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: 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: 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: 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 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 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 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: 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 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: 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 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.

Abstract: A method includes: training a machine learning model with a plurality of electronic circuit placement layouts; predicting, by the machine learning model, fix rates of design rule check (DRC) violations of a new electronic circuit placement layout; identifying hard-to-fix (HTF) DRC violations among the DRC violations based on the fix rates of the DRC violations of the new electronic circuit placement layout; and fixing, by an engineering change order (ECO) tool, the DRC violations.

Abstract: A determiner which learns acceleration measurement data which has been obtained by an accelerated aging test and indicates that a facility changes from a normal state to an aged state, and advance label data which is obtained by giving a label to data indicating characteristics of aging in the acceleration measurement data. Measurement data of aging diagnosis is obtained from the facility which is operating, teacher aging degree label data is found from a record of maintenance of the facility, and additional data is obtained from the measurement data and the teacher aging degree label data. When a difference between predicted aging degree label data and teacher aging degree label data is greater than a predetermined value, learning data is selected as additional learning data. The additional learning data is learned to update the determiner.

Abstract: A multiple fluid model tool for training and/or refining of fluid models using disparate and/or aggregated machine data is presented. For example, a system includes a modeling component, a machine learning component, a three-dimensional design component and a data collection component. The modeling component generates a three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a machine learning process associated with the three-dimensional model. The three-dimensional design component provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device on the three-dimensional model based on the one or more characteristics of the mechanical device.

Abstract: Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a simulation model are disclosed herein. The simulation model is calibrated for a building of interest. The building of interest includes building equipment operable to control a variable state of the building. The simulated data of system states are generated using the calibrated simulation model. A surrogate model is trained based on the simulated data of system states from the calibrated simulation model. System state predictions are generated using the surrogate model. The surrogate model is re-trained based on updated operational data. An updated series of system state predictions is generated using the re-trained surrogate model.

Abstract: Systems and methods automatically construct a realization of a model from an available set of alternative co-simulation components, where the realization meets one or more objectives, such as fidelity, execution speed, or memory usage, among others. The systems and methods may construct the realization model by setting up and solving a constrained optimization problem, which may select particular ones of the alternative co-simulation components to meet the objectives. The systems and methods may configure the realization, and execute the realized model through co-simulation. The systems and methods may employ and manage different execution engines and/or different solvers to run the realization of the model.

Abstract: A vehicle includes a communication device configured to request a neighboring vehicle for first data related to autonomous driving of the neighboring vehicle and to receive the first data from the neighboring vehicle while the vehicle is driving; a sensor device configured to sense second data regarding a state of a user of the vehicle and to detect third data regarding driving information of the neighboring vehicle; and a controller configured to classify risks of the vehicle into classes according to a preset criterion based on the first data, the second data, and the third data, and to score the risks based on the classified classes.

Abstract: Methods are provided for designing a structure with developable surfaces using a surface developability constraint. The surface developability constraint is developed based on the discovery of a sufficient condition for surface piecewise developability, namely surface normal directions lie on a small, finite number of planes. Automated methods and algorithms may include providing a design domain and a characteristic function of a material in the design domain to be optimized. The methods include defining a nodal density of the material, and determining surface normal directions of a plurality of planes. A density gradient that describes the surface normal directions is then determined. The methods include performing a topology optimization process on the design domain using a surface developability constraint that is based, at least in part, on the characteristic function. A geometric domain is then created for the structure using results from the topology optimization.

Abstract: Implementations include receiving two or more time-series data sequences representative of a target process executed within a physical environment, executing automated time-series process segmentation to provide a plurality of subsequence segments for each of the two or more time-series data sequences, each subsequence segment corresponding to a phase of the target process, processing the two or more subsequence segments using at least one time-series transformation to provide a feature data set for each subsequence segment, applying each feature data set to provide time-series models for anomaly detection and forecasting, respectively, each time-series model being provided as one of a recurrent neural network (RNN), a convolution neural network (CNN), and a generative adversarial network (GAN), determining anomaly scores based on the time-series models, and selectively providing an alert to one or more users, each alert indicating at least one anomaly and a respective probability.

