Abstract: System for performance-based design space composition in engineering systems includes design configuration module, explainable recommendation module and user interface module. A list of one or more system configurations is generated, each system configuration having a unique set of components that satisfy system goals and system requirements. For each system configuration, system performance values are determined based on performance enabled by each system component. A design dashboard presents the system configurations in rank order and the system performance value for each of the system configuration components.

Abstract: A control device includes a first controller configured to generate a first operation amount for the device on the basis of an output fed back from the device and a target value, a predicted output generator including a learned model which is machine learned so as to generate a predicted output from the device on the basis of the output fed back from the device and the first operation amount, a second controller configured to generate a second operation amount for the device on the basis of the predicted output and the target value, an integrated operation amount generator configured to generate an integrated operation amount which is an operation amount for the device on the basis of the first operation amount and the second operation amount.

Abstract: A management method for a cutting tool of a machine tool is provided. A user host imports a graphical data of a workpiece and a cutting tool database into CAM, and a user may select cutting tools to establish a complete machining process. T codes are replaced with electronic tags. Before executing a machine code comprising the electronic tags, the machine tool re-scans the cutting tools assembled at a tool turret and updates cutting tool arrangement information to ensure that the tool turret is equipped with the cutting tools used in the machining process. When the machine tool stores the electronic tags, a ready message is displayed for reminding an operator. When the electronic tags are not stored, the current storage location of a cutting tool lacked in the machining process or a warning message is displayed at the operation interface for reminding the operator.

Abstract: A reliability-based topology optimization design method for a part structure considering bounded hybrid uncertainties, includes the following steps: considering the uncertainties in the manufacture and service of the part structure, describing an external load with insufficient samples and a material property with sufficient samples as an interval variable and a bounded probabilistic variable respectively; discretizing a design domain of the part structure, setting the physical and geometric constraints, and establishing a reliability-based topology optimization design model; solving by a moving asymptote algorithm: decoupling the probabilistic and interval uncertainties, and determining the worst working condition by using gradients of constraint performance functions; defining a performance fluctuation under the worst working condition and calculating reliability of constraint performance; and finally, calculating the gradients of objective and constraint functions with respect to the design variables for i

Abstract: Some embodiments provide a program that retrieves a set of notifications describing failures that occurred on a set of monitored devices. The program further determines a set of topics based on the set of notifications. The program also determines failure modes associated with the set of topic from a plurality of failure modes defined for the set of monitored devices. The program further determines failure modes associated with the set of notifications based on the set of topics and the failure modes associated with the set of topics. The program also receives a particular notification that includes a particular set of words describing a failure that occurred on a particular monitored device in the set of monitored devices. The program further determines a failure mode associated with the particular notification based on the particular set of words and the determined failure modes associated with the set of notifications.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain video signals of a worker performing a job at a workplace; and a computing server system configured to receive and process the video signals to determine joint locations of the worker, calculate joint angles for each body region of the worker based on the joint locations, calculate, based on the joint angles, a risk score for each body region of the worker in a plurality of risk categories, calculate a risk rating for each body region of the worker based on the risk score, determine ergonomic risk root-causes for each body region of the worker based on the risk rating, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.

Abstract: Conventionally, manufacturing of molded parts using composite materials has led to poor dimensional accuracy and tensile strength due to improper curing thus resulting in rejection or early/premature failure of composite part. Embodiments of the present disclosure provide simulation-based systems and methods for manufacturing/generating molded parts using reinforced composite materials. The optimized cure cycle is computed for a given component without carrying out numerous experiments. The present disclosure implements multiscale method and surrogate modeling in virtual testing for more accurate and faster manufacturing of molded parts. Process parameters for specified qualities (e.g., minimum residual stresses, minimum deformation, etc.) required for a part are determined along with least process manufacturing time. The resulting optimized time dependent cure cycle for each thermal zone of the heated mold is transferred to a master controller (e.g.

Abstract: A method and a system of predicting an electric system load based on wavelet noise reduction and empirical mode decomposition-autoregressive integrated moving average (EMD-ARIMA) are provided. The method and the system belong to a field of electric system load prediction. The method includes the following steps. Raw load data of an electric system is obtained first. Next, noise reduction processing is performed on the load data through wavelet analysis. The noise-reduced load data is further processed through an EMD method to obtain different load components. Finally, ARIMA models corresponding to the different load components are built. Further, the ARIMA models are optimized through an Akaike information criterion (AIC) and a Bayesian information criterion (BIC). The load components obtained through predicting the different ARIMA models are reconstructed to obtain a final prediction result, and accuracy of load prediction is therefore effectively improved.

