Abstract: A balanced piston pump (300) for use in subsea vehicles, for example in a variably buoyancy engine, includes an inlet (321), an outlet (325) and at least one fluid path between the inlet and the outlet. A piston arrangement in the fluid path includes a stepped piston (330) having a large end (333) and a small end (331). The step (336) of the piston cooperates with the body (310) of the pump to form a piston chamber (320). The ends (332, 334) of the piston are each exposed to ambient pressure. The force required to drive the pump is dependent on the difference in cross sectional areas of the ends of the pistons.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: Aspects provide for dynamic pathloss mitigation via a cross layer tool chain by simulating a three-dimensional model of a physical environment including an access point, an endpoint running an application, and a passive object; emulating network traffic for the application transmitted between the access point and the endpoint; simulating, in the model, pathways for signals to carry the traffic in a plurality of regions for the physical environment; emulating signal degradation along the pathways in the plurality of regions based on respective locations for the access point, the endpoint, and the passive object in the physical environment; and in response to the signal degradation satisfying a pathloss threshold, outputting a command to the application to affect operations of the endpoint. Additionally, the cross layer tool chain outputs a Graphical User Interface showing a signal degradation map based on the simulated network traffic overlaid on the model.

Abstract: The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

Abstract: The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: A wireless access point receives data from a data appliance and transfers the data to a distributed ledger function. The distributed ledger function stores the data in a distributed ledger database, determines additional network access for the data appliance, and transfers an instruction indicating the additional network access to the wireless access point. The wireless access point receives the network access instruction, schedules the additional network access for the data appliance per the network access instruction, wirelessly transfers a network access schedule to the data appliance, wirelessly receives additional data from the data appliance per the network access schedule, and transfers the additional data to the distributed ledger function.

Abstract: An apparatus for thermal interface material detection includes a heat dissipating device stack up that includes a heat dissipating device, a thermal interface material, a heat generating component, and a printed circuit board. The heat dissipating device is disposed on the thermal interface material, the thermal interface material is disposed on the heat generating component, and the heat generating component is disposed on the printed circuit board. A channel in a body of the heat dissipating device includes an embedded conductive probe, where a first end of the embedded conductive probe leads to a lower surface of the body of the heat dissipating device and a second end of the embedded conductive probe leads to an upper surface of the body of the heat dissipating device.

Abstract: A system and method for training in the cleaning of a room. The system includes a room having a plurality of locations to be cleaned; a plurality of optical tags, each of the optical tags positionable to be located at one of the locations to be cleaned and containing codes that link to a website having information about one or more pre-selected janitorial and cleaning products and the use thereof at the one of the locations to be cleaned; and a reader operable by a user and configured to scan the codes of the optical tags and display to the user the room and selectively the information from the website about the one or more pre-selected janitorial and cleaning products and the use thereof at the locations to be cleaned.

Abstract: Methods and systems for protecting a secure computing system. Aspects include connecting a pluggable security card to a motherboard of the secure computing system. Aspects also include activating a detection circuit to monitor a physical connection between the pluggable security card and the motherboard. Based on detecting that the physical connection between the pluggable security card and the motherboard has been interrupted, aspects include setting a tamper event flag, wherein the secure computing system is prevented from being operated when the tamper event flag is set.

Abstract: A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: The integrated circuit (IC) described herein lowers the start-up voltage to, for example, 50 mV, compatible for starting a DC-DC converter from a thermoelectric generator (TEG), even with a small temperature gradient. The IC further improves end-to-end efficiency of the energy harvester by improving power efficiency of the DC-DC converter while ensuring maximum power transfer from the TEG at low voltages. The IC uses a low voltage integrated charge pump that can boost sub-100 mV input voltage. A startup clock is generated by a ring-oscillator that begins operation with low supply (e.g., 50 mV or less), and which allows for one inductor to be used for DC-DC converter and for startup of the converter. The IC can be configured between the TEG and any downstream sensor or communication circuits to provide an acceptable (e.g., greater than 1 V) voltage for powering the downstream circuits from a low-voltage (e.g., less than 200 mV) TEG energy source.

Abstract: A method for interactive training in the cleaning of a room.

Abstract: Determining an upgrade path from a starting topology to a target topology of a network is computationally intense and does not guarantee a steadily increasing usable capacity of the network at each stage within the upgrade path. The disclosed technology allows for a sequence of stages related to network upgrades to be generated. The technology ensures that networks can be upgraded in a sequential manner, where each step in the sequence does not violate service level objectives related to the network, ensures operational continuity of the network by users of the network, and ensures that the available network resources increase as the sequential upgrades are rolled out. The pathway determined is determined in a computationally efficient manner.

Abstract: A system and method for training in the cleaning of a room. The system includes a room having a plurality of locations to be cleaned; a plurality of optical tags, each of the optical tags positionable to be located at one of the locations to be cleaned and containing codes that link to a website having information about one or more pre-selected janitorial and cleaning products and the use thereof at the one of the locations to be cleaned; and a reader operable by a user and configured to scan the codes of the optical tags and display to the user the room and selectively the information from the website about the one or more pre-selected janitorial and cleaning products and the use thereof at the locations to be cleaned.

Abstract: A system and method for training in the cleaning of a room. The system includes a room having a plurality of locations to be cleaned; a plurality of optical tags, each of the optical tags positionable to be located at one of the locations to be cleaned and containing codes that link to a website having information about one or more pre-selected janitorial and cleaning products and the use thereof at the one of the locations to be cleaned; and a reader operable by a user and configured to scan the codes of the optical tags and display to the user the room and selectively the information from the website about the one or more pre-selected janitorial and cleaning products and the use thereof at the locations to be cleaned.

Abstract: A battery-less heartbeat monitoring system that operates continuously using energy harvested from a low-grade heat source or small thermal gradient, such as human body heat and the gradient that exists between skin and the ambient environment in most circumstances.