Abstract: A roll map of an electrode coating process includes a roll map bar and a representation part. The roll map bar is displayed on a screen in synchronization with movement of an electrode between an unwinder and a rewinder while being coated with an electrode slurry in a roll-to-roll state. The roll map bar is displayed in the form of a bar by simulating the electrode in the roll-to-roll state. The representation part is configured to visually show either one of or both quality-related and defect-related acquired data associated with the electrode coating process. The acquired data is shown at a certain location on the roll map bar corresponding to a location in the electrode at which the data is measured. A roll map of an electrode coating process is generated by a process. A roll map of an electrode coating process is generated by a system.

Abstract: Examples described herein generally relate to alerting metric baseline behavior change. The examples include performing at least one of a radial basis function (RBF) kernel procedure and an autoencoding procedure for a time-series data; determining whether one or more change points occur in a seasonal pattern of the time-series data based on at least one of the RBF kernel procedure and the autoencoding procedure; and transmitting, to a user, an alert indicating the one or more change points based on a determination that the one or more change points occur in the seasonal pattern of the time-series data.

Abstract: The present invention relates to a method for determining a present state of wear of a hydrostatic machine during the operation of the hydrostatic machine. The hydrostatic machine comprises a drive with variable rotational speed and a hydrostatic pump, wherein the drive is designed to drive the hydrostatic pump for generating a volume flow of a fluid, and wherein the hydrostatic machine is connected to a fluid transport channel in which the fluid is transported in a manner driven by the hydrostatic machine. The method has a step for determining a first torque of the drive at a specified drive vector. Furthermore, the method has a step for ascertaining a second torque of the drive at the specified drive vector using a first calculation method, and in addition, the method has a step for determining the present state of wear of the hydrostatic machine using a second calculation method, in order to compare the first determined torque and the second ascertained torque to one another.

Abstract: Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.

Abstract: Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.

Abstract: Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.

Abstract: Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.

Abstract: Provided is an information processing device including: an acquisition unit that sequentially acquires a plurality of elements included in sequential data; a first calculation unit that calculates, for each of the plurality of elements, indicators each indicating which of a plurality of classes is appropriate for corresponding element to belong to, in consideration of two or more elements among the plurality of elements; a second calculation unit that calculates, by integrating the indicators of the plurality of elements, an integrated indicator indicating which of the plurality of classes is appropriate for the sequential data to belong to; and a classification unit that classifies the sequential data into one of the plurality of classes based on the integrated indicator.

Abstract: An abnormal temperature detection device includes a temperature acquirer configured to acquire temperature data; a preprocessor configured to perform preprocessing of calculating a feature amount of the temperature data; a synthesizer configured to perform synthesis processing of synthesizing the feature amount and past determination information indicating whether the temperature data acquired in the past is normal or abnormal; a learner configured to generate an identification model by performing machine learning on a result of synthesis by the synthesizer; and a determiner configured to determine whether temperature data for detection which is acquired by the temperature acquirer, and on which the preprocessing is performed by the preprocessor and the synthesis processing is performed by the synthesizer, is normal or abnormal by using the identification model.

Abstract: An abnormality diagnosis device includes: a first interface to obtain a value of a driving current for driving a motor; and a processor to access a database including calculation data to be used to calculate a degree of abnormality of the motor, wherein the processor extracts a feature quantity for calculating the degree of abnormality from a current waveform specified by a value of the driving current, and calculates the degree of abnormality of the motor based on the extracted feature quantity and the calculation data.

Abstract: Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include generating a plurality of encoded input data objects associated with a measurement device; generating, using at least a bidirectional Recurrent Neural Networks (RNN) machine learning model, a predictive performance data object associated with the measurement device and a plurality of predictive weight data objects associated with the predictive performance data object, and performing one or more prediction-based actions based at least in part on the predictive performance data object or the plurality of predictive weight data objects.

Abstract: A safety system of a joint assembly which includes a motor and a brake coupled to the motor is provided. The safety system includes at least one set of sensors configured to detect at least one parameter associated with safety function of the joint assembly, a driving circuit coupled to the motor and the brake and arranged within the joint assembly; and a first processor and a second processor arranged within the joint assembly. The first processor and the second processor configured to receive a signal indicative of the at least one parameter from the at least one set of sensors and send a stop command directly to the driving circuit to stop the motor in response to a joint fault determined based on the signal received from the at least one set of sensors.

