Abstract: Embodiments of the present disclosure relate to devices, methods, apparatus, and medium for recurrent spiking neural network based equalization and demapping. A first communication device is configured to: obtain at least one parameter for a recurrent spiking neural network at the first communication device, wherein the at least one parameter is generated based on channel condition information between the first communication device and a second communication device; configure the recurrent spiking neural network based on the at least one parameter; and perform equalization and demapping on a signal received from the second communication device based on the recurrent spiking neural network. In this way, embodiments of the present disclosure provide a method for recurrent spiking neural network based equalization and demapping, thereby implementing a solution of a low power consumption joint equalization and demapping.

Abstract: A method, computer system, and a computer program product for text corpus concreteness modification are provided. A computer performs natural language processing to determine a concreteness level of a first individual sentence of a text corpus. The computer generates, based on the natural language processing, a proposed change of the individual sentence. The individual sentence with the proposed change includes a modified concreteness level and preserves a general meaning of the individual sentence. The computer transmits the proposed change for presentation of the proposed change.

Abstract: A directly-connected high-voltage battery energy storage system (BESS) and a control method thereof are provided. The directly-connected high-voltage BESS includes a battery module, a direct current (DC)/DC converter, a DC bus capacitor, a DC/alternating current (AC) converter, and a grid-side filter inductor. A plurality of battery modules is connected in series to form a battery cluster. The battery cluster is connected in series to the DC/DC converter to form a battery branch, and a plurality of battery branches is connected in parallel to form a battery stack. The battery stack is connected in parallel to the DC bus capacitor and then connected to a DC port of the DC/AC converter to form a battery energy storage submodule. AC ports of a plurality of battery energy storage submodules are connected in series to form a chain-type phase converter.

Abstract: A method is disclosed. The method comprises receiving, by a server computer comprising an auto-encoder module, a first dataset containing first feature values corresponding to features of an interaction. The first dataset may be input into the auto-encoder module. The auto-encoder module may output a second dataset, the second dataset containing a second feature values corresponding to features of the interaction. The server computer may then compute a feature deviation dataset using the first dataset and the second dataset. The method can then comprise determining a type of activity based on the feature deviation dataset.

Abstract: Methods, systems, and devices for wireless communications are described. Multiple component carriers may be configured for communications between communication devices, where uplink data channel resources may be scheduled on a component carrier of the component carriers. A communication device may report, over the uplink data channel resources to another communication device, a first report for available transmission power for uplink data transmissions over the component carrier and a second report associated with available transmission power for uplink control transmissions over a second component carrier. The other communication device may use the second report to determine the available transmission power for uplink control transmissions over the second component carrier. The other communication device may schedule communication resources based on the determined available transmission power for uplink control transmissions.

Abstract: In one embodiment, a method includes accessing sensory data captured by cameras, identifying people in a field of view of the cameras based on facial recognition of the sensory data, detecting actions of one or more of the people based on the sensory data, generating media files with each being associated with one or more of a recording of at least one of the people or at least one of the determined actions, and sending instructions for presenting one or more of the media files to a client system.

Abstract: Data reads and related data reading processes are described. An example data read method includes: receiving a data read request, the data read request being aimed at target node data stored in a target node of a B+ tree; acquiring node location information, the node location information indicating a storage location of node data in a node data set of the B+ tree, and the node data set including the target node data; and determining a target storage location of the target node data. Beneficially, data stored in the B+ tree can be read and updated efficiently while reducing computing overhead.

Abstract: A composite ceramic including: a lithium garnet major phase; and a grain growth inhibitor minor phase, as defined herein. Also disclosed is a method of making composite ceramic, pellets and tapes thereof, a solid electrolyte, and an electrochemical device including the solid electrolyte, as defined herein.

Abstract: Embodiments relate to methods, systems, and computer program products for path management in a processing system. In a method, in response to receiving a request for adding a target controlling unit into a processing system, a plurality of network nodes in the processing system are divided into a group of subnets based on a topology of the plurality of network nodes, the plurality of network nodes being connected to at least one controlling unit in the processing system. A workload estimation is determined, the workload estimation representing a workload to be caused by the target controlling unit to the processing system. A target subnet is selected from the group of subnets for connecting the target controlling unit into the processing system based on the workload estimation. With these embodiments, the target subnet may be selected in an automatic way such that the performance of the processing system may be increased.

Abstract: A 4K high-resolution panoramic annular optical system includes a panoramic annular lens head unit, a subsequent lens group, and a 4K sensor (SE) that is coaxially installed. The panoramic annular lens head unit includes a first lens (PALIPAL1) and a second lens (PAL2). The subsequent lens group includes a third lens (RL1), a fourth lens (RL2), a fifth lens (RL3), a sixth lens (RL4), a seventh lens (RL5), an eighth lens (RL6), and a ninth lens (RL7) that are arranged in order from an object plane to an image plane. The first lens (PAL1) and the fifth lens (RL3) are meniscus glass lenses with positive refractive power. The six lens (RL4) and the ninth lens (RL7) are meniscus glass lenses with negative refractive power, and the second lens (PAL2), the fourth lens (RL2), the seventh lens (RL5), and the eighth lens (RL6) are biconvex lenses with positive refractive power.

