Abstract: An electronic device and method for predicting whether a manufactured product will exhibit a potential defect by providing measurement information of a home appliance as input to a first learning network model and a second learning network model trained to predict whether the home appliance will exhibit a potential defect, applying a first weight to first prediction information output from the first learning network model and a second weight to second prediction information output from the second learning network model, identifying a probability that the home appliance will exhibit the potential defect based on weighted first prediction information of the first prediction information to which the first weight is applied and second prediction information of the second prediction information to which the second weight is applied. The first learning network model is a supervised learning network model and the second learning network model is an unsupervised learning network model.

Abstract: A computer-implemented method for predicting a target indicator of a technical system. The method includes: providing a set of data comprising at least data of a first type and at least data of a second type, transforming at least the data of the first type into a first processed subset, transforming at least the data of the second type into a second processed subset, transforming at least the first processed subset and the second processed subset into merged data, and predicting a target indicator of the technical system based on the merged data.

Abstract: A method of controlling building service systems associated with a building for optimizing a plurality of building performance parameters with respect to a region of the building, the building service systems including an air-conditioning and/or heating system, a lighting system and a shading system, is provided.

Abstract: A computer is provided with a geometric representation of an as-designed part and a set of hybrid manufacturing capabilities. The computer computes a set of additive and subtractive manufacturing primitives from the provided set of hybrid manufacturing capabilities, and intersects the primitives to generate an atomic decomposition of space. The computer uses the atomic decomposition to generate a non-geometric representation of a space of manufacturable parts with hybrid manufacturing capabilities in at least one of symbolic, logical, and combinatorial forms. At least one of a necessary, sufficient, or necessary-and-sufficient condition for manufacturability is tested via examining the non-geometric representation for the existence of at least one feasible process plan whose outcome is an as-manufactured part that is interchangeable with the as-designed part.

Abstract: A method and system for providing energy audits including installation, verification and inspection of energy consuming components and energy producing components. An energy audit is conducted offline on an energy audit application on a network device for energy consuming components (e.g., lighting, heating, ventilation, air condition, etc.) and energy producing components (e.g., solar, wind, water, etc.) and automatically synchronized to a server network device when the network device is able to connect to a communications network and go on-line. Energy audit templates are provided to ensure all energy consuming components and energy producing components are fully defined and consistently identified on an electronic floorplan for a commercial or industrial building.

Abstract: A non-transitory computer readable medium storing computer code which, when executed by a computer, causes the computer to access and activate software applications of accredited electrical power units by using personal access data that are used for automated access to the software applications of the accredited electrical power units and are held for this purpose in access data storage, and to perform image capture and image evaluation of graphical representations that are available, having been generated by the software applications, during the automated access to the software applications of the accredited electrical power units. The image evaluation ascertains status data of the accredited electrical power units and stores the status data in a status data memory and/or transmits the status data to a controller.

Abstract: Disclosed herein is a programmable surface object, in accordance with some embodiments. Accordingly, the programmable surface object may include a structure and a plurality of variable compressibility elements. Further, the plurality of variable compressibility elements may be configured for allowing compressing of the structure to one of a plurality of compression levels corresponding to one of a plurality of energy stimuli received by the plurality of variable compressibility elements, wherein the compressing of the structure allows deforming of the programmable surface object to one of a plurality of deforming degrees.

Abstract: A method of providing a plurality of controller certificates for a plurality of controllers within a Building Management System (BMS) includes downloading project information defining the BMS and using the downloaded project information to solicit a Certificate Signing Request (CSR) from each of the plurality of controllers of the BMS. The received CSRs are uploaded to a remote server so that the remote server can generate a corresponding controller certificate for each of the plurality of controllers of the BMS. The generated controller certificates are then downloaded to the corresponding one of the plurality of controllers of the BMS.

Abstract: Systems or methods of the present disclosure may provide efficient power consumption for programmable logic devices based on reducing guardband voltages. A programmable logic device may include circuit monitors to mimic critical paths of an implemented circuit design and generate timing information based on the critical paths. A controller on the programmable logic device may adjust the voltage guardband based on the timing information.

Abstract: A rolling early warning method and system of dynamic security risk situation for large scale hybrid alternating current/direct current grids, which includes: constructing the original feature set of the fast total transfer capability (TTC) estimation model; generating the training sample set of the fast TTC estimation model based on the network topology and the forecast information of a period of time in the future; constructing the fast TTC estimation model based on stacking denoising autoencoders and extreme learning machine; generating the future operating conditions (OCs), and determine the type of preventive control actions needed to ensure the system security based on the fast TTC estimation model and the heuristic search algorithm; and conducting the layered and hierarchical early warning for OCs according to the type of operating state and the type of preventive control actions that is needed.

