Abstract: A processor may identify a first plurality of transformation nodes from a machine learning pipeline. The processor may couple the first plurality of transformation nodes in series to obtain a sequence of transformation nodes. The processor may select a first transformation node and a second transformation node from the sequence of transformation nodes based on at least one of an input data size and output data size of each of the first plurality of transformation nodes, the second transformation node being subsequent and adjacent to the first transformation node in the sequence of transformation nodes. The processor may obtain an optimized machine learning pipeline by coupling a second plurality of transformation nodes from the machine learning pipeline between the first transformation node and the second transformation node in the sequence of transformation nodes.

Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Abstract: Techniques perform file storage. Such techniques involve determining a candidate allocation unit (AU) size for storing data based on a statistic of an AU size matching with a write request during a statistic period, and storing a new file using the determined candidate AU size to store the new file. Accordingly, storage space is saved and reading and writing performance are improved.

Abstract: Data segmentation, analysis, and security is provided. An analysis of a set of generated data evolution paths corresponding to a set of data collected over a defined span of time is performed. A behavior trend is determined based on analysis of the set of generated data evolution paths. A set of action steps is performed automatically based on the determined behavior trend.

Abstract: Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.

Abstract: Feature importance is critical to understanding how predictive models produce accurate results, and can change significantly for different models. The present invention is used to achieve a good ranking for stable feature importance. An optimized technique is presented which considers feature importance value variation within different groups of cross-trained models. Feature importance is computed for all group models with this optimized method, and then a best set of models can be selected based on classification error as well as optimized stable feature importance values.

Abstract: A method, computer program product, and computing system for receiving a plurality of lock sequences associated with a plurality of objects of the computing device. A plurality of matrices may be generated for each lock sequence of the plurality of lock sequences, thus defining a plurality of lock sequence matrix towers. The plurality of lock sequence matrix towers may be combined, thus defining a combined lock sequence matrix tower. One or more lock sequence conflicts may be identified within the plurality of lock sequences based upon, at least in part, the combined lock sequence matrix tower.

Abstract: A frequency band state determining method and a related device are provided. The method includes: A detection apparatus determines an intermediate frequency signal based on a detected interfering signal in an environment and an oscillation signal that belongs to a first frequency band. The detection apparatus performs first processing on the intermediate frequency signal, to obtain a first detection result, and when the first detection result indicates that the first frequency band is busy, the detection apparatus performs second processing on the intermediate frequency signal, to obtain a second detection result. The detection apparatus determines a state of the first frequency band based on the second detection result. The detection apparatus may be a radar, and the radar may work in a use scenario of a cooperative radar.

Abstract: The present disclosure provides a robot, a control method for robot and a storage medium, the robot includes a memory, a processor and a computer program stored on the memory and running on the processor, and when the processor executes the computer program to obtain, material information of a working surface and determine, a target running speed of the robot according to the material information, and control the robot to run at the target running speed. The robot provided by the present disclosure controls the operating speed according to the material information of the working surface, and the robot can clean at different speeds for different materials when cleaning. If the detected material of the working surface is a material that is not easy to clean, you can set the speed to a low speed mode accordingly.

Abstract: A control method and a related device, applied to the field of autonomous driving, advanced driver assistance, or automatic control. The method includes: receiving at least one piece of first information from at least one first apparatus, where the first apparatus may include a roadside device, a network device, or a first vehicle; and determining, by a device, a first state of a second apparatus based on the received at least one piece of first information, where the second apparatus may be a vehicle light, an exterior horn, an interior signal lamp, an interior horn, an interior vibration apparatus, or the like. The first information may indicate a status such as on/off, blinking, and luminance of the vehicle light, or the interior horn plays a specific voice prompt.

Abstract: Provided are an electronic device and method for wireless communication, and a computer-readable storage medium.

Abstract: A method for identifying influential effects that contribute most to a status change of a target index for goal seeking analysis. The method includes generating a candidate list of significant changed predictors between the normal and abnormal status time periods in collected data, and building a plurality of regression models from the collected data. The method determines a first value (trend value or Pearson correlation value) for each of the significant changed predictors based on whether at least one of the significant changed predictors have a significant change trend using the regression models. The method obtains a second predictor importance value for each of the significant changed predictors from a single model built on all the collected data. The method generates a final predictor value for each of the significant changed predictors by combining the first value with the second predictor importance value for each of the significant changed predictors.

Abstract: A transmission control method includes steps for obtaining interference information of a first radar on a first frequency band, for example, through listening before transmission. The interference information represents a degree to which the first radar is interfered with on the first frequency band. Transmission duration of the first radar on the first frequency band is determined based on the interference information, where the interference information indicates either a difference between the transmission duration and an initial transmission duration of the first radar, or the transmission duration.

