Abstract: In a material verification method, information of newly loaded materials in a production line is obtained. It is determined whether the information has been verified. If the information has not been verified, it is determined whether a tray supporting the newly loaded materials has been switched from use in producing a first product to use in producing a second product. If the tray supporting the newly loaded materials is not switched to use in producing the second product, the information of the newly loaded materials is presented to a user for material verification. A system for administering such method and a device applying the method are also disclosed.

Abstract: An optimization device includes: a plurality of search parts; and a controller that controls the plurality of search parts, wherein, each of the plurality of search parts includes a state holding part configured to hold each of values of a plurality of state variables included in an evaluation function representing an energy value, an energy calculation part configured to calculate a change value of the energy value generated in a case where any one of the values of the plurality of state variables is changed, and a transition controller configured to stochastically determine whether or not to accept a state transition by a relative relation between the change value of the energy value and thermal excitation energy, based on a set temperature value, the change value, and a random number value.

Abstract: Methods and apparatus for optimizing device power and efficiency based on host-controlled hints prior to low-power entry for PCI Express blocks and components. Data structures containing low-power state capability information mapping one or more fine-grained low-power states for each of at least one of an L0s, L1, L1.1, and L1.2 PCIe-defined low-power state are stored on a PCIe device coupled to a Host via a PCIe link. Messages are exchanged over the PCIe link between the Host and PCIe device to configure, using the low-power state capability information, blocks and/or components on the PCIe device to enter a fine-grained low-power state instead of an associated PCIe-defined low-power state mapped to the fine-grained low-power state when the PCIe device detects a power-change event or receives a command to enter the associated PCIe-defined low-power state. Sequences of power-level changes between multiple fine-grained low-power states may also be implemented.

Abstract: Example systems, apparatus, and methods receive audio information including a plurality of frames from a source device, wherein each frame of the plurality of frames includes one or more audio samples and a time stamp indicating when to play the one or more audio samples of the respective frame. In an example, the time stamp is updated for each of the plurality of frames using a time differential value determined between clock information received from the source device and clock information associated with the device. The updated time stamp is stored for each of the plurality of frames, and the audio information is output based on the plurality of frames and associated updated time stamps. A number of samples per frame to be output is adjusted based on a comparison between the updated time stamp for the frame and a predicted time value for play back of the frame.

Abstract: The embodiments of the disclosure relate a method for determining a state of a terminal device, a terminal device and an access network device. The method includes that: a terminal device receives configuration information from an access network device, the configuration information being configured to instruct the terminal device to enter an inactive state; and the terminal device determines whether to enter a power saving mode under the inactive state, a radio frequency module of the terminal device in the power saving mode being off. According to the method for determining a state of a terminal device, terminal device and access network device of the embodiments of the disclosure, the terminal device under the inactive state may enter the power saving mode, and power consumption of the terminal device is further reduced.

Abstract: An irrigation system for an area receives wide-area meteorological prediction data and sensors deployed within the area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a relationship between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on a local-area parameter for a future point in time based on current wide-area meteorological prediction data, and the calculated relationship. The area is then controlled based on the prediction.

Abstract: A power plant controlling method includes: receiving a beacon signal from a location beacon or a device information beacon, wherein the location beacon is mounted in a region of a power plant area requiring monitoring and controlling, the region including an employee circulation path, and the device information beacon is mounted at a device requiring identification; tracking a location of the beacon that transmitted the received beacon signal; and receiving information about devices within a radius set by a user based on the tracked location.

Abstract: An intelligent inspection device is disclosed. The intelligent inspection device comprising a sound collection collecting a first operation sound generated in a refrigerator and storing the collected first operating sound a reference sound set-up comparing the first operation sound stored in the sound collection with a preset normal sound of the refrigerator, learning a result of the comparison to set a reference sound, and setting a reference sound range based on the set reference sound and a processor collecting, through the sound collection, a second operation sound generated in the refrigerator after the reference sound range has been set, comparing the second operation sound with the reference sound range, and inspecting whether the refrigerator fails based on the result of the comparison.

Abstract: Described are new methods and systems for provisioning factory devices in enterprise network systems using specially configured Factory Device Provisioning (FDP) portals, FDP modules, which is used for supporting various operations of the FDP portals, and enterprise device management (EDM) modules. In some examples, an EDM module stores a device-information set (e.g., an asset tag), while an FDP module stores a device-location list and a device profile, corresponding to a certain factory device. An FDP portal allows a user, through a user interface provided by the DRP portal, to retrieve and review this information without directly interacting with the EDM module. The FDP portal then allows the user to initiate a device enrollment request for the factory device. The FDP module generates a device-configuring information, which is presented by the FDP portal and used for connecting the factory device to the enterprise network system.

Abstract: A system includes a computer numerical control (CNC) machining system configured to perform a machining operation to define a feature on a workpiece and a machine edge controller disposed external of the machining system and in communication with the CNC machine system. The machine edge controller is configured to perform a machining evaluation during the machining operation. In executing the machining evaluation, the machine edge controller is configured to acquire data indicative of characteristics of the CNC machining system during the machining operation and compare the data with one or more machining baseline parameters associated with the machining operation to determine an abnormal operation of the CNC machining system. The one or more machining baseline parameters define a nominal response of the CNC machining system for performing the machining operation.

