Abstract: An operation log visualization device includes processing circuitry configured to store operation logs each containing a captured image of an operation screen captured during an operation and information identifying a position of an operation location in an operation target window on the operation screen, generate images in each of which a portion corresponding to the position in the captured image is highlighted, and generate a flowchart by arranging the generated images in an order of processing of operation logs corresponding to the images.

Abstract: To reduce user effort in setting notifications based on information from a plurality of devices. A setting method includes registering a plurality of devices, registering devices in the plurality of devices in association with groups, and changing settings of a plurality of notifications to be transmitted to a display of the information processing apparatus, the notifications based on information from a plurality of devices associated with a group, where the settings are changed in such a manner that for each of the devices in the group, the settings are changed all at once, without changing a setting of another notification to be transmitted to the display of the information processing apparatus, the other notification based on information from a device of the plurality of devices that is not in the group.

Abstract: The invention relates to a device for controlling and/or configuring construction machines, whose electronic control device can be reconfigured and/or extended by installing a program packet, comprising a central server for providing and/or downloading different program packets, wherein the central server has access to an internal machine data database in which different machine data sets are stored, wherein the central server is designed as an open server platform with different interfaces to different external host servers, wherein a communications module activates an interface to an external machine data database and/or to an external host server according to a construction machine and/or program packet request and according to the machine data sets in the internal machine data database, and wherein the external machine data database that is separate from the central server is designed to provide a program packet of an external host server according to an authorization of the external host server.

Abstract: A method for data-center management includes, in a data center including multiple components, monitoring a plurality of performance measures of the components. A set of composite metrics is automatically defined, each composite metric including a respective weighted combination of two or more performance measures from among the performance measures. Baseline values are established for the composite metrics. An anomalous deviation is detected of one or more of the composite metrics from the respective baseline values.

Abstract: A computer implemented method includes detecting user interaction with mixed reality displayed content in a mixed reality system. User focus is determined as a function of the user interaction based on the user interaction using a spatial intent model. A length of time for extending voice engagement with the mixed reality system is modified based on the determined user focus. Detecting user interaction with the displayed content may include tracking eye movements to determine objects in the displayed content at which the user is looking and determining a context of a user dialog during the voice engagement.

Abstract: A modular robot system includes N (N is an integer that is 2 or greater) cube-type unit robots, each of the N cube-type unit robots comprising: a housing in the shape of a regular hexahedron; a step motor installed in the housing; and a controller installed in the housing and for controlling the step motor. The housing has, on one surface thereof, a mounting groove in which a rotary body rotating by means of a rotating shaft of the step motor can be mounted, and, on the other surface of the housing, a connection groove in the same shape, so that by means of a connector to be mounted in the connection groove, connection to another cube-type unit robot is possible, and the housing has identification marks with different shapes from one another on the respective surfaces thereof.

Abstract: An arrangement for monitoring the operation of a machine intended to be tracked by a real-time locating system comprises: a tag intended to be arranged on the machine, the tag being configured to generate a wireless tag signal allowing determination of a position of the tag; and at least one detector intended to be arranged on the machine, the at least one detector being configured to detect at least one characteristic of a magnetic field generated by the machine. Detection of the at least one characteristic is indicative of the machine being operative. The arrangement makes it possible to obtain a detailed understanding of how the machine is used in a cost-effective manner. A real-time locating system comprising such an arrangement and a method for monitoring the operation of a machine are also disclosed.

Abstract: A control system includes a factory system to control an actuator, and a learning system. The learning system extracts records for machine learning associated with the actuator from the factory system via a network, and generates an estimation model for estimating a condition of the actuator by machine learning using the records. The factory system includes a plurality of nodes including a control device to control the actuator, and a readable data construction device connected to the learning system via the network. The readable data construction device acquires data items associated with the actuator from at least one of the nodes other than the readable data construction device, and constructs readable data which is readable from the learning system. The readable data includes the data items associated with the actuator, and the learning system extracts the records from the readable data.

Abstract: A method for selecting a most suitable golf club from a set, where the shafts of the set are of different levels of flexibility along the shaft, includes using a pressure sensing mat upon which the player places both feet while carrying out a sample swing to measure forces applied by feet of the player during the stroke. The pressure sensing mat provides output signals indicative of vertical forces, lateral forces, both heel to toe and side to side, lateral speed, both heel to toe and side to side applied by the feet of the player during the swing and a processor operating on the signals selects certain ones of the output signals to calculate a load factor from the selected signals which is used to select one of the set most suitable for use by the player using a color coding system applied to the load factor.

