Abstract: Systems and methods for detecting suspicious malware by analyzing data such as transfer protocol data or logs from a host within an enterprise is provided. The systems and methods include a database for storing current data and historical data obtained from the network and a detection module and an optional display. The embodiments herein extract information from non-encrypted transfer protocol metadata, determine a plurality of features, utilize an outlier detection model that is based on historical behaviors, calculate a suspiciousness score, and create alerts for analysis by users when the score exceeds a threshold. In doing so, the systems and methods of the present invention improve the ability to identify suspicious outliers or potential malware on an iterative basis over time.

Abstract: A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to determine a perception zone of interest, via a trained perception model, based on at least one of a vehicle parameter or planning data, wherein the vehicle parameter comprises at least one of a vehicle direction or a vehicle speed and the planning data comprises a route and trajectory to be traversed by the vehicle; determine a vehicle route and trajectory based on a subset of sensor data, wherein the subset of sensor data corresponds to the perception zone of interest; and operate the vehicle to traverse the vehicle route and trajectory.

Abstract: The invention relates to: a method for monitoring a process engineering installation, in which a model of the process engineering installation is used to ascertain values of at least one performance parameter of the process engineering installation from actual values of at least one operating parameter of the process engineering installation that occur during operation of the process engineering installation, wherein the model is used to ascertain comparison values of the at least one performance parameter of the process engineering installation from setpoint values of the at least one operating parameter, and wherein mutually corresponding values and comparison values of the at least one performance parameter are taken as a basis for ascertaining at least one performance gap in the operation of the process engineering installation and to a process engineering installation.

Abstract: Scheduling multiple processes with varying delay sensitivity is disclosed herein. In one example, a processor device iteratively executes a processing workload that includes a fixed-execution-time process and an adjustable-execution-time process. During each iteration of the processing workload, the processor device first determines, for that iteration, a maximum cycle time interval during which both the fixed-execution-time process and an adjustable-execution-time process will execute. The processor device further determines a maximum execution time interval for the adjustable-execution-time process, based on the maximum cycle time interval and a fixed execution time interval for the fixed-execution-time process. The processor device then modifies an adjustable execution time interval for adjustable-execution-time process in the current iteration of the processing workload based on the maximum execution time interval.

Abstract: A system for electric aircraft fleet management for at least an electric aircraft is provided. The system includes a computing device communicatively connected to at least an electric aircraft, wherein the computing device is configured to receive measured data from the at least an electric aircraft, generate the aircraft performance model output as a function of the measured data, transmit the aircraft performance model output to a user, receive a flight plan from the user; and manage the at least an electric aircraft using the flight plan.

Abstract: A determination device may include an acquisition unit configured to acquire first degradation values that indicate respective degradation degrees of a plurality of components of a same type, and regard the respective first degradation values of the plurality of components as respective first usage values of a plurality of usage environments in which the plurality of components are used. The determination device may include a determination unit configured to determine, based on a target value that indicates a predetermined target degradation degree of the plurality of components, a first combination of the respective first degradation values of the plurality of components and the respective first usage values of the plurality of usage environments.

Abstract: Systems and methods for monitoring an HVAC&R system employ a monitoring agent that uses observations of evaporator and condenser intake temperatures, evaporator discharge temperature, and a compressor input power parameter to learn operating characteristics of the HVAC&R system in newly maintained condition. Thereafter, the agent continuously or regularly computes a relative coefficient of performance (COP) for the system under subsequent observed ambient conditions, and relates the present instantaneous efficiency of the HVAC&R system under the observed ambient conditions to the instantaneous efficiency when the system was in newly maintained condition. The relative COP can be used to detect system degradation and quantify the energy usage and cost attributable to the degradation. The agent can take appropriate actions to prevent/minimize damage based on the degree of degradation detected, including shutting off power to the HVAC&R system.

Abstract: A method and a device for monitoring a state of a physical passenger transport system are described. The method includes monitoring the state of the passenger transport system using an actualized digital replica dataset (ADRD) which reproduces characterizing properties of components of the passenger transport system in an actual configuration in a machine-processable manner after assembly and installation thereof in a building. At least one detection device is arranged in the physical passenger transport system and detects changes in at least one characterizing property that occur due to wear. These changes are transmitted to the ADRD, wherein changes and change trends in the components are monitored and evaluated using calculations and/or using static and dynamic simulations.

