Abstract: An optical multiplexing system comprises a wavelength division multiplexing (WDM) device, an incoming light input to the WDM device, and an exiting light output from the WDM device. The WDM device comprises a WDM filter, an incident light is incident at the WDM filter having an incident angle at the WDM filter. The incident light is partially transmitted through the WDM filter and partially reflected from the WDM filter. An angle formed by the incoming light and the exiting light is larger than twice of the incident angle at the WDM filter.

Abstract: Disclosed is an electrical topology of an integrated DC charging station and an operation control method. The electrical topology comprises a supply side DC bus, K discrete charging pile units and a mutual aid total DC bus; each charging pile unit comprises an input DC bus, a mutual aid sub-DC bus, an output DC bus, N isolation branches, a non-isolation DC/DC module and an output terminal, the input DC bus is connected to the supply side DC bus, and the mutual aid sub-DC bus of each charging pile unit is connected to the mutual aid total DC bus; the isolation branch comprises an output branch and a mutual aid branch; and when all the output branches of one charging pile, unit are started and the output power cannot meet the required power, the mutual aid branches of other charging pile units are started to meet the required power.

Abstract: Examples described herein provide a computer-implemented method that includes determining a kernel width for the machine learning model. The method further includes building a local interpretable linear model using the kernel width. The method further includes computing a contribution and confidence for a feature of the local interpretable linear model. The method further includes updating the local interpretable linear model to generate a final model and computing an overall confidence for the final model.

Abstract: An on-chip ultra-narrow linewidth laser and a method for obtaining a single-longitudinal mode ultra-narrow linewidth optical signal are provided in the present invention.

Abstract: A method, computer program, and computer system are provided for training a machine learning model. A feature associated with training data derived from a dataset is identified. A machine learning model is generated based on the training data. At least a portion of the training data associated with maximizing an importance value associated with the identified feature is selected. The importance value corresponds to a need associated with the machine learning model. One or more weight values is assigned to the selected portion of the training data. The machine learning model is updated based on the assigned weight values.

Abstract: The present invention provides an adhesive material with improved bonding performance to a wet substrate, the adhesive material includes a first component selected from a polysiloxane-based adhesive, or a polyurethane-based adhesive; and a second component of a catechol-containing polymeric additive which includes a reaction product of polyvinylpyrrolidone with 3?,4?-dihydroxy-2-chloroacetophenone, and the weight ratio of polyvinylpyrrolidone to 3?,4?-dihydroxy-2-chloroacetophenone ranging from 10:1 to 1:1. The adhesive material being a mixture of at least the first component and the second component, where the second component is approximately 1 wt. % to 10 wt. % of the first component.

Abstract: An embodiment includes parsing conversation data to extract a message dataset and a user dataset. The embodiment classifies the message dataset into a category using machine learning processing and identifies the category as a top category based at least in part on an amount of the conversation data associated with the category. The embodiment generates impact data associated with the user dataset based on actions in the conversation data by the user. The embodiment generates role data associated with the user by applying a rule to the conversation data for the user. The embodiment generates key index data associated with the message dataset by identifying interactions with a message represented by the message dataset. The embodiment generates output data arranged according to a specified data format that is compatible with a user interface.

Abstract: A method, a structure, and a computer system for object trail analytics. The exemplary embodiments may include obtaining time series data detailing an average speed of one or more roads within a traffic network at one or more times. The exemplary embodiments may further include extracting one or more features corresponding to the time series data, and generating one or more time series forecasting models based on the time series data and the one or more features. Additionally, the exemplary embodiments may include identifying a current location of a moving object within the traffic network, and predicting a speed of the moving object based on applying the one or more time series forecasting models to the current location.

Abstract: A pixel driving circuit and a display panel are provided. The pixel driving circuit includes a control unit to output a control signal by detecting a voltage difference between two opposite ends of a sampling resistor, and to turn on a fourth switch by the control signal. When the fourth switch is turned on, a second positive voltage received by the pixel driving circuit charges a second node to further speed up a voltage pulling up of the second node to improve a detecting speed of the pixel driving circuit.

