Abstract: A modular hopper assembly is provided and includes a plurality of pre-fabricated upper hopper modular units, a plurality of pre-fabricated middle hopper modular units, a plurality of pre-fabricated lower hopper modular units and a plurality of support members configured as a base, where the upper hopper modular units, the middle hopper modular units and the lower hopper modular units are each assembled, and then the assembled upper hopper modular units, the assembled middle hopper modular units and the assembled lower hopper modular units are connected together to form a hopper, where the hopper is mounted on the base.

Abstract: A device may receive mobile radio data identifying utilization of a mobile radio network that includes base stations and user devices in a geographical area. The device may process the mobile radio data, with a machine learning feature extraction model, to generate a behavioral representation, that is probabilistic in nature, of invariant aspects of spatiotemporal utilization of the mobile radio network. The device may generate one or more instances of the spatiotemporal utilization of the mobile radio network that reflects the probabilistic nature of a spatiotemporal predictable component of the behavioral representation. The device may utilize the one or more instances of the spatiotemporal utilization of the mobile radio network as a dataset for training or evaluating a system to manage performance of the mobile radio network.

Abstract: An anomaly detecting unit detects an anomaly object in a target image. A characteristic amount watching unit watches at least two basic characteristic amounts of the anomaly object, determines whether values of the basic characteristic amounts satisfy a predetermined watching determination condition of any one of predetermined plural anomaly types or not, if it is determined that the values of the basic characteristic amounts satisfy the watching determination condition, determines as an auxiliary characteristic amount for the anomaly object a characteristic amount corresponding to the anomaly type of which the values of the basic characteristic amounts satisfy the watching determination condition, and starts watching a value of the auxiliary characteristic amount. An anomaly type determining unit determines an anomaly type of the anomaly object on the basis of the basic characteristic amounts and the auxiliary characteristic amount currently watched by the characteristic amount watching unit.

Abstract: A refrigerator appliance having a cabinet defining a chamber and a rotatably hinged door to at least partially seal the chamber or provide access to the chamber. The cabinet includes an induction coil and the door includes a heat pipe to provide a wireless anti-condensation system to a refrigerator mullion.

Abstract: An electronic apparatus for detecting distances from the electronic apparatus to external objects is provided, the apparatus comprising a substrate, a light receiving sensor of a distance measurement sensor arranged over the substrate, one or more light sources arranged over the substrate, a first lens arranged over a first one of the light sources and arranged to direct light emitted by the first light source, a second lens arranged over the light receiving sensor and configured to direct light received by the second lens onto the light receiving sensor of the distance measurement sensor, and a transparent member arranged between the second lens and the light receiving sensor and configured to transmit the light directed by the second lens onto the light receiving sensor, and reflect light from at least one of the light sources onto the light receiving sensor of the distance measurement sensor, a lens holder.

Abstract: A device may receive digital content and may process the digital content, with at least one of an optimization-based poisoning model or a statistical-based poisoning model, to generate at least one of first poisoning data or second poisoning data, respectively. The device may generate new digital content based on the digital content and the at least one of the first poisoning data or the second poisoning data. The device may provide the new digital content to one or more devices to be accessed by at least one deepfake model used to create fake digital content and may perform one or more actions based on the new digital content.

Abstract: Imaging devices with increased numbers of parallel analog-digital converters with maintained chip size are disclosed. In one example, an imaging device has a stacked chip structure including semiconductor chips of first through third layers. A pixel array is formed on the semiconductor chip of the first layer. An analog circuit of an analog-digital converter is disposed on the semiconductor chip of the second or third layer. A digital circuit of the analog-digital converter is disposed on the other of the semiconductor chip of the second or third layer.

Abstract: A positive electrode active material includes a lithium transition metal oxide and a coating element M3-containing coating layer formed on a surface of the lithium transition metal oxide, wherein M3 comprises at least one of Al, Ti, Mg, Zr, W, Y, Sr, or Co, wherein the lithium transition metal oxide is doped with a doping element M2, wherein M2 includes at least one of Al, Ti, Mg, Zr, W, Y, Sr, Co, F, Si, Na, Cu, Fe, Ca, S, or B, wherein the lithium transition metal oxide has a single particle form, and includes a center portion having a layered structure and a surface portion having a rock-salt structure, and the total amount of the doping element M2 and the coating element M3 is in a range of 4,580 ppm to 9,120 ppm based on a total weight of the positive electrode active material.

Abstract: The data transformation method operates discrete input data sources DF-in each having df-in data fields carrying to-be-converted data (tbc-data). Initial steps identify tbc-data field and characteristics; output discrete output (df-out) with predefined df-out data fields for converted data (conv-data); and maps or look-up tables for relationships between df-in data fields and df-out data fields. Process activates: SFTP App in the presence df-in and transfers df-in to unstructured data blob; and App copying the df-in from blob to file share archive; first orchestrating sequence App to validate df-in data based upon conversion rules. If INVALID, App generates error entry. If VALID, App converts tbc-data into conv-data with conversion rules and mapping orchestrating App populates df-out data fields with conv-data resulting converted df-out in the blob. A second orchestrating App transfers converted df-out to destination store.

