Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that cause the one or more processors to perform: training a machine learning model using one or more training features, wherein each training feature of the one or more training features is segmented in a respective group of one or more groups by a respective time period; executing, after training the machine learning model, the machine learning model to generate a forecasting system to predict at least a predicted return on an ad spend (ROAS) value; and providing access to the forecasting system to predict one or more input parameters for an electronic advertising campaign to forecast one or more campaign predictions associated with the electronic advertising campaign. Other embodiments are disclosed herein.

Abstract: A method for visualization of dynamic objects using a generative manifold includes steps of: acquiring a set of measurements associated with the dynamic objects using sensors; estimating parameters of a generator using the set of measurements and estimating latent variables using the set of measurements; modeling using a computing device the dynamic objects as a smooth non-linear function of the latent variables using the generator such that points in a latent subspace are mapped to a manifold in a generative manifold model; and generating a visualization of the dynamic objects using the generative manifold model. The set of measurements may include multi-slice data. The generative manifold model may provide for modeling deformations.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing access to a forecasting system that includes a machine learning model configured to forecast one or more campaign predictions associated with an electronic advertising campaign; extracting historical campaign data from one or more databases using a distributed processing system; generating training features for training the machine learning model; executing a training procedure that is configured to train the machine learning model, at least in part, using the training features; and executing, after completion of the training procedure, the machine learning model to forecast a predicted ROAS value or a predicted budget value. Other embodiments are disclosed herein.

Abstract: Systems for prosecuting Internet messaging campaigns. Two or more data sources are determined where at least one of the data sources comprise demographic attributes corresponding to shared IDs such as recipient IDs. A first join operation is performed over matching instances of the shared IDs in the two or more data sources. The first join operation results in a personalization table comprising rows having at least recipient IDs, respective external addresses, and at least one of the demographic attributes. The personalization table is transformed into a key-value data structure that is published to a caching subsystem. The caching subsystem is used to select a first set of recipients determined without performing a second join operation. Personalized messages to at least some of the first and second set of recipients are formed using the message template and the key-value data structures.

Abstract: Systems and methods are provided for high-performance data processing. A policy is received that indicates a cutoff time. A request is processed to return the data item from the cache if the cutoff time is satisfied for the data item or return the data item from the database or not at all if the cutoff time is not satisfied for the data item. If the data item retrieved from the database, metadata associated with the data item is stored to indicate when the data item was last marked as in sync with the database.

Abstract: Provided is a conveyor belt specification determination method. Severity of a use condition of a conveyor belt is categorized into categories. A database in which a permissible range of prescribed characteristics of an upper cover rubber, including wear resistance and cut resistance, for each of the categories is set is created; a degree of influence of representative rubber physical properties, which affect the prescribed characteristics, of the upper cover rubber on the prescribed characteristics is ascertained; a category is identified from the use conditions of the conveyor belt on the basis of the database; an appropriate range of the representative rubber physical property is identified for which the prescribed characteristics are in the permissible range in the identified category; and a rubber type for which the rubber physical properties are in this appropriate range is selected as the upper cover rubber.

Abstract: Systems for prosecuting Internet messaging campaigns. Two or more data sources are determined where at least one of the data sources comprise demographic attributes corresponding to shared IDs such as recipient IDs. A first join operation is performed over matching instances of the shared IDs in the two or more data sources. The first join operation results in a personalization table comprising rows having at least recipient IDs, respective external addresses, and at least one of the demographic attributes. The personalization table is transformed into a key-value data structure that is published to a caching subsystem. The caching subsystem is used to select a first set of recipients determined without performing a second join operation. Personalized messages to at least some of the first and second set of recipients are formed using the message template and the key-value data structures.

Abstract: Systems for prosecuting Internet messaging campaigns. Two or more data sources are determined where at least one of the data sources comprise demographic attributes corresponding to shared IDs such as recipient IDs. A first join operation is performed over matching instances of the shared IDs in the two or more data sources. The first join operation results in a personalization table comprising rows having at least recipient IDs, respective external addresses, and at least one of the demographic attributes. The personalization table is transformed into a key-value data structure that is published to a caching subsystem. The caching subsystem is used to select a first set of recipients determined without performing a second join operation. Personalized messages to at least some of the first and second set of recipients are formed using the message template and the key-value data structures.

Abstract: Embodiments of the present invention provide a method and device for processing Dynamic Vision Sensor (DVS) events. The method comprises the operations of: acquiring a DVS event map sequence; for any DVS event map in the DVS event map sequence, extracting a DVS event feature descriptor, where the DVS event feature descriptor has a scale-invariant feature and/or a rotation-invariant feature; determining, according to the extracted DVS event feature descriptor, a three-dimensional space pose of the DVS event map at the current moment; and, generating, according to the three-dimensional space pose of each DVS event map, a DVS event map sequence with temporal consistency. The embodiments of the present invention are used for generating, from a DVS event map sequence, a DVS event map sequence with temporal consistency.

Abstract: Methods and apparatuses for time alignment calibration are provided including acquiring an event-stream and video images of a target object which are simultaneously shot by a dynamic vision sensor and an assistant vision sensor, determining a key frame that reflects obvious movement of the target object from the video images, mapping effective pixel positions of the target object in the key frame and effective pixel positions of the target object in the neighboring frames according to a spatial relative relation between the dynamic vision sensor and the assistant vision sensor, determining a first target object template that covers events in a first event-stream segment from the plurality of target object templates, and using a time alignment relation of an intermediate instant of the first event-stream segment and a timestamp of a frame corresponding to the first target object template between the dynamic vision sensor and the assistant vision sensor.

