Abstract: The system includes information and data from analysis systems about optimal window covering positions that is communicated to building occupants. The analysis system communicates information to the occupant via the occupant's client computer to allow the occupant to fully or partially adjust the position of a manual shade or motorized shade, without the need for the analysis system to fully or partially electronically control the shades. The system may also adjust window covering systems and other systems to ensure desired or optimal daylight exposure in order promote optimal circadian functionality in the occupants.

Abstract: The instant disclosure relates to methods, devices, and code for controlling a coating process and, in particular, for controlling a coating process of a substrate. According to various embodiments, the method may include driving a first actuator that supplies the coating process, which is based on monitored process variables that are detected in parallel with one another. The control variables may be considered when driving the first actuator. The method may also include driving a second actuator that supplies the coating process, which is based on the detected monitored process variables. The detected monitored process variables may also be considered when driving the second actuator.

Abstract: Computer readable media for predicting a tooth shape for at least partially un-erupted teeth and dental appliances formed therefrom. In some examples, methods include generating orthoscopic views of virtual representations of an identified tooth type in different orthogonal directions, representing bounding shapes around the orthoscopic views, and applying principal component analysis on the bounding shapes to predict a tooth shape. In some examples, methods include generating a spherical harmonic signature for virtual representations of an identified tooth type, calculating a distance between spherical harmonic signatures to predict the tooth shape. The predicted tooth shape of the at least partially un-erupted tooth may be incorporated into virtual dentition model(s) of a dentition in accordance with an orthodontic treatment plan for treating the dentition.

Abstract: Examples herein may include a computer-implemented method for providing outcome tracking of a plurality of patients, which may include generating a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset may represent the expected values of a patient biomarker over the duration of the patient's recovery. The computer implementing method may include receiving respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients. The method may include aggregating the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients. The method may include determining differences between the respective expected patient biomarker data and the respective actual patient biomarker data. The method may include generating a treatment notification based on the differences.

Abstract: A system for predicting performance of building equipment includes one or more processors and memory storing instructions. When executed by the one or more processors, the instructions cause the one or more processors to perform operations. The operations include obtaining sensor data generated by one or more sensors while operating the building equipment to affect one or more environmental conditions of a building, generating a predicted performance of the building equipment using a machine learning model if the machine learning model comprises prior data similar to the sensor data, and requesting feedback from an expert related to the predicted performance of the building equipment if the sensor data are different from the prior data.

Abstract: Various aspects described herein relate to a system that utilized deep learning and neural networks to estimate/predict an amount of natural resource production in a well given a set of parameters indicative of physical changes to the well. In one aspect, a virtual flow meter includes memory having computer-readable instructions stored therein and one or more processors configured to execute the computer-readable instructions to receive one or more input parameters indicative of physical changes to at least one well; apply the one or more input parameters to a trained neural network architecture; and determine one or more outputs of the trained neural network architecture, the one or more outputs corresponding to predicted fluid output of the at least one well.

Abstract: Systems and methods for providing an intuitive and semi-automated means of collecting and managing crowdsourced data via a crowdsourcing platform, and further leveraging the crowdsourced data to provide various features and services in the field of workplace and building automation and management.

Abstract: A method for controlling a materials handling and/or construction machine, such as a crane or cable excavator, wherein different control functions are selected on a screen of a controller with a touchscreen function by touching a control function symbol, and respective functional parameters of the selected control function are set. A working region boundary of a working region delimiting function for automatically deactivating and/or slowing down at least one actuator is displayed on the screen together with a display of the materials handling and/or construction machine and/or the work surroundings in the form of a touchscreen display element when the working region boundary is reached and is adjusted by touching and moving the working region boundary on the screen relative to the display of the materials handling and/or construction machine and/or the work surroundings thereof.

Abstract: The present application is directed at pin programming od controllers for power converters and provides for the programming of a plurality of different controller parameters using a single programming resistor. The value of the programming resistor is used as a pointer to select a table storing a plurality of different settings for the controller.

Abstract: Provided is an apparatus for generating a operation plan of a hydrogen production system comprising a hydrogen production apparatus, comprising: a demand predicting unit for generating a predicted demand amount for each of a plurality of types of hydrogen with a different environmental load of production over a target period of the operation plan; and an operation planning unit for generating the operation plan, which is for generating a plurality of types of hydrogen with a different environmental load of production by the hydrogen production apparatus, based on a predicted hydrogen demand amount of each of the plurality of types of hydrogen.

