Abstract: An electronic device manufacturing system configured to receive, by a processor, input data reflecting a feature related to a manufacturing process of a substrate. The manufacturing system is further configured to generate a characteristic sequence defining a relationship between at least two manufacturing parameters, and determine a relationship between one or more variables related to the feature and the characteristic sequence. The manufacturing system is further configured to determine a weight based on the determined relationship and apply the weight to the feature. The manufacturing system is further configured to train a machine-learning model in view of the weighted feature.

Abstract: In an example, a method includes obtaining a compensation model characterising a relationship between a location of an object within a fabrication chamber of an additive manufacturing apparatus and a geometrical compensation to be applied to a model of said object, wherein different geometrical compensation values are associated with different locations. In some examples the method further includes determining a magnitude of a dimension parameter of each object of a set of objects to be generated in a build operation. The method may include determining a spatial arrangement of objects to be generated within the build volume, based on the magnitude of the dimension parameters and the geometrical compensation values for an intended location of object generation in the spatial arrangement.

Abstract: A balance and runout amount adjustment system for a rotary tool includes a rotary tool constituted of a tool holder mounted on a spindle, a balance determining device configured to obtain outer circumference position data of the rotary tool and to determine a mass balance of the rotary tool based on the outer circumference position data obtained, in the course of rotation of the rotary tool and a runout determining device configured to obtain shape data of the rotary tool and to determine a runout amount of the rotary tool based on the shape data obtained, in the course of rotation of the rotary tool. The rotary tool is configured to be capable of adjustment of the mass balance based on the result of the determination made by the balance determining device and capable also of adjustment of the runout amount based on the result of the determination made by the runout determining device.

Abstract: An apparatus comprising a controller. The controller includes an input/output (I/O) module and a rule module. The I/O module is configured to present a question for a patient when communicatively coupled to a user interface and receive patient information in response to the question via the user interface. The rule module is configured to apply a rule to the patient information and generate a suggested insulin pump setting from application of the rule. Other devices, systems, and methods are disclosed.

Abstract: A method for aligning a workpiece in a working space of a machine tool having a numerical control system uses a probe. 3D models of the working space, probe, and workpiece are virtually displayed. The workpiece is positioned in the working space and the virtual workpiece is positioned in the virtual working space so that there is an initial coincidence between positions thereof. The probe is manually positioned relative to the workpiece, wherein a planned probing point and probing direction are selected based on a minimum distance of the virtual probe from the virtual workpiece, and are displayed. Enabling of the probing is based on quality of the planned probing point, and, when enabled, a probing operation is triggered, and coordinates of a probing point are determined. The position of the workpiece is recalculated using these coordinates, and the position of the virtual workpiece is updated.

Abstract: A flow rate control apparatus with improved reliability is provided. The flow rate control apparatus comprises a flow rate measuring unit for measuring a flow rate of chemical solution in a chemical solution supply line, a flow rate control unit for comparing a preset target flow rate profile and an applied flow rate profile, and controlling the flow rate of the chemical solution so that the applied flow rate profile matches the target flow rate profile, and a processor for switching the flow rate control unit to a first mode in response to a signal for the flow rate of the chemical solution measured by the flow rate measuring unit being less than a preset level, wherein, in the first mode, the applied flow rate profile includes a profile of a flow rate estimation model simulated using a flow rate of chemical solution measured by the flow rate measuring unit.

Abstract: Provided is a technique that enables simulation of an assembly in which unprepared components are combined. A simulation system includes a storage that stores data for use in a simulation, and a controller that executes the simulation. The controller receives an operation input for registration of a first component and a second component, receives an operation input for setting of an operation of an assembly including the first and second components, generates a program to operate the assembly on the basis of information on operations of the assembly, the first component, and the second component, and stores the program and the information on the operations of the assembly, the first component, and the second component in the storage as the data tor use in the simulation.

Abstract: A method of manufacturing a structural object includes: receiving a data set including workpiece three-dimensional measurement data and first specific information of first identifier three-dimensional measurement data associated with the workpiece three-dimensional measurement data; acquiring second identifier three-dimensional measurement data by measuring a three-dimensional shape of the identifier; reading out the workpiece three-dimensional measurement data from the data set including the first specific information that coincides with second specific information of the second identifier three-dimensional measurement data; and determining a machining plan based on the read workpiece three-dimensional measurement data.

Abstract: Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.

Abstract: In a method for cooling a semiconductor, a time profile of a load of the semiconductor is determined over a predefinable period of time. A cooling apparatus for cooling the semiconductor is controlled or regulated depending on a load cycle of the semiconductor resulting from the determined time profile of the load, and the cooling apparatus is controlled or regulated as a function of the load averaged over the predefinable period of time.

Abstract: A balance and runout amount adjustment system for a rotary tool includes a rotary tool constituted of a tool holder mounted on a spindle, a balance determining device configured to obtain outer circumference position data of the rotary tool and to determine a mass balance of the rotary tool based on the outer circumference position data obtained, in the course of rotation of the rotary tool and a runout determining device configured to obtain shape data of the rotary tool and to determine a runout amount of the rotary tool based on the shape data obtained, in the course of rotation of the rotary tool. The rotary tool is configured to be capable of adjustment of the mass balance based on the result of the determination made by the balance determining device and capable also of adjustment of the runout amount based on the result of the determination made by the runout determining device.