Abstract: A system forms a part in an initial geometry (e.g., a sheet) into a desired geometry. The system includes a robot arm with an end effector, a model and a controller. The model receives an input geometry and an input parameter value indicating an interaction between the part and the end effector. The model determines an output geometry of the part based on the input geometry and the input parameter value. The controller receives the initial and desired geometries; applies the model to the initial geometry and to different input parameter values; based on output geometries of the model, determines a set of parameter values for controlling the robot arm; and controls the robot arm according to the determined set of parameter values to form the part into the desired geometry using the end effector.

Abstract: A system and computer-implemented method are provided for preprocessing medical image data for machine learning. Image data is accessed which comprises an anatomical structure. The anatomical structure in the image data is segmented to obtain a segmentation of the anatomical structure as a delineated part of the image data. A grid is assigned to the delineated part of the image data, the grid representing a partitioning of an exterior and interior of the type of anatomical structure using grid lines, wherein said assigning comprises adapting the grid to fit the segmentation of the anatomical structure in the image data. A machine learning algorithm is then provided with an addressing to the image data in the delineated part on the basis of coordinates in the assigned grid. In some embodiments, the image data of the anatomical structure may be resampled using the assigned grid.

Abstract: A computer-implemented method to identify and remediate a failing sensor. The method includes identifying a set of sensors in an Internet of Things (IoT) system including a first sensor, where the IoT system is configured to perform at least one action, the IoT system includes one or more IoT devices, each sensor is correlated to one IoT device of the one or more IoT devices, and each sensor sends an output data feed to the IoT system including a first data feed for the first sensor. The method further includes predicting, by a generative adversarial network (GAN), an expected output of the first sensor. The method also includes determining that a difference between the expected output and an actual output of the first sensor exceeds a first threshold. The method includes replacing, in response the difference exceeding the first threshold, the first data feed with a first generated data feed.

Abstract: A method is provided for processing sensor data associated with a formation. The sensor data is obtained and divided into a plurality of voxels in a three-dimensional environment. Each voxel corresponds to a location in the formation surrounding a wellbore. A selection of a first point in the three-dimensional environment corresponding to a first position along the wellbore is received. A selection of a first two-dimensional shape intersecting the first point is received. A selection of a second point corresponding to a second position different from the first position along the wellbore is received. A three-dimensional volume containing a subset of the plurality of voxels of sensor data is generated. The three-dimensional volume is bound at least by the first point and the first two-dimensional shape at a first end and by the second point at a second end. The generated three-dimensional volume is rendered for output on a display.

Abstract: A self-propelled payload (SPP) for an aircraft, such as an unmanned aircraft. The SPP includes an independent propulsion unit which is configured to counter the effect of payloads of the aircraft. This improves operational effectiveness of the aircraft.

Abstract: An engine parameter estimation tuning system includes an engine parameter estimator unit and a gas path analysis (GPA) unit. The engine parameter estimator unit includes an onboard model (OBM) configured to output estimated parameters based on operation of a gas turbine engine. The gas path analysis (GPA) unit includes a performance health monitor unit configured to adjust a long-term deterioration parameter independently from adjustment of a short-term tuning parameter to tune one or more targeted estimation parameters included in the estimated engine parameter. In this manner, the engine parameter estimation tuning system can realize the different time scales associated with uncertainties in an engine and accommodate them separately so that the estimated engine parameters become much more accurate.

Abstract: A portable peripheral control device for simulating endoscopy procedures, configured for being connected to a computer, includes a mounting element and a control lever, constrained to the mounting element, reproducing a handgrip of a flexible endoscope for medical use. The control lever has a plurality of actuators replicating corresponding actuators presented by the handgrip of the flexible endoscope for medical use. The peripheral control device includes a movement device configured for simulating a movement of a tubular element of a flexible endoscope and is configured for converting at least one actuation of the control lever into an electrical signal signifying the actuation. The peripheral control device is configured for converting an activation of the actuators into an electrical signal signifying the activation, for converting a movement of the movement device into an electrical signal signifying the movement. The peripheral control device includes at least one output for the electrical signals.