Abstract: The problem of addressing vibrational disturbances in mechanical positioning systems is addressed by systems and methods that use a combination of active vibration dampening and passive vibration dampening. A system described herein generally comprises a mechanical positioning system; a payload; and a vibration dampening module coupled to the mechanical position system and to the payload. The vibration dampening module generally comprises an active vibration dampener and/or a passive vibration dampener.

Abstract: An inspection-plan based inspection method includes receiving data characterizing an inspection plan associated with inspection of one or more nodes in an inspection site by an inspection device. A first step of the inspection plan includes a first set of operating parameters of the inspection device associated with the inspection of a first node of the one or more nodes and a first set of constraints associated with one or more inspection criteria at the first node by the inspection device. The method also includes generating a first control signal configured to instruct the inspection device to inspect the first node of the one or more nodes. The first control signal is based on one or more of the first set of operating parameters and a user input. The method further includes receiving data characterizing the inspection measurement of the first node by the inspection device.

Abstract: Various systems and methods for detecting risk conditions in a physical workspace. An apparatus can include an interface to receive smart sensor signals from at least one autonomous mobile entity (AME) in the physical workspace. The apparatus can also include processing circuitry coupled to the interface to detect a risk condition associated with the at least one AME, based on the smart sensor signals, relative to a user device associated with a human present in the physical workspace. The processing circuitry can also detect a direction of the risk condition relative to the user device and cause a notification to the first user device. The notification can indicate the direction of the risk condition relative to the user device. Other systems, methods and apparatuses are described.

Abstract: A computing device, including: a memory configured to store computer-readable instructions; and processing circuitry configured to execute the computer-readable instructions to cause the computing device to: generate an environmental condition model (ECM) based on collected environmental attribute data of a physical environment; deploy the ECM to estimate environmental risk for an autonomous agent based on the environmental attribute data and a position of the autonomous agent within the physical environment; and transmit information related to the estimated environmental risk to the autonomous agent to adapt its operation to reduce operational risk.

Abstract: In an example, a method includes receiving, at least one processor, voxelised object model data describing at least part of an intended fabrication chamber content to be generated using additive manufacturing. The voxelised object model data may be derived from a first data set modelling a first object as 2D slices and a second data set modelling a second object as a 3D mesh. Data within the voxelised object model data which is derived from the first data set may be identified, and a geometrical transformation may be applied thereto.

Abstract: This document describes a system and method for selectively switching the fast-wet-etching direction of crystalline silicon, c-Si, nanostructures between the (100) and the (110) crystallographic planes of c-Si by a simple method of sample agitation. This method effectively allows the invention to achieve anisotropic and isotropic wet-etching of c-Si.

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: Task automation by support robots for robotic process automation (RPA) is disclosed. RPA robots may be located on the computing systems of two or more users and/or remotely. The RPA robots may use an artificial intelligence (AI)/machine learning (ML) model that is trained to use computer vision (CV) to recognize tasks that the respective user is performing with the computing system. The RPA robots may then determine that the respective user is performing certain tasks on a regular basis in response to a certain action, such as receiving a request via email or another application, determining that a certain task has been completed, noting that a time period has elapsed, etc., and automate the respective tasks.

Abstract: Systems and methods are provided for controlling a color masterbatch feed rate in production of a manufactured part to match a color of the manufactured part to a target color by adjusting a concentration of masterbatch that is mixed with a raw material and fed into a processing machine for producing the manufactured part. Control of the color masterbatch feed rate is based on optical spectral properties of an in-line manufactured part, a known reference part having the target color, and an algorithm for calculating and adjusting the color masterbatch feed rate.

Abstract: A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.

Abstract: Information for addressing an incident depending on the incident is given. A control system includes a controller that performs a control operation for controlling an object to be controlled and a security component connected to the controller, the security component being responsible for a security function of the control system. The security component includes a collection module configured to collect state information indicating an operating state of the control system, a sensing module configured to sense an incident in the control system based on the collected state information, and a notification module configured to give information for addressing the sensed incident.

Abstract: A system of communicating data over a high availability industrial control system is disclosed. The industrial control system includes a first data producer, a second data producer in communicative connection with the first data producer, a first data consumer, and a second data consumer in communicative connection with the first data consumer. The system further includes the first producer communicating the data over multiple connection paths from the first producer to the first consumer and the second consumer through intermediate modules, and the second producer communicating the data over multiple connection paths from the second producer to the first consumer and the second consumer through intermediate modules. Also disclosed is a method of communicating data over the high availability industrial control system.

Abstract: An automated line clearance inspection system will enable fast and accurate inspection of packaging equipment lines to reduce or prevent product intermixing. The system includes a set of image capturing devices that are controlled via a central processing unit whereby end run images are compared with control images to determine if a line is cleared.

