Abstract: The present disclosure generally relates to one or more line replacement units (“LRUs”) for an airplane including a method for provisioning a second line replacement unit (“LRU”) using a first LRU in an airplane. The method includes providing, by the first LRU, a communication to the second LRU to request a certificate signing request (“CSR”) based on a public-private key pair generated by the second LRU; obtaining the CSR from the first LRU; providing the CSR and a certificate revocation request for a replaced LRU to a certificate authority (“CA”); obtaining a composite airline modifiable information (“AMI”) comprising a public key certificate associated with a private key generated by the first LRU; and providing the composite AMI to the first LRU.

Abstract: In various examples, upon receiving data comprising a plurality of key performance indicators (KPIs), an anomaly may be detected in a first KPI. An engine may apply rules associating two or more KPIs together to confirm, reject, or narrow the anomaly in the first KPI. Through this technology, the mean time for detecting an anomaly in a network may be reduced thereby preventing the potential for more serious anomalies in the network.

Abstract: Systems and methods of establishing service requests via a smart TV device are provided. A smart TV device can receive fault condition information. The smart TV device can establish a first communication session between the smart TV device and a server and can transmit a service request interaction, including the received fault condition information, to the server. The server can transmit the first service request interaction to a computing device in a contact center environment. The computing device can generate diagnostic information and can transmit the diagnostic information to the server, which can forward the diagnostic information to the smart TV device. The smart TV device can display a prompt to deflect the first service request interaction from the smart TV device to a mobile device of the user. The mobile device can establish a second communication session between the mobile device and the computing device in the contact center environment to complete the first service request interaction.

Abstract: A method is for generating a knowledge base useful in identifying and/or predicting a malfunction of a medical device. The method includes (a) providing virtual components, each corresponding to a component of the medical device; (b) creating a virtual model of the medical device using the virtual components; (c) rendering at least one virtual output parameter of the virtual model, based upon simulation of a malfunction of at least one of the virtual components; (d) providing the at least one virtual output parameter rendered, to the medical device software; (e) correlating a response of the medical device software to the at least one virtual output parameter rendered; steps (c) to (e) being repeated, based upon a plurality of different simulated malfunctions, and the plurality of different simulated malfunctions and responses of the medical device software correlated being used in the generating of the knowledge base on the medical device.

Abstract: The processing time monitoring device is intended to monitor processing time of the target device, and includes: a data acquisition unit that acquires time series data of the target device as input time series data; a time difference calculation unit that calculates a time difference between the input time series data and reference time series data, the time difference existing in a direction of a time axis; and a display unit that displays the time difference calculated by time difference calculation unit.

Abstract: A method for converting text to audio to improve a design of electronic mail messages includes converting, by a text-to-speech converter component executing on a first computing device, an electronic mail message into an audio file. The method includes analyzing, by an analysis engine executing on the first computing device, the electronic mail message, the audio file, and a transcript of the audio file to identify at least one attribute. The method includes receiving, by a recommendation engine executing on the first computing device, an identification of the at least one attribute. The method includes generating, by the recommendation engine, at least one recommendation for improving a design of the electronic mail message, based on the identification of the at least one attribute. The method includes providing, by the first computing device, to a second computing device, the audio file and the generated at least one recommendation.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Vehicle collision and/or smart home incident monitoring, damage detection, and responses are also described, with particular focus on the particular challenges associated with incident response for unoccupied vehicles and/or smart homes. Operating data associated with the autonomous vehicle and/or smart home may be received. Within the operating, an unusual condition indicative of a likelihood of incident may be detected. Based on the unusual condition, it may be determined that the incident occurred. Accordingly, a response to the incident may be determined. The response may be implemented by the autonomous vehicle and/or smart home.

Abstract: Systems and methods for electric power messaging and settlements including advanced energy settlements, messaging, and applications for electric power supply, load, and/or curtailment and data analytics associated with the same. Systems and methods for providing data analytics and customer or consumer guidance and controls are provided, and coupled with graphic user interfaces for interactive control and command of grid elements, design, specification, construction, management and financial settlement for data centers and/or microgrids, business and residential power consumption, control, management, messaging and settlements, mobile applications, web sites, marketing offers, optimal pricing for comparable energy plans, retail electric provider and direct consumer alternatives, network of power architecture, EnergyNet applications, software development kit, and application web-based storefronts.