Abstract: A method for designing a combustion system which emits less of at least one environmentally-harmful emission is presented. In a describing step, an injector which introduces a fuel into a combustion chamber is described via a CFD code. In a modeling step, combustion kinetics of the fuel are modeled via a pre-processing code as the fuel mixes and reacts with an oxidizer. In a first selecting step, at least one primary scalar is derived during the modeling of the combustion kinetics. In a performing step, a table look-up is performed to obtain at least one data from a look-up database based on the primary scalar. In a second selecting step, at least one secondary scalar is selected in addition to the primary scalar(s). In a specifying step, at least one chemical pathway of formation or destruction for the secondary scalar is specified via a chemistry manager wherein the secondary scalar is representative of the environmentally-harmful emission(s) of the chemical pathway(s).

Abstract: Devices, systems and methods for electronic systems that manage an order in which an aircraft is boarded or deplaned are described. An exemplary method includes configuring an onboard computer to execute a script, wherein the script controls an order by which passengers on an airplane are prompted for deplaning, updating the script for a travel segment of the airplane using a first input comprising a passenger information for the travel segment or a second input comprising a travel configuration of the airplane during the travel segment or a third input from onboard crew of the airplane; and controlling onboard electronic equipment of the airplane by executing the script at an end of the travel segment by prompting passengers to deplane the airplane in the order.

Abstract: The present invention relates to a method and an apparatus for determining at least one unknown effect of defects of an element of a photolithography process. The method comprises the steps of: (a) providing a model of machine learning for a relationship between an image, design data associated with the image and at least one effect of the defects of the element of the photolithography process arising from the image; (b) training the model of machine learning using a multiplicity of images used for training purposes, design data associated with the images used for training purposes and corresponding effects of the defects; and (c) determining the at least one unknown effect of the defects by applying the trained model to a measured image and the design data associated with the measured image.

Abstract: The present invention discloses an optimization design method for structural parameters of biomass boiler economizers and belongs to the field of big data learning models. In the present invention, a sample database is established by utilizing historical operating big data of biomass boiler economizers, a heat exchanger residual self-attention convolution model is established based on a CNN and a self-attention mechanism, a plurality of target parameters to be optimized are quickly predicted through machine learning, and multi-target optimization of structural parameters to be optimized in the economizers can be performed in combination with an iterative optimization algorithm.

Abstract: A complete, unified material-to-systems simulation, design, and verification method for semiconductor design and manufacturing may include evaluating effects of semiconductor material or process changes on software algorithms. The method may include generating primitive circuit structures using the material or process changes; performing an electrical characterization of the primitive circuit structures; providing an output of the electrical characterization to a script to generate compact models; generating a digital system based on the compact models; and evaluating a performance of a software algorithm on the digital system to determine an effect of the material or process change for the semiconductor manufacturing process.

Abstract: A system may include one or more finger devices that gather input from a user's fingers. The system may include control circuitry that sends control signals to an electronic device based on the input gathered with the finger devices. A finger device may include one or more proximity sensors that measure a distance to the user's finger. The proximity sensor may be a self-mixing optical proximity sensor having a laser and photodiode. The proximity sensor may have submicron resolution and may be configured to detect very small movements of the finger as finger pad is moved around by a thumb finger, by a surface, and/or by other finger movements. The proximity sensor may measure changes in distance between the proximity sensor and a flexible membrane that rests against a side portion of the user's finger.

Abstract: Computer-implemented systems and methods for generating a mesh and conformally connecting the mesh to an existing mesh are provided. The existing mesh is displayed via a graphical user interface (GUI) of a computer-aided design modeling system using a processing system. A polyhedral mesh is generated in an empty space adjacent to the existing mesh using the processing system. The generating of the polyhedral mesh includes (i) defining the empty space as a first surface mesh comprising triangles, quadrilaterals, polygonals, or a mixture thereof, (ii) generating a dual of the first surface mesh to form a second surface mesh, the empty space being enclosed by the second surface mesh, and (iii) filling a gap region between the first and second surface meshes with the polyhedral mesh and conformally connecting the polyhedral mesh to the existing mesh using the processing system.

Abstract: Systems, methods, and non-transitory computer readable media are provided for managing pipelines of operations on data. A system may access data and provide a set of functions for the data. The system may receive a user's selection of one or more functions from the set of functions. The system may generate a pipeline of operations for the data based on the user's selection. The pipeline of operations may include the function(s) selected by the user.

