Abstract: An anomaly detection and analysis system generates analysis or summary of the anomalies detected from key performance indicators (KPIs). The system receives anomaly data reporting anomalies detected in key performance indicator (KPI) data. The system classifies the reported anomalies into a plurality of anomaly items, wherein anomalies from KPI data that share a set of features are assigned to one anomaly item. The system computes a ranking score for each anomaly item by assigning predefined weights for different anomaly types that are present in the anomaly item. The system sorts a list of anomaly items from the plurality of anomaly items into a sorted list of anomaly items according to the ranking scores computed for the plurality of anomaly items. The system sends the sorted list of anomaly items to a user device for presentation.

Abstract: A method for a smart device management resource picker includes receiving an authorization request from a third party. The authorization request requests access to a user resource managed by the device manager. The device manager manages access controls associated with a plurality of user devises, the access controls are configured by a user. The method also includes determining whether the third party is authorized to access the user resource managed by the device manager. When the third party is authorized to access the user resource managed by the device manager, the method includes determining whether the user has configured access controls at the device manager that governs the user resource subject to the authorization request. When the user has configured a respective access control that governs the user resource subject to the authorization request, the method includes communicating a response to the authorization request based on the respective access control.

Abstract: In one embodiment, dynamic user private networks are virtually segmented within a shared virtual network. A network control system maintains the dynamic logical segmentation of the shared virtual network. User entities (e.g., user devices and/or services) are communicatively coupled to respective personal virtual networks via endpoints of access devices. Each of these endpoints is associated with a corresponding user private network. Responsive in real-time to automated processing of a received electronic particular user request, the network control system automatically modifies the dynamic logical segmentation of the shared virtual network to move a particular user entity on the shared virtual network to newly being on the first dynamic user private network without being disconnected from the shared virtual network. One embodiment uses different user private network identifiers (UPN-IDs) associated with endpoints and received packets to identify their respective user private network.

Abstract: A method for a smart device management resource picker includes receiving an authorization request from a third party. The authorization request requests access to a user resource managed by the device manager. The device manager manages access controls associated with a plurality of user devises, the access controls are configured by a user. The method also includes determining whether the third party is authorized to access the user resource managed by the device manager. When the third party is authorized to access the user resource managed by the device manager, the method includes determining whether the user has configured access controls at the device manager that governs the user resource subject to the authorization request. When the user has configured a respective access control that governs the user resource subject to the authorization request, the method includes communicating a response to the authorization request based on the respective access control.

Abstract: A spring brake actuator for a commercial vehicle includes a service brake portion (4) and a spring brake portion (6) that has a housing (8, 108) with a first end (10, 110) proximal to the service brake portion (4), a wall section (12, 112) extending from the first end (10, 110), a second end (14, 114) distal to the service brake portion (4), and a locking mechanism (16, 116) for locking the first and second ends (10, 110, 14, 114) to the wall section (12, 112). The locking mechanism (16, 116) is arranged between the wall section (12, 112) and the second end (14, 114) of the housing (8, 108).

Abstract: The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

Abstract: Techniques in the disclosure use non-wetting or wetting surfaces to promote or hinder separation of gas from solution in a liquid. The systems and processes promote bubble nucleation and/or promote separation of a gas or gases from a liquid using non-wetting surfaces. Also, the systems and processes suppress bubble nucleation in order to create supersaturated solutions of gas or gases in a liquid by using wetting surfaces.

Abstract: A network performance degradation detection system is provided. The system receives Key Performance Indicator (KPI) values for devices of different device types running different software versions. The system determines baseline values of a first device type by averaging the KPI values of the different software versions running on devices of the first device type. The system compares KPI values for a first software version running on devices of the first device type with the determined baseline values to produce a set of comparison results. The system applies the set of comparison results to a classification model to determine whether the first software version running on devices of the first device type causes network performance degradation.

Abstract: Remote automated assistant component(s) generate client device notification(s) based on a received IoT state change notification that indicates a change in at least one state associated with at least one IoT device. The generated client device notification(s) can each indicate the change in state associated with the at least one IoT device, and can optionally indicate the at least one IoT device. Further, the remote automated assistant component(s) can identify candidate assistant client devices that are associated with the at least one IoT device, and determine whether each of the one or more of the candidate assistant client device(s) should render a corresponding client device notification.

Abstract: In one embodiment, dynamic user private networks are virtually segmented within a shared virtual network. A network control system maintains the dynamic logical segmentation of the shared virtual network. User entities (e.g., user devices and/or services) are communicatively coupled to respective personal virtual networks via endpoints of access devices. Each of these endpoints is associated with a corresponding user private network. Responsive in real-time to automated processing of a received electronic particular user request, the network control system automatically modifies the dynamic logical segmentation of the shared virtual network to move a particular user entity on the shared virtual network to newly being on the first dynamic user private network without being disconnected from the shared virtual network. One embodiment uses different user private network identifiers (UPN-IDs) associated with endpoints and received packets to identify their respective user private network.