Abstract: The disclosure provides a system to heat a portion of a gas turbine (GT) engine of a power generation system in a standby mode. The system includes a first heated fluid manifold and a first conduit coupling a heated fluid supply external to the GT engine to one or more fatigue-prone components within the GT engine. A first plurality of valves is configured to control an amount of heated fluid flow through the first conduit between the heated fluid supply and the one or more fatigue-prone components. A controller is in communication with the first plurality of valves. The controller adjusts an open extent of at least one of the first plurality of valves to control a temperature of the one or more fatigue-prone components. The external heated fluid supply may be an auxiliary system or a second GT engine operating in non-standby mode.

Abstract: The present invention in a first embodiment is a method of constructing a geometry-induced sparse local connected network architecture, the method comprising: choosing a geometry, choosing a direction of data flow in the geometry, choosing a node set as a finite subset of the geometry, choosing local edges between each node and nodes in preceding layers with respect to the geometry and direction of data flow, and choosing sparse nonlocal edges between each node and nodes in preceding layers with respect to the geometry and direction of data flow.

Abstract: A data management system and an operation method thereof are disclosed. The system includes: a data collecting unit configured to collect input data obtained by hardware; a database configured to store analysis reference data for analysis of collected input data and analysis result data; and an analysis unit configured to compare input data with analysis reference data to extract abnormal data, and classify the abnormal data so as to store the abnormal data as analysis result data in the database.

Abstract: Systems and methods are disclosed for asset health assessment and fleet management. An example method may include classifying a first power system asset into a first sub-system and a second sub-system. The example method may also include measuring, by a processor of a protection relay and from a first power system asset, electrical, thermal, and/or mechanical data associated with the first power system asset. The example method may also include identifying a first fault feature for the first sub-system, wherein the first fault feature is influenced by load oscillations in the first power system asset. The example method may also include comparing the first fault feature to a second fault feature of a third sub-system in a second power system asset, wherein the second fault feature is the same as the first fault feature, and wherein the second fault feature is not associated with load oscillations.

Abstract: A portable configuration tool for configuring a headwall unit that is adapted to be electrically coupled to an outlet on a headwall communicates with a room device positioned within a common room with the headwall unit. The tool includes a housing, a transceiver for communicating with a portable computer, IR and RF transceivers for communicating with the headwall unit, and a controller adapted to receive a command from the portable computer that instructs the controller to transmit an initial message to the headwall unit using the infrared transceiver, receive an identifier from the headwall unit via the infrared transceiver that uniquely identifies the headwall unit, establish a communication link between the RF transceiver and the headwall unit, receive a configuration setting from the portable computer via the transceiver, and transmit the configuration setting to the headwall unit via at least one of the infrared or RF transceivers.

Abstract: A motor malfunction monitoring device for monitoring a malfunction of a drive motor, includes: vibration sensors for detecting for one or more components of the drive motor transverse vibration in a direction parallel to a mounting plane of the drive motor and perpendicular to a longitudinal direction of the drive motor or longitudinal vibration in a direction perpendicular to both the mounting plane and the longitudinal direction of the drive motor; a voltage sensor for detecting a voltage of the drive motor or a current sensor for detecting a current of the drive motor; and a data storage storing a database of normal operation spectrums of one of the transverse vibration or the longitudinal vibration during a normal operation of the drive motor, and of one of the voltage or the current during a normal operation of the drive motor.

Abstract: An abnormality detection device detects an abnormality of a device based on time-series data acquired from a device having a movable part. The abnormality determination device determines whether time-series data at a specific time have increased or decreased with respect to time-series data from a certain time prior to the specific time as the specific time is shifted, indicates an increase or decrease of the time-series data by defined numerical values, and detects an abnormality of the device based on integrated values obtained by integrating the defined numerical values.

Abstract: In one embodiment, a device comprises interface circuitry and processing circuitry. The processing circuitry receives, via the interface circuitry, a video stream captured by a camera during performance of an industrial process, wherein the video stream comprises a sequence of frames; detects, based on analyzing the sequence of frames, a degree of particle scatter that occurs during performance of the industrial process; and determines, based on the degree of particle scatter, that an anomaly occurs during performance of the industrial process.

Abstract: An air conditioner control method and apparatus, and a computer-readable storage medium. The air conditioner control method includes: determining whether a time interval between the current moment and a preset moment at which work is started is less than or equal to the maximum early start duration; if the time interval is less than or equal to the maximum early start duration, acquiring a preliminary demand load corresponding to a central air-conditioner, and acquiring a startup combination load corresponding to the central air-conditioner; and based on the startup combination load and the preliminary demand load, determining a start moment of a host to be started.

Abstract: A method and device for controlling an air conditioner, and a computer readable storage medium. The method for controlling an air conditioner includes: upon detecting a power-on or power-off command corresponding to an internal unit of a central air conditioner, acquiring a current predicted load of the central air conditioner; determining whether the predicted load meets an external unit change condition; and if so, adjusting an operating state of an external unit of the central air conditioner on the basis of the predicted load.