Abstract: Technologies are provided for identifying individuals having a risk of non-adherence to or from a prescribed treatment program; for predicting and the risk, which may be determined as a forecast over a future time span; and evaluating it to further determine or invoke specific actions to mitigate the risk or otherwise improve likelihood of compliance. A singular spectrum analysis (SSA) is utilized to analyze temporal properties of a time series determined from measured or observational data to determine an emergent pattern. Based on this pattern, a risk of non-adherence, including relapse or absconding, over a future time interval by the individual may be determined and utilized to implement an intervening action.

Abstract: A method for tracking procedures performed on personal protection equipment (PPE) and actions of individuals includes the following steps. An article of PPE configured with a smart tag is provided to an individual prior to performance of a task. After the individual performs the task, the article of PPE is processed. Information is retrieved from the smart tag during at least one of: before, during and after processing the article of PPE. After the performance of the task, the individual's data is read and the individual enters into a designated area.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data from a plurality of sensors at a first point in time, analyzing the data to identify a first level of alertness of a user, predicting a second level of alertness that is required by the user to operate a machine at a second point in time that is subsequent to the first point in time, comparing the first level of alertness to the second level of alertness to generate a first comparison result, identifying a first type of a first notification based on the first comparison result, identifying a third point in time to provide the first notification based on the first comparison result, wherein the third point in time is subsequent to the first point in time and prior to the second point in time, and providing the first notification at the third point in time. Other embodiments are disclosed.

Abstract: A HART modem includes: a HART/Host communication conversion unit, which relays communication between a HART device and a diagnostic device or a host device; a communication waveform detection unit configured to record data sampled from HART communication signals transmitted and received to and from the HART device in a communication waveform temporary storage unit; a communication content monitoring unit configured to monitor contents of HART communication and instruct the communication waveform detection unit to start recording and stop the recording of data according to a signal acquisition timing specified by a user; and a waveform acquisition management unit configured to transmit data accumulated in the communication waveform temporary storage unit to the diagnostic device when the recording of the data is stopped.

Abstract: Systems and methods are provided for dynamic selection of anomaly detection options for particular metric data. Metric data corresponding to one or more configuration items of an information technology (IT) infrastructure is collected. A selected anomaly detection action option that applies to the metric data is identified. An action is performed using the metric data, based upon the selected anomaly detection action option. A dashboard graphical user interface (GUI) display results of the action.

Abstract: A bias estimation apparatus according to an embodiment estimates a bias included in a measured values by each sensor. The bias estimation apparatus includes a reference model builder, a temporary bias generator, a corrected measured value calculator, a similarity calculator, a similarity selector, a score calculator, and an estimated bias determiner. The reference model builder builds a reference model of the measured value packs. The temporary bias generator generates a temporary bias pack. The corrected measured value calculator calculates corrected measured value packs. The similarity calculator calculates a similarity of each corrected measured value pack. The similarity selector selects a part of the similarities according to their values from among the similarities. The score calculator calculates a score based on the selected similarities. The estimated bias determiner determines an estimated bias which is an estimated value of the bias based on the score.

Abstract: An operating method of a server in a wireless communication system comprises the steps of: receiving, from an electronic device, information on a battery state of the electronic device and information on a time period related to an operating mode of the electronic device; determining a time interval for minimizing battery consumption of the electronic device on the basis of the information on the battery state and the information on the time period; and transmitting information on the time interval for minimizing the battery consumption of the electronic device.

Abstract: In a detection apparatus that detects an anomaly of equipment, in a case where a plurality of types of anomalies occur, it is desired to detect which type of anomaly has occurred. Provided is a detection apparatus that includes a sensor data obtaining unit configured to obtain sensor data of a sensor installed in equipment, a model storage unit configured to store detection models that are individually trained for each anomaly using the sensor data in an anomaly period in which the anomaly has occurred, for a plurality of types of respective anomalies of the equipment, and a detection unit configured to detect presence or absence of the plurality of types of respective anomalies from the sensor data that has been newly obtained, by using the detection models corresponding to the plurality of types of respective anomalies.