Abstract: A monitoring control apparatus includes: a display controller to display an alarm screen for notifying a plurality of abnormalities occurring in a monitoring target device provided in an electric power system; a selector to select a first abnormality among the plurality of abnormalities; a degree-of-association calculator to calculate, for each of one or more other abnormalities except for the first abnormality among the plurality of abnormalities, a degree of association of the other abnormality with the first abnormality; and an extractor to extract the other abnormality as an associated abnormality associated with the first abnormality when the degree of association of the other abnormality is not less than a threshold. The alarm screen includes an associated alarm for notification of the extracted associated abnormality.

Abstract: A system and method for determining abnormal conditions based on signals received from smart devices. The method includes receiving, via a controller and transmitted via one or more devices, one or more first signals indicative of one or more first statuses of the one or more devices. The method includes determining, via the controller and based on the one or more first statuses, a base model. The method includes receiving, via the controller and transmitted via the one or more devices, one or more second signals indicative of one or more second statuses of the one or more devices. The method includes comparing, via the controller, the one or more statuses to the base model and determining, via the controller and based on the comparison, an occurrence of an abnormal condition.

Abstract: Low-level nodes (LLNs) that are communicatively connected to one another each have sensing capability and processing capability. High-level nodes (HLNs) that are communicatively connected to one another and to the LLNs each have processing capability more powerful than the processing capability of each LLN. The LLNs and the HLNs perform processing based on sensing events captured by the LLNs. The processing is performed by the LLNs and the HLNs to minimize data communication among the LLNs and the HLNs, and to provide for software-defined sensing.

Abstract: The present invention relates to a method for analyzing energy used for producing a unit of mass or volume of compressed gas (Specific Energy Consumption) in relation to a common output flow in a compressor system, said method comprising the following steps: —for time interval, Tref, collecting reference measured data points of common output flow Fref and energy (or power) consumption Eref (or Pref) in the compressor system; —calculating energy (or power) use as a function of the common output flow Eref (F) (or <Pref>t(F)) from the measured data points and calculating volume output as a function of the common output flow Vref(F): —calculating average energy consumed for producing a unit of mass or volume of compressed gas as a function of the common output flow <SECref>t(F) from equation Eref(F)/Vref(F) (Or <Pref>t)/Pref); —for time interval, Tsav, collecting measured data points of common output flow Fsav and energy (or power) consumption Esav (Psav) in the compressor system; —calculating e

Abstract: A cyber defense system for a computer managed transportation network having agents, each functionally coupled to an on-board controller of one of at least one transportation network vehicles. Each agent is adapted to monitor or regulate vehicle functional-change communications, sent to the on-board controller of its coupled vehicle from on-board controllers of other vehicles or from control units of the transportation network, in accordance with a respective transportation network vehicle policy file generated by an artificial intelligence node monitoring various vehicles of the transportation network.

Abstract: A computerized method of automated device efficacy determination for multiple monitor devices includes receiving streaming data including multiple health data values sensed by multiple monitor devices, each value indicative of health status of one or more members, and identifying first and second health data values from first and second target ones of the multiple monitor devices. The method includes determining first and second measured health status values of first and second ones of the members according to the identified first and second health data values, and aggregating the determined first measured health status value of the first member with the determined second measured health status value of the first member or the measured health status value of the second member. The method includes comparing the aggregated measured health status values to a target device efficacy threshold to determine an outcome-based device efficacy of the first and second target monitor devices.

Abstract: An electrothermal ice protection system (IPS) installed on an aircraft includes a sensor, a parting strip assembly, and a controller. The sensor monitors a direction of a local incident airflow that is imparted on the sensor. The parting strip assembly is coupled to the critical surface and includes a plurality of heating sections. The controller is in signal communication with the sensor and the parting strip assembly. The controller determines a direction of surface airflow incident on a critical surface of the aircraft based on the local incident airflow and selectively concentrates power to at least one targeted heating section among the plurality of heating sections with respect to non-targeted heating sections among the plurality of heating sections based on the direction of the surface airflow.