Abstract: A system receives and automatically transforms utility pipe attribute data and pipe break data. The missing and/or incorrect entries in the pipe attributes and/or break data is automatically identified and correct values for these entries are is automatically imputed to generate improved datasets of the pipe attribute data and break data. The improved data can be used to build a model with machine learning. Predictions of future likelihood of failure for pipe sections in a network of pipes can be made based on the model. A national database can be created that is filled with environmental data that has been transformed, optimized, merged, and imputed. The national database can be used for many customers to save computational costs. The national database can be used to build the failure prediction model for utility companies thereby saving computational costs.

Abstract: An impedance measurement jig may include a first contact plate, a second contact plate, a cover plate, a plug, and an analyzer. The first contact plate may make electrical contact with an ESC in a substrate-processing apparatus. The second contact plate may make electrical contact with a focus ring configured to surround the ESC. The cover plate may be configured to cover an upper surface of the substrate-processing apparatus. The plug may be installed at the cover plate to selectively make contact with the first contact plate or the second contact plate. The analyzer may individually apply a power to the first contact plate and the second contact plate through the plug to measure an impedance of the ESC and an impedance of the focus ring. Thus, the impedances of the ESC and the focus ring may be individually measured to inspect the ESC and/or the focus ring.

Abstract: A memory device may include a time counter which is configured to output a count signal according to a predetermined time interval; a use history circuit which is configured to write an operating time value based on the count signal and generate and write a validation value corresponding to the operating time value; and a command decoder which is configured to receive an instruction from a memory controller. The instruction may be according to an operation mode that is determined based on the operating time value and the validation value.

Abstract: Diagnosing vehicle anomalies efficiently is dependent upon the expertise of the repair technician, but also the availability of resources. As vehicles have become increasingly computerized, repair technicians have become increasingly specialized in a smaller number of vehicle models. Dealerships and large repair shops have an advantage in that they can more easily afford to obtain specialized electronic tools. However, repair technicians in smaller repair shops often are more skilled, but are unable to afford access to advanced electronic tools and software. A system for using remotely located resources to improve the diagnosis and resolution of vehicle anomalies, including the use of expert technicians and vehicle-specific databases, is disclosed.

Abstract: Technologies are disclosed for the automated, rule-based generation of models from arbitrary, semi-structured observation data. Context data of received observation data, like data describing the location of on which a phenomenon was observed, is used to identify related observations, to generate entities in a model describing the observed data and to assign observations to model data. Mapping rules may be used for the on-demand generation of models, and different sets of mapping rules may be used to generate different models out of the same observation data for different purposes. Further, observation time data may be used to observer the temporal evolution of the generated model. Possible use cases of the so generated models include the interpretation of observation data that describes unexpected operation conditions in view of the generated model, or to determine how a monitored system reacts on changing conditions, like increased load.

Abstract: A machining condition searching method includes: generating a machining condition to be set in a machining device; collecting a machining state; collecting the machining result performed under the machining condition; calculating an evaluation value of the machining on the basis of the machining result; constructing an evaluation value prediction model predicting, on the basis of the machining condition, the machining state, and the evaluation value, an evaluation value corresponding to the machining condition that has not been tried; and constructing the evaluation value prediction model on the basis of a change degree in the relationship between the machining condition and the evaluation value, and performs weighting based on the machining state on the evaluation value prediction model. The machining condition to be tried next is generated using a predictive value of the evaluation value. Each of the above processes is repeatedly performed until it is determined to end a search.

Abstract: The present disclosure relates to methods and systems for carrying out performance measurement monitoring. Specifically, a consumer seeking performance measurement monitoring transmits a request to a management service producer that includes the parameters of the monitoring, such as the type of data to be monitored, a granularity period and one or more threshold values. In response, the management service producer communicates with a network function to carry out the monitoring. In particular, for each granularity period, a monitoring value is initialized. Then, either at the end of the granularity period or at intervals throughout the granularity period, the monitoring value is measured. If, at the time of measurement, the measurement value exceeds any one of the threshold values, a notification is transmitted to the consumer. Otherwise, monitoring continues for the remainder of the granularity period and/or is repeated for subsequent granularity periods.