Abstract: A hydraulic tank protection system is disclosed. The hydraulic tank protection system may include a sensor to detect a characteristic of a fluid, a fluid control device to control a flow of the fluid into or out of a reservoir of a hydraulic tank, and an electronic control module to: receive, from the sensor, information indicating the characteristic of the fluid, determine, based on the characteristic of the fluid, whether the fluid comprises a first type of fluid, and selectively provide a control signal to actuate the fluid control device to control the flow of the fluid into or out of the reservoir based on whether the fluid comprises the first type of fluid.

Abstract: An example of a server including a communication interface to receive telemetry data from a plurality of client devices. The telemetry data is to indicate a health of a client device from the plurality of client devices. The server further includes a prediction engine to process the telemetry data to determine the health of the client device with a prediction model to identify a hardware issue at the client device. The server also includes a diagnostic evaluator in communication with the prediction engine. The diagnostic evaluator is to request a local confirmation of the hardware issue from the client device upon identification of the hardware issue by the prediction engine. The local confirmation is determined at the client device via a diagnostic engine. The server also includes a reporter to report the hardware issue upon receipt of the local confirmation.

Abstract: A method and an apparatus for controlling interaction between a vehicle and a vehicle-mounted device are provided according to embodiments of the disclosure. The method includes: determining whether the vehicle is in a parking state; acquiring input operation information of a user, in response to determining the vehicle being in the parking state; determining whether there is as operation matching the input operation information based on the input operation information; and sending control information for executing the operation to the vehicle-mounted device, in response to determining there being the operation matching the input operation information. The embodiment achieves controlling the vehicle-mounted device based on the vehicle state and the user input.

Abstract: An actuator of a process control device continuously monitors actuator force and records high force values at each position point by continuously executing a routine in a processor of the actuator. The routine includes receiving from a position sensor a current position value indicating a position of a valve element in the valve, and from a force sensor a current force value indicating a force applied by the actuator. The routine also includes retrieving, from a memory device coupled to the processor, a previous force value measured at the current position, and comparing the current force values for the current position with the previous force value for the current position. If the current force value for the current position exceeds the previous force value for the current position, the routine replaces the previous force value for the current position with the current force value for the current position in memory.

Abstract: The present invention relates to a method and a device for splitting a composite signal received from a multi-composite sensor, and more particularly, to a method and a device for splitting a composite signal received from a multi-composite sensor in which a composite signal, in which various detection signals for a temperature, humidity, gas leakage, fire, smoke, and an organic gas are mixed and integrated into one signal, is split into each individual detection signal and recognized.

Abstract: A fire alarm communication device having a first and second output voltage which are constant during normal operation of the fire alarm communicator.

Abstract: Mechanisms are provided to implement a hybrid machine learning (ML) anomaly detector comprising an ensemble of unsupervised ML models and a semi-supervised ML model. The ensemble of unsupervised ML models are executed on log data to generate, for each entry in the log data, a predicted anomaly score and corresponding anomaly classification label of the entry. A partially labeled dataset is generated based on a selected subset of entries and other unlabeled log data in the log data. A similarity analysis of the unlabeled log data with entries in the selected subset of entries is performed and anomaly classification labels of the selected subset of entries are propagated to the other unlabeled log data based on the similarity analysis.

Abstract: Responsive to irradiation of a charged particle beam, emission from sample is acquired in the form of spectral data. The spectral data is decomposed by a machine learning estimator to abundances and spectral components based on a character of the detector. Images showing compositional information of the sample are generated based on the abundances and the spectral components.

Abstract: In an example, a method for determining whether to perform aircraft maintenance is described. The method comprises selecting groupings of sensors and/or parameters associated with an aircraft type. The method comprises receiving feature data that corresponds to each grouping of sensors and/or parameters. The method comprises determining, from the feature data, values for predetermined operational metrics. The method comprises comparing the values to values for predetermined operational metrics that correspond to at least one other flight of the aircraft. The method comprises determining, based on comparing the values for the predetermined operational metrics, values of additional operational metrics. The method comprises training a machine learning model using at least the values for the additional operational metrics.

