Abstract: A wearable sensing device (100) for sensing one or more physiological signals of a subject, comprising: a sensor unit (200), including a housing, a connection receptacle (210) and electronic circuitry configured for acquiring one or more physiological signals received via the connection receptacle; a patch unit (300), including a connection plug (310) connected via conductive tracks (341) to a plurality of electrodes (342) configured for sensing the one or more physiological signals. The connection plug (310) is configured for being connectable with the connection receptacle (210) such that the one or more physiological signals sensed by the electrodes (342) are transmitted to the electronic circuitry of the sensor unit (200).

Abstract: Systems and methods are provided for a computer-implemented method of implementing an on-demand computing network environment. A network specification is received from a user. Resources from one or more resource providers are provisioned. The on-demand computing network is configured, where configuring comprises assigning a first provisioned resource as a hub device and assigning one or more second provisioned resources as rim devices, where a particular rim device comprises a bridge device, where the bridge device repackages data received from the on-demand computing network prior to forwarding that data such that the data received from the on-demand computing network appears to terminate at the bridge device to an observer viewing the data between the hub device and the bridge device.

Abstract: The present disclosure relates to a method for allocating resources of an accelerator to two or more neural networks for execution. The two or more neural networks may include a first neural network and a second neural network. The method comprises analyzing workloads of the first neural network and the second neural network, wherein the first neural network and second neural network each includes multiple computational layers, evaluating computational resources of the accelerator for executing each computational layer of the first and second neural networks, and scheduling computational resources of the accelerator to execute one computational layer of the multiple computation layers of the first neural network and to execute one or more computational layers of the multiple computational layers of the second neural network.

Abstract: Technologies are described for determining between synchronous and asynchronous modes for computing service requests. Computing service requests are received by a computing service from clients. The computing service dynamically determines whether to use synchronous mode or asynchronous mode for processing the computing service requests. The computing service makes the dynamic determination of which mode to use (synchronous or asynchronous) based on various criteria, which can include synchronous/asynchronous mode recommendations generated by machine learning models and/or synchronous/asynchronous mode recommendations generated by static rules.

Abstract: A method for controlling an access to a resource is provided. The method includes receiving, from a first user, a first input that relates to a business criterion for a provision of the access to the resource; receiving, from a second user, a second input that relates to an application-specific criterion for the provision of the access to the resource; generating one or more one access-control rules based on the inputs; receiving an access request; and determining whether to grant the access request based on the rules, and any conditions that pertain to the access. The method effectively decouples the business-related criterion from the application-specific criterion for the access determination, thereby ensuring that business stakeholders and application owners each have an independent ability to provide inputs for generating access-control rules and policies.

Abstract: This disclosure describes techniques for authenticating a user device for a session. For instance, an authentication entity may authenticate a user device using single sign-on authentication and/or multi-factor authentication. The authentication entity may then determine a duration for which the user device is authenticated for the session. For example, the authentication entity may receive information representing a state of an environment of the user device. The authentication entity may then use the information to identify one or more transitions associated with the environment between the session and a previous session. Using the one or more transitions, the authentication entity may determine the duration for the session by increasing or decreasing a previous duration associated with the previous session.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, dynamically generate a composite application that includes one or more micro applications based, at least in part, on a user's intention.

Abstract: A method for running a stand-alone program includes: running the stand-alone program in a first main program, and establishing a network connection between a first terminal and a second terminal through the first main program run in the first terminal and a second main program run in the second terminal; and transmitting, by the first terminal, image information to the second terminal and transmitting, by the second terminal, a second operation command to the first terminal, through the network connection. A first operation object and a second operation object in the stand-alone program are separately controlled.

Abstract: Techniques for neutralizing malicious malware embedded in a media item being sent to a user equipment (UE) are discussed herein. A network device may receive (e.g., intercept) a medial file in transit via a wireless communication network being sent to a UE. The media file may include some type of perceptible content (e.g., audio, video, image data, etc.) as well as malware embedded in the media file. The network device may generate a transcoded media file based on the received media file that includes the perceptible content while neutralizing the malware.

Abstract: A system for monitoring networked computing devices with integrated electronic data encryption and decryption mechanism is provided. In particular, the system may comprise one or more host applications which may interact with an API layer to transmit encrypted host-related data through a secure data rails to a consolidated data repository. One or more downstream monitoring applications may retrieve and decrypt the host-related data from the consolidated data repository for analysis. In this way, the system may provide a secure, scalable way to monitor host computing systems and flow of sensitive electronic data.

Abstract: A web server operating in a container has resource and network limits applied to add an extra layer of security to the web server. If a monitor detects that the container's resource usage is approaching one or more of these limits, which may be indicative of a DDoS attack, (step 210) or identifies traffic sources exhibiting suspicious behaviour, such as frequently repeated requests from the same address, or from a related set of addresses, a restrictor function caps the resources allowed by the original Webserver container to allow it to recover from buffer overflow and protect servers running in other containers from overwhelming any shared resources. A duplicator function starts up replica containers with the same resource limits to take overflow traffic, and a load balancing function then directs incoming traffic to these overflow containers etc.

