Abstract: An electronic watch includes a driver controlled to be in an ON state in which a drive current is supplied to a coil of a moter and an OFF state in which the drive current is not supplied to the coil, a target current value setter configured to set a target current value in accordance with a drive voltage for driving the motor, and a driver controller configured to compare a detected current value of a current flowing to the coil with the target current value, control the driver to be in the ON state or the OFF state in accordance with a result of the comparison, and switch polarity of the drive current when detecting that an ON time, which is a duration of the ON state of the driver, meets a predetermined condition or an OFF time, which is a duration of the OFF state of the driver, meets a predetermined condition.

Abstract: A wearable device according to various embodiments of the present disclosure may include a housing forming at least a part of an exterior of the wearable device, a plurality of openings formed in at least a partial region of the housing, an elastic body disposed inside the housing and including a passage spatially connected with the plurality of openings, and at least one microphone sensing vibration introduced from the outside via the plurality of openings and the passage.

Abstract: A controlling and monitoring control application associated with one or more work operations of one or more utility devices is disclosed. The controller is programmed for controlling one or more external work operations associated with one or more utility devices. An I/O board is connected in communication with the primary controller having a module with a plurality of device-specific control applications associated with one or more device-specific work operations. The housing of the controller includes one or more cable access points for plugging a cable into the controller. The cable access points are sealed to prevent water from entering into the housing. A mounting bracket assembly provides flexibility for mounting the controller at various orientations and/or positions. The controller also includes a DC control circuit for controlling backlight luminance over the entire dimming ratio.

Abstract: In an industrial automation system, a control device adapted to a container-based architecture has been developed. The control device may comprise one or more containers instantiated with control execution application, communication application, and or redundancy management application.

Abstract: An information handling system may include an information handling resource, a heat-rejecting media thermally coupled to the information handling resource, the heat rejecting media comprising and a heatpipe structure comprising a plurality of heatpipes. The plurality of heatpipes may include a generally-cylindrical first pipe mechanically coupled at a location proximate the information handling resource and having a first cross-sectional area, a generally-cylindrical second pipe mechanically coupled to the first pipe having a second cross-sectional area less than the first cross-sectional area, and a generally-cylindrical third pipe mechanically coupled to the second pipe having a third cross-sectional area less than the second cross-sectional area, such that the second pipe is coupled between the first pipe and the third pipe and the first pipe, second pipe, and third pipe form a closed plenum, and a finstack structure comprising a plurality of fins mechanically and thermally coupled to the third pipe.

Abstract: A building control system includes a plurality of interconnected building systems. A mobile application is configured to be installed on at least one mobile device. The mobile application is configured to cause the mobile device to interface with the building server and to display a graphical user interface (GUI). The GUI includes an elevator pane configured to allow a user to interface with a building elevator control system.

Abstract: Method and environment controller predicting CO2 level variations based on sound level measurements. The environment controller determines N consecutive sets of frequency domain sound level measurements. Each set of frequency domain sound level measurements comprises a given number M of sound level amplitudes at the corresponding given number M of frequencies. The environment controller executes a neural network inference engine using a predictive model for inferring one or more output based on inputs. The inputs comprise the N consecutive sets of frequency domain sound level measurements. The one or more output comprises a predicted variation of a CO2 level. For example, the environment controller receives a plurality of consecutive time domain sound level measurements from a sound sensor and generates the N consecutive sets of frequency domain sound level measurements based on the plurality of consecutive time domain sound level measurements (for instance by using a Fast Fourier Transform algorithm).

Abstract: Systems and methods for a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance and power metrics data of the host server and to allocate computing resources, a small cores module, including massively parallel processing units, for mapping each instance associated with host server in the performance and power metrics data to a corresponding massively parallel processing unit based on the allocated computing resources for a per-instance metrics calculation, and an artificial intelligence (AI) accelerator for calculating performance and power prediction results based on the per-instant calculations from the small cores module.

Abstract: One embodiment of the present invention discloses a two-phase configuration process (“TCP”) to configure a field-programmable gate array (“FPGA”) to include a configurable microcontroller unit (“CMU”) during a phase I configuration and configuring the CMU during a phase II configuration. TCP, in one aspect, is able to receive first configuration data from a first external storage location via a communication bus. After storing the first configuration data in a first configuration memory for configuring FPGA to contain a CMU for the phase I configuration, second configuration data with MCU attributes is obtained from a second external storage location via the communication bus. The second configuration data is subsequently stored in a second configuration memory for programming the CMU for the phase II configuration.

