features in order of priority.

Abstract: Techniques to facilitate synchronization of industrial assets in an industrial automation environment are disclosed herein. In at least one implementation, a computing system receives time-series industrial process data associated with a plurality of process subsystems of an industrial automation process. The time-series industrial process data is fed into a machine learning model associated with the industrial automation process to dynamically generate a process duration prediction for a first one of the process subsystems and responsively determine an updated set point for a second one of the process subsystems based on the process duration prediction for the first one of the process subsystems. The updated set point for the second one of the process subsystems is provided to an industrial controller associated with the second one of the process subsystems.

Abstract: A wearable cardioverter defibrillator (WCD) system comprises a plurality of patient parameter electrodes and a plurality of defibrillator electrodes to contact a patient's skin when the WCD is delivering therapy to the patient, a processor to receive one or more patient parameters from the one or more patient parameter electrodes, an energy storage device to store a charge to provide electrical therapy to the patient via the plurality of defibrillator electrodes, and a non-invasive blood pressure (NIBP) monitor to obtain a blood pressure measurement of the patient and to provide the blood pressure measurement to the processor. The processor is to determine whether to provide electrical therapy to the patient based on the one or more patient parameters during an episode, and to obtain the blood pressure measurement from the NIBP monitor during the episode.

Abstract: A control system applicable to a touch device is provided. The touch device includes a touch sensor. The control system comprises a sensing circuit, configured to sense the touch sensor and generate a plurality of sensing values; a processor, configured to generate a sensing image according to the plurality of sensing values; and a convolutional neural network, configured to process the sensing image to generate feature information and generate identification information according to the feature information for determining a status of the touch sensor.

Abstract: In accordance with an embodiment, described herein is a system and method for receiving content to be parsed, and configuring a network of parsing devices for use in parsing the content in accordance with templates. The system comprises a management server in communication with the parsing network, and the management server is configured to determine a parsing assignment for one or more parsing devices within the parsing network. The parsing network comprises a plurality of parsing devices, each comprising or associated with an endpoint for enabling communication with the management server. The parsing assignment indicates content items to be parsed by the parsing devices and associated templates for use by the parsing devices.

Abstract: An electronic material sensor for a container, such as a dispenser for paper or liquid materials, or a waste receptacle, in a facility such as a restroom. The material sensor may be adapted to fit inside an existing material dispenser. The material sensor provides wireless data transmission of the level of liquid or paper material in the container. A traffic sensor senses presence of people in the facility. An electronic beacon assigned to a user, such as a cleaning staff, tracks location of the user in the facility. In a system employing one or more sensors, including material sensors, traffic sensors, and beacons, the sensors send real-time data to a base station running a software application, to give details about levels of the materials and facility usage, and the location of cleaning staff.

Abstract: A method for monitoring a wind turbine comprises monitoring an acoustic signal and/or a vibrational signal within a tower of the wind turbine, analyzing the signal to identify one or more predetermined characteristic indicative of an event within the tower, recognizing the event has occurred based on the predetermined characteristic and generating an output based on the recognized event. The one or more predetermined characteristic being at least one of: an amplitude of the signal, a duration of the signal, a shape of the signal, one or more frequencies present in the signal and an energy of the signal.

Abstract: A computer implemented method comprises receiving one or more images of a computing environment comprising a plurality of interconnected components, analyzing the or each received image to identify each component shown in the image(s) and the connection(s) of each identified component, by identifying a set of attributes for each component from the image(s) and matching the identified attributes to attributes of known components stored in a database, obtaining a specification for each identified component, and generating a document comprising each identified component, its respective specification and the connection(s) of each identified component.

Abstract: Novel tools and techniques are provided for implementing network application programming interface (“API”), and, more particularly, API to provide network metrics and network resource control to users. In some embodiments, a computing system might receive customer network telemetry data from a first network via a gateway API, might receive service provider network telemetry data from a second network(s) via a network API, might compile the customer network telemetry data and the service provider network telemetry data, might receive a request from a user to access information regarding network services associated with the user, might filter the compiled customer network telemetry data and the compiled service provider network telemetry data to isolate first telemetry data and second telemetry data, respectively, might provide the user with access to at least one of the first telemetry data or the second telemetry data, and might provide the user with options to control network resources.