Abstract: A runtime server includes a plurality of simultaneously executing runtime systems, which are configured for real-time execution of a control program for an automation system. At least two of the runtime systems execute application modules of the control program, with at least one module executing an application of the control program being installed on each runtime system. Each runtime system has a data transmission interface for transmitting data between the runtime systems and/or application modules, an I/O configuration which defines an allocation between at least one variable of the application modules and at least one hardware address of a hardware component of the automation system, an I/O interface for data exchange between the runtime systems and hardware components, and an intermediate I/O mapping layer. The I/O configurations are mapped in the intermediate I/O mapping layer.

Abstract: A system for recommending a maximum quantity of work in process, in which one or more processors of a distributed storage device are configured to execute: acquiring at least part of production data stored in the distributed storage device, the production data includes quantity records and cycle time records of a production line in time periods, and the cycle time record of each time period includes a cycle time at each process station of the production line in said each time period; clustering the quantity records to obtain a plurality of initial classifications, each initial classification includes at least one quantity record; determining a portion of the initial classifications as preferred classifications; determining the maximum quantity of work in process at each process station; and a display device is configured to display the maximum quantity of work in process at each process station determined by an analysis device.

Abstract: Provided is an automatic teaching system that is readily able to achieve automation, even when a small but varied number of processing objects are to undergo polishing or coating. The automatic teaching system includes a three-dimensional shape measurement apparatus, a reference marker, an image analysis apparatus, and a robot control device. The three-dimensional shape measurement apparatus acquires shape data of a processing target region on a processing object relative to the reference marker, and the image analysis apparatus divides the shape data of the processing target region into a plurality of continuous reference surfaces, in accordance with a predetermined algorithm, automatically generates a program of an operation path along which a polishing apparatus or coating apparatus of the robot is to be operated, for every reference surface, in accordance with a predetermined operation path generation rule, and transmits the program of the operation path to the robot control device.

Abstract: Disclosed is an integrity index detecting method for a device by means of a control output signal including an integrity information collecting step S10 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a defect information collecting step S20 of measuring and collecting a time interval between a control output signal and a subsequent control output signal; a setting step S30 of setting an integrity reference value and a defect reference value for the time interval between the control output signals; a detecting step S40 of measuring and collecting the time interval value between a control output signal and a subsequent control output signal; and an outputting step S50 of outputting the integrity index value detected in the detecting step S40 to provide the integrity index value to the manager.

Abstract: A method for a device, including an integrity information collecting step S10 of measuring and collecting a time consumed from a start time of one operation to an end time in a normal state of a device; a defect information collecting step S20 of measuring and collecting a time consumed from a start time of one operation to an end time in a state of a device; a setting step S30 of setting an integrity reference value and a defect reference value for the time consumed for one operation of the device; a detecting step S40 of measuring and collecting a time value consumed from a start time of an operation of the device to an end time in real time and detecting an integrity index value of the device; and an outputting step S50 of outputting the integrity index value.

Abstract: The present invention relates to an integrity index detecting method for a device by means of a control output signal which, after establishing an integrity index reference table based on an integrity reference value set based on information collected from a normal device and a defect reference value set based on information collected from a device before a malfunction occurs, outputs an integrity index value indicating an integrity of the device in real time by applying a gradient value with respect to a time interval value between control output signals collected from the device in real time to the integrity index reference table to provide the integrity index value to a manager.

Abstract: The present invention relates to a predictive maintenance method for a device by means of a control output signal and it is possible to collect operation information of a device in a normal state and operation information of the device before a malfunction occurs, set a suspect value based on the collected information, and if a condition in which an anomaly in the device is suspected is satisfied by comparing a collected value in accordance with operational information collected in real time with the suspect value, issue an warning to induce a service and replacement of the device at an appropriate time, to prevent huge losses of money due to device malfunction in advance.

Abstract: A method for detecting an abnormal event performed by a computing device according to an embodiment of the present disclosure includes analyzing log data to identify sequentially executed activities and generating a process model comprising a node indicating each of the activities and an edge indicating an execution predecessor relationship between the activities, and outputting a result of analyzing log data generated in real time based on the process model.

Abstract: Architectures or techniques are presented that can determine a setting for an environment control (EC) or HVAC system in response to a fault with the EC system that controls an environment of an occupant. Significantly, the determined setting can be intentionally selected as one that does not comport with the expectations or desired comfort level of the occupant. Thus, a condition can be created in the environment that is determined to be likely to cause the occupant to examine a user interface associated with the EC system. The user interface can present an indication of the fault, which otherwise may go unnoticed, particularly in cases where the occupant has no reason to interact with the EC system due to the environment meeting expectations.

