Abstract: Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and/or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and/or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).

Abstract: Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and/or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and/or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).

Abstract: Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and/or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and/or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).

Abstract: Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and/or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and/or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).

Abstract: An improved mounting block and bushing provides greater protection against accumulation of dirt, water and other contaminants that often result in cracking, abrasion and damage to heavy equipment. The assembly also permits removal and replacement of one or more seals that assist in the objectives described herein. The improved apparatus may be provided with a new piece of equipment, or may alternatively be provided to retrofit an existing piece of equipment.

Abstract: A retractor assembly that includes a base portion in slidable engagement with two or more retractor arms with at least one of the retractor arms releasably securing a retractor blade configured to be anchored to a bone anchor. The retractor blade includes an elongate blade portion with a retractor engagement portion positioned at the proximal end of the elongate blade portion and an anchor mechanism positioned at the distal end of the elongate blade portion. The anchor mechanism includes a first jaw and second jaw configured to engage the bone implant. When closed around or anchored to the bone implant—which may be a shank of a modular screw system—the components of the modular screw are able to be assembled to the shank without adjusting, loosening, or opening the anchor mechanism.

Abstract: A method of operating an oven appliance includes determining that an access control mode is enabled, determining that a period of inactivity has occurred while the access control mode is enabled, activating the access control mode, the access control mode comprising providing a limited user interface input selection, detecting a user interaction with the oven appliance, determining that the user interaction is not in compliance with the access control mode, and implementing a responsive action in response to determining that the user interaction is not in compliance with the access control mode.

Abstract: Devices, systems, and methods for software-defined cognitive networking for wireless communications are provided. An example method of wireless communication includes performing, at a first node of a plurality of nodes, multiple network interference measurements to generate a first local interference model, receiving, from a second node of the plurality of nodes, a second local interference model, combining, at the first node, the first local interference model and the second local interference model to generate a joint interference model, generating, based on the joint interference model, a plurality of interference parameters that characterize a communication channel between the first node and the second node, selecting, based on the plurality of interference parameters, an operating waveform from a plurality of waveforms such that a performance metric for a data communication from the first node to the second node exceeds a threshold, and performing, using the operating waveform, the data communication.

Abstract: A system and method are provided for providing advisory notifications to mobile applications. The method includes interfacing the server device with at least one endpoint within an enterprise system and storing a model trained by a machine learning engine to automatically determine advisory notifications relevant to client data sets stored by the endpoint(s) and/or the at least one endpoint. The method also includes determining a current state of a client account, using the model to determine an advisory notification for the client account based on the current state, referring to a set of rules to determine when to provide the advisory notification in the mobile application, and in what portion of the mobile application to display the notification; and sending the advisory notification via the communications module to a client device to display the advisory notification in the mobile application.

Abstract: Techniques for adjusting light direction and light intensity from streetlights in an environment. For example, a streetlight may include an adjustable light source that can be configured to cast light based on its specific installation environment, taking into account height (e.g., a height of a pole coupled with the streetlight relative to a surface of the environment), an angle in which the streetlight is coupled to the pole, a type of surface being lit (e.g., blacktop, concrete, grass, etc.), an amount of light present from surrounding fixtures (e.g., streetlights), and/or an intended area to illuminate (light only streets and sidewalks, light only parking lot, light only walking paths, etc.).

Abstract: Techniques for adjusting light direction and light intensity from streetlights in an environment. For example, a streetlight may include an adjustable light source that can be configured to cast light based on its specific installation environment, taking into account height (e.g., a height of a pole coupled with the streetlight relative to a surface of the environment), an angle in which the streetlight is coupled to the pole, a type of surface being lit (e.g., blacktop, concrete, grass, etc.), an amount of light present from surrounding fixtures (e.g., streetlights), and/or an intended area to illuminate (light only streets and sidewalks, light only parking lot, light only walking paths, etc.).

Abstract: Techniques for managing pedestrian and vehicular congestion are described herein. In an example, a congestion event at a location is identified. The congestion event may be a sporting event, entertainment event, road construction event, etc. A primary route to or from the congestion event is identified. In examples, a primary route conveys traffic to the location, and may be associated with commencement of the event. Alternatively or subsequently, a primary route conveys traffic away from the location, and may be associated with a conclusion of the event. A secondary route that could lessen traffic of the primary route is identified. In a first example, durations of vehicle traffic lights and pedestrian walk/don't walk signs are adjusted to encourage and to increase usage of the secondary route. In a second example, the secondary route is promoted by updating digital signage to send traffic on the secondary route.

