Abstract: Embodiments of the present disclosure relate to a faceplate that implements poppets to vary nozzle cross-sections. In one embodiment, a faceplate is provided. The faceplate includes a body, a plurality of holes in the body, and a plurality of poppet assemblies. The poppet assemblies include a poppet configured to travel in a first portion of the hole and create a variable passage in a second portion of the hole. The poppet assemblies further include a first spring connected to the poppet and operable to move the poppet in a first direction when connected to an electrical power, and a second spring connected to the poppet and operable to move the poppet in a second direction that is opposite the first direction when the electrical power is reduced or terminated.

Abstract: Embodiments herein provide a method for determining IP addresses for scanning in wireless network by a system (100). The method includes storing a plurality of IP scan configurations corresponding to various network elements in a database (108). Each of the IP scan configuration includes a plurality of IP parameters corresponding to each bit of an IP schema, where each IP parameter of the plurality of IP parameters is defined by a user. Further, the method includes receiving a request to determine a list of IP addresses required to be scanned corresponding to a network element. Further, the method includes retrieving the IP scan configuration corresponding to the network element from the database. Further, the method includes determining the list of IP addresses to be scanned based on the retrieved IP scan configuration. Further, the method includes displaying the list of IP addresses to the user.

Abstract: Embodiments provide artificial intelligence-based methods and systems for predicting account-level risk scores associated with cardholders. Method performed by server system includes accessing payment transaction data and cardholder risk data associated with cardholder. The payment transaction data includes transaction variables associated with past payment transactions performed at Point of Interaction (POI) terminals within a particular time window. Method includes generating cardholder profile data based on the transaction variables and the cardholder risk data. Method includes determining account-level risk scores associated with the cardholder based on cardholder profile data. Each account-level risk score of account-level risk scores is determined by a trained machine learning model. The account-level risk scores include a wallet reload risk score, an account reissuance risk score, and a transaction channel risk score.

Abstract: Embodiments herein provide a method for generating multiple IP addresses in a wireless network by a system (100). The method includes receiving user request to generate multiple IP addresses of at least one network element. Further, the method includes retrieving the IP address template corresponding to the at least one network element from a database (120) based on the user request, wherein the IP address template comprises a plurality of network parameters corresponding to positionally encoded bits of an IP schema. Further, the method includes generating the multiple IP addresses of the at least one network element based on the set of user defined labels, the count of the multiple of IP addresses of the at least one network element, the IP address template and the IP schema. Further, the method includes displaying the generated multiple IP addresses of the at least one network element.

Abstract: A method of manipulating a construction object on a construction site using a construction robot system is disclosed wherein the construction robot system comprises at least two robotic arms, wherein a controller virtually manipulates a virtual representation of the construction object, and a control unit of the construction robot system controls the robotic arms such that the construction object is manipulated according to the virtual manipulation of the virtual representation of the construction object. Furthermore, a construction robot system and a computer program product is provided.

Abstract: Disclosed are various approaches for performing biometric authentication of users using an application running on a client device. A biometric model can be trained using biometric data from a population of users. The biometric model can be used by the client application to authenticate users and can be separate from system-level biometric authentication capabilities of the client device.

Abstract: Embodiments herein provide a method for generating multiple IP addresses in a wireless network by a system (100). The method includes receiving user request to generate multiple IP addresses of at least one network element. Further, the method includes retrieving the IP address template corresponding to the at least one network element from a database (120) based on the user request, wherein the IP address template comprises a plurality of network parameters corresponding to positionally encoded bits of an IP schema. Further, the method includes generating the multiple IP addresses of the at least one network element based on the set of user defined labels, the count of the multiple of IP addresses of the at least one network element, the IP address template and the IP schema. Further, the method includes displaying the generated multiple IP addresses of the at least one network element.

Abstract: Disclosed are various approaches for performing biometric authentication of users using an application running on a client device. A biometric model can be trained using biometric data from a population of users. The biometric model can be used by the client application to authenticate users and can be separate from system-level biometric authentication capabilities of the client device.

Abstract: A generative adversarial network and a reinforcement learning system are combined to generate phishing emails with adaptive complexity. A plurality of phishing emails are obtained from a trained generative adversarial neural network, including a generator neural network and a discriminator neural network. A subset of phishing emails is selected, from the plurality of phishing emails, using a reinforcement learning system trained on user-specific behavior. One or more of the subset of phishing emails are sent to a user email account associated with a particular user. The reinforcement learning system is then adjusted based on user action feedback to the one or more of the subset of phishing emails.

