Abstract: Medicine packaging apparatuses and methods for accurately determining a remaining sheet amount of a medicine packaging sheet are described. The apparatus includes: a roll support section to which a core tube of a medicine packaging sheet roll is attached; a sensor disposed in the roll support section for outputting a count value according to a rotation amount; a wireless reader-writer unit for writing information to a core tube IC tag and reading said information; an information generation section for generating information to be written to the core tube IC tag; a remaining sheet amount estimation section for estimating a current amount of remaining sheet based on the information and dimensional information of the core tube; and a controller which selectively performs an operation if a reference time-point count value is not yet written to the core tube IC tag and another operation if the count value is already written thereto.

Abstract: A method of operating a diagnostic data collection device and a diagnostic data bus for an HVAC system are disclosed. In an embodiment, the diagnostic data collection device includes a diagnostic communication interface and a flexible interface module. The interface module measures electrical properties associated with an HVAC component. Electrical properties may include a sensor output and may include analog and digital signals. The diagnostic data collection device generates an exception message if the sensed property is out of specification. Evaluation rules are provided to detect various types of failures, including transient failures, steady state failures, and trending failures. The diagnostic data collection device self-calibrates by recording electrical properties during normal operation of the HVAC equipment. A plurality of diagnostic data collection devices may be coupled by a diagnostic data bug independent of the HVAC system's control bus, to ensure operational integrity of the diagnostic system.

Abstract: An information processing device controls operation trouble or a calculation amount related to a machine interference check by automatically creating a three-dimensional model optimal for the machine interference check. The information processing device optimizes, for the interference check, three-dimensional model data of a machine including a plurality of structures. The information processing device includes a check object selection unit that performs selection among the structures, and a model creating unit that creates three-dimensional model data for an interference check which data includes the selected structure. Since the information processing device can generate three-dimensional model data optimized for an interference check, there is no trouble for a user to create new three-dimensional model data by himself/herself, and a simple and effective interference check can be realized.

Abstract: Technologies for collaborative optimization include multiple Internet-of-Things (IoT) devices in communication over a network with an optimization server. Each IoT device selects an optimization strategy based on device context and user preferences. The optimization strategy may be full-local, full-global, or hybrid. Each IoT device receives raw device data from one or more sensors/actuators. If the full-local strategy is selected, the IoT device generates processed data based on the raw device data, generates optimization results based on the processed data, and generates device controls/settings for the sensors/actuators based on the optimization results. If the full-global strategy is selected, the optimization server performs those operations. If the hybrid strategy is selected, the IoT device generates the processed data and the device controls/settings, and the optimization server generates the optimization results.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: A system for controlling airflow into a single room includes a duct having a controllable damper, fluidly connected to the room, a controller connected to the damper, configured to open and close the damper, at least one sensor communicatively connected to the controller, positioned in the room and configured to measure a parameter in the room, at least one portable computing device communicatively connected to the sensor and the controller, and control logic stored as instructions on a non-transitory computer readable medium, the instructions configured to open and close the damper in response to a measurement received from the at least one sensor. A method for controlling a damper in a duct fluidly connected to a room is also described.

Abstract: A load control system may be configured using a graphical user interface (GUI) software. The GUI software may be implemented to collect control devices and add the control devices to the load control system for configuration. Programming data may be automatically determined for the added control devices based on the type of control device, the location of the control device, and/or the load type controlled by the control device. The programming data may include control settings for a scene, a schedule, or an automated control feature. The programming data may be displayed for being viewed and/or adjusted by a user. The programming data may be transmitted to the control devices and/or a system controller for being implemented in performing load control.

Abstract: A method for detecting a wearing-state and a wearable device are provided. The wearable device includes an infrared proximity sensor, an acceleration sensor, and a control circuit. The control circuit is configured to turn on the infrared proximity sensor in response to detecting, by the acceleration sensor, a user operation. The control circuit is configured to determine whether the wearable device is in a wearing state or a non-wearing state, according to a state of the infrared proximity sensor.

Abstract: A method, system and program for determining a fingerprint of a parameter. The method includes determining a contribution from a device out of a plurality of devices to a fingerprint of a parameter. The method including: obtaining parameter data and usage data, wherein the parameter data is based on measurements for multiple substrates having been processed by the plurality of devices, and the usage data indicates which of the devices out of the plurality of the devices were used in the processing of each substrate; and determining the contribution using the usage data and parameter data.

Abstract: A drilling system includes a top drive having a motor with a rotating shaft and an adjustable torque. The drilling system also includes a connector that couples the rotating shaft to a drillstring. The drillstring system also includes a controller that provides torque commands to the motor, wherein the torque commands are based at least in part on a dynamics model and operate to dampen vibrations due to torsional wave propagation along the drillstring.