Abstract: An intelligent control system for an electric curtain is provided. The intelligent control system includes a control apparatus, a monitoring apparatus, a sensing apparatus, a curtain apparatus, a lighting apparatus, and an air conditioning apparatus. The control apparatus is correspondingly coupled to the monitoring apparatus, the sensing apparatus, the curtain apparatus, the lighting apparatus, and the air conditioning apparatus. The monitoring apparatus is able to capture interior images, the sensing apparatus is able to sense exterior illuminance, and the control apparatus is configured to determine an opening degree of the curtain apparatus, illumination brightness of the lighting apparatus, and an air conditioning setting of the air conditioning apparatus by comparing different interior illuminance values, which are obtained from the interior images captured by the monitoring apparatus at different levels of interior illuminance, with an exterior illuminance value sensed by the sensing apparatus.

Abstract: Log messages are compressed, searched, and decompressed. A dictionary is used to store non-numeric expressions found in log messages. Both numeric and non-numeric expressions found in log messages are represented by placeholders in a string of log “type” information. Another dictionary is used to store the log type information. A compressed log message contains a key to the log-type dictionary and a sequence of values that are keys to the non-numeric dictionary and/or numeric values. Searching may be performed by parsing a search query into subqueries that target the dictionaries and/or content of the compressed log messages. A dictionary may reference segments that contain a number of log messages, so that all log message need not be considered for some searches.

Abstract: An apparatus for carbon emission optimization using machine-learning, apparatus including a processor and a memory containing instructions configuring the processor to receive an integrated logistics data collection, determine a projected carbon emission as a function of the integrated logistics data collection, generate a transportation plan as a function of the integrated logistics data collection and the projected carbon emission, continuously receive a current logistics datum from an external source, and iteratively modify the transportation plan based on the current logistics datum.

Abstract: A server includes an interface configured to communicate with a plurality of vehicles; and a processor, programmed to, send a query to the plurality of vehicles, the query identifying types of vehicle data and indicating an initial sampling rate, responsive to receiving the vehicle data sampled by the vehicles, process the vehicle data to obtain a feature result including an estimated value and a variance extending from the estimated value, and responsive to the variance being greater than a first threshold, send a first updated query indicating an increased sampling rate to the plurality of vehicles.

Abstract: Techniques for dynamically configuring a multi-site storage system such as a metro cluster using input/output (IO) response time (RT) hints from a host computer. The techniques include receiving IO RT hints at each storage appliance of the multi-site storage system from the host computer, which is initially identified as “local” or “remote” relative to a physical location of the storage appliance. The techniques further include modifying, by the storage appliance, an initial local or remote identification of the host computer relative to the physical location of the storage appliance based on the received IO RT hints, dynamically changing, by the storage appliance, states of IO paths between the host computer and nodes of the storage appliance based on the modified local or remote identification of the host computer, and providing, by the storage appliance, notification of the changed states of the IO paths to the host computer.

Abstract: Systems and methods for remotely monitoring digital signage. Display assemblies are provided, each having an electronic display, an additional component for operating the display assembly, a sensor for monitoring conditions at the display assembly, a local controller, and a network connection device. Remote server(s) execute software which establishes a data connection with each of the display assemblies, receives and stores data measurements made by the sensors of the display assemblies in a sensor specific and a display assembly specific manner, receives user data requests, and for each of the user data requests, generates data output displays including a user specified subset of the data measurements associated with a user specified subset of the sensors and a user specified subset of the display assemblies indicated in the respective user data request.

Abstract: Methods and program products for building a workout are disclosed. In an embodiment, a method for generating a workout includes the steps of receiving user input indicating features of a desired workout, generating a workout, wherein the workout comprises a plurality of intervals, and wherein a first interval comprises an interval intensity and an interval duration, and initiating a graphical display that conveys the number of intervals making up the workout and the interval intensity and the interval duration of the first interval.

Abstract: An apparatus and methods for determining carbon emissions of a requested shipment are provided. A computing device of apparatus may be configured to receive a customer request for a shipment of a moveable good. In one or more embodiments, computing device may be configured to provide shipment elements of the shipment as a function of customer request. In one or more embodiments, carbon emission data describing carbon emissions of shipment may be determined by computing device as a function of carbon emission data and/or shipment elements.

Abstract: Disclosed is a method for structural damage monitoring for whole-machine life test of small turboshaft engine, comprising: determining a failure mode based on load borne by typical components of the small turboshaft engine in a service process and common failure forms, screening a structural damage index of a non-major component based on a coupling relationship between structural damages, selecting a destructive damage of components in the small turboshaft engine and an indirect damage causing changes in material properties of key component, planning a structural damage monitoring means based on the failure mode, the structural damage index, the destructive damage, and the indirect damage, designing an accelerated mission test platform of the small turboshaft engine, and designing a torque automatic loading scheme of an eddy current dynamometer, and testing the small turboshaft engine, and performing damage monitoring of the small turboshaft engine based on the planned structural damage monitoring means.