Abstract: The disclosed system identifies international calling performance issues of a wireless telecommunication network. The system receives network traffic data for international calls including information about call attempts to a country. The system categorizes the country into a major category and a minor category based on the call attempts information. For a subset of countries, and for each key performance indicator in a subset of selected key performance indicators, the system monitors performance using an anomaly detection model to identify an anomaly in network performance, determines an actual value of the key performance indicator for the detected anomaly, and computes a variation value of the determined actual value based on a predicted range of values. The system ranks countries using the computed variation values, to indicate problematic parts of the wireless telecommunication network.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to multichannel authentication and tokenization. A system comprises a first authentication system serving a plurality of in-store point of sale terminals and implementing a physical channel authentication policy and a second authentication system serving a plurality of user devices accessing an e-commerce service and implementing an e-commerce channel authentication policy, and a tokenization system. The tokenization system being configured to generate a first token in response to receiving a first user credential from an in-store point of sale terminal via the first authentication system, generate a second token in response to receiving a second user credential from a user device via the second authentication system, and forward the first token and the second token to the retailer backend system, wherein the first token and the second token are generated based on a same tokenization protocol.

Abstract: In some embodiments, apparatuses and methods are provided herein useful for access token conversion. The system comprises a first application programming interface (API) backend using a first authentication service based on a first tokenization protocol and a second API backend using a second authentication service based on a second tokenization protocol. The second authentication service is configured to receive from, a user device, a call to the second API backend with a first token associated with the first authentication service, convert the first token to a first converted token based on the second tokenization protocol, and forward the first converted token to the user device for use in subsequent calls to the second API backend.

Abstract: The disclosed system identifies international calling performance issues of a wireless telecommunication network. The system receives network traffic data for international calls including information about call attempts to a country. The system categorizes the country into a major category and a minor category based on the call attempts information. For a subset of countries, and for each key performance indicator in a subset of selected key performance indicators, the system monitors performance using an anomaly detection model to identify an anomaly in network performance, determines an actual value of the key performance indicator for the detected anomaly, and computes a variation value of the determined actual value based on a predicted range of values. The system ranks countries using the computed variation values, to indicate problematic parts of the wireless telecommunication network.

Abstract: Techniques for identifying certain types of network activity are disclosed, including parsing network traffic to automatically recognize anonymous identifiers. Such techniques may be used to identify and eliminate malicious and/or undesirable network traffic, and to identify topics relevant to a user of a particular network device so that communications to such a user are more likely to relate to a topic of interest to the user.

Abstract: This document relates to methods and materials for treating nerve injuries. For example, thermoresponsive compositions containing 4-aminopyridine (4-AP) and/or one or more derivatives of 4-AP as well as methods for using such thermoresponsive compositions as a delivery system for 4-AP and/or one or more derivatives of 4-AP (e.g., to treat nerve injury) are provided. This document also provides methods and materials for treating a wound (e.g., a skin wound). For example, compositions containing 4-AP and/or one or more derivatives of 4-AP can be administered (e.g., systemically administered) to a mammal having a wound (e.g., a skin wound) to treat the wound (e.g., to promote wound healing).

Abstract: An anomaly detection and analysis system detects anomalies in time series data from key performance indicators (KPIs). The system decomposes samples of the time series data received during a first time interval into a trend component, a seasonality component, and a randomness component. The system identifies an upper bound and a lower bound based on the trend component, the seasonality component, and a variance of the randomness component. The system reports a sample received after the first time interval as an anomaly when the sample exceeds the upper bound or the lower bound. The system recalculates the trend component, the seasonality component, and the randomness component when more than a threshold percentage of the samples of the time series data received during a second time interval are reported as being anomalous.

Abstract: A method may include obtaining, from a user device, a request to access a control system among various control systems. The method may further include determining whether a user associated with the user device is authorized to access the control system based on user information associated with the user in a database. The method may further include generating, in response to determining that the user is authorized, a user code associated with a predetermined time period for accessing the control system. The method may further include transmitting the user code to the user device and the control system. The user code may authenticate a user session between the user device and the control system. The method further includes transmitting, in response to the predetermined time period expiring, a command that terminates the user session between the control system by the user device.

Abstract: A spring brake actuator (2) for use in a commercial vehicle includes a cylinder housing (4) including a spring brake piston (10) for applying a braking force, a spring guide (12) attached to the spring brake piston (10). The spring guide (12) includes a valve (14) and a retaining device (16) for retaining the valve (14). The retaining device (16) includes a basic body (34) and clamping portions (36) for clamping the retaining device (16) to the spring guide (12). The clamping portions (36) are arranged at the basic body (34) along a circumference (38) thereof, and the clamping portions (36) are spaced apart from each other forming slits (40) between the clamping portions (36) to allow for a circulation of air through the slits (40).

Abstract: Techniques for identifying certain types of network activity are disclosed, including parsing of a Uniform Resource Locator (URL) to identify a plurality of key-value pairs in a query string of the URL. The plurality of key-value pairs may include one or more potential anonymous identifiers. In an example embodiment, a machine learning algorithm is trained on the URL to determine whether the one or more potential anonymous identifiers are actual anonymous identifiers (i.e., advertising identifiers) that provide advertisers a method to identify a user device without using, for example, a permanent device identifier. In this embodiment, a ranking threshold is used to verify the URL. A verified URL associate the one or more potential anonymous identifiers with the user device as actual anonymous identifiers. Such techniques may be used to identify and eliminate malicious and/or undesirable network traffic.