Abstract: A method for diagnosing analog circuit fault based on vector-valued regularized kernel function approximation, includes steps of: step (1) acquiring a fault response voltage signal of an analog circuit; step (2) carrying out wavelet packet transform on the collected signal, and calculating a wavelet packet coefficient energy value as a characteristic parameter; step (3) utilizing a quantum particle swarm optimization algorithm to optimize a regularization parameter and kernel parameter of vector-valued regularized kernel function approximation, and training a fault diagnosis model; and step (4) utilizing the trained diagnosis model to recognize circuit faults.

Abstract: A training device (10) for simulating a mechanical function of a medicament delivery device, which training device (10) comprises a dummy housing (20), a first element (52) comprising an actuator (70), a second element (58) comprising an indication member (60), and wherein a relative movement of the first element (52) towards the second element (58), which movement exceeds at least a distance D, causes the actuator (70) to interact with the indication member (60) such that a feedback signal is generated for indicating to a user that a simulated mechanical function has occurred.

Abstract: In one embodiment, a computing system of a vehicle may receive vehicle driving data associated with a vehicle driving in an environment and detected environment data associated with the environment. The system may generate a reference trajectory of the vehicle driving in the environment based on the vehicle driving data. The system may determine driving constraints associated with the environment based on the detected environmental data. The system may generate a trajectory of the vehicle based on the driving constraints. The system may determine a difference in at least one parameter associated with the trajectory relative to at least one corresponding parameter associated with the reference trajectory. The system may adjust weight values associated with cost functions of the trajectory based on the difference between the at least one parameter associated with the trajectory and the corresponding parameter associated with the reference trajectory.

Abstract: A learning method and an automatic layout design method are disclosed. In one embodiment, provided is a learning method implementable by an apparatus for a system performing a layout design for automatically determining layout positions of a plurality of layout objects to be placed in a layout space by virtually moving the plurality of layout objects in the layout space based on a relationship between states of the plurality of layout objects in the layout space and movements of the plurality of layout objects to be performed, the method comprising: virtually moving a plurality of first layout objects in the layout space, determining a reward depending on whether or not the plurality of first layout objects interfere with another object in the layout space, and performing a learning process for learning the relationship through machine learning based on the reward.

Abstract: In a method for predicting a turbine outlet temperature at a future use of a gas turbine based on a past use thereof, the turbine outlet temperature (objective variable) at the future use is predicted by a turbine outlet temperature model by using a parameter (explanatory variable) in environmental and operational conditions planned for the future use and a rotating speed of a fan (explanatory variable) planned for the future use, and coefficients with respect to the explanatory variables are identified through a learning. In the learning, the coefficients are identified based on a regression learning of the explanatory variables and the objective variable of the turbine outlet temperature model made by using the parameter, the rotating speed of the fan and the turbine outlet temperature at the past use of the gas turbine.

Abstract: The disclosure provides a method, an apparatus, and a storage medium for controlling a heating system in a combined heat and power system. The method includes: establishing a load flow model of the heating system, in which the heating system includes pipelines and nodes; the nodes include loads and heating sources; the load flow model includes an objective function and constraints; the objective function for maximizing and minimizing an inlet water temperature of each load or each source; solving the load flow model to obtain an upper limit and a lower limit of the inlet water temperature of each load or each source; and controlling the inlet water temperature of each load or each source based on the upper limit and the lower limit of the inlet water temperature of each load or each source.

Abstract: Systems and methods for placement of both the prosthetic acetabular cup and the prosthetic femoral head which takes account of the patient's particular anatomy, with inter-operative testing of the patient's body to find an optimum positioning (angles) for the components. The system allows a procedure with less pre-operative and inter-operative imaging, providing for reduced radiation exposure for doctors and patients.

Abstract: Disclosed is a positioning instrument that includes: two branches equipped at the proximal end thereof with an opposite jaw between which the graft is positioned, the two branches moving closer to one another by a translation movement; and a drill bush including a first hole and a second hole, separated by a distance and sized for the passage and guidance of a bone drill bit. Also disclosed are an instrument kit as well as a method for attaching a graft.

