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: 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: 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: 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.

Abstract: A method of drilling includes obtaining historical data for historical wells in a field, determining a set of drilling parameters, and determining a set of hole section sizes defining a wellbore geometry. For each combination of a parameter in the set of parameters and a hole section size in the set of hole section sizes, historical wells having average values of the parameter exceeding a threshold for the hole section size from the historical surface drilling data are selected. An expected output for each of a model to be trained by each of the selected historical wells is derived based on a rate of penetration while drilling. A final model is trained with the selected historical wells and expected outputs. An operating envelope is determined for each of the parameters in the set of parameters from the trained model. The operating envelopes may be used to guide drilling of a well in the field.

Abstract: A method and a system for assembling a screw connection for a predefined operating load. The system includes a detector configured to detect values of at least one influence factor on the screw connection, a calculator configured to determine, based on the operating load, a required pretensioning force of the screw connection, and, based on the determined pretensioning force, to determine an expression of at least one assembly parameter, and an assembler configured to assemble the screw connection in accordance with the determined expression of the assembly parameter.

Abstract: An industrial control design and testing system allows vendor-specific digital twins of industrial robots to be imported into a vendor-agnostic simulation platform so that coordinated operation of the robots within the context of a larger automation system can be simulated and observed. Rather than requiring a designer to re-write the robot program in a format understandable by the simulation system, the design and testing system can link to instances of the vendor-specific robot simulation platforms to facilitate execution of the actual robot programs that will be installed and executed on the corresponding physical robots. This accurately simulates operation of the robots in a manner that requires less development work on the part of the designer and allows the robot's surrounding environment to be modeled and simulated more accurately than would be the case using a simulation platform specific to a particular robot vendor.

Abstract: Embodiments of this application disclose a dynamic image compositing method performed at a terminal. A skeleton animation of an animation model is displayed on a real-world image captured by the terminal; a currently displayed target real-world image is captured in a case that a photographing instruction is received, and the skeleton animation of the animation model is recorded, to obtain the recorded skeleton animation; image compositing is performed on the target real-world image and each frame of image of the recorded skeleton animation, to obtain a plurality of composited images; and the plurality of composited images are combined into a corresponding dynamic image. Based on the solutions, the real-world image and the skeleton animation of the animation model may be automatically composited into the corresponding dynamic image, and a user does not need to perform a large quantity of repetitive image addition and selection operations.

Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

Abstract: A method and computer system for dynamically updating a model associated to a simulated interactive object in an interactive computer simulation comprising a computer generated environment. In real-time, a simulated behavior of the simulated interactive object is provided considering the model associated thereto. After reception of a request to modify the model, a new model is determined and validated by computing a validation indicator. The validation indicator computation considers interrelated parameters associated to the model and simulated constraints associated to the computer generated environment. The model is then selectively and dynamically updated into a new model considering at least the validation indicator. Subsequently, in real-time, an updated simulated behavior of the simulated interactive object is provided correspondingly considering the model or the new model associated thereto.

Abstract: Unlike existing methods that rely on a manual procedure for setting conditions for performing computer-based simulations, embodiments automatically set conditions for a simulation of a real-world object represented by a computer aided design (CAD) model. In one such embodiment, the morphology of a CAD mode is analyzed to identify a function of an element of the CAD model. In turn, conditions for a simulation are defined based upon one or more rules corresponding to the identified function of the element of the CAD model, where said defining includes automatically setting conditions in a simulation of the real-world physical object.

Abstract: In order to detect when a kinematic linkage leaves workspaces and/or enters safe spaces, using little computing power, and therefore doing so more quickly, at least a part of the kinematic linkage is modeled with a number of kinematic objects, and a monitoring space is specified. The number of kinematic objects is modeled in less than two dimensions D<2. For each modeled kinematic object, a geometric variable of a monitoring space is modified by a distance. Each distance is derived from at least one geometric parameter of the modeled kinematic object. The position of each of the number of kinematic objects is checked in relation to the modified monitoring spaces.

