Abstract: Described herein are unmanned aerial vehicles (UAVs), systems, and methods for capturing panoramic images using cameras onboard a UAV. For example, an embodiment pertains to a UAV including a flight control system, a propulsion system operatively coupled with the flight control system, and an image system comprising navigational cameras and a gimbal camera. The image system is configured to capture a first set of images of a scene using the navigational cameras, stitch the first set of images together to create a first panoramic image of the scene, identify a flight plan for capturing a second set of images with which to create a second panoramic image of the scene using the gimbal camera, capture the second set of images of the scene using the gimbal camera, and stitch the second set of images together to create the second panoramic image.

Abstract: Systems and methods for providing a dynamically scalable ADNA Manager with decentralized atomic decision making are described. The decentralized atomic decision making may be performed using atomic deterministic next action (ADNA) task blocks that execute one or more workflow rules and then invoke one or more ADNAs within a pool of ADNAs. The system includes a processor that is configured to detect that an exception ADNA has been invoked more than a threshold number of times, repair a first ADNA, add a new ADNA to the pool of ADNAs, add a new workflow rule that acquires an updated input parameter to the one or more workflow rules for the repaired first ADNA based on a number of exception ADNAs invoked by the repaired first ADNA, and invoke the new ADNA using the repaired first ADNA.

Abstract: Methods and apparatuses for providing a dynamically scalable ADNA Manager with decentralized atomic decision making are described. The decentralized atomic decision making may be performed using atomic deterministic next action (ADNA) task blocks that execute one or more workflow rules and then invoke one or more ADNAs within a pool of ADNAs. The ADNA Manager may identify a first ADNA task block, determine a set of input parameters for the first ADNA task block, detect that a first input parameter of the set of input parameters does not satisfy a qualification rule for the first ADNA task block, identify an exception ADNA task block in response to detection that the first input parameter does not satisfy the qualification rule, store breadcrumb information for the first ADNA task block within a persistence layer prior to the exception ADNA task block being invoked, and invoke the exception ADNA task block.

Abstract: A method of real time monitor and control of a dynamic environment may include obtaining image data from a camera system directed towards a portion of a dynamic environment. The method may include identifying a first object and a second object in the image data. The method may include analyzing motion of the first object relative to the second object. The method may include identifying that a defined circumstance exists in the dynamic environment based on presence of a property of in the analyzed motion that exceeds an operating threshold. Responsive to the defined circumstance existing in the dynamic environment, the method may include generating a control signal that is configured to mitigate the defined circumstance and communicating the control signal to a device related to the first object such that an operational state of the first object is modified to bring the property within the operating threshold.

Abstract: Methods and apparatuses for providing a dynamically scalable ADNA Manager with decentralized atomic decision making are described. The decentralized atomic decision making may be performed using atomic deterministic next action (ADNA) task blocks that execute one or more workflow rules and then invoke one or more ADNAs within a pool of ADNAs. The ADNA Manager may identify a first ADNA task block, determine a set of input parameters for the first ADNA task block, detect that a first input parameter of the set of input parameters does not satisfy a qualification rule for the first ADNA task block, identify an exception ADNA task block in response to detection that the first input parameter does not satisfy the qualification rule, store breadcrumb information for the first ADNA task block within a persistence layer prior to the exception ADNA task block being invoked, and invoke the exception ADNA task block.

Abstract: Methods and apparatuses for providing a dynamically scalable ADNA Manager with decentralized atomic decision making are described. The decentralized atomic decision making may be performed using atomic deterministic next action (ADNA) task blocks that execute one or more workflow rules and then invoke one or more ADNAs within a pool of ADNAs. The ADNA Manager may identify a first ADNA task block, determine a set of input parameters for the first ADNA task block, detect that a first input parameter of the set of input parameters does not satisfy a qualification rule for the first ADNA task block, identify an exception ADNA task block in response to detection that the first input parameter does not satisfy the qualification rule, store breadcrumb information for the first ADNA task block within a persistence layer prior to the exception ADNA task block being invoked, and invoke the exception ADNA task block.

Abstract: Methods and apparatuses for providing a dynamically scalable ADNA Manager with decentralized atomic decision making are described. The decentralized atomic decision making may be performed using ADNA task blocks that execute one or more workflow rules and then invoke one or more ADNAs within a pool of ADNAs. The ADNA Manager identifies a first atomic deterministic next action task block out of a pool, acquires a set of input parameters for the first atomic deterministic next action task block, detects that each input parameter of the set of input parameters satisfies a set of qualification rules, executes one or more workflow rules for the first atomic deterministic next action task block, determines a function outcome for the first atomic deterministic next action task block based on the one or more workflow rules, and stores breadcrumb information for the first atomic deterministic next action task block within a persistence layer.

Abstract: A method of producing a capacitor electrode includes forming an oxide layer on a foil. The method also includes inducing defects in the oxide layer followed by reforming the oxide layer. The oxide layer is reformed so as to generate a reformed oxide layer that is an aluminum oxide with a boehmite phase and a pseudo-boehmite phase. The amount of the boehmite phase in the reformed oxide layer is greater than the amount of the pseudo-boehmite phase in the reformed oxide layer.