Abstract: Techniques are described with respect to managing user movement. An associated method includes constructing a machine learning knowledge model based upon medical data from a plurality of individuals and medical data specific to a user, collecting mobility device sensor data from a plurality of mobility device sensors connected to at least one mobility device associated with the user, and collecting biometric sensor data from a plurality of biometric sensors associated with the user. The method further includes analyzing the mobility device sensor data in view of the biometric sensor data via the machine learning knowledge model to determine a plurality of mobility parameters for the user and determining at least one mobility recommendation for a transport activity in accordance with the plurality of mobility parameters. In an embodiment, the method further includes adapting at least one augmented reality device to digitally represent the at least one mobility recommendation.

Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.

Abstract: A method for operating a fieldbus controller (2) having a plurality of I/O modules (4) is provided, the fieldbus controller (2) being coupled to a valve assembly (6) via the plurality of I/O modules (4). The method includes providing a user interface (8) for wirelessly operating the fieldbus controller (2), wherein providing the user interface (8) includes: providing a configuration interface (14) for configuring an operating mode of the plurality of I/O modules (4); providing a monitor interface (16) for reading status information from the plurality of I/O modules (4); and providing a control interface (18) for controlling a state of the plurality of I/O modules (4), the state of the plurality of I/O modules affecting a state of the valve assembly (6).

Abstract: A portable monitor operable in a first orientation and a second orientation. The monitor includes a housing and a handle having arms. A back side of the housing includes grooves sized and shaped to receive, respectively, the arms of the handle. The handle is pivotable about handle axles to a plurality of positions including a first position, in which the arms are received by first sections of the grooves, a second position, in which the arms are received by second sections of the grooves, and intermediate positions between the first position and the second position.

Abstract: A vehicle maintenance scheduling and fault monitoring apparatus includes a vehicle system maintenance rules generation module and a vehicle system fault detection module. The rules generation module determines a correlation between pairs of precedent historical vehicle fault data, of historical time-stamped vehicle fault data, and a subsequent different historical vehicle fault data, and generates vehicle system maintenance rules based on the correlation determined for the pairs of the precedent historical vehicle fault data and the subsequent different historical vehicle fault data. The fault detection module monitors faults of the vehicle system, determines an imminent occurrence of a subsequent vehicle fault, based on application of the vehicle system maintenance rules to the plurality of time-stamped precedent vehicle fault data, and generates a maintenance report corresponding to the imminent occurrence of the subsequent vehicle fault so that proactive maintenance is performed on the vehicle system.

Abstract: A system and method are presented for collecting and retrieving characterization data of measurement devices, such as flow meters. The system includes a meter, a radio frequency identification (RFID) tag for storing the meter characterization data, and electronics, such as a totalizer, to read the characterization data from the RFID tag and calibrate the meter measurements using the characterization data.

Abstract: A method of identifying an operating parameter of a wind turbine that contributes to the generation of tonal noise. The method comprises acquiring operating parameter data associated with a plurality of operating parameters of the wind turbine. The operating parameter data comprises a set of values for each operating parameter of the wind turbine. Noise data is also acquired that includes tonal noise produced by the wind turbine and is synchronised with the operating parameter data. The noise data is then binned with respect to a set of operating parameter values of a first operating parameter, and, for each of one or more of the bins, the noise data in the bin is analysed with respect to a set of values of a second operating parameter. The method then determines if there is a relationship between the second operating parameter and tonal noise produced by the wind turbine based on the analysis.

Abstract: Methods and systems for data collection for a chemical or pharmaceutical production process is disclosed. The system according to one disclosed non-limiting embodiment of the present disclosure can include a plurality of data collectors including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the chemical or pharmaceutical production process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the chemical or pharmaceutical production process.

Abstract: A base station may include a transceiver, a memory and a processor. The processor is effective to identify first and second raw data collectable by first and second transducer devices. The processor may generate first and second metadata associated with the first and second transducer devices, respectively. The processor may send the first and second metadata to the first and second transducer devices The processor may receive the first raw data and the first metadata from the first transducer device, the second raw data and the second metadata from the second transducer device. The processor may transform the first raw data into first transducer data based on the first metadata and transform the second raw data into second transducer data based on the second metadata, wherein the second transducer data corresponds to the second format.

