Abstract: An apparatus for a communication device, the apparatus may include a processor configured to: obtain channel metrics for a plurality of radio communication channels, each obtained channel metric is associated with a respective radio communication channel of the plurality of radio communication channels, generate a plurality of channel hopping sequences, each channel hopping sequence is representative of an allocation of the plurality of radio communication channels for a plurality of time slots, wherein a number of time slots allocated for each radio communication channel within each channel hopping sequence is based on the respective obtained channel metric, and select one of the plurality of channel hopping sequences based on a predefined criterion to communicate with a further communication device.

Abstract: A universal snack dispenser capable of providing crisp snacks to customers offers a touchless experience and delivers a sufficient amount of the snacks independent of the type and container.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.

Abstract: A system and method for automating and improving data extraction from a variety of document types, including both unstructured, structured, and nested content, is disclosed. The system and method incorporate an intelligent machine learning model that is designed to intelligently identify chunks of text, map the fields in the document, and extract multi-record values. The system is designed to operate with little to no human intervention, while offering significant gains in accuracy, data visualization, and efficiency. The architecture applies customized techniques including density-based adaptive text clustering, tabular data extraction based on hierarchical intelligent keyword searches, and natural language processing-based field value selection.

Abstract: The disclosure describes techniques that enable detection of memory leaks of software executing on devices within a computer network. An example network device includes memory and processing circuitry. The processing circuitry monitors a usage of the memory by a software component operating within the network device. The processing circuitry periodically determines a memory growth pattern score for the software component based on the usage of the memory. The processing circuitry also predicts whether the user-level process is experiencing a memory leak based on the memory growth pattern score. The processing circuitry applies confirmation criteria to current memory usage of the software component to confirm that the software component is experiencing the memory leak. When the software component is experiencing the memory leak, the processing circuitry generates an alert.

Abstract: A wireless access point comprises a memory; and one or more processors operably coupled to the memory configured to: receive a first packet for an application; configure an initial packet flow for the application including a first forwarding action to send traffic for the application via a tunnel path; learn the application of the first packet; generate, based on a policy of the application, an entry in an application server address cache specifying an address of the application server and a second forwarding action to send traffic for the application via a local breakout path; receive a second packet for the application; and configure, in response to determining that a destination address of the second packet matches the entry in the application server address cache, a subsequent packet flow for the application including the second forwarding action to send traffic for the application via the local breakout path.

Abstract: Described embodiments provide systems and methods for intelligent load balancing of hosted sessions. A processor can determine a plurality of metrics for each of a plurality of machines configured to connect client devices with hosted sessions. The processor can receive, from a client device, a request to establish a connection with one of the plurality of machines to access a hosted session. The processor can determine a score for each of the plurality of machines based at least on the plurality of metrics for each of the plurality of machines. The processor can select a machine from the plurality of machines as a function of the score and a resource cost of the machine. The processor can cause the client device to connect to the selected machine for the hosted session.

Abstract: This disclosure provides systems, methods, and devices for wireless communications that support downconversion of signals with improved harmonic rejection. In a first aspect, an apparatus includes a first plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase; a second plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase, wherein a combined load of the first plurality of mixers and the second plurality of mixers on the plurality of oscillating signals is symmetric as to each oscillating signal of the plurality of oscillating signals; and a shared capacitor coupling the RF input to the first plurality of mixers and the second plurality of mixers. Other aspects and features are also claimed and described.

Abstract: Techniques regarding determining sufficiency of one or more machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in memory. The computer executable components can comprise a measurement component that measures maximum deviation of a supervised learning model from a reference model over a certification set and an analysis component that determines sufficiency of the supervised learning model based at least in part on the maximum deviation.