Abstract: The present invention provides a large-scale high-speed rotary equipment measuring and neural network learning regulation and control method and device based on rigidity vector space projection maximization, belonging to the technical field of mechanical assembly. The method utilizes an envelope filter principle, a two-dimensional point set S, a least square method and a learning neural network to realize large-scale high-speed rotary equipment measuring and regulation and control.

Abstract: A method of providing additive manufacturing includes the steps of (a) developing a plurality of layers to result in a final shape product, (b) developing a space filling algorithm to develop a path, (c) estimating a temperature at a location along the path in an existing direction of the path, and (d) comparing the estimated temperature to a desired temperature and altering the existing direction of the path should the estimated temperature differ from the desired temperature by a predetermined amount. An additive manufacturing system is also disclosed.

Abstract: The present disclosure relates to an information processing apparatus, a method, and a program capable of causing a system to efficiently learn a method of controlling a person. A control learning system calculates a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target. The control learning system performs reinforcement learning using the calculated reward and the state of the control target to select a better action for bringing the control target closer to the objective state. The control learning system executes the selected action for the control target. For example, the present disclosure can be applied to a control learning system including a terminal and a cloud system.

Abstract: Systems and methods are provided for receiving, by a simulation model, a thermal gradient and a cooling rate associated with a 3D printing material as inputs for the simulation model. The systems and methods further include generating, by the simulation model executed by a processing system, characteristics associated with the 3D printing material as outputs of the simulation model based on the thermal gradient and the cooling rate associated with the 3D printing material.

Abstract: A heat dissipation system for a smart piano may include a heat dissipation driver, a heat dissipation device, a sensor, a protection circuit and a hardware processor. The sensor may be configured to detect a thermal parameter of an execution device of the smart piano. The protection circuit may be configured to analyze the thermal parameter to generate a protection signal. The hardware processor may be configured to determine a preset algorithm, generate a control signal according to the protection signal and the preset algorithm, and control a heat dissipation condition of the smart piano. The controlling the heat dissipation condition of the smart piano may include control an operation condition of the execution device and/or the heat dissipation device. The controlling may include controlling an output power of the execution device and/or the heat dissipation device.

Abstract: In order to reduce the calculation cost of industrial plant evaluation, an industrial plant evaluation device 5 comprises: a reception unit 51 configured to receive an actual machine manipulated variable in process control of an industrial plant and an actual machine process variable to be controlled by the process control; an estimation unit 52 configured to determine a process variable as an estimated process variable by using a process model defining a mathematical relationship between a manipulated variable and a process variable in the process control, the process variable as the estimated process variable being obtained by substituting the actual machine manipulated variable for the manipulated variable in the process model; and a comparison unit 53 configured to compare the estimated process variable and the actual machine process variable with each other.

Abstract: Implementations generally relate to devices, apparatuses, and methods for determining preferences in a residential sensor device platform. In some implementations, a residential sensor device includes one or more sensors operative to sense activity in a living space, one or more processors, and logic encoded in one or more non-transitory computer-readable storage media for execution by the one or more processors. The logic when executed is operable to perform operations including receiving a plurality of user changes to at least one default setting of the sensor device. The logic when executed is further operable to perform operations including determining a setting adjustment policy, wherein the setting adjustment policy is based on user change information associated with the plurality of user changes. The logic when executed is further operable to perform operations including adjusting the at least one default setting based on the setting adjustment policy.

Abstract: An operation information analyzer includes: an information collection unit 11 configured to collect event information on events that have occurred during operation of an apparatus 20 including a plurality of devices 21; an information analysis unit 12 configured to organize the collected event information to generate and store index values used to evaluate operation conditions of the apparatus 20; and an information presentation unit 13 configured to present the index values stored in the information analysis unit 12 to a user. The information analysis unit 12 generates the index values for each period sectioned based on a change in an operation state of the apparatus.

Abstract: A graphical display configuration system of a process control system provides features within the configuration environment so that the runtime appearance and/or runtime behavior of graphical elements and/or graphical display views (or portions thereof) are able to be validated and/or verified in-line with their configuration workflows wholly within the configuration environment, without having to publish, compile, and/or download draft graphical configurations into the operating environment of a process plant supported by the process control system, and/or without requiring specialized scripts to be implemented within the operating environment of the process plant. The validation may be based on data provided from one or more sources external to the draft display view configuration, e.g., from the configuration and/or the operating environment.

Abstract: An autonomous BOP system is provided for stopping an uncontrolled flow of formation hydrocarbons comprising two or more sensors distributed along a length of a subsea blowout preventer to monitor a drill pipe inside a blowout preventer and measure critical parameters. A computer using predictive-software monitors a blowout preventer along with material critical parameters and calculates a blowout preventer configuration and sequence to arrest a well blowout. Blowout preventer components are fine-tuned and operational modes are added to aid an arrest of a well blowout under realistic conditions.