Abstract: A virtual reality (VR) system comprising a head-mounted display (HMD) and handheld controller set is enhanced to provide a more realistic end user VR experience, e.g., for boxing or other interactive training. In this approach, and in lieu of simply establishing a boundary area for the VR experience, the user also maps a position of a real-world object into a reference frame of the VR environment. This mapping is facilitated using the handheld controller itself, e.g., as positioned in a backwards-facing manner on the user's forearm. The real-world object is then simulated in the 3D VR environment as rendered by the VR HMD, and the user interacts with the real-world object (or its simulation) to provide a more enjoyable and useful interactive experience.

Abstract: A method and system analyzes the productivity of a person engaged in a task. A computing device receives configuration data from sensors including environmental parameters related to a corresponding productivity score of the person engaged in the task. The environmental parameter data is analyzed to determine any impact on the person's productivity during the task. Changes in the productivity score and corresponding environmental parameters are stored in the computing device, and optimum values are determined.

Abstract: A self-driving cleaner includes a drive unit, a control circuit, a camera, a first sensor for detecting an object, and a second sensor for detecting a stuck state, and a third sensor for detecting a person. The control circuit is configured to (a) identify information about a target object which caused the stuck state, (b) receive information indicating whether the target object is to be cleaned, and (c) control the drive unit and a suction unit, when receiving information indicating that the target object is to be cleaned, to perform a first mode where a space excluding the target object is cleaned first and, thereafter, the target object is climbed if the person is not detected and perform a second mode where the target object is climbed first and, thereafter, the space excluding the target object is cleaned if the person is detected.

Abstract: This document discloses a solution for a method of monitoring an electric power grid. According to an aspect, a method comprises: detecting one or more physical stimuli in the electric power grid; obtaining, while the one or more physical stimuli is effective, a first set of measurement data associated with a first location of the electric power grid; computing operational information such as a fault level of the first location of the electric power grid on the basis of the first set of measurement data; mapping the operational information to corresponding operational information of a second location of the electric power grid on the basis of the first set of measurement data and correlation between electrical characteristics of the first location and the second location.

Abstract: The present invention is a computer modeling system for creating a comprehensive environmental impact model. The system performs a series of novel functions to reflect the impact of multiple emissions on all species of interest within an environment at designated concentration levels. The system can be further utilized as a repository to update environmental data received from scientific researchers and to update existing models accordingly. The system integrates new data and updates calculations to create increasingly complex, comprehensive and reliable predictive models for users, which include US and foreign entities charged with developing emissions standards.

Abstract: Provided is a data processing system which links a plurality of types of processing each of which configured to implement a function. The data processing system includes: a gateway for inputting data; and a server for inputting data output from the gateway. The gateway applies first processing including one or more types of processing to the input data in accordance with information included in first flow information and outputs the processed data to the server.

Abstract: A computing system is configured to detect irregular yawing at wind turbines. To this end, the computing system (i) for each respective turbine of an identified cluster of wind turbines: (a) obtains yaw-activity data indicative of the respective turbine's yaw activity during a window of time, and (b) based on obtained yaw-activity data, derives a yaw-activity-measure dataset having measures of the respective turbine's yaw activity during time intervals within the window of time, (ii) based on the respective yaw-activity-measure datasets for the turbines in the cluster, derives a cluster-level yaw-activity-measure dataset, (iii) evaluates the respective yaw-activity-measure dataset for one or more turbines in the cluster as compared to the cluster-level yaw-activity-measure dataset, (iv) based on the evaluation, identifies at least one turbine of the cluster that exhibited irregular yaw activity, and (v) transmits, to an output device, a notification of the irregular yaw activity at the at least one turbine.

Abstract: A first graph display processing unit displays, on a first graph, a temporal variation of first process data accumulated in a process data storage unit. A second graph display processing unit displays, on a second graph, a temporal variation of second process data accumulated in the process data storage unit, and moves a time range of the data displayed on the second graph in accordance with a change of the time pointed to by a second time cursor on the second graph. A time coordination unit stores the time Ta pointed to by a first time cursor and changes the time pointed to by the second time cursor to time Ta, and thereby causes second process data of the same time as that of the first process data displayed on the first graph to be displayed on the second graph.