Abstract: A data processing system is implemented for detecting changes to infrastructure components, and extracting metadata associated with the changes. The data processing system also implements grouping the changes based on the metadata, ranking the groups of changes based on past incidents of service outages, and displaying the ranked groups of changes to a user.

Abstract: A method for detecting anomalies in one or more network performance metrics stream for one or more monitored object comprising using a discrete window on the stream to extract a motif from said stream for a first of said network performance metric for a first of said monitored object. Maintaining an abnormal and a normal cluster center of historical time series for said first network performance metric for said first monitored object. Classifying said motif based on a distance between said new time series and said abnormal and said normal cluster center. Determining whether an anomaly for said motif occurred based on said distance and a predetermined decision boundary.

Abstract: According to one embodiment, an anomaly factor diagnosis apparatus includes an identifier configured to identify a first measurement data item corresponding to a first time point when an anomaly factor occurs in a power generation apparatus, among measurement data items in the power generation apparatus, based on anomaly factor occurrence data identifying the first time point; a distribution generator configured to calculate a first distribution function representing a distribution of a feature value of the first measurement data item; and an evaluator configured to calculate an evaluation value of possibility of occurrence of the anomaly factor in the power generation apparatus, based on the first distribution function, and measurement data items to be tested in the power generation apparatus.

Abstract: Systems and methods for determining the efficiency of an organization by analyzing data feeds from various applications are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor a method for measuring efficiency may include: (1) receiving, from an enterprise software program, raw data related to an entity's performance; (2) calculating a plurality of efficiency metrics based on the raw data; (3) identifying a recommended action based on one of the efficiency metrics; and (4) automatically implementing the recommended action.

Abstract: A method, system, and apparatus use infrared spectrometry onboard an internal combustion engine running on a natural gas fuel to detect characteristics of the fuel. At a site having a plurality of natural gas engines, detection of natural gas fuel components and concentrations of the components also is conducted at the site upstream of the point of intake of the natural gas fuel to one or more of the engines. Operating parameters of the engine or a plurality of the engines may be controlled on the basis of the detected composition of the natural gas fuel.

Abstract: The present invention discloses a method for determining an inverse of gravity correlation time. During data processing on gravity measurement of moving bases, a gravity anomaly is considered as a stationary random process in a time domain, and is described with a second-order Gauss Markov model, a third-order Gauss Markov model or an mth-order Gauss Markov model, and the inverse of gravity correlation time is an important parameter of the gravity-anomaly model, and according to a gravity sensor root mean square error, a Global Navigation Satellite System (GNSS) height root mean square error, an a priori gravity root mean square, and a gravity filter cutoff frequency during the gravity measurement of the moving bases, an inverse of gravity correlation time of the second-order, third-order or mth-order Gauss Markov model is determined.

Abstract: Methods and apparatus are disclosed for efficient factor analysis of a large population of data records, using factors that are categorical variables. Computation is balanced between extracting key factors by training a machine learning classifier on a reduced sample of data records, for computational efficiency, and scoring the categorical values of the key factors on the entire population, for accuracy of results. A joint factor is constructed by combining all proposed root factors, and the sample is generated by stratified sampling on the joint factor. The key factors are selected from candidate factors which can be combinations of the root factors. Original variables of a dataset, whether categorical or not, can be binned to obtain new categorical factors. Variations and user interfaces are also disclosed.

Abstract: An absolute encoder suitable for size reduction is provided. An absolute encoder includes: a first driving gear configured to rotate according to rotation of a spindle; a first driven gear having a center axis perpendicular to a center axis of the first driving gear and configured to engage with the first driving gear; and a second driving gear provided coaxially with the first driven gear and configured to rotate according to rotation of the first driven gear. The absolute encoder includes a permanent magnet (8) provided on a layshaft gear (5A) having a center axis perpendicular to the center axis of the first driven gear and where a worm wheel portion (52e) is formed to engage with the second driven gear; and a resin sheet (5A1) provided on the layshaft gear (5A) to prevent the permanent magnet (8) from coming out from the layshaft gear (5A) in the axial direction.

