Abstract: A system and method that identifies delayed infusion programs at an infusion pump or with a first computer and an infusion pump. The first computer receives an infusion auto-program from a remote source, transmits the infusion auto-program to the infusion pump, and sends a stale auto-program to the infusion pump. The infusion pump receives a manual infusion program, saves and executes the manual infusion program, and compares the stale auto-program to the manual infusion program to identify potential matches between the stale auto-program and the manual infusion program. The infusion pump evaluates the potential matches and determines if the potential matches are within a predefined tolerance, continues to execute the at least one manual infusion program on the infusion pump if the potential matches are within the predefined tolerance, and remotely saves differences in the manual infusion program and the at stale auto-program in a remote server for later analysis.

Abstract: A device adjustment instrument is provided with a storage unit for storing standard test piece data corresponding to each of a plurality of standard test pieces which can be manufactured by additive manufacturing devices and a standard parameter set for when the standard test pieces are manufactured, a selection unit for selecting standard test piece data that match modeling specification data of a specified object from a plurality of standard test piece data on the basis of the modeling specification data, and an adjustment unit for generating a modeling parameter set for adjusting an operating condition of the additive manufacturing devices on the basis of the selected standard test piece data and the test modeling result data manufactured by the additive manufacturing devices using the standard parameter set corresponding to the standard test piece data.

Abstract: A system for controlling a plurality of drug libraries includes a computing device on which is stored a master drug library, the master drug library comprising a plurality of drug definitions. The system also includes a plurality of programmable patient devices coupled to the server, each patient device having an individual drug library stored thereon, the individual drug library comprising a reference only to at least one of the drug definitions in the master drug library. In addition, a method for controlling a plurality of drug libraries includes storing on a computing device a master drug library, the master drug library comprising a plurality of drug definitions. The method also includes storing on each of a plurality of programmable patient devices an individual drug library, the individual drug library comprising a reference only to at least one of the drug definitions in the master drug library.

Abstract: This disclosure describes systems, methods, and apparatus for a plasma processing system. A method comprises receiving a reference signal defining target values for a parameter that is controlled at an output within the plasma processing system, obtaining a measure of the parameter that is controlled at the output, and calculating a delay between the target values of the setpoint signal and corresponding actual parameter values achieved at the output. The method also comprises providing, based upon the delay, a time-shifted amplitude error indicative of an error between the target values and the actual parameter values and adjusting at least one actuator, based upon the delay and the time-shifted amplitude error, in advance of when an actual parameter value is desired at an actuator output of the at least one actuator while maintaining the output within a threshold range.

Abstract: In an example implementation, a method of compensating for dimensional variation in 3D printing includes receiving a voxel space model that represents a 3D object to be printed within a build volume of a 3D printing system, asymmetrically eroding voxels from the voxel space model, and printing the 3D object based on the asymmetrically eroded voxel space model.

Abstract: The invention relates to a computer-implemented method for assessing a clearance between a tooth element to be provided with a dental restoration element and an antagonist of the tooth element. A 3D digital teeth model with 3D digital representations of the tooth element and of a surface area of the antagonist is received. The surface area is offset from the antagonist by adding an offset. The resulting offset surface area defines a limit for the tooth element. For the clearance it is checked, whether the tooth element violates one or more penetration criteria regarding the offset surface area. If the tooth element violates the one or more penetration criteria, the clearance is assessed to be insufficient for the tooth element to be provided with the dental restoration element. Else the clearance is assessed to be sufficient. The result of the assessment is output.

Abstract: A method and system are provided for manufacturing a physical dental model. A virtual model is provided representative of at least a portion of the intra-oral cavity including at least one dental implant implanted therein, and the virtual model includes a virtual portion representative of each dental implant. The virtual spatial disposition of each such virtual portion is determined with respect to the virtual model, corresponding to a real spatial disposition of the respective implant with respect to the intra oral cavity. A physical model is then manufactured based on the virtual model, the physical model including a physical analog corresponding to each implant at a respective physical spatial disposition with respect to the physical model corresponding to the respective virtual spatial disposition of the respective virtual portion with respect to the first virtual model as already determined.

Abstract: A model predictive controller for a performing stateless prediction. Using dosed form algebraic expressions for the step test in a dynamic matrix eliminates the requirement for individual calculation on each element. With both the dynamic matrix and the vector of predicted errors written in terms of discrete algebraic equations, the control law is written as a function of the current state of the system. The control law is then be reduced to its minimal form, which leaves the next control action to be a function of the system parameters, the past errors, and the past control actions. Since the system parameters are constant, this controller is then be reduced into a single discrete equation. This greatly reduces the computations required in each control loop iteration.

Abstract: In an embodiment, a method comprises: obtaining input data including a plurality of parameters related to an energy system design; reducing the input data to a subset of the input data; in a first stage: feeding the subset of input data into a reduced version of a model for estimating an energy system configuration; estimating, using the reduced version of the model, a first energy system configuration and a lower bound solution for the first energy system configuration based on the subset of input data; and in a second stage following the first stage: feeding the input data and the lower bound solution into a full version of the model; and estimating, using the full version of the model, a second energy system configuration based on the input data and the lower bound solution.