Abstract: A vehicle telematics system including a Wi-Fi module, the telematics system being configured, in dependence on at least one predetermined vehicle condition, to selectively activate or maintain activation of the Wi-Fi module when the vehicle is not in use.

Abstract: In order to provide an estimation apparatus estimating a true value from observation data without determining a state equation for a target to be controlled, the estimation apparatus includes a prediction section and an update section. The prediction section executes linear prediction on time-series data, which includes observation values acquired from a sensor attached to the target to be controlled, to calculate an estimate value before update relating to a state of the target to be controlled. The update section updates the estimate value before update by using the observation value acquired from the sensor. The prediction section may calculate the estimate value before update by weighted linear prediction on the time-series data of the observation values.

Abstract: A network device is provided for distributing computing operations via data communication in a network, the device including: a network interface device to connect the network device to the network; and a processor device to divide an arithmetic operation into partial arithmetic operations to be calculated locally and partial arithmetic operations to be calculated remotely, to locally calculate the partial arithmetic operations to be calculated locally, and to provide them as locally calculated partial arithmetic operations, the network interface device being further to send the partial arithmetic operations to be calculated remotely to the network and to receive them as remotely calculated partial arithmetic operations, and the processor device being further to calculate the arithmetic operation based on the remotely calculated partial arithmetic operations and the locally calculated partial arithmetic operations.

Abstract: Methods and apparatus of a system for vehicles comprising a vehicle suspension, a sensor operable to measure an operational characteristic of the vehicle suspension, and a processor in communication with the sensor that is operable to suggest an operational setting of the vehicle suspension in response to an input from the sensor corresponding to the operational characteristic. A method for adjusting a suspension of a vehicle may comprise receiving suspension data with a processor, calculating a suspension setting suggestion with the processor, communicating the suspension setting suggestion to a user interface device, and adjusting the suspension based on the suspension setting suggestion.

Abstract: A control system for operating a plurality of air compressors collectively supplying compressed air to a manufacturing facility is disclosed which includes a demand forecast module configured to estimate the manufacturing facility's demand for the compressed air at a predetermined future time, a dynamic adjustment module configured to acquire a current air pressure from the manufacturing facility, the dynamic adjustment module combining the current air pressure and the estimated manufacturing facility's demand for compressed air to make a final forecast, and an optimization module configured to determine a target operating combination of the plurality of air compressors at the predetermined future time based on the final forecast and a current operating combination of the plurality of air compressors.

Abstract: In some implementations, techniques are described for detecting abnormal installations in a property monitored by a monitoring (e.g., security) system. For instance, an aberration engine may be used to detect an abnormal sensor or system installation within a property based on comparing detected installation data against local installation patterns of local providers within a certain proximity to the property. In some examples, the attributes (e.g., installation time, components used, number of tests performed, etc.) of a monitoring system installation, including installation of components of the monitoring system, may be compared to average installation times of other nearby installations to detect abnormalities in the installation.

Abstract: A system for controlling the aggressiveness of a tailings processor that re-threshes tailings received from the grain cleaning system in an agricultural harvester is provided with at least one imaging device to image a grain sample. At least a portion of the grain sample has at least once passed through the tailings processor. A controller is connected to the imaging device and to an arrangement to automatically adjust the aggressiveness of the tailings processor. The controller is configured to automatically adjust the aggressiveness of the tailings processor using the arrangement, based on based on the level of broken grain and/or unthreshed grain determined from the image from the at least one imaging device by comparing the level of broken grain and/or unthreshed grain to the desired level.

Abstract: Methods and systems for secure geolocation-based data access control include a server that captures a data access request from a remote device and determines whether the requestor geolocation corresponds to a non-restricted zone or a restricted zone. The server determines whether the requestor identity has permission to receive a full view or a masked view of data. The server retrieves data responsive to the data query and generates a response to the data access request, the response including a full view or a masked view of the retrieved data. When the generated response comprises a masked view, the server determines that the user of the remote device has requested a full view of the responsive data, authenticates the remote device using the requestor identity, and updates the generated response to comprise the full view of the retrieved data. The server device transmits the generated response to the remote device.