Abstract: A method and a system for initial self-healing type classification of metallized film capacitors, which relate to the technical field of high-voltage capacitors.

Abstract: A wastewater treatment device has: an ozone generator which supplies ozone; a mixer which mixes ozone supplied from the ozone generator with wastewater and supplies ozone mixed wastewater; an ozone oxidation unit which progresses ozone oxidation in the ozone mixed wastewater while passing the ozone mixed wastewater therethrough and discharges wastewater in which the ozone has been consumed; a biological treatment unit which performs biological treatment on the wastewater discharged from the ozone oxidation unit using microorganisms; and an adjusting device which adjusts the amount of ozone to be mixed with the wastewater by the mixer so that ozone in an amount that inhibits the microorganisms of the biological treatment unit does not remain in the wastewater discharged from the ozone oxidation unit.

Abstract: Various aspects involve a monotonic recurrent neural network (MRNN) trained for risk assessment or other purposes. For instance, the MRNN is trained to compute a risk indicator from a predictor variable. Training the MRNN includes adjusting weights of nodes of the MRNN subject to a set of monotonicity constraints, wherein the set of monotonicity constraints causes output risk indicators computed by the RNN to be a monotonic function of input predictor variables. The trained monotonic RNN can be used to generate an output risk indicator for a target entity.

Abstract: A display apparatus includes a picture generation unit, a transflective member, and a curved mirror. The picture generation unit is configured to generate imaging light including image information and project the imaging light to the transflective member, the transflective member is configured to reflect the imaging light to the curved mirror, the curved mirror is configured to reflect received imaging light to the transflective member, and the transflective member is further configured to transmit the imaging light reflected by the curved mirror.

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

Abstract: A method and system are disclosed for detecting microbial pathogens in a sample suspected of containing the pathogens. The method includes combining loop-mediated isothermal amplification (LAMP) reagents and a polymer gel, such as a hydrogel, together with the sample to form a mixture. The gel polymerizes over a short time to immobilize the viral particles within the mixture. If target DNA/RNA are present in the sample, amplicons are produced. The target microorganisms are detected by visually detecting the presence or absence of the amplicons. The target microorganism concentrations may be determined based on the number of fluorescent amplicon dots after the reaction using a smartphone or a fluorescent microscope. The method may be employed for rapidly and inexpensively quantifying microbial pathogens in environmental water samples with high sensitivity.

Abstract: A heterojunction cell and a processing method thereof, and a battery assembly are provided. The heterojunction cell includes a substrate, a TCO film layer is provided on both a front surface and a back surface of the substrate, and at least two columns of short main gates with the same number are disposed at intervals on the TCO film layer of both the front surface and the back surface of the substrate, the short main gates located on the front surface of the substrate are defined as first main gates; the short main gates located on the back surface of the substrate are defined as second main gates; and the substrate is capable of being cut to form battery slices, each of the battery slices is provided with one column of the first main gates and one column of the second main gates.

Abstract: Various aspects involve a lagged prediction model trained for risk assessment or other purposes. For instance, a risk assessment computing system receives a risk assessment query for a target entity and provides an input predictor record for the target entity to a lagged prediction model. The input predictor record includes a first group of lagged values from a first time-series attribute associated with the target entity. The lagged prediction model is trained by implementing a group feature selection technique configured to select the first time-series attribute as input and to deselect a second time-series attribute associated with the target entity. The risk assessment computing system computes an output risk indicator from the input predictor record and transmits the output risk indicator to a remote computing system. The output risk indicator can be used to control access by the target entity to one or more interactive computing environments.

Abstract: Systems and methods for automated historical risk assessment for risk mitigation in online access control are provided. An entity assessment server can receive a request to assess a risk indicator change from a first risk indicator to a second risk indicator. For each attribute used to generate the first risk indicator and second risk indicator, a first impact can be determined for changing from the first risk indicator to a third risk indicator between the first risk indicator and the second risk indicator. A second impact similarly can be determined for changing from the third risk indicator to the second risk indicator. Aggregating the first impact and the second impact can determine a total impact of each attribute. Assessment results can be generated to include a list of attributes ordered according to the respective total impact and transmitted to a remote computing device for use in improving the risk indicator.

Abstract: An optical network unit is configured to send a plurality of optical signals with different wavelengths to an optical line terminal. The optical signals in the plurality of optical signals carry indicating information. The indicating information is used to indicate the wavelength serial number of the optical signal and the temperature information of the laser chip when the optical signal is generated. The optical unit is further configured to receive temperature adjustment information from the optical line terminal; and adjust, based on the temperature adjustment information, the emission wavelength of the laser by adjusting the temperature of the laser chip.