Abstract: An information processing device includes a control unit that performs prediction, from a first movement route including a predetermined number of continuous road links, of one or more road links that are traveled by a first mobile object subsequent to the first movement route, based on movement history information on one or more mobile objects traveling on a road. The control unit performs the prediction by using a machine learning model that, for an input of sequential data, outputs one piece of data or sequential data subsequent to the input sequential data.

Abstract: The invention provides an induced polarization method and system mounted on a while drilling-type drill rig based on a long-length power source for water detection in tunnels, wherein the IP system comprises a long-length power source module for power supply while drilling, comprising a long-length power source and an electrode being a drill pipe of the while drilling-type drill rig; an array-type data collection module; and, a positioning and interpretation module, that may interpret and image data induced separately when a point power source is located near a drill bit at a current time obtained by differentiating an IP signal for water detection in tunnel at the current time from an IP signal for water detection in the tunnel at a previous time, to realize a dynamic identification of hazardous water sources in front of the tunnel face, and the detection while drilling or multi-detection while drilling.

Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.

Abstract: A method for allocating resources for a plurality of time intervals, including: receiving a forecasted workload and at least one required service metric value; applying a search algorithm to identify an initial allocation assignment; inputting the assignment to a machine learning algorithm, the machine learning algorithm trained on historic data of past intervals; predicting an expected service metric value provided by the initial allocation assignment; adjusting the initial allocation assignment based on a difference between the expected service metric value and the corresponding required service metric value; iteratively repeating the applying, inputting, predicting, and adjusting operations until one of: the expected service metric value predicted for an adjusted allocation assignment is within a predetermined distance of the corresponding at least one required service metric value for the interval; or a predetermined time has elapsed.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to retrieve projection rules for generating a building graph projection. The instructions cause the one or more processors to retrieve a plurality of entities representing elements of the building and a plurality of relationships between the plurality of entities representing relationships between the plurality of entities, construct the building graph projection including a plurality of nodes and a plurality of edges based on the plurality of entities, the plurality of relationships, and the projection rules, and perform one or more operations based on the building graph projection.

Abstract: The present disclosure relates to an extended reality (XR)-based supervision assisting device, which finds a construction error by comparing a real design object photographed by a camera of the supervision assisting device with building information modelling (BIM) design data, and corrects the BIM design data to fit the real design object when the construction error between the real design object and the BIM design data exceeds a preset error tolerance range, thereby adjusting the BIM design data according to the construction error.

Abstract: Apparatuses, systems, and techniques apply to a force-based (e.g., primal) formulation for object simulation. In at least one embodiment, updates to the force-based formulation is determined by solving for constraints that are to be satisfied when simulating rigid bodies (e.g., contact rich scenarios).

Abstract: An estimation apparatus includes: input means for inputting aggregated data in which a plurality of data are aggregated, and feature data representing a feature of the aggregated data; determination means for determining a parameter of a model of the plurality of data before the aggregation of the aggregated data, using a predetermined function and the feature data; and estimation means for estimating a parameter of the function and the plurality of data by optimizing a predetermined objective function, using the aggregated data.

Abstract: A teaching support device configured to perform teaching to a robot which has a robot arm a tip of which is attached with a polishing tool, and which controls the robot arm with force control to perform a polishing task on an object includes a teaching point acquisition section configured to obtain information related to a plurality of teaching points set to the object, a polishing parameter acquisition section configured to obtain information related to a polishing parameter of the polishing task at the plurality of teaching points obtained by the teaching point acquisition section, and a display control section configured to display the teaching point out of the plurality of teaching points with a color based on the polishing parameter obtained by the polishing parameter acquisition section so as to overlap the object.

Abstract: A method, computer system, and a computer program product for simulating industrial safety is provided. The present invention may include receiving data for a physical ecosystem, the physical ecosystem being comprised of a plurality of physical assets. The present invention may include generating a digital twin of the physical ecosystem, wherein the digital twin includes a digital representation of the plurality of physical assets. The present invention may include simulating a performance of the digital twin in a plurality of conditions. The present invention may include providing one or more recommendations to a user based on the performance of the digital twin in the plurality of conditions.

Abstract: A subject motion measuring apparatus includes a camera for imaging a subject, at least one memory storing a program, and at least one processor which, by executing the program, causes the subject motion measuring apparatus to acquire three-dimensional coordinate data on a patch set in frame data included in moving image data imaged by the camera. The processor tracks the patch in the moving image data imaged by the camera and generates motion data on the subject on the basis of the three-dimensional coordinate data on the tracked patch.