Abstract: A system for performing projective tests includes a web server, a database server, and an artificial intelligence (AI) server. The web server is coupled with an electronic data network and configured to provide a man-machine interface via the electronic data network to a remote client. The database server manages test and training data and is coupled with the web server. The AI server is coupled with the web server and the database server, and configured to execute one or more AI algorithms. The man-machine interface provides administrative tools to control a content of at least one projective test where the content may include at least one projective stimulus comprising at least one of an image, a video, an audio file, and a text file. The man-machine interface provides administrative tools that control a display associated with the projective test.

Abstract: A modular wire processing center comprises a plurality of individual processing modules that are controlled by a central control unit. The plurality of processing modules includes an automatic crimper and at least two further processing modules selected from the group of an automatic cutter, a marking system, a stripping unit, a terminal feeding device, a wire feeding unit and a wire discharging/bundling unit. The processing modules are designed as independently operable individual processing units and are positioned with the control unit on a mobile platform.

Abstract: A method of controlling a pumping sequence of a fracturing fleet at a wellsite. A managing application executing on a computer in the control van can retrieve the pumping sequence from a local or remote storage computer. The managing application can establish an electronic communication link to receive sensor data from a plurality of fracturing units. The managing application can control the plurality of fracturing units with a stage script with multiple sequential instructions for a pumping stage of a pumping sequence while receiving one or more periodic data sets from the plurality of fracturing units wherein the data sets are indicative of the current state of the pumping stage of the pumping sequence.

Abstract: Embodiments of gas concentrating systems and methods are provided. These systems and methods comprise configuration of hardware and software components to monitor various sensors associated the systems and methods of concentrating gas as described herein. These hardware and software components are further configured to utilize information obtained from sensors throughout the system to perform certain data analysis tasks. Through analysis, the system may, for example, calculate a time to failure for one or more system components, generate alarms to warn a user of pending component failure, modify system settings to improve functionality in differing environmental conditions, modify system operation to conserve energy, and/or determine optimal setting configurations based on sensor feedback.

Abstract: A simulated environment includes a motion control system. The motion control system comprises a suspension structure, a housing slidably engaged to the suspension structure such that the suspension controller translates in a planar manner relative to the suspension structure. A rotary component is rotatably attached to the housing. A plurality of winches are attached to the rotary component, the plurality of winches having cables to allow longitudinal movement of the cables parallel to a force of gravity.

Abstract: A calibration tool for a coffee grinder can receive an image from a camera. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.

Abstract: A system and method for manufacturing a component is provided that includes a CNC machine tool, a correction module, and a system controller. The CMM module is controllable to determine a set of multi-axis coordinates surface points on the component. The correction module is in communication with the CMM module and stored reference inspection data. The system controller is in communication with the CNC machine tool, the correction module, and stored instructions. The instructions when executed cause the system controller to: a) control the CNC machine tool to modify a surface of the component; b) control the CMM module to determine multi-axis coordinates for surface points; c) determine surface position variances using the reference inspection data and the multi-axis coordinates; d) determine if surface position variances exceed a threshold; and e) create correction action instructions for controlling the CNC machine if surface position variances exceed the threshold.

Abstract: A heat pump system includes a refrigerant circuit in which a compressor, a refrigerant flow path included in a heat medium heat exchanger, an expansion valve, and a heat source side heat exchanger are connected, the heat medium heat exchanger including the refrigerant flow path and a heat medium flow path; a heat medium feed path connected to the heat medium flow path included in the heat medium heat exchanger; an indoor unit connected to the heat medium feed path and configured to condition air inside a room; a room temperature sensor configured to detect an indoor temperature in the room; a heat medium temperature sensor configured to detect a temperature of a heat medium that flows into the indoor unit; and a controller configured to control the refrigerant circuit or the indoor unit by using a set temperature in the room.

Abstract: Embodiments of the present disclosure provide a datum selection method for minimizing hole position errors in group hole machining of large components, comprising: 1) determining a type of a computer numerical control (CNC) machine tool and establishing a topological structure of the CNC machine tool; 2) establishing a theoretical postural model of a tool center point during a motion; 3) establishing a hole position error model; 4) establishing an average error model of hole positions in group hole machining; and 5) obtaining a machining datum for group holes of corresponding components. For the skeleton and skinned group hole machining of aircraft components, different principles of datum selection are provided respectively, which can effectively improve the positional accuracy of the skeleton or skinned group hole machining, at the same time provides a more scientific and reasonable approach for the datum selection in group hole machining of large components.

Abstract: Technologies for providing predictive thermal management include a compute device. The compute device includes a compute engine and an execution assistant device to assist the compute engine in the execution of a workload.

Abstract: Distributed artificial intelligence (AI) can be used to monitor a wellbore operation in some examples described herein. In one such example, physical equipment can be positioned at a surface of a wellsite to support a drilling operation at the wellsite. Each piece of physical equipment may include a sensor module, a processor communicatively coupled to the sensor module, and a memory. The memory can include an AI module configured to determine a condition associated with the equipment by analyzing sensor data from the sensor module using one or more machine-learning models. The memory additionally can include a warning module for causing the processor to output a warning notification based on the condition. The memory further can include a communications module for causing the processor to transmit a communication indicating the condition to a destination via a network. The communication may be different from the warning notification.