Abstract: A conversion device converts an input power into an output power, and gives rise to a power loss. The conversion device is cooled by a coolant circuit in which a coolant flows. A monitoring device determines, using operating data of the conversion device and/or of the coolant circuit, a flow velocity of the coolant and compares the flow velocity with a limit velocity. If the flow velocity reaches or exceeds the limit velocity, the monitoring device resorts to a special reaction. As long as the flow velocity does not reach the limit velocity, the monitoring device resorts either to no reaction or to a normal reaction that is not the same as the special reaction. The monitoring device determines the flow velocity by using a quantity of heat that is to be removed by the coolant per unit time, a local temperature of the conversion device, and an inflow temperature.

Abstract: Techniques managing access rules are provided. Access rules and their associated profiles are determined for evaluation. A triggering rate or a triggering percentage can be used to indicate efficacy of the rule. Recommendations can be provided based on a triggering percentage difference of the rule during a predetermined period of time. The recommendations can be provided in an interactive user interface.

Abstract: A variable geometry turbine (VGT) comprising an intake channel, a rotor, an adjustable nozzle, a nozzle actuator, and a controller. The controller comprises a calibration routine, arranged for calibrating the VGT during normal operation thereof. In the calibration routine, the controller is arranged for performing the steps of: adjusting the adjustable nozzle from an initial position towards a closed position, while monitoring a pre-turbine pressure; detecting a deflection point position of the adjustable nozzle at which a sharp difference in the pre-turbine pressure occurs; and adjusting a minimum cross sectional area in the closed position, to adjust a working range of the VGT in dependence of varying operating conditions, wherein the working range excludes the detected deflection point position.

Abstract: An information collection apparatus includes a receiving unit that receives an alarm indicating an abnormality related to a control station that is for a plant, and a collection unit that collects investigation information on a cause of the alarm from a part of the control station, where the part is identified based on the alarm received by the receiving unit.

Abstract: Techniques for performing analytics using automatically generated labels for time series data and numerical lists are disclosed. In some embodiments, a system loads a set of one or more time series datasets. A respective time series dataset may include a set of data points based on varying values of a metric of one or more computing resources over a window of time. The system assigns labels to a subset of the data points in the time series datasets. The label assigned to a given data point may be descriptive of a pattern reflected by the data point relative to other data points in the time series. The system further identifies a pattern of automatically assigned labels that is indicative of an event affecting the one or more computing resources. Responsive to identifying the pattern of labels, the system may trigger a responsive action.

Abstract: A method for operating a machine control system and a corresponding machine control system uses a portable hand-held terminal for functionally influencing at least one machine controller. The terminal includes at least one emergency stop actuation element for terminating potentially dangerous machine operations. The controller and/or the terminal is adapted for indicating a representation of the control system on the terminal display. The controller and/or the hand-held terminal is adapted for indicating the operational range(s) of the at least one emergency stop actuation element by the terminal display. The controller and/or the hand-held terminal are further adapted for simultaneously representing the operational range(s) of the at least one emergency stop actuation element by selective, fail-safe controlling of at least one lighting device at the hand-held terminal and/or at least one discrete lighting device in or at the at least one emergency stop actuation element at the hand-held terminal.

Abstract: A method for managing power in a multiple processor computing device includes detecting a first amount of power being used by a first processor of the computing device; determining an amount of extra power available based on the first amount of power and a power budget for the first processor; and transmits a value to a driver associated with a second processor of the computing device, wherein the value indicates the amount of extra power available, wherein the driver adjusts at least one operating parameter of the second processor based on the amount of extra power available.

Abstract: An anomaly detection method includes: calculating, for a detection target data stream of consecutive detection target data, distances between the detection target data; extracting features of the detection target data stream using the calculated distances; and calculating anomaly degree information about a degree of anomaly in the detection target data stream using the extracted features. Each extracted feature is made up of L consecutive distances (L is an integer greater than or equal to 2). For each feature extracted, supplementary information for calculating the anomaly degree information is calculated using a difference in the feature. For each of one or more information calculation target windows made up of N detection target data (N is an integer greater than or equal to L+1), the anomaly degree information is calculated using all supplementary information calculated from the N detection target data.

Abstract: A computer-based system for automatically detecting when a battery changeout occurs has an input device, a neural net trained to identify when said battery changeout occurs based on data from a battery monitor and an output device. The system reads in battery data points once per a data period. The system then formats multiple data points into a data vector for the neural net. The neural net then produces an output vector indicating when a battery changeout occurs. The output vector may show a detected changeout as a step change in a graph.