Abstract: Systems can include at least one friction wheel configured to engage a catheter of an intravascular system such that proximal or distal motion of the catheter causes the friction wheel to rotate. A position sensor can include a reference element and a movable element, wherein the movable element is configured to move relative to the reference element in response to rotation of the at least one friction wheel. The position sensor can provide a position signal representative of the rotation of the at least one friction wheel. An intravascular processing engine can receive both the position signal from the position sensor and an intravascular signal from the catheter.

Abstract: A method of automatically identifying a network of geometries is performed on a data processing system. The method includes receiving one or more geometries having all or part of a network of geometries; recognizing adjacent tangencies to automatically identify another geometry in the network, or to determine that each geometry is connected to its neighbor through adjacent tangencies; repeating the recognition step until all geometries forming the network of geometries have been determined; and labelling the identified network as a slotdog.

Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including a forecasting device configured to forecast hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements, where the forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.

Abstract: The disclosure provides a stage-by-stage measurement, regulation and distribution method for dynamic characteristics of multi-stage components of large-scale high-speed rotary equipment. Firstly, a single-stage rotor circular contour measurement model is established, and the circular contour measurement model is simplified by using a distance from an ith sampling point of an ellipse to a geometry center to obtain a simplified circular contour measurement model. Then, actually measured circular contour data is taken into the simplified circular contour measurement model to determine a relationship between dynamic response parameters after rotor assembly and eccentricity errors as well as the amount of unbalance of all stages of rotors. Finally, a rotor speed is set according to the relationship between the dynamic response parameters after rotor assembly and the eccentricity errors as well as the amount of unbalance of all stages of rotors to obtain a critical speed parameter objective function.

Abstract: Systems and methods are provided for simulating propagation of cracks in an object in a physical system. Data indicative of the object in the physical system is received, where the object includes a plurality of cracks. Characteristics of each of the plurality of cracks are determined based on the data, and a weight value is calculated for each of the plurality of cracks based on the determined characteristics. A group of one or more processors is assigned to simulate behavior of each crack, where a number of processors assigned to each group is based on the calculated weight value associated with that crack. Simulation data is received from each of the groups of processors, and the simulation data is stored in a non-transitory computer-readable medium.

Abstract: A method for controlling an air-cooled internal combustion engine (ICE) of a motor vehicle controlled by an electronic control unit, includes: activating the electronic control unit; zeroing stored values of temperature of the ICE and the filtered filtering coefficient; in one iteration, —determining whether the ICE is operating, determining a filtering coefficient and a temperature setpoint, —determining a filtered filtering coefficient based on the filtering coefficient and the stored filtered filtering coefficient value, —determining temperature of the ICE according to the coefficient, temperature setpoint and stored temperature of the ICE, —determining whether the ICE is moving and whether the difference between engine temperature and admitted air temperature is below a threshold, ? if not, storing the filtered filtering coefficient and the temperature of the ICE, then beginning a new iteration, and ? if so, transmitting a signal authorizing the shutdown of the electronic control unit.

Abstract: An apparatus for designing a structural product is provided. The apparatus accesses a computer-aided design (CAD) model that represents a first design of the structural product by a first geometry and accesses a finite element method (FEM) model that represents a second design of the structural product by a mesh of elements arranged in a second geometry. The apparatus performs a comparison of the CAD model and the FEM model to determine a similarity between the first geometry and the second geometry and produces a resulting FEM model based on the similarity, and that represents the first design of the structural product. The apparatus performs a finite element analysis on the resulting FEM model and performs a classical analysis to evaluate the first design of the structural product, produces an output based on the classical analysis, and displays the output to facilitate design of the structural product.

Abstract: Provided are a data receiving method and device to increase a probability of receiving normal data from a plurality of peripheral devices. A data receiving method of a device includes receiving current data from any one peripheral device of a plurality of peripheral devices, determining whether the received current data is normal data, calculating a probability that next data is normal data, on the basis of a result of the determination, and determining whether to receive the next data according to the calculated probability, in which the next data is data transmitted by the any one peripheral device or another peripheral device.