Abstract: An information processing device includes: a reception unit configured to receive operation information on a power supply device from the power supply device that supplies power to an electric apparatus detachably connected thereto; a ranking unit configured to rank a user of the power supply device based on the received operation information; and a setting unit configured to set an incentive to the user based on a rank of the ranked user. The operation information includes: fuel consumption information indicating a fuel consumption amount of an engine generator; and measurement information indicating measurement results of voltage and current that the power supply device is supplying to the electric apparatus. The ranking unit identifies fuel consumption based on the fuel consumption information and the measurement information, and ranks the user based on the identified fuel consumption.

Abstract: A power supply control device includes: a power generator that converts energy into power; an environmental sensor that detects a state of an ambient environment; and a controller that controls an operation timing of a functional circuit that operates upon receipt of power supplied from the power generator based on the state of the ambient environment detected by the environmental sensor.

Abstract: A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75° F., User B's preferred temperature setting is 68° F., and User C's preferred temperature setting is 70° F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

Abstract: A plurality of learning models generated by performing machine learning on physical quantities observed during respective operations of a plurality of machines are stored in advance. Then, using the stored learning models and a physical quantity observed during an operation of a machine which is an object to be diagnosed, characteristic differences between the machine which is the object to be diagnosed and the plurality of respective machines are calculated, a learning model used in a diagnosis of the operation of the machine which is the object to be diagnosed is selected based on the calculated characteristic differences, and the operation of the machine which is an object to be diagnosed using the selected learning model is diagnosed.

Abstract: The disclosure relates to a safety module for an automation system assembly, having a safety component which is configured to implement a safe operation of the automation system assembly, and an adaptation component which is configured to mediate between the safety component and a communication system of the automation system assembly in order to incorporate the safety module into the automation system assembly, wherein the safety component and the adaptation component are constructed on separate circuit carriers and are connected in such a way that they are mechanically detachable and reconnectable.

Abstract: In a method for operating a machine tool and a corresponding machine tool system, a generic first data model and engineering data are provided in an external server device. The engineering data contain information relating to a machine tool. After a user query regarding an operation of the machine tool, the first data model is translated and/or modified to become a second data model. This occurs in accordance with the engineering data and technical data of the user query by the external server device. The second data model is transferred from the external server device to the machine tool, and a control unit of the machine tool can operate the machine tool according to the second data model. The machine tool can thus be adapted outside the running time of the machine tool.

Abstract: A device for monitoring a production facility includes a computing unit, at least one sensor, a memory unit, and an output device. In the memory unit, in each of at least one process variable set, at least three possible process states are stored and at least one algorithm is stored by which the one of the different possible process states actually present can be calculated, the possible process states that differ in relation to the respective process variable set are classified according to whether measures are necessary or recommended, the commands by the computing unit prompt it to execute the associated algorithm and thus to calculate which of the different possible process states is actually present and to check whether the actually present process state is classified as such a process state, to generate and output an electronic message depending on the calculated process state.

Abstract: The invention disclosures a frame structure optimization method based on 3D printing, comprising following steps: a. inputting the information of force and material property of frame according to design requirement, and building an initial frame model by adopting generative design; b. conducting area reduction optimization for the initial frame model by using an edge contraction algorithm based on quadric error as metric cost, a simplification frame model is obtained; c. arranging point set in cavity of the simplification frame model, connecting each point in the point set, and calculating and retaining the most efficient point of distribution mode and connection mode in the point set based on a multi-objective optimization algorithm, deleting extra points, an optimization frame model is obtained; d. inputting tube radius, transforming the structure in the optimization frame model from the line to the body to obtain 3D printing model of the frame.

Abstract: A system for manufacturing a plurality of discrete objects from a body of material created by additive manufacturing using an automated manufacturing device includes an automated manufacturing device, the automated manufacturing device including at least a controller configured to receive at least a graphical model of a plurality of structures, receive at least a graphical representation of at least an interconnecting portion, the at least an interconnecting portion connecting at least a first structure of the plurality of structures to at least a second structure of the plurality of structures, and generate a graphical representation of an additively manufacture body of material, as a function of the graphical model of the plurality of structures, and the graphical representation of the at least an interconnecting portion.

Abstract: A method of manufacturing customized ceramic labial/lingual orthodontic brackets by digital light processing, said method comprises measuring dentition data of a profile of teeth of a patient, wherein measuring dentition data is performed using a CT scanner or intra-oral scanner, based on the dentition data, creating a three dimensional computer-assisted design (3D CAD) model of the patient's teeth using reverse engineering, and saving the 3D CAD model on a computer, designing a 3D CAD bracket structure model for a single labial or lingual bracket structure, importing the 3D CAD bracket structure model into a Digital Light Processing (DLP) machine, directly producing the bracket by layer manufacturing.