Abstract: Disclosed systems include mobile ECG sensors, systems and methods. Some embodiments provide ECG sensors in a packaging-label form factor that allows a user to contact two electrically isolated electrodes on an exterior of a product packaging to measure heart electrical signals for a Lead I ECG.

Abstract: A global state associated with a garbage collection (GC) process is a state assumed by a reference after GC operations for a current GC phase are performed for the reference. A frame state of a frame on a call stack of an application thread tracks a progress of GC operations for references therein. A color watermark is added after a global state change. The frame originally marked by a stack watermark is now marked by the new color watermark. The new color watermark marks a deepest frame on the call stack having the old global state. A color watermark is deleted when the stack watermark meets the color watermark. If the stack watermark is shifted in the call stack to mark the same frame as a color watermark, then the color watermark is deleted. The marked frame is a deepest frame on the call stack having the current global state.

Abstract: The present disclosure provides a process variation detection circuit and a process variation detection method. The process variation detection circuit is arranged in a chip and includes: a first ring oscillator, where a first number of auxiliary elements of a preset type are arranged between two adjacent inverters of the first ring oscillator; and a second ring oscillator, where a second number of auxiliary elements of a preset type are arranged between two adjacent inverters of the second ring oscillator, the second number is larger than the first number; wherein, a number of the inverter of the first ring oscillator is the same as a number of the inverter of the second ring oscillator; a type and a size of a transistor of the first ring oscillator are the same as a type and a size of a transistor of the second ring oscillator.

Abstract: According to one embodiment, a read and write (RW) parameter adjustment method includes changing conditions of RW parameters to determine a capacity and characteristics for each of various heads of a test device to measure the characteristics and creating, for each of the heads, a database in which the measured characteristics are registered, and changing the conditions of the RW parameters for each of heads of a device to be adjusted to measure characteristics, searching the database created for each of the heads for a database having similar characteristics, and setting the capacity and characteristics in an appropriate balance based on the similar characteristics of the database obtained by the searching.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for conducting collaborative real-time inspections of insured properties. The system may include several workstations, each operated by a different user with a respective role in processing an insurance claim. The system also may include a server system configured to receive an indication of an insured property to be inspected by users at the workstations using an unmanned aerial vehicle (UAV) configured to collect aerial imagery, provide, substantially in real time during an inspection session, aerial imagery of the insured property to each of the workstations, receive, substantially in real time during the inspection session, information related to the insured property being inspected from the workstations, and generate a database record descriptive of the inspection session. The aerial imagery may be used to verify dimensions of insured homes or estimate home damage resulting from fire, wind, hail, water, or hurricanes.

Abstract: In a system of automatically analyzing infrastructure operation data, the system includes: an infrastructure operation determination unit configured to determine whether or not to execute an automatic analysis on infrastructure operation data; a data reception unit configured to receive operation data of a previous operation period and operation data of a succeeding operation period according to the automatic analysis execution; a statistics calculation unit configured to calculate statistics for the operation data of the previous operation period and the operation data of the succeeding operation period; and a significant difference analysis unit configured to analyze a significant difference between the operation data of the previous operation period and the operation data of the succeeding operation period based on the statistics.

Abstract: A method of identifying defects in an electronic assembly, comprising, by a processing unit, obtaining a grid of nodes representative of a location of electronic units of an electronic assembly, wherein each node is neighboured by at most eight other nodes, wherein a first plurality of nodes represents failed electronic units according to at least one test criterion, and a second plurality of nodes represents passing electronic units according to the least one first test criterion, based on the grid, determining at least one first and second straight lines, and attempting to connect the first and second straight lines into a new line, wherein if at least one node from the new line belongs to the second plurality of nodes, concluding that an electronic unit represented by the node on the grid is a failed electronic unit, thereby facilitating identification of a failed electronic unit on the substrate.

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

Abstract: A coal management system includes a central control system and a plurality of monitoring points. The plurality of monitoring points are arranged at a plurality of pieces of production equipment. A method of controlling the coal management system includes the plurality of monitoring points acquiring monitoring data, the central control system selecting a candidate feature set and constructing a coal model according to the monitoring data, the central control system generating an operation recommendation of a controlled monitoring point of the plurality of monitoring points according to the coal model, and a piece of production equipment performing an operation according to the operation recommendation to achieve a target operation condition.