Abstract: A method for generating a data set grid (2) containing location-based data includes: providing a data set (1) containing location-based data for a region (5), wherein the location-based data include at least location-based radar data, location-based LIDAR data, and location-based GCP data; providing a grid, which subdivides the region into subregions, having a plurality of grid cells (3, 3?); assigning the location-based data to a grid cell (3, 3?); storing the location-based data, grid cell by grid cell, in a file (6) in each case in such a manner that the file contains the location-based data of a grid cell (3, 3?).

Abstract: A system and method for facilitating moving particles in a virtual space use depth information that reflects distances of objects in a virtual space to either a ground level or a viewpoint. The depth information may be stored in a set of information. The system detects collisions of particles and other objects based on the depth information, on a frame-by-frame basis.

Abstract: Advanced vehicle control systems are disclosed. Within a vehicle system having several subsystem controllers dedicated to separate tasks in the vehicle, the subsystem controllers may use supplied control parameters. In this context, a centralized optimization unit is configured to receive prediction data, determine, within a prediction horizon, a modification to at least one supplied control parameter using the prediction data; and communicate the modification to the at least one supplied control parameter to at least one subsystem control unit.

Abstract: A computerized method for generating a 3D Computer-Aided Design (CAD) is provided. The method comprising: receiving an input comprising requirements for a new design; processing the input to generate a CAD design using a trained AI model, wherein the CAD design is an assembly of at least two separate components; and outputting the CAD design.

Abstract: Provided is a system and method which decomposes a predicted output signal of a time-series forecasting model into a plurality of sub signals that correspond to a plurality of components, and determines and displays a global contribution of each component. In one example, the method may include iteratively predicting an output signal of a time-series data value via execution of a time-series model, decomposing the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning algorithm, respectively, and displaying the plurality of global values via a user interface.

Abstract: Methods and apparatus are provided for real-time anomaly detection over sets of time-series data. One method comprises: obtaining a state-space representation of a plurality of states and transitions between said states based on sets of historical time-series data; obtaining an anomaly detection model trained using a supervised learning technique, wherein the anomaly detection model associates sequences of states in the state-space representation with annotated anomalies in the sets of historical time-series data and assigns a probability to said sequences of states; and, for incoming real-time time-series data, determining a likelihood of a current state belonging to a plurality of possible states in the state-space representation; and determining a probability of incurring said annotated anomalies based on a plurality of likely current state sequences that satisfy a predefined likelihood criteria.

Abstract: A presentation, organizational and analytical system comprises includes an information database component that allows project specific ability to organize data and observations. A computer system constructs visual overlays of spatially mapped features, quantitative and qualitative attributes and produces an analytical framework where the attributes of any spatial location change in response to changes in the features of a context.

Abstract: A deposition-condition output device includes a first calculating unit that calculates a first deposition condition under which a target result of deposition is obtained, based on a liner regression model applied to a deposition process by a deposition apparatus. The deposition-condition output device includes a second calculating unit that calculates a second deposition condition under which the target result of the deposition is obtained, based on a nonlinear regression model applied to the deposition process by the deposition apparatus, the second deposition condition being calculated by estimating a confidence interval of a predicted result of the deposition. The deposition-condition output device includes a selector that selects either the first deposition condition or the second deposition condition, based on whether the confidence interval of the predicted result estimated under the calculated second deposition condition satisfies a predetermined condition.

Abstract: In some embodiments, a computer-implemented method for creating a fabricable segmented design for a physical device is provided. A computing system receives a design specification. The computing system generates a proposed segmented design based on the design specification. The computing system determines two or more loss values based on the proposed segmented design. The computing system combines the two or more loss values to create a combined loss value. The computing system creates an updated design specification using the combined loss value. The generating, determining, combining, and creating actions are repeated until a fabricable segmented design is generated.

Abstract: A platform, system, and method for simulating critical rock collapse of surrounding rock in underground engineering includes: four vertically arranged reaction walls defining a square reaction space, and a base mounted at a lower end opening of the wall; and a row of horizontally arranged stress loading plates at a side of each wall close to the reaction space, and a reaction beam above this space, where the reaction beam, the stress loading plate, and the base define a loading space, and the loading space is configured for placement of a surrounding rock simulation block to be tested; the stress loading plate capable of moving horizontally in a direction of the reaction wall, and the reaction beam capable of moving in a vertical direction, so as to load the surrounding rock simulation block; and the stress loading plate and the reaction beam being driven by linear motion units for movement.