Abstract: An agent engine allocates a collection of agents to scan the surface of an object model. Each agent operates autonomously and implements particular behaviors based on the actions of nearby agents. Accordingly, the collection of agents exhibits swarm-like behavior. Over a sequence of time steps, the agents traverse the surface of the object model. Each agent acts to avoid other agents, thereby maintaining a relatively consistent distribution of agents across the surface of the object model over all time steps. At a given time step, the agent engine generates a slice through the object model that intersects each agent in a group of agents. The slice associated with a given time step represents a set of locations where material should be deposited to fabricate a 3D object. Based on a set of such slices, a robot engine causes a robot to fabricate the 3D object.

Abstract: A machining command improving system is in an integrated system in which a CNC machine tool for machining of a machining target into a predetermined machining geometry a machining command and a shared database are connected to each other. The machining command improving system includes: a machining state recording unit that associates requested information indicating a request to be satisfied in the machining when the CNC machine tool performs the machining and state information indicating a state of implementation of the machining, and registers the associated requested information and state information as machining technique information; and a machining method improving unit.

Abstract: A numerical controller suppresses change of a axis speed to be slow even when a lookahead distance varies with small steps. The numerical controller includes: a lookahead unit that looks ahead a plurality of instruction blocks from an NC program; an analysis unit that analyzes the looked ahead instruction blocks and creates motion instruction data; a target speed calculation unit that calculates a target speed of the axis based on a lookahead distance; an interpolation unit that generates interpolation data based on the motion instruction data and the target speed; and a servo control unit that controls a motor based on the interpolation data. The target speed calculation unit refrains from recalculation of the target speed when a change of the lookahead distance is within a margin.

Abstract: A machining control device according to an aspect of the present disclosure includes: a machining step extraction unit that analyzes a machining program to extract a plurality of machining steps in each of which a feed rate of a tool is changeable; a precedence setting unit that sets precedence to the machining steps extracted by the machining step extraction unit; a machining time period calculation unit that calculates a machining time period of each of the machining steps based on the machining program; and a set value changing unit that changes set values of the feed rates of the tools in descending order of the precedence set by the precedence setting unit such that a sum of the machining time periods calculated by the machining time period calculation unit approaches a target value.

Abstract: An acquisition unit acquires a quantity relating to an operating rate of a facility of a plant and a quantity relating to energy consumption of the facility. An index value specification unit specifies a higher index value as the energy consumption is lower, and a higher index value as the operating rate is higher, or a lower index value as the energy consumption is lower, and a lower index value as the operating rate is higher, based on the quantity acquired by the acquisition unit. An index value output unit outputs information relating to the index value.

Abstract: Techniques regarding the synthesis of one or more polymers of a target polymer class are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a recommendation component that can generate a recommended chemical reactor control setting for inverse synthesis of a polymer based on a target polymer characteristic and reactor training data.

Abstract: Techniques regarding autonomously controlling one or more chemical reactors using generative machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can build a generative machine learning model based on training data regarding a past chemical reactor operation. The generative machine learning model can generate a recommended chemical reactor control setting for experimental discovery of a polymer.

Abstract: Examples disclosed herein relate to initializing a fan speed of a computing device using a high-water value when a pre-runtime event occurs. A management controller (MC) receives sensor data from sensors of the computing device. A fan speed of a fan is controlled using a fan control value based on the sensor data. The fan control value is monitored to determine a high-water value of the fan control value. The high-water value is stored in a location that is accessible by a pre-runtime fan control engine of the computing device. In response to a pre-runtime event, the fan speed is initialized to a speed using the high-water value.

Abstract: In some examples, a computing device may receive, from a user device, inputs specifying a performance parameter and at least one of a material or manufacturing process. The computing device may determine one or more manufacturing processes corresponding to the inputs, and may determine at least one of a machine learning model or a simulation model corresponding to at least one manufacturing process related to the inputs. The computing device may input information related to a plurality of candidate materials into the machine learning model or simulation model to determine a predicted property of the respective candidate materials related to the performance parameter. In addition, the computing device may compare the predicted properties with each other to select at least one of a selected material or a selected manufacturing process, and may send, to the user device, information related to the selected material or manufacturing process.

Abstract: Methods and systems are provided to generate a base digital file for a garment, which may be used in garment production. For example, a system may receive a library from a data source and generate a base digital file for the garment. The base digital file may include a garment identifier, a panel object associated with a panel identifier and references to garment information in the library, and a seam object representing a seam that forms a portion of the garment.