Abstract: A cabinet with filter life prediction function and a method of predicting filter life are provided. The cabinet has an airflow module generating airflow flowing through a filter module. An air quality sensor continuously monitors the air quality sensing value of the airflow and records the sensed value in association with the sensing time. A regression analysis is performed based on the record data to obtain a regression model when a modeling condition is met. When a prediction condition is met, a time period for the currently sensed value to decrease to a threshold is calculated to be a predicted remaining life of the filter module. A notification is generated when the predicted remaining life of the filter module is less than a life threshold.

Abstract: A model learning system comprises a server and a plurality of vehicles having control devices configured to be able to communicate with the server and configured to perform learning related control relating to machine learning. The server is configured to judge if among the plurality of vehicles, there is a specific vehicle mounting a repair part scheduled for repair, a replacement part scheduled for replacement, or an outdated part and, when there is a specific vehicle, to transmit an instruction to the specific vehicle to stop learning related control. The control device is configured so that, when receiving a stop instruction, it makes the learning related control stop.

Abstract: The present invention relates to a system and method to facilitate remote and accurate maneuvering of unmanned aerial vehicle (UAV) under communication latency. The UAV provides a ground control station (GCS), with a video feed of an area of interest (AOI), after a time T from actual capturing of the video by the UAV, due to latency in video and communication between the UAV and the GCS. The GCS further receives control commands directly from a controller of the user, and transmit the video feed along with interactive marker(s), step by step marking of singular points using raycast vector, and/or virtual UAV being overlaid on top of the video feed to a display module or VR headset associated with the user, to facilitate the user to assess how much movement the user is exerting on the UAV through the controller, and also see how the actual UAV will perform or maneuver in the AOI after time T, thereby facilitating the user to continuously assess and rectify maneuvering or directing of the UAV in the AOI.

Abstract: An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system that is in communication with the vehicle propulsion system, the braking system, and the steering system. The computing system includes a processor and memory that stores computer-executable instructions that, when executed by the processor, cause the processor to perform acts including setting as a destination for a trip of the autonomous vehicle. The destination for the trip of the autonomous vehicle being set as a location of a second autonomous vehicle at a specific time. The processor is further configured to select a route to the destination for the trip of the autonomous vehicle. The processor is yet further configured to control at least one of the vehicle propulsion system, the braking system, or the steering system to move the autonomous vehicle along the route as selected for the trip.

Abstract: A method for remote control of an autonomous driving vehicle (ADV) includes: sending an assistance request to a cloud server in response to detecting that a current road section in front of the ADV is unable to be passed; obtaining a reference detour route returned from the cloud server; generating control instructions based on the reference detour route and a current driving environment of the ADV; and controlling the ADV based on the control instructions.

Abstract: An autonomous vehicle configured to perform a lane change maneuver is described herein. The autonomous vehicle includes several different types of sensor systems, such as image, lidar, radar, sonar, infrared, and GPS. The autonomous vehicle additionally includes a computing system that executes instructions on a lane change detection system and a control system. The lane change detection system includes a region of interest module and an object trajectory module for determining whether the autonomous vehicle will collide with another object if the autonomous vehicle maneuvers into an adjacent lane. An instruction module of the lane change detection system is further used to facilitate operational control of a mechanical system of the autonomous vehicle, such as an engine or a steering system.

Abstract: An information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire image information of an object and tactile information indicating the condition of contact of a grasping device with the object. The processing circuitry is configured to grasp the object. The processing circuitry is configured to obtain output data indicating at least one of the positions and the posture of the object on the basis of at least one of a first contribution of the image information and a second contribution of the tactile information.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: This disclosure is generally directed to using a building security system to provide assistance to a delivery robot. In one example implementation, a communication system provided in the delivery robot communicates with the building security system to obtain information pertaining to a terrain between the autonomous vehicle and a package drop-off spot at the building. The information may be provided in the form of an image captured by a camera located on the premises of the building. In one case, the delivery robot may identify a landmark in the image and use the landmark to navigate to the package drop-off spot. In another case, the delivery robot may use the image to generate a route map for traveling to the drop-off spot. In yet another case, the delivery robot may match and/or compare the image to a reference image or a topographical map to navigate to the package drop-off spot.

Abstract: Provided are an information processing apparatus and a mobile robot configured so that influence of a change in the posture of a mobile body can be reduced and the accuracy of measurement of a distance to a target object can be improved. A mobile robot 1 includes a control section 2 configured to drivably control each unit of a robot body 1A, a detection section 3 configured to detect a target object around the robot body 1A, and a mobile section 4 configured to move the robot body 1A. The detection section 3 includes first distance sensors 31 configured to detect distances to first positions P1 on a floor surface F in a movement direction D1 of the robot body 1A and second distance sensors 32 configured to detect distances to second positions P2.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.