Abstract: Systems and methods for population health surveillance utilizing a network of smart thermometers is provided. Based on the geolocated user data provided by the smart thermometers, contagious illness can be forecasted for various population nodes. Population nodes can be provided at various levels of granularity. Geographic or population specific early warning signals can be generated based on detected outbreaks of contagious illness.

Abstract: A method for calibrating close interval survey (CIS) data with remotely monitored data includes obtaining a plurality of CIS measurements from a plurality of CIS locations along a pipeline, obtaining a first plurality of remotely monitored measurements from a plurality of test stations positioned along the pipeline for a first time period, assigning, for each of the plurality of test stations, one of the plurality of CIS locations as an adjacent CIS location based on location data for the plurality of CIS locations and the plurality of test stations, and, calibrating the CIS data with the remotely monitored data by using the first plurality of remotely monitored measurements for each of the plurality of test stations as a proxy measurement for the adjacent CIS location.

Abstract: Techniques for forecasting solar power generation include a computing device determining a clear-sky solar power generation level for a photovoltaic installation; receiving, from a first measurement device, measurement data indicating an amount of cloud cover at a first location of the first measurement device, wherein the first measurement device and the photovoltaic installation are located in a same geographical area; and generating a solar power generation forecast for the photovoltaic installation based on the clear-sky solar power generation level and the measurement data.

Abstract: Provided is a process of inferring insurability scores, the process including: receiving a request for an insurance comparison webpage; sending instructions to present one or more webpages of a website having a plurality of user inputs configured to receive a plurality of attributes of the user; receiving the attributes; determining an insurability score with an insurability model based on the received attributes of the user; and sending instructions to display a value indicative of the insurability score.

Abstract: A system and method for automatically predicting and detecting a failure of a system or a component includes one or data sources, a data pipeline interface communicably coupled to the one or more data sources, one or more processors communicably coupled to the data pipeline interface and the one or more relational databases, and one or more devices coupled to the one or more processors. The data pipeline interface processes and stores the data in one or more relational databases. The one or more processors quantify, forecast and prognosticate a likelihood of future events using one or more predictive modules, and determine one or more options and impacts using a prescriptive module. The one or more devices provide the one or more options and impacts or implement the one or more options.

Abstract: A computer may display on a graphical user interface (GUI) a component library including a set of components relating to a compressed air system. The GUI may have a modeling interface for configuring a virtual model using the set of components. The computer may simulate the virtual model to determine one or more optimizations to the compressed air system. The computer may also determine the cost of implementing the compressor system optimization.

Abstract: A method includes: designing an orthogonal design table of four factors and three levels, and obtaining nine groups of structural parameters; performing a numerical simulation calculation through a finite element software to obtain nine groups of simulation results, and recording in the orthogonal design table; determining a first design parameter based on the vertical bearing performance according to the nine groups of simulation results; determining a second design parameter based on economic efficiency; and determining a design parameter according to the first design parameter and the second design parameter, and designing the squeezed branch pile according to the design parameter.

Abstract: Methods, systems and computer readable medium for object detection coverage estimation are provided. The system for object detection coverage estimation includes a camera and a processing means. The processing means is coupled to the camera to receive image data acquired by the camera, the image data including a detected object. The processing means is configured to determine a spatial coverage of the detected object based on detected object metadata associated with the detected object in the image data received from the camera.

Abstract: A processor may analyze a target area. The processor may identify, from the analyzing, one or more objects in the target area. The processor may evaluate each of the one or more objects in the target area. Evaluating each of the one or more objects may include measuring each of the one or more objects and determining a purpose for each of the one or more objects. The processor may generate, based on the evaluating, a placement for each of the one or more objects.