Abstract: The invention relates to bar composition comprising minimum floor levels of C10 soap while minimizing ratio of unsaturated C18 soap to caprate. Such bars provide enhanced rapid, antibacterial activity. Disclosed is a soap bar composition comprising: a) 25 to 85%, preferably 35 to 75% by weight of C8 to C24 fatty acid soap comprising: (i) C10 soap at 8% or 15% or greater, more preferably 16 to 32% by weight of total bar composition; and, (ii) unsaturated C18 soap, wherein weight ratio of said unsaturated C18 soap to C10 (caprate) soap is 1.2 to 0.1. b) 1 to 45% organic and inorganic adjuvant materials by weight of the composition; and, c) 5 to 30%, preferably 13 to 28% water by weight of the composition, wherein excess of C10 soap to unsaturated C18 soap is at least 6%.

Abstract: In some implementations, there is provided a computer-implemented method including initiating an upgrade of a service; performing the upgrade of the service by at least checking a system table including an indication of whether the upgrade of the service causes at least one data to be incompatible with the service after the upgrade is completed; in response to the indication indicating the upgrade of the service causes the at least one data to be incompatible, the method further comprises: continuing with the upgrade of the service, without converting the at least one data; detecting a first usage of the service; and in response to the detecting of the first usage, converting the at least one data that is incompatible with the service. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A method of acquiring sensor data on a construction site by at least one sensor of a construction robot system comprising at least one construction robot is provided, wherein a sensor is controlled using a trainable agent, thus improving the quality of acquired sensor data. A construction robot system, a computer program product, and a training method are also provided.

Abstract: A method of localizing a mobile construction robot on a construction site, wherein environment data of the construction site is captured, wherein a pose of the mobile robot is inferred using the environment data disclosed, wherein the method comprises a step of semantic segmentation, wherein a semantic classifier having an updatable semantic model classifies the environment data into at least two semantic classes, wherein the semantic model is updated at least once. Furthermore, the invention concerns a mobile construction robot system and a computer program product. The invention provides solutions for a robust and precise localization of the mobile construction robot.

Abstract: In a scenario involving a primary and secondary server, resource requests can be managed to avoid sending multiple requests to the secondary server. In particular, requests for data object attributes can be queued when another request has already been made. Hashkey and locking mechanisms can be used to support scenarios involving multiple users and multiple data object instances. Performance of the overall system landscape can thus be improved by effectively consolidating resource requests.

Abstract: In one aspect a system for asset model reconstruction is provided. The system includes a data collection assembly including a rotator, a LIDAR sensor coupled to the rotator and arranged to acquire LIDAR point cloud data of an asset, an inertial measurement unit (IMU) arranged to collect inertial data of the data collection assembly and a computing system communicatively coupled to the data collection assembly and including at least one data processor and a memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations including receiving rotational data from the rotator, receiving inertial data from the IMU, receiving LIDAR point cloud data from the LIDAR sensor and generating a surface model of the asset.

Abstract: In a scenario involving a primary and secondary server, resource requests can be managed to avoid sending multiple requests to the secondary server. In particular, requests for data object attributes can be queued when another request has already been made. Hashkey and locking mechanisms can be used to support scenarios involving multiple users and multiple data object instances. Performance of the overall system landscape can thus be improved by effectively consolidating resource requests.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: Disclosed is a plunger piston for use in a syringe and especially in a micro-dosing syringe pump application. The plunger piston comprises a front face opposite a rear face and at least one annular groove positioned between the front face and the rear face. The plunger piston includes a plurality of channels extending from the front face into the groove, the channels providing communication between the front face and the groove. An O-ring is received in the groove and the channels serve to equalize pressures around a first side of the O-ring to improve sealing performance and micro-dosing accuracy of a syringe or a micro-dosing syringe pump utilizing the plunger piston.

Abstract: Systems, methods, and software are disclosed herein that provide a computer-based user experience that allows a user to consume information about physical and digital activities undertaken by one or more users. In an implementation, a software application on a computing device communicates with an online service to obtain activity information indicative of such activities, as well as activity topics produced by the service. The application groups the activities into activity groups based at least on the topics produced for the activities, and displays the activity groups in a user interface to the application.

Abstract: A method for repeatedly measuring the position of a construction device on a construction site, wherein a position is measured relative to at least two, the method comprising: a. directly measuring the distances from a position measurement system arranged and/or formed on the construction device to at least two of the markings located in a field of view of the position measurement system and measuring the apparent viewing angles of the at least two of the markings from the position measurement system to carry out a first measurement of the position of the construction device and b. taking a bearing of at least two of the markings from the position measurement system to carry out a second measurement of the position of the construction device.