Abstract: Drilling rig operations may be monitored using a variety of sensors and/or other data sources. Erroneous, faulty, and/or missing data may be cleansed prior to using the data for modeling and/or monitoring drilling operations. Erroneous, faulty, and/or missing data may be identified by comparing received data to anticipated values based on historical operations, other physically related sensor readings, and known operating ranges. Cleansing may comprise replacing erroneous, faulty, and/or missing data with a modeled value or omitting a reading entirely.

Abstract: Example implementations as described herein are directed to generate a fault tree with a design document and minimized rules or database. The fault tree generation system may utilize assembly data and ladder programs as input and generates a fault tree by connecting an upper part of the fault tree generated from an assembly tree structure in the assembly data and a lower part of a fault tree from control logic in the ladder program. The fault tree is generated by connecting the lower part of the tree of the fault tree from the logic.

Abstract: A template for assigning the most probable root causes for wafer defects. The bin map data for a subject wafer can be compared with bin map data for prior wafers to find wafers with similar issues. A probability can be determined as to whether the same root cause should be applied to the subject wafer, and if so, the wafer can be labeled with that root cause accordingly.

Abstract: An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

Abstract: Techniques are provided for adaptive sensor position determination for multiple mobile sensors.

Abstract: A method of managing system health is provided. The method includes calculating a reconstruction missing value with respect to the second domain data, determining a degree of degradation of the system on the basis of the reconstruction missing value, predicting a second remaining useful life (RUL) prediction value {tilde over (y)} of the system on the basis of the second domain data, based on a result of the determination of the degree of degradation, optimizing a degradation compensation function on the basis of a distribution of a first RUL prediction value y of the system predicted based on the first domain data in a pre-learning process of the diagnosis model, and predicting a final RUL prediction value {tilde over (y)}? obtained by compensating for the second RUL prediction value {tilde over (y)}, by using the optimized degradation compensation function.

Abstract: A vehicle health monitoring system monitors the health of components for ground vehicles and accounts for the impact of changing engine RPM, a multi ratio gearbox, and the variable ratio encountered in vehicles having a differential. The vehicle health monitoring system may incorporate regime recognition that determines the vehicle state, e.g., the engine RPM, transmission gear ratio, whether its accelerating (or turning), so that a decision can be made whether the vehicle is in an appropriate regime for data acquisition for a monitored vehicle of the component, and if so, what type of configuration to use for analyzing the component for determining a condition indicator for that component. The configuration describes the ratio from a given tachometer to a shaft under analysis, and which, if any, gears/bearings are associated with the shaft.

Abstract: A refuse vehicle includes multiple systems, each system including a sensor. The refuse vehicle also includes an automated check system. The automated check system includes processing circuitry configured to obtain sensor data from the sensor of each of the multiple systems, determine which of the multiple systems require manual inspection based on the sensor data, and operate a display screen to prompt a technician to manually inspect one or more of the multiple systems.

Abstract: A system, method, and computer readable storage device are provided for providing a dynamic tachometer. Based on various signal inputs from a plurality of data sources, a tachometer may be dynamically modified to include visual information and assistance to the driver in relation to the vehicle's engine speed (i.e., revolution speed of the vehicle's crankshaft). The tachometer may include one or a combination of: dynamic shift point indicators, a target engine speed range indicator, an overspeed indicator, and a power take-off mode indicator.

Abstract: Disclosed is a method for predicting collision severity, including: establishing a first learning model, and inputting vehicle data and collision accident scene feature data into the first learning model; obtaining a predicted collision acceleration curve outputted by the first learning model, the predicted collision acceleration curve being established based on a plane rectangular coordinate system; establishing a second learning model, and inputting the predicted collision acceleration curve, the occupant feature data and the restraint system feature data into the second learning model; obtaining a plurality of predicted collision kinematics and dynamics curves of human body parts outputted by the second learning model; generating a collision severity parameter according to the plurality of predicted collision kinematics and dynamics curves of the human body parts, the collision severity parameter being configured to evaluate the collision severity.

Abstract: A plant or a group of plants in a grow facility may be registered for tracking based on a corresponding unique plant identifier (UPI) feature set as extracted from one or more images captured by a plurality of image sensors monitoring the grow facility. One or more locations of the plant or the group of plants in the grow facility at one or more dates and times may be identified based on the corresponding UPI feature set as the plant or the group of plants grow in the grow facility. The plant or the group of plants may be de-registered from being tracked based on the corresponding UPI feature set when the plant or the group of plants reaches an end of a growth cycle in the grow facility. Alternatively, visual identifier devices and/or regions of interest (ROIs) may be used with or without UPI feature sets for such tracking.