Abstract: A method includes selectably controlling a power supply from an Alternating Current (AC) power system and/or a solar Direct Current (DC) power system to a cryptocurrency system including a number of mining servers and/or a set of mining loads using an electronic control system, and optimizing the power supply from the solar DC power system to the number of mining servers using a mining node power management system associated with the electronic control system in accordance with continuously updating, through the mining node power management system, a power requirement of mining a specific type of cryptocurrency through the cryptocurrency system and monitoring photovoltaic generation units of the solar DC power system that include trackers to adjust orientation of components thereof such that solar energy captured thereby is maximized.

Abstract: A computer implemented method of scheduling maintenance tasks for a target device, the device having a unique device type, comprising: retrieving, from a sequential transactional database, a series of transactions for each of a plurality of devices having the device type, each transaction corresponding to a change of state of one of the other devices; training a recurrent neural network based on each retrieved series of transactions as a predictor of a subsequent change of state of a device having the device type; retrieving, from a sequential transactional database, a series of transactions for the target device, each transaction corresponding to a change of state of the device; predicting a next maintenance task for the target device based on the series of transactions for the target device applied to the recurrent neural network; scheduling the predicted next maintenance task for the target device.

Abstract: A method classifies air particulate data. Air sensor data is received from an air sensor. The air sensor data comprises a particulate vector. A machine learning model generates output from the air sensor data using a machine learning model. A notification that uses the machine learning model output is transmitted by a control system.

Abstract: The present disclosure includes an HVAC system that includes a plurality of dampers each corresponding to one building zone of a plurality of building zones, a plurality of sensors each corresponding to the one of the plurality of building zones, and a control board communicatively coupled with the plurality of dampers and sensors. The control board includes a plurality of status light sources, each corresponding to one damper the plurality of dampers, a plurality of communication light sources each corresponding to one sensor of the plurality of sensors, and a microcontroller programmed to control operation of equipment in the HVAC system. The microcontroller is configured to perform “a hardware test mode” to facilitate diagnosis of the plurality of dampers by causing the plurality of status light sources to sequentially execute a first light scheme or a second light scheme in response to instructions to the plurality of dampers.

Abstract: A building management system (BMS) gateway comprises a BMS router and a water heater hub configured to be communicatively coupled to a plurality of water heaters. The BMS router facilitates communication of status and control data between a BMS and the water heaters connected to the water heater hub. Connecting multiple water heaters to a single BMS gateway provides simplified installation and networking requirements. For installations with more water heaters than are able to be coupled to the water heater hub, additional BMS gateways may be installed. Local controls for water heaters managed by the BMS are typically disabled or overwritten by the BMS to prevent changes to settings. A local BMS user interface (UI) is configured to connect with the BMS gateway(s) and facilitate secure access, display, and/or adjustment of water heater status and control data for the plurality of water heaters connected to the BMS gateway(s).

Abstract: A home appliance can operate in a future time frame. Information is obtained from a power distributor in order to determine a time when to operate the home appliance in this future time frame. The home appliance then operates at the time determined with information from the power distributor.

Abstract: Embodiments of a dock with an actively controlled heatsink for a multi-form factor Information Handling System (HS) are described. In some embodiments, a dock may include: a base, a plateau configured to receive an IHS, and an arm coupling a distal edge of the base to a proximal edge of the plateau, where the plateau comprises a heatsink configured to cool a heatpipe disposed within the IHS via a bottom surface of the IHS.

Abstract: A substrate processing system for performing processing on a plurality of substrates. The substrate processing system comprises: a processing unit comprising a plurality of processing modules each configured to perform a predetermined process; a transfer unit having a transfer device configured to transfer a substrate to each of the plurality of processing modules; a loading/unloading unit configured to hold a plurality of substrates and load/unload a substrate to/from the processing unit; and a controller configured to control the processing unit, the loading/unloading unit, and the transfer unit. The controller controls the transfer unit to transfer to the plurality of processing modules in a serial manner a plurality of substrates that are sequentially loaded from the loading/unloading unit to the processing unit, the controller further comprises a standby mode setting unit configured to set a standby period of the substrate at an appropriate timing depending on a content of the process.

Abstract: A swarm autonomy system and swarm autonomy method for organizing multiple industrial robots to carry out a number of manufacturing tasks comprises a swarm core and at least one swarm fleet, wherein, the swarm core is configured to manage the swarm autonomy system and generate a swarm plan; and the swarm fleet is configured to execute a manufacturing execution according to the swarm plan.

Abstract: Energy allocation system comprises a solar panel system and a local energy storage system, each capable of being plugged into a power socket of a home grid and each having a communication unit. The system further comprises a control unit, comprising a third communication unit, configured to receive the information relating to the solar panel system, and the information relating to the energy storage system via said communication units, and a processing unit. The processing unit is configured to determine, based on the received information, an allocation of energy in the home grid to the energy storage system, and to accordingly generate a control signal for the energy storage system. The third communication unit is further configured to transmit the generated control signal to the energy storage system.