Abstract: A data processing device comprises a division unit that divides a target period into a plurality of operating periods according to an operating condition; an identification unit that identifies a standard condition for each operating period; a calculation unit that divides each operating period into a plurality of constant performance periods in each of which the performance of a target device is considered to be constant, narrows down time series data for each constant performance period on the basis of the standard condition, and calculates a certain representative value on the basis of the time series data extracted through the narrowing down; and a correction unit that sets an overlapping period containing a boundary between two adjacent operating periods, narrows down, on the basis of each standard condition identified for each of the two operating periods, time series data in the overlapping period for each standard condition.

Abstract: Technologies are provided for identification of closed-loop gain response and compensation of power supply devices. In an aspect, a computing device can receive data indicative of a transient output voltage of a power supply device. The computing device also can determine frequency-domain loop response of a control loop of the power supply device by applying a machine-learned model to the data indicative of the transient output voltage. In addition, or in other aspects, the computing device also can adjust one or multiple compensation component(s) of the power supply device in order to achieve a satisfactory performance during operation of the power supply device.

Abstract: A method of generating an outcome for a sporting event is disclosed herein. A computing system retrieves tracking data from a data store. The computing system generates a predictive model using a deep neural network. The one or more neural networks of the deep neural network generates one or more embeddings comprising team-specific information and agent-specific information based on the tracking data. The computing system selects, from the tracking data, one or more features related to a current context of the sporting event. The computing system learns, by the deep neural network, one or more likely outcomes of one or more sporting events. The computing system receives a pre-match lineup for the sporting event. The computing system generates, via the predictive model, a likely outcome of the sporting event based on historical information of each agent for the home team, each agent for the away team, and team-specific features.

Abstract: A process-management system and a process-management method are provided. The process-management system includes a process-planning module, a process-management module, and a process-executing module. The process-planning module stores a preset workflow and is configured to receive a first input instruction and a second input instruction. The process-planning module provides the preset workflow according to the first input instruction, and adjusts the preset workflow according to the second input instruction to generate a customized workflow. The process-management module is electrically connected to the process-planning module and is configured to generate a work instruction according to the preset workflow or the customized workflow. The process-executing module is electrically connected to the process-management module and configured to process a workpiece according to the work instruction.

Abstract: A monitoring and control system for surface equipment used in industrial services is disclosed. The monitoring and control system may include one or more sensors configured to collect sensor data from the surface equipment, and one or more control devices configured to control one or more operations of the surface equipment. The monitoring and control system may include a data acquisition and control apparatus coupled with the one or more sensors and the one or more control devices. The data acquisition and control apparatus may be configured to receive the sensor data from the one or more sensors and transmit control information to the one or more control devices.

Abstract: A power system includes: power converters configured to acquire an electrical characteristic value of input power or power to output, control a power conversion characteristic of an output of power based on a reference function in which an electrical characteristic value of an output of power is defined according to an input value by using the acquired electrical characteristic value as an input value, and update a stored reference function to the acquired reference function; a controller configured to set a reference function and output the set reference function to the power converters; and a DC electric line to which the plurality of power converters is connected. The controller is configured to calculate a voltage drop in the electric line from a power target value of an output and a line impedance of the electric line, and set the reference function based on the calculated voltage drop.

Abstract: A system for monitoring one or more conditions of an automation system of a semiconductor factory includes one or more instrumented substrates, one or more sealable containers and one or more system servers. The one or more instrumented substrates include one or more sensors. The one or more sensors measure one or more conditions of the one or more instrumented substrates as the one or more sealable containers transport the one or more instrumented substrates through the semiconductor factory. The one or more sealable containers also receive sensor data from the one or more sensors included on the one or more instrumented substrates. The one or more system servers are configured to receive the sensor data from the one or more sealable containers. The one or more servers are configured to identify one or more deviations in the measured one or more conditions.

Abstract: Methods, system and apparatus for the controlling laundry machines in a laundry facility. A user device receives a list of machines for a laundry facility and displays them on a machine control user interface. The user may then make a selection of a machine, a selection of an operation type and a selection of one or more operational parameters associated with the selected operation type. The selection of the operation type and the one or more operational parameters may be made on the user device or on the selected machine. The machine control user interface may then display the user selections, an estimated duration and a cost. The estimated duration and cost may be based on the selected machine, selected operation type and the one or more selected operational parameters.

Abstract: A method of operating a power plant is provided. The method includes generating, with one or more power generators, a total plant power. The method further includes providing a first portion of the total plant power to one or more auxiliary devices to meet an auxiliary demand. The auxiliary demand being generated through operation of the one or more auxiliary devices. The one or more auxiliary devices being one of thermally, fluidly, or mechanically coupled to the one or more power generators. The method further includes providing a second portion of the total plant power to a flexible firm skid disposed within the power plant to meet a flexible firm demand. The method further includes providing a third portion of the total plant power to a power grid outside of the power plant to meet a grid demand.

Abstract: A portable 3D printer filament extruder for kids includes a chamber, a nozzle, a heating element and a pump. The chamber has a space configured to store raw materials. The nozzle is connected with the chamber. The nozzle has an opening communicated with the space. The heating element is disposed on the chamber and configured to heat up the raw materials in the space. The pump is connected with the chamber and configured to provide pressure to the space to extrude the heated raw materials out of the chamber through the opening in a form of filament.