Abstract: A bracket system for orthodontic appliances including a bracket combinatorial library having a plurality of brackets each interchangeably fixedly mountable to each of a plurality of teeth within a dentition group in a dental arch, whereby the plurality of brackets can be configured to provide incremental variation in tipping force moments, in-out force moments, and torqueing force moments over the entire useful range of orthodontic mechanics, allowing an orthodontic practitioner to prescribe a combination of tipping force moments, in-out force moments, and torqueing force moments unique for each tooth in relation to the plurality of teeth of a patient.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for simulating heat transfer in additive manufacturing. Implementations disclosed herein convert a model of an object into a node representation of the object, and generate an adjacency matrix of the object based on the node representation. For each layer of nodes in the node representation, implementations apply a simulated heat to the layer of nodes, and estimating a diffusion of heat to other nodes based on the adjacency matrix. Implementations generate a representation of an estimated heat distribution within the object.

Abstract: An apparatus has a device representing an endoscope, the device being either an endoscope or a dummy endoscope having shape and feel resembling an endoscope, and includes a tracker adapted to operate with a three-dimensional tracking system to track location and orientation of the device in three dimensions in a simulated operating-room environment. The apparatus also has a physical head model comprising hard and soft components, the device representing an endoscope configured to be inserted into the physical head model to provide a haptic feedback of endoscopic surgery.

Abstract: A method for analyzing debris bed formation based on a multi-resolution multiphase particle algorithm, which uses the least-squares moving particle semi-implicit method with second-order computational accuracy and improves surface tension model and free surface particle identification model. The method also utilizes a particle-based gas-liquid phase transition model and a particle-based liquid-solid phase transition model with multi-resolution features, such that the coolant vaporization and melt solidification processes during the falling process of the melt can be calculated. Moreover, a solid-solid collision model is coupled to calculate the collision and debris bed deformation during the falling process of the debris particles. In this way, the momentum exchange, energy transfer and phase transition between different phases are taken into account, and the computational instability caused by the large physical difference between phases is mitigated.

Abstract: A method and apparatus for creating a scenario for an autonomous driving simulation. The method includes setting, based on a first user input, a location of a first target object at each of a first plurality time points on a map for a simulation scenario, the first plurality of time points comprising a first time point and a third time point; and defining, based on a second user input, an action of a second target object that is different from the first target object in relation to at least one of the set locations of the first target object.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that facilitate artificial intelligence (AI)-assisted curation of non-pharmaceutical intervention (NPI) data from heterogeneous data sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component and a change detection component. The extraction component can extract candidate non-pharmaceutical intervention (NPI) events from data associated with a defined disease. The change detection component can evaluate the candidate NPI events for inclusion in a dataset storing NPI events in a defined format.

Abstract: A method includes generating a workspace model having one or more robots and a plurality of image sensors, defining a plurality of pose scenarios of the one or more robots, and defining sensor characteristics of the plurality of image sensors. The method includes, for each of the plurality of pose scenarios, simulating a sensor operation of the plurality of image sensors within the workspace model based on the sensor characteristics and identifying an undetectable area within the workspace model based on the simulated sensor operation. The method includes performing a sensor placement control based on the undetectable areas associated with each of the plurality of pose scenarios.

Abstract: An online machine learning model such as an autonomous agent predicts an action. A processor associated with, or running, the online machine learning model observes an environment for an interval of time for a real reward associated with the action. Responsive to determining that the real reward is not received within the interval of time, the processor determines based on a criterion whether to allocate an immediate reward received within the interval of time to the online machine learning model, where the immediate reward is an approximation of the real reward. Responsive to determining that the immediate reward is to be allocated, the processor allocates the immediate reward to the online machine learning model. The online machine learning model further learns or retrains itself based on the immediate reward.

Abstract: Systems and methods are disclosed herein for syntonizing machines in a network. A coordinator accesses probe records for probes transmitted at different times between pairs of machines in the mesh network. For different pairs of machines, the coordinator estimates the drift between the pair of machines based on the transit times of probes transmitted between the pair of machines as indicated by the probe records. For different loops of at least three machines in the mesh network, the coordinator calculates a loop drift error based on a sum of the estimated drifts between pairs of machines around the loop and adjusts the estimated absolute drifts of the machines based on the loop drift errors. Here, the absolute drift is defined relative to a drift of a reference machine.

Abstract: A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.

Abstract: Some embodiments comprise integrating information from a social network into a multi-tenant database system. A plurality of information from the social network is retrieved, using a processor and a network interface of a server computer in the multi-tenant database system, wherein the plurality of information is associated with a message transmitted using the social network. Metadata related to the transmitted message is generated, using the processor. A conversation object is generated, using the processor, based on the plurality of information associated with the transmitted message and the metadata related to the transmitted message. The conversation object is then stored in an entity in the multi-tenant database system, using the processor of the server computer.

