Abstract: Systems and methods for tracking activities of daily living (ADL) of a user are provided. The method monitors data from one or more internet of things (IoT) devices corresponding to one or more ADLs. The method further monitors data from an activity identification module. The data received is related to an ADL and includes one or more steps specific to the ADL. The data related to the ADL is stored in an activity logging database located in a memory and compared to an activity best practices (BP) database. A score that represents a compliance level is calculated based on the compared data. A response that corresponds the compliance level from a response database is executed.

Abstract: Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the uses behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may be further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.

Abstract: Technologies for attestation techniques, systems, and methods for determining an individual's movement are provided. The individual's movement is determined by passive indoor positioning technology using channel state information (CSI). A first set of data associated with an impulse or frequency response determined using channel state information (CSI) may be received from a Wireless access point located in proximity to a monitored space. A second set of data may also be received from an Internet of Things (IoT) device located in proximity to the monitored space. The first set of data may be compared to the second set of data. A profile database may be updated to replace the first set of data with the second set of data when the first and second sets of data are different.

Abstract: A method may include receiving, from a first supplier, a first response to a sourcing event. A machine learning model to may be applied to determine a performance metric for the first response. The machine learning model being trained to determine, based on the terms included in the first response, the performance metric to indicate a relative competitiveness of the first response and a second response from a second supplier. One or more terms from the first response may be identified, based on an output of the machine learning model, as candidates for modification. A user interface may be generated to display a recommendation for the first supplier to modify the one or more terms of the first response. Related systems and computer program products are also provided.

Abstract: Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

Abstract: Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

Abstract: Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

Abstract: Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

Abstract: Techniques described herein provide for an advertising processing engine service to act as an intermediary between client applications and advertising networks. The advertising processing engine service can provide an interface with which the client can interact, via an application programming interface (API) or directly through the use of a standardized language, thereby allowing client applications to receive advertisement data without the need to be customized to communicate with specific advertising networks. On the other hand, the advertising processing engine service can receive requests from clients and communicate these requests to advertising networks in the corresponding language and/or format they require.

Abstract: Advertisement assets may be selected based on the capabilities of the device used to display or execute the advertisements. The capabilities of a device may be determined by a client bridge of an advertisement delivery system. The client bridge may analyze the capabilities and determine a set of advertisements that are compatible with the capabilities. The advertisement delivery system may select advertisements to maximize the advertisement yield within the bounds of the device capabilities.

Abstract: Techniques described herein provide for an advertising processing engine service to act as an intermediary between client applications and advertising networks. The advertising processing engine service can provide an interface with which the client can interact, via an application programming interface (API) or directly through the use of a standardized language, thereby allowing client applications to receive advertisement data without the need to be customized to communicate with specific advertising networks. On the other hand, the advertising processing engine service can receive requests from clients and communicate these requests to advertising networks in the corresponding language and/or format they require.