Abstract: Systems, methods, and computer-readable media are disclosed for monitoring and diagnosing power system assets. An example method may include triggering, by a gateway device and at a first time, a capture of a first waveform from a first intelligent electronic device (IED) associated with a first asset in a power system. The method may also include transmitting, by the gateway device, the capture of the waveform to a remote device. The method may also include extracting fault features from the first waveform corresponding to different failure modes associated with the asset of the power system. The method may also include determining, based on the features extracted from first waveform, that a fault of a first fault mode has occurred in the asset. The method may also include providing an alert that the fault has been identified, wherein the alert initiates or otherwise facilitates a control action in the power system.

Abstract: Well completion design data for completing plural stages of a well completion operation is accessed. Predicted component life intervals for each of a plurality of components of a frac fleet are accessed. Remaining component life intervals for each of the plurality of components of the frac fleet are determined based on the predicted component life intervals. A continuous completion event for the well completion operation is set based on the remaining component life intervals for each of the plurality of components. The continuous completion event includes a continuous pumping block identifying one or more contiguous stages from among the plurality of stages during which the well completion operation is performed with the frac fleet, and a maintenance block identifying one or more of the plurality of frac pumps to be subject to predetermined maintenance operations upon completion of the one or more contiguous stages of the continuous pumping block.

Abstract: A method for a metrology process, the method includes obtaining first measurement data relating to a first set of measurement conditions and determining a first measurement recipe based on the first measurement data. At least one performance indicator is determined from one or more components of the first measurement data obtained from a component analysis or statistical decomposition. Alternatively, at least one performance indicator is determined from a comparison of one or more first measurement values relating to the first measurement recipe and one or more second measurement values relating to a second measurement recipe, where second measurement recipe is different to the first measurement data and relates a second set of measurement conditions, the second set of measurement conditions being different to the first set of measurement conditions.

Abstract: A device (11) for providing audio and/or video content to a media rendering device over a physical connection and controlling one or more wireless lighting devices (31,32) to render light effects based on an analysis of the audio and/or video content is configured to obtain relative distance information (201-204). The relative distance information is indicative of distances between the device and each of a plurality of wireless lighting devices (31-34). The device is further configured to select, based on the relative distance information, the one or more wireless lighting devices from the plurality of wireless lighting devices, perform the analysis of the audio and/or video content, determine the light effects based on the analysis of the audio and/or video content, and control the selected one or more wireless lighting devices to render the light effects.

Abstract: A method for collecting error code history includes detecting a fault caused by errors in a machine, initiating a dispatch request from the machine to a service location, generating a first quick response code in response to a first input signal from a technician, where the first quick response code encodes first configuration items that describe the machine and first error codes that characterize the detected errors, presenting a first graphical image of the first quick response code on a display, performing a self-test in the machine in response to a second input signal, generating a second quick response code after the self-test has been completed, where the second quick response code encodes second configuration items that describe the machine and second error codes, and presenting a second graphical image of the second quick response code on the display.

Abstract: A method performed by a first computing system includes receiving, from a second computing system, a message identifying a symptom of a first vehicle; and sending a repair tip to the second computing system. The repair tip includes a first phrase describing a first procedure performed on a second vehicle that exhibited the symptom, wherein the first procedure performed on the second vehicle yielded a result insufficient to determine that a component of the second vehicle associated with the symptom is defective. The repair tip also includes a second phrase describing a second procedure performed on a given vehicle, wherein the given vehicle is either (i) the second vehicle or (ii) a third vehicle that also exhibited the symptom, wherein the second procedure performed on the given vehicle yielded a result sufficient to determine that a component of the given vehicle associated with the symptom is defective.

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 graphical user interface of a medical patient monitoring system allows clinical personnel to view and manipulate historical patient data in ways not available in traditional patient monitoring systems. The graphical user interface allows zooming in or out on the historical patient data, with a format of the data adjusted at certain zoom levels. A plurality of lanes of displayed historical patient data may be displayed in the graphical user interface, and a plurality of signals may be displayed in a single lane. An electrocardiogram strip view may be enabled to present historical patient data in the form of a traditional strip view if desired.

Abstract: A method for configuring a modular industrial plant using an engineering tool includes using a plant engineering facility of the tool to create a representation of the modular industrial plant identifying modules to be orchestrated in the modular industrial plant. The modules include at least one function module that includes control software for the modular industrial plant. The method further includes using a module engineering facility of the tool to configure the function module for use in the modular industrial plant by editing a placeholder configuration file created by the tool for defining the configuration of the function module. Editing the configuration file causes a representation of the function module in the plant engineering facility to be automatically updated to reflect adaptations made to the function module using the module engineering facility. The method includes instructing the tool to assign the function modules so configured to the modular industrial plant.