Abstract: An electric heating assembly may include a sheath, a resistive wire, and a thermally conductive electrical insulation. The sheath may define an enclosed volume along a longitudinal length between a first end portion and a second end portion. The resistive wire may be disposed within the enclosed volume to generate heat in response to an electrical current. The thermally conductive electrical insulation may be radially positioned between the resistive wire and the sheath. A radially covered vent channel may be defined to extend from the thermally conductive electrical insulation in fluid communication with an area outside of the sheath.

Abstract: Systems and methods for treating fluid stasis employ an airstream to move static fluid to one or more natural drainage areas for static fluid. A system for treating fluid stasis includes an airstream nozzle and an airflow generator for supplying an airflow to the airstream nozzle. The airflow nozzle is configured to output an airstream configured to be directed onto a patient to induce shear-thinning of static fluid and movement of static fluid toward one or more natural drainage areas for static fluid.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media for predicting delays in carrier shipping services. A method includes: obtaining stock information from an inventory management system of a customer, wherein the stock information includes identification of products stocked at different locations; obtaining shipment information from a shipment management system, the shipment information including sources of the products stocked at different location and tracking information for the products from the sources; and providing a user interface comprising the stock information, shipment information, environmental impact information, and shipment performance information into a single view based on an operation view or an executive summary view.

Abstract: A device for calibrating a conveyor belt and measuring full belt length for predictive failure/maintenance of the belt. The device comprises a housing with a remote controller assembly. The remote controller is secured to the housing for storage and shipping. When the remote controller is detached, a sensor encoder assembly using wheels is deployed for use in the calibrate procedure. The housing is set adjacent a conveyor belt using a support having a polyaxial coupling wherein wheel encoder sensors are set onto the conveyor belt that is to be measured. Jogging the conveyor belt at set intervals, the encoder sensor assembly self-aligns while measuring the distance traversed and calculates the appropriate length correcting or speed that can be inputted to a conveyor belt control system. An attached reflective marking can be used in combination with an IR sensor to measure sizes to enhance the ability to predict failure/maintenance.

Abstract: An automated irrigation system includes a plurality of sections of irrigation pipe. A wireless communication module is coupled to one or more of the sections of irrigation pipe. A central processing system is in communication with the wireless communication module. A plurality of wireless automated gated pipe valve assemblies are coupled to the one or more of the sections of irrigation pipe. Each of the wireless automated gated pipe valve assemblies includes one or more gate valves. Operation of the one or more gate valves is controlled by the central processing system.

Abstract: Described herein are computer-implemented systems, methods, and apparatuses for predicting classifications for image data, the system comprising a processor, memory and storage, and configured to: receive at least one image data sample; generate, using a deep neural network, for each image data sample, an activation layer comprising a set of activation vectors; perform activation vector correspondence for at least one of the activation vectors based on activation vector distance and conditioned by non-image data; and predict at least one classification for each image data sample based on the activation vector correspondence.

Abstract: A system and method for personalized diagnosis of human body surface conditions from images acquired from a mobile camera device. In an embodiment, the system and method is used to diagnose skin, throat and ear conditions from photographs. A system and method are provided for data acquisition based on visual target overlays that minimize image variability due to camera pose at locations of interest over the body surface, including a method for selecting a key image frame from an acquired input video. The method and apparatus may involve the use of a processor circuit, for example an application server, for automatically updating a visual map of the human body with image data. A hierarchical classification system is proposed based on generic deep convolution neural network (CNN) classifiers that are trained to predict primary and secondary diagnoses from labelled training images.

Abstract: A transparent lamp strip and a flame lamp of the transparent lamp strip are provided. A substrate is made of a transparent FPC material. A printed circuit is printed on the surface of the transparent FPC material. SMDLED lamp beads are fixedly arranged on the surface of the substrate and are electrically connected to a main control unit via the printed circuit. A light strip realizes the visual effect of simulating the flame and can realize 360° C. light emission, which makes the visual effect smoother.