Abstract: According to an update procedure for a network of interconnected nodes, a node keeps track of markers received on the node's incoming channels, transmits a marker on each outgoing channel (if any exist), and updates its node configuration from an old configuration to a new configuration. In one version of the update procedure, the node updates its configuration and transmits markers after receiving its initial incoming marker. In another version for acyclic networks, the node updates its configuration and transmits markers after receiving its final incoming marker. The node determines how to handle (i.e., process, queue, or drop) each incoming data packet based on (i) whether or not it has updated its node configuration yet and (ii) whether or not it has received a marker on the corresponding incoming channel yet. A controller initiates the update process at a subset of nodes that ensures eventual completion of the update process.

Abstract: A defense system that receives information regarding an incoming object(s), then automatically coordinates spoofing or jamming of SATNAV signals potentially used by the incoming object(s) while also informing friendly systems of the spoofing or jamming of SATNAV signal.

Abstract: A clamping circuit comprises a first field-effect transistor (FET) having a gate, a source, and a drain, a diode, a first voltage source, and coupling circuitry configured to couple the first voltage source to the drain of the first FET and the diode to the source of the first FET.

Abstract: Methods of extracting ribonucleic acid from plant tissue involve treating multiple groups of plant seeds with different plant growth regulators. Each group of plant seeds can be treated with a different plant growth regulator. Methods further involve germinating the plant seeds to form seedlings, harvesting tissue samples from subgroups within each group of plant seeds and seedlings at different timepoints, and extracting total RNA from each harvested tissue sample. Methods can also involve sequencing the extracted RNA, determining an expression level of a plurality of genes relative to a negative control, and identifying a subset of differentially expressed genes at each distinct timepoint.

Abstract: A coupling system in an integrated circuit to block DC components from an amplifier without large costly external coupling capacitors. An input receives an input signal which has a DC component. A first impedance element receives the input signal and blocks the DC component while a second impedance element connects between the output of the first impedance matching element and a ground node. The second impedance element and the first impedance element form a voltage divider network. The first and second impedance element are integrated elements. The amplifier receives the input signal after the DC component is blocked. The first impedance element and the second impedance element may comprise a resistor in series with a capacitor. In a differential pair configuration, an impedance matching element interconnects between a first path and a second path to impedance match the amplifier to a data source.

Abstract: In an image forming apparatus, a correction processing unit prints a test pattern using a recording head, determines ink ejection malfunction positions on the basis of a scanned image of the test pattern, sets one of first and second correction modes for each of the ink ejection malfunction positions in accordance with a density of the ink ejection malfunction position on the basis of the scanned image, and performs the correction process for the ink ejection malfunction position in the set first or second correction mode. In the first correction mode, the correction process is performed for both a nozzle corresponding to the ink ejection malfunction position and an adjacent nozzle of the nozzle. In the second correction mode, the correction process is not performed for the nozzle corresponding to the ink ejection malfunction position but is performed for the adjacent nozzle.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning (ML) to forecast energy demand and to generate an energy plan for one or more facilities of an organization. For example, a system may forecast an occupancy of the facilities for use with historical demand data in forecasting the energy demand. The forecasting may be performed by one or more trained ML models. Additional ML models may be trained to select energy resources that satisfy the forecasted energy demand and that prioritize constraint(s). The system may generate an energy plan that indicates information related to the selected energy resources, such as cost, energy type, environmental impact, etc., for use in increasing an amount of renewable energy resources used at the facilities. In some implementations, the system may recommend actions to reduce a negative environmental impact associated with the selected energy resources.

Abstract: A computing device includes one or more processors, a first random access memory (RAM) comprising magnetic random access memory (MRAM), a second random access memory of a type distinct from MRAM, and a non-transitory computer-readable storage medium storing instructions for execution by the one or more processors. The computing device receives first data on which to train an artificial neural network (ANN) and trains the ANN by, using the first RAM comprising the MRAM, performing a first set of training iterations to train the ANN using the first data, and, after performing the first set of training iterations, using the second RAM of the type distinct from MRAM, performing a second set of training iterations to train the ANN using the first data. The computing device stores values for the trained ANN. The trained ANN is configured to classify second data based on the stored values.

Abstract: A mail item sortation system and method that includes an external controller for culling candidate letters in a mailing job to produce groupings of letters based on industry average weights and/or thicknesses in order to place all the candidate letters going to a single address adjacent to each other, an internal controller, interfaced with the external controller, that utilizes the groupings of letters to manage multiple letter sorters, wherein a specific letter sorter is selected to pair a calculated number of pockets to accommodate the groupings with an actual number of pockets in the selected letter sorter, and a transfer process for moving letters within the letter sorter pockets to a StatementPack machine.

Abstract: A medical image processing apparatus includes a control unit configured to cause, based on a detection result of at least one trocar into which a medical instrument is inserted, the at least one trocar being configured to detect a first state and a second state, the first state and the second state indicating an insertion state of the medical instrument into a subject, a display device to display at least one of a first image generated by capturing an image of an observation object inside the subject and a second image of the observation object inside the subject, the second image being previously acquired.

Abstract: There is provided an information processing device that processes detection information of an external recognition sensor. The information processing device includes: a recognition unit that performs recognition processing on an object on the basis of a detection signal of the sensor; and a processing unit that performs fusion processing on first data before the recognition by the recognition unit and another data. The information processing device further includes a second recognition unit that performs recognition processing on the object on the basis of a detection signal of a second sensor. The processing unit performs fusion processing on third data before the recognition by the second recognition unit and the first data, fusion processing on fourth data after the recognition by the second recognition unit and the first data, and the like.