Abstract: An industrial automation system that allows for communication between an operator and a processing unit, which includes contextual information, such as data, and retrieval of historical messages, for a processing unit when abnormal operational conditions are encountered, resulting in faster responses and more complete information to address the abnormal condition.

Abstract: Electrical component location is provided. Employed location techniques may include providing a signal, having components to be located sense the signal and report back the sensed signal, and determining relative locations for one or more of the components using the sensed signals reported by the components.

Abstract: An apparatus, method, and a non-transitory programmed medium provide real time, in-situ, persistent monitoring of a pump for the presence of anomalies and controlling pump operation to avoid a failure. Real time operating data is compared to profiles to indicate out of limit operation and to generate dynamic control signals. A vibration sensor which measures amplitude of vibration generated by the pump and at least one thermocouple provide data to a first processor collocated with the pump to enable low latency reaction. Spectral analysis is performed by the first processor. Additional operating parameter values are obtained and provided to a second processor, a remote processor or a cloud server. At least one of the processors provides signals to modulate controls to vary engine speed or shut down the engine. A cellular modem and a satellite modem interface the system and external nodes. Data collected are correlated with operating data to generate profiles indicative of conditions.

Abstract: A method may include providing a first pulse width modulation (PWM) signal to a microcontroller unit (MCU) included at a cooling fan. The method may further include receiving information from the MCU identifying a duty cycle of a second PWM signal generated by the MCU, the duty cycle of the second PWM signal determined by the MCU based on a duty cycle of the first PWM signal and based on a tachometer signal received from a rotor included at the cooling fan. The present current consumption of the cooling fan may be determined based on the duty cycle of the second PWM signal.

Abstract: Techniques are provided for adaptive resource allocation for workloads with initial condition setting. One method comprises obtaining a dataset comprising data from previous executions of a workload, wherein the data comprises a plurality of different resource allocations and parameterizations of the workload; determining an initial allocation of an amount of a resource for the workload based on a regression model characterizing a behavior of the workload, the data, a predefined service metric and a characterization of a target infrastructure; and initiating an application of the determined initial allocation of the amount of the resource for the workload. A performance of one or more of the plurality of workloads can be evaluated based on a percentage of time within a predefined error range. The regression model can be updated and/or replaced over time with new data for additional executions of the at least one workload.

Abstract: An example method can comprise creating a non-linear neural network based model of a system based on historical operational data of the system and receiving first sensor data from a plurality of sensors associated with the system. Predicted next sensor data can be determined based on the received first sensor data and the non-linear network model. Second sensor data can be received from the plurality of sensors, and a measure of deviation between the predicted next sensor data and the received second sensor data is calculated. In response to the measured deviation exceeding a predefined threshold; it can be determined that a fault has occurred.

Abstract: A configurable lighting system includes a coordinator device and a first lighting device that wirelessly communicates with the coordinator device. The system further includes a user device having a display interface that displays representations of multiple lighting devices including a representation of the first lighting device. The user device is configured to indicate the representation of the first lighting device in the display interface in response to a first user input received at the first lighting device. In response to a second user input received at the user device, the second user input associating the representation of the first lighting device with a zone of a physical area, the coordinator device associates the first lighting device with a second lighting device associated with the zone of the physical area.

Abstract: The disclosed embodiments provide a system that estimates a remaining useful life (RUL) for a fan. During operation, the system receives telemetry data associated with the fan during operation of the critical asset, wherein the telemetry data includes a fan-speed signal. Next, the system uses the telemetry data to construct a historical fan-speed profile, which indicates a cumulative time that the fan has operated in specific ranges of fan speeds. The system then computes an RUL for the fan based on the historical fan-speed profile and empirical time-to-failure (TTF) data, which indicates a TTF for the same type of fan as a function of fan speed. Finally, when the RUL falls below a threshold, the system generates a notification indicating that the fan needs to be replaced.

Abstract: Systems and methods for data collection and detection of motor noise patterns are disclosed. A system may include a data collector communicatively coupled to at least one input channel, wherein the at least one input channel is operatively coupled to a vibration detection facility structured to detect a motor noise pattern of a motor, a library to store the detected motor noise pattern, an interface circuit structured to make the detected motor noise pattern available to a motor noise pattern data marketplace including a plurality of motor noise patterns from a plurality of motors, and a user interface for accessing at least one of the plurality of motor noise patterns of the motor noise pattern marketplace.