Abstract: There is provided an apparatus and method, the apparatus comprising storage circuitry to store event information associated with instructions occurring between instrumentation points. The event information indicates a plurality of different types of events expected to occur during execution of the instructions. The event information comprises, for each event, type information indicating a type of that event and an expected number of occurrences of that event. The apparatus is also provided with monitoring circuitry comprising a plurality of programmable counters. The monitoring circuitry is responsive to a start instrumentation point, to assign at least a subset of the plurality of programmable counters to measure, during execution of the program instructions, occurrences of the plurality of different types of events identified in the event information.

Abstract: A design supporting apparatus includes a processor configured to sort three-dimensional models of respective parts included in a module where plural parts are combined for each type of the parts and execute processing of displaying results of determination of whether or not the respective parts meet predetermined requirements related to assemblability for each type of the parts, the results being determined using the three-dimensional models, for each part in predetermined display forms according to the results of the determination.

Abstract: The present invention provides a method of scaling the reliability of the service of a hierarchical computing network with large number of participant nodes servicing large number of users with large volume of data by adding/subtracting a service node to/from a service node group to linearly increase/decrease the network service uptime. Also disclosed is a method of incentivizing the owner of a participant computer in a general computer network to continuously and reliably share its spare capacity and capability by rewarding/punishing the participant computer with increased/decreased uptime value if a fault incident of the participant computer is/is not detected; and making the uptime value of the participant computer visible to end users.

Abstract: Embodiments of the present disclosure provide a method for traffic flow control considering a bus stop in a connected environment, comprising: determining an influence region of the bus stop; dividing the influence region of the bus stop into influence subregions; collecting vehicle information of each of the influence subregions at time t; comparing lane changing pressures of different influence subregions of the bus stop; determining a predicted count of lane changing vehicles of each of the influence subregions based on lane changing pressure differences; and selecting optimal lane changing vehicles to complete lane changing. A vehicle density distribution in the influence region of the bus stop can be dynamically regulated through vehicle information interaction in the connected environment, thereby making the spatial distribution of the traffic flow more balanced, saving vehicle traveling time, and improving the operation efficiency of the traffic flow.

Abstract: An industrial system includes an electronic badge worn or otherwise transported by an industrial vehicle operator. The electronic badge has a housing, a processor, and a transceiver coupled to the processor that communicates on a personal-area network with a badge communicator that is provided on an industrial vehicle when the electronic badge and the badge communicator are in range of each other. Further, an activity sensor collects activity information about the industrial vehicle operator as the industrial vehicle operator performs work tasks. The electronic badge exchanges data collected by the activity sensor with the industrial vehicle, for communication to a remote server. An electronic message is communicated to the industrial vehicle for output to a display thereon, and the electronic message defines an assigned task that is based upon previously collected data from the activity sensor.

Abstract: A system for monitoring and controlling a fluid flow network has a plurality of flow control valves, each operable manually by a removable key engageable with a valve spindle. The system includes a database that records the location of the valve and a turn profile for each valve in the network. A mobile communications device detachably mounted on the key transmits data to the database and receives data from the database, and includes orientation means with at least one of a gyroscope, an accelerometer, a compass, and a processor. The processor is controlled by a software program to (i) communicate with the central database and to receive characteristics for the valve at the transmitted position, (ii) receive signals from the orientation means and calculate the instantaneous rotational speed of the valve spindle and its amount of rotation, and (iii) control rotation of the valve spindle.

Abstract: Systems, apparatuses, and methods related to a controller for managing metrics and telemetry are described. A controller includes a front end portion, a central controller portion, a back end portion, and a management unit. The central controller portion can include a cache to store data associated with the performance of the memory operations, metric logic configured to collect metrics related to performance of the memory operations, load telemetry logic configured to collect load telemetry associated with performance of the memory operations within a threshold time, and a storage area to store the collected metrics and the collected load telemetry. The management unit memory of the controller can store metrics and load telemetry associatAND ed with monitoring the characteristics of the memory controller, and based on the stored metrics and load telemetry, alter at least one characteristic of the computing system.

Abstract: The present invention relates to a system and a method for detecting water break-through at an oil and/or gas production site comprising two or more oil and/or gas producing well(s) (3a) and/or well string(s) (3a). The present invention utilizes chemical in-flow tracers and allows for simultaneous monitoring of water breakthrough for two or more oil and/or gas producing well(s) (3a) and/or well completion(s) at centralized down-stream location.