Abstract: An object is to read the information of a feature shape included in a machining program so as to calculate a control command suitable for machining processing on the feature shape. A numerical controller (300) includes: a feature detection unit (302) which detects the feature of a machined shape from a machining program that commands the movement of a tool or a workpiece; an inward-turning amount calculation unit (303) which calculates, based on a servo parameter of a servo controller (400) that drives the tool or the workpiece, the feature of the machined shape detected from the machining program and a machining requirement that specifies a machining condition, a relation formula that determines the inward-turning amount of a machining path with respect to a program path; and a feedrate determination unit (304) which determines a feedrate that is optimized with the relation formula.

Abstract: In an industrial automation system, a control device adapted to a container-based architecture has been developed. The control device may comprise one or more containers instantiated with control execution application, communication application, and or redundancy management application.

Abstract: An apparatus for identifying a path pattern of devices that produces a defective product in a production line where a product is produced via a plurality of device is provided. The device is configured to estimate a path pattern quality indicating a quality of a group of products produced through a production path included in a path pattern, based on a production path quality and an association relationship between a path pattern and a production path indicating devices via which the product is produced and an order of passing through the devices; and to identify a path pattern suspected to be defective based on the estimated path pattern quality.

Abstract: A system and method relating to determining, by a processing device, a first number of parts waiting to be processed in a subsequent step by a plurality of machines housed in a plurality of buildings interconnected by rails, determining a second number of parts that the plurality of machines housed in the plurality of buildings is capable of processing in the subsequent step of the manufacture process over a determined period of time, calculating a capability occupancy ratio based on the first number and the second number for each one of the plurality of buildings, determining a target building of the plurality of buildings based on the capability occupancy ratio, and causing to dispatch the part to the target building via the rails.

Abstract: Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.

Abstract: Aspects of the disclosed technology encompass the use of a deep-learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving control values associated with a process station in a manufacturing process, predicting an expected value for an article of manufacture output from the process station, and determining if the deep-learning controller can control the manufacturing process based on the expected value. Systems and computer-readable media are also provided.

Abstract: A quality management apparatus includes an acquisition unit and an extraction unit. The acquisition unit acquires, about products to be managed, a rate of occurrence of a malfunction on an occurrence period basis, an operation condition of the products, and a manufacturing condition for the products. The extraction unit classifies the rate of occurrence into layers under the operation condition, and extracts, for each layer under the operation condition, a relationship between the rate of occurrence and the manufacturing condition.

Abstract: A management device for managing a component mounter that mounts components onto a substrate using some of constituent elements each selected from one of constituent element groups each including the constituent elements. One group is a nozzle group including nozzles. The device includes: a true displacement amount calculator that calculates, for each target component which is the component, a true amount of displacement which is a sum of (i) an amount of pickup displacement being an amount of displacement between the target component and a target nozzle being one of the nozzles and picks up the target component and (ii) an amount of correction being an amount of offset of a position of the target nozzle when picking up the target component; and a statistical processor that performs parameter estimation for a predetermined statistical model using the true amount to calculate a degree of malfunction of each constituent element.

Abstract: The present disclosure relates to a method for the application-specific setting of a field device, which is installed in a defined application in a process in automation engineering and determines or monitors at least one process variable of a medium, comprising: recording a diagnostic message which occurs or has occurred on the field device during a defined interval, analyzing which of the diagnostic messages are tolerable and/or plausible in the defined application, assigning an application-specific notice with regard to tolerability and/or plausibility to each diagnostic message that has arisen in the defined application, clearing the diagnostic message if this is classified as tolerable and/or plausible in the defined application, and using the application-specific setting of the field device, which clears the diagnostic message classified as tolerable and/or plausible.

Abstract: A work order initiation and tracking system is coupled between various plant asset diagnostic systems and a work or business management system within a process plant. The work order initiation and tracking system includes a user interface that enables a user to review diagnostic data, recommendations, and other information from one or more of the diagnostic systems regarding potential or recommended changes to plant assets, and to initiate the generation of one or more work orders to implement the recommendations or corrections based on information from the diagnostic systems.