Abstract: A portable steam generator includes a power source in a housing, a water tank in the housing, a heating element in the housing and configured to heat water in the water tank to produce steam using power from the power source, and a track on the housing configured to support the portable steam generator in an installation position and allow manual removal from the installation position. A pre-plumbed integrated bathroom panel includes a plumbing inlet configured to provide water to the panel, a water outlet connected to the plumbing inlet, a steam outlet connected to the plumbing inlet and a heating element, a sanitizing outlet connected to the plumbing inlet and an additive generator, valves for directing water from the plumbing inlet to the at least one water outlet, the at least one steam outlet, and the at least one sanitizing outlet, and a controller configured to operate at least the plurality of valves.

Abstract: Systems, methods, and apparatuses for providing instillation therapy with a negative-pressure source are described. The apparatus can include a housing having a dosing chamber and a negative-pressure chamber fluidly isolated from each other. The apparatus can also include a moveable barrier disposed in the housing between the dosing chamber and the negative-pressure chamber. The housing includes a fluid inlet in fluid communication with the dosing chamber and a fluid outlet in fluid communication with the dosing chamber. The housing can also include a negative-pressure inlet in fluid communication with the negative-pressure chamber and a biasing element coupled to the moveable barrier. The biasing element is operable to move the moveable barrier between a charge position and a discharge position.

Abstract: Surgical tools and assemblies are employed for use in minimally invasive surgical (MIS) procedures. A surgical tool assembly includes a handle assembly and a frame assembly. The handle assembly and frame assembly are designed and constructed to have an articulation input joint and a grounding joint between them. A pitch rotational degree of freedom and a yaw rotational degree of freedom are provided by way of the articulation input joint. The handle assembly is translationally constrained relative to the frame assembly by way of the grounding joint. Intermediate bodies and joints can be provided in certain surgical tool assemblies and architectures.

Abstract: A device for generating conversational replies, including a processor with a memory; a speech input module, a user input module; a natural language processing module including one or more encoder-decode modules; the device being configured to: record portions of a conversation through the speech input module, use a speech recognition module to identify words in the conversation, and when one or more words have been recognised: generate one or more responses based on the one or more words using the natural language processing module; selecting a group of the context sensitive responses, prompt the user via the user input module to select a response from the group, output the selected response.

Abstract: The present invention relates to anti-MASP-2 inhibitory antibodies and compositions comprising such antibodies for use in inhibiting the adverse effects of MASP-2 dependent complement activation.

Abstract: A data processing apparatus includes control flow prediction circuitry that generates a control flow prediction in respect of a group of one or more instructions. Storage circuitry used by the control flow prediction circuitry stores data in association with groups of instructions used to generate the control flow prediction for each of the groups of instructions. Control flow prediction update circuitry inserts new data into the storage circuitry in association with a new group of one or more instructions in dependence on one or more conditions being met when a miss occurs for the group of one or more instructions in the storage circuitry.

Abstract: A composition is described herein that includes a fluorosilicone, a silicon-based crosslinker, a reinforcement filler, a curing catalyst, a first non-reactive spacer filler, and a second filler comprising one or more silanol groups. Methods of using such a composition are also described.

Abstract: Methods, systems, and devices for memory with parallel main and test interfaces are described. A memory die may be configured with parallel interfaces that may individually (e.g., separately) support evaluation operations (e.g., before or as part of assembly in a multiple-die stack) or access operations (e.g., after assembly in a multiple die stack). For example, a memory die may include a first set of one or more contacts that support communicating signaling with or via another memory die in a multiple-die stack. The memory die may also include a second set of one or more contacts that support probing for pre-assembly evaluations, which may be electrically isolated from the first set of contacts. By implementing such parallel interfaces, evaluation operations may be performed using the second set of contacts without damaging the first set of contacts, which may improve capabilities for supporting a multiple-die stack in a memory device.

Abstract: Example solutions provide saliency for anchor-based object detection, and include: performing, with an object detector, a first object detection process on an image, wherein the first object detection process employs a plurality of anchor boxes; identifying an object detection result for the image; determining, from among the plurality of anchor boxes, a first anchor box associated with the object detection result; and while limiting the object detector to the first anchor box, generating, with the object detector, a saliency map for the image. In some examples, the saliency map is used for selecting further training data for the object detector. In some examples, the saliency map comprises a gradient-based saliency map, and is used for auditing or debugging the object detector.

Abstract: Example solutions provide saliency for anchor-based object detection, and include: performing, with an object detector, a first object detection process on an image, wherein the first object detection process employs a plurality of anchor boxes; identifying an object detection result for the image; determining, from among the plurality of anchor boxes, a first anchor box associated with the object detection result; and while limiting the object detector to the first anchor box, generating, with the object detector, a saliency map for the image. In some examples, the saliency map is used for selecting further training data for the object detector. In some examples, the saliency map comprises a gradient-based saliency map, and is used for auditing or debugging the object detector.