Abstract: Described embodiments include methods and systems for managing client-side services. An intermediary may receive metadata from a first client device of the plurality of client devices. The metadata can include runtime characteristics of a first instance of a service that is incorporated into a client-side application or a web application. The first instance may execute on the first client device and request service data from the at least one server. The intermediary can detect an anomaly in the operation of the first instance of the service. The intermediary can identify an operation of the first instance of the service causing the detected anomaly. The intermediary can, responsive to the detected anomaly, cause delay, removal or modification of operations corresponding to the identified operation, in other instances of the service executing on the plurality of client devices.

Abstract: An offshore oil and gas platform has a power supply system with a cascaded arrangement for a black start. The power supply system includes a first power supply apparatus for providing power at a first energy level, an uninterruptible power supply arrangement configured to receive power from the first power supply apparatus, wherein the uninterruptible power supply is for powering at least one essential and/or safety critical component, and a second power supply apparatus for providing power at a second energy level to a main power distribution system, wherein the second energy level is higher than the first energy level, wherein the second power supply apparatus includes a power source and a high-power energy storage system capable of supplying power at the second energy level, and wherein the second power supply apparatus can receive and store energy from the first power supply apparatus.

Abstract: The present disclosure provides systems and methods for controlling a semiconductor manufacturing equipment. The control system includes an inspection unit capturing a set of images of the semiconductor manufacturing equipment, a sensor interface receiving the set of images and generating at least one input signal for a database server, and a control unit. The control unit includes a front end subsystem, a calculation subsystem, and a message and feedback subsystem. The calculation subsystem receives the data signal from the front end subsystem, wherein the calculation subsystem performs an artificial intelligence analytical process to determine, according to the data signal, whether a malfunction has occurred in the semiconductor manufacturing equipment and to generate an output signal. The message and feedback subsystem generates an alert signal and a feedback signal according to the output signal, and the alert signal is transmitted to a user of the semiconductor manufacturing equipment.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

Abstract: Illustrative embodiments of the disclosure provide a method and apparatus for assessing a comfort level of a driving system. A method for generating an assessment model for comfort level in a driving system comprises acquiring a first assessment from a user on a comfort level of at least one traveling operation of the driving system, and acquiring a measurement of a traveling indicator of the driving system when performing the at least one traveling operation. The method further comprises generating the assessment model for the comfort level in the driving system based on the first assessment, the measurement of the traveling indicator, and a second assessment from the user on an overall comfort level of the driving system.

Abstract: A method and system for distributed management and maintenance of remote transmitters, or beacons, via a remotely hosted integrated software platform and the interaction of the beacons with mobile devices in an environment where the beacons are located.

Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.

Abstract: A caregiver location system includes a computer configured to track a location of a caregiver in a healthcare facility. A caregiver identification (ID) tag is worn by a caregiver and has a tag transmitter configured to communicate with a plurality of receivers. The plurality of receivers and the computer cooperate to form a locating system that is operable to determine a location of the caregiver ID tag. The computer collects data over time related to a caregiver location within the healthcare facility and determines a problem area within the healthcare facility where a determined caregiver location is inaccurate.

Abstract: The present disclosure provides a computer-implemented method for recommending one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

Abstract: Novel tools and techniques are provided for implementing error detection in a network, and, more particularly, to methods, systems, and apparatuses for implementing error and/or fault detection in a network and/or media stream and providing options to address the error and/or fault in the network and/or media stream. In various embodiments, a computer might detect an error in a first network and send a notification indicating that the error has occurred. The notification might contain one or more options to address the error in the first network. The computer, a user device, a service provider device, or a content provider device might receive and display the notification containing the one or more options. The computer, the user device, the service provider device, or the content provider device might then select at least one of the one or more options to address the error in the first network.

Abstract: A digital design application plugin for content updates and delivery includes an export function and an import function. The export function extracts content items from a specified SKETCH file to a named file having a different file format, each content item having a path and one or more identifiers. In response to receiving a request to import from the named file to the specified SKETCH file, the import function updates the specified SKETCH file by parsing the named file for the path and the one or more identifiers; traverses the specified SKETCH file according to the path obtained from the named file for that content item; compares identifiers associated with that content item and the content itself to identify any changes from the named file; and modifies the content of the specified SKETCH file with the changes as indicated by the named file.

Abstract: Provided is an information processing device including a sensor control unit that acquires distance measuring sensor data detected by a plurality of distance measuring sensors and a data processing unit that obtains action recognition results of one or a plurality of users by analyzing the distance measuring sensor data. The information processing device further includes an output control unit that controls output based on the action recognition result.