Abstract: A switching unit (200) including a membrane (202), a housing (210), at least one rotary switch (204), at least one knob (216), and a sealing member (214). The membrane (202) defines a first opening (230) adapted to receive a portion of at least one rotary switch (204). The housing (210) defines a second opening adapted to be aligned with the first opening (230) to receive the portion of the at least one rotary switch (204). The at least one rotary switch (204) is disposed in the housing (210). The at least one knob (216) mounted on the at least one rotary switch (204). The sealing member (214) is positioned on the housing (210) in the second opening (231), around the at least one rotary switch (204), between the at least one knob (216) and the housing (210).

Abstract: A method for capturing videos and/or images of a target area using a single camera configured with an aerial vehicle (AV) is disclosed including the steps of moving the AV over the area of interest along a straight path; capturing a first set of images of an area down below by pointing an optical axis of the camera towards a first side of the straight path such that the optical axis makes a first set of predefined angles with vertical; and capturing a second set of images of the area down below by pointing the optical axis of the camera towards a second side of the straight path such that the optical axis makes a second set of predefined angles with respect to the vertical. Side overlap between the first and second set of images is optimized to account for error in camera movement.

Abstract: A system and method for rendering a plurality of user interface (UI) components of a UI screen based on a priority order is conducted by receiving a request to load the UI screen, each component of the UI screen being associated with a priority order, creating a data structure for rendering the UI components in accordance with the priority order, the data structure including a list of the UI components in an order in which they should be rendered, generating an event for rendering a first UI component in the data structure, receiving an indication that the first UI component has been rendered, responsive to receiving the indication that the first UI component has been rendered, moving to a next UI component in the list to render and continuing with the rendering of the UI components in accordance with the list until all UI components in the list have been rendered.

Abstract: A computer-implemented system and method of generating a graph representation of a scene comprising receiving sensor data representative of a perceived scene captured with a sensor; defining a plurality of nodes based on the received sensor data; creating a densely connected graph by connecting each node to a number of nearest neighbour nodes; predicting, for each pair of connected nodes of the densely connected graph, at least a node probability, wherein the node probability represents a probability that the pair of connected nodes represent the same object; and generating a graph representation of the perceived scene based at least on the densely connected graph, and the predicted node probability. The method may also be applied to two or more observations of a scene.

Abstract: Embodiments include a method of storing digital data in a blockchain by receiving the digital data from a user, deduplicating the data in a deduplication system of the user to form deduplicated data, and encoding the deduplicated data into an array format for storage on a blockchain. A smart contract is deployed for deduplication on the destination side of the data, and the deduplicated data is encoded into a Binary Aligned Map (BAM) format for storage on the blockchain. A process on the destination side stores the deduplicated array data as a next block in the blockchain only if the next block agrees with the smart contract, and the blockchain is stored in system storage comprising hard disk, solid state, tape, or optical devices.

Abstract: A sintering powder comprising copper particles, wherein: the particles are at least partially coated with a capping agent, and the particles exhibit a D10 of greater than or equal to 100 nm and a D90 of less than or equal to 2000 nm.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: A multi-tube burner system for efficient mixing of fuel and air for combustion is disclosed. The multi-tube burner system includes an air supply plenum, a multi-tube burner, and a combustor. Further, the multi-tube burner includes a set of tubes including the air supply section to receive combustion air and supply the received combustion air to a mixing section. Furthermore, the multi-tube burner includes a set of fuel pipes to receive fuel from a set of fuel inlets and supply the received fuel to a set of fuel plenums. Furthermore, a pair of fuel receiving channels receive the fuel from the set of fuel plenums and a fuel injector pin injects the received fuel from the pair of fuel receiving channels to the mixing section. Further, a set of mixing holes allow egression of the combustion air and the fuel mixture from the mixing section to the combustor.

Abstract: A hot dog bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, a filling, a bun and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited to delivery of health ingredients.

Abstract: An everything bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, an aperture, a filling and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited for the delivery of healthy ingredients.

Abstract: A hamburger bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, a filling, a bun and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited for the delivery of healthy ingredients.