Abstract: A combustion simulation system is provided. The combustion simulation system can be performed using a computing device operated by a computer user or artist. The computer-implemented method of generating one or more visual representations of a combustion even is provided. The method includes simulating the combustion event, which transforms combustion reactants into combustion products, the combustion event occurring at a reference pressure, automatically determining values of combustion properties, the values of the combustion properties being calculated as a function of a nonzero pressure field, and generating the one or more visual representations of the combustion event based on the values of combustion properties.

Abstract: A system includes multiple electrically-conductive channels and a processor. The processor is configured to receive, over the electrically-conductive channels, (i) respective first electric currents from a probe, which is within a body of a patient, via a plurality of first electrodes, which are attached to skin of the patient at a region of the body, and (ii) a second electric current from the probe via a second electrode, which is attached to the skin and is connected to one of the channels. The processor is further configured to ascertain respective first electric-current values of the first electric currents and a second electric-current value of the second electric current, and to calculate a position of the probe between the region and the second electrode, based on the first electric-current values and the second electric-current value. Other embodiments are also described.

Abstract: An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.

Abstract: A device for monitoring the use of a machine component includes a sensor configured to measure at least one operating parameter of the machine component and produce a first output signal indicative of the measured operating parameter, a control unit configured to determine information about a use of the machine based on the received first output signal and to produce a second output signal indicative of the use of the machine, and a service unit configured to receive the second output signal and to permit a continuation of existing services for the machine component and/or to provide further services for the machine component based on the second output signal.

Abstract: A method of bearing fault detection including measuring a signal of torsional energy transfer from a rotating device to a non-rotating device at a distance away from the rotating device, calculating a health status of the rotating device based on a comparison of the measured signal to a baseline signal, and calculating a remaining useful life of the rotating device.

Abstract: Methods and systems are disclosed for generatively designing a model of an assembly of mechanical parts. One method includes receiving a first set of constraints for a first part; determining a spatial relationship between the first part and a second part; updating the first set of constraints for the first part based on at least the spatial relationship between the first part and the second part; updating a second set of constraints for the second part based on at least the updated first set up constraints and/or the spatial relationship between the first part and the second part; and generating a model for the first part based on the updated first set of constraints.

Abstract: An endoscope manipulation training apparatus includes: a body including an organ support plate, two support leg plates, and an insertion tube support body; and a net body. Fitting portions are formed on both end portions of the organ support plate, threaded holes are formed in both corner portions of both end surfaces of the organ support plate, a fitting hole is formed in one of the fitting portions such that the fitting hole extends inward from an end surface of the fitting portion, and a latch groove is formed in the one of the fitting portions on both sides of the fitting hole. The support leg plate is formed such that an inner peripheral surface and an outer peripheral surface exhibit a regular octagonal shape.

Abstract: In one embodiment, a system and method for determining a natural frequency of a structure involve modeling the structure, creating a synthesized excitation comprising a plurality of waves having various frequencies within a defined range of frequencies, applying the synthesized excitation to a base of the modeled structure, and generating response data indicative of a natural frequency of the modeled structure that is based upon the application of the synthesized excitation.

Abstract: A method and system are provided for controlling braking a vehicle in an autonomous driving mode. For instance, the vehicle is controlled in the autonomous driving mode according to a first braking control mode using a first model to adjust the position of a vehicle relative to an expected position of a current trajectory of the vehicle. Using a second model how close to a maximum deviation threshold the vehicle would come if a maximum braking strength for the vehicle was applied is predicted. The maximum deviation threshold provides an allowed forward deviation from the current trajectory. Based on the prediction, the vehicle is controlled in the autonomous driving mode according to a second braking control mode by automatically applying the maximum braking strength.

Abstract: An apparatus for superimposing two-dimensional drawings of a part for manufacture onto three-dimensional computer models of the part for manufacture is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a two-dimensional drawing of a part for manufacture and a three-dimensional model of the part for manufacture. The apparatus defines an area of the two-dimensional drawing using a bounding box and extracts a section view from the area of the two-dimensional drawing. The apparatus positions the section view of the two-dimensional drawing at least partially over the three-dimensional model of the part for manufacture and aligns a component of the section view with a corresponding component of the three-dimensional model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. The neural network has a plurality of differentiable weights and a plurality of non-differentiable weights. One of the methods includes determining trained values of the plurality of differentiable weights and the non-differentiable weights by repeatedly performing operations that include determining an update to the current values of the plurality of differentiable weights using a machine learning gradient-based training technique and determining, using an evolution strategies (ES) technique, an update to the current values of a plurality of distribution parameters.