Abstract: Embodiments provide an optical coupling apparatus, an optical module, and a communications device. In those embodiments, the optical coupling apparatus includes: an optical fiber component, including a plurality of optical fibers and an optical fiber fixing block. The plurality of optical fibers are fixed to the optical fiber fixing block. A first end face is disposed on the optical fiber fixing block. At least some of the optical fibers include plug ends which protrude from the first end face. An optical write waveguide block, including a main body and a plurality of waveguides disposed in the main body. A second end face is disposed on the main body, coupling holes that are in a one-to-one correspondence with the plug ends are disposed on the second end face in a recessed manner, and the coupling holes are formed when ends of the waveguides are recessed from the second end face.

Abstract: A durable, hydrophobic and anti-scratching nano-coating for coating on a glass substrate or surface having a water contact angle of about 90° or more, a reduced coefficient of friction by 50% or more, and a reduced surface roughness compared to those of the glass substrate or surface without the nano-coating is provided, which includes a layer of fluorinated silica derived from sol-gel hydrolysis between one or more tetraalkoxysilanes having at least three alkoxy groups and one or more polyfluorinated silanes having at least a trialkoxysilane and from 15 to 17 fluorine atoms in the presence of a catalyst to a reaction mixture of the sol-gel hydrolysis between the one or more tetraalkoxysilanes and the one or more polyfluorinated silanes, and a solvent. A related method of fabricating the nano-coating via atomization of acid-containing or alkali-containing solution and sol-gel precursor solution onto the glass surface is also provided.

Abstract: A method, a computer program product and a computer system refine Internet search recommendations. The method includes receiving a search input from a user. The method also includes receiving a plurality of sets of search results from respective search engines. Each search engine utilizes a respective type of search process. Each of the sets of the search results for a selected one of the search engines is prioritized according to the type of the search process. The method further includes applying respective weights to the search engines such that the sets of search results have a modified priority based on the weights. The weights are associated with the user. Finally, the method includes generating modified search results based on the sets of search results, the weights, and the modified priority.

Abstract: A quinoline derivative used for soft tissue sarcoma combination therapy, relating to a use of the quinoline derivative in combination with a second therapeutic drug to treat soft tissue sarcoma, wherein the second therapeutic drug may be a chemotherapy drug, a small molecule targeted anti-tumour drug or an immunotherapy drug. The chemical name of the quinoline derivative compound I is 1-[[[4-(4-fluoro-2-methyl-1H-indol-5-yl)oxy-6-methoxyquinolin-7-yl]oxy]methyl]cyclopropylamine.

Abstract: This application provides an information transmission method and apparatus, relates to interference processing of a cooperative radar, and is applicable to internet of vehicles scenarios, such as a vehicle-to-everything V2X scenario, a long term evolution-vehicle LTE-V scenario, and a vehicle-to-vehicle V2V scenario. Therefore, information related to a transmit power can be transmitted through an interface of a radar detection apparatus, and a capability of an automated driving system or an advanced driver assistant system ADAS is improved, to adapt to a variable driving environment. The information transmission method includes: A first detection apparatus receives indication information, where the indication information is used to indicate the first detection apparatus to determine a first transmit power used for transmitting a radar signal; and the first detection apparatus determines the first transmit power based on the indication information.

Abstract: Disclosed is a low-voltage DC power distribution fast switching device. The device includes a positive output terminal electrically connected to a positive pole of a load, and no less than two switching circuits connected in parallel with each other; the switching circuit includes a positive input terminal electrically connected to a positive pole of common negative power supplies, a supplementary diode cluster composed of no less than one diode connected in series, and a thyristor connected between the positive input terminal and the positive output terminal; the positive input terminal is electrically connected to an anode of the supplementary diode cluster and an anode of the thyristor, and the positive output terminal is electrically connected to a cathode of the complementary diode cluster and a cathode of the thyristor.

Abstract: A system for automated cluster execution support includes and interface, a linking storage system, and a processor. The interface is configured to receive a first code segment in a first coding language; receive a second code segment in a second coding language; and receive a connector indication, wherein the connector indication indicates that intermediate state data that is output from the first code segment is used as input to the second code segment. The processor is configured to cause execution of the first code segment, wherein executing the first code segment includes executing an output method using the first coding language to store the intermediate state data in the linking storage system; and cause execution of the second code segment, wherein executing the second code segment includes executing an input method using the second coding language to read the intermediate state from the linking storage system.