Abstract: The disclosure herein describes enables new sensors to be added and maintained in an Internet of Things system without upgrading firmware for the end device. A sensor abstraction layer (SAL) manages the end sensors, and a sensor definition layer (SDL) in the cloud interfaces with the SAL. Sensor definition data of a sensor connected to the end device is identified in a sensor definition data store of the SDL including sensor configuration data. The sensor configuration data is sent to the SAL, wherein the SAL is configured to collect sensor data from the sensor via a sensor interface. Sensor data is received from the SAL via an established network connection and converted into converted sensor data based on a data conversion model of the sensor definition data. The converted sensor data is then provided to an application, connected to a sensor management device, for consumption.

Abstract: An example method for outputting a PID filter list (PFL) includes: receiving RO data from one or more ROs that indicate particular vehicle identifying information (PVII), at least one symptom identifier, and a particular vehicle component; determining, symptom-to-parameter-identifier (PID) mapping data (MD) based on the received RO data and component-to-PID MD; determining, based on the set of available PIDs for the SOV and the symptom-to-PID MD, a PFL, wherein the PFL is associated with the PVII and the at least one symptom identifier, and wherein the PFL indicates a symptom-based subset of PIDs from the set of available PIDs for the SOV; receiving, a request sent over a communication network from a display device, wherein the request comprises the PVII and the at least one symptom identifier; and transmitting, over the communication network to the display device, a response to the request, the response comprising the PFL.

Abstract: According to an embodiment, an information processing apparatus includes one or more processors. The processors are configured to: generate a plurality of shuffle maps obtained by randomly shuffling, from positions to others, at least some of subject values contained in a subject map having the subject values arrayed in N dimensions (N is an integer of 1 or more); generate a subject vector expressing features of a frequency domain of the subject map and random vectors expressing features of respective frequency domains of the shuffle maps; and derive, as an evaluation value for whether the subject map has a random characteristic, a testing result of statistical hypothesis testing on feature differences between the subject vector and the respective random vectors.

Abstract: A method, system, and computer program product for learning parameters of Bayesian network using uncertain evidence, the method comprising: receiving input comprising graph representation and at least one sample of a Bayesian network, the graph comprising plurality of nodes representing random variables and plurality of directed edges representing conditional dependencies, wherein each of the at least one sample comprising for each node a value selected from the group consisting of: a known value; an unknown value; and an uncertain value; and applying on the input a Bayesian network learning process configured for calculating estimates of conditional probability tables of the Bayesian network using probabilities inferred by applying on the input a Bayesian network uncertain inference process configured for performing inference in a Bayesian network from uncertain evidence.

Abstract: The invention relates to a rail system as a track for suitable running gears and also to the running gear for a carrier roller diagnostic system, wherein the rail system is formed from a closed profile or tube. The rail system according to the invention comprises at least one running rail (2), a multi-part track holder (1) and a holding element (14) which is arranged with a first region (A) in a running rail support (13) of the track holder (1) and is arranged with a second region (B) in the running rail (2) when the running rail (2) and the running rail support (13) are connected to one another in the longitudinal direction, wherein the second region (B) of the holding element (14) is arranged in a passage opening (21) of the running rail (2) or projects through it.

Abstract: The present disclosure relates to a device and method for detecting vertical misalignment of a vehicle radar device and vehicle radar device with the same. A radar device according to an embodiment determines a monitoring range including the ground in front by using the radar signal, determines an error of vertical angles for a number of ground distances within the monitoring range, and detects the vertical mounting misalignment of the radar device by using the error. According to embodiments, it is possible to accurately determine the vertical mounting misalignment of the radar device even if there is a road surface non-uniformity, road slope, or radar beam width change.

Abstract: A method of controlling an electronic apparatus is provided. The method includes the steps of receiving measurement values for the state of air displayed on a plurality of external electronic apparatuses from each of the plurality of external apparatuses, calculating rates of change of the measurement values for each of the plurality of external electronic apparatuses based on the received measurement values, identifying external electronic apparatuses of which differences of the calculated rates of change belong to a predetermined range among the plurality of external electronic apparatuses, correcting the measurement values received from at least one external electronic apparatus among the identified external electronic apparatuses such that the measurement values received from the identified external electronic apparatuses become the same as one another, and transmitting information related to the corrected measurement values to the at least one external electronic apparatus.