Abstract: Embodiments provide methods and systems for training a transaction monitoring model based on a multi-component event-aware loss function. The method performed by a server system includes accessing historical transaction data of payment transactions associated with an acquirer server. Method includes determining acquirer features associated with the acquirer server and transaction features associated with an individual payment transaction based on the historical transaction data. Method includes generating, via an embedding layer, a latent representation corresponding to the individual payment transaction. Method includes training a fraud classifier and an acquirer classifier based on the latent representation and the multi-component event-aware loss function. Method includes computing the multi-component event-aware loss function based on execution of the fraud classifier and the acquirer classifier.

Abstract: The present disclosure sets forth a motion sensing outdoor security light with the flexibility of being mounted to either a wall structure or to an eave or ceiling structure. An adjustable spherical motion sensor housing may be provided with the rotationally adjustable outdoor security light, allowing easy adjustment of motion detection ranges under different mounting schemes without comprising the aesthetic design of the light. The adjustable spherical motion sensor housing may also provide an enlarged horizontal field of view for better performance.

Abstract: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

Abstract: The present disclosure sets forth a motion sensing outdoor security light with the flexibility of being mounted to either a wall structure or to an eave or ceiling structure. An adjustable spherical motion sensor housing may be provided with the rotationally adjustable outdoor security light, allowing easy adjustment of motion detection ranges under different mounting schemes without comprising the aesthetic design of the light. The adjustable spherical motion sensor housing may also provide an enlarged horizontal field of view for better performance. Sensitivity of a motion sensor may be adjusted via a control circuit based on adjustment of the spherical motion sensor housing.

Abstract: Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.

Abstract: The present disclosure sets forth a motion sensing outdoor security light with the flexibility of being mounted to either a wall structure or to an eave or ceiling structure. An adjustable spherical motion sensor housing may be provided with the rotationally adjustable outdoor security light, allowing easy adjustment of motion detection ranges under different mounting schemes without comprising the aesthetic design of the light. The adjustable spherical motion sensor housing may also provide an enlarged horizontal field of view for better performance.

Abstract: The present disclosure sets forth a security light with the flexibility of modifying the color output of the light source by using simple mechanical color filters mounted over the light source. The security light may comprise at least one lamp head with a light source, an inner lens, a filter frame element, an outer lens, an exchangeable mechanical color filter, a locking mechanism, and a sealing mechanism.

Abstract: Aspect of the disclosure include a testing apparatus and a method for testing an integrated circuit. One embodiment of the testing apparatus may comprise a main probe pin configured for electrical testing of a sample, the sample having a terminal pad, and a secondary probe pin configured for contact testing of the main probe pin against the terminal pad. In some embodiments, the testing apparatus may further comprise an indicator circuit electrically connected to the main probe pin and the secondary probe pin. The indicator circuit may output a signal when the main probe pin and the secondary probe pin are in simultaneous electrical engagement with the terminal pad.

Abstract: One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

Abstract: The present invention relates to coating compositions for wind turbine blades. The compositions are particularly useful as topcoats for wind blades and for Leading Edge Protection (LEP). The invention also relates to a wind blade coated with a coating composition of the invention and to a method for application of the coating composition and to a method for repairing and/or replacing the existing coating layer on a wind blade by application of a coating composition of the invention. The invention also relates to a kit of parts comprising the base composition and the curing agent used in the coating composition. The coating composition used for coating a wind blade comprises a base composition comprising a polyetheraspartic ester having the formula (I) below, wherein each R represents a linear or branched C1-C10 alkyl residue, such as a linear or branched C1-C6 alkyl residue, such as for example a methyl, ethyl, propyl or butyl residue; and wherein X is a polyether.

Abstract: A system includes probe pins each including a probe tip and a plurality of thermocouples arranged such that at least one thermocouple is positioned between a pair of the probe pins. The plurality of thermocouples can be placed adjacent or above a device under test (DUT). The probe tips of the probe pins are placed over a plurality of pads. The plurality of thermocouples are placed adjacent or between the plurality of pads. The at least one thermocouple positioned between the pair of the probe pins can be either a single thermocouple or a thermocouple array.

Abstract: A system can include a plurality of processors. Each processor of the plurality of processors can be configured to execute program code. The system can include a direct memory access system configured for multi-processor operation. The direct memory access system can include a plurality of data engines coupled to a plurality of interfaces via a plurality of switches. The plurality of switches can be programmable to couple different ones of the plurality of data engines to different ones of the plurality of processors for performing direct memory access operations based on a plurality of host profiles corresponding to the plurality of processors.

Abstract: Systems and methods for establishing relationships between building automation system components and controlling building automation system components. Data for a building automation system components may be received from the building automation system components and one or more models may be applied to the received data to determine types of the building automation system components and relationships between building automation system components. Once the types of building automation system components have been determined or identified, uniform names may be applied to the building automation system components. The received data may include, among other data, naming data and telemetry data from the building automation system components.

Abstract: A testing apparatus comprises a first electromagnet. The first electromagnet can be configured to expose a first test device to a first electromagnetic field. The testing apparatus also comprises a second electromagnet. The second electromagnet can be configured to expose a second test device to a second electromagnetic field.

Abstract: A method comprises receiving as input one or more spatial temporal factors associated with one or more products where the one or more spatial temporal factors affect a demand for one or more product attributes of the one or more products at one or more locations at a select period of time and dynamically modifying a first option plan based on the received input of the one or more spatial temporal factors to generate a second option plan for a given location of the one or more locations at the select period of time. The steps are performed by at least one processor device coupled to a memory.

Abstract: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

Abstract: An approach is provided in which the approach stores, in a cached recycle bin, a set of sensor data that is sent from a sensor at a transmit frequency. The approach samples at least a portion of the set of sensor data from the cached recycle bin based on a sampling frequency and training a machine learning model using the sampled data. In response to detecting that a performance of the machine learning model falls below a threshold during the training, the approach adjusts the sampling frequency and re-sampling at least a portion of the sensor data based on the adjusted sampling frequency. The approach instructs the sensor to adjust the transmit frequency in response to determining that the performance of the machine learning model reaches the threshold using the re-sampled data.