Abstract: Systems, devices, and methods are provided for performing compound operations on a security module. In some embodiments, a hardware security module (HSM) comprises executable code that, as a result of execution by one or more processors of the HSM, causes the HSM to obtain a request to perform a compound operation, parse the compound operation to determine a sequence of operations, perform the sequence of operations within a protected execution environment, wherein one or more intermediate results of the sequence of operations are programmatically unexportable from the protected execution environment, determine, based on complete execution of the sequence of operations, an output, and export the final output from the protected execution environment, thereby making it available to external devices.

Abstract: An arena test system for characterizing fragments from a warhead. An entry panel and an exit panel are arranged in a wedge configuration with a wedge-shaped air space between them. Fragments are imaged as they pass through this wedge. A soft catch box is located behind the exit panel such that fragments that pass through the exit panel enter the soft catch box and are decelerated within the soft catch box.

Abstract: Techniques associated with detecting non-deterministic behavior with a component and/or subcomponents of an autonomous vehicle are discussed herein. In some cases, a simulation system may be configured to simulate operations of the autonomous vehicle and to detect changes in behavior between instances and with respect to log data or expected results. The simulation system may flag or otherwise identify components and/or subcomponents responsive to detecting potentially non-deterministic behavior.

Abstract: Methods and systems (100) for modeling operations of a physical plant (110) are presented. For instance, a system (100) includes at least a first component (111) and a second component (112). The first and second components (111), (112) have at least one physical connection (130a). First and second model operational parameters of the physical connection are received from first and second models 121, 122, respectively. The first and second models (121), (122) are updated with the second and first model operational parameters, respectively. In one example, the first and second models (121), (122) run on different computer systems. In another example, real-time operational data is received from the first and second components (111), (112), and the first and second models (121), (122) are updated with the real-time operational data received from the second and first components, respectively. In a further example, the system (100) may receive and process simulation input.

Abstract: Embodiments of a system for simulating a radio frequency (RF) scene associated with a moving maritime surface are generally described herein. An RF scene is generated using an RF scene generation model and a moving maritime surface is generated using a maritime surface model. The RF scene is integrated with the moving maritime surface model. The RF scene generation model is configured to apply a radar model to generate and update the RF scene based on simulated radar returns at a radar pulse repetition frequency (PRF) and the maritime surface model is configured to update the moving maritime surface at a maritime surface update rate, access previous and current maritime surfaces, and interpolate surface facet properties to pulse times of the radar model. The maritime surface model is configured to update the moving maritime surface once every subdwell.

Abstract: Systems, methods, and computer program products can be used for determining the amount of oil removed by a miscible gas flood. One of the methods includes identifying locations of oil within a volume representing a reservoir rock sample. The method includes identifying locations of gas within the volume. The method also includes determining the amount of oil removed based on locations within the volume where oil is either coincident with the gas or is connected to the gas by a continuous oil path.

Abstract: The present document describes techniques associated with a textile-material model for vibroacoustic structural simulation. The techniques described herein provide a nontrivial methodology to test a textile and simplify its representation, which can enable prediction of acoustic performance (e.g., rub and buzz) of an electronic-speaker device having a textile mounted thereon. The textile is modeled as a textile-material model based on an elongation stiffness obtained from a time-temperature superposition curve of the textile, which is based on a dynamic mechanical analysis test of the textile in each of course and wale directions. The textile-material model is then applied to an assembly model of the electronic-speaker device to simulate a vibroacoustic response of the textile relative to the assembly model to predict a likelihood of rub and buzz.

Abstract: A working vehicle includes a vehicle body capable of traveling, a ground working device attached to the vehicle body to perform ground working, an imaging device located on the vehicle body to image a ground working result after the ground working by the ground working device, and a storage to store a ground working image representing the ground working result taken by the imaging device.

Abstract: A method for configuring a semiconductor manufacturing process, the method including: providing an initial prediction model including a plurality of model parameters to one or more remote locations; receiving at least one updated model parameter from the one or more remote locations, the at least one model parameter is updated by training the initial prediction model with local data at the one or more remote locations; determining aggregated model parameters based on the at least one updated model parameter received from the one or more remote locations; and adjusting the initial prediction model based on the aggregated model parameters, the adjusted prediction model being operable to configure the semiconductor manufacturing process.