Abstract: Systems and methods for determining mechanical properties of formation rock using, for example, millimeter-scale test samples of the formation rock are disclosed. The test samples may be single edge notched beam (SENB) test samples. The systems and methods may include performing laboratory testing on the SENB test samples and recording laboratory testing data obtained from the laboratory testing and performing a simulation on a numerical model of the SENB test samples and recording the simulation data obtained from the simulation. The laboratory testing data and the simulation data may be compared, and a determination may be made as to whether a selected degree of correlation is present between the laboratory testing data and the simulation exists. Mechanical properties of the formation rock are obtained from the simulation data when the selected degree of correlation exists between the laboratory testing data and the simulation data.

Abstract: A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.

Abstract: A quotation system receives shape data of an article configured from a plurality of elements from a client terminal and provides quotation information of the article. The quotation system has: a memory storing the shape data and tolerance data in which multiple types of tolerance information relating to the elements are associated with each other; and a computer performing assistance processing to assist in setting of at least one type of the multiple types of tolerance information on the basis of the tolerance data.

Abstract: A leakage detection method for a long petroleum pipeline based on AFPSO-K-means includes: initializing a particle swarm, and defining an initial velocity and an initial position of each particle in the particle swarm; determining a fitness value of the each particle; traversing the fitness value of the each particle to obtain an optimal position corresponding to the fitness value of the each particle and a global optimal position in optimal fitness values of the particle swarm; iteratively updating a velocity and a position of the each particle based on the optimal position corresponding to the fitness value of the each particle; and when a distance from the position of the each particle to the global optimal position is less than a preset threshold or a number of iterations reaches a preset value, outputting a current iteration updated result to determine an actual leakage position of the petroleum pipeline.

Abstract: The present invention discloses an optimization method for a screen surface dynamic load of a vibrating screen. The method includes the following steps: step 1. selecting design variables, and establishing an experimental matrix; step 2. performing a response curved surface experiment; step 3. establishing two double-objective optimization models and solving the same to obtain two groups of Pareto solution sets, wherein the solution sets respectively represent screening efficiency optimization paths of the vibrating screen under the conditions of a high screen surface dynamic load and a low screen surface dynamic load; and step 4. calculating an optimization space for a screen surface dynamic load under a high screening efficiency. According to the method of the present invention, the screen surface dynamic load can be directly reduced, and the service life of the screen surface and the whole vibrating screen is prolonged.

Abstract: In a building human flow estimation system having a building human flow simulation section which receives, as input values, building traffic data indicative of floors between which people move by using an elevator in a building, building layout data related to a layout of the building, and an elevator parameter value related to the elevator and estimates a flow of people, there are provided an evaluation section which calculates an evaluation value for evaluating a reproduction degree of the flow of people estimated by the building human flow simulation section based on a first evaluation index related to the flow of people estimated by the building human flow simulation section and a second evaluation index related to an actual flow of people in the building, and an output section which outputs the evaluation value calculated by the evaluation section.

Abstract: A method for providing a natural language interface for a computer-aided design (CAD) system includes receiving a user voice input comprising a plurality of words, parsing the user voice input, determining a meaning for the parsed user voice input, the meaning including one or more words associated with an object and one or more words associated with a characteristic of the object, retrieving from a model descriptor database at least an object model descriptor and at least a characteristic descriptor, using the determined meaning, generating at least a graphical model of the object using the at least an object model descriptor, and generating at least a modified graphical model of the object, using the at least a characteristic descriptor.

Abstract: A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.

Abstract: A method of planning a platform lift. The platform lift includes a rail, platform, chair, and a drive unit attached to the platform to drive the platform along the rail. The method includes acquiring 3D-data of a stair on which the platform lift is to be installed utilizing an augmented reality device. Calculating a travel path of the rail is based on acquired 3D-data and predetermined clearance information. Visualizing part or all of the platform lift is based on the calculated path of travel via the augmented reality device. Acquiring the 3D-data includes observing the stair with the augmented reality device; marking several locations and confirming the locations via a user input; extracting surface information via a computer based analysis of the markings and optical information taken by the augmented reality device. Based on the optical information and predetermined clearance information the path of travel is calculated.