Abstract: A design engine consolidates portions of a mechanical assembly design to reduce the number of components included in the design. The design engine analyzes the design to determine various criteria associated with the assembly. Then, the design engine identifies a group of components within the design to be consolidated. The design engine determines a volumetric region where the group of components resides and then subdivides the volumetric region. The design engine then initiates a generative design process based on the determined criteria to create geometry within each subdivision of the volumetric region. The newly generated geometry includes fewer components than the initial group of components. The design engine then replaces the group of components with the newly generated geometry, thereby consolidating the group and reducing the total number of components included in the design.

Abstract: A failure diagnosis system flexibly responds to a change in a diagnosis target by using a difference in measurement data before and after maintenance in predictive failure diagnosis. A pre-maintenance data DB stores measurement data before maintenance, and a post-maintenance data DB stores measurement data after maintenance. A feature detection algorithm group DB is provided where a plurality of feature detection algorithms are stored. A first feature is detected based on the measurement data by using each of the plurality of feature detection algorithms read from the feature detection algorithm group DB. An algorithm search unit selects one of the plurality of algorithms based on the feature thus detected. A second feature is detected from the measurement data by using the feature detection algorithm, and a sign predictive of failure of diagnosis of target equipment is diagnosed using the detected second feature.

Abstract: A functional relationship management (FRM) system manages design, implementation and manufacture of products. The FRM system may organize and manages diverse sets of design inputs from diverse sources, computing functional conditions for each set of design inputs. Published design inputs and resulting functional conditions can be shared among several users. Each user may implement a distinct set of working design inputs, and the system can provide the resulting set of working functional conditions. When used with a variational modeling system, the FRM system can be automatically populated to identify all design inputs that affect a functional condition in a given variational model. The system also supports the ability for users to manually add models, design inputs, functional conditions, and functional relationships between the design inputs and functional conditions. The system further supports the addition of FMEA data such as failure modes.

Abstract: A method and system provide the ability to generate a transformable structure. Design inputs are received. The design inputs include a first design, a second design, and functional inputs (i.e., relating to visual elements) for the two designs. Different facets of the first design are analyzed. The first design is dissected into multiple blocks that can be assembled to create the first design. A new design is converged by analyzing the dissected first design and the functional inputs, wherein the new design represents a design where first design is convertible into the second design.

Abstract: Techniques are disclosed for generation of 3D structures. A methodology implementing the techniques according to an embodiment includes initializing systems configured to provide rules that specify edge connections between vertices and parametric properties of the vertices. The rules are applied to an initial set of vertices to generate 3D graphs for each of these vertex-rule-graph (VRG) systems. The initial set of vertices is associated with provided interaction surfaces of a 3D model. Skeleton geometries are generated for the 3D graphs, and an associated objective function is calculated. The objective function is configured to evaluate the fitness of the skeleton geometries based on given geometric and functional constraints. A 3D structure is generated through an iterative application of genetic programming techniques applied to the VRG systems to minimize the objective function. Receiving updated constraints and interaction surfaces, for incorporation in the iterative process.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: A method of modeling dynamic system performance includes enabling a user to create a user-defined static behavior model of a user-defined system of computers, networks and/or bridges. A library of blocks is provided that each represent a computer, a network and/or a bridge for the user to use in defining a user-defined static behavior model, at least some of the blocks in the library of blocks may include one or more block parameters that are user definable. The static behavior model is automatically converted into a dynamic behavior model that is compatible with a simulator and is read into the simulator. A plurality of Monte-Carlo simulations are run on the dynamic behavior model to produce a plurality of simulation outputs, which are analyzed and the analyzed results are outputted.

Abstract: Systems, methods, and processing nodes determine and perform preventive maintenance on a transport vehicle in a transportation system. The method includes extracting features for previous incidents that have occurred to a plurality of transport vehicles in the transportation system. The method also includes determining a criticality of types of incidents based on the features extracted. The method includes predicting, based on the criticality of types of incidents and the features extracted, details of at least one future incident for a first transport vehicle from the plurality of transport vehicles. The details include a predicted type of the at least one future incident, a predicted time of the at least one future incident, and a predicted criticality of the at least one future incident. Additionally, the method includes performing a prescriptive action for the first transport vehicle to mitigate the at least one future incident in the first transport vehicle.