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

Abstract: A resource determining method and apparatus, an electronic device, a storage medium, a program product, and a vehicle are provided, which are relate to interference listening and avoidance technologies of collaborative radars, and include: determining a first listening result of a first time-frequency resource set; when the first listening result meets a first congestion condition, reducing a time-frequency occupation ratio and/or transmit power of a first target detection signal to obtain a second target detection signal, wherein the first congestion condition includes: a congestion degree of any time-frequency resource in a second time-frequency resource set is greater than a first threshold, and the second time-frequency resource set is included in the first time-frequency resource set; and detecting a target based on the second target detection signal.

Abstract: A communication method applied to the communication field, and in particular, to the short-range communication field, for example, an in-vehicle wireless communication system, a smart home system, or a smart manufacturing system, includes: a first node performing channel coding on at least one CB; and the first node sending, to a second node, the at least one CB on which channel coding has been performed, where the at least one CB is a CB of a first service.

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

Abstract: Example reference signal transmission methods and apparatus are described. One example method includes that a first node maps a reference signal to a first transmission resource and sends the reference signal. The first transmission resource is included in a second transmission resource used by the first node to send data, and the second transmission resource includes a first symbol and at least one subcarrier corresponding to the first symbol. The first transmission resource includes at least one of an Mth subcarrier or an Nth-to-last subcarrier in the at least one subcarrier corresponding to the first symbol, and M and N are preset, specified in a protocol, or configured. The reference signal is used to determine phase information of a channel.

Abstract: A short-distance communication method includes: obtaining at least one piece of code data; sending a scheduling type indication and a data type indication to a second device, where the scheduling type indication indicates that the at least one piece of code data includes initially transmitted data, retransmitted data, or initially transmitted data and retransmitted data, and the data type indication indicates location information and/or an amount of a part or all of the at least one piece of code data; and sending the at least one piece of code data to the second device.

Abstract: Embodiments are disclosed for a method. The method includes determining a correlation list of missing value predictors. The method also includes generating a cluster model having multiple clusters. The cluster model is based on a target value and predictor values. The method further includes determining an imputed value for a missing value of a row of original training data based on a linear regression model for multiple non-missing value predictor values for the clusters.

Abstract: A magnetic resonance imaging method, a magnetic resonance imaging system, and a computer-readable storage medium are provided. The magnetic resonance imaging method comprises: acquiring a plurality of portions of a k-space by using a plurality of sets of imaging sequences to obtain a plurality of k-space data sets, each set of imaging sequences comprising a pre-dephasing gradient pulse and a plurality of phase encoding gradients applied after the pre-dephasing gradient pulse, wherein the pre-dephasing gradient pulses in the plurality of sets of imaging sequences have a standard area difference in order when sorted according to the sizes of area values, and the standard area difference is 2/N of the area of any phase encoding gradient, where N is the number of sets of the plurality of sets of imaging sequences; respectively reconstructing a magnetic resonance image from each of the plurality of k-space data sets; and processing the plurality of k-space data sets to obtain a magnetic resonance image.

Abstract: A magnetic resonance imaging system and method, and a computer-readable storage medium are provided. The magnetic resonance imaging method includes: acquiring a plurality of k-space data sets by using a plurality of imaging sequences, each imaging sequence comprising a pre-phase-dispersion gradient pulse and a plurality of phase encoding gradients applied after the pre-phase-dispersion gradient pulse, wherein the pre-phase-dispersion gradient pulses of the plurality of imaging sequences have a standard area difference therebetween when ordered according to area values; respectively reconstructing magnetic resonance images from the respective k-space data sets; and averaging amplitudes of the magnetic resonance images to generate a magnetic resonance image of an average amplitude.

Abstract: A method includes: mapping, by a first terminal device, first information to a first time unit and a second time unit; and sending, by the first terminal device, the first information in the first time unit and the second time unit, where the first time unit includes a first symbol including a first cyclic prefix, the second time unit includes at least one second symbol including a second cyclic prefix, a length of the first cyclic prefix is greater than a length of the second cyclic prefix, and a length of the first time unit is equal to N times a length of the second symbol including the second cyclic prefix in the second time unit.

Abstract: A data transmission method and apparatus that may be applied to short-range wireless communication, for example, a cockpit domain includes receiving at least one piece of first configuration information from a first node, where the at least one piece of first configuration information indicates at least one of a first time-domain resource or a first frequency domain resource, where the first time-domain resource or the first frequency domain resource is used to carry first data and a first reference signal, and where the first reference signal is a demodulation reference signal of the first data; and transmitting the first reference signal on a second time-frequency resource, where the second time-frequency resource does not overlap a third time-frequency resource.