Abstract: Described herein are a system and methods for efficiently using depth and image information for a space to generate a 3D representation of that space. In some embodiments, an indication of one or more points is received with respect to image information, which is then mapped to corresponding points within depth information. A boundary may then be calculated to be associated with each of the points based on the depth information at, and surrounding, each point. Each of the boundaries are extended outward until junctions are identified as bounding the boundaries in a direction. The system may determine whether the process is complete or not based on whether any of the calculated boundaries are currently unlimited in extent in any direction. Once the system determines that each of the boundaries is limited in extent, a 3D representation of the space may be generated based on the identified junctions and/or boundaries.

Abstract: An automatic program-correction device includes: a clearance detecting unit that detects an amount of clearance between a robot and a peripheral device in an operation program; a near-miss detecting unit that detects a near-miss section; a closest-point detecting unit that detects a pair of closest points, in the near-miss section; and a program updating unit that generates a new operation program having an intermediate teaching point to which the closest points have been moved, along a straight line passing through the detected pair of closest points, until the amount of clearance becomes greater than a minimum amount of clearance and equal to or less than the threshold. While gradually reducing, from the threshold, the amount of clearance at the intermediate teaching point, the program updating unit obtains an intermediate teaching point that provides a maximum amount of clearance at which a new near-miss section is not detected.

Abstract: Methods, systems, and computer-readable storage media for receiving a time-series of data values associated with a plurality of sensors, each sensor generating at least a portion of the time-series of a respective data value, providing a plurality of auto-regression models, each auto-regression model being provided based on a respective first sub-set of the time-series of data values used as input, and a respective second sub-set of the time-series of data values used as training data during a training process, receiving respective data values associated with a time from and generated by each of the plurality of sensors, determining respective predicted values for each of the auto-regression models, and selectively indicating that an anomaly is present in the system based on respective predicted values for each of the auto-regression models, and the respective data values associated with a time.

Abstract: A method of extracting a feature from a data set includes iteratively extracting a feature from a data set based on a visualization of a residual pattern within the data set, wherein the feature is distinct from a feature extracted in a previous iteration, and the visualization of the residual pattern uses the feature extracted in the previous iteration. Visualizing the data set using the feature extracted in the previous iteration may include showing residual patterns of attribute data that are relevant to target data. Visualizing the data set using the feature extracted in the previous iteration may involve adding cluster constraints to the data set, based on the feature extracted in the previous iteration. Additionally or alternatively, visualizing the data set using the feature extracted in the previous iteration may involve defining conditional probabilities conditioned on the feature extracted in the previous iteration.

Abstract: An assistance device (10) for assisting in the adjustment of a damping choke (1) of a fluidic actuator (30), wherein the assistance device (10) includes a display arrangement (3) and is adapted to determine an adjustment recommendation for the adjustment of the damping choke (1) on the basis of a detected movement of an actuator member (4) of the fluidic actuator (30) and to display the adjustment recommendation via the display arrangement (3), and the assistance device (10) is further adapted to determine, based on the movement of the actuator member (4), operational safety information based on kinetic energy related to the movement of the actuator member (4), and to display the operational safety information via the display arrangement (3).

Abstract: Techniques for predicting failure mode specific reliability characteristics of tangible equipment using parametric probability models are disclosed. In some example embodiments, a computer system receives a model training configuration entered via a user interface, trains a failure curve model for a selected failure mode of a selected equipment model based on the model training configuration at a time indicated by training schedule data, and generates analytical data for the selected failure mode of the selected equipment model using the trained failure curve model. The failure mode corresponds to a specific way in which the equipment model is capable of failing. In some example embodiments, the training of the failure curve model comprises determining a shape parameter and a scale parameter for the failure curve model based on a fitting of failure event data to a continuous probability distribution, and storing the parameters for use in generating the analytical data.

Abstract: A system for simultaneously testing whether a plurality of electronic devices connected via a communication network correctly handle exceptions. The system includes a communication network, and a plurality of electronic devices and a testing device connected via the communication network. The testing device includes an electronic processor. The electronic processor is configured to send a first status query message to the plurality of electronic devices, send fuzzed data to one or more of the plurality of electronic devices, and send a second status query message to the plurality of the electronic devices. The electronic processor is also configured to, for each electronic device that responds to the first status query message with a valid response and responds to the second status query message with an invalid response or fails to respond to the second status query message, record the electronic device in a failure log.