Abstract: A method includes obtaining data associated with operation of an industrial process controller and identifying impacts of operational problems of the industrial process controller. The method also includes generating a graphical display for a user, where the graphical display presents one or more recommended actions to reduce or eliminate at least one of the impacts of at least one of the operational problems. The method further includes triggering at least one of the one or more recommended actions based on input from the user. The method could also include executing one or more analytic algorithms to process the obtained data and identify the operational problems of the industrial process controller. Each of the one or more analytic algorithms could be instantiated as a container, and multiple containers could be instantiated and executed as needed. Results of executing the one or more analytic algorithms could be transformed into a standard format.

Abstract: A plurality of evaluation functions and a machine learning result of each of the evaluation functions are output so that a relation between the evaluation function and the learning result can be ascertained. An output device includes: an output unit that outputs a plurality of evaluation functions used by a machine learning device that performs machine learning of parameters of components of a servo control device that controls a servo motor that drives an axis of a machine tool, a robot, or an industrial machine and a machine learning result of each of the evaluation functions; and an information acquisition unit that acquires the machine learning result from at least one of the servo control device and the machine learning device.

Abstract: A system for controlling an operation of a machine including a plurality of actuators assisting one or multiple tools to perform one or multiple tasks, in response to receiving an acoustic mixture of signals generated by the tool performing a task and by the plurality of actuators actuating the tool, submit the acoustic mixture of signals into a neural network trained to separate from the acoustic mixture a signal generated by the tool performing the task from signals generated by the actuators actuating the tool to extract the signal generated by the tool performing the task from the acoustic mixture of signals, analyze the extracted signal to produce a state of performance of the task, and execute a control action selected according to the state of performance of the task.

Abstract: Example systems, apparatus, and methods receive audio information including a plurality of frames from a source device, wherein each frame of the plurality of frames includes one or more audio samples and a time stamp indicating when to play the one or more audio samples of the respective frame. In an example, the time stamp is updated for each of the plurality of frames using a time differential value determined between clock information received from the source device and clock information associated with the device. The updated time stamp is stored for each of the plurality of frames, and the audio information is output based on the plurality of frames and associated updated time stamps. A number of samples per frame to be output is adjusted based on a comparison between the updated time stamp for the frame and a predicted time value for play back of the frame.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a transducer to transmit an acoustic input signal into a member of a device. Receiving a detection signal representing reverberations of the input signal traveling within the member from a receiver. Detecting a contact of the member with an object external to the member based on a change in the detection signal, where the change in the detection signal represents an alteration in the reverberations of the input signal caused by the contact of the member with the object. Determining a position along the member of a point of the contact of the member with the object based on the change in the detection signal.

Abstract: Wake-on-touch display screen devices and related methods are disclosed herein An example computing device includes a display screen, a first sensor to detect a presence of a user in an environment, a second sensor to detect a presence of an appendage of the user, and at least one processor to control a power state of the computing device based on first data generated by the first sensor and second data generated by the second sensor.

Abstract: Technologies for providing advanced management of power usage limits in a disaggregated architecture include a compute device. The compute device includes circuitry configured to execute operations associated with a workload in a disaggregated system. The circuitry is also configured to determine whether a present power usage of the compute device is within a predefined range of a power usage limit assigned to the compute device. Additionally, the circuitry is configured to send, to a device in the disaggregated system and in response to a determination that the present power usage of the present compute device is not within the predefined range of the power usage limit assigned to the present compute device, offer data indicative of an offer to reduce the power usage limit assigned to the present compute device to enable a second power utilization limit of another compute device in the disaggregated system to be increased.

Abstract: A system for optimizing a geothermal heating and cooling system operation comprises a drill rig and a processor. The drill rig is configured to construct a geothermal borehole according to operational parameters and deploy a coiled tubing or joint drill pipes enabled drill bit. The processor is configured to receive user specification of (i) one or input parameters and (ii) a first coefficient of performance (COP) of a heat pump for constructing the geothermal borehole. The processor is configured to apply a model to determine the set of operational parameters for constructing the first geothermal borehole. The processor is configured to collect, in real time during the construction, sensor data from sensors positioned on the drill bit, update the model according to the sensor data, update the operational parameters according to the updated model, and control the construction of the first geothermal borehole according to the updated operational parameters.

Abstract: A hardware processor may be coupled to a communication network and receive charging requests and discharging requests from a plurality of prosumer facilities via the communication network. One or more energy storage systems may be coupled to an energy grid and able to charge from and discharge to the energy grid, and may communicate with the hardware processor via the communication network. Based on the charging requests and discharging requests, an energy schedule may be generated. The energy schedule may include a first set of the prosumer facilities from which charge requests are accepted, and a second set of prosumer facilities from which discharge requests are accepted. One or several energy storage systems may be controlled or triggered to charge or discharge repeatedly via the energy grid according to an updated energy schedule (e.g., regularly updated).

Abstract: A method (400) for configuring an industrial automation system (1) for internet-of-things accessibility involves a computing device (101) which a) receives (410) a first user input indicative of a functional object (70) representing one or more low-level devices (10) and/or automation devices (20) and/or supervising and production control devices (30). The computing device (101) also b) receives (420) a second user input indicative of a cloud object (72) representing a cloud service provider (3) being external to the industrial automation system (1). The computing device (101) further c) receives (430) a third user input indicative of a user terminal object (74) representing a user terminal device (4) being external to the industrial automation system (1).