Abstract: An apparatus for predicting an injury level of a user of a vehicle may include: a communication circuit configured to communicate with an external device; a memory configured to store a genetic algorithm and a machine learning model; and a processor electrically connected with the communication circuit and the memory. The processor may be configured to: obtain, via the communication circuit, traffic accident data associated with a traffic accident; select input data, which includes at least a part of the traffic accident data, for training of the machine learning model, the input data selected using the genetic algorithm; train the machine learning model using the input data; and predict an injury level of the user of the vehicle using the trained machine learning model when the training of the machine learning model is completed.

Abstract: Devices, methods, and systems for hands free facility status alerts are described herein. One system includes a computing device for hands free building automation notifications, comprising a memory and a processor to execute executable instructions stored in the memory to: receive a notification of an event from a building automation system, modify the notification to include only pre-defined attributes of the notification that are displayable on a user interface of a wearable device, and transmit the modified notification to the wearable device.

Abstract: In order to improve the adaptability of diagnosis of an operating state of a field device, a field device 10 according to the present disclosure has a diagnoser 17 configured to diagnose an operating state of the field device 10 by hierarchically implementing a plurality of diagnostic processes. The diagnoser 17 can select whether to enable or disable a diagnostic result of at least one diagnostic process of a plurality of diagnostic processes in a diagnostic process after the one diagnostic process.

Abstract: A vehicle management system includes a vehicle cabin interior information acquisition unit, acquiring vehicle cabin interior information indicating a situation in a vehicle cabin of a vehicle, a dirt factor element recognition unit recognizing a dirt factor element related to dirt in the vehicle cabin based on the vehicle cabin interior information acquired by the vehicle cabin interior information acquisition unit, and a vehicle cleaning handling unit transmitting vehicle cleaning information about cleaning of the vehicle to a user terminal or a maintenance management server when the dirt factor element recognition unit recognizes the dirt factor element, the user terminal being used by a user of the vehicle, the maintenance management server managing maintenance of the vehicle.

Abstract: An exemplary method for qualifying a gas turbine engine component includes creating a first set of substantially identical gas turbine engine components via a uniform manufacturing procedure, determining a set of as-manufactured parameters of each gas turbine engine component in the first set of substantially identical gas turbine engine components, determining a variance model of the first set of substantially identical gas turbine engine components, and determining a plurality of predicted response models based at least in part on the variance model, each of the predicted response models corresponding to one of an engine type and an engine assembly, and each of the predicted response models being configured to determine a predicted response of including a gas turbine engine component from the first set of substantially identical gas turbine engine components in the corresponding one of the engine type and the engine assembly.

Abstract: The present disclosure relates to providing a continuous, autonomous monitoring system of environmental parameters, harmful gases and greenhouse gases in animal stables. A network of internet-of-things (IoT) sensors can be installed in a stable that produce alarm signals in case of danger or if predetermined threshold values are exceeded. The sensors work continuously and communicate through different wireless protocols with a dedicated cloud platform. The cloud platform stores the values received by the various sensor units and transmitted via dedicated monitoring devices and elaborates them applying data analysis processes.

Abstract: The invention relates to implementing a system that monitors a process across multiple monitored computer systems. According to an embodiment of the present invention, the system comprises: a communications network; two or more monitored computer systems; an active monitoring agent computer system; and a database; the processors of the two or more monitored computer systems being configured to execute one or more steps of a process; the processor of the active monitoring agent computer system being configured to receive a predefined flow configuration for the process, generate a query to retrieve log data for the process, generate an alert if the process exceeds the maximum time to wait for completion for any step of the process, and store the log data in the database.

Abstract: A method and an apparatus for reducing the influence of interference in the evaluation of at least one received signal of a radar sensor, in particular of a radar sensor installed in a vehicle, is described. In predetermined operating situations, predetermined transmitted signals are emitted and reflected partial signals are received, and the signals received for the predetermined operating situations are stored in order to determine an interference spectrum and the influence of interference is reduced by taking the interference spectrum into consideration in the context of signal evaluation.