Abstract: An in-situ testing equipment for testing micromechanical properties of a material in a multi-load and multi-physical field coupled condition is disclosed. The equipment comprises a frame supporting module, a tension/compression-low cycle fatigue module, a torsioning module (21), a three-point bending module (6), an impressing module (33), a thermal field and magnetic field application module (34), an in-situ observation module (32) and a clamp body module (22).

Abstract: Embodiments of the present invention provide a method and device for processing Dynamic Vision Sensor (DVS) events. The method comprises the operations of: acquiring a DVS event map sequence; for any DVS event map in the DVS event map sequence, extracting a DVS event feature descriptor, where the DVS event feature descriptor has a scale-invariant feature and/or a rotation-invariant feature; determining, according to the extracted DVS event feature descriptor, a three-dimensional space pose of the DVS event map at the current moment; and, generating, according to the three-dimensional space pose of each DVS event map, a DVS event map sequence with temporal consistency. The embodiments of the present invention are used for generating, from a DVS event map sequence, a DVS event map sequence with temporal consistency.

Abstract: Systems and methods are provided for high-performance data processing. A policy is received that indicates a cutoff time. A request is processed to return the data item from the cache if the cutoff time is satisfied for the data item or return the data item from the database or not at all if the cutoff time is not satisfied for the data item. If the data item retrieved from the database, metadata associated with the data item is stored to indicate when the data item was last marked as in sync with the database.

Abstract: Provided is a conveyor belt specification determination method. Severity of a use condition of a conveyor belt is categorized into categories. A database in which a permissible range of prescribed characteristics of an upper cover rubber, including wear resistance and cut resistance, for each of the categories is set is created; a degree of influence of representative rubber physical properties, which affect the prescribed characteristics, of the upper cover rubber on the prescribed characteristics is ascertained; a category is identified from the use conditions of the conveyor belt on the basis of the database; an appropriate range of the representative rubber physical property is identified for which the prescribed characteristics are in the permissible range in the identified category; and a rubber type for which the rubber physical properties are in this appropriate range is selected as the upper cover rubber.

Abstract: Systems and methods are provided for high-performance data processing. A policy is received that indicates a cutoff time. A request is processed to return the data item from the cache if the cutoff time is satisfied for the data item or return the data item from the database or not at all if the cutoff time is not satisfied for the data item. If the data item retrieved from the database, metadata associated with the data item is stored to indicate when the data item was last marked as in sync with the database.

Abstract: A method for obtaining a three-phase power flow of a power distribution network and a device for obtaining a three-phase power flow of a power distribution network are provided. The method includes steps of: selecting a three-phase power transformer in the power distribution network and configuring a secondary side of the three-phase power transformer with an ungrounded neutral connection, such that the three-phase power transformer satisfies a preset voltage-current relationship; adding a constraint condition to the preset voltage-current relationship to correct a three-phase admittance matrix of the three-phase power transformer; and applying the three-phase admittance matrix to a preset algorithm to obtain a three-phase power flow of the power distribution network.

Abstract: An in-situ testing equipment for testing micromechanical properties of a material in a multi-load and multi-physical field coupled condition is disclosed. The equipment comprises a frame supporting module, a tension/compression-low cycle fatigue module, a torsioning module (21), a three-point bending module (6), an impressing module (33), a thermal field and magnetic field application module (34), an in-situ observation module (32) and a clamp body module (22).

Abstract: A charger with a replaceable plug includes a charger body; a groove is provided on an end portion of a lateral surface of the charger body, and a folding plug is hinged in the groove. A removable plug is also plugged in the groove, and the removable plug is formed of a support, conductive pins and positioning raised ribs disposed on the support, and conductive metal elastic pieces connected with the conductive pins; an end face of the positioning raised ribs, facing the conductive pins of the folding plug is provided with connecting holes matching the conductive pins, and the conductive metal elastic pieces are arranged in the connecting holes. When the positioning raised ribs are plugged into the groove, the conductive metal elastic pieces are tightly connected with the conductive pins of the folding plug. The present invention is simple in structure and convenient to use.

Abstract: A cutting tool with asymmetric structures on cutting teeth has multiple toothed surfaces. Each of the toothed surfaces has multiple groove structures dividing a side edge of the toothed surface into the cutting teeth. Since the groove structures of the toothed surfaces are arranged in an asymmetric and complementary manner, contact areas between the cutting teeth on the toothed surfaces of the cutting tool and a workpiece are reduced. The cutting teeth on the toothed surfaces of the cutting tool are not worn and broken easily. When the cutting tool is used for cutting hard brittle material, machining quality, accuracy, and efficiency are enhanced.

Abstract: Systems for prosecuting Internet messaging campaigns. Two or more data sources are determined where at least one of the data sources comprise demographic attributes corresponding to shared IDs such as recipient IDs. A first join operation is performed over matching instances of the shared IDs in the two or more data sources. The first join operation results in a personalization table comprising rows having at least recipient IDs, respective external addresses, and at least one of the demographic attributes. The personalization table is transformed into a key-value data structure that is published to a caching subsystem. The caching subsystem is used to select a first set of recipients determined without performing a second join operation. Personalized messages to at least some of the first and second set of recipients are formed using the message template and the key-value data structures.