Abstract: Disclosed is an improved approach to process data and events from disparate ecosystems pertaining to products. An approach is provided to automatically cluster events from various ecosystems into noteworthy incidents and to correlate them with entities extracted from each system. Incidents are correlated between ecosystems to classify the type of incidents and to give a coherent converged picture of the event streams coming from the various ecosystems. Noteworthy incidents are automatically converted into tickets and their severity is ascertained from the associated incidents. Tickets that reference underlying defects with the product or service are converted into issues.

Abstract: A network device includes one or more ports that are interfaces configured to communicate with other network devices in a network; and circuitry configured to obtain a plurality of data elements, based on operation of the network device, check a predicate with any of the plurality of data elements, and perform any of, responsive to the predicate, i) stream a first set of one or more of the plurality of data elements to a management system, ii) cease a stream of a second set of one or more of the plurality of data elements, and iii) a combination thereof.

Abstract: A data protection scheduling system provides a flexible or rolling data protection window that analyzes various criteria to determine an optimal or near optimal time for performing data protection or secondary copy operations. While prior systems may have scheduled backups at an exact time (e.g., 2:00 a.m.), the system described herein dynamically determines when to perform the backups and other data protection storage operations, such as based on network load, CPU load, expected duration of the storage operation, rate of change of user activities, frequency of use of affected computer systems, trends, and so on.

Abstract: A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.

Abstract: Systems and methods are provided for performing constraint driven database searching. At least one constraint is received for a search of one or more databases comprising one or more datasets, each comprising multiple entry fields. The one or more databases comprising the one or more datasets may be accessed and searched based on the constraint to identify one or more dataset entries that contain the at least one constraint in one of multiple entry fields. A visual representation of the identified dataset entries may be provided to the user as results of the constraint driven database search. Additional constraints may be accepted to further narrow the results of constraint driven database search. The results may be exported and made accessible for later retrieval and/or cached for use in subsequent searches.

Abstract: A system and method for tracking and managing package delivery within a distribution network. Many events happen during the processing, moving, and delivery of a package. Systems and methods herein identify whether all expected events occur, whether scan locations are correct, whether delivery times are met, and other requirements. Problems or potential problems can be identified and corrected.

Abstract: Techniques for generating model ensembles are provided. A plurality of models trained to generate predictions at each of a plurality of intervals is received. A respective prediction accuracy of each respective model of the plurality of models is determined for a first interval of the plurality of intervals by processing labeled evaluation data using the respective model. Additionally, a model ensemble specifying one or more of the plurality of models for each of the plurality of intervals is generated, comprising selecting, for the first interval, a first model of the plurality of models based on (i) the respective prediction accuracies and (ii) at least one non-error metric.

Abstract: A cell picking device includes a stage, a sucker, a driver, a work content receiver, a registrar and a device controller. A sample container is placed on the stage. The driver is provided to execute sample scraping work and sample sucking work using a pipette tip attached to the sucker. In a case in which selection of work contents of the driver is received by the work content receiver, a work procedure including the received work contents of the driver is registered by the registrar. The work of the driver is controlled by the device controller in accordance with the registered work procedure.

Abstract: A computer program product, an industrial installation in particular a paper-making machine, an apparatus and method for predicting a position of a web break of a fibrous material web that has occurred or is imminent, wherein the method includes capturing parameters, in particular speeds of rollers for transporting the fibrous material web or a web tension thereof, where the parameters are advantageously stored in the form of time series, a self-learning algorithm is used to detect the imminent web break and to determine the position of the web break which is imminent and/or has occurred, where the basis for the detection or the determination is a deviation of the respective parameter, such as from a temporal mean of the respective parameter.

Abstract: A method for controlling a wind turbine includes receiving operational data of at least one component of the wind turbine. The operational data includes a time-series of one or more high speed signals both before, during, and after an anomaly. Further, the high speed signal(s) may be digital or analog signals. The method also includes storing the operational data. Moreover, the method includes analyzing the stored operational data to identify a specific type and location of the anomaly using at least one of pattern recognition, machine learning, or rules-based conditions. In addition, the method includes determining an appropriate response action for the specific type and location of the anomaly. Further, the method includes adjusting a control parameter of the wind turbine. Thus, the method includes implementing the appropriate response action for the specific type and location of the anomaly.