Abstract: The present disclosure provides a system and a method for monitoring semiconductor manufacturing equipment. The system includes a sensor, a circuit, and an analysis unit. The sensor provides a sensor signal. The circuit receives the sensor signal and generates an input signal. The analysis unit includes a signal management platform, receiving the input signal and performing a first data process to generate a first data signal; a diagnosis subsystem, receiving the first data signal from the signal management platform and performing a health status monitoring process to generate a second data signal; and a decision subsystem, performing a determination process to generate a third data signal according to the second data signal from the diagnosis subsystem. The diagnosis subsystem generates a feedback signal according to the third data signal, and the signal management platform transmits the feedback signal to the semiconductor manufacturing equipment.

Abstract: Systems, products and methods for enabling symptom verification. Verifying a symptom may include eliminating repeated symptom definitions or eliminating symptoms having low accuracy. A computer system enables verification of a symptom including a rule for detecting a set of events related to a given problem. The computer system includes a symptom database which stores the symptom, a specimen database which stores a specimen including a set of events detected according to a rule of a certain symptom, and an analysis unit which analyzes the specimen stored in the specimen database using a new symptom in order to determine whether to add the new symptom to the symptom database. The present disclosure also includes a method and a computer program for enabling verification of a symptom including a rule for detecting a set of events related to a given problem.

Abstract: A method for image inspection on printed products in a printing material processing machine. Printed products are recorded and digitizing and the recorded images are compared with a digital reference image to find image areas with distorted regions. Suitable rectification factors are calculated and the digital reference image is rectified with suitable rectification factors for the distorted image areas. The modified digital reference image is then compared to images recorded during the production run. If deviations are found, the printed products are found defective and removed. The computer also identifies image areas in the reference image that do not have enough edges for calculating suitable rectification factors and inserts anchors into the image areas. The anchors are printed, recorded and digitized, as they become part of the recorded digital printed image. In that case, the computer calculates the local rectification factors by way of the anchors.

Abstract: An apparatus and method for predicting distress on a physical component. The method can include obtaining distress data. The distress data can be used to determine a distress rank. The distress rank can be compared to a distress output provided by a kernel that use parameters related to the physical component. The comparison can result in a prediction model for the physical component.

Abstract: This disclosure relates generally to methods and systems for determining whether at least a first component and a second component of a personal protection (PP) configuration are compatible so as to be assembled into an approved PP configuration, responsive to being compared against at least one predetermined criterion. Included is a smart tag for each of the first and second components. The first and second smart tags include respective first and second data. A data acquiring system is provided for acquiring the first and second data and a data processing system processes the acquired first and second data for determining if the first and second components are compatible to be assembled as an approved PP configuration.

Abstract: Systems and methods provide advanced network tracing techniques in the data plane. A data plane packet processing system can receive a request to trace a class of network traffic. The system can receive a plurality of packets. The system can determine on a per packet basis whether to trace the plurality of packets. The system can mark a trace flag associated with a first packet in response to determining that the first packets corresponds to the class of network traffic. The system can capture a trace entry for the first packet in response to determining that the tracing flag has been marked. The trace entry can be configured to include or exclude a packet count, a packet header, a packet payload, and/or processing information. In addition, the trace buffer for storing trace entries can be configurable (e.g., fixed-size buffer, circular buffer, or dynamic buffer).

Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a plurality of times within a first time period; determine a first time at which a first cumulative sum value is at a first maximum; identify a second cumulative sum value at a second maximum at a second time occurring after the first time; compare the identified second cumulative sum value to a threshold; and based on determining that the identified second cumulative sum value does not exceed the threshold, determine that a first fault ended at the first time.

Abstract: Example embodiments of this disclosure provide a method, an apparatus, a server, a storage medium, and a system for call processing. The method includes: monitoring, in real time, a call processing process of an artificial intelligence AI robot, to obtain an interaction text of the call, where the interaction text includes a recognition result of a user question and a reply to the user question; obtaining a service level value of the AI robot for the call based on the obtained interaction text; and when the service level value meets a first condition, performing an intervention operation on the call by using a target agent device.