Abstract: The current document is directed to methods and systems that migrate traditional control systems used to manage and administer physical infrastructure, including retail establishments, warehouses, manufacturing facilities, offices, hospitals and medical clinics, and other physical infrastructure, to cloud-computing facilities. The approach to controlling physical infrastructure disclosed in the current document is not simply an extension of traditional control systems to access and use cloud-computing facilities, but instead represents the migration of physical infrastructure into cloud-computing facilities, resulting in elimination of the need for local computers and computer-implemented control systems from the physical infrastructure and a complete abstraction and virtualization of the hardware systems within the physical infrastructure.

Abstract: A computer-implemented method for generating and evaluating robotic workcell solutions includes: determining a plurality of locations within a workcell volume, wherein each location corresponds to a possible workcell solution; for each location included in the plurality of locations, determining a value for a first robot-motion attribute for a first robot based on position information associated with the location and a trajectory associated with a component of the first robot; and, for each location included in the plurality of locations, computing a first value for a first performance metric based on the value for the first robot-motion attribute.

Abstract: A computerized method of machining a workpiece including, prior to machining the workpiece, establishing, based on empirical data obtained from machining activity at an earlier time, an historical mapping indicating pairings of depth of cut and rpm at which undesirable chatter (UDC) did not occur during machining activity at an earlier time using at least one given type of milling machine, at least one given type of cutting tool and at least one given type of workpiece material, prior to commencing machining of the workpiece, programming a machine tool to machine the workpiece using a given type of milling machine, a given type of cutting tool and a given type of workpiece material at at least one depth of cut and rpm, which, based on the historical mapping, avoid UDC and operating the machine tool in accordance with the programming to machine the workpiece.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to access a 3D model of a 3D object to be fabricated and apply a deformation model to the 3D model. In some examples, the processor may generate a modified 3D model that compensates for a determined deformation of the 3D object during a sintering process for the 3D object. In some examples, the deformation model may include a densification component associated with a density of the 3D object and a deformation component associated with mechanical loads on the 3D object. The densification component may have initial state values associated with the density of the 3D object during the sintering process.

Abstract: A low toughness workpiece cutting apparatus, a low toughness workpiece manufacturing method and a low toughness workpiece manufacturing program for predicting an occurrence of defect and/or non-occurrence of defect before a cutting process of low toughness material. A defect prediction device is provided with a storage device, a processor and an interface. The storage device stores tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece. The processor performs an analysis of deformation of the workpiece due to a cutting force and an analysis of fracture due to the deformation, and performs a prediction of an occurrence of defect and/or a non-occurrence of defect of the workpiece due to the cutting process.

Abstract: The techniques disclosed herein enable systems to integrate aging awareness into machine learning agents for management of control systems. To achieve this, the machine learning agent extracts a set of states and an aging model from the control system and derives an aging term from the aging model. Based on the states and the aging term, the machine learning agent determines a set of actions that are applied to the control system. Subsequently, the machine learning agent can extract a new set of states to analyze the efficacy of the set of actions. This is achieved through an optimality function that quantifies the success of the set of actions by calculating an optimality score. The calculation is based on both a current performance of the system and a future drift or degradation of system components. Through many iterations of the action set, the machine learning agent can optimize system operations.

Abstract: A defect detection and ranking system for a vehicle assembly line is provided. The system includes an image capture device that captures a plurality of images of a vehicle on the vehicle assembly line. The system also includes a defect detector that analyzes the plurality of captured images and, based on the analysis, detects a plurality of defects on the surface of the vehicle. Each of the plurality of defects has an associated x-y-z coordinate location, a defect type, and a defect severity. The system also includes a datastore containing a vehicle specification, for the vehicle on the vehicle assembly line, and a defect priority based on the vehicle specification. The system also includes a defect prioritization generator configured to: receive the plurality of defects from the defect detector, retrieve the vehicle specification and the defect priority, and apply the defect priority to the plurality of defects, and output a prioritized list of defects, wherein the prioritized list of defects.

Abstract: A method for exporting a three-dimensional dental design model based on a three-dimensional dental library model (4) from an augmented reality application (6) which is adapted to visualize an image of the dental library model (4) rendered by a virtual camera with a preliminary pose and scale in a photo (2) of a face of a patient taken by a camera under a viewing axis to the face of the patient, the photo (2) including a mouth opening showing at least part of the present situation of the patient's dentition.

Abstract: An example welding interface device, includes: a user interface device; a processor; and a machine readable storage device comprising machine readable instructions which, when executed by the processor, cause the processor to: determine, via the user interface device, information describing physical characteristics of a workpiece for a weld to be performed; based on the physical characteristics, determining at least one of a thermal characteristic of the workpiece, an electrical characteristic of the workpiece, or a chemical characteristic of the workpiece; determine a boundary condition associated with the workpiece based on the at least one of the thermal characteristic, the electrical characteristic, or the chemical characteristic; and output a welding process based on the boundary condition.