Abstract: The present disclosure relates to a method for verifying the production process of field devices, including a step of accessing a service platform on which data from field devices, including identification data, the respective type of field device, configuration data, containing application-specific data, environment information of the field devices or parameter data, data relating to the production date of a respective field device and repair or troubleshooting cases of the field devices are stored. The method also includes steps of detecting anomalies by statistically evaluating the repair or troubleshooting cases stored on service platform and creating a notification in the event of a detected anomaly, supplying the data of the field devices and the notifications to a machine learning or prognosis system, and evaluating the data of the field devices and the notifications by means of the machine learning or prognosis system for forecasting series errors of the field devices.

Abstract: Systems and methods for device type classification system include a rules engine and a machine learning engine. The machine learning engine can be trained using device type data from multiple networks. The machine learning engine and the rules engine can receive data for devices on a network at a first point in time. The data can be submitted to a rules engine and the machine learning engine, which each produce device type probabilities for devices on the network. The device type probabilities from the rules engine and the machine learning engine can be processed to determine device types for one or more devices on the network. As more data becomes available at later points in time, the additional data can be provided to the rules engine and the machine learning engine to update the device type determinations for the network.

Abstract: Aspects of the subject disclosure include, for example, selecting a first edge device of a first network to provide a part of a service to a communication device, establishing a first session between the first edge device and a device of a second network for a duration of the service, wherein the first session is associated with a first portion of an address, establishing a second session between the first edge device and the communication device in accordance with an access technology to facilitate a transfer of first data associated with the first part of the service to the communication device, wherein the second session is associated with a second portion of the address, and wherein the second portion of the address identifies the access technology, and transferring the first data to the communication device in accordance with the address, wherein the address comprises a third portion that identifies the communication device. Other embodiments are disclosed.

Abstract: Certain aspects of the present disclosure provide techniques for performing piecewise pointwise convolution, comprising: performing a first piecewise pointwise convolution on a first subset of data received via a first branch input at a piecewise pointwise convolution layer of a convolutional neural network (CNN) model; performing a second piecewise pointwise convolution on a second subset of data received via a second branch input at the piecewise pointwise convolution layer; determining a piecewise pointwise convolution output by summing a result of the first piecewise pointwise convolution and a result of the second piecewise pointwise convolution; and providing the piecewise pointwise convolution output to a second layer of the CNN model.

Abstract: A device management service to facilitate onboarding of a remote IoT device may receive, from a client service, a request for a session certificate for a remote device. The device management service may send the session certificate to the client service, where the session certificate is valid for the remote device to obtain a primary certificate during a session duration. The device management service may receive, from the remote device, a request for the primary certificate for the remote device. The device management service may send, to the remote device, the primary certificate, wherein the primary certificate enables communication between the remote device and the device management service, and wherein the primary certificate has a primary duration that is longer than the session duration. The device management service may establish a communication channel with the remote device according to the primary certificate.

Abstract: A system and method for communicating artificial intelligence (AI) tasks between AI resources are provided. The method comprises establishing a connection between a first AI resource and a second AI resource; encapsulating a request to process an AI task in at least one request data frame compliant with a communication protocol, wherein the at least one request data frame is encapsulated at the first AI resource; and transporting the at least one request data frame over a network using a transport protocol to the second AI resource, wherein the transport protocol provisions the transport characteristics of the AI task, and wherein the transport protocol is different than the communication protocol.

Abstract: A computer network security manager device connects to a first wireless router and then connects to a plurality of devices (e.g., a plurality of IoT devices). The computer network security manager device then performs device agnostic activation of the plurality of devices to enable the plurality of devices to perform respective functions of each device. The security manager device prevents the plurality of devices from connecting directly to the first wireless router and only allows other devices on the Internet to communicate with the plurality of devices according to specific firewall rules. In response to receiving an indication that the first wireless router to which the network security manager device is connected is out of service or no longer exists, the network security manager device prevents other devices on the Internet from being able to communicate with the plurality of devices.

Abstract: A method, a device, and a non-transitory storage medium are described in which a network performance optimization service is provided. A load balancer device may receive, from an end device, an application service request for an application service that is available from multiple server devices of an application layer network. The load balancer device may determine, from a source identifier associated with the end device and obtained from the application service request, that the source identifier does not map to a network traffic forwarding rule of a set of stored network traffic forwarding rules. In response, the load balancer device may map the source identifier to an application service profile of a set of stored application service profiles; select, based on the application service profile, a first server device of the multiple server devices and establish the first server device to be the destination of the application service request.

Abstract: Methods and apparatus to collect distributed user information for media impressions and search terms are disclosed. An example method includes accessing, from a media device, a first identifier and a search term at a first server, the first identifier corresponding to at least one of the media device or a user of the media device, the search term associated with a search request, generating a second identifier based on the first identifier, sending the second identifier and the search term from the first server to a data collection server to facilitate the data collection server to logging the search request, and receiving user information associated with the search request from a database proprietor based on the second identifier.