Abstract: Systems and methods for determining an efficiency score for an automation platform are provided. According to one embodiment, a first weight for each playbook of multiple playbooks of an automation framework and a second weight for each type of error of multiple types of errors that may cause execution of one of the multiple playbooks to fail are maintained. The first weight represents a relative importance of the playbook and the second weight represents an effort required to address the error. An efficiency score is calculated for execution of one or more playbooks of the multiple playbooks during a particular time period based on the first weight for each of the one or more playbooks and the second weight for each type of error observed during the particular time period. An indication of a health of the automation framework is then displayed based on the efficiency score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes identifying a procedural instance; determining a temporal extent for the procedural instance based on temporal extent parameters for the one or more entities in the procedural instance; selecting control settings for the procedural instance; monitoring environment responses to the control settings that are received for the one or more entities; determining which of the environment responses to attribute to the procedural instance in a causal model; and adjusting, based at least in part on the environment responses that are attributed to the procedural instance, the temporal extent parameters for the one or more entities.

Abstract: An electronic device including a communication interface, a memory, and a processor. The processor is configured to receive information related to at least one first event generated for a predetermined first time from an external electronic device and acquire a first pattern and a first parameter related to the first pattern, based on information on at least one second event generated within at least one predetermined time interval among the information on the at least one first event. The processor is configured to receive information related to at least one third event generated for a predetermined second time from the external electronic device. The processor is configured to acquire a second parameter related to the first pattern, based on the information related to the at least one third event. The processor is configured to generate a first template and transmit information on the first template to a server.

Abstract: A method of operating a system (16) for pumping a fluid, which system comprises a pump (17) comprising a suction side (18) and a discharge side (19); a motor (20) for driving the pump, which motor is drivingly connected to the pump via a shaft; a recirculation conduit (23) providing a fluid path for the fluid from the discharge side to the suction side of the pump; and a control valve controlling the flow of the fluid through the recirculation conduit, which method comprises the steps of: mapping a plurality of minimum torque diagrams for the pump, where each minimum torque diagram identifies the minimum allowable torque of the pump as a function of an operational parameter of the pump, e.g.

Abstract: A selective catalytic reduction system control system (10) and method of its use include an ammonia (“NH3”) slip sensor (13) located within an interior space (27) of an exhaust stack (15) of a selective catalytic reactor (31), toward an inlet end (25) of the stack (15); a housing (17) located within the interior space of the exhaust stack; the housing including face panels 19; a nitrogen oxides (“NOx”) sensor (11) contained within an interior space (29) defined by the face panels of the housing, at least two of the face panels (19I, 19O) containing an oxidation catalyst; and a dosing controller (59) in communication with the NH3 and NOx sensors, the dosing controller including a microprocessor with dosing logic embedded thereon. The housing with oxidation catalyst acts as a linear box, isolating the NOx sensor from NH3 slip, linearizing the NOx sensor signal.

Abstract: A system receives a time series of data values from instrumented software executing on an external system. Each data value corresponds to a metric of the external system. The system stores a level value representing a current estimate of the time series and a trend value representing a trend in the time series. The level and trend values are based on data in a window having a trailing value. In response to receiving a most recent value, the system updates the level value and the trend value to add an influence of the most recent value and remove an influence of the trailing value. The system forecasts based on the updated level and trend values, and in response to determining that the forecast indicates the potential resource shortage event, takes action.

Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network. The methodology includes identifying: event sequences within network traffic data; filtering out a subset of the event sequences based on characteristics of the subset of the event sequences; generating definition groups by performing clustering on the subset of the event sequences, the definition groups comprising event sequence characteristics associated with one or more network issues; first simulating the subset of the event sequences; generating, based on results of the first simulating, a first issue identification; second simulating a most recent one of the identified event sequences; generating, based on results of the second simulating and the generated definition groups, a second issue identification; and validating the first issue identification with the second issue identification.

Abstract: A device receives vehicle data from a vehicle telematics device or a client device. The vehicle data includes information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device determines a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile includes information relating to a condition of the vehicle component. The device determines a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device determines a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device generates a recommendation based on the service timeframe, and transmit the recommendation to the client device.