Abstract: An industrial IoT system is provided that has adaptable, re-configurable, connected and integrated suite of smart, synchronized sensors and video/thermal cameras for continuous monitoring, access and control from anywhere in an industrial environment. A path sensor comprises a multi-sensor device with lookaround housing feature for monitoring conditions of conveyor brushes. A package sensor comprises a multi-sensor device with sensors adapted for mounting in different form factor carriers for monitoring conditions during package transport. A software platform integrates multiple layers of information from the sensors and video/thermal cameras and corresponding RFID locations into a single meaningful experience/assessment tool that can further be superimposed on a scaled representation of a monitored industrial environment generated from a map and dimensions for same.

Abstract: One general aspect includes a method to initiate remote control of a vehicle, the method including: receiving, via a processor, an indication that a manual drive sequence should be initiated by a remotely located data center; and based on the indication, via the processor, initiating the manual drive sequence such that the data center can remotely control the vehicle.

Abstract: A parking assistance system is remote-controlled from outside a motor vehicle and has a remote-controlled parking function for automated parking and exiting from a parking space with at least automated longitudinal guidance into and respectively out of a parking space. The parking assistance system permits parking in the forward parking direction or rearward parking direction depending on the position of the parking space with respect to the vehicle in question. The parking assistance system has a receiver for receiving a movement direction of the vehicle selected by the user. The receiver can receive as the movement direction (selected by the user), a selected forward driving movement direction for driving the vehicle forwards or a rearward driving movement direction for driving the vehicle in reverse depending on the user's choice.

Abstract: A method of operating a moving object on which a drone is mounted includes detecting, by the moving object, occurrence of an event; determining whether to use the drone, on the basis of the detected event; and determining an operation mode, among a first operation mode and a second operation mode, of the drone when the drone is used.

Abstract: A cleaning robot includes a navigator to move a main body, a remote controller to output a modulated infrared ray in accordance with a control command of a user and to form a light spot, a light receiver to receive the infrared ray from the remote controller, and a controller to control the navigator such that the main body tracks the light spot when the modulated infrared ray is received in accordance with the control command. Because the cleaning robot tracks a position indicated by the remote controller, a user may conveniently move the cleaning robot.

Abstract: The disclosure provides a system and method for autonomously routing delivery vehicles. An autonomous routing system may generate, a plurality of routing passes, each routing pass including a set of parameters, by a processor using one or more business rules that describe a set of allowed values for one or more of the parameters. The autonomous routing system may Execute each the plurality of routing passes on a routing platform configured to generate a routing plan corresponding to a single routing pass. autonomous routing system may select, by the processor, one of the plurality of routing passes according to a comparison rule set that assigns a score to each routing plan corresponding to a respective one of the plurality of routing passes. The autonomous routing system may dispatch the selected routing pass via the routing platform.

Abstract: An example system for racing aircraft systems includes: a plurality of autonomous synchronized unmanned aircraft systems configured to form a swarm at a race course through which the aircraft systems are to navigate; and a controller configured to be operatively coupled to at least one unmanned aircraft system of the swarm, the controller configured to control the swarm to form an element of the race course.

Abstract: A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path.

Abstract: A robotic cart platform with a navigation and movement system that integrates into a conventional utility cart to provide both manual and autonomous modes of operation. The platform includes a drive unit with drive wheels replacing the front wheels of the cart. The drive unit has motors, encoders, a processor and a microcontroller. The system has a work environment mapping sensor and a cabled array of proximity and weight sensors, lights, control panel, battery and on/off, “GO” and emergency stop buttons secured throughout the cart. The encoders obtain drive shaft rotation data that the microcontroller periodically sends to the processor. When in autonomous mode, the system provides navigation, movement and location tracking with or without wireless connection to a server. Stored destinations are set using its location tracking to autonomously navigate the cart.

Abstract: Trucks in a mine or construction site move dirt, ore, or other matter from one location to another. The ore is usually loaded using an excavator or loader. Once at the unloading destination, the truck needs to determine where to unload the ore, dirt, or matter. Different applications require the load to be dumped in different manners. The present invention encodes this knowledge into a database of preferred behaviors and creates a set of automated maneuvers that accomplish these actions. The invention assumes that the truck has a drive-by-wire kit, and that its capable of moving under computer control.

Abstract: Systems and methods for vehicle motion control with interactive object annotation are provided. A method can include obtaining data indicative of a plurality of objects within a surrounding environment of the autonomous vehicle. For example, the plurality of objects can include at least at one problem object encountered by the autonomous vehicle while navigating a planned route. The method can include determining a group of objects of the plurality of objects. For example, the group of objects can include the problem object and one or more other objects in proximity to the problem object. The method can include determining a classification update to be applied to the group of objects. The method can include applying the classification update to the group of objects. The method can include providing data indicative of the classification update for the group of objects to the autonomous vehicle for use in motion planning.