Abstract: The technology disclosed herein enables automation of component sourcing when designing a process system in an industrial environment. In a particular embodiment, a method includes receiving design specifications of a process system in an industrial environment via a system design application. The method further includes determining components to implement the process system from the design specifications and identifying a first subset of the components for sourcing from an external provider. The method also includes populating the first subset into a component sourcing application.

Abstract: This invention relates to systems and methods for redundant data center cooling and electrical systems.

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: 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: In one embodiment, an apparatus includes a port comprising circuitry to couple the apparatus to one or more devices over a DisplayPort (DP)-based link and a processor to generate signals for communication over the DP-based link. The apparatus also includes memory with instructions to cause the processor to initiate a transition to a low power state in devices of the DP-based link by transmitting a sleep pattern signal over the DP-based link, and initiate a transition to an active power state in devices of the DP-based link by transmitting a wake pulse sequence and physical link establishment signal pattern over the DP-based link.

Abstract: Embodiments herein describe a mechanism that puts all the wake sources except a master wake source in low power state (e.g., sleep state) to reduce the overall sleep state power consumption. A Bluetooth Low Energy (BT LE) device is used as master wake source, which scans the presence of a user, and if the user (e.g., mobile device with specific media access control (MAC) address) is in the vicinity or approaching towards the system, the wake sources and memory are made active again. Other embodiments may be described and claimed.

Abstract: This regional energy management device calculates the power interchange between consumers, on the basis of: storage battery level distribution indicating the relationship between storage battery levels and the position of storage batteries in a region at each time; excess or shortages of power for each consumer at each time, if a consumer has implemented a power supply equipment operation plan for fulfilling a consumer target index for that consumer; and an overall regional target index.

Abstract: Devices, methods, and systems for monitoring and/or assessing compliance with infectious disease guidance for reducing infectious disease transmissions are described herein. The systems may include sensing devices at or within a facility and computing devices to compare data based on outputs from the sensing devices with guidance and/or recommendations for mitigating infectious disease transmission. Various compliance parameters may be identified as being relevant to the guidelines and measurable with outputs from the sensing devices. Various compliance parameters may be identified as being relevant to the guidelines, but not measurable with outputs from the sensing devices. The compliance parameters may be individually scored or scored in groups, including the compliance parameters not measureable with outputs from the sensing devices, and a score relative to a facility or group of facilities may be provided. The scores may be presented to via a dashboard.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are disclosed utilizing brain-computer interfaces (BCIs). Various embodiments are disclosed to allow a user to directly select multiple-choice answers, to provide motorized wheelchair controls, and to allow a user to play a game via the BCI. When used in a cognitive assessment test, embodiments include the administration of unmodified standardized tests with results in the same or a similar format as those taken without a BCI. Various embodiments are disclosed to improve the accuracy of BCI test administration using a three-step process for each test question, which includes determining whether the user intends to select an answer, monitoring user brain activity to determine a selected answer, and verifying the selected answer. In addition, the selected answer may be verified by monitoring user brain activity in accordance with a hold-release process to determine whether a user intends to initiate a state change.

Abstract: A system for monitoring and controlling a fluid flow network has a plurality of flow control valves, each operable manually by a removable key engageable with a valve spindle. The system includes a database that records the location of the valve and a turn profile for each valve in the network. A mobile communications device detachably mounted on the key transmits data to the database and receives data from the database, and includes orientation means with at least one of a gyroscope, an accelerometer, a compass, and a processor. The processor is controlled by a software program to (i) communicate with the central database and to receive characteristics for the valve at the transmitted position, (ii) receive signals from the orientation means and calculate the instantaneous rotational speed of the valve spindle and its amount of rotation, and (iii) control rotation of the valve spindle.

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: Methods, system and apparatus for the controlling laundry machines in a laundry facility. A user device receives a list of machines for a laundry facility and displays them on a machine control user interface. The user may then make a selection of a machine, a selection of an operation type and a selection of one or more operational parameters associated with the selected operation type. The selection of the operation type and the one or more operational parameters may be made on the user device or on the selected machine. The machine control user interface may then display the user selections, an estimated duration and a cost. The estimated duration and cost may be based on the selected machine, selected operation type and the one or more selected operational parameters.

Abstract: An inspection system includes machine learning circuitry configured to determine whether each of objects belongs to a predetermined attribute based on feature data of each of the objects, feature data acquisition circuitry configured to acquire feature data of reevaluated objects which are determined to belong to the predetermined attribute without using the machine learning circuitry among excluded objects which are determined not to belong to the predetermined attribute by the machine learning circuitry, and parameter update circuitry configured to update a learning parameter of the machine learning circuitry based on teaching data including the acquired feature data acquired by the feature data acquisition circuitry.

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: A system and method are provided for identification of a combination of sensors suitable for achieving a set of output requirements, enabling assembly thereof. An arrangement of sensors is assembled according to an optimized sensor set, generated to define at least one sensor channel having a threshold value for at least one quality criterion. The sensor sets are generated by down-selection of the sensor channels from a previously tested set of available channels to a subset mapping to a set of required output states. Assignment of a threshold value for each sensor channel is based on a mapping of the value to a target value of a performance metric.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a biologic pharmaceutical. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a batch of a biologic pharmaceutical based on a causal model that measures current causal relationships between input settings and a measure of a quality of batches of the biological pharmaceutical; ii) determining a measure of the quality of a batch of the biological pharmaceutical manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the batch of the biological pharmaceutical, the causal model.

Abstract: A maintenance system is disclosed for assisting in maintaining an automated carrier system for moving objects to be processed. The maintenance system includes a plurality of automated carriers that are adapted to move on an array of discontinuous standard track sections, each said automated carrier including a carrier body that is no larger in either a length or width direction that a standard track section, and an automated maintenance carrier that is adapted to move on the array of discontinuous track sections, said automated maintenance system including a maintenance body that is larger in at least one of a length or width direction than the standard track section.

Abstract: A system for controlling a ground speed of an agricultural sprayer includes a speed setting device for commanding a selected ground speed of the sprayer when operating within a speed-range mode associated with a ground speed range. The speed setting device is movable across a plurality of positions, with each position being associated with a different ground speed within the ground speed range. A maximum range speed of the ground speed range is lower than a maximum ground speed of the sprayer. As such, the system includes a speed override input device for commanding that the ground speed of the sprayer be increased to the maximum ground speed. When an override input is received from the speed override input device, the computing system controls the operation of a sprayer drive system to increase the ground speed of the sprayer from the selected ground speed to the maximum ground speed.

Abstract: Systems and techniques are described for providing control of a monitoring system. In some implementations, a monitoring device is located in a building and is configured to monitor at least a portion of the building based on output from one or more sensors. A monitoring server is located remote from the building and is configured to communicate with the monitoring device. The monitoring server may be configured to translate one or more parameters received from a client device into an interpreted monitoring script and a trigger that causes performance of the interpreted monitoring script. The monitoring device may include an interpreter configured to determine that the trigger has been met and initiate performance of the interpreted monitoring script to evaluate a monitoring rule in accordance with one or more configurable parameters.

Abstract: A load control system for controlling an electrical load in a space of a building occupied by an occupant may include a controller configured to determine the location of the occupant, and a load control device configured to automatically control the electrical load in response to the location of the occupant. The load control system may include a mobile device adapted to be located on or immediately adjacent the occupant and configured to transmit and receive wireless signals. The load control device may be configured to automatically control the electrical load when the mobile device is located in the space. The load control system may further comprise an occupancy sensor and the load control device may automatically control the electrical load when the occupancy sensor indicates that the space is occupied and the mobile device is located in the space.