Abstract: The invention is directed to modeling of heat and vibration for structures. Therefore, with a traditional model division for each component, one-to-one correspondence between the models and the components is not necessarily realized. There has been a problem in that it is difficult to divide the models. To solve the above problem, a simulation program according to the present invention includes a first model for calculating a first vehicle characteristics parameter, a second model for calculating a second vehicle characteristics parameter to transfer energy without converting the energy, and an interface model for performing conversion calculation of the first vehicle characteristics parameter and the second vehicle characteristics parameter.

Abstract: Data structure for image-processing data is for creating image-processing data necessary for performing image processing on captured images of multiple workpieces when an articulated robot extracts a workable target workpiece from among multiple supplied workpieces. The data structure includes workpiece shape data for recognizing a target workpiece by pattern matching and tool data configured to check whether there is interference between a tool mounted on the articulated robot and a peripheral workpiece. The data structure is configured such that the combination of the workpiece shape data and the tool data can be rearranged for each workpiece or for each tool.

Abstract: A blast plan control system and method used to control a drill and blast event is disclosed. The system and method customizes results for specific conditions. The system can receive certain inputs, such as conditions of the area to be blasted and the desired rock fragment size, and use these inputs to output a plurality of blast plans characterized by a set of characteristics that achieve the desired fragmentation size. A user can select a blast plan for execution from the plurality of blast plans. When the control system receives a selected blast plan, the control system can generate a work order for the selected blast plan and communicate the work order to operators and/or drilling equipment associated with execution of the drill and blast event. The operators and/or drilling equipment can then prepare for and execute the selected blast plan.

Abstract: Systems and methods for implementing a modeling language extension for inter-partition communication are provided. Aspects include defining, by a modeling language, a simulation model, defining a simulation model extension, the simulation model extension comprising at least one sampling port communication module and at least one queueing port communication module, and adding the simulation model extension to the simulation model.

Abstract: Techniques related to hosted client management comprising providing a hosted client instance over a network interface for communicatively coupling with a remote client device, the hosted client instance including a first application component for performing a first plurality of actions associated with the hosted client instance and a second application component for performing a second plurality of actions, monitoring, by the first application component, the second application component for an event associated with the second application component, determining that the event impacts the first application component based on one or more dependency tables associated with the second application component, and displaying, in a user interface of the first application component, information related to the event.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate a predictive asset health quantifier of a turbine engine. An example apparatus includes a performance model analyzer to determine a fleet behavior parameter by generating a reference performance model using historical information for a fleet of operators using turbine engines, generate a residual performance model based on calculating a difference between the fleet behavior parameter and a plurality of operator behavior parameters, identify an operator as a candidate improvement target based on comparing the operator behavior parameters corresponding to the operator to the fleet in the residual performance model, and determine an adjusted operator behavior parameter for the candidate improvement target.

Abstract: A modeling method for a high-density discrete particle multiphase system, including the following steps: determining a model boundary; drawing up a volume sum of particle phases within each size range in the model; generating compact models of particle models within all size ranges; expanding the particles in the compact models; and obtaining a high-density particle accumulation model. The method can be used for modeling of meso-structures of particle reinforced composite materials, granular materials in soft matter, particle accumulation materials and the like, and can also be extended to short fiber reinforced composite materials and the like. The method solves the modeling problem when the particles intersect with the model boundary, and can be applied to the modeling and analysis of composite specimens with machined surfaces.

Abstract: In various embodiments, a training application generates a trained encoder that automatically generates shape embeddings having a first size and representing three-dimensional (3D) geometry shapes, First, the training application generates a different view activation for each of multiple views associated with a first 3D geometry based on a first convolutional neural network (CNN) block. The training application then aggregates the view activations to generate a tiled activation. Subsequently, the training application generates a first shape embedding having the first size based on the tiled activation and a second CNN block. The training application then generates multiple re-constructed views based on the first shape embedding. The training application performs training operation(s) on at least one of the first CNN block and the second CNN block based on the views and the re-constructed views to generate the trained encoder.

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.