Abstract: Assembly-level properties defined by a manufactured product's assembly tree analyzed as trigger predicates to assist identification (i.e., selection and/or preparation) of inspection requirements for the manufactured product. Particular emphasis is placed on hierarchical relationships—assembly identification, effects of manufacturing on the visibility/accessibility of an assembly to inspection, and using assembly-level semantics to trigger inspection requirements. The identified inspection requirements are optionally open (semantic) or closed. In some embodiments, identified inspection requirements are provided to an automatic inspection planning system configured to generate an inspection plan, the actions of which said plan fulfill the inspection requirements.

Abstract: Processing of robotics log data may be performed onboard the robotics itself and log data may be converted to a form that is more suitable for parallel processing. In one aspect, robotics log data may include multiple channels. These channels are received and are used to generate data packages referred to as shards. Each shard is associated with a time window. For example, each shard may contain the robotics log data from all channels for the relevant time window. Additional data, such as an index and metadata, may be included with the shards so that each shard may be processed independently. Each shard is independently consumable and, as a result, the shards may be processed in parallel to accomplish some task. Furthermore, the creation of shards and the subsequent processing of shards may occur onboard the robotics itself.

Abstract: This disclosure generally relates to systems and methods for monitoring and recording weather event impacts on structures. A weather evaluation system can include onsite devices installed at structure locations that leverage various sensor integrations and/or AI models to permit precise, localized weather monitoring at the structures. The sensor integrations and/or AI models utilized by the onsite devices can facilitate the detection and documentation of weather damage on structures, such as damage caused by hail, high-speed winds, or the like.

Abstract: A power system includes: power converters configured to acquire an electrical characteristic value of input power or power to output, control a power conversion characteristic of an output of power based on a reference function in which an electrical characteristic value of an output of power is defined according to an input value by using the acquired electrical characteristic value as an input value, and update a stored reference function to the acquired reference function; a controller configured to set a reference function and output the set reference function to the power converters; and a DC electric line to which the plurality of power converters is connected. The controller is configured to calculate a voltage drop in the electric line from a power target value of an output and a line impedance of the electric line, and set the reference function based on the calculated voltage drop.

Abstract: A milk extracting system and computer-implemented method of adjusting the vacuum pressures applied respectively at different teat cups for milking the teats of an animal during a milk extraction procedure, where a teat-specific milk flow value is determined for each individual teat during the milk extraction, based on measurements received from respective milk flow meters, each determined teat specific milk flow value is compared with a first threshold limit, and when a determination is made that all of the teat specific milk flow values exceed the first threshold limit the vacuum pressure at each teat cup is adjusted to a high flow vacuum pressure level.

Abstract: A method for producing a machine component from a workpiece includes registering a dimension of a surface of the workpiece to be machined and a margin of tolerance of the dimension, generating a signature pattern for the surface to be machined, shaping the workpiece at least on the surface to be machined, where a signature pattern is simultaneously produced during the shaping, and producing a check code on the workpiece, where the signature pattern has maximum dimensions that are within the tolerance margin.

Abstract: A component mounting system includes an execution procedure determination section for determining an execution procedure of multiple mounting jobs, and a job switching section for switching the mounting jobs. The job switching section holds, in the attachment target section, a feeder accommodating a component common to a component used in the subsequent mounting job among components used in the previous mounting job when the previous and subsequent successive mounting jobs in the execution procedure are switched, and mounts, on an empty attachment target section among the multiple attachment target sections, a feeder accommodating a component not common to a component used in the previous mounting job among components used in the subsequent mounting job.

Abstract: Methods, apparatuses, and computer program products are disclosed for monitoring chiller efficiency degradation. An example method receives a first data set comprising chiller operations data and chiller efficiency data over a first time interval. The method receives a second data set comprising chiller operations data and chiller efficiency data over a second time interval. The method generates, with the machine learning model, a data prediction based upon the first data set and the chiller operations data of the second data set, wherein the data prediction comprises expected chiller efficiency data over the second time interval. The method determines a chiller efficiency degradation level based on a difference between the data prediction and the chiller efficiency data of the second data set.

Abstract: Automation controller and method for operating the automation controller, wherein the automation controller includes Ethernet channels to which network interfaces can be assigned via a first register with a first register value and a second register with a second register value, where the assignments are made and these are examined for variances via test values.

Abstract: Generating a digital representation of a process automation system on a cloud-based service platform uses assets integrated into measurement points. The method includes reading TAG information using an edge device, wherein the TAG information is provided in a character chain data type and represents the hierarchical structure of the respective asset. The method also includes transmitting the TAG information to the cloud-based service platform, and parsing the TAG information using an application, wherein a logic is used for the parsing process, and the name of the asset and the name of the measurement point in which the respective asset is integrated are extracted from the TAG information. A structure plan of the system is generated using the application having all of the system measurement points extracted from the TAG information together with all of